ࡱ> nq bjbjt+t+ ,AA2hC] ZZZZR<ZI> ^L-r3$4 b6|T@b6b649 .>999b6  ZZ b699?Ҁ 6 LZZ7Z Acknowledgements The Municipal CAOs would like to acknowledge the enthusiastic participation of the expert panel members who brought many diverse opinions and options to a concise report. We would also like to acknowledge the support and vision of the CAOs Benchmarking Steering Committee who provided the project framework and skilled leadership in its completion. MUNICIPAL CAOS BENCHMARKING INITIATIVE PHASE 2A REPORT LAND AMBULANCE (EMS) SERVICES TABLE OF CONTENTS  TOC \o "1-3" Executive Summary  PAGEREF _Toc482434357 \h ii 1. background  PAGEREF _Toc482434358 \h 1 1.1. The Chief Administrators Officers Benchmarking Vision  PAGEREF _Toc482434359 \h 1 1.2. Initiative Context  PAGEREF _Toc482434360 \h 1 1.3. Initiative Organization  PAGEREF _Toc482434361 \h 2 2. Phase 2A Methodology  PAGEREF _Toc482434362 \h 4 2.1. Overview Of Municipal Land Ambulance (Emergency Medical Services)  PAGEREF _Toc482434363 \h 4 2.2. Emergency Medical Services Performance Criteria  PAGEREF _Toc482434364 \h 5 2.3. The Five Step How To Benchmarking Methodology  PAGEREF _Toc482434365 \h 7 3. Ems Performance Indicators For Benchmarking  PAGEREF _Toc482434366 \h 8 3.1. Efficiency Indicator: Direct Operating Cost Per Staffed Vehicle Hour  PAGEREF _Toc482434367 \h 8 3.2. Effectiveness Indicator: EMS 90th Percentile Response Times To Code 4 Emergency Service Calls  PAGEREF _Toc482434368 \h 9 3.3. EMS Community Impact Indicators  PAGEREF _Toc482434369 \h 10 3.3.1. Vehicle Unit Hour Utilization Or UHU  PAGEREF _Toc482434370 \h 10 3.3.2. Urban Deployment Of Ambulance Resources  PAGEREF _Toc482434371 \h 10 3.3.3. Rural Deployment Of Ambulance Resources  PAGEREF _Toc482434372 \h 10 3.3.4. Percentage Of ALS Emergency Call Responses  PAGEREF _Toc482434373 \h 11 3.4. EMS Performance Indicator Summary  PAGEREF _Toc482434374 \h 12 4. EMS Performance results  PAGEREF _Toc482434375 \h 13 4.1. Cost Verses Quality Performance Results  PAGEREF _Toc482434376 \h 13 4.2. Efficiency verses Effectiveness, Performance Results  PAGEREF _Toc482434377 \h 13 5. EMS Benchmarking Limitations  PAGEREF _Toc482434378 \h 19 6. Conclusions And Recommendations  PAGEREF _Toc482434384 \h 21 LIST OF APPENDICES Appendix A: Workshop Data and Expert Panel Members Appendix B: Activity Based Cost Accounting Protocols Appendix C: Statistical Profiles Appendix D: Quantitative Analysis Discussion Executive Summary The Chief Administrative Officers (CAOs) of Ontarios Regional Governments, together with their colleagues from many of the Provinces major districts, counties, cities and towns, have committed themselves to an ongoing service based performance measurement and benchmarking initiative. To this end, the CAOs directed that Phase 2A of the three-phased benchmarking initiative be completed with the assessment of the following four municipal services: Land ambulance/emergency medical services (EMS); Water treatment and distribution; Wastewater collection and treatment; Solid waste management. Within the context of the overall service benchmarking initiative, EMS is in a unique situation. The CAOs note that EMS is currently in transition towards direct municipal operation, so initial efforts at benchmarking must depend on Provincial data and systems to test the model. A standard Five Step How To service-benchmarking methodology was developed during the Road Operations and Long Term Care pilots. This methodology was refined and then applied for purposes of EMS benchmarking. The 5 Step approach is driven by an EMS Expert Panel composed of municipal staff. Through a series of facilitated workshops, the Expert Panel contributed service delivery, service activity based costing (ABC), and performance measurement experience and expertise to the benchmarking process. Excellence in Emergency Medical Service delivery and management has traditionally been evaluated according to four basic performance criteria. These criteria are as follows; clinical capability, ambulance response time reliability, customer satisfaction and economic/financial system efficiency. Detailed service-activity mapping was developed to provide a common understanding and logic for defining the EMS service delivery channel. This service delivery channel begins with the 911 call and extends to the EMS unit arriving on scene and subsequently delivering the patient to hospital. EMS performance indicators of efficiency, effectiveness and community impact were designed, and their relationships to each other, in terms of cost and quality management were considered and documented. In future benchmarking cycles, operational performance data from municipal financial and EMS information systems will be used to populate the zones. The EMS Expert Panel has designed two EMS Performance Zones using the efficiency, effectiveness and community impact performance indicators. These zones move beyond an examination of isolated EMS cost performance variables or EMS quality performance variables. Instead, they integrate all the key aspects of EMS delivery into an overall sense of value based performance measurement. A series of recommendations have emerged from the expert panel discussions and the preparation of this report. They are as follows: An EMS benchmarking communications strategy should be developed ASAP to clearly explain the objectives, timelines and progress of the initiative. EMS dispatch must be transferred to the municipal sector that is accountable to the taxpayer for system operations and results. The Ministry of Health should be requested to participate in the EMS Benchmarking Initiative, and the EMS dispatch function should be selected for detailed Performance review as part of its transfer to the municipal sector. A benchmarking data warehouse should be built to serve as the ongoing repository for EMS benchmarking and performance measurement data. This benchmarking data warehouse should be internet enabled to ensure easy access by participants, should interface with ARIS or other computerized dispatching systems, and should feature extensive query and report generation capabilities. A Benchmarking and Performance Measurement sub-committee of the EMS Directors Group should be created in order to manage the implementation of a second EMS benchmarking cycle using municipal data, and oversee the development of the proposed data warehouse. The EMS benchmarking methodology and performance indicators should be independently reviewed and refined annually or as required. Municipal Treasurers should be informed that ABC financial systems are required for EMS benchmarking, in order to ensure appropriate management and performance information is available in a standardized format. The Municipal CAO's EMS benchmarking model and methodology should be reviewed with appropriate national EMS professional associations and stakeholders in order to encourage broad support and participation in this type of continuous improvement undertaking across Canada. background The Chief Administrators Officers Benchmarking Vision The Chief Administrative Officers (CAO's) of Ontarios Regional governments, together with their colleagues, from many of the Provinces major cities, counties and towns have committed themselves to an on-going service based performance measurement and benchmarking initiative. The CAOs view benchmarking as a powerful productivity enhancement tool designed to provide comparisons of service efficiency, effectiveness and community impact performance across participating jurisdictions. They anticipate that their benchmarking initiative will, over time, yield quantifiable best practice zones of cost/quality performance that can be emulated by participants. Of equal importance, the initiative will equip each participating municipality with the tools needed to evaluate its own performance against itself on an on-going basis. The brainstorming dialogue, among municipal service delivery practitioners, that characterizes this benchmarking initiative will, in and of itself, yield service delivery insights and improvements over time. The CAOs are committed to an annual benchmarking cycle that will be integrated into municipal business planning, budgeting and public reporting cycles. Benchmarking and performance measurement is evolving into a powerful and valued continuous improvement management tool for the participating municipalities. Initiative Context This service benchmarking initiative is an iterative process. While fully realizing the continuous improvement potential inherent in the benchmarking process, the CAOs caution readers against the casual use of the early performance results presented in this report to create superficial score cards that arbitrarily rank municipal service delivery performance across the Province. The CAOs benchmarking exercise is focussed on developing a diagnostic service delivery management tool not a one size fits all scorecard. The creation of well designed accountability oriented performance results will require further data standardization across the municipal sector before they can be considered viable. In the absence of a standardized data collection and reporting methodology, a comparative score card based performance system can be problematic and misleading. Service delivery benchmarking must recognize the diversity of municipal circumstances as well as the varied complexities of service delivery underlying performance data. Successive cycles of benchmarking will strengthen the process, refine the participants understanding of the data and lead to the effective emulation of identified best practices. Initiative Organization This benchmarking initiative is proceeding on the basis of three phases over the next several years (Figure 1-1). In Phase 1, completed in 1999, efforts were focused upon the development and application of a five step, practitioner-based methodology on two municipal programs: Road Operations & Maintenance; and, Long Term Care. This first phase of the initiative established the basis for the further, more comprehensive, assessment of these two programs. (Figure 1-1, Phase 2B). The Phase I work also established the benchmarking methodology for application to other municipal programs. The methodology consists of the following steps: map service-activities using municipal staff (practitioners) in expert panels and select core service-activities for benchmarking ; design cost and service quality performance indicators; apply cost and service quality indicators to selected service- activities; establish a cost and/or service quality best practice zone of performance based upon applied cost and service performance indicators; and, evaluate the service delivery practices of the benchmarking participants which occupy the best practice zone so that low cost/high quality performance can be defined and emulated. This benchmarking methodology is unique in that it relies on input from service delivery practitioners selected by the respective participating municipality. It also establishes benchmarks from the comparative assessment of performance demonstrated by each participant. These internally derived best practice zones provide for the critical assessment of service delivery practices and the strategies that can be employed to emulate them. Figure 1-1 The Phases of the Benchmarking Study The Big Picture Plan  Four additional municipal programs have been assessed using this unique methodology. Between December 1999 and April 2000, solid waste management, water treatment and distribution; waste water collection and treatment; and land ambulance (EMS) services have undergone their first cycle of benchmarking (Figure 1-1, Phase 2A). The results of the Phase 2A component of the program related to Emergency Medical Services are presented in this technical report. It is anticipated that further, more comprehensive, work will be completed on these four services in the Phase 2B component of the benchmarking program. Phase 2C of the initiative is focusing upon the development of a common Activity Based Costing (ABC) methodology for allocating indirect administrative support costs to the benchmarked services. (Figure 1-1, Phase 2C). This work is currently being undertaken by senior financial services staff selected from each of the participating municipalities. Their work is proceeding in parallel with the Phase 2A and 2B studies. Preliminary results are expected to be published later this year. It is critical that this work be completed as quickly as possible so that it can be incorporated into the Phase 2A & 2B analyses of direct service delivery costs. The third phase of the CAOs benchmarking program will focus upon the design of a common benchmarking enterprise style ABC technology platform. The ABC data model must be designed with a view to mirroring the service activity mapping developed by the expert panelists. This automated computerized approach will serve to streamline the ongoing collection, analysis and use of benchmarked performance data generated from participating municipalities throughout the province. A third party could undertake stewardship of the database and arrangements made for automated data capture and access by respective municipal staff. Phase 2A Methodology Within the context of the overall service benchmarking initiative, EMS is in a unique situation. The CAOs note that EMS is currently in transition towards direct municipal operation, so initial efforts at benchmarking must depend on Provincial data and systems to test the model. The upper tier and single tier municipalities (UTMs) are in a difficult position due to a lack of current and past data that accurately reflects the status of their systems from which they can draw benchmarking assumptions. As a result, this round of EMS benchmarking focused upon developing a theoretical model that can be populated in the future with municipal data. The exercise was forward looking and participants now have the opportunity to design their management systems in ways that support standardized benchmarking and performance measurement data requirements. Overview Of Municipal Land Ambulance (Emergency Medical Services) As part of the Provinces Local Services Re-alignment restructuring exercise, upper tier and single tier municipalities (UTMs) assumed full responsibility for the funding of land ambulance services as of January 1, 1998. This 100% municipal funding model subsequently reverted to a 50/50 cost-shared partnership with the Province in 1999. Full responsibility for the delivery of land ambulance services will be transferred to municipalities no later than January 1st 2001. The Ambulance Act and associated regulations provide the regulatory framework and service level requirements to which municipal service providers must adhere. Municipal call response times that equal the 90th percentile call response times from 1996 have been mandated by the Province. The transition process to full municipal operation is well underway, with a number of jurisdictions already assuming service delivery responsibility as of January 1, 2000. Ontario municipalities are making important commitments to the delivery of land ambulance services by opting for the Emergency Medical Services (EMS) high performance model. Each municipality will decide whether to assume responsibility for the delivery of EMS through direct public service delivery or third party contracting. As experienced providers of essential services, Ontario municipalities understand the extent of the responsibility to their constituents that EMS delivery entails. The grave consequences of sub-standard delivery of EMS demand that sophisticated technologies and experienced management infrastructure be put in place. Service benchmarking and performance measurement tools are an important component of this management infrastructure. Figure 2-1 EMBED PowerPoint.Slide.8  Emergency Medical Services Performance Criteria Excellence in Emergency Medical Service delivery and management has traditionally been evaluated according to four basic performance criteria. These criteria are as follows: clinical capability; ambulance response time reliability; customer satisfaction; and economic/financial system efficiency. In achieving performance factors, high performance systems are most often characterized by flexible production strategies which included: peak load staffing; event driven deployment; performance based contracting; first responder partnerships; provider dispatch capability; priority dispatching. When combined, these features allow EMS to achieve high levels of clinical sophistication, response time reliability, economic efficiency and customer satisfaction that are described above. These criteria are associated with EMS systems, where high performance is defined as the ability of the EMS system to meet unit cost, vehicle utilization, response time and quality of care service level targets. The high performance EMS model operates in marked contrast to Ontarios historically budget driven level of effort approach to land ambulance. Response times are a key factor in the success of an EMS program and have a direct impact on patient outcomes and survival. This is the most prominent measure of quality performance in EMS. Response time standards will vary according to political and financial priorities of a given municipality. It is still possible to define performance parameters for remote and rural municipalities based upon realistic system expectations. The publics ability to rely on the prompt arrival of their ambulance service is a paramount concern and is typically the first question asked when any incident is under scrutiny. The study examines high density (i.e. high call volume) and low density response kilometers in each region examined. Each EMS municipal service provider will have to determine their own response time standards (subject to the Provinces regulations) and develop deployment and response time improvement strategies accordingly. Their EMS management teams will have to work closely with stakeholders and partners to determine the required improvements and enhancements to each EMS system. Benchmarking and performance measurement will support this service delivery improvement process by providing relevant cost/quality performance information and focusing on service delivery best practices that can be adapted from other jurisdictions. The Five Step How To Benchmarking Methodology A standard Five Step How To service-benchmarking methodology was developed during the Phase 1 Pilot Studies. This methodology was refined and then applied for the purposes of EMS benchmarking in Phase 2A. The 5 Step approach is driven by an EMS expert panel comprised of municipal staff. Through a series of facilitated workshops, the expert panel contributed service delivery, service activity based costing (ABC), and performance measurement experience and expertise to the benchmarking process (See Appendix A for Workshop dates and expert panel members). Between December 1999 and April 2000, the expert panel progressed through the methodology in the following sequence: Detailed service-activity mapping was developed to provide a common understanding and logic for defining the EMS service delivery channel. This service delivery channel begins with the 911 call and extends to the EMS unit arriving on scene and subsequently delivering the patient to hospital. The activity mapped service channel could serve as the basis for future municipal activity based costing systems for EMS (See Figure 2-1). The EMS service-activity map was carefully reviewed and emergency responses both high density (urban) and low density (rural) activities were selected for detailed benchmarking analysis on the basis of their importance to public safety and their financial significance. Activity-based cost accounting protocols dealing with direct service-activity costs were discussed. These costing protocols should serve as the basis for a future common activity based costing system for EMS once municipal delivery is in place (Appendix B). For the purposes of this exercise, the high level provincial local services restructuring billings were utilized pending future municipal financial data on EMS operations. EMS performance indicators of efficiency, effectiveness and community impact were designed, and their relationships to each other, in terms of best practices cost and quality management, were considered and documented. Two Performance Zones for EMS were designed using the efficiency, effectiveness and community impact performance indicators. In future benchmarking cycles, operational performance data from municipal financial and EMS information systems will be used to populate the zones. Best Practice emulation strategies focused on management and service delivery innovations employed by the jurisdictions occupying the Performance Zone will be fully developed over time recognizing the transition to municipal management delivery of EMS is still underway. In order to test the validity and practicality of the EMS performance indicators and the best practices framework that has emerged from the work of the expert panel, a data test pilot was designed and implemented. Historical data (1996 and 1998) for five anonymous EMS service providers was obtained from the Ministry of Health ARIS information system. This EMS response time and utilization data, combined with LSR financial invoice information and regional profile information (e.g. total square kilometers per region), was used to populate the expert panels performance zone benchmarking framework. The data test pilot demonstrated that the data required to populate the indicators and the resulting model can be made readily available, for the most part, and that future data refinements will improve the precision and validity of the outputs. For instance, future refinements of EMS costing data currently buried in single-line LSR invoices will exclude unavoidable one time paramedic training and facility transition costs that are unique to each municipality because of historical provincial practices. This type of financial data cleansing will ensure apples to apples unit cost comparability across participants in future benchmarking cycles featuring municipally operated EMS systems. It should be emphasized that the ARIS data is being used to test a future oriented municipal performance measurement tool, and is not being used to evaluate historical provincial land ambulance performance results. Ems Performance Indicators For Benchmarking The following efficiency, effectiveness and community impact performance indicators have been selected/designed by the expert panel to measure EMS performance. Efficiency Indicator: Direct Operating Cost Per Staffed Vehicle Hour Efficiency performance indicators measure the cost per unit of service delivered (i.e. service inputs/service outputs). In the case of EMS, direct operating costs before subsidy are the appropriate efficiency indicator numerator. EMS is a seven-day per week, 24 hour per day essential service. Planned vehicle hours of deployed ambulance coverage are an industry-accepted unit of service measurement. Vehicle hours of deployed service are preferred over EMS calls as an appropriate efficiency indicator denominator. EMS resources deployed in the field are primarily fixed costs. These are vehicles and staff. These costs are not driven, for the most part, by fluctuations in call volumes. Cost per call efficiency ratios would be inherently unstable, given fixed operating costs and variable call patterns, providing little management value and potential for adverse public misunderstanding about EMS cost management performance. Over time, a jurisdictions direct operating cost per vehicle hour can be tracked against itself, against CPI inflation, and against other appropriate jurisdictions. The expert panel acknowledges that market factors affecting wage rates differ across the Province and that cross-jurisdictional efficiency comparisons must be exercised with caution. Effectiveness Indicator: EMS 90th Percentile Response Times To Code 4 Emergency Service Calls Service effectiveness performance indicators typically measure the outcomes achieved by a service provider in terms of meeting fundamental performance objectives and achieving desired service quality/results. In the case of EMS, service effectiveness focuses on the timeliness of EMS arrival at the scene of a medical emergency and the successful outcomes generated by EMS patient interventions. The expert panel focused its performance measurement efforts on timeliness of response to calls/requests for emergency services. Research and investigation of appropriate measurement methodologies and strategies concerning patient intervention outcomes is strongly supported by the panelists and will be pursued in conjunction with base hospitals and the medical community. EMS call response times are measured in terms of 90th percentile response times to Code 4 emergency calls, or life threatening emergencies. A jurisdictions response times can be compared against itself over time. Response time performance can also be measured against the industry standard of 8:59 90th percentile response time (imported from the United States). Finally, response times can be prudently and cautiously measured against other appropriate benchmarking jurisdictions. Response time results from the benchmarking exercise may indicate some degree of broad compliance/non-compliance with the Provinces legislated target -- current 90th percentile response times equal to 90th percentile of the average 1996 call response times. EMS Community Impact Indicators Community impact performance indicators measure the relationship between the amount or quality of service supplied to the community versus the demand for service generated by the community. Vehicle Unit Hour Utilization Or UHU The Expert Panel was unanimous in noting UHU performance indicators must recognize differences in EMS service delivery realities across urban and rural forms. Urban Deployment Of Ambulance Resources Ambulances are located on the basis of historic demand. The goal is to deploy enough resources to meet response time benchmarks (U.S. standard of 8min 59sec 90% of the time to high priority emergencies) without deploying excess redundancy into the system. Too little redundancy means poor response times, and an overextended staff. Too much redundancy means financial inefficiency. A typical UHU for an urban area is 0.4 (or one patient carried for every 2.5 vehicle hours). Rural Deployment Of Ambulance Resources The predominant factor in rural EMS planning is geographic demand. In rural settings, calls typically come one at a time. Deployment strategies, therefore, are based on drive times rather than meeting call volume demands. The response time determinants will be based on community and political standards and desires. These community standards are reflected in the current allocation and location of ambulance resources. Typical rural UHU ratios are .2 to .25 or one patient carry every 4 to 5 hours. Traditional Unit Hour Utilization measurements calculate the number of patient transportation an ambulance accomplishes per hour of deployment. The Expert Panel designed a modified or weighted UHU to better express geographic and urban form differences between high and low density call volume areas. This vehicle unit hour utilization or weighted UHU measures the minutes and seconds per hour that an ambulance spends responding to a demand for Code 1-6 calls for service. Stand-by or code 8s were not included as they represent activity, but not public or institutional demand. As ambulances spend a higher proportion of each operating hour responding to demands for service, their utilization becomes increasingly economical, to a point. Industry experience suggests that once utilization rates per hour start climbing past a .4 (one patient carry/ 2.5 hours) level, response times can begin to degrade. Ambulances simply become too busy and planned deployment strategies erode creating a deterioration in service delivery effectiveness. The management challenge for EMS systems is to respond to community demand (i.e. calls) by deploying vehicle hours of service in an amount and fashion that maximizes utilization rates without degrading targeted response times. The UHU performance indicator allows for the ongoing tracking of successful supply/demand management by a given jurisdiction against itself over time, or across appropriate EMS systems. Percentage Of ALS Emergency Call Responses UHU directs management attention to the amount of EMS service supplied/demanded in the community. Relative differences in quality of service level must also be considered. Is the EMS system delivering the quality level of service demanded/required by the community? A Percentage of Calls Featuring ALS performance indicator focuses Performance management analysis on the relative quality of service associated with each benchmarked EMS system. Paramedics with Basic Life Support (BLS) certification can only perform a limited number of patient procedures and can only administer a relatively small number of non-IV medications and drugs. Paramedics with Advanced Life Support (ALS) certification can perform more critical life saving interventions/procedures such as advanced airway management and administer IV drugs. The promise of higher survival rates associated with ALS paramedic responses to cardiac arrests has been the driving force behind previous service level improvement initiatives like the provinces OPALS paramedic training program. Significant increases in % ALS response will be evident in the benchmarking data for a number of years, given the significant disparities in ALS qualified personnel across jurisdictions. EMS Performance Indicator Summary The collection of performance indicators selected by the expert panelists is summarized in Figure 3-1. These performance indicators, and the powerful management relationships and trade-offs between them, are the conceptual building blocks that were used to design an ongoing performance zones model of EMS performance. Once transition to municipal operation of EMS is complete, the zones of performance designed by the panel will help identify innovative service providers. The management and delivery practices of these innovative service providers can be analyzed, reviewed and eventually emulated to improve EMS service cost and/or quality across the province. Figure 3-1 EMS PERFORMANCE INDICATORS SUMMARY Performance Indicator TypeEMS Performance Indicator(s)Data Sources For 2000 BenchmarkingAppropriate Comparison FrameworkEfficiencyGross Cost per Vehicle HourLSR Invoices Approved staffing patterns ARIS 1996 1998Compare against self over time Compare cautiously across EMS systemsEffectiveness90th Percentile Response Time to Life Threatening Calls (Code 4)ARIS 1996 1998 Compare against self over time Compare cautiously across EMS systemsCommunity ImpactVehicle Unit Hour Utilization % ALS Call ResponseARIS 1996 1998 Approved staffing patterns OPALSCompare against self over time Compare cautiously across EMS systems EMS Performance results The EMS expert panel has designed two zones of EMS performance using the efficiency, effectiveness and community impact performance indicators. These zones move beyond an examination of isolated EMS cost performance variables or EMS quality performance variables. Instead, they integrate all the key aspects of EMS delivery into an overall sense of value-based performance measurement. Cost Verses Quality Performance Results The first zone explores the management relationship between an EMS systems cost per vehicle hour of service (i.e. unit costs) and its % ALS call response rates (i.e. service quality levels). Figure 4-1 has been populated with LSR invoice unit cost information and the ARIS derived % ALS call response rates for the five anonymous test data jurisdictions. The benchmarked EMS performance zone is illustrated as the overlap range in Figure 4-1 consisting of below average unit cost performance combined with an above average % ALS call response rate. By occupying the identified zone of performance, an EMS system operator is both cost-efficient and delivering a superior quality level of paramedic service. Efficiency verses Effectiveness, Performance Results The second EMS Performance Zone explores the management and performance trade-off between 90th Percentile Call Response Times and Vehicle UHU rates. Figures 4-2 and 4-3 have been populated with ARIS call response data and UHU rates for the five anonymous test jurisdictions. These two Figures are in fact two versions of the same performance zone; one version for comparing each jurisdictions high density call volume areas (usually urban) and one version for comparing each jurisdictions low density call areas (non-urban). Separating response time and UHU data into two zones, according to call volume density, allows for meaningful comparisons across jurisdictions featuring different blends of rural and urban forms. The technical criteria used to define the call density data sets within each jurisdiction are explained in Figure 4-5. Figure 4-1  EMBED Excel.Chart.8 \s  Figure 4-2  EMBED Excel.Chart.8 \s  Figure 4-3  Figure 4-4  The second benchmarked EMS performance zone is illustrated as the overlap in the two Figures consisting of below average 90th percentile response time and above average vehicle UHU rates. By occupying the identified zone of performance, an EMS system operator is responding relatively quickly to life threatening medical emergencies while achieving relatively high economic utilization of deployed ambulances. Another way the second performance zone relationship can be portrayed is through the creation of a performance dividend between response time and UHU. This graphic demonstrates the relationship between response time and UHU. As UHU increases past an acceptable threshold (i.e. .4) response times will increase. The performance objective is to maximize UHU while achieving minimum response time targets, thus increasing the size of the performance dividend. The expert panel has expressed a desire to further refine and research ways to understand and portray this dividend relationship in a statistically appropriate fashion. An initial attempt to portray the dividend appears in Figure 4-4. The notion of a response time versus UHU performance dividend may be more helpful when applied to each jurisdiction over time. Figure 4-5 Inclusion Criteria for Utilization Calculations CriteriaParameterExplanationCalls per kilometer> 2 calls per kilometer per month or 24 per yearEquals high activity or high density cellMaximum time per call< 6 hoursDeemed outlierCall TypeCode 1, 2, 3, or 4Indicates publics demand for service EMS Benchmarking Limitations As municipalities assume direct service delivery for EMS, differences in benchmarking results across the two performance zones will, in part, be attributed to management performance. Legitimate performance differences will emerge depending on the models opted for in delivering EMS, the management of assets and human resources and the vehicle deployment strategies put in place. Differences in performance results will also be attributable, in part, to uncontrollable variables such as the size of the municipality, its relative urbanization, the age demographics, fluctuations in population as in resort areas and economic characteristics of its population. The process also needs some way of quantifying not only the first arriving unit on-scene, but arrival of a unit capable of transporting as well. In order to understand the magnitude of these uncontrollable factors, statistical profiles of the five anonymous test jurisdictions were prepared (see Appendix C). These profiles document the similarities and differences across the five test jurisdictions, and provide a context for understanding the Performance zone results. Future iterations of EMS benchmarking may attempt to normalize Performance data to reduce the impact of these uncontrollable factors. Time-series comparisons of a given jurisdictions results against its own historical performance will not face the same degree of complex yeah but uncontrollable factors as will comparisons across jurisdictions. Perhaps more significant than the impact of uncontrollable yeah but factors, is the role of ambulance dispatch on EMS performance. Currently the Province continues to fund and operate all land ambulance dispatch services outside of Toronto. Because dispatch drives ambulance deployment within and across municipal boundaries, it has a very significant impact on EMS response times, % ALS call response, and vehicle UHU. Until municipalities exercise effective operational control over dispatch, they cannot control EMS performance results. If Performance benchmarking and other service delivery innovations occurring down stream in the EMS delivery channel are going to be effective, municipal up stream control of dispatch is essential. Benchmarking of the dispatch function is also highly recommended. Relatively inexpensive improvements in dispatch systems/processes can lead to significant improvements in 90th percentile response time, % ALS call response rates and vehicle UHU. A final limitation on the power and precision of benchmarking involves municipal financial information systems. ABC-friendly municipal general ledgers and accounting structures - including Enterprise style time & labour costing systems do not currently exist in most municipalities. ABC will need to be developed and standardized across jurisdictions to support EMS benchmarking and performance measurement. Apples to apples financial data are a must. In this regard the Toronto cost center framework for EMS may be a useful guide for the benchmarking jurisdictions to adopt. A description of the quantitative evaluation methods used in the analysis of data is provided in Appendix D. EMS Benchmarking: Conclusions And Recommendations EMS benchmarking has progressed through its initial cycle. Powerful sets of efficiency, effectiveness and community impact performance indicators have been designed. These indicators have been used to develop two performance zones. The indicators and zones have been populated using LSR and ARIS test data for five municipalities. Municipal data from 2000 and onwards will be used to annually populate the model during future cycles. EMS benchmarking data will be available for integration into municipal business planning and budget cycles. When transition to municipal delivery is further along, best practice emulation strategies focused on innovative service delivery techniques/practices will be implemented. A series of recommendations have emerged from the expert panel discussions and the preparation of this report. They are as follows: An EMS benchmarking communications strategy should be developed ASAP to clearly explain the objectives, timelines and progress of the initiative. The expert panel is committed to improving EMS system performance. The CAOs benchmarking process clearly demonstrates that integrated dispatch and delivery management is necessary to maximize EMS performance. EMS dispatch must be transferred to the municipal sector that is accountable to the taxpayer for system operations and results. The Ministry of Health should be requested to participate in the EMS Benchmarking Initiative, and the EMS dispatch function should be selected for detailed Performance review as part of its transfer to the municipal sector. A benchmarking data warehouse should be built to serve as the ongoing repository for EMS benchmarking and performance measurement data. This benchmarking data warehouse should be internet enabled to ensure easy access by participants, should interface with ARIS or other computerized dispatching systems, and should feature extensive query and report generation capabilities. A Benchmarking and Performance Measurement sub-committee of the EMS Directors Group should be created in order to manage the implementation of a second EMS benchmarking cycle using municipal data, and oversee the development of the proposed data warehouse. The EMS benchmarking methodology and performance indicators should be independently reviewed and refined annually or as required. Municipal Treasurers should be informed that ABC financial systems are required for EMS benchmarking, -- in order to ensure appropriate management and performance information is available in a standardized format. The Municipal CAO's EMS benchmarking model and methodology should be reviewed with appropriate national EMS professional associations and stakeholders, in order to encourage broad support and participation in this type of continuous improvement undertaking across Canada.  FILENAME \p \* MERGEFORMAT D:\wastemgt\eo99468\Phase 2A\EMS\Report_.doc Appendix A Workshop Data and Expert Panel Members MUNICIPAL CAO'S BENCHMARKING INITIATIVE EXPERT PANEL WORKSHOP #1 DECEMBER 13 AND 14, 1999 NameMunicipalityJennifer SeverinEarth Tech Canada Inc.Brian FieldEarth Tech Canada Inc.Ladiane BlaisCity of LondonW. ChandonTorontoJ. SpaulsTorontoT. BurtonMuskokaR. ArmstrongDurhamE. GlibberyTorontoJohn PrnoWaterlooJim KingHaltonJim McEwenOxfordJohn KobardaCity of LondonDave FieldsCity of WindsorMyles CassidyOttawa-CarletonAnthony DiMonteRegion of YorkMerideth MorrisonRegion of YorkTom BedfordEast Ont. Amb. CooperativeSteve McHughRegion of PeelCarmen D'AngeloRegional Municipality of Haldimand-NorfolkTim P. BeadmanRegion of SudburyLorne TurnerCity of TorontoRon Kelusky City of Toronto MUNICIPAL CAO'S BENCHMARKING INITIATIVE EXPERT PANEL WORKSHOP #2 April 13, 2000 NameMunicipalityBrian FieldEarth Tech Canada Inc.Denis MerrallCounty of MiddlesexGwen FrancisCity of LondonJ. SpaulsTorontoW. ChandonTorontoB BrowettHamilton WentworthR. ArmstrongDurhamE. GlibberyTorontoJohn PrnoWaterlooJim KingHaltonGwen FrancisCity of LondonMike GobetCity of WindsorJoanne MylesOttawa-CarletonAnthony DiMonteRegion of YorkTom BedfordEast Ont. Amb. CooperativeJohn ByardRegion of PeelCarmen D'AngeloRegional Municipality of Haldimand-Norfolk Municipal CAO Benchmarking MemberExpert Panel MunicipalityAnthony Di MonteRegion of YorkCarmen D'AngeloRegional of Haldimand-NorfolkDave FieldsCity of WindsorDavid WalmsleyEarth Tech CanadaDennis MerrallMiddlesex CountyElizabeth GlibberryCity of TorontoGeorge WellsUniversity of OttawaGwen FrancisCity of LondonHelen MacReaSimcoe CountyJim KingHalton RegionJim McEwenOxford CountyJoanne Yelle-WeatherallRegion of Ottawa-CarletonJohn CunnaneRegion of NiagaraJohn KobardaCity of LondonJohn PrnoRegion of WaterlooJohn SpaulsCity of TorontoJoseph MooreRegion of PeelKarl MullerCity of HamiltonMeredith MorrisonRegion of YorkRick ArmstrongRegion of DurhamRon KeluskyCity of TorontoSteve McHughRegion of PeelTerri BurtonDistrict of MuskokaTim BeadmanRegion of SudburyTom BedfordCounty of Lennox & AddingtonWalter ChandonCity of Toronto Appendix B Activity Based Cost Accounting Protocols Appendix B Sample EMS Budget ABC Template (Toronto Ambulance Service) Category Sub- Set EMS Operations Direct Patient Care Emergency Support OPS Non- Emerg OPS Scheduling CACC Corporate Charges Accounting and Financial Clerical Support Corporate Charges EMS Program Development Community and Health Liaison Education and Development Quality Service Review EMS Operations Support Facilities Support Material Management Departmental Charges Equipment Maint. Fleet Operations Communication Systems Appendix C Statistical Profiles 1998 Regional Data     EMBED Word.Picture.8  UTM ET1_CallReceived by MonthT3 to TMaxStaffed Hours Per MonthT Max in hoursUHU90% Response Time Code 4Jan.15139290199104937.800.248838.00Feb14200668199104631.660.233806.00April14553984199104746.900.238791.00June14755181199104812.520.242807.00Aug.13904539199104535.070.228807.00Oct.14553118199104746.610.238760.00Dec.15523683199105063.170.254818.00 APPENDIX D QUANTITATIVE ANALYSIS DISCUSSION Data Analysis of Performance Weighted UHU A multivariate regression based modeling approach was undertaken to characterize the relationship of T3Tmax in terms of staff hours and additional covariates such as area, percent high density and total call volume per square kilometer. The resulting model can be used to express UHU as a function of the covariates providing a quantitative formula to describe the adjusted UHU controlling for the effects of these covariates. This modeling technique chosen was based on considerations of the purpose of the investigation, the mathematical characteristics of the variables involved, the statistical assumptions about the variables and the data available. Several modeling steps could not be considered, in particular, stepwise procedures and diagnostics, due to the paucity of available data. Statistical Modeling The two methodological issues arising in the analysis of the data are analyzing the relationship of covariates T3Tmax and then UMU, and accounting for the correlation among UTMs clustered within sampling units over time. The first issue is well established with ordinary multiple regression (OMR). OMR, is a commonly employed statistical method to assess the relationship between a continuous outcome and covariates that includes both categorical and continuous variables. The basic assumption of all regression analysis is that all observations are statistically independent, or at least uncorrelated with each other. Statistical methods have recently been developed to account for the correlation among subjects. One method developed for analysis of correlated data is generalized estimating equations (GEE), which is an extension of generalized linear models (GLM). GEE can accommodate large numbers of clusters of varying sizes and is used to fit a broad range of models. Ordinary Multiple Regression Multiple regression is used to describe the relationship between a continuous response variable and a set of explanatory variables that may include both categorical and continuous variables. OMR remains a widely used and effective tool for assessing the magnitude of the effect of the explanatory variables on such response variables. Area, percent high density and total call volume (per square kilometer) were considered as covariates in the model. An adjusted UHU was then derived. However, given the paucity of the data available, these variables could not be considered simultaneously in the model and the results are not robust (i.e. standard error of the parameter estimates were large and the corresponding 95% confidence intervals were wide etc.). Generalized Linear Models If more UTMs were used in the analysis, then the OMR results and other linear models would be more robust. GLM provides a common framework for analyzing regression models without making strict distribution assumptions. They have been applied to a variety of outcomes, including continuous, binary, categorical, and time-to-event. GLM are a general class of models for independent observations. A GLM has three components. First, a random component that defines the form of the distribution for the ith observation belonging to the exponential family of distributions. This family includes, the binomial, poisson, and normal distribution, corresponding to logistic, loglinear, and linear regression, respectively. Second, the systematic component given by the linear predictor, for the ith observation. Third, the link function, , which links the random and systematic equations by the equation. Generalized Estimating Equations More information can be considered by using several years of data from the same UTM. If more information is used for UTMs corresponding to different years, then the correlation among these observations must be considered and a more sophisticated statistical approach followed. Both OMR and GLM have the assumption that observations were independent. In some independence assumptions may not hold, and ignoring the intra-cluster correlation would lead to incorrect variance estimates of the regression parameters. GEE may be viewed as an extension of GLM from random sampling to cluster sampling as they account for the dependence of observations within clusters. The basic GEE method, referred to as GEE-independent, yields estimated regression coefficients computed as if the data were independent observations and applies a consistent variance that explicitly accounts for the within-cluster correlation. The GEE method maintains three statistical assumptions: 1) the model is linear; 2) the number of clusters is relatively large; and 3) the observations in different clusters are independent (i.e., that Vi is a block diagonal matrix). The following are advantages of the GEE method over other methods developed to analyze correlated data: GEE estimates consistent standard errors in the presence of within-cluster correlation; GEE provides a general framework that applies to nearly any kind of independent variable, including continuous, binary, categorical, and time-to-event; The method does not make strict distribution assumptions (e.g., normality); GEE is relatively simple to apply in practice through readily available software; and GEE is suited for analyzing large numbers of clusters of varying size. The GEE-exchangeable method models the correlation structure within clusters. The GEE-exchangeable method differs from the GEE-independent in the type of correlation matrix specified and in iterating between estimating the regression parameters and the correlations. The exchangeable correlation matrix signifies equal correlations among all pairs of responses within a cluster. The iterative estimation process results in parameter estimates that are not equal to the OMR results. Studies have shown that modeling the correlation structure explicitly can be more efficient then the GEE-independent method for estimating the effect of within-cluster covariates, particularly when the pair wise correlations are high. However, the GEE-exchangeable and GEE-independent methods have similar efficiency for between cluster covariates. Therefore if the study is more interested on the treatment effect, then the individual response the GEE-independent method may be used.  FILENAME \p L:\MSWORD\Michael Boggs\OMBI Reports\OMBI Phase 1 EMS Report w Logo (2001 09 06).doc  Ontario Municipal CAOs Benchmarking Initiative Land Ambulance Services Page  PAGE i  Ontario Municipal CAOS Benchmarking Initiative Ambulance (EMS) Services Page  PAGE 4 Page  PAGE 17 Page  PAGE 22 PERFORMANCE ZONE PERFORMANCE ZONE PERFORMANCE ZONE Appendix 2 rsu !01KLMNO 9:TUVWXںڰںںڦںںڜںںڒںںڈںjqUmHjUmHjwUmHjUmHj}UmH jUmHj;UmH;mHj;UmHmHj56CJU56 56CJ6CJ$ 56CJ$6CJ5stu"P!Yj$  p$  $  $ ($d$d$ $d@&($($@&($stu"P!Yj$ A 4 5 }  b {vqlgb]n@A4Q `T%S( ( (((($XJKefghi   ! " # I K ! ; < = ? @ p q jYUmHjUmHj_UmHH*mHjUmHjeUmHjUmHjkUmHjUmH jUmHmH=$ A 4 5 }  b . c ($$ & F d  d@& $d@& $  L$  p$  p$    . / 0 2 3 \ ] w x y { |      A B \ ] ^ ` a j UmHjA UmHj UmHjG UmHjUmHjMUmHjUmHjSUmHmH jUmHjUmH= XY,/001 1!1"1>>>,>>>BBB C C C C CCiDDE-OfOOPRR SSYTsT6UVUKVoVccgghh\i^iiivvzz}}}>}}}}5CJ 5OJQJ5CJOJQJB*B* jUj< CJUVmH jU>*H*j; *5U *66565j56CJUD . c 7 1\j]^¸ukaWM(V  (V  (SV  (TV  (V  (0V   (V (G((+(U(((z((U  (U  (U   ('U ((( Jw 7 1\j]^($ & FVd p@ ( & FVd p@ (d ($ & FUd ($ & FU#dx($d J#Q%d%(-*E*,,S---d./0000 1"13688;@<>:?ɻ~{xumj^YT((    JXY  W       `    t   t      J#Q%d%(-*E*,,S---d./0000 1"136$ $d@& & F688;@<>:??/AB C=CCD&DADiDDE!E@E^E|EEPFGJM( & FQ( & FD($@&(:??/AB C=CCD&DADiDDE!E@E^E|EEPFGJM4MNOQRxsnidVQJE(n (%G (   (x(W(({(Q  (Q  (Q  (Q  (Q   (Q ((D  (D  ( D   (!D (   ((((M4MNOQRYT6UKV_WYR]~]^d^L_bmccdYef^ghiij( & FG(($ & FG(RYT6UKV_WYR]~]^d^L_bmccdYef^ghiijjakkgmql`[MH(Z   Z("  "(   (((((   (((4  4(  (C((G  (G  (G  (\G  jjakkgmmoxrstBunuzv0wxNzOzrzz{}}}>}Y}v}} ($d<$/$@&..@&( 8gmmoxrstBunuzv0wxNzOzrzz{}}}>}Y}v}}}}}}~^~{tmib[TM (  ( 9 ( U ( `a (  (  (  ( /..((v(   (((((y   y(((((T   T}}}}}~^~_~m~~]C$$l\x\ $ ($d<<$E$$l\x\ $ ($d<$ }}^~_~m~o~q~~GՇ %&'()*56CDFňLj"-efop{|?PQ./.ɤɛB*B*5>*jn5CJUj,^5CJUj5CJUmH jLUj< CJUVmH5CJ j<UjOX< CJUVmH jU jUmH5H* 6CJH*5CJCJ6CJ7^~_~m~~~~Gqw[NԇՇև 57CEƿytojfc^Yc^tcT((((( (z(2(p   p(q(c  c(  _ (  (  (  (  (  ( ] ( ^ ( m (  (  ~~~Gqw[N( & FC$$l\x\ $ ($d<<$ (d<<$ԇՇև 57CEF"-]fp|($$(@&($($@&(d(($"@&(EF"-]fp|} ':_`aVJD<wrmhc^YT(%((( ((b(  ( (  (  (  (  ( * ( @A ( k (  (  (  (  ( (((R( ( |} ':_`aVJD ( ($dx$(dx$;$$l tF r$@  D<)I¢ãE+,-.{|}~$ 4d@&($ ($ & FS( & FS()I¢ãE+,-.{|}~ɿzupkfa\WRM  4((((S  (S  (3S  (4S  (S  (S   (tS ((  (l(./LMyz{/ Gݯޯ &9GMcݱޱ%&*+/045LMNORʲϲ B*hnH B*OJQJhnH  jsUju< CJUVmH jU jnU jU jUj5CJUmH0J 0J 5 0J 5>*5CJ5 5:CJ5CJ ;CJ mH;CJ j;CJ U8!./@W d<<$1$$Tl40L\ <@ $d<<$$$@&$d$!./@WXd{|˧ӧԧ~yupkgb]                        #$  3  AB  Y  ef  }      #WXd{|˧ӧԧϐxPLLTT<<$ p@ @@@@ d<<$/$$Tl0L\ <@ "#.56CRS_op~PDLtt|πψ d<<$/$$Tl0L\ <@ "#.56CRS_op~ШѨݨ&QRastþ}xsojea\  IJ  \  kl                    ./  ?  MN  ^  jk  z          #ШѨݨ&QRastŠtňxx$/$$Tl0L\ <@ d<<$ک %<=K_`m|}ªϪ֪תĿ|wrnid`                 !"  *  45  D  QR  f  tu             +,  <#ک %<=K_`m|}tLP<<$ p@ @@@@ d<<$1$$Tl40@ $d<<$$$@&ªϪ֪ת -.9IxTTPDtp1$$Tl40@ d<<$ -.9IJWghxʫ˫۫%,FGXgh½~|wrnid`                    )*  9  IJ  Z  gh  x              #IJWghxʫ˫۫%,Fx΀Πl@& d<<$1$$Tl40@ FGXghxìլ֬ )>?Ltt<<$ p@ @@@@ d<<$$$lf!hxìլ֬ )>?L[\iwx­ܭݭzuqlgc^  +,  F  ^_  m  xy                      #  23  E  TU  e  qr    "L[\iwx­ܭݭ $78DTp`hۀtxt$$lf! d<<$ $78DTUbqr~ҮӮ߮ ./;MN¾|xsnje^Z              )  56  G  VW  f  xy                       #TUbqr~ҮӮ߮ ./;txtt| d<<$$$lf!;MNZwxըՀ$ d<<$$$lf!<<$ p@ @@@@NZwxݯ &9\sҰ5M½zwtolidZufv_`abcdefghijklmopq        &ݯ &9\sҰ5Mw x p@  x@& p@   x p@ x p@ :&)@@@x@&$dMwƱݱ߱%'(*,-/134{vqlgd_\%(((((( 3"B$Ʊݱ߱3$d$"x&d(d $- x p@ %'(*,-/134PRSYZ[\]^_`yĨ$$$$ H  %$$$$% $-p@ @@@@($($($@&4PRSYZ[\]^_`yȲɲʲϲز޲þzupkfa\                %  +  3  9  B  G  HI  P  b  f  u                      "yȲɲʲϲز޲̨̰$$3 H  %$$$$$ H  %$$%.4<BIJKPY_gmtuv{óʳ˳̳|wrmhc_Z  FG  N  T  \  b  k  p  qr  y                                        "%.4<BIJKPY_gmtuv{$$3 H  %$$$%KPv{̳ѳ20178>_`fghiqrxy{| 89CJ 589CJ0J* j0J*U jUmHhmHhnH jUhnH 6H* jJEHU65CJB*OJQJhnH  B*hnH ?óʳ˳̳ѳڳ$$$$3 H  %$$̳ѳڳ012\xd}@V"zwtifcPW  {W  W  W (     #  )  1  7  @  E&012\xd}@V"z_$ & FP & FW( & F$@&$"z_23467XYghjk}~" !  "iP  P   P  P   P 223467XYjk}~"&d(d !$d(d $-1"d!$d(d!$d(d "d&d(d$$"&d(d!$d(d+ 0&P/ =!"#[$%200&PP/ =!"#[$%2 00&PP/ =!"#[$%+&P0= /!"[#$%(&P/ =!"#[$%$/ =!"#[$%8 000 &P0P= /!"#$%200 &PP/ =!"#$%200 &PP/ =!"#$%F=rX{^Rfۊ"dJFIFlPhotoshop 3.08BIMxHHddG(HH(d'`8BIM8BIM 8BIM8BIM 8BIM 8BIM' 8BIMH/fflff/ff2Z5-8BIMp8BIM@@8BIM8BIMkOMBI 2C Logo_FINALk8BIM8BIM Bp4PD@ &JFIFHHAdobed            4p"?   3!1AQa"q2B#$Rb34rC%Scs5&DTdE£t6UeuF'Vfv7GWgw5!1AQaq"2B#R3$brCScs4%&5DTdEU6teuFVfv'7GWgw ?TI%)$;zo5G5Pc?k?뉓 |bR &Jں[KOv:q:ų66H=oY2vq7?^?'YQmc*荱r2x 8=Nә ϋZrsgxs3WVuɋ ƒ?ύg}`cn5#U^oNgܴXkZM8!d,hJޗ}w#JGݧVI.RXZ΂~pc?1I$q<3LM9~ azRI$0UU53ױNښGg"Zu΋LT8/skXִցFxGpGZgs7 SN,]V/T]F,dՄm~ncF}?Sӻձ13mnT(;o{1-ץ{*?⚌j>udwzF8`zx29DHϮ}[ݸn>>Cl]m}3=W~ҽFwB鿶0](2Y+o}7c}_]Iߧ@# .Uenpkmz^.g;#^ \"p}c+[ZGgOZV}uzSI5slffVT>q}#*}:qolvʽoj\Zվd<_aHhV߃g*gD~~[!H5בSm[mmg^E6i)~uo/}!v8=X{+n~N{#OFzeO}7XI{miKwH5w⵸3՗FEYTͼ[M,k]mTWVeMIO_O?OШnExdeYXeaԳ2;/o}K۝<7ۍmVmfGe鷬_V[+l8^nSCmuUmu7W5TI$TX[fuё_Uà6j4bc)Xu.$SS鰶7nf}[&FWCwdvF/VĦ˚5j׶ݞ=_X՞莵Xm yynqͫ @q~e}Mwݓk~2.1< ŏǶ=oFEL۳W钜ﭹ[hWpݖd,meUYrYM_WOTS_H:fvU}#e_V-V+܋MceY}W%/zO^ͮceA}m,ٳ?nkFfR*ůˬw}t']VN]Ց~FK36\UtIg,f.z0 ?7ޡ,kzuUֲڬeWKȾr1*~gͣf/g`ChZ[eWowS7_Su-m_Y]ȫs+1v?ߔ~_vll_Y6py-9襁ёFYU?faaI 3,w7=fyŵMVnS9-'U(HVt?9' ;0osZl(۲Sݟ~Ʒٔ2c}:ƴkrZ~N~{zo7Fqfmt+%,v+ǵefM>:-sI~* OWzAsz5딺nM=גe8ͻlg_evX};ޡ5[Mfz_mm~;^uf5?[uֲ 2GWS*nY{q>{72Uٶ`1}V6k_髲i}8>{SIb&K_zmd_|5i/ѕUu[K蟠s^mO4I'ڟoTʩ$ꤗʩ$O^Cг7=G*,A?iz?C잟_ C yK~lb:|W2 [9=-KdڟK?_ٿ߳OWߵl_$O?|Oi|odݳяEoj>~,o=F>}_wnOG?h^lS_7?o? t/`}W?hg3}i*|S=G7Wf7g\~u$smp~NGץ,=?w~_>҉{i} 7-d6w7DoU$gOY||{7?0~8BIM!UAdobe PhotoshopAdobe Photoshop 6.08BIMICC_PROFILEapplmntrRGB XYZ 'acspAPPLnone-appl rXYZ gXYZ4bXYZHwtpt\chadp,rTRCgTRCbTRCdescecprt4,vcgt`0ndin8mmod(XYZ m:XYZ _=XYZ )XYZ 6jsf32 S)w?[curvcurvcurvdesc electr22b2 electr22b2textCopyright Apple Computer Inc., 2000vcgtuuundin8WJ@&HL333333mmod0a"ѶȇAdobed@kc     u!"1A2# QBa$3Rqb%C&4r 5'S6DTsEF7Gc(UVWdte)8fu*9:HIJXYZghijvwxyzm!1"AQ2aqB#Rb3 $Cr4%ScD&5T6Ed' sFtUeuV7)(GWf8vgwHXhx9IYiy*:JZjz ?ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^groMunlބx_'GC$jI\ ,jHWZ}w>s״[ԿWs ?٣yIcVbAѾ/7RV|؀:,[S#xqWGyN9s%63k+9 QUҞz%F:Tp+yםyØMK-4sq)[ r6T*0>[fݴmeCmh\Q"EEaSx>_cz^{{^׺u{{^׺u{{^׺u{{^׺uߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^^[9R_[d)1ԫ\ޢXb^}3)ض~R _ONF ڸ>{x{Qq>p_MV)׆)S,lv.ec]U#ѻ>OwfS+0rklG4WQLG\ 9 džܫmzث`閘\=cwM<1jjj+*msM%ED`54H\}w>q+UI;h$$C6$pUT@'N~XW?vgvfax{.}Pغ}u{{^׺u{{^׺u{{^׺u{{^׺ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^/q6!ma$fh`b/uɟ}(x{OiweN1^@W  W*s6WFwp$NSziH[wJ̑sd%@᥆Ƨ9&0./3hmu߮V6lj^ 6`}t5ݽg(&a:/ۗvo${CabX7N,q!GH~Q9~XYY n-FGq:FyiO\RGB7?&jg m6㮡2Ž';}~Equd‚=#^:gE~fL(uhv;-5~rb>}y G-T\nN_y j]ELJ?x[0_Ko۵ҷi$fs>}H0pۯEUe(׺u{{^׺xV{Komv\<5n?ue]#~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽uߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺLٍǷ?q3l8R|R[< X{ 9r'n潷jN˘-3yӣ td𶽶ZґFQ=WFmhJ6rM7JiE#yZ)=ˏrRGqwt̑ZzVV"CtoSEO x񏷠+q|4HOc䨰 >ކ o159_7;-L4;ckDu6J~$ٺ)>W?rݾDZ@k7x{.!fD[>jzv"Yik0xh~ ?>]] AQ.^uch~y? vw۫Iw,6_[h P:C͐me%ip7$I$nI~>KI= x`pz{ߺ^׽u~{ߺ^׽u~*6ΣvnC UDcr2(cIOr.'todBs"iT >;nJERҩ:POVuwVj ,QTh(ɐDh%K,bQBj e[s{K{{X![OoąP&g`ȴ{-szI]2!#IP'c^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ_ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~$dm_=߶pLW96eH*jcG*ߋ{O>뗸&^۫h $+4\R[?ulW 3UHM:3-z+v˛Ef|)[ĀY5-.166uWƞɹݨ'ñY(44 쇹mm?icJ}O g{x59Drrx  &|/Է־*r?0Yޥ [Tq-«Zmo2i;3[Ccy4Y}&9!IBOe2s_{r5Y-幜}q;BkH[oӒm4y}v`ƇD?!ܻ:s'2 ,%.AT840AEEEE\TO5MDY%y%ݬ-rO pI$5i$fwc¬K$5(b5HaTX=ν{{^׺u{{^׺u{&gn(lM8lE~D)FTTK1@$)u>Nܓ1jR{`q% $ s߶M mjʑL ~w~V re:O],ep@YrOv}–+'n7q_C?z},;Lc~sшqޛh66 ѡYȿ?{m=@3h?y{֜QH_SёڟOhTYʷi%撽):t/ݗkl>6~Ďœr p&sO{& p!)!l֖*J*jz:HD԰OO \C q6yQcacAQ[DHE4h*hFO5̯=$jYf'ԓR>{W]{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ_ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^{3Ϸ!msXX]Knk`Qϰ2{<6}E+Ԩ"q,cR׳\TRI |?(z+ Oņf|ύ(E>u~XݫKWHG j9s܍I%TD#ETAwvre eyk\M yOGl;ʃBmi.Y>dSo6ў %qTrnl 6o)b](cܳs`9nf|2Mh77vOol3MG?@szu$; V{j02Nh?2۝f)eejx'SIW_}MK42!{;w6;+M=f{'% IDž@9|lK5CdP o'ѧg.Y@,1N[Џ{^׺u{{^׺u{{^׺xmS`pyAm" F2%1kEGZqob.^lgʜw%/^4 ;WN_nfs`,@gqx _ >੠x6%&F $,IrkI'Վd Eq*\XXˠ;V'24¯5~ƍJ~o zsoMF1ir9u\ 8q#Q_sNw+e"4:mb0Aco8nyN]r9!Sijrۿz?;eӮ/*i+1\R[Sso2oȦbjq6z7_o9]Mo:ZW흂>Н9Lo뽴&VJ\d5W|Dr`$^ʮN}y }Ec[~U?IJ޵ĊVБmϻe櫿 o"" 1E0E1Fc$XEED@T@=[k vv(* |;I#rrI?i=dU׺u{{^׺u{{^׺u{{^׺u{{^׺u{{^׺ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~${ccph+M?֋ MTrTs/!Os㾺 Ak n+˭ gY"KN,,=°pI([8x_սwln9 &>(͇ݳw>IJ#_?=m_uܓGV8|]S)>ux8 #vF?zs-Gy޹i n4UVWǧV`{ s;~yힵK++T,:Ȭn3{ ,429FD?jH+f.8GNߏy7Hc}%_P'xtMz qۮyQѦ-=*_ˁIӘe;@A29iR,%68vkj{ToɿOos ]7-6Ҫ_Ltܾyl|D]ei|0=ӻhG'v"*6kKceclD#y /Ʈj>U:%M]CsVd ~~_uT1Ru~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽uߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~6e3Xluc0}.>M~\_/}^\{On`۬sSo8ȸq=qfo('cp|ݹZNo[< Uǁ*_]/}ٱJ 5<[XiOTgtfh>sjR~]yGM7^rT$,(Մ?CHSƋ9~&^ 9jK@M葓 viۦely甆n콯F,jrS}%d EhǼoZNȼŷDkCu%<(ѽ2.wݫ!w^`cɄƟc|ltM;z=_;7"BzMbP*[8_3~T(7-LۭJԐL/N*ƃ>yr_5|yJ|:|\$hƋq"(TDPQ@UUQ`{c8ccTP@ 0Afvff%'>^ֺu{{^׺u{{^׺u{{^׺u{{^׺u{{^׺u{{^׺u{{^׺u{{^׺u{{^׺u{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~!Gf7V۸I4UJQakef| GnP`vm369?6]kpH1n-P4-NmcR+K':8ؖT9|-ۓ)/L3(gRy-=^aX^|M1!gTV Ax' GC*m{vs?Ag`$RM0Et}*휽oǔj} |V#e>.Cw@+7G}a?㞼4FG;J/osvbc۔dHxچ;j͟K[r03b:kUWJډ$7&4$nI}~仆Ow~H}$%?ޘz%4w`&apI3_@g~^kؾznb+Q)OmeF~x>U(;w}v4ēzh$FBxK>K94 6;*9m4l?ݏ݊ɹk_?w#'~?.W\ܥNsT@Xb^P#R,FيsF\9Fyl-*-l% -ť*+F(i'A+߼ܕw*M'e/zq?fɕJ fK{0!]ZY3NZۙ}+$AR0!]ZQ!;߼4QV~,qGTc#3#qmdsNbŀcjrPxl]U*҆prV[hہ$*u7m4 ^Mޡ(dYq p3ƢN+s K[Ltٖ|u+WמOb}ܹo;_-4P8"!g Mrjo}O7_ 3AL?`Ea88^;P,u 5zGtSE[ų/"`جmM6 pcUS=89/^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽uߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~6exl3|f Lj\m` 5 ?{#fSۥlvͥ>)M$Έ?6eζm'D#TgEw}冇/~l<o$+Siy =wV`ٛ? 7SSsib"ޗ 9F{mڭB{$ҸuHŒDò}6;}o̜JD }>`?..~ޞDojA\9ѿraRuQ+ϼ$ϽWܯ>kcv{'`Y[ AdDp"$I_m6Q_)vH&$,ij1%I$ܒO$ٙٝؗ&OOCp@:o{^׺:G4Hʈ݈UDU$G 1I N'3*+30 I<=^ }kUGDytѯ?C\寻\"~[߄܈xwaq;vרna/UD|WjRki1Bm%++k#oFUI7 @SM2Q@|%S{yyE 4Ȉ&= ݇P[hbJP ^dSZ T&Avdezp~#7|b}]ۨZ݅rl G+EQW~@GӇ1_pX;1_qX,MSz/ݰt)G{ר4V*y jL%Hi7𧤱~ ӝ2IA_snvM ]u_?E يpu$!{VN旡3ˣ [mٴihs(Fȉ.P_U/{l>uZ&SK9.5|"\PP~mZT. X0ZNl1@ q _H@sV!r$mi_lÇS=:uq^>$=~LzPW׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺIɻϣո~lFT\:O"IS)$ao9~m߽y6ݢKE? jFH1]b޷fڮ.#=>l@!G͈>x/->f7j##l6!r0>Mkw~nܴK][*O/:)[Ops<znH ,X5"b66/-1ߟy+ ͯ.n\@KCiϋ ۭ)Ƴ/ ț?-nC5E#!͚XÚk2 I܏=\Hm 9'9oMոwq-ę5A:mmŮ׷ml?HPL.׺IGY_  hk8W1 &t1ߎ}׺25 GٱI^AEmCFrw5`|/U6J\FAEmC@-oov}BmAa&s_OC'صqngkZ|m kʞQxClV~CrߗQKmKlR6 lcChof̆ Ly<-OT5*o{Rhv pVoc wsM1w乢Z[%gs$>ê%ڄ|?:3oڟ`r%M|dU8bU~UֹG{?i.WIq}6Y ,JPCOU] }v` "hP}ܓyK iP HcA@0:ڷ=Z+kǧbzu{{^׺u{{^׺u{{^׺u{{^׺u{{^׺u{{^׺u{{^׺u{{^׺u{{^׺u{{^׺u{{^׺u{{^׺u{{^׺u{{^׺u{{^׺uߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^n[1͓e1|u8Jj 8@%MTB'{&Sk}۶hE^{'IYP`zWea}\%g-pHѝت ?h^3Rm4Z S‰d3_A!驪c`xoxsaqsV鬃A y:ja5wsDsnh߇Ė$41$o|؊-;v93 5ZgY?)8ߛxseە,lH {1yCvk`f.{Ȼ'5~Q%) oE%k%25\A*ɏIfo;{;)q,䕙zm, K[X^ (@@UҞc,\t}vRchԓnG,np'٦ϲo\E' RM+pƬ:Ouyic G weEk1~އݫOQ}I UPwf&Ԧː_y|1J6Ϸ?[t,λijiJz۽2]N? k8_S#z|g_ܿv}5[~7wGƜ?cI}+؍k͸E^Ud :PSMGzoy^ 4Sw+n+O3 WζEǽwx);kN6r6 }#ya|= mm6faf 5>-˗4ظXGp [oxu{snVF;POsQOH oʜ 7kw-CD?V)2^)mvۃ(ꢖ͏B**=痷_]fh WBxIJ_}r Q"чFh9鍲c# q҉)Ů:HD8yr9'v[bܒ^p| ޢ[uS'=C{< s T&:1M(ۘ,>[m{QA$y`6Nmjۇ6ɏU I''qݷMcqS4Xױ/E{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺX*櫭6hY8Qf io;r/$(gv!U@X>llPӆk.oHT:nUw9WÞ=7n)!fX#x$I$nI~>ĒjOR '{';C/cchV 0lAq%28SfOG7Li%c9PJ\OA>aReoߛ?S64駩lz O`\lDjB?C1R̿4)D=a{w}ŷе؆y>Fc'zmSяPW0b+/3Ipt-}DHY}F~]:A!9]̣pVg+L}ꦂ}/_w]ۋMvJnC,Vp𿞫x!Pg0{ϼ]n`5;J"RjQUUUU OyJ"G@@ G$%ݺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽tۗ0sL~L2Jz 8G6TI(M=2r)m7[4v&˥v6۝v[uݹH՝ت ?Mٿ7:"\Ig۰81r"Ա$q>y!=V/CpGutKX μr>sm಴9cGl꿻Zmk|H0?` 4_56?SvzsՆIf1EJ :ǞΰAM2b)5⦠<ŏE}uy-톄Ŧ5o *QI: ̿x[H9n[ڰ@&l_9<3R ?ܶhs$tCH^*Tq$~~>}=է$RQ"~$$?'|̞$rnͿpLi L`UQQB( ,,T >"D4  :,K1%뗻u{{^׺u{{^׺u{{^׺u{{^׺u{{^׺u{{^׺u{{^׺u{{^׺u{{^׺u{{^׺u{{^׺u{{^׺u{{^׺u{{^׺u{{^׺u{{^׺u{{^׺u{{^׺u{{^׺uߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺM\+ASdq4Ud2UpQQS5MK `ar.xOsMծ߲[n.eHa}^IQGJow+I'R5.~J:#=58ō\#  9T/[{݇͋_7jXzɤ6Z0P#y7^7yƇG|ؾ!:OU;#{>GUEL~6bR8>8ԷՉ<7{.܎pU7`[FE0|8Ե*z.]>^K_6#l\~+7AB;cim3#@F4}Qsah?U]}wu =Vv H!\8 BoA=Ŷ8SQ5%QQG<'p;_+na,l6E S#GMk$ǒIѮVT}ynk٣a8#)j'j$רrw=w]k;;}bh=<t{^׺u{{^׺WWKAKS]]SOECEO5]ee\RRFTTL B܅Un5~Ӎ->3mn~hA]ISQ}t yJ[?5߱{D:Ϸ Ѭ2x0lޏC {Cߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ_ߺ^׽u~{ߺ^׽u~{ߺ^׽ujʈ)iiy*je x!KI,JQb_iolK+{PHʑ(32Ydn%"g bO$+[?k#ޙõdg @bg?O|=ogl^g]KlY6\bL#(t^ ~sTƇ7>`aoqfW31بTÍyXp1Lkƶc{Ͽ;[ɒ4[BXR #W5 #M&懬PKx6M;x92Jb+J\t5o]6 B9y[5,DnTTA?Cww~}&v|&K28RZ-Ǽ'row=~X+O%O_oVQsЕXr2E2pbtueF7:VI Jٶ))SW%V:)M2GKř2JV{ȿ(j1q{W}F(c@:evNwp!jKjhAuY]Uѕ2{u~{ߺT+ D3=Q.b5ww6G%&WpQnfg FW)fH ր8TZh~(3~/n=`-bRƇ!h%T \.]B%'+SUSTM ႢIK[R+%K*ԧU(+f8fZ_Σ+UEvu>څ)~ed\Q"bjf^?W w544OO41WR|uWX+),Z2OBĿR-3m^g+_+v/qyݻEOTd40Ԭ&[8ou$rWy,vVZ:}_G Rbp ifQMUU$sT$4a_{wo-iK n^ަ$Tf8nvc*#{㹿b=ECey2VgW?i۫tꏉ5Ln׺2YO7Nj|I)|p$mMFgrJiU^/77~#_{#WxCQQGꏏx: a:D xMnKݙM!ڿߺOXOS|M7_5:TTjAɦăѴX?mFgW^+TFy+e* :c{? j`~4N D,FT՛zfY={}XE$qBbF"Y{^>-vuHgMUU џ~^_ӱ.wY Uf ẖwVdpmB5R! c}׺1׺u{J?WgW_5 7[q}]E}[SpVRlz`7xw|;cQv 5[{9)?RNoTQ h"TCQW%=JG0 Xuk0^qA`;_޿w=tg:uluuչdVe>u<4SFEy$.H4,u.\ufZΛ-,Pw7Q픊6I |JPs1;uD񥾪O>׺c?o_;a׺GS_;!_=e'~oFj _1 3}!ɷZ,BM*_&2ߗ?'>D쟕S/gvFqaJzmbSA4o\"ec?[u;gw;R8j|Ԩ"E=uV>qjFeRߺK~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽uߺ^׽u~{ߺ^׽u~{ߺ^iߔ}ysnSuFo,z|qV4HԩQu{'ߧbczl_Wtx5 , iRsr%vFSǬ1aĤg겻#;?P㶆ߊYbyr՚i HM oyhvaf,mdK]dRZiyg HB=e)wj6Ju9S%@XBR>*^cw<$JtUlSbkjY6>+cϸrѼ)Kʼh-ֹRneЛW9Y[>]O[ԧMHVzߢӫ"߉eyK?1 ]$HK"4t}Jߟ}c쯱7#mnzno4C-&P|?7s76D#$DoY1ۿ3QQޯƖS)Q#VvܠZz?Ď^*|}*~4|ao7|lۉ3arWFezYt-|OMPRTAS3ľ~{ߺX*x xfdY")KI#R ^{L-_|vݹtuko2dVY$Mip[9$aT RyD+֌M^ 3iqTћ-Wr]_xۚe9f-A!jZhC֕׺u{g$/Iߟ>v9^ʍPw]Sי|­L5qYI^b~{ߺ^׽u~{ߺ^׽u~h PMz}ӹvzyK]q&Go7u5Pl~O%mu f4 HJDbj/e׺rao=}7_v^lna=RJqC,NYdoɿu?-w1?2Idum&&yv_}f21t>BLj{ug(Te|Ǵ8n]naQaݙ嶵L6tl&&|mʸ)ZGOuW׽tn~|_wfoP\nJ'h9=ټfzf<kҙZQ {KTo-A,}~{z'jbXﺉw-2 C)IUOvXOP#N HGٛK"H=׺뭿@6Nي6>Ѷ4dyٌ6R j*WWPJ2ߺC7]ϴwRvFݙ$ܛK&rTS&+7Mx~_M@IX{^FSGvwݟ):DN䊷wljʜT932,q P{*kih!:jyX'UHA{׺[CErOYC[O]U;eWߙWL~yr761!|v6|USŘ40%%F\{^/|8H#ؿ_۞Z9袊in]YD, wU {:[icX81jZjfӋ",~襁%DZMK{t8x&>EDPǨ rK;I$I&ߺSu~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^ߺ^׽u~{ߺ^׽u~݅[_wn$Y :2*3Gs;}EXyA}}3a73h[_Իe|I3EiXc,,BVb+ߢv攂5{b9$=.:U;sflf*RewܹKvF@ @jM (0#~ǼrIq˜;VNx =}$Inf#!<{K #l|I+2fI꿇;z\gػzb2nz[h1/q1Ȅkc3r(IG+2CCOՐZ줈Hao"O~yc;踪[?DO jz޷Nu]% ^8Z[(k*cm%4C›ߺ^׽u$QSì] 3C Dhݰ[1!M)RXJ_Hܘ,FzPSWFINXyiFR=t{{^׺u{{^׺ZrY,L4Xv>x()i%FT>׺8w|;MWY/_f7@=)AVk`[S$b7&> }ES+"{uY׺uqm~go}ouI#s-.Sqv_V_%O*Ȫ*fVV s::J\N[#Qk]lM.IM_ߺC_u{{^N;C?͸5ngwj>׺uso}}u6e®apTԪ6{){{^XR?V?>!6ǽܛS-_zmS͔%G=N՚A-E6Qm=||u~ -]::?Q{F/v\9bq -t >RI]I!0QO,FS'Yۿ+[;({;Gݥ]VP}$FfzZ*F^@_;3ٚl8W}׺fpP^#ESPdT54֯pZ'R@$ߺ^[YjJww'#Co`e$rLP㶞^E%ied!Tb,uYӞ_ UEC'a3PK<Ɇ[%rQfp9Zji5<"u=tm +i%0+WS[*ZӇxmɰ3POۏzold4 +SE0F{utgۛsk;Es A{+EHBqUXJ׺9׺u{{^׺u{\WU>.͍6uN-1<O{Kdv7Du3'_*nMꢬ v6J P(Sch樞Cd؅RGL׺ude~_{^ *A!{[ߺ^׽uNJ*J*"5GR5},sFU#ߺ_~{ߺW9 F>׺[!M{'{{^׺9;/Hmtx}t}ip/퍛N? 7%59\#\׺~{ߺ_C_JWtd_fYj'beڻ=:%3nm2,nu{u :GPnX}uߺ^֗_JW!*޺RS41T9VSCPT=\<,e(^{{^o?I>.ns/cqpBizՙIfKA }0zZ-Vk!M@[\-׺=u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~ߺ^׽u~{ߺAGjw>Xyfy7aqbQ3G F]y؆;ƭe&oL$yE G|2Bfl5@>y}֖Rw:zTiqFnju~ nk70:;(k1B-𐚂4R)C_v^ lHwL%LDߦz$dX#zi\QGa-c]ز3)=Lj,+}nivme8~(zV.:6O{^׺u{{^׺u{{^׺uC?aaC{`vrJώ7Gt 5D͉19QjB1SRİƀu{^׺u{{^׺u>|wmCWw72PVW'&x{e"9ׂ|SKW~|u~JVdquX>ZZ*YRzZJ9骩^9A׺!#̿Cڙwש&4w>ˆ7 (75]&^T邏51- ׺ؿߺ^g_~Yn*%|g|dTR⺷uWTGLK/PBtR]ߺ_ ~l;_G-#O|t–3,bH(^[%<wWZ-a+]C9g^^/~{ߺ_CJ~y-N%4 -Л޲Miٹ+D1R6-)dԕTԴմ%E%e<5TuG==Dk,3F)$n}u#ߺ^׽u~{ߺX*xyc#ygX(Լ#Hb@\^#W0b]XLEoJz7ڍAKR\B- ;0v>᫯RQ4KZtGor|m`_<7~BGK[N s7<ݕq&{j)LtwӐk={{^iIOVYu!2ho׺u~{ߺU?Ϳ'_w~|au~\'+t^oec6uu{{^ z:&*>8~{ߺ[YURoS/hvt]M,WV;5}6&* F9zښuS׺uem2M]G_b8ѳQ@@΢ߡ~-}tB}ズY5WX/DE'*D4K}׺~{^TKE;oss;\gnu\`seFk'wz<~s)L-t>|r8#!]PbʜvK!QLՔ5u)E%e%DMH`#ߺPuamo=S֮ċ'.uu>07WM:pTMӂtߺ_e/}A6->:%KIEi*#lB[GQ5*ٱ6H|&w-b[7guz?5G8@G_(~{ߺ[OO~FOu{CmЭ{{^׺nma?2^ {{^?=߈_?{ߺ_\/x?Itdu~qwHѤ*"(,U||c4>C9m {bei50:oe=sb+-vlc]zSߺD ߺY`jZc yqPaYev &ߺ_Tuc7G_@tNϋWSC*ۿ}K'ƍGdl~?V.d*Y}u2"UUUUEUEPߺ]^׺ d G|h^{{^p_I?ftg;;ߺ_Knq$~׺^^׺u{{^׺u{{^׺u{{^׺u{{^׺ߺ^cw-u[vepؚA먨bdRF`DQ+6G~rO<\0mn3$w &tE @H8ض ߙwv/<٘QG1ztE򻇸~XMt}{IPxѣ"`_&W ghڢf: ~Wrm,cp- 07&6叄ˑ[_"{%o0J?Ԑ HƚF?bwl:6Pv4TffbnlQ?O% ?FB}l5Oi[~Lل$Anw+^O=iH L$K=^y/]VvbOCN.nKdҧOB ׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u-l`>|FO1#wND:*.̓DD;%v40_׺^׺w R ǽH}k"c;Q zu׿?ǁݙ]|\u)(hZZ{/y>ͱ?o7gNV^I/nLE4]D\#n>ц׽u~{ߺ^׽u~{ߺ^ֈ^?sEM"˵ƾ8xՈJV֦F3i+{u{5UuUOM-U4AQMQ,,3*GRX u1jG}QB>^!h0A[*W[XՕ{^N~tV*5~0Ky~L ZA{M ~||jZc yqPaYev &ߺ_oOTꮚZ\vˬ4rXH`biJ"X{^?K_76^y|Z?SN,ԯjlAtk'3X|`n=׺ ^׺x=='To=C(]5>ޕs̊Xrf\t$uY[Sqնv>ۼjml6?6G9FBJkry:ȡn5;{+-|~~(* {n hgcy)5{I{Jj#;!@^ѿ2,o"*'*K@ {Gu{)1?u,O#}t1{^׺uۛO p>׺{^׺2O/?&:[7^Vpymp5t,*!e)ڊ8{zcjM/]]Y|A|:zr " GG>=o\sYiq,uJc}3R֖V]2 kQN$Zgb]4-uo'*|~[^G-%U Kjдn투> k׺'fY g!]eylN%WIW]WU-UmumT$H$1f$}ub˟R|ޛ 56lKOyJ*M+%HnLڹh/@Fh0^/?ͱ=G{yqtv|]Qb!ll*YQdSK'zʅ>lW:iu,vf=g2!$(Chƶ[wt(^׺u{0m@ovuh׺ugFu' OG{u{{^׺u{{^׺u{{^׺u{{^׺u{3tnLpcx{(<q,\rG(`U3KvegD z×9_fᅥc+g Mee3Kv)rIlwmp^[@kZG 1ߺ_XYӀA++A*uot?~׺u{{^׺u{{^׺cv?_| c:S:VΞ+)P{u{{^|4%ؙ,ui魻1v$$I׺~kC K_w@`cc7x2οFר|z憊 j+7Ф TTn t0A j ?}CTU|&š&ocW[KV&2niŽ׺4߂ps_]s.5ޢ"OUcȌJ|OQ^3ou6Qۛ=uqq^GْD+{/ [|ߺ^_ aѴ )IBH$)Z,񝔣yUb XuA"?SmuSscX.wVP9ەO^e׽u~T60@}u׽t7m_+{˭<>%ؽ f"k2|c!⨒cj8Sӿ)d{u'\=~F$Y>XuycUL IC7g"x^vT^[41m[HYN_ 7N" HKxuU]1u^>GaoJi~6S Z-vc*=ZcC30ftƓ/^7F#p6ۙtpTMF?1Sd7$~{^ߺFGo 4[Ȯ 6bvmnj&{?oRhԪG[-_YNep]gͺ52cݿx:)2X3PcRb, {uGwO|]%bl]׋`o)GcjIXD32,ѼdFQ{{^׺ d G|h^{{^p_I?ftg;;ߺ_Knq$~׺^^׺u{{^׺u{{^׺u{{^׺u{{^׺ߛ;0~EU0Ttg X3,Yw񷋍>=()MZ ZC%c .;{04Z]Pkn-AI:u{{^׺u{{^׺u{{^׺u{{^׺uCfŮF'~" Q{D)f|%$$u׽uoWzl+ҏ;MW4-:drY܅$ҪZ!]N}y. vVIkx$2[=tdu~{ߺ^׽u~{ߺ^׽u-/%YCZU QS=]g.#S0b}q([C_/o~{ߺ^sm 6no lnzXKA^a'ˬ>^=u,7+G_cXOx6Gon?;ub׺poL]ߺ_k?xQm ֫?Ϳf[c2=z1.:5fob;,hc2G1&rmI4Tߺ_*~{ߺW9>o]by_g]]#yT.Vj5"j"ܷu NԴs rlLJזZdǽ؉X{I_v/{ >PǕrx&dĦ4QMS0@E>s# 4{ۙḰ;Kkst{sn1NG3Ab)=nC!U1 _~}kl7ďo ,|.(n)/9oPOHLF2WMF{^b袎(a"($qHTE8ߺE@-cz^{{^cK=?u?U?35j~ ׺u{/u0׺uso}}u6j@}j3jd dR~TK~_~{ߺUƿO慰jvnmE{eEA{U_ŰTJl94K*{un?OnhVon=GQG'nbꢊ#J`mk)c ,I)*$Ousߺ^%;X-źs=MOػU%vǑPie8chh'X}׺?w٘˂+ڻCWhn\dRKf1I:K0P]Cu{0m@ovuh׺ugFu' OG{u{{^׺u{{^׺u{{^׺u{{^׺u{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽ut7t_sRM-`q5r/UNX$XRGqmK$+Zx{^׺0{]:'OTӪH /edeRe>76 {O lw'ȭu+>E`J,G׺9׺u{{^׺u{{^׺{N3ȯ>M-𴢺Xz3\dzBVE &b|=u~O}I?}ҰS}uuƬC(;xb1ʘIz,~"y眕`Ău>yrǎECMhp,\s'ߺGߺZqo>5m_Owzqk^"| OO0QOQ[` Ia{GkG,3E d)Q!;Hrc}q)&w׺:׺g;pͫ8|8,,5ج3E>;-T+YT :7*A^}ھ ?j`;;k77Ny?Nj]Q1Ap{^׺teKs=ݧB{U+j:C&HY[{*& Q ^׺šğ>?>;?1LΪZilfsp.tKO?}е %T4<&6evK_LٻK60Zen碭QÚDZ,x#L^)dڒnzشNi $ E-9b+{{~p|1}u׽u&{ދ? v1׺pw~VbDYlFP #>׺=u~{ߺU?Ϳ'_w~|au~\'+t^oec6uu{{^?i㴾,].>?}⪗+zTUblqGEWW%J( v {'huV>ۭۧsraLlѴ:hX*. ~!}u~}*;S6j+>$nfݡf#ѝ,ĻLǷ2x|:N񦕎4oGOQ]<t,PQO2L$R!#u{^L/[G/[{'u{$_0oџ~}-ek^{{{^׺u{{^׺u{{^׺u{{^׺u{{^ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽uG,]gr.3-Lq4z!}Q_OC/#Ou_׺u{'6Iȿ_;v|ewPc}T&W#vKQ ;̒xcTn +ou׽u~{ߺ^׽u~{ߺ^t/Tk,U=U* CiҢdQj^!w-R+Q6=׺ߺ^𙏌8voyW It bCkyJv i_T?u[|ɦ}˓2F8}iC5sRЫ?^{^Go[ZovGh%GcWk>1P8( e.Q.kujϚh@SRDTON( i` 3u[~׺:׺u/OW}lZV{⨚B >O {GkVoGZrwERd;N5v>exv :yl*|-AQ3y.;j܎S)Jj::JxJڹ#E HI[=|g3CC>8{e Renj<`Խm?V)QeP WɔRSIKAMK TFcQc(pj=uߺE@-cz^{{^8555ޗ *͋ݔՑ+ƕTۖ`D`µtJHխA}g4JuF9HÒ*)Mι~?~{ߺ^@?so ߺ_o~{ߺW9 F>׺[!M{'{{^׺uMOpx1傚Ǹ&31 S]=W6V92NMk,{eu~l gzݯ752?h|sTsCvlɇH7Z1v.=9b ?·.#mل)ߠO{^׽u$CP -|鸪RF_7DfW]GA_'*df^tP)b yV KO.~HϿu{{^׺u{{^׺?1GdclzYN6mnr؉87#&HH{p׽u| aK״ElMC COf68TLj[q4F3 @(T4K į!M:ۖ$^ߺ_?\fZ !_(v#:OR\ (e'Q#GZl.xo\67u̿6kmHb@m{{{^;ޫ]ҽpm=+- nn 2tT2J܆R{ˮ؂II&cjx-ӵŖػ֎ cc@dU`@^{^׺9-vwh^/ I9^JqXl`eB׺M1c]qS}'RjnÙ1l]f,9RrG_T/(bv^fflCq9.4XZI-?!Z!ߺFoߺ^@a?@8P>K޾׺c{^׺Ow7z C>>7wRKwD͑H|q%>׺|^߯rjݑ>N R X^{^׺uۛO p>׺{^׺O7W'9m~?~{ߺ^׽uwPQFQ)\g=AUVGʪ w7|K/YߺZG^׺7-EUU0SÍݭMK%.r,[_ |_ w*o\l~׺u--?ߺ^/7vwu[2dᵉHt׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽uߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~h QWon۴;?nwTc1 0&lvrvyR#E^3{{^A1~|[W(sCRBˋ;>tVhjWcfp GIu[wϒ+]n3`Ed̪y3x D찖*BLՑD4,V#{{^׺u{{^׺ct_rgWܻW_蠕+W[2!$ۖݣ u1N#3;3wv%ܓ>׺{C6_ɚ.|d]5u-=i''WgP<<~ O_J{7ƮzH&X4[[v)JܞSTW ću>׺6׺ui^6;KB' qv>Lڝ\gW@ks.׺3|M%_Xtq=u~{ߺ_?ZW.S{j_stN, WNK{^@~{ߺ^gN-uu*n˄I=8bVxZdv[XPh0=>ibH osda{~׺u [|ߺ^ի$ 63\-<(9{ DHf@"˛RE_`/_g|ѹZOOk۝{?{{^׺,P&KHz#i]cS,oAAdy~~|bu~[6 |=XϞ,9Y];} >ę2?ϿuS3pvql>[oߺF_ߺ^׽u~|c_求 jw[&%6y}-%@Ht2\Ou@׽u$ۡ2m6۝+F|Wxhw}%>E0nCkk{u\Dnt)Yheʸ$ܮ^%NH'E-Lb}9׺u--?ߺ^_9cr" =!*D]DYYdDHd @[Gu=[2dᵉHt׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽uߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~78+'1&k[TV[!#_I342,nURGuR7kF|wYN .2Z8*-yf$1n쬒}|Vcj]!ju׽u'c{tK؛!Bfej |NjXxf`{_U^<'e-ÇHaH'J!" UF|LCЁ{{^׺u{{3V~=6.FM:"y$U7cy>f?Er'}$<}M\?ޞ⧊ hwWhT㩥yda(hᨖouߺG~|߸NZwfU[sV̕:̝Xch2uBq$՟v=z6Z4-bQMպu ,%!a:hS{ ZXc*zx!E 85R8P׺{{^ w]RԯPu/B"SWxў[)4RYJ2E`6.\o1)>b|e=-/ul'HHBǏo*{{{^׺'_?ĭhi軛r k!L*1gzzxD3+i5{^v6 :~ak6ٸ6۹0if+0 ]$GYUGu~׺S`kKq+ꎉ1hV\mu&*huڌ|U4RX"eD^Y{f+=Q|&x9ruH"$pq~ߺFߺ^׽tHq6`JfMvqA &'{S,̒qO1V M~׺r{^׺?Sj2σG(VVmC5B{gHuy3Ϣ7`VžŒLZQ=-Ro׺u,o{9Y?nlNl쯘DڍA5̭jm]Vx*e 0^O"x+qBG*੦~DPѷ׽u~5k{|YO]嗧ڝuL6Q;}WE,;7~lQPB0ƑEqHp=uߺZ<7 S|f/ uTrf׳ QZmcdE%j{nՎ]=u׽u$)MWCRE6qbGe2!@kau=/c0mK>1w^p6Z:]ﵥ#gܛ7$"4YGNY[HWB_~{ߺ^ >.mۿ{>_:撠>B/$qųz {+O=\b1TT w|?({F1п 9}OB&]W /J oQH|mN$!U=d~k{zYɻ8ŏUG<ź{tbF?#5K~"sHrIdA"WU8f^oO|Xԝ'bun2An:f$qǒ5$MA(T:xc?u౴xE48V ZX I$HijI>׺q׽t:_|=m=m]˟ R$\-$-VughX5'_4TI4{Ώ91>I|c;ӷakezrYIb[Rifvڛ:RC]W7 [+֝;ym $)LwX,Jj쾥}uZW.zGvJL>ڝqy5w 1>ST. x`ʵtsa.dw^=u~{ߺ^^?_̆^nj?Nn IACO; q¡J5F]+{B奮J^U/~}?5* &| Svl'ZxZ,7[@:o P F.pGJ{6kFߡ40R+f.6W9u{{^G3:_K쟒c~:.9X>:%ٻ޳iҲ|.yJO,jx^{{^kֻ1݋{3o޻W}`;F1sii+qr9Q{??&}G7헇Yǡ'S)n&N!E%XzE׺/~{ߺ^֗𲿜s>u代+i.T5TmNwf)2 ^6E&!gErui^׺u{G)3fޅݼ&T]U36UP`yeajo$)5nAF;(Y*ᩝou}8j-=] ,ZUbc:ͷ2 5 o~-v{.ߛk ݟD:.K3WEGб('=uD?9L?ʯv3K$2[¶ )o x{:(:d׺u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u=/Q>V۵K椩O55:[{kjIOzT6PF 7Z(4}sC#SQI~: '.{+d&jx"2K E k{vvC~m]ɲwffU( iL-J)#X=u#c[yξޘOta**q9 e[QQw)t^> A- |36^v|UI+vM|̂朽k0^K oa%8PhO$slΓ<ƞm6TF'FĪǺD?Is O ndֲ?vKP] vc,@]X3;7TN{=Nv{sbQ2E^G!TȊ H@{^,'|eW[|wݻgfd";7)g ?ܭGseN>? pt9In%Xu\n묆#~_򑠩j 6|rDBuvdԒB]lD[Oŝ؊l& %%kc6v $4OIE JE㆙#|$GFcUDUDE*UTT 8ߺ\u~|Cc|>fS{7Dtf۽=YA|ޝApnY7alMٸgZ}c|]M2-ӺOZ}|rp]4؝'N_oWVlC=tS#I}t l [OOYGwu]%\TSm4ƲQO}~%u#YOUQb6^h6c飤Dt+c"E 1Huu{AEY5 *VKQ--"VUG=+Ur*J @nAu/ *u}7#wnJlcQ=5H6Ğ%,U{^b,M̊dc2omuܽ]%v7EfuZúY\Jv <\5޹JHk?th*Uo)'UvzI!VD*J}Gu~ z-~B爣#;vG*A("*a׺G9Ǟ5TWcn݉%mE-MCTQEBʅx =u8l}~DeEwdw__-;#l˞ `b?jٞ,'lEE#"[7?ʿT>v:6~C1SvkyK3~H0h-,DHx_69^炮x0N[EP[Q:0,/[gd^Ͽucr}Ӿ[uø7y r9ɹrøJjc)QYd*_K4HOuѿb?ux-s}tedfGVGF*+)+)VR,A{^돿u{{^Q=/_h vnf:暚HZdJid"6"M׺>I'rNsji)-wm^8eLbMZ`Y>4r|Dff>S= Ǭ6OyJX#{ V y! $^ܟu(>:$zoW ,۫wO?ǷDLwBJ$1 K1& (ߺW6>w*SUY!d+QvǒSrHA$Ъ t֩iuwin۴=U[cF[OiPcnI6'Vҽ|׺gk?!ڿ=Hvfs[olZ U/3XMbjiͤZgoQBޯ~V S7^X*Nx(i+#vH)Z"r!T{/7O෧׿ѿb?u2,h鳸lhU㦖m8!-hWP\_z \7On:hhn+3MG # &sfvu4JXTUu {8_[ܽ;Qݣ˾p%w[Csc7 FkNԋ:7V9הZƗ02[{&M:6HKQqtYPSJN%HߺJ~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽uߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ@7z|Z{so@tzaaHi({c\j$ w.'#Qf+-+*3>׺&ۖGs5erQ]hi$˦ Q2[N(R5ѩ{˃54mO5/yl7Fj'Z#`OO~!?\>h]մ\xl_ǚz5ߺF"7fK>۷^{b<&Xy)C)T"eAB OuW[񢢆+6^gbjMѶ:k2DN)ԽcnEՈm݃%UUXXzqp ?O~ Ƒ"G$qơ8""*}ߺ\u~{ߺ^;pݵ2wl]ۘs⢒XjC HGFb}׺Fc>**׺u7~ zggHf8Ia7XWHRҕtu$x ^42 2%pѣX. ǿu4>Re&|v \CLz}Iڠޡ֮Vu~o{V7wL=\uX*iPƲE)d . ׺ZA}YOoϠm(yrU\ r~]O7oߺJj15T/h?O4c%{^XU@UUQeUQ`~׺u{\ۻ -ˀ:jbrE*VA|ETr$P$}׺ GÕfobYY"%>:uQKuRIYK}׺w^eaIV Un ƤzF_ }u+u7~׿Xs~{u7~&oIXaSg C ~eYY Pָ>׺k|a,$3`n`fJxe ,5CRGZFJF$,"3>kkt3aݿaRAIJ,(3dWgbĒI>׺s׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ_ߺ^׽u~{ߺ^׽u~{ߺEC_zΟ^wfM_o9ls1A-Ymznp,2,+'k|!Eҕ8=fL{O DYl<+a{_;߸=ٛנ(rY.l>^[SC\ltБG-KH'{]A!$~}tpEM/m>)rm>mۋ7UYj=S)gd5F>k2^);*; =]UרLTm}-<=%&֮]TuRHtwU_{t~|ٽs۽s]C޻+%{_%]aۂo0ziU (u]V_>3_?Xꌅܻ'*2tyzVI>Yq3T()^XX$Fou?O˼v{o7&M ל]Byw۔Q^0P9|_ľ] 3~}8}۵nҏju7S-UUVPJ=׺[G;vif;e婳[{7DQjfaU}4THfH}׺Yn}Ʉٻkp͐-7Rh,nAQd%)eIcGT~UF׺,^}]7|WSʤ~8iU9-EŝOV4r:j:^R?wm{w+3dWVcwWsEw8\=u{*UmX7t{9INLXP3u8~)?[_&7>7~om٘Ǽ{n[wv:IFGRDQoWa|Vgq 2l?Se7\ [9῟=>׺>?-yF'vi|$;Ghn|'un,~wprD/*{ Y^5>A^?'>/uW.b6Vv^xߛafc6v裒UƫF3F{WW_/7_~fN,+F{tO=EdNv- $9jSYB/'CȽ{&6Kc+.!;in:h#aY9 )^x.Sg2.3x(Yo#.+7A&?rbJJ54zԫecy}ﹺ/=[gmVۗ=mepMxm C4#-DRNH^}tYWo'ʹzS#Any2ULP`vPf7^IGI4cI)t^~7Ow.~Om~ޛKsS;'w`;&{p`jOUMK,񤮌J/_#?Mϴ6gg7>n}qB;i:zxb)ӼN {ʏ3: ?;+=I2Y>#ya3:χQ~a34Pdi6FXu]= NwsWm|8nYvm.mMW&?!o^ᱩrz^ vyq#%J{ueRcOW-9ݽZh{jxg7Nއ'S6zJX>&c2׺an/ݛf&lޚ:|=hNY(fUӈo~~{ߺDEr^=ɿuۓgo%1]]4װ}t'.ߝ[+~Vun6pzMC-nbd Z*vDn=twU_{t~|ٽs۽s]C޻+%{_%]aۂo0ziU (uf^{wmZZ&7vnﺜ>qfaVuS5|[rPBQ[u?ݟ+vn*s|wv=|](f52K6Q9/"b=׺0_0~rN t6Jl*{SgŜ j'kl퟇{ud ,n> @[ߺAKu|ڽvM y]ɴ_nv]J,R>]NWn[W d(*((d׺g7'~ QmZ?>tw'W>NO.V&ڕKSZ*WHi ^q`9-{nvKhp-KۻztTeip5/܊r3*D +) {;?C#z>|^+d~l]n!Cg*ia,^._ߩ7JTuǧO?z6=ÿ73CiI8LSaP`dHX-ÐE׺d2i>b|=#UڰMLFoܳ;JqnT Yb".cGBg~ru}Gt|S\Op.lۆl5{Gb `2j:<+ L&X{u]䵌V`r=I_&"3*1`ԕTӽU5TrC,i$n=*(:jo>cqj Zl`fv8o1CrVSbUyGui9wGϑG/ ڝSC9Iuf+gd3jȍm%.dR96ӷn3?񛩾c=>4vGj[5ji8MW!XQ)d)#"7H&6Iy{?7{lm݃6}m&q`S%Z 2?O0{/~mnvՇ/I&Ux&_bl|&;BVk%O/3'5{t%ke7~M;a`n_:xcS ڻ;cn\݃#W4 :Z:zbDh׺~Wf5ӟ*6^'v]ۺdޢ=Wߛ O͡]bt͸'"i^E̳D|kQ:]&Otvf[7Ak6=FܴrQS%E|,gX.Ԏd? ~G|߈])ߛ~[~E;ruIuI& u)?ȯ7K|;fήxg2O4s{Cm9 UFAc{͹CɛfMô77΍{W9{6ṷG_K$lѻ>׺34c~W|H'fQ윟s.%ns!w<͞\{EPuC~^"8'z^ ˍ};@=CnJsA0x\lX>)t {^R_ SaO{˴;;rcpmTn=͖ÌR7OhD$e{_gFU0x]WOs72Taڷkl%&eQP]mU>׺|ڿw̯?ɽWcvOh l_?79}/ӷ_?iUXSnn]k2]%&ٸjV.ݭBS@WE{tuV]۽uenMF]r=E( zLu'L !8qSmMgi5.;_dЦ"f̊ɻ76KE1{_A~dv4|=ۻ=N MvFl7v:ͱxx; *QP ՠ{^׺u{{^׺u{{^׺u{{^׺u{{^ߺ^׽u~{ߺ^׽u~{ߺ_9[o/7߂[r\dwInӹ;ACMVWhKjd}{^/ֽͥujظ {^/m_vTP _cKVD+M=o_$uO=OEC/l>rdŕ7IP|RS׺IMn%ڲ8*y%2cv瞚 T<+]++ .^꡾~. )֛5DŲ*zd(yaqB G*}_ 4D&(ߺWg?h]~nwU=QdXl.ڊ,sX  j4KE}TE eO{w#l͛#/vw>1ͳw&UOߏxû0],lTNi+g^{Ef'lc2: 󗶶٥papu=/vc(T㥗rnaW!{u/%q^)񗽛yOG_a⩫O;oqN=[Mhwa䊥 q=׺L> SWK<"r j,}dRG׺>Un|QO~D7?Wߋ?u??{'Vٞ-_F{ܩXٽCvTQ’ ٻ TSB^k?H/t'smɱ_&6MSKK2SٹIj)x*^)?_k䷏8tm/ס:){_l|Un,o,\ &.FBl An 2 ][[+ [zFwܯ=3c-WKYWAMbi >?{O_+KGu7)>j!ؾ͔>Rɵ|GX&diZ,Er=cRPGɘT[{]s[龎3쏅bQ)&ۏK!-rP5 uq38G hϺW_#:⦧ɑꟗ{)i_|uVncx \0y$Yf(Mмm>Q"_w*G~ߺ_=\fo.wۇ%Y=K6;PKm=vcǦxo;FG}1X {cc@ؼ=VPy{up*~oO6o3.8^kxv=+Oڙ[r8{CxQUZS>iW{ݪ~1Q–>FU|nLŨ;ӭ_qAQj͖:T8gە x>_ߺ[ „(~7Pjn`95;<Ի%9HyeRt6֚=sNGEDoX?!?mmVyiѹv~`0GbW{n;;Y7ȨM1n Ոų.X_ek6K1qC2Ҡ$-]3Q_O˖.[n]۽%[Xv'Sb#>vxz.ITOOP k. :=c ~͢7]uuJ:Lkocdo iI"Oջ?j1/G~jqK-g/P$z~q6wFj3t8an2LE3 +IFm-,Bݝ͎9X0i՚ *5K y^a/6C1ݳMUGE3>Aw,Z*Q*)u`?O2{vؿ&evU6qH)9EqgSKև{rtp|ݫܻu~j3t{|z|%(1txI$7ۻJni|zk0שּ=`4{=؊l6Z(RQ媱u5) dE J ^JQ 7+ooyʼFj |}>e.UTI5viVgCVB+'[v~߅`t8gslPU 6(U׺,ΧBM?>ֹ=V~}׹Z*s{s::igYnۯͣ3LZz Of !!*u1ͷ]2&GnK+>_0{!h3vWv[^'8]ܝ/xd>U@au*oƟ8g~7:g/݋[wmnܽؔy|,ۛ'K<S+u@Iϳo SeN7:gvR`q*{Vf{#׺֟3_ ϑlE22L3U5]-9_-";!&BTbu!q -Np}n]ײm))g^ˢōr$0}׺.|^^ݑ'KtwoރXu<&#Cf|)uV{+ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ_ߺ^׽u~{ߺ^׽u~{ߺ_:_[ܰ&v~K{ciQl c'iԷ)' |Jjɣ{ewa ~_YS 9c Up@,$"{ eO{v>8o#?ly jmun=Rkk3ZG?/_uel͵agsؚv+jUIYA՝UyjuUr%[R[)X/ܿu.ue=r vKMhx۶?bwRҹ$&]o"u}N zֳdFfc+l?]Fx⪮)+wS2Ң+OM_3i|Pwtlvu{ofMrq45y,oJjZa Χ ^f?}2~ٕGJ_&7C#(I3lUK*&%ȗ^ZͥO]mM{"2.=9`3Y3 [3(iH@ߺ[5O.~a@޿}7{?kwiRX/v+E.K%mc*k+0E qp$k#{u/N0.[_.owv?;%JވO Y[ #`8:L}EcL%Ǻ[9‰oI N5]پ?/y~f7adwvgjgpWgTV^ezSf>@ߺAo^G,J{?=˓ /N3P,KA͵S{d3x[=>1 7R$J%[{??&?O=jM=[lH$eEe5n[.1*-UTTj/^oʺ>LO$<=uIo+˷=GU :[un*wK'6+6O-Dm<&Ǻ_Z~|q{WqznCoڲg7^,ELԵXyY co =׺Q kc>[|_ٻL}Lݿ#4GLzhav#zA0>::czqie{a/)AcWy`+6[vd#. j(hU+*"hET*+{ug}_ot9L}_u ?w_nMWY <#GҨ5cߺZof'붟mv+'ϮK#voFBhmO$fw3a_IIfܛ[1unVbnw-[ ]6o+:ޫHH[)>PL'ƿa[y|r)qg:/!pViCpU綄Իoe66/!K=5MXMT$N=׺/ǤO};ho^[;S){C1:Hgz{dYiqX7ͯf3$ՂDմMS{up*~6'sŸz>!&tc={Q6>#Tw+ud*twhifkS,q{^+QŸϲZOg|]~r=-$rd잮Kw[0ͷ)<:} p$HG =>[.D?KO?g￿{k/t`@{d—6n@6ODmǮvX>ٰ,f0;*(b<^$v5:+&G]K{!vGxw7fϫVx&j)y%f Kz{p.mh$9>5&ܛ/K7Ma$gfe*Ҫ L,[2-Fikkj鰻˿*'X`<̴T1-(S5DmNI^NG]nˬfs}uD{:TQ4G(`l#^uVzm3S =f.;I#ɑjZT^9]YGAPO$%u@Q}~M#6?yeu7mV9<ݱ.[Mؗ{c2;K|4lT;"ocG-VGHwvݔTHI걘錕XjtY& ;Ⰼn\H QJTmZ|nxPS%PƎx2/_To~|?Wt.?1|1-ʛwQdt2=;g&,š3X Y>SlMA&/tlߴ&2_; 9#o_~=!3_$+q{^[GT {X䯑>;׺?/37;iY4OUWcmQ,FhEh{<7}ռ쯒u7Ch Kp2'}'6ƶe^ӻH[ڨ_@WWaSLOԍ oL>Ŀ5L~$ Ek3OV>?KWy^5?#?umE4/ָW޿';%BU[(;nciiJn!UjZ8 K^{{ֿ)ҿl|@\g xtzO4'rW=A/.^꨿#)Y{v<Q}ߙn躳jV >mא>~وmB ai+ =׺){^׺u{{^׺u{{^׺u{{^׺u{{^ߺ^׽u~{ߺ^׽u~{ߺ@_oYGS鮻!O]cq8*if;x(@8ou7yo/]Aљ]OiQQn6 UBq`ૅf'E9,}׺RS?qrj O-̹p~G_~-n>8|h~N)7~WtҮFLft[N9uFH׺i>W|aQo>E.={}]q&.mU4ompdLiF{_!&i;~ݶ0ivNۛ+ɑˮ7EVO!<fI>׺?d=>LXhp"BLC&%H>u].O>Sd>+mgUEmwvuߗ*욚[QOdlk1挘O׺to-z.)p]G;i܋pAܱbi)-"ՒZuPkFQ~:|a5'ЙߋnVl g5fSIYGMXL}tZ&+!}𧠻3-M&|f6M%.{rFOWWGO pcicu.{~޵_6X^ڛkHiqx-bqF6^9n\.cnn mg1y &o*\FVj 6PQQKA^Cch~ |dr.Nk+ooZ ۓ.B Xk&.t(a~|0ۿ iV~0t#{ʃ``)66To?vHd֓{Au~Q.5;{5Owڔۻz:J׊MMWˌ|Tgwm=)>BJ$J[Cjgfwkm?,?wm'X Gjb*>|BnZ,|%@pJ97 o4F骨}ؘ*^Uڪъq5sOSU;3X=L!@η>׺Go ;+6MǮc}s;``2}urvmSHUe/ud(Ւ*q#_{߬:W`mnM筶>.<&CK;k7 *J4g`PXϿu7AI*)t:|e7WwOnen(%&B]5$.V׺O߈0|_N{ٞ8-a)c2i TI5qqktoYFf=cxL?e.CU]PŌY)(k Ibu!Օ^= ]A?uuZ!W{nc&2+:cX롒\F{2jG9QA7ſ<.̮s FwTnWpU³GB_h">z||:OȼSqf]qZd毬PɑmU Iw>JY36ӇO >"f=tMї́ "r8zJi+( #rU_Ͽu^PO+}o-=~_`cRvft/h>rUPUIX̊HՁͷvv-]q8;sC᱐R8e =4 1"(Pu{v'kݟvam߲7 pjfSR*-/n}aej`6ˤykb]>RkVRO%׺)"|0wۛa6_x0_YT)*dWV~O>׺9gn|սWv~&#%0lf:d(R`dXó1^3a;7?nwG/]ҪvSpnYCQ+㠧Fv%bTpum;[t`L퉔7:C+0i29rX]5#b+"ܹ 0zO'w_m95_mWǔ гmN% M9HjPu~8'Nt[rs3rRs49El-_sSO$+[C-=PY#xuou? :MA8WDG&wlIns* sjKVԔԽ=+O+DeL7+9/];=[ڮsofջOqT7+L٭frek{G> Vύ=3UEk:b`mF_>5.͔hKw#~{V-ݧםԻgƌYvfvu6ӤMWqc֓/Q9ٱ*R.^uOv[wm/>ޝۻ;hWc[r-׻_p6h撉k0xQA$t"{^5w??#k~Lǜnh֧vn Fob ސC^l|u+{}u^w9L'WWg d;'#R{NƏnɅ^u&ӥ]kfߕsu3z糱YGmHո%#\jGB7`t>~4uۥ0{}YZ9i#fi#%4w#ߺALʣlMՔ]/u;2}A{Ed'h6$;'04T*%6%c[{t˻e'Zt/`M3%dQ_eu:ֶRKCua}8ҋ <힑w@UV{tlL_v=fܩ;fLf&l&S4H*jc[+{]7wVЛrp{ bt.w/n+[3kFG6x=^)ػO;L;S!=E/E+2ؓ{=QEw_g;{#a`vTtcp籴pWd[KYtR{~;7'+o]U={1Y+%o 䢣#S6孝frgv%Ou#_ >NWݻk6q^V]2y) 'ߺCwt7L|뼷QXl V*3 ANkp8ge&9cV~>||M_`ѓ&t\]{Ӭk7yj4AW\Mꭉٵ-|ZlԸzJf6RY.#i܏}t[{ƎYCvO=7u-&.1W]Q:U݉ģ=tfCHw_Pd~?T>?mbr}Sv31q;-L|j=8z`&@ -׺.3_n}? 8u/jn]W Skg?fۙ)0ST׺=׺u{{^׺u{{^׺u{{^׺u{{^׺ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~0n̼ s5N>q5G7OBi G?s)r':Uym7qC*K2 КsўclQ1:"TRVw>]]]]]]]]]6F}=|y\\JӯqXjZȪ=?M>~e}&(+N5o!i&OX6Ӱ~-` 0:"vϥh<%v,$Oyy6e?~ov+bL?v*64ަ&YgPWwٗxF7c'H;mZ<:GV[] Y7)"E4D7R>ˮmnlk{y"RUr*)!GLo͏ jE,NG"1WGF  y{uWMC!9 $ȁ_j&xYD!8fiX$qEU$*I&ޟdXI@$ zbn,N?R"RzsfwX+Ll%8JPgFB i7}xɵ\NIڊ҇֝X]ڳKsZR^nz4y 65OSS$FIq6yZmW2kFHT%ݬLR[Ǒ`'d7v=WselaJɽ['s]G@E"@*T hyi!lO>~]DH{m&}\0 ?=-U5m<5tUUTƓSRE<ԒeRTOKU5U4Tn L5G4%ZHYXVfQ4;- B"F醽FekB -A95^TcNݢ9hjxjȤU$&Gup@* _ten![}Kr*bvR) >vcY`Ym&50Léuu;ǭ{nj/Ѥn&M 7piuinm!fDb83ӌ5Ui||}uE%x|i { M A)@MuR.c._|{@28UU5/oѺ/}6v3Y>Au lJMebT0}[n}F\aʭ"׿Wv]M.fv_`)떋mﭳXխ+_SU37z|55DSSi&/ckc}/minw #j']KTNtUGd5h\yJX, PIIҦ'O l?oW97_l_k~Vo xcnBSfoJTUBԡp G[>كenUiU;Ê)0ry9 ncw]3F{[KR8hp^[>[[`OKfs g^[YLk)3X̅%~&uj-AǰՅuZ'FI`"-xfgex`AR=A#/@m 0[ws{8%zg6/?O#7NXl;/KO%N2*#ye5cX:6]^XHZK jEd$TT^ӧ)2iPAE`t__ya.m=+ u_w7/4TMsGݧs~=n۾bĖ/2Jr@:ϠɜŻms[ijpx }j>97 '74miZ:e>__(;|읝Ғ U-^}M&Xa+vVԬ?)4^:գPV-Ϸ\Omﷻ趑pi"[tqU>)Z 쟸͛iО/A·TqP3½l[c3Pi0ƗTP Zd8`HGun1x׻]0֚7E*pqKGum3h6zp ym T48նj X(賘ʪQx*B}}z.v^,H?hugQd:ױ6/aPR:W]nvQHQSd!٢`0$ڭ&ۚ9kpnURkvayMp1"iR@ڷym mT9ն+iYsZ]Vjy꣖2\}cޮKmH,R2,^YO2%xj V631ӽV)3SSJHhjYefXV*N G]^XHZK jEd$TT^ӭ4S)heWZҠ+鎙[&ii7Ղx$xgmÈhfIZrFC),}N_ߥD=`" BЂ2{d]k~6U=e].۵4J3xɩcPdԴt,.T3p9ܛ. .tHHE18.@ Ո4V[FWu!xW8N7rmarh%Wܥ wF=G/-`lݺxu.55S׫Gqo6tzqOݵ2IC{'[ vUHy)dh.}soq5sgEp*Y@"zn޽׽k1ػfD407m\t(RG]E.ڭyn˖yzqQS8bG`0sN,6ۅ0D?k:ͳw\W޾ޛK}`;7q>+ͤ?ɡӮ7˼7b_  +UV|w{ ȧuuH5VٔURVIWM#QKUSA2/KVE"0Vl;G45ª H<!hAYlъ=A,ʽKmJ|.e?4bEO,TJQ\훽tEm64H FYu4Z (bHo f۵ %xd#c~观' $O!E&#b?I&F\xmHmA q,>U:[m5Iڟ?`;>yܘ+8VHf{3qhaCm#[V_}ܶGunk& 2WܶDJ #2oq=۹KS<{_*Gvc -1@0R4*iZl7bw65+ĜiQZVCP3ؕ4۫~Ite6nWgۛ,IRYKkU{qrO3{̛-+m+so=Z4I0I)YI^6(l,.w D2PT3CЍ_![U;Ss?ɔ~vEkZ[j}jLs]b٬Q( i wC܏nOwݞn%EȜ?~|ݙ]Y'}u>K}EO1Ƭ`h(V!!$uWۿgW|`ܛ~>]’DHd_htjrqҏk}yr6ǷVuVth6˟v_t{yerEjGП޻/ٵ[Mkk"U{xOK?}NʿKrQ[{56{yIk8OWepxiA˲sg1m%2 ](ϐ&iνUٽZygmVZmvfUrx/ QxPl>X/GVb`q=>NP/2mmKdd}}{0QQG|B;i)k {}>}9 1Y8Si5ř~+Yan'FoT쾩gٓYҤEa>Mv_ܙmwwVT&Qcfd&"z'y)穒 d]4 ujss}=6nw.qyXO5̱]2Ȳ@P [L=K~Bϖ-n;9v)#HթT9$UTTj%|oQ.S|=͵iLx)i'ڑ&[ \ہ_pd'cҊ4?ܜvOx66^Z. є0;rɠC" FG 7laxp凰N]xw G<UGVN4 q' a粛+=UOm[hn}K-UG)Ք4ĭ>>$:P*}Bq孾[=ghPQs*r2lSoяY,l)W>n P31H@@%A\ݮVG7?q9;-$[F˪yRҍ$jF₧<:+rվŴBUrR TyXR`9=>BTy互䫠U>!.!xMջgY|ӓ}RvOzoN%vߪE x |ZPGABY{5{63x,F %Q, e)%moKet!mzfHRl}ݟȏV>ʎ_TTyol Vj]Y$U{k'k&oDT#U ڮYOwycm>cy.bZʲPZt/kVV\ɸo>VٸGu沽T,N{kum~_vLL7~OZ1J}Hsmx!񿥄*I=w陔!/y7۷ͷ㗤vΨI*ĕ@pU)Z-kA{`{[|f>lfn_eQWSLuMm9}h=gYv뭊őƬ#ʺ1ynaA" Wװ0 ?~X_zkr+Or秏C2۞BY<0LiUmT=ߏ ՟5Sw s,?Wf "HKYf Kc]}l[kDBxM#-`0mo_~gw&;ȥ^۟5b٩5:`QQ2\{lmrL!XnpLsy.אMKpD\Pi}P'ߟ +ؘ~:̖;qd2S.4cU"ɄDkt_ϼwNZ d HRbXy)*j洦`J}wv7l_rrRMxytl>?]qډ_߲sJsv6eXij1;G$nAW\5PXP @5= 벛m-n+%mCQP⢠cAwNoj_u6,MTRsWSHȦ(A }^g9}nVMh.#"HTP6u`PVWrnfUdj&URZAJ7﯂ʇ`ek.]u+nL9\=ژyzɪ%!PT=C,ӬJ>}v=ϼ\bmXL$q;""Rk=;ZKm,pkR$&o6)7Fq,Fqx޽߻jH%2IQ>SwRLQȓ)!,$O˼x?onon`P--@R {`Fp)APyR)k4{bn7 띵#v/Lf+iI~drڮ5$rurg-+;mg"WVhh$a@^۶V6}+v#˅da (_[[>=ߴ6Gż~O&+uo= N,5a[ Z$V@P}}el- 헓PAQ$V*CĩB/iXv7FldK#SK8` Uw<ʝ׸{Ftu7olo)N{g. %VBL#cX8<x#ya)sasg\_24HX!_uROgeo3 ?5u2͈]͎8zg}N/ >:k ?2SSXV?s㏜vNf#KP$(F5T=U16Y==ryugfگ61UY#HɊFt*cKy|Nν ۲*DEB6J#QMMkA!$s'?"NlgB(B3 f _ao9x6M ?W^}wl׸sN>Mbof:"TVdp)Ȍϫ/Dc`U{x_u9 +yz 'q$2x_U%sP% "7~FzhMԗ0hARUMkb)on#LWo\[Ouo6N[weN:6NܝW+8.yMSEK].K `2rtyv|]b8,7RO!dV@YB aJK+>i嫽ɔmn)aDk23ZPb~~{er[.wwVϾ͝]ޘ<>Ū=U aEY _M t#yw{Eܬm,FUR}5ą%$!O^7>lճ򔶲ܽ&2Ea$WCSI:_&*Vz'#*~ߙ {nX9d\+7lz7KDsJVK8 /o926SMM)}e}NKM\WBfPȞJt:~R0 ˉ9JIV,`uԼ-ب4>7Q$F%={7{XmdZސtKNO?=ޛ'Gܿ Hn')SW]ka`)qxH KCJ6J;r\M>G([~=ͯ-5T,fR h !: ssyx9/bJCDVp>kj5qѼ):[qgtۂoEn=K0厣1c䨭HD,+rޫܵ[O3\\MqdFLڣR"rqmi [uGUʏBn!-JNql)E.yMr4"4սMj`.(aO-_uiNJpSC*:3zEnf>">Duk??_uߟ,;g]}ݧ{-Iv,MVhQU'[*x[2w,[͛_Og8_Io6wf4V5Ե'IR!e|ӸIlv˞^ٟYP3h}zOo;v]ߗK/Ng?rՓ§?E޽H@ԋL_y?3z7o Ÿߟ3eܷnvQ_[KhjQCHcy_]31HEEwi*X 쑉%>MV>a{5|yWmvN3A\M S[nW}wY#fjN>>WpMF:ɦKmV67 pzlyn6պ? k*h)<ڍbmU LRs!{}L ;>RZ)E`.֥> ҽP:HV#S}uʼn}UfbJ]-`-czco$ir9Ҡ}tuńK}hMxkU2~ڣ OtrWZ1c6'vd+$Ty:Z>ݕ5gQO{Y}k<֊+JnNO^H{J戰\>GyD;G2Nll>Zrbzjnȴ8.e&V~UtUgq4e;m~wnS彖[#FX$ rK<7>-ïtDHjKyMpepXՈ.#Q5†]G%Kt'65tb5Meb\4%6J)*|WֈgC7z9?~vvD_ޖL^[9BKH-qt]ӑylo P*hľZ҄Ua~fvu_FcY r~XM=m?_cU;iߏens.ڛ4uc 50d 4KeP߿go\˜ofn($ Y^ښu^e|[ 3T8( sɾwE~ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~"'e+tgO9vY?~<+_,'Z"]h !noD}UEݩp?\$;5|u]Ԥޙ&?w?` e4\eBRmӎ"'5bRPߏwwӗx{Ag$>**j эH2}c* IC Sq؟]呱{3}I؝Ͻ7&63jmc˝#8䒪ުS2%4ynz`^_9yM8{?M e=rO/lܯo2Q#*Ƨ[LoN/ʭOK?|M-|fҰixoh)-L6[,@ G ꡂ9k†y2hYE^k-Eu5+o>wM4i;NYKۻbj)ƈ%|vEBDEcg2[9lb)aPPJC?<^ZqICqDnh3wTd^ЛZ.hfS7P[wCCd{~O]4>^&7=AⒶmLL!iqC@Iw /ݮkmmEhBh&n|5YF5c-ķ<"7if25hcJWbOTo7{Ogzgz}{2%͟l?5h3\o`{a;/ɭ59)Ѥo, )bOS5<foǾ{u67[l#A<6pxOi߬gܹә,gk(m42:/݁عʪA=~;7*ClCl?mi TpT(!GY۹^k]6-&9+wJҽ5"pqkY. ^(#ĺ U. ]t)r?_?RoVSU]& y~? 'ƋwLm^ػjN)6.)ι:x׸l{|%Vs[]=E'ԁv5[WÔb2[tK.GyԹ֘߉RdbY]$e6&ڹ CUtrm[J a7J=>ib>ڤq$sOξ?P5ur|/0aCMt64 :5d:;^2^QtNi$xdV&v 4RK&kC 80/=9L;{jtu0a"%E1e:Qk`i1cgH~O#߱lm)ϟ-"Nɜj&JK-y8duI]WL Svt?j $;m܄$%>fMFot9h^% C  5/[:P£  1JŭeLᱝQ\n %J"xQHZf_̪Vξޏv{ߺ{_YF/I~}v7>߅W~n=w69O3;ciXlfM1:ϜnC9qڥ)=GTG$ЂOY 0;ѽ6mpErNqԫC@fo%,}:*8ҾoeCw|ٷ7NzL~lSɗu۔8 %l 8i.ux6ojwDzfco s |`55-v;ؓ? ^aiV ?r.rtne>qs&wkht?={\n@b~T r/\c::o/K'TC2-\5bf4CVh%"n+^k=[Sa5+C"{!oA .hlc?w-7Gj@캾 _&B^j%z$Nݘ>ި)Y_t>ZHP@"|u7:?Z/q=Gg1Fstw35@.V/ լFNvؗtF@XB b2ڀ41q|I/:/g5sڽ)iNؽ4f`6bGƁ QΕ$j^;vw[FIa!VZ$x$SX)dyzsփṲ+.g"D}ԦC(*Um}ǁbgr<[;+55UvJY^z[T5U/o}_uRh勏lX %&1Z\&I3 (?4mMk[L(Y U>=e_C_[6Wdm<*Z}kQv,*ŮXvϨhY/Lnt֋ g͌vg&l z|,³pwN;K*9vAm%Q²V۪c7s=ĻcvX:r:wUioлm \ˍ-{'F枃6RѨE?26o}9"H=ĽKmɭcHq$ md[t7Ii~^Yڴ Hj2(|p.;w?~Fw;_omgR]/54k娓QӨ\{Ÿq}W܅ݿ0m&y(tVa`@3Z=K(o^6,t'P`?iP :+ѵwh7]Owb5]oOܛv˸ p;f,^nLw۴RNJ܍rG2mf5[u8WŜ+Jz͆}xK%a&4JI: (->(s6>,׳u;. IܟmmG|KWVj~ԉ\HE{-˞[mϴfv;uྷ-IErkuyzugFOk[ӱuR=;IpUW8oiF{fk}>7O~}aG3!Na6O?i̿ô&j(aUP"#qA ÆdyY5|aͧW{>ۼ4~vmr0,1>fXтuv[Pk -޾eX}u P__vO/>E|?*=.҇[6w7^=9}lj겓˸(`g GeKX>{W܏y4d a/d-V0!}m0/(u NK9o˝xwy{3/BXRZ8(qwi|x2}*mfO66>ZO%*@&[IbKz)G;qO*5q>#_pa5G6F3\[y: H T ȸYo>q7#u%j.0xI<9tUդ^]|i_ZN[ 8 ŢO uj٥zoo;v]7ߗK/Ng?rՓ§?E޽H@ԋL_y?3z7o Ÿߟ3eܷnvQ_[Khj\2~HO^].-ia5'#i'%3jBM-,oo}-dGJr$ta}FMjj(3^+ ƚdzPy/e,O3vƟO:~<{G;}Ǽa}?0KRr޷/?vnKSE_I麹kî|Z;g?pm}|">ftV8pW=+pz4!k$YG).mw"|}@zV!dVUO9vaƥ60EO>6R28uaѿٚ;s:W|ׇV%"?wh9_ٿkԃwht]W',WWQAL6X~>:ٻp|gB%{3K9}Wa.h~HP[Fs[o]^_H|&px6[j6WR$c湛~o2RtLSZ3_xOXޢU~aVl'Wp՟?`o]iղLul yFϱv'J - (}ys>{]n۷5'xыxTˬ_tu]-+]Tcj:iq/β{^ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~"'e+tgO9vY?~<+_,'Z"]h !noD}UEݩp?\$nٯX_$YNwoPfȺ+eR_VqU$էIs8}S͘..FO#Y}wb)+fU(]ҟ0NWѣM0_|>rzjSlRpU0.w v%QJQJZ}6w!{I#DZ{[[hJ1Oi^HRgD  FMUJjsה9{z}^0M#Ի%UGrA$4L=䱾`3o9Xi3uZy#:߽w2i0s/JyQ@ N9}qM *-/-$"B@OA&nX{3QWXZ|9ݓ϶{"hn,??(toF-qෲ_"g[Jo1O?/.ob)$_y!rV%d7/K?x}{MJkI{$.fTnbijpSTDSSͼsA<2+G,2YXe$oyԒC%NAۊ$EA# «zx\*zf>T{C$#fm[oj/)('ɿh/rb`[vm\ v$JgL`ք UM1w;r1{+Kk#5V:P}Y7=;kRܿ>~O~?oJVotT Oývv{>ۚ>,nlW(e8eBuj_ox_܏y/u|,Xf78̄z7\m Zwfڹ=tMK)JY9fxFꉿoۿ}v?/"_miB_'Y@zO)og>{;KM ??~l|ɼ~♲ݶۢ|mwitn?߿?.ugqwJkJY=zpt&~Ebh;0!:COwH`Uju Ao?}ؽ}{lleM|ɴk׉M6Op$JAq _?.O擲scII19;GdW.i;i%LJʮE›~[7|NYY?]2TW¸S0Hk '$J{e:{CϲG>Z"dOϢۿ&:x-0{c{χ`wvJnQoɑ1!zi|#g۲}^'[&mj@dimRehr1SP0tXCs&w).u@T !%n {2%͟l?5Gz}\5{|uWKY?u1{*8ҾoL/o;4{}voR>y[?Ҹ/՞£6f6iv$=+"7յl3[-8Z)m;رotyvۮR3Au7%C,|k/5gp[6Oo e0V#KzuHUgџwQ7p&VEfeJΐqRV"[i#vw.mr2 TncG6Pdh!+3kT﹏kdxnjSqb?gįmnշ6\мI؛UsKNҚ"d5G {;e߿6 .sLQnb O;PIVE>n!_٢S=@Gz웿w(ܬ}Ϳ;ZUuHnM'5?u߰g6eV/:57+{:NY16$6袩m*`jfwej8#f}T9]D5t+2KO::+~ØvKŁS-Y#'HWVRunnynP E*Ca'~t`uYM&o4SOSLvOI#i~|uw7?;n,`Hh[+PGN{ӼGDzopu[%CF O#O?n[mzGJ|vknL]E|Qjv7g*xq|jlV娕Hs9Ի?=cǚN9AO9}ޖ@7ՍQnqisǬ*w\hVDXz3A#7iUOz=ٿ;mGUl߇(j1g9HTq iԻZIcy.c۹WOݷI;GK]Lt{+ (|-\TH]^mlI@*i LJToC̵'p3LSW=0mz"sݰ\xn"ҥ4i{MXt8&=w?>X\MM^%s*G6ٸ4#0Y)FCo*iYZx()-U`4T.4{}iyۭqwhi#%2qz~-s>ͿOK )q3s16Wc])ztbmr*%RɉU(bt܎=}ݗ}卋}{M]IՠHʰ$F)z{{V{-ʨC%UF6vDyboA.SwͿw?/]πޢ콉LV`TFK/wF+uqAE=-aVVbR9R/K+XyK>|p}XvjH[Ǩ2UV]@Tr컾ռA1LZ'WA+CB 8a:ש.>Ol6Wc bu*d}ù3T_kv2 Bf 7B>;{lu5K%` ,WAzЌ|7d7-lv{hME1{/ZD6dWHGtl?rT1ο}^lI ZqQ6)7ԌZsjJHHU3^Gc=8^7֛t$I+Ԓ7# }5!XҺ|Tƪ?|Dz91whbeI7=-3U>45F5/Q0*QK/߻owwH[`\m WAI[D/ur挢x J\k%F+U_MKgtnn^ e6Z}QWG>Mb")Ud?Tivٽ6Cg7.n%M;I3\/5sq#ʷ"3Q;NAj:t18,W/;_ ~}׋?<$7Vmx}ؽxIӯqjV+A_Aǻqx$:Z WzW|/Mopkk˽Vzϸ#U>Eaˍ'RyWr>i}ognZ 0.Ec4tw`ٹ2xcll'zjo 7˭U̶GQeh^Q&k'>^sߞg,'۱%hUXm@҄PP9fnq=ZdӪ,=™K_غgwPeߝq۫vv9>?SjRo՝ɜdM&KkM4($_PEǾ|UϴrHn njk=4\*Z@%o-m2n:գѠ :MABMTs)LԱأyKoPOVC(Mv;\z|/]W쎕{)%u"wUAO)hL٥SztR=w3>_wk9sn-8"6F6d4+Hfu#gMn$SPi;/^G0T7{o4h$ ުܻxe=,O]*05!}D{͏o>onMpw=j>A.*p4T㨏_ߜ K{F̠u_Za<kc^/?-I!x|ڴ]Vob_Ri5hmڕiJcaMv+^4 O>)n|# tW]?g@qumSnG#SSz)um;xʢ3Lsr$\-,Oش Z30APKR9Kok~;QTp1ʋZT?n_zn¨y-6ͼ7fQdr7ܹlM:@{̑[.b[d6vDa,4uhkBC]坏~LN!F+L`qoGֻ;[/.mbM=[RasHҡcMU f˙=杗9Cq˷MboM%uxs,L@c@ TM];.:tɩj 5#+ &:*?'k|z]گ=ۛTPUdhW7Fjg|N'@UYK=\)p!-c%"F/֥I.m\`~SWkDݟ& Ov1?=+Rh1۹Z~J7W,˷CihL ,ĂOVz~w䛺r7Lǹ6|m?iO)?w/to;/xn/ZvՕZ5 Ic_n}ƞۆ]Xo6]7v lICܝ˜1S.Y,tb(Mbt'D׾/|16ƾF=闣nZIJgIU;t?O$QՔ>Ǿ>{m;<kKmkeionV\3<˜ͷ.mMlj,`( ew#@1?g|3i_޿Ckto\m~G+d;i7Vd45"UUq}{Y{؛_*$qxf5|CJI$-mބ0Ƹ?ĖmSKi+S?inޏsH{;ve`s+vwbmM48|ExkKi^FZH Wi$v`](C{ߵ|[lmm:ƸMZT TAڠaEiSRI*ρ_(?5ܽߞ4j J˶~"oiEZFN,O 7*XG{g64ifj4 @߽^f7͏d kU ʊ(Q_<G{?WxoV_--D`nTycX^bncDrxsD9RHKtȌR:9ܶ=o|K$ZF#RaQC0Y+g{#;z3ACw7RguX\_bn G+eTԅ\{7<}{Õ^7 Ȳ|Kk8f]UiF:l>/,pn1 52n%u5z7=U U؝#2kp4ԲO )$ i@xF'yێdl;RLs`#)$k"n1Яwٶ}xOTcPCAi?_.p ^+8ڵ]j|>zfAՑ2_Kzvߡ^nM>vO>P5_ms]yt`o_V>aOT/PHT[ؘzsll\ESvWQ(3CJH[6|}rdkKKu_N|h. 4E|#zb@@A'/+\1i F(bdjV5-ZY>t͡]۽j:׵qCs?ޝT_f?s_E7}rn^V"{4,D_[n֛n@ax 3j^~չKm5uG-m #:ԩ Q]ےOpmӗ_1NA#L+=x c/vQWoj8q{O3{ʦ$3URhhc)itBcRAȟg~{c&<9sgqwVL$/O@}qn5Q9Xm#ڙL_VoMN% ;Cw`W`eHaW֒7RTwkyĸe ҬI%P㊰4==t40kC»9>Ta=3ܝwT|uv'oljoUtV7%41RG*҄axUӍw~?'ss$G,LdخGEfQd-onR>)H%RZ2@Pt:%?ʯgc_8 _t YkЋ؟u5뭳+2ybf;3Uf=Z9?wܯϸ]OO7ؾzӱ;nC}5AܮV=V>dY+v/OuaGet>tn)#Lf[;UT'=d Y{7&s:O-{1\qKdQ4JJ 0$JkVR@!F";Fݸl~%l/p,*j2= ;{ͫ-G7Mu.Z3U!QsPMQPܽkwRÛKn4wtb#Ku!b!!X1$ko\kre9yĔ3knAVTbWxomsWwo{/oo& ѝPۙm*}˼>:kc+0 ŷ3fn3!,K T, R Oo}+ڮqCf[uehł`H#]6vMomqH(V7F$R$/| ۇ~6Mi.M݉C ǹe EhAϻx_x=~\p;Akgja7 gonX&;4jFnO˻P[(%_O=)V h";wK=O[uܻKlTLHZ: "0y5Ohf^zqְ\Nʬ2O=w?d=Ia }T|(.?kYn.l8ޔ՘\wS'Y!)+ jC}A=ݿui.|+o^ҫAj -cEJ!sBM#\[mӲ) D,^@ASF&CiEbWxomsWwo{/o^ctm}m{/Gܴ? ?eh(>w5~*6)Ho)n}{;Ӻ/aho]6l0c<˜ͷ.mMlj,`( ew#@й}OèS6\*ibJ_s%P:aZOg&1/9˷L%Ê_@ ̒D'.]{ۮo4jeԾA'U?Fp?8Ykd'l`{c`~.tm]W3;FFXz7d0|{Z}>dJ7kŲDU7SIC "2ݺ=+>_(Pe:.ƆF+"'aTvǎ}jKhϞ={c+4 ;sa5Xzv%:(Vpt>>{qr\˗.?E[j菮 ƒ jT/m/tf24v1I+JҸ<؟rue^ؿn.8 'pwhsx܂+{BWMFgZ)R!c9\_0{.yfKImi%}7o}yɣƑ;WcVhegˈ0K8fKy^N @k @;u=?)'cSO? Zn \mW%%DW)%tvRϽ|΄rò+X%+B&ŌAjXUj f.7+%*lܑ^+oo ^G=5]٪1 wj97;w|mr rP&UaG^]]5_[|x{GzlJy>-ٻQE_mjigձG|{6E4Vso$_偵Mρ9͹%Wq1_mYuoYNX7YIqmj=,.ax_ݛ:E(vªHµm-gZ4[qfO?ķf39:25I⧆(#եT l~O.O/x;EVGh}‹IvҊ٘ҬĒz߳^__]r滩gvWrY My:Qlnf?;hNƠK]mJ-ςTدvemn#Ź6OJZx̆'}9s]{+vKֻRx7 &Udʚ%YjZ~}V S@ Zįz)8hH"_7dQt'L(wI;|^ (S*`tEG;ViD *C B>}^XNxkkɖՠdKh &jTחV]6-Bq&:TK#w7J>]#zV| ^讈vNޤaP]]V/}؛Qxb-+z!W߸{7<}{Õ^7 Ȳ|Kk8f]UiF:G_ȼül{+@Ud2Y%w/ktRvF[c~l-ŞSj76-2/K VWxUPLT}^l_!iw WQEZBҩE*E(I5g}~k}t鸽5Kl`CcS)jb+>&,߆ [ vQ[5[JO7jy/}j6Ki͞I=5V:#7/Ti)㲺`C>}r.\nѫ?kiYiפ֥I%rۧ/O|c)ƝF%uQW>^ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~"'e+tgO9vY?~<+_,'Z"]{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ^׽u~{ߺ_}DyK _Toc482434357}DyK _Toc482434358}DyK _Toc482434359}DyK _Toc482434360}DyK _Toc482434361}DyK _Toc482434362}DyK _Toc482434363}DyK _Toc482434364}DyK _Toc482434365}DyK _Toc482434366}DyK _Toc482434367}DyK _Toc482434368}DyK _Toc482434369}DyK _Toc482434370}DyK _Toc482434371}DyK _Toc482434372}DyK _Toc482434373}DyK _Toc482434374}DyK _Toc482434375}DyK _Toc482434376}DyK _Toc482434377}DyK _Toc482434378}DyK _Toc482434384p Dd l<  C A2 U2^X N.  `! U2^X N.$X P2 xZ}pgw Wd؆zb?I@lm1oGrinr$x4(X84XG[ulC 3F:PZ[1@|wwsv/f~>{ y"P b?{"Tnb4Zmx{ᆳ;+W0 U%)Tb@[>bx+ !7ԓgEƕˈ!@x 3")R".w ơc#ӀK)gn#bQ+\:kn_c-0z\ĻD$cF %?fDO $avf z0'%aH"9Fu`nLxZ0HLZMiZ%eLGV›_t?@Z)gS ; 8C$oziQ3=S7;C*C.>7N]f;`§B0{6S(Zx{gcnqquPKd8c'IͧӠEo'av!tބ?X)?Ƶ*F||L=BO/C;DGЎpW~?cQ:~'W(ש^})zwwu a+g s6-sR~fה%q,TAd; o+^|0VɸU^t,ij] -*a-ߕ&_Pҍc|͙1V o+ٿSf,n߲ͭ.nGmzZxϔQ_}Mٵ,H3G}#˽DzfilT_pi/bkk=ob͊d0g jfvs:k{70yo&v͐f‚01it ̼g{`WI`?D.I=1Xf}~2^N`fj bQtqXUc`SQ`S/QftǠӟ^N |>O`fOw wң9a-Zr>?9\K<o^|b{qx#]NmUOӚ"'EAm%_2K qx'  UiК#mZM[ѿ=]Xb*vgn=ğVA~[.K2Ze74ñs"guH<C/Ƅ+ῗseWIgLIWEO*2AɣPZm[{c%2ƪ?gh/kɳ6׶&_T}/* WcZ]W86&vX!CY-_j.-}Δ#cKmq Z>ND_]UNal2:91Ȟ&;ٻF&Vwld9ڢHkНIδRc,sv X6l튶FcZs<N#Ģ|4V|ctk>;)^ /$w\=YTWm{/<jj% )G oG|nČa# [\B AyF<Nۗjp:s .p6"x뉎DyCNQdYCq6jkEbat98ǧ "1њzzۢP.5n?)u픡WG YDd+5D~rpW7/B}5>1?eߡRRzT1u^46ԥ*Idï\iq&Ddt5$H   !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~-Root Entry? F`BLL L@wData ZWordDocument>,ObjectPoolA"zL(L_10189464897dO)zLzLOle CompObjuObjInfo  !"#$%&'()*+,/01234567:=>?@ABCDFGHIJKLMNOPQRSTVWXYZ[\]^_`abcdfghijklmnopqrstvwxyz{|}~ dO)Microsoft PowerPoint SlideMSPresentationPowerPoint.Slide.89q@= Y .?[(*5 xYO\`L0.f kil`H$F+TmժR Vu]%q4uRUuQ/dumnKw{Νs)3 xwտ.n8]Z_&sLM<<1 CDs̽ Kn-{N@+v(?/2PlvYPictures # Current User--SummaryInformation( QPowerPoint Document( 0U]>Ә ϱlRTo-a>h%[gƏ~8_`?M4kV~ "*zܹEU;EoNc\jTfUs雝}"9 ЦO DŽb%'T<S}qDy±.q-}s|&uKze\Fϯ&Hb9܇{1~|Ksऊl+ C}GUǥ{ 'h1w@|Svlw-훇#?h<>5Ʈz!/(|9';ѻw̵;^u^ulr^I=k#KlE@}wE%Ӟ}RZp8Z MUqUnU]a.:\3x͑"]QrK,-2Y]e Ax%g[[#csض:jhgb2z.v_W:iQ v}6+9'k\j7.>3.c@'i"@IvHnH,ze O#--G^6 0r4$hSQc~5m#r\m'-̷1Z}eJ%hV9{5ίѽ9H uMK\3kh]l#zRsѓ7S= [##zZ^؏![FTg\8>G8SdE䄿cxԗ-! #>ծsl$WF5upDC`6V|W`8B [8Y_{h R,Q`њ7eټ?H@s8:_z_{w5_=fil͸sk/%S߀sÿqE ~-\p*J RMc}8ņ~uRMw<;s1U0ސlQoE~|oU<5lghT<6/?ީw"kNC!{?}M9}8_kͲߑ5o}_aoSk;af}8ن|5L7s x4䷼P~#>'ߡϵPgng3rw8=L.~ƥ|'?\xVl,s_a\ ӛ{pk75{W{04=IE@@G7Fd}Ptl[{k)?ifw$ຎ+΂~:+#84zLr2@ArNEo:codF:"@Wj5++2(ko'xYYF+jbWiGa\3'\ϣ7ɸ%M4C{$w79Pu:nr706Ԗ fH|AKGy]wJM¿k)U7l>B^pui-?k1euŸue]lwo#z7XN_%d֙\7o8:wJM6F-Py -r=N!^OlvmĹ%~iozSEto=cUzGPz)9y UY2o}z͢G8Kg@D[$~y{r|s|\u^e ^]|&'kw?12L: 3}V*ֻZ@H;^Y_¸y{ve2,x|Ϛ|Y;<*yO N|gg^eo@JFxI*ٛ:N%yR 1Nmt@rħ;D4 pozU;a]RϿ C[l/CO'K>~q{H+p| Rfht}|;[Zw-L}#ٞUw9?ͩڐ3Lw2v,xg"q='_7z͂61߳LOyi৽%}vVpmw햕UP&(˿9mʋ֑zm;m{m9C=|= /sOt+F_7uX=Ns2ܗ/m%_ U bIrene Mohamed՜.+,0$ Oh+'0Q `h  PowerPoint PresentationBfieldiIrene Mohamedse7enMicrosoft PowerPointon@Pj@0Rl@ /]޵$GPoM  P('& &&#TNPP0v & TNPP &&TNPP     'A x(xʦ """)))UUUMMMBBB999|PP3f3333f333ff3fffff3f3f̙f3333f3333333333f3333333f3f33ff3f3f3f3333f3333333f3̙33333f333ff3ffffff3f33f3ff3f3f3ffff3fffffffff3fffffff3f̙ffff3ff333f3ff33fff33f3ff̙3f3f3333f333ff3fffff̙̙3̙f̙̙̙3f̙3f3f3333f333ff3fffff3f3f̙3ffffffffff!___www +22+ +2+2+2 11 11112+212+212+212+212+212+22+1+2+1+2+1+2+1+2+1+2+2++2+2+2+2+2+2+2+2+2+2+2++1+1+1+2+1+1+1+2+1+1+2212+212+221+21++2+121+++221++++222++1221+212+21+2+2+1+21+212+2+212+22+1+1+1+2+1+1+1+2+1+1+1+2+1+1+1+22+212+212+212+212+212+212+21+22++1+1+211111111111111+1111122++11+2+22+1+1+1+2+1+2+2+11111111o11 "--&TNPP &'}      !"#$%&|)*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{~Y(G@;  0bCorelDRAW &CorelDraw.Graphic.80*CorelDRAW 8.0 Graphic/ 00DTimes New Romanbbb0bb~0DArial Blackmanbbb0bb~0" DArialBlackmanbbb0bb~0"0DTahomalackmanbbb0bb~0"  @n?" dd@  @@`` 2*(:3,"$Y .?[# zS ~1? fϻ~@:2___PPT9/ 0 g44d4db~0b ppp@ ? %O =X 0` ̙33` 3` 3333f` 999MMM` f` f3` 3>?" dU9|? " }d"9% dzP n?" dd@   @@``PR     ` p>>   0(  H  0޽h? ? KB߆ P&r_clr* 0  z(    TT'vkõkõ ?S&  v }*   F##FFii  T'vkõkõ ? & v *   F##FFiij  s *1 ?.Q  v<  T(vkõkõ ? @6 v RClick to edit Master text styles Second level Third level Fourth level Fifth level!     S   Zt(vkõkõ ?S  v }*   F##FFii!  Z(vkõkõ ?  v *   F##FFiiH  0GhV? ? ̙339(0 ''022 y'(   vB  NQDԔ?R; oB  @ ZD ?B  B  @  `gD ? DB  @ ZZDԔpp? B  @  fZDԔpp?|Z:|"  TG'1?: |"  TGZ!1?l     T)v 33??-Q' o# Land Ambulance Activity Map0$ " 2#"  3 rT*vlili?G0*8c3ԔԔ?Ec T Call Request,   "  3 r+vlili?G)8c3ԔԔ?e  WCACC (Dispatch),  "  S ~+vlili?G#8c3ԔԔ?~) ZMinistry of Health,   "  S ~,vlili?G!8c3ԔԔ?   _Non Emergency (Standby),  "  S ~T-vlili?G0*8c3ԔԔ?: cTiered Response Fire/Police,   "  S ~.vlili?GT&8c3ԔԔ? D   [Emergency Ambulance,   "  S ~.v(kli(kli?G 8c3ԔԔ? (  _High Density Call Areas,  "  S ~/v(kli(kli?G0*8c3ԔԔ?  LLow Density Call Areas B  3 rZD pp? L B  3 rZD pp?X X L B  3 rZD pp?^   F * > f   l^ < N * > f   * > f    BYC>DEFt5%44 5433!  W>H>;4@$A!@===ACB#@'@+A/B3D5G7K:O<U<Y<W>    78@ @      @      ]     BgC1DE F5%EE(`1g%  @ @  v f    6BCDEF@5%$$'HKV_aabn%y8:<>IHB=60*)'&qV6432/-*" !' @           g @ ff    6BDCZDEF@5%$$D941 0 12!91AL ZPM K!I9*1).+,1(@HGGEC8(;>? :5 7=A D @           * >     B=CLDEF`5%-(.(/(/)/).)-),),),),(,(-(**+*,*,+,++,*,*,)+)+)*****),*,*-*-*.*.).(.'.'-'-(,), 6 6 6 7 7 8 8 8776 6 69999:::::9999<<<==>>>==<<<??@@AAAAA@@??CCCDDEEEDDCCCFFFGGHHHGGFFFHH I I JJJJJIIHH J J J K K L L L K K J J J/01110/...../-.....-,+++,-+,---,+*****+**+++**)((()*()***)('&&&'(&'((('&&%%%&&%%&& & %!%!$!# # #$%8;=<<:8534468@    @    @    @    @    @    @    @    @    @    @    @    @    @    @    @    @    @    @    8 E    C xvlili? 8c3ԔԔ?t p  9911   ZA ?Ԕ?h  B   `D ? B   `D ?  B  3 rZD pp?   B ! 3 rZD pp? @ " C ϻ Ku F # S g 1 F $ S  9 F % S s 9 F & S  s F ' S s s F ( S  S F ) S s S F * S   F + S s  F2 , S  +O  -  BCDE4F<    @ 7  . C xTv?8c3ԔԔ?@ Cs  W Base Hospital.P   " / S ~vlili?G1&8c3ԔԔ?   LMandated Non Emergency ^B 0 @ 6D>?@  1 ZԔ?H lT 2 Tv1?D  KBenchmarking Activities 2H  0޽h ? KB߆vx\ @U^EDE|! )**:9C1B4c]+t^i5:f 3srh1:C-2^p67޶.~}kZ{gQ߄aHL-OH n&/\1rJ8](Q@+@JAQNA)ROJzQM0J})SG?RDBi0!RtHJ(EQNiFQR4єb(KJqR'A?lw0B:!X e?&ƞ+9c|{ѽ]x I`@ftB5>ρ$S/SZ5Y:fBS`A`_n u^Z?{APz6[?9"-A߰γNk@6PRhIPTA]Wqu}u ~[${n+%YAi6VQm?սWw?kƌ\ꋦ%OXW&Y9,̟@-Kgd{ҳV _[ x$_K$\hQ6Sg*2*%6QkpR? GܝD::Qf0sAQД_UoYVgbʳr r -4R"Qw=ySdgzbWYTz#53phorjIXGK_>Is@O"EZ@]nVxX˽Ou]xFN73$EM}Ne%b=uݞS^7 fl@\dpPrJ&hKHRh 7yVy%apyp ~|cmaSPYXmwiӍڔlh)hЩl6u+iӍZw7&#|rC|uTiSUaS4F?#tx6hMb :˺툗\P ڤ :3g1&ϙ?Mp´aSIs>%UXh釴xcٺtuW5raSmaS A^q6s[6%t#m M[MDvܐ~2w:LN67M{udͰ1RweUv}ݷ |?k s 3UMwZǨ3kı$eDb[ MkmCs-Zk.Ptظ%eu(/1jظ5ƕX)~ ?)J+Y{w-Ä3^^-uP9gӔF-Uo~P^uK>`Ay߽֞gRMƁ=ȖPJir+ôԧ!t?Q'*^-/bW:GֻZ mxOh+) 5ec$OkbpU!UYx.!C^]ci+g϶Ƅ'6zYܮ̶n"a\_;S%ef),H_eYYTWXfx?{@gK>ϥ^pfo%O$ޔ!i#hΥZ;s 7uͥwezĻDXuB+~ʗ'SY-_xZR#j9rXt8툅v3f;IpN6Sz9;Y1GOy>b' zi>@Py Pv~ jGHt0mA&;zl$RG6@[4G~"SKKu3 MHL Δh&į^S{I *IPB3 as"!{!CȻ\ Os?θ=D!썒,="IwJ}ߤ| .~"BϏsiu)v"?**}D8"|" yé߿{S?Q/Qιg$wUn[d |d1m=JO$[ǩ{X. Ib?`ӡo(@|{ ֨q:K'6ŧoh$M$n'[%H@2D:NV";YxdO WWC0^m$Am)RORK\d8kt%)]a!"gelve7R9ǐ7jݧ-R_j ;Ui[V.L TQC$[a$6+EζߐL?_ ogYsimoͶI~"Պ9nB rꇎKpeB^N+G#t^"\+aOp~;Ph&p1YgKL{a[%%X ~;٨_lN zap\KC>!*ݯupLGe3Tcx8=/WxU)7(PZoQBfc>gJɰou3ٷOJULsPTqQ^*UqQrPJk*X!+Ɇ$%Cճ\<3!*%&Ixadߗh? }VT2q 9U@? ?!*CdK~EOQ2/*rDCRyWtdފ?Ws!x&\w ޡgW -JuOkTVyo@!ߪ|"zWHp=]: `~37&A]t=E%㯊{RI`U9YxYe1|2|6))wp4yا[Uםa_3iikpDv5I,1=ggZcvMmRiہ3Y|l7iGyKF3Eʠ<hyp0"_?ßuzRh}ʹ;Fꙟn#`կm ڱ}hR{gVCuU~H:ޤI]抽*6"YRA -VZ)'P*BP BL $9*_mjij^?ؖwhv{!">*$KԎ2oҞmE75iA&MlxojvBBW-Ao|zkΠ5RP,r1jGMt,5 %mX\[  ߎ\3fض=NjAvAohHnZC. x3J`Gdm BKUK]VidgUd 'r %05/aJXnk%A .nEOKOG:?o08u -w=%ze tN1pbp5hR㍯ MUa[jjlЁNOjqCKWhQ/. :s˻r>b /YFT| {"8ms*̉wxi nUSZs4uh8o`j)u[;yi {Xx QӞ2xW7;yT{V1acx`ki@w"O=0P]lE)PIT*k,A{u;0H:>ΉQ`|6bP-?J]er.X |^ t)@HMq[Rn,x%@6 t"< $N6 {Ƶa+@ld@JQ "9 ~t²LKVaӗ;x-$9OO$]p串@〿̰|?%, ꏻ-3D]fVrLȡEo^#}g5 Iᡔ7~%y{d=Z^qnOs,9'F+z\C8 -_->p^BHWp3[lmLaՖOE؂ae ̨eɩq65=W7~ջLwͷ? ߇Cow/y-ë0`=toQk0@Iښ!}D5k~ko:tu2P{@~z=3yvĬd{ZJEQA2Gcxnjc&][u!C+stdole h%^*\G{00020430-C 0046}#2.0#0#C:\WINNT.0\System32\StdOle2.Tlb#OLE Automation`EOfficEOficEE2DF8DOw9 3 <    ''  Arial JwSwgw  - Arial JwSwgw  -----Arial JwSwgw  -Arial JwSwgw  -----"System  -'-  -'-  -- $::" " --- -'--- & :DX/  / := = :J J :WW:ee:rr::::::-- -'---  DX-  :" :" -- -'---   -  " -" " / / = = J J WWeerr" " :8 " 8 @" @8 " 8 q " q 8 " 8 " 8 :" :-- -'--- r !!-- -'--- h rd-- -'--- e ~rd - - / O -- -'-- - e ~rd/    -- -'-- - e ~rd Pu-- -'-- - e ~rdo7 <-- -'-- - e ~rd/   5 -- -'-- - e ~rd- -" C * C f-  $; * ; K K *  C  C $; ; K K  C j C $; j ; J K J K j J C  C $; ; K K  C  C $; ; K K  C J C $; J ; * K * K J * C  C $; ; K K  C  C $; ; j K j K j C * C $; * ; K K *  C C $; ; K K C jC $; j; JK JK jJC  C $; ; K K C C $; ; K K C JC $; J; *K *K J*C C $; ; K K C C $; ; jK jK jC *C $; *; K K * C C $; ; K K C jC $; j; JK JK jJC  C $; ; K K C C $; ; K K C JC $; J; *K *K J*C C $; ; K K C C $; ; jK jK jC *C $; *; K K * C C $; ; K K C jC $; j; JK JK jJC  C $; ; K K C C C - - -  ? -- -'-- -  e ~rd/  r  p-- -'-- -  e ~rd @e-- -'-- -  e ~rdo7 z, -- -'-- -  e ~rd/  r % -- -'-- -  e ~rdB- -    $-WW--- -'---  e ~rdB:  $:-OW%W:--- -'---  e ~rd-- -'---  h rd-- -'---   -- -'---  r !!-- -'---  % >-- -'---  " ;-- BtBlf-  $l::JlJBB $::JJBB, $,:L:LJ,JBLB $::JJBB $: : JJB BL $L:l:lJLJBlB $::JJBB $ :,:,J JB,Bl $l::JlJBB $::JJBB, $,:L:LJ,JBLB $::JJBB $: : JJB BL $L:l:lJLJBlB $::JJBB $ :,:,J JB,Bl $l::JlJBB $::JJBB, $,:L:LJ,JBLB $::JJBB $: : JJB BL $L:l:lJLJBlB $::JJBB $ :,:,J JB,Bl $l::JlJBB $::JJBB, $,:L:LJ,JBLB $::JJBB $: : JJB BL $L:l:lJLJBlB $::JJBB  $ :,:,J JB,Bl $l::JlJBB $::JJBB, $,:L:LJ,JBLB $::JJBB $: : JJB BL $L:l:lJLJBlB $::JJBB  $ :,:,J JB,Bl $l::JlJBB $::JJBB, $,:L:LJ,JBLB $::JJBB $: : JJB BL $L:l:lJLJBlB $::JJBB  $ :,:,J JB,Bl $l::JlJBB $::JJBB, $,:L:LJ,JBLB $::JJBB $: : JJB BL $L :l :l JL JBl B $ : : J JB B $ :, :, J JB, Bl $l : : Jl JB B $ : : J JB B, $, :L :L J, JBL B $ : : J JB B $ : : J JB BL $L :l :l JL JBl B $ : : J JB B $ :, :, J JB, Bl $l : : Jl JB B $ : : J JB B, $,:L:LJ,JBLB $::JJBB $: : JJB BL $L:l:lJLJBlB $::JJBB  $ :,:,J JB,Bl $l::JlJBB $::JJBB, $,:B:BJ,JBBB:-- -'-- % >- -'--  ------ -'-- ~Z <2 s#Cost per Unit Hour vs. ALS CaptureoH=8!=8'H=!H=='68E=CH8=!='82 1998 by Region8888=5H8===-- -'--  - -'--  - -'--  -- -'--    2 -10'' 2  J0' 2  #10'' 2  #20'' 2 ,#30'' 2 :#40'' 2 G#50'' 2 U#60'' 2 b#70'' 2 o#80'' 2 }#90'' 2 100'''- -'--  - -'--   2 ` <$50.00'''''2 ` $60.00'''''2 ` m$70.00'''''2 `  $80.00'''''2 ` $90.00'''''2 ` #$100.00''''''2 ` $110.00''''''- -'--  ---- -'-- C + "2 5Cost per Unit Hour3+'+'3+3++-- -'--  --- -'-- Z }% Arial JwSwgw  - 2 P 5$Percent ALS capture (cardiac arrest)- -- -'--  -- - EX-- -'---  CY-- -'---  CY- ^- - rrJ02 _Region cost perunit hour vsi0%%%%"%"%%%%%%%!" 2 ALS%-%-<-- -'-- - CY-- -'-- - CY-!!f-  $))!!B $Bbb)B)!b! $))!!!- !^12 Linear (Average ALS Capture)%%%%-!%%%%-%-0%%%%- -'--  CY- -'--  CY-f-  $B $BbbBb $- ^32 Linear (Average cost per unit%%%%-!%%%%"%"%%%%2 hour)%%%- -'--  CY- -'--   - -'--   -  - -4--c - --- - P  Arial JwSwgw  - -  2  UTM D0)70'  -- -- ?r - --- -  G - -  2 I UTM A0)7-'  -- --L ~ ~- --- - C p - -  2 UTM E0)7-'  -- --1~- --- - 9- -  2 ;UTM C0)70'  -- -- :! - --- -  ') - -  2 + UTM B0)7-'  -- --H - --- - ?- -  2  Mean % ALS7%%%<-%-'  -- --k - --- - Y - -   Arial JwSwgw  - 2 2 Mean Cost / Unit Hr.-  '  --  - '   '  'CompObj9bObjInfo;Workbook(Y_VBA_PROJECT_CUR" LL \p York Region Ba=   ThisWorkbook< ="!<X@"1!Arial1!Arial1!Arial1!Arial1.!Times New Roman1.!Times New Roman1 !Arial1$!Arial1!Arial1!Arial1!Arial1!Arial1!Arial1!Arial1!Arial1!Arial1!Arial1!Arial1!Arial1!Arial1!Arial1@!Arial1!Arial1!Arial1r !Arial1 !Arial1 !Arial1 !Arial1!Arial1.!Times New Roman1!Arial1r!Arial1!Arial1!Arial1!Arial1!Arial1!Arial1!Arial"$"#,##0;\-"$"#,##0"$"#,##0;[Red]\-"$"#,##0"$"#,##0.00;\-"$"#,##0.00#"$"#,##0.00;[Red]\-"$"#,##0.005*0_-"$"* #,##0_-;\-"$"* #,##0_-;_-"$"* "-"_-;_-@_-,)'_-* #,##0_-;\-* #,##0_-;_-* "-"_-;_-@_-=,8_-"$"* #,##0.00_-;\-"$"* #,##0.00_-;_-"$"* "-"??_-;_-@_-4+/_-* #,##0.00_-;\-* #,##0.00_-;_-* "-"??_-;_-@_-"$"#,##0_);\("$"#,##0\)!"$"#,##0_);[Red]\("$"#,##0\)""$"#,##0.00_);\("$"#,##0.00\)'""$"#,##0.00_);[Red]\("$"#,##0.00\)72_("$"* #,##0_);_("$"* \(#,##0\);_("$"* "-"_);_(@_).)_(* #,##0_);_(* \(#,##0\);_(* "-"_);_(@_)?:_("$"* #,##0.00_);_("$"* \(#,##0.00\);_("$"* "-"??_);_(@_)61_(* #,##0.00_);_(* \(#,##0.00\);_(* "-"??_);_(@_)"Yes";"Yes";"No""True";"True";"False""On";"On";"Off" #\ ??/16 #\ ?/10 00000 #\ ?/8 "$"#,##0.00 0.0000000000                          @ @   (   ( ( ( (  $@ @ (8@ @ (<@ @ 8@ @  (@ @  ,@ @  h@ @    8@ @ 8@ @ <@ @  8@ @  <@ @  8@ @  <@ @    (@ @ 8@ @  ,@ @ <@ @ 8@ @  <@ @  8@ @  x@ @  ,  (  $@ @  0@ @ (0@ @  $@ @  8@ @  ` 1998 UHU LD`< 1998 UHU HDE` Cost 1998tSheet1݂Sheet2Chart2VSheet3QSheet4<"   3  @@  QR8UHUAreaResponse Time for H.D. CallsResponse Time for L.D. CallsData Percentile Data 1996 1998CriteriaDispatched Code Fourt1 to t4 is greater than 0(Low density =< 24 calls per UTM per year(High Density > 24 calls per UTM per yearRegionLowHigh (seconds)UTMAVG UHUUHU 90th HDmin hd90th LDmin ld AVG 90th HD AVG 90th LDcost per unit hourPercent ALS 1998LSR Actual Costs 1998UNIT hours 1998Average cost per unit hourAverage ALS Capture T3 Tmax 1998 Staffed Hours T3MAX 1996Total Call Volume (1234&7) Area (sq,km) calls per kmABCDETotal Call Volume% HD (>2/Km/month)%HD (>2/Km/month)UHU AreaUHU (hrs) weighted by Area Response Time Cost per Call% ALS ResponseMonthJanFebMarAprMayJuneJuly2c Q?9ax!\Dw@w6w`T0 wHH`T0tQН0LDwXw\w`T0twt`T0Q`T0awQ`Dw@w6w`T04\T0,t0Lbw0w-FwQ`T0mL߿0n\pt0l<Percent0]rlink4  0 y0{T0 y0{T0 yyA p00y 8 yyA k0 y6Y`T0l@֜z0d{0cT0}0RT0llLz0ln%0` 0Q` 008   dMbP?_*+%M\\YKR-DC2\ADM_HS_1525G odXLetterPRIV''''"dX??U(  v  <*M?$]  M\\HQ-BASENET\Lexmark Optra S 168!<X⤗Lexmark Optra S 1650}Lexmark Optra S 1650$w ⤗X,,X ⤗"dX??3` 4' ` 4' ` 4#` 4#` 4#` 4#` 4$@` 4$` 4$  (  r  0!  @  ]! <UTM B< rr  0P!  @a]P!0  <UTM A< rr  0!  @ ` ]!  <UTM D< rr  0!  @ ]!  <UTM E< rr  0@"  @a]@"(  <UTM C< rr  0"  @%  w]"  <Mean 90th % Response <d xx  6"  @8]"x  < Mean UHU<- rr   00#  @ ] 0#  %<&Emulation Zone ZoneBest Practice Zone<%3d23 M *f *vd @4 3Q 21998 Region Low DensityQ ; Q ; Q3_ M NM ] f 54EC3%  3O&Q444 3Q  Average UHU QQ ; Q3_ f5 NM  !!4EC4 3Q  8 min 59 secQQ ; Q3_ M NM  ""d4EC4 3QQQQ3_ O NM  MM<4JKC4 3QQQQ3_ O NM  MM<4JKC4 3QQQQ3_ f5 NM  MM<4JKC3% f53O&Q444 3Q 2Average 90th percentileQ ; Q ; Q3_ M NM  ##d4EC4 3QQQQ3_ O NM  MM<4JKC4 3QQQQ3_ O NM  MM<4JKC4 3QQQQ 3_ f5 NM  MM<4JK4D$% M 3O&Q4$% M 3O&Q4FAo 3O 3*???{Gz?#M43* @<@@?@#M! M4% +M3O& Q L$Weighted Unit Hour Utilization Ratio'4% $_M Z3O& Q N%90th Percentile Code 4 Response (min)'4523   f  )d @43d"  3O % M3OQ423 M )f )vd @443_ M NM  MM<444% R EM:3O8 QD&Q Y1998 Best Practice UHU vs. 90th % Low Density Response Time by Upper Tier Municipality'44 effffff?j?ffffff?ffffff?VY=?j?VY=?VY=?(\?j?(\?(\?\(\?j?\(\?\(\?UN@?j?UN@?UN@?eQ3@?"@@4@9@;@"@@4@"""""2@"@@4@7@"@@4@.@"@@4@e >@%%% Sheet8  M\\HQ-BASENET\Lexmark Optra S 168!<X⤗Lexmark Optra S 1650}Lexmark Optra S 1650$w⤗X,,X ⤗"dX??3` 4# ` 4# ` 4' ` 4'` 4#@` 4#` 4#` 4#` 4# 0  (   r  0(  @J](H <8min 59 sec Industry Standard<rr  0(  @X  ]( <Emulation Zone<ll  s *L)  @' z]L) <Mean 90th % Response Time<y xx  6)  @ u ])@ < Mean UHU<2rr  0)  @-  ]) <UTM B<ll  s *<* @7J+] <* rr  0*  @V ]*8 <UTM A< rr  0*  @ n ]* <UTM D<rr  0,+  @J:],+ <UTM C<rr  0|+  @uQR]|+0 <UTM E<ld  s *  iJ]`ll  s *+ @ ]+  <Survival Zone< @3d23 M +f +vd @4 3Q  1998 Region HDQ ; Q ; Q3_ M NM ] f 54EC3%  3O&!Q444 3Q  Average UHU QQ ; Q3_ f5 NM  !!4EC4 3Q  8 min 59 secQQ ; Q3_ M NM  ""d4EC4 3QQQQ3_ f5 NM  MM<4JK4 3QQQQ3_ O NM  MM<4JKC4 3QQQQ3_ O NM  MM<4JKC4 3QQQQ3_ f5 NM  MM<4JKC3% f53O&"Q444 3Q 2Average 90th percentileQ ; Q ; Q3_ M NM  ##d43_ M NM  ##d4EC4 qq3QQQQ3_ O NM  MM<4JKC4 3QQQQ 3_ O NM  MM<4JKC4 3QQQQ 3_ f5 NM  MM<4JK4D$% M 3O& Q4$% M 3O& Q4FAU 3Oz  3*??#M43*@3@??@#M! M4% *#M 3O& Q L$Weighted Unit Hour Utilization Ratio'4% 8QiM Z3O&Q N%90th Percentile Code 4 Response (min)'4523   f  )d @43d"  A3O ;% M3O&Q423 M +f +vd @443_ M NM  MM<444% K -M:3O& +:&Q Z1998 Best Practice UHU vs. 90th % High Density Response Time by Upper Tier Municipality'44 effffff?j?ffffff?ffffff?VY=?j?VY=?VY=?(\?j?(\?(\?\(\?\(\?\(\?UN@?UN@?UN@?e(@?"@""""""*@fffff-@4@"@""""""*@'@"@""""""*@DDDDD-@"@""""""*@UUUUUU'@"@""""""*@e> """" Chart2  M\\YKR-DC2\ADM_HS_1525G odXLetterPRIV''''"dXX??3` 4#` 4#` 4#` #d$` .$&@z(  r  0   @  w]  <UTM D<&Urr  0   @  =]  <UTM A<&Urr  0/  @6)  ]/4 <UTM E<&Uz ll  s *H0 @6r]H0 <UTM C<&U{ ll  s *0 @ L ]0 <UTM B<&Ull  s *0 @  ]0,   < Mean % ALS<&U xx  681  @u> ]81  <Mean Cost / Unit Hr.<&_U,{ @3d 3Q D Region cost perunit hour vs ALS%Q ;Q ;Q3_ M NM ] 7@4E4 3Q: *Average ALS CaptureQ ;QQ3_4EC4 3QQQQ3_ f5 NM  MM<4JK4 3Q: 8Average cost per unit hourQQ ;Q3_ f5 NM  !!4EC4 3QQQQ3_ f5 NM  MM<4JK4D$% M 3O&Q4$% M 3O&Q4FAQ & 3O0G 3*I@[@#M43*$Y@$@$#M! M4% M3OO&Q (Cost per Unit Hour'4% QiLM Z3O&Q L$Percent ALS capture (cardiac arrest)'4523   43d" DA3O@;% M3O&%Q423 M NM443_ M NM  MM<444% NDtM:3OG&&$Q h2Cost per Unit Hour vs. ALS Capture 1998 by Region'44elKd^U@I@\S@2*ĔN@[@\S@<`HR@\S@9X@\S@{vS@\S@e@T@(\µD@$(\µD@Y@YP@(\µD@YN@(\µD@(\µD@e> (\ Chart9   dMbP?_*+%M\\HQ-BASENET\Lexmark Optra S 168!<X⤗Lexmark Optra S 1650}Lexmark Optra S 1650$wx⤗X,,X ⤗"dX??U} $/}  /}  /} m /} I /} $ 7}  /} I /} 7} /} I /} /} I /} $ /  T0@    '      G     G  - ?-.--.----- -?-.--.---00 1?120-.---(1 1?13--2--011 ~ )8@? )+ *, -( - ." -) -  -  -  - 4#)5XД@ D D~ +$@,;*`w ?  D6S@68@!5.F-@ DD$6H@6  A6N 6@6@ 4$)5f@D D~ +1@,yˀ? D6@6K@!5zm-;q? DD$6C@6@6l6@6p@ 4%)5#O@D D~ +@,[פ*? D6@.@6@!5Y,3@ DD$6\@6@L A6t 60@6x@ 4&)54]@ D D~ +axA,D? D6@6@!5a})9@  DD$6؎@6A6†:6@6@ 4') 5r6@D D ~ +.@ ,7? D  6 @6@! 5Q˼4@ D D $ 6d@6 * A6D&6(@6@ ~ 80@ 000-2007///  ! ! ! !! -* " ! ! 0 4#$$`@68@6H@% C A$609:// 0 4$$${@6K@6C@%@$ V09:// 0 4%$$`@6@6\@%- A$> 09: 0 4&$& K@6@6؎@% A&N3 09: 0 4'$&@{@6@6d@%@A&6 09: 000002007/ ( T6""".rTTPPP>@  Sheet4   dMbP?_*+%"??&U}   Low  T0               G                  ~ 0@ ~ 8@             # ~ В@ ~ @ ~ @ ~ @ $ ~ @ ~ |@ ~ p@ ~ @ % ~ ؏@ ~ @ ~ x@ ~ 0@ &~ @~ @~ @~  @ '~ @~ 8@~ @~  (@  .222222RdnnnnnPHP0(  >@ Sheet6  &A Page &PM\\YKR-DC2\ADM_HS_1525G odXLetterPRIV''''"dXX??3п83d23 M  4 3Q:  Response TimeQ ;Q ;Q3_ ! NM ] !!4E4 3Q: Q ;Q ;Q3_4E4 3Q:  UHUQ ;Q ;Q3_ 4 NM ] ""4E4D$% M 3O&Q4$% M 3O&Q4FAJ~] r 3O  3 bo43*@*@! M4% MZ3Oy&Q &90% response time'4523  ,43"  k3O % M3OQ4444AJ~] r 3O3 bo! M43*?333333?4%  M 3Oq&Q  UHU'43" 44% +OB %M03OPl&#Q D Time Series UHU vs Response Time'44eJanJanJanFebFebFebMarMarMarAprAprAprMayMayMayJuneJuneJuneJulyJulyJulye ףp= '@K7A`?Q(@K7A`?&@S?ffffff&@(\?$@ffffff?333333&@ ףp= ?%@Gz?e> GzP P PZR R R RR RV VdSSSSR RR RV VdSSSSSS   dMbP?_*+%"??U  0 -  . / 1~ @K7A`? 2~ Ē@K7A`? 3~ Б@S? 4~ @~ =@ 5~ @~ A@ 6~ X@~ B@ 7~ %@~ B@dJJJFFF>@   dMbP?_*+%"??U} I }  } $ } $ Percent ALS 1998  T0 ; ; ; ; ;   ; ; ; ; ;        ;    ### j? % B' """"""*@% B<' @4@ % B<,A@@@ (@ D< Q3@ D<  #$# j? % B' """"""*@% B<' @4@% B<,VY=?@p@ fffff-@  D< 9@ D<  #%# j? % B' """"""*@ % B<' @4@% B<,=@0@x@ '@  D< """""2@  D<  #&#  j? % B'  """"""*@ % B<'  @4@% B< ,H@@@  DDDDD-@ D <  7@ D <  #'#  j?  % B'  """"""*@% B<'  @4@ % B< ,UN@? @@  UUUUUU'@  D <  .@ D <   < = = = = = =  ##&>lKd^U@DD@T@6e  A#>\S@  %B#(\µD@ %B  #$&>2*ĔN@DD@#>\S@ %B#(\µD@ %B #%&><`HR@DD@\@L A#>\S@ %B#(\µD@ %B #&&>9X@DD@֙CA#>\S@ %B#(\µD@ %B #'&>{vS@DDaA * A#>\S@ %B#(\µD@ %BA rPH`0(  >@   Sheet3 VBALLdir<=Chart2EChart9U04C-5BFA-101B-BDE5EAAC42Egram Files\Microsoft 6\MSO@9.DLL#  @9.0 Ob LibraryCEeThisWorkbookQ2TisWrkTboHB1m7,B,B["*"B+BqChart92"C@aru9cdT2H2M2d?OSheet3CCS."et3dUT4H4M4d[TT8H8M8dTbb 6 6 6S bF "Gxe?#7 (SLSS<N0{00020821-0000-0000-C000-000000000046}8($HME xAttribute VB_Name = "Cha@rt2" Bast0{000@20821- 0C$0046} |CreatablFalse Predec$laIdTru "ExposeTemplateDeriv$eCustomizd xed#7 (SLSS<N0{00020821-0000-0000-C000-000000000046}8($HME xAttribute VB_Name = "Cha@rt9" Bast0{000@20821- 0C$0046} |CreatablFalse Predec$laIdTru "ExposeTemplateDeriv$eCustomizd xe#Sheet3eSheet4uSheet6Sheet87 (SLSS<N0{00020820-0000-0000-C000-000000000046}8($HME xAttribute VB_Name = "She@et3" Bast0{00020820- C$0046} |CreatablFalse PredeclaIdTru "ExposeTemplate`Deriv$eCustomizd xe[T#7 (SLSS<N0{00020820-0000-0000-C000-000000000046}8($HME xAttribute VB_Name = "She@et4" Bast0{00020820- C$0046} |CreatablFalse PredeclaIdTru "ExposeTemplate`Deriv$eCustomizd xe#7 (SLSS<N0{00020820-0000-0000-C000-000000000046}8($HME xAttribute VB_Name = "She@et6" Bast0{00020820- C$0046} |CreatablFalse PredeclaIdTru "ExposeTemplate`Deriv$eCustomizd xebb#7 (SLSS<N0{00020820-0000-0000-C000-000000000046}8($HME xAttribute VB_Name = "She@et8" Bast0{00020820- C$0046} |CreatablFalse PredeclaIdTru "ExposeTemplate`Deriv$eCustomizd xe["#ThisWorkbook_VBA_PROJECT3 PROJECTPROJECTwm7 (SLSS<N0{00020819-0000-0000-C000-000000000046}8($HME xAttribute VB_Name = "ThisWorkbook" Bas0{00020P819-0C$0046} |CreatablFalse ^PredeclaIdTru "@ExposeTemplateD0eriv$eCustomiz2 a^  *\G{000204EF-0000-0000-C000-000000000046}#3.0#9#C:\PROGRAM FILES\COMMON FILES\MICROSOFT SHARED\VBA\VBA332.DLL#Visual Basic For Applications *\G{00020813-0000-0000-C000-000000000046}#1.2#0#C:\Program Files\Microsoft Office\Office\EXCEL8.OLB#Microsoft Excel 8.0 Object Library*\G{00020430-0000-0000-C000-000000000046}#2.0#0#C:\WINNT.0\System32\StdOle2.Tlb#OLE Automation *\G{2DF8D04C-5BFA-101B-BDE5-00AA0044DE52}#2.0#0#C:\Program Files\Microsoft Office\Office\MSO9.DLL#Microsoft Office 9.0 Object Library ! :eThisWorkbook 1391169aa*D["7 Chart9 2391169aa*Dd7 Chart2 3391169aa*D?07 Sheet3 4391169aa*DH7 Sheet4 5391169aa*D[T`7 Sheet8 6391169aa*Dbbx7 Sheet6 7391169aa*D70H`x!yO!yO!yO!yO!yO!yO!yOP&Excel+VBAWin16~Win32Mac VBAProjectstdole`Officeu ThisWorkbook| _EvaluateChart9Chart2Sheet3Sheet4Sheet8Sheet6WorkbookkChart? Worksheet  ~ID="{D524ABB7-ED4F-443B-A358-1DD9D4CE2ED4}" Document=ThisWorkbook/&H00000000 Document=Chart2/&H00000000 Document=Sheet3/&H00000000 Document=Sheet4/&H00000000 Document=Sheet6/&H00000000 Document=Sheet8/&H00000000 Document=Chart9/&H00000000 Name="VBAProject" HelpContextID="0" CMG="4E4C673BFBC74DCB4DCB4DCB4DCB" DPB="9C9EB5894DD64ED64ED6" GC="EAE8C35F10601060EF" [Host Extender Info] &H00000001={3832D640-CF90-11CF-8E43-00A0C911005A};VBE;&H00000000 [Workspace] ThisWorkbook=0, 0, 0, 0, C Chart2=0, 0, 0, 0, C Sheet3=0, 0, 0, 0, C Sheet4=0, 0, 0, 0, C Sheet6=0, 0, 0, 0, C Sheet8=0, 0, 0, 0, C Chart9=0, 0, 0, 0, C ThisWorkbookThisWorkbookChart2Chart2Sheet3Sheet3Sheet4Sheet4Sheet6Sheet6Sheet8Sheet8Chart9Chart9Oh+'0HSummaryInformation(!DocumentSummaryInformation8(_1019463125 &!FٍL_LOle P`t Bfield York RegionMicrosoft Excel@4ZJ@k.@;[B՜.+,D՜.+,L PX|  Sunnybrook - Base Hospital 1  1998 UHU LDSheet1Sheet2Sheet3Sheet4 1998 UHU HD Cost 1998Chart2  WorksheetsCharts 6> _PID_GUIDAN{03EB0F96-2194-11D4-A979-00C04F99FC91} !FMicrosoft Excel ChartBiff8Excel.Chart.89qPRINT#%@CompObjbObjInfo$(WorkbookL\8 = E   Y ''  Arial cJwSwgw c - Arial JwSwgw ------Arial *JwSwgw * - Arial +JwSwgw + - Arial sJwSwgw s ------ Arial JwSwgw ---Arial JwSwgw ---"System  -'- Y -'- Y --  $ee  - - - -'---   e )d*  * ea a e  eee@@exxeeeeVVee- - -'---  Y  )d-   e e - - -'---  Y -    -  * * a a   @@xxVV  e                 r r e e- - -'---  8 !!- - -'---  M 6- - -'---  J 6 - -  p R - - -'-- - J 6X !q- - -'-- - J 6*D    - - -'-- - J 6 /w- - -'-- - J 6K   h - - -'-- - J 6-  -   f-  $     L $ L , , L,  $      $  l l l , $ ,   ,   $     l $ l L L lL   $    $  L $ L , , L ,  $   $ l l l , $ , ,   $  l $ l L L l L  $   $  L $ L , , L ,  $   $ l l l , $ , ,   $     l $ l L L lL   $      $     L $ L , , L,  $      $  l l l , $ ,   ,   $     l $ l L L lL   $      $     L $ L , , L,  $      $  l l l , $ ,   ,   $     l $ l L L lL   $       - - 3 3X3X3D 3D 333  -- ` B - - -'---  J 6X a- - -'---  J 6*D    - - -'---  J 6 go- - -'---  J 6K   X - - -'---  J 63 3X3D 33 - - -'---  M 6- - -'---  Y - - -'---  8 !!- - -'---   i- - -'---   f- -  a Xa Lf-  $LU U m Lm a a T $TU U m Tm a a \ $\U  U  m \m a  a d $d U U m d m a a l $l U  U  m l m a  a t $t U  U  m t m a  a | $| U $ U $ m | m a $ a $ U ,U ,m m a ,a  $U 4U 4m m a 4a  $U <U <m m a <a  $U DU Dm m a Da  $U U m m a a - - -  -- 3X3Lf- $L'|'|?L?3|3 $' ' ??3 3l $l''?l?33 $',',??3,3 $''??33 $ 'L 'L ? ?3L 3 $ ' ' ? ?3 3< $< 'l 'l ?< ?3l 3 $ ' ' ? ?3 3\ $\ ' ' ?\ ?3 3 $ ' ' ? ?3 3| $| ' ' ?| ?3 3 $ '< '< ? ?3< 3 $ ' ' ? ?3 3, $,'\'\?,?3\3 $''??33L $L'|'|?L?3|3 $' ' ??3 3l $l''?l?33 $',',??3,3 $''??333- - -'--   i- -'--  Y ------- -'--  2  '2 P 1998 Best Practice AAAA!TAA'!N.AA'!AA!!!E2 ) )UHU vs. 90th % High Density Response TimeTTT!@A!!AA'G!c!T!GG!TAGA!'=!TAAGGGAA!G!hA.2 t. by Upper Tier MunicipalityG=!TGGA.!G!A.!cGG!A!GA!!'=-- -'--  Y - -'--  Y - -'--  Y -- -'--  Y   2 7.00))) 2 8.00))) 2 5 9.00)))2 m 10.00))))2 11.00))))2 12.00))))2 13.00))))2 L14.00))))2 15.00))))2 16.00))))2 17.00))))2 *18.00))))2 b19.00))))- -'--  Y - -'--  Y   2 0 0.10))) 2 0 0.15))) 2 0 {0.20))) 2 0 n0.25))) 2 0 a 0.30))) 2 0 S 0.35))) 2 0 F0.40))) 2 0 90.45))) 2 0 +0.50))) 2 0 0.55)))- -'--  Y ---- -'--  8  =2 $Weighted Unit Hour Utilization RatioK,00,0909009(,009,0-- -'--  Y ---- -'--   ( ArialP JwSwgwP - 2 8%90th Percentile Code 4 Response (min)- -- -'--  Y -- -  )d- - -'---   *e-- - -'---   *e-  hhh- - Ls2 21998 Region HD3333B3433BB- - -'-- -  *e-- - -'-- -  *e- f-  $  - '2 Linear (8 min 59 sec).....G...*.*- -'--   *e-- -'--   *e- f-  $??? $- '2 Linear (Average UHU )....7)....<<<- -'--   *e-- -'--   *e- IIf-  $=?=?UUI?I $==UUIII- I%2 'Linear (Average 90th....7).......2  percentile)t..*...- -'--   *e- -'--  Y - -'--  Y - -  -4- - [ Z -- - -  -R F  Arial6 8JwSwgw6 8 - -  32 8min 59 sec Industry Standard)<)))%)%)))%#1)))))' Y - -- - 0-- - -  -8- -  -2 :Mean 90th % Response Time=))))))A5)%)))%)-<)' Y - -- - #g s -- - -  -T  - -   ArialP JwSwgwP - 2  Mean UHU- ' Y - -- - -- - -  -%- -  2 'UTM B5-=1' Y - -- - 6|-- - -  -- -- - u -- - -  -a  - -  2  UTM A5-=1' Y - -- -  e-- - -  -~%x- -  2 'xUTM D5-=5' Y - -- - K B-- - -  -7 J - -  2 L UTM C5-=5' Y - -- - I  -- - -  -@  - -  2  UTM E5-=1' Y - -&~ C  &- - &&- $ [ [  &&&- & $ [  [ &&- && &&-B( UUUU-&& [ &&- $ [ [  &-  - -&--  [ - -&- -  x  -- - -  - X" 2 ` Arial~ JwSwgw~ --  2 ' 2 Survival Zonekb>V,VY,,bbbY' Y - - -' Y  '   '     #* !"$%&'()+m,./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklpqrstuvwxyz{|}~ \p York Region Ba=   ThisWorkbook< =#(<X@"1!Arial1!Arial1!Arial1!Arial1.!Times New Roman1.!Times New Roman1 !Arial1$!Arial1!Arial1!Arial1!Arial1!Arial1!Arial1!Arial1!Arial1!Arial1!Arial1!Arial1!Arial1!Arial1!Arial1!Arial1@!Arial1!Arial1!Arial1 !Arial1 !Arial1 !Arial1 !Arial1!Arial1.!Times New Roman1!Arial1!Arial1!Arial1!Arial1!Arial1!Arial"$"#,##0;\-"$"#,##0"$"#,##0;[Red]\-"$"#,##0"$"#,##0.00;\-"$"#,##0.00#"$"#,##0.00;[Red]\-"$"#,##0.005*0_-"$"* #,##0_-;\-"$"* #,##0_-;_-"$"* "-"_-;_-@_-,)'_-* #,##0_-;\-* #,##0_-;_-* "-"_-;_-@_-=,8_-"$"* #,##0.00_-;\-"$"* #,##0.00_-;_-"$"* "-"??_-;_-@_-4+/_-* #,##0.00_-;\-* #,##0.00_-;_-* "-"??_-;_-@_-"$"#,##0_);\("$"#,##0\)!"$"#,##0_);[Red]\("$"#,##0\)""$"#,##0.00_);\("$"#,##0.00\)'""$"#,##0.00_);[Red]\("$"#,##0.00\)72_("$"* #,##0_);_("$"* \(#,##0\);_("$"* "-"_);_(@_).)_(* #,##0_);_(* \(#,##0\);_(* "-"_);_(@_)?:_("$"* #,##0.00_);_("$"* \(#,##0.00\);_("$"* "-"??_);_(@_)61_(* #,##0.00_);_(* \(#,##0.00\);_(* "-"??_);_(@_)"Yes";"Yes";"No""True";"True";"False""On";"On";"Off" #\ ??/16 #\ ?/10 00000 #\ ?/8 "$"#,##0.00 0.0000000000                          @ @   (   ( ( ( (  $@ @ (8@ @ (<@ @ 8@ @  (@ @  ,@ @  h@ @    8@ @ 8@ @ <@ @  8@ @  <@ @  8@ @  <@ @      (@ @  8@ @   ,@ @  <@ @ 8@ @  <@ @  8@ @   x@ @   ,   (  $@ @  0@ @ (0@ @  $@ @  8@ @  ` 1998 UHU LD: 1998 UHU HDY Cost 1998oSheet1|Sheet2_Chart2&Sheet3!Sheet4x8"   3  @@  QR8UHUAreaResponse Time for H.D. CallsResponse Time for L.D. CallsData Percentile Data 1996 1998CriteriaDispatched Code Fourt1 to t4 is greater than 0(Low density =< 24 calls per UTM per year(High Density > 24 calls per UTM per yearRegionLowHigh (seconds)UTMAVG UHUUHU 90th HDmin hd90th LDmin ld AVG 90th HD AVG 90th LDcost per unit hourPercent ALS 1998LSR Actual Costs 1998UNIT hours 1998Average cost per unit hourAverage ALS Capture T3 Tmax 1998 Staffed Hours T3MAX 1996Total Call Volume (1234&7) Area (sq,km) calls per kmABCDETotal Call Volume% HD (>2/Km/month)%HD (>2/Km/month)UHU AreaUHU (hrs) weighted by Area Response Time Cost per Call% ALS ResponseMonthJanFebMarAprMayJuneJuly2= @p?j9aR!\Dw@w6wp`T0wp44`T0`@ 0w-FwLDwXwHwp`T0`wp``T0@`T0aw@LDw@w6wp`T04\Lbw0w-Fw@ `T0EJnnp߿0n\pt0l<Percent0]rlinki  0 y0{T0 y0{T0 yyA p00y 8 yy h"00 6A L`T0l@֜z0d{0cT0}0RT0llLz0lf%0` 0Q` 008   dMbP?_*+%"FA??LU(  v  <*M?$]  M\\HQ-BASENET\Lexmark Optra S 168!<X⤗Lexmark Optra S 1650}Lexmark Optra S 1650$w ⤗X,,X ⤗"dX??3` 4' ` 4' ` 4#` 4#` 4#` 4#` 4$@` 4$` 4$  (  r  0  @A 2 ] <UTM B< rr  0`  @ h]`0  <UTM A< rr  0  @ c ]  <UTM D< rr  0   @]  <UTM E< rr  0   @ ] (  <UTM C< rr  0   @.  |]  <Mean 90th % Response <d xx  6P   @3I]P x  < Mean UHU<- rr   0   @0 ]   %<&Emulation Zone ZoneBest Practice Zone<%3d23 M *f *vd @4 3Q 21998 Region Low DensityQ ; Q ; Q3_ M NM ] f 54EC3%  3O&Q444 3Q  Average UHU QQ ; Q3_ f5 NM  !!4EC4 3Q  8 min 59 secQQ ; Q3_ M NM  ""d4EC4 3QQQQ3_ O NM  MM<4JKC4 3QQQQ3_ O NM  MM<4JKC4 3QQQQ3_ f5 NM  MM<4JKC3% f53O&Q444 3Q 2Average 90th percentileQ ; Q ; Q3_ M NM  ##d4EC4 3QQQQ3_ O NM  MM<4JKC4 3QQQQ3_ O NM  MM<4JKC4 3QQQQ 3_ f5 NM  MM<4JK4D$% M 3O&Q4$% M 3O&Q4FA b 3O e 3*???{Gz?#M43* @<@@?@#M! M4% 5MM3O& Q L$Weighted Unit Hour Utilization Ratio'4% __M Z3O& Q N%90th Percentile Code 4 Response (min)'4523   f  )d @43d"  3O % M3OQ423 M )f )vd @443_ M NM  MM<444% R EM:3O8 QD&Q Y1998 Best Practice UHU vs. 90th % Low Density Response Time by Upper Tier Municipality'44 effffff?j?ffffff?ffffff?VY=?j?VY=?VY=?(\?j?(\?(\?\(\?j?\(\?\(\?UN@?j?UN@?UN@?eQ3@?"@@4@9@;@"@@4@"""""2@"@@4@7@"@@4@.@"@@4@e >@%%% Sheet8  M\\YKR-DC2\ADM_HS_1525G odXLetterPRIV''''"dXX??3` 4# ` 4# ` 4' ` 4'` 4#@` 4#` 4#$` 4#%l0  T(   r  0$  @> `4 ]$H <8min 59 sec Industry Standard<$\ll  s *$  @A ;%]$ <Mean 90th % Response Time<$\xx  64%  @"]4% < Mean UHU<$k\rr  0%  @=.]%@ <UTM B<$\w ll  s *% @ObY] % rr  0$&  @G 5W ]$& <UTM A<$\8rr  0t&  @/ `p]t&8 <UTM D<$\lsrr  0&  @_U ]& <UTM C<$\v rr  0'  @  ]' <UTM E<$\s ld  s *  E5 ]`0ll  s *' @ ]'  <Survival Zone<% 3dd 3Q  1998 Region HDQ ; Q ; Q3_ M NM ] 4EC3%  3O&!Q444 3Q  Average UHU QQi ; Q3_ f5 NM  !!4EC4 3Q  8 min 59 secQQ ; Q3_ M NM  ""d4EC4 3QQQQ3_ f5 NM  MM<4JK4 3QQQQ3_ O NM  MM<4JKC4 3QQQQ3_ O NM  MM<4JKC4 3QQQQ3_ f5 NM  MM<4JKC3% f53O&"Q444 3Q 2Average 90th percentileQ ; Q ; Q3_ M NM  ##d43_ M NM  ##d4EC4 3QQQQ3_ O NM  MM<4JKC4 3QQQQ 3_ O NM  MM<4JKC4 3QQQQ 3_ f5 NM  MM<4JK4D$% M 3O& Q4$% M 3O& Q4FA  3OE H 3*??#M43*@3@??#M! M4% eM 3O& Q L$Weighted Unit Hour Utilization Ratio'4% xqM Z3O&Q N%90th Percentile Code 4 Response (min)'4523   43d" Z K3O[ ;% M3O& Q423 M  443_ M NM  MM<444% OUM:3O7<&Q Z1998 Best Practice UHU vs. 90th % High Density Response Time by Upper Tier Municipality'44 effffff?j?ffffff?ffffff?VY=?j?VY=?VY=?(\?j?(\?(\?\(\?\(\?\(\?UN@?UN@?UN@?e(@?"@""""""*@fffff-@4@"@""""""*@'@"@""""""*@DDDDD-@"@""""""*@UUUUUU'@"@""""""*@e> """" Chart2  MHP LaserJet 4 Plus (Copy 2)@w XX@MSUDOHP LaserJet 4 Plus<d "dXX??3` 4#` 4#` 4#` 4#` .$h` .$@ (  r  0+  @ ]+< <Emulation Zone<!rr  0P+  @<]P+ <UTM D<%rr  0+  @(u]+ <UTM A<#ll  s *+ @v  ]+4 <UTM E<$ll  s *@, @> ]@, <UTM C<%ll  s *, @ N \ ], <UTM B<$ll  s *, @V  ],,   < Mean % ALS<E xx  60-  @( ]0-  <Mean Cost / Unit Hr.<m3d@BB23 M ̙.f .vd @4 3Q D Region cost perunit hour vs ALS%Q ;Q ;Q3_ M NM ] f5 @4E4 3Q: *Average ALS CaptureQ ;QQ3_4EC4 3QQQQ3_ f5 NM  MM<4JK4 3Q: 8Average cost per unit hourQQ ;Q3_ f5 NM  !!4EC4 3QQQQ3_ f5 NM  MM<4JK4D$% M 3O&Q4$% M 3O&Q4FA7F 3OV/ 3*I@[@\#M43*$Y@$@$#M! M4% xM3Og&Q (Cost per Unit Hour'4% ~M Z3O&Q L$Percent ALS capture (cardiac arrest)'4523  ( f ()d @43d"  P/3O R% M3OQ443_ M NM  MM<444% mPzM03O&&Q h2Cost per Unit Hour vs. ALS Capture 1998 by Region'44elKd^U@I@\S@2*ĔN@[@\S@<`HR@\S@9X@\S@{vS@\S@e@T@(\µD@$(\µD@Y@YP@(\µD@YN@(\µD@(\µD@e> (\ Chart9   dMbP?_*+%M\\YKR-DC2\ADM_HS_1525G odXLetterPRIV''''"dX??U} $/}  /}  /} m /} I /} $ 7}  /} I /} 7} /} I /} /} I /} $ /  T0@    '             0- ?-.--.----- -?-.--.---00 1?120-.---(1 1?13--2--011 ~ )8@? )+ *, -( - ." -) -  -  -  - 4#)5XД@ D D~ +$@,;*`w ?  D6S@68@!5.F-@ DD$6H@6  A6N 6@6@ 4$)5f@D D~ +1@,yˀ? D6@6K@!5zm-;q? DD$6C@6@6l6@6p@ 4%)5#O@D D~ +@,[פ*? D6@.@6@!5Y,3@ DD$6\@6@L A6t 60@6x@ 4&)54]@ D D~ +axA,D? D6@6@!5a})9@  DD$6؎@6A6†:6@6@ 4') 5r6@D D ~ +.@ ,7? D  6 @6@! 5Q˼4@ D D $ 6d@6 * A6D&6(@6@ ~ 80@ 000-2007///  ! ! ! !! -* " ! ! 0 4#$$`@68@6H@% C A$609:// 0 4$$${@6K@6C@%@$ V09:// 0 4%$$`@6@6\@%- A$> 09: 0 4&$& K@6@6؎@% A&N3 09: 0 4'$&@{@6@6d@%@A&6 09: 000002007/ ( T6""".rTTPPP>@    Sheet4   dMbP?_*+%"??&U}   Low  T0                                 ~ 0@ ~ 8@             # ~ В@ ~ @ ~ @ ~ @ $ ~ @ ~ |@ ~ p@ ~ @ % ~ ؏@ ~ @ ~ x@ ~ 0@ &~ @~ @~ @~  @ '~ @~ 8@~ @~  (@  .222222RdnnnnnPHP0(  >@ Sheet6  &A Page &PM\\YKR-DC2\ADM_HS_1525G odXLetterPRIV''''"dXX??30 0 3Cdd23 M  4 3Q:  Response TimeQ ;Q ;Q3_ ! NM ] !!4E4 3Q: Q ;Q ;Q3_4E4 3Q:  UHUQ ;Q ;Q3_ 4 NM ] ""4E4D$% M 3O& Q4$% M 3O& Q4FAeU  3O; & 3 bo43*@*@! M4% cMZ3OQ&Q &90% response time'4523  ,43"  @3O % M3OQ4444AeU  3O3 bo! M43*?333333?4%  VM 3Oq&Q  UHU'43" 44% Nz M03O*&#Q D Time Series UHU vs Response Time'44eJanJanJanFebFebFebMarMarMarAprAprAprMayMayMayJuneJuneJuneJulyJulyJulye ףp= '@K7A`?Q(@K7A`?&@S?ffffff&@(\?$@ffffff?333333&@ ףp= ?%@Gz?e> GzCdP P PZR R R RR RV VdSSSSR RR RV VdSSSSSS   dMbP?_*+%"w??U T0 0 -  . / 1~ @K7A`? 2~ Ē@K7A`? 3~ Б@S? 4~ @~ =@ 5~ @~ A@ 6~ X@~ B@ 7~ %@~ B@dJJJFFF>@   dMbP?_*+%"??U} I }  } $ } $  UTM  T0 ; ; ; ; ;   ; ;G ;G ; ;        ;    ### j? % B' """"""*@% B<' @4@ % B<,A@@@ (@ D< Q3@ D<  #$# j? % B' """"""*@% B<' @4@% B<,VY=?@p@ fffff-@  D< 9@ D<  #%# j? % B' """"""*@ % B<' @4@% B<,=@0@x@ '@  D< """""2@  D<  #&#  j? % B'  """"""*@ % B<'  @4@% B< ,H@@@  DDDDD-@ D <  7@ D <  #'#  j?  % B'  """"""*@% B<'  @4@ % B< ,UN@? @@  UUUUUU'@  D <  .@ D <   < = = = = = =  ##&>lKd^U@DD@T@6e  A#>\S@  %B#(\µD@ %B  #$&>2*ĔN@DD@#>\S@ %B#(\µD@ %B #%&><`HR@DD@\@L A#>\S@ %B#(\µD@ %B #&&>9X@DD@֙CA#>\S@ %B#(\µD@ %B #'&>{vS@DDaA * A#>\S@ %B#(\µD@ %BA rPH`0(  >@ Sheet3  %B#(\µD@ %B #&&>9X@DD@֙CA#>\S@ %B#(\µD@ %B #'&>{vS@DDaA * A#>\S@ %B#(\µD@ %BA rPH`0(  >@ Sheet3 _VBA_PROJECT_CUR"'53ٍL_LVBA-ٍL_Ldir=Chart2*,      !"#$%&'(*+,-./012345678:;<=>?@ABCDEFGHJKLMNOPQRSTUVWXZ[\]^_`abcdefghjklmnopqrstuvwxz{|}~90* pHd VBAProject4@j = r ! : J< rstdole>stdole h%^*\G{00020430-C 0046}#2.0#0#C:\WINNT.0\System32\StdOle2.Tlb#OLE Automation`EOfficEOficEE2DF8D04C-5BFA-101B-BDE5EAAC42Egram Files\Microsoft 6\MSO@9.DLL#  @9.0 Ob LibraryCEeThisWorkbookQ2TisWrkTboHB1m7,B,B["*"B+BqChart92"C@aru9cdT2H2M2d?OSheet3CCS."et3dUT4H4M4d[TT8H8M8dTbb 6 6 6S bF "Gxe?#7 (SLSS<N0{00020821-0000-0000-C000-000000000046}8($HME xAttribute VB_Name = "Cha@rt2" Bast0{000@20821- 0C$0046} |CreatablFalse Predec$laIdTru "ExposeTemplateDeriv$eCustomizd xed#7 (SLSS<N0{00020821-0000-Chart9Sheet3+/)Sheet49Sheet6.1I0000-C000-000000000046}8($HME xAttribute VB_Name = "Cha@rt9" Bast0{000@20821- 0C$0046} |CreatablFalse Predec$laIdTru "ExposeTemplateDeriv$eCustomizd xe#7 (SLSS<N0{00020820-0000-0000-C000-000000000046}8($HME xAttribute VB_Name = "She@et3" Bast0{00020820- C$0046} |CreatablFalse PredeclaIdTru "ExposeTemplate`Deriv$eCustomizd xe[T#7 (SLSS<N0{00020820-0000-0000-C000-000000000046}8($HME xAttribute VB_Name = "She@et4" Bast0{00020820- C$0046} |CreatablFalse PredeclaIdTru "ExposeTemplate`Deriv$eCustomizd xe#7 (SLSS<N0{00020820-0000-0000-C000-000000000046}8($HME xAttribute VB_Name = "She@et6" Bast0{00020820- C$0046} |CreatablFalse PredeclaIdTru "ExposeTemplate`Deriv$eCustomizd xebb#7 (SLSS<N0{00020820-0000-Sheet8YThisWorkbook02i_VBA_PROJECTy3 PROJECT)4w0000-C000-000000000046}8($HME xAttribute VB_Name = "She@et8" Bast0{00020820- C$0046} |CreatablFalse PredeclaIdTru "ExposeTemplate`Deriv$eCustomizd xe["#7 (SLSS<N0{00020819-0000-0000-C000-000000000046}8($HME xAttribute VB_Name = "ThisWorkbook" Bas0{00020P819-0C$0046} |CreatablFalse ^PredeclaIdTru "@ExposeTemplateD0eriv$eCustomiz2 a^  *\G{000204EF-0000-0000-C000-000000000046}#3.0#9#C:\Program Files\Common Files\Microsoft Shared\VBA\VBA332.dll#Visual Basic For Applications *\G{00020813-0000-0000-C000-000000000046}#1.2#0#C:\Program Files\Microsoft Office\Office\EXCEL8.OLB#Microsoft Excel 8.0 Object Library*\G{00020430-0000-0000-C000-000000000046}#2.0#0#C:\WINNT.0\System32\StdOle2.Tlb#OLE Automation *\G{2DF8D04C-5BFA-101B-BDE5-00AA0044DE52}#2.0#0#C:\Program Files\Microsoft Office\Office\MSO9.DLL#Microsoft Office 9.0 Object Library ! :eThisWorkbook 23911adb8*D["7 Chart9 33911adb8*Dd7 Chart2 43911adb8*D?07 Sheet3 53911adb8*DH7 Sheet4 63911adb8*D[T`7 Sheet8 73911adb8*Dbbx7 Sheet6 83911adb8*D7x`H05!P6!P6!P6!P6!P 6!P 6!PP&Excel+VBAWin16~Win32Mac VBAProjectstdole`Officeu ThisWorkbook| _EvaluateChart9Chart2Sheet3Sheet4Sheet8Sheet6WorkbookkChart? Worksheet  ~ID="{D524ABB7-ED4F-443B-A358-1DD9D4CE2ED4}" Document=ThisWorkbook/&H00000000 Document=Chart2/&H00000000 Document=Sheet3/&H00000000 Document=Sheet4/&H00000000 Document=Sheet6/&H00000000 Document=Sheet8/&H00000000 Document=Chart9/&H00000000 Name="VBAProject" HelpContextID="0" CMG="C9CBE0F0E4F0E4F0E4F0E4" DPB="4A4863F0E5F1E5F1E5" GC="CBC9E273627462749D" [Host Extender Info] &H00000001={3832D640-CF90-11CF-8E43-00A0C911005A};VBE;&H00000000 [Workspace] ThisWorkbook=0, 0, 0, 0, C Chart2=0, 0, 0, 0, C Sheet3=0, 0, 0, 0, C Sheet4=0, 0, 0, 0, C Sheet6=0, 0, 0, 0, C Sheet8=0, 0, 0, 0, C Chart9=0, 0, 0, 0, C PROJECTwmSummaryInformation(6DocumentSummaryInformation8(_10189525659 F zL zLThisWorkbookThisWorkbookChart2Chart2Sheet3Sheet3Sheet4Sheet4Sheet6Sheet6Sheet8Sheet8Chart9Chart9Oh+'0HP`t Bfield York RegionMicrosoft Excel@4ZJ@k.@rB՜.+,D՜.+,L PX|  Sunnybrook - Base Hospital 1  1998 UHU LDSheet1Sheet2Sheet3Sheet4 1998 UHU HD Cost 1998Chart2  WorksheetsCharts 6> _PID_GUIDAN{FFBB3612-21DD-11D4-9EB0-0050049B8715} c $%A? 2%cy5"P.s%`!%cy5"P.s٦{y6p(w%x[ytU}U! @b,$ BE0 ,=(2bJ"##m;\99O;nAW _*|_&9ww߭{{(8kŘ-hâ 0tc fAZC`shX6`ܸHoX52am'Z vY6)A9ZX(pۆB یA0f;d}fq{sWң-I- 4: x?mh> 6m{;j0vh!^V?[n X EU;~%WDq 8$r#UJvH8N 8) #K8^ 4iFZ#NnS0 a>Y L",Ԁ_S-v(~.sW5vQ W;Y3Q~$oqۣZVC $`;Z61kT-y,(s{[Nx YpÓj*?TLo*?fSAP\ O6*fc?]|<3wehXA墔D=" bmiAtxO@,HYJrM(D9Rˉ*VQLbZT}*֫oVD GDU%FrO-nq~#?[]t}X:"%+=踌:LVY~W2@}%r }+ugM۩=CsE/Xz.stE=CQz (՘B}@w]4,2xWFK꨼^otWU$>b lp, 5=:^ 'N+KC&Z7\3>1dviXe{ܴ KևGV!hM]Ћ.pΒeŞʒ%n"_~#Xo6%&jEDCԷZ El8_s:91uȞ0-1"R#q|ѝ1RLc/2F z s /b/e 49sh.Of 9_1X~vTCGb\[o|㧻{8ٶ_̷Ι94~%ʮ#k^gȘʄ`|sc쐛iXM֋yNzVaCbG< Ex_@7\)+(LTNS2OBebu]rR2u8YQBS0U+R0g907/dfdf2;7Xk}-֒u6&,X<aUm߹S?{jG b8 !P$<(uPćb$ EY$G$ȅ"YVrH2FI2MrL#d-el#Kwb/?-y\ /TyH$"F nghKR_RVRQY^A<O#aXQ mQmNa?3XX0X70ߐ|gQ Yj%'eqFzsr*NqrqYf2q"g)ȥF!31VPQKku@W`sEd4al>Hf!e4 D/,4L2h 6OʫNg5TGܤ\Y kCV՟fVzyʊs'@V# 볩L[OP~NuE;;UrJk; 8h<(vcd,ˍ*(2E7yh/wF\ntTH1P^nlNfL1af3wbyI0/"}o~U<`>/'0'"Ŭ̅"Ҝ/y| _ty۰b7S̴$Otfy9SxQYǻD۹leN,N]RIأw1k FMEuznN1v,:%d/zG&xָ ?4Td(2(}(b%P.q4&b~}_=to`TD* 0ѿ*o/ 1=|8_txײAqtv~Y[Ζ&ľWh\=ev*1\(>im2Hmjl*dZ \fɡjԢ=Q辆1u'OJUS5KGx:5"Ơ?4Ȓ vAa;Y_:k(d(KZϥ#=excv1[vZiIgrXm5;W bڏ4#n?%>$ΒRuՋRzRFPkij Gt O@^~Ɲs#WyY}zsj: T*R/9D=VUj>ڙ'ʀ<zqЏ O)aޓQuOJOۨe5q+[ϩO6 vZb}kDzJ>;P /7=7k!S,~ y+8go|Df}xS%_Ѩh|shV:)oL樖Ĥ@468&:NJI`Vf1VAj?Nd'Cxkqp{+u4_f_au=i8Fs)-I /9 X4Y<ȋ| h*S!;g?6s RumUW ?) ܒTS5B>TMywlS [G 漣N@"xy*xi* H}`lv|lx1 (yR'8DqѾ $u৩-BdwRPk~ )ԑ1m{]ws:'>d+6BƱ>t`[Q3];zQ㛨^N7/?}T_*Gj'r"EWѾ :{ZS)OZ꿵}t L$*i/b>Jy.-D}m{v6O߳'cw#tUïJjŗP;^F|%ٔ'PϦ|0 )4'Hޑci:OYܟ<|O30v&kj+`s4?H|S(DҀTvCYgϫ'b1ױqN?Nq- f\vcxVL_'[tDh |o?&*Yn!7oiYp_C}x-RЦ`U=pKRT}Wޏ/]%_mNGy9 Eh2Ag g>@fuGz6t6$X.HF.0tG:|K&"{]Dd2 t ^HB$Г`gMD;^˓Py@OBd؟B^/)4U4 tӡoa0U @զS虨"v؀p=B`-Ѽ6A#W|蕀%_A#FªB,D#2ܷTˁ:hȣby%KK{t UXb|1 XlcPB:u-,KtXW,%͇*Vd>i@tC]^NϷtd7IZ@; t,~m{mۊK(V> 2U?.ߖsM;rᚇ۴7y᠄<yC ձwշ:'6E17a̅O̝4ʋs 0i քCuч]]~ :'7{qK7 YP=.;z=ޗ.ܱfۿCvlʵ`M纩 u|㮘-9j[ہ(};}Վۘؼˇф<LJӛuҡw].Bo Յf.;}vDρ?wnk=zt 5@X : Ksƍb] k2βqq5<+\< 55܏8tw5wL]rg;'mu7@Q8欩\v|Ս7pF6sY-z2Qi'L{W=гƨ{4,w^9\Ez3[q]]r{~#o[o5qFGQ~O5䷝G8(Sۢy~۸ԦmE}n~o緕JqFkQ~{"f]?㌖~Oۤ=i.k!tQ~tm~=\8BEݿy&o5ob~=\8BE}T^Kߔ7e#d*ﶻAMz~\8Bɢ}..1rg,m6pY6z,Ӥe300WXc\z0.Ֆ;V̒ Zq4'Ac98HdIsjgg:v70uzrZ'Zc~@I#~HU刷y ˄=y@xN1qo  Yzl%O~0( +|% _=SfMFYYi ]NW+J8e}3 &e[ӭ3ҭ,AQ@*wUU >]~nѯ0 Hs;H|KR(oNg (oo Kys]Hy]#JJH3]*.et)#]FH|'f>E(Fye.U5hdiiFicƣpz_jɼbrҬyJcϛ@3/4NyۄFN/呵 %,NXu=PѶ"a~ǵ {Zٿ- n_$yCɿb-?*u(q=Gp$~9uwINKtN ~^ <>woxK3$p{C]~]8̻gG!5vQx0_kK RGhI2 fb w{ŕ8`d5W!I/>grt/:[ t#y(] {úB_[gI Fzz}R~QJQ+u"J.q+v$giEW rM-;8v˜|M2xy/VN}-; Yrw- YrÖ«,+aKBܵ{!KzRx %wo২HJ$\/vg#;"{z_RSs5_$矅,ߩ )po1|^G}2RfHH/_q R~A^{I??]ܬnV+7>u^d3QeO0x35ǿ UpgTki"cٕ% 8 7}~~^rh0Gx~zC;꼈cuR䦢dyqQ'+QWN6_:}e:I.ޅ:E?:bxVD uuF*.x~)K y[]^QjvKU=w;osW9>nmu73vs73w;o5OgvEKi{!?1kv#>$gcGx21TGU'y'lJ *g^}w&r}]0m* Lra\C3EUowK;&b~3E z4GRM9ڣxg>ԍ/uί%˪yM%3*WeN]4eV;fw:wڗ89C  wawV;͐KW3j~5u>Oܯ@Yܰ[w5Q.^B}v3LB^dExoubg~c#0~#| " M1DFNGw+u>!e+1lP(U|a.wOOTs'ZuEVêY~W3y O0|0cqw ζ >wG!g= O@ Ӑ>zpd$Ip> 1p'>ipo1|މ/#e?$' 08^{ ~ 8F ~8B2c 7[ډ-8 B 0pOxWS-i6p;>-k51|~>?3|qȏ;}ׂ G|ϐ $矆4C > Ր0b22{:{9o#)=9 qsp_v|t FbA.`/G3'4 d1}XòGuJF)ףE"M>g؇WͿ`S*EfDd- B  S A? 29hsA=#T<"t`<`! hsA=#T<"tɐA,oXPx͜lםߛz!sІҘL) v 4T8^hk\J#`@K 'Е* mwp -H$"Tp; J" .@}7fڱ z~oޟߛVJ%~VeC^T^6R%<텥޽N$P[:3p-u2Q3$y1|O+럼|U'uXKTjڽ#;jR]z2 V'r0/LjvGu[8u72:]uPyѾU"p]^E(Ejzͧ7^^^^;*Q>z{rzU3rƕdՍ';ќ[vmXO^ -=UaˋCd0]}CO:O6-y(ZL極Ouvajج|}V^T ﵉ bu렷jzͧ(*M,F>z{rzUѫg/>?3z֑:z{]_yg*ѣ/%bQtˊYaN9qߏ5W}(QVՔ!c}TGW:ֻ \w*v5UjQd鼟z$+grwx^rRN|[~_Jwқ4.gTs[O=꽥ܥbe\Nn%X5]3«e1-qWIe2Ʈ=pFC{dWXw%8U!lcmmpF!mcb3Zc烝h~H#;+[hVHTc}Ѵx; l 8I!QB{;w=v48Cb4ّ1v$8!"XuU~\#>}df}3:gɾc6!{{̬OpFBك1Yd}f}3{Ⱦc_5ѫ! ٗbKf}3z)d_ 5n5֐}ѬOpFCv=gb3f}3z&dWmf}3jFKb>- d Gb#f}3z$dgRJnnݪl;{KvB|&G{v[ڀ {9gs?PT3&K9y5lrUwڛ4.w*70DNߐrotu{)Y 3gݻ {A^}2nP?z{߽S;]P`SރRsGg zGMj\|]Hlײ d6kp-Bl5"eא@vM"e7Bv m"em'Cõlٝdw%Zvٽd/Zv?.]|=D(٣|=N4Έ|=Cs.|@ +ஊ|J6K6 .5Z6Jó;(ײȎ!;XײcɎ';\ȇkbpe"eȖ-W!Zl5jpE>\&[Cײ ."\ȇk:.$Zl+Vpm"eȮ#ײn&ײ[n'\ȇkv;SõNWõ^d;u|"&7p-{I'p-{{dwNõ9^wEõ^p-%[@ME>\.VDײcȎ#;xײCpײSNW.Zl%Jp"e%;\ȇk .Hõ" d-p-l p"e[ɮ!:ײn" fײn# vײvCõ[õn)Z!)ZMwRõIgȞȇk^ {Eײ^%{5ײ&x#'ײv%; \ȇk" nȇkqv%[ ײl)"elJײv%;\_kwP -!u؅v%[AaJ \öl5"d7$B받Jv m"du:lAKaw^pEvAv;$B밇J("{dO;#BgJ "{d*BWJ6 .!u؄c ndǐnÎ%;xp"[L6C6LaȖ-W!BdV-B밳֐@a]Dv:_#2pM"Dl+6_m#:pDvd7"B[n'\öAv"n!uؽd;v!u.\WS3;Ws/~=kdj\yo{)k-C{RmHMysRH5 kVeEWHtzeKI95'W<\,# y5!K)pP^. Qʗ2R/yZrԩ?W߰PNyR\#S=G抉27/O7ks̚rNJykb0z+Co 2Ǜz;;)xowMq oIM/] XZ ތU'=I%Ao3:䞎'=?陾܉\̿`eT^ldԽ%о{\s}(+ڌ؍W$0W懯 :7?շ_o'9 Ssh9,T\v܉WWNWt u\Z[mnoYqKpF=9kn{gNwIC?DAx{~VsE-}:5JoRRш%&sg;npَܿT8 bTbvƢdKR|l+[Pnz5ԼFWXG-RgQi;p [Tlr@wr\ƫoMǫT(ru!W&߈(cl9 QeVTM,QebK`jt1f\m,mmNOxxe}smCEQ%y*Đ Ba%cyɾ`="f2"f~ˆ7BuF ̾Qʖ-cɍ}*-[30FU([vK#b&"L"b"9""ȤUF~I3J2g1g6WY_n'O}pE5R,*M>66, 8p@×T%"MlVV7\{'* vUA^u,龋E!Tݘ6HU-!^h{6Wrz\re_c!c}ĞW~N职Xpz=5tӇU]6==AғSCG=ɞv_I}B FO/'[?=5t!N}RVq :!4]>+[pyzW4Zzjhsϙ+4 kh}B?B,C>r{j|Wݽ#_ɸlE&7D2^o6G Y\?RrvADd4 B  S A? 2STbe*^%vm'j&a[T]SucU;c}666J?xR9o2V5]XgʐFRZ7יisxhgu*ؤꊅplp˪@ި:р猅O,5zʶlȶl6lVB-lA)S6S*۫dNd[Md[@dJq)l!=dE]d˴VNr=Mvlˉ/}Dod%e]]4V]Kj}$ˣgN/mu~z|tod3ct+%΀x3+ н;ygqtm,Y6cu;[3^>gZ=;m}i]ꥒ)|G׋fWs)&ܜoޓ#VhUv7J:^=0\f#|u7YGl`f78MHZ] PJv v9ˀCY.e6l1P$#^*Pls v.C+ĖlI);bPH"-8";`G;8QN 2Aed60P’ νl;?B%q+p($qVm8p(8N4؃@$`8Kl68fI$vv+p(;T>&PPKZP6%vv9p(+U>lp(%`k8ZVl%sCTK,lp(T;`;8i*z`o8T;`; 8*zfÀ06e^b{lo`VKm6[E/Se`|rFGm36OPԳ 'p(${{8Ò=Hl`|9``|G>kb|dwdM4I b7FOP6Jvk v 'p(jd% v'p($ 1a|l-U[ Jd+m1>C-YĖl)'p(FTnͻjJ^- gá<'k[|dM'}Ľ'\!k;`?ӥy'zoY~}s^O9~#K'gW0jե 7~3_z!xiuDG=;o:o>N[MU"Y:U8X5+&af'm;ہ+$V%{_H}ψ 8nYn)-Rl.pW UW;ؑ UĖ[ pDQ[$!jviӉ\X5[F\bfG}5U -'v9p UIHDVbX5 i ^!jv/i㇄DC%(pDžD㤝 p_ U_):B"`lf~!jbnX5;b ($VN$v*S+fKMl*D bX5#vˀ[!$Vͮ ;B"`Fbm..$VƉ}#$V!^f_'bX5{؏&VE*5xQv^ԹN/ "k򍜟?GE2CesoP Snn1;;^*G杼okdun/Fe&{u]t*9]ȟKA֓&y6]RqWn~Ml$՞t e?7Ś|F Y{h˳K;Wa$fPU5m[R+^Ǯf䁞G6,$t6hiSeЂThE)t`rMpb|Zohf61@njg9fmFq";x67v"?={|{{TH!QҞ") )]H{kRfIKo`ݾ1*oL?ZWQu9ozoOF}#u[`~:T~x*.q '4ЧGIq '454o@{L]ͤ%T# DO6v|Xhӊ&\[=>t<vƟ߻hN'3 cvq]jJ<|{ؖN'ٓO>-.qe*sbП#+5|~]y1j@˜2wݺU׸5oXѷB=9Sk--u+jUf{d H[J&fI uXc!k_JFCЦG+jԖ /HumQASt_KoC|-{SK:vQN;x<񸎝PXj&Ss߻jvbM^$xH|tg+AO=SҗbG6Fzwo!VtҊUN~;$Ӟl}} %d;QRUIo{kad)OFHxIgzr7to+()Ҫ7wCzq-fہn{$%Pf1.`޽/}޴&V;mV.oڇaӵG',kh}oEN$uvqO uLjkzvX 4y"g)~\z{VZF$`tMInO,ps6K{^I^S q^1Z>N+ɕϽu?wMb"Fkp˖_}Bښ¾C0.d`?1^I;33Æ]lGφbD_DdP4 <  C A2 \>ʫŸ,?1A!p^`! \>ʫŸ,?1A!Dn pPx՜pTwBp@R F 1@P)P*"oIp%$19đtL08Sfb 5iEڂŁ2M}w{K.{o߽ g)y<Y[Fn+dEUO,, 1ÁXH{N-9h+w\6jipCIikIņrV# W,W[cd{HeL4ҿ/)Vx7'quUcV *#CO:yr+OtUwFȻ}rs1sj7j|1$;(\tj%_ΑkjӹZVKwMVܕIJ0G)OD~=̺+nϑz?4CɊΌe_;^[zÝ(ْf6sNVԳέwpW,cKϽH%hk^+F5rʄ!tš`5{P"P5^ZFܳjF{׳yne/˵>KxvݙpC9׶d;IdI:ՑldC9dOdδ:Ӷ.ulmdNd!h9*zLy2ƘNmVjQnm[`@3nLr5Xs}Fs\QV,.mRvl'ɶl;VG:ls6l6lיYsUۺF6m'vՐl璿4'8Fsmsbh@ d{lmжqBBd l?sП/|퉕4CdzֳCP4%9=^>~ bgw<ȏDZ7ʍ\t,v؁5zZoh G񇆼cm"zĿYKB~6}cQxW aUM`{OhO0}2Mi llFNu!ծĶl+C*0 >P͊Gl68Tbw` nՠحl=C+v3[ &PDlV[ReĮ15ZbW `Zإ.4؅ZBb\`gl Ol *OĎ3qb6 8_iz ,U,#~#kQu pMh^"pKHy=lp"8Yv{`Obۉ=fǀmuL4؃6:fbwn`CVllpF6`[jb뉭3:`kC)ؐ*]g]jb`W8JŮ v.v!pŊ]H|\P;ؙ;P3[@d lptY`-`;,*K~b 6X/pdz7J]5{`{ 8^0 uA{/ gCKlv{ 8T^bO `:{؃k%vv7p}{a;mT{j[j^b7f`CmK&l8&ĖlCi%`K] D{/K v)C-Kl;8T^bgl`g|v2p|l.p\lYrfi&JK,3Xu(Ŵ2^c5OPub/EOP{.Bեsvl''pNvn{VmEժ6l3'pf#`?C5)v ۀ A[7zOPLl֢U&bk .%|m6h?ӟ>D(q'x_HB;l*,)ib;Fwy? y٧2{+@j{g,jdƗ4{z+)o+i wDWDJ"$E}k4򛇜B>.0K,(%zh?{Hِu-wm'=C>) Vد lzhGy VMhbG7VˎDb'w Vb=R6X][R6X]a=N겫)VAlplF=O(ee_ľ kR6X]5!vpoJ`u7)v#)v/eeߧ'~gR6X]3]&2pWlUu OlOHّeK`ulbo&f&I`uI vpwK`uٻ]@I`uEK`ubb'l>K ee_ %b_). ; ^).C V=J1 n~߮gxW\O5ѯeS+þ51W$&B8-5]ON5ku_:d-*] XJb#d8 b,Y}* _dnSX5˃زeSSYu-Š`Z(X\lWKW8ClCNH m8%]CZ&ĦZ<:M[Uc- TAQhcypu j.P9$HiRrgp$z59*!/UB!x[1`J~>%㻓W3~SzT-5:3Z&:+Zr:-?Z:uj:uZkLNzVFC:5j_ZF'ujD_04,]aKK3ttTʴȔRzSR8Nq_8)=YSzsB1i%q'xXHPBly v](ZV Ye`YPZ% gORYg|˧@tjnw}/`>߽ٳ٣ ~^ope@LUk^ŚUy哌z^{7u+VggsY`,cL=ؓa=ydO3A đPb5әNz:;N"]lo̻aWz8;)l6z&mfvI`-~؅(\9//\aQ}8Ygѿ|?G Bɑ# UWv;Wu"QShw REwٽĶ!"!bۈm";״倚_J=}0p0X(}*PU6`gGh50f(b?{)!r<)I`7VA|帟s?p-R -Ć}13j]b#Ǿ^.96eJWI+ݤf~}#on9w#79'r]H!χ_sܨ}NWw%cUGu=wl">[νaHMԘOc>Qk/a{|̪+.%6";#" C|BE2InP2>|Z oqh$~$wŒbvkEr}Kba{2;w7a>{owgV/@ɺ3KkkLsp~Ҵo:[5n $_5Ŵ୓=paB/3WUi/c<,ޞ}H.G~>o Kp{)d+0r|ϐ MɃ^~t4G'7d0vhmopCR<aAxqu7.^lqx(h.i0~b_Y)}rb"Si_i"o@Syc:7{ x:3o.I忠µK8p_rt OvE]g& cGfW<;<|I0~9ڏ籞 K@|7{odurV))OeA|4=k[&VNk….!+*"O uX<!D9\1@ 1^Ƌ \+BblY؍7,.#zD}Wܝ}Srt)y9-y/‹y*99O^(߅\ /RsTH^7x-s9-{/ċŹ c? Eqn;gs٩k_wvC'\;iɚ7w-漥T׊?)WgqQ}A-fpMoC1pO(t 4UNpC "S1Y-4LC2VIC G!ZfP@MH  C ³~#huءg(zYzotNw&|ݙ7?c5TŪsqJl9urB$ #XZ:dK2h!FڈEJ N Rf$ݑd&F+AHтQJ1+sXMsd tFRiiNMҘ#-Pu(9qo`6Bt:I|T,h)8I8wp+$dtSŸ9:18\5ڒkF4)c6'-H}i`@bͧ)fbe$<IJۡ9jOvbk=[Ʋ!͇1KXeo6>A͆m,Vq Ig`$h@4Rj6#[ഹWaif0e0l#1'sf RN!e%r[)s~ u78 hG6.cˍHK6n/ |p|-Rj,O7`0at2QOD'0E VD)m) :P qY/co.S16>N b$c;1L91~ɐzCSk"pBCkW3 ZUOv#-aywް_u[{!zG[hKW'Nb]`:ζFѩx:JAV+ŪM#h+L N+Y?ZMˑ.צCb,#A<Yԓ=CfAeyF !r A]kNw#_u7 YkT=86˜Gc~"qߑY:2NE>d/]co^ cA;IgI,=^*1P?i [Ҷ $νO1=r'#9$FB<gyF3 <%C< A}R<7Kz1Ts518N"2 g.Wzҝ nqHwGQJGSI[{;pCp.5CIw,҃Gt=~mQ^D7:{!]jgJgٙtFktҡwG;bbZ:ojy܁)7kL~+o[I=UUz |t4mlEgv^:חZ r(}%ETPn%%*!`!F A@ ~LD01)ŻH4g>;7;N{=3LgzXb,R \JGT>n cQb{R BwaFw6(c8 {`?/..޴O8%0l"b.ƒδOSp'vЫ0N+bqu'':V }$Ŏқ;Jț {;Z|="ϖ*v]DS!ϔZ<>k/{1ztIwyrdgtij~SoN[$ۑe{m-T2͂Gj2^/E~^!JWS7hѥ6=Z]t=z7m^瘆pfx=xfC8^?^ƌYA:"vDU맥?ˢZ?x+1G䯨^QׯXGop6·D.pG9gU2uq-}҅+ӏE"1Fğ(_6`6hDxlsj6T2ud*O<6~i%nR2"' bVopfÏy@yG{ē OA׼φW'P7}m]s\Gx8˽E 9[37o%DfqW/i72YCL>h;oϲJ Xnzr:u]mZ Ya,HPw#l =2gPQ??M,xSF?DQ:h!xBr"Lulv4y_ Eѵb@>/@qrb^jyFg?;x~;7!>0-Netq58 /0k]ˤPYTO\]TiVs"C~&4/ib"~jz}a[]׻I $/vC톔ےR+)(lۂ2N J!G6U)яz΢QLt^ĠďGiD٣4QQKe" ;eZx|}!;;ݐw!:xj;-x3nVᑇɫ,ݼ{Eu_>Q~W[ڪ\ rp7-?5m떷y\J:S+^8*sWDl_yPM)'3D\ HJYI ׸*qGzKa#JSr518:ЊEF2|VI} @eOSɹϫg^7@?8𢽩,GryJ923Lge>Mm,XGw8),O,%|#Wv9Wɉ(=|fxYŕ`Iya8NBsyNuqƻ骵k.%@.TG80kXY}ϒ F%s>E־yx"_냮~dY-uUkG%RLC3EZ, =Y䒅bы$oaF>w,²ܐeSmmP,LJ ^dCyd}YX6(~RF=9|*&3t2miʂ&c|*BS93*ug@#p k!5U_iWHOC9!hKQغR*BDRB5DRbyDRu3K5JD,UHC~*Y,\#c5.cWUTy5@US%Z#^~*_,Z#^~*_,Z#^~*_,Z#^~*_,Z#^~*_,Z#^~*_K}]w&2B/>hwnpWП{ ë7JjbY<\%sTVT}*";9ٸ=7&*^cgc"N@^[ AP鼊Of&d!⿥ҙg?r&WOT4^^C/k4VEk"/tK;]JoZ9IOljC' 4CG#*zq y݁z@//>(0Vݢ~dvKZs.v0^5uH磛Œ#j~%PJJvvm]cVi-у+AV7%څ4. K ޅk"ƚX~dg~!^k,ϊ +|]y' /7]g:)wvXw~/#s==.GiOZӶJzTӆK*\c9ۈ>#]d\\Vr0#5*fO+FT'Gc4 GXvh;TjrlC >S t ֓<#2&,{ڦa=1cM*j,_(L͋{Ū8YZӽ.'tKxmQ]L~WOy]ǞLLÊ-1{X8S ~gl $w/ayu0?h>`vM׶.HQ)'f/Ɏ#yIZf^w|юQ/4LFGд,;JvTvQ+mKtaɱ,5 7Hԧcԧniъds:TOJ:T24U (}Tu̩ډA'~Ik 0^:l1gky1Tableo<'CompObj8;hObjectPool zL zLWordDocument:< [,@,Normal OJQJmH <A@<Default Paragraph Font ,6Nl $*058>CINQW\bgjoty~      !"#$%&'()*+,-./ ,6Nl $*058>CINQW\bgjoty~  !"#$%&'()   2} Dl212,2$7U|*9qux5@01(  r  6. B  3 -r  6, B  3 +r  6* B  3 )r   6( r   6' r   6& r   6% r   6$ r  6 #  r  6 "  r  6 !  r  6    r  6   r  6 r  6 r  6 r  6 r  6 r  6 r  6 r  6 r  6 r  6 r  6 r  6 r  6 r   6 r ! 6 r " 6 r # 6 r $ 6  r % 6    r & 6!  !r ' 6"  "r ( 6#  #r ) 6$ $r * 6% %r + 6& &r , 6' 'r - 6( (r . 6) )r / 6* *<B 0 # B 1 3 B S  ?  !"#$%&'()*+,-.1  t0  t/+,t. \,t-( ft,%4t+4t*VI4t) 4t(4t'%%ct&z%ct%V%Ict$% ct#% ct"%St!zSt VSItS tS t%tztt tt%tztVIt ttc/t/t /t /tR,tF t M  t T c t [t bt jN t| V-t| ft | -t ( t -tfY t09;SU09;fg~@LP@GTimes New Roman5Symbol3& ArialMCentury Schoolbook"qhd#Efd#E!20 York Region York Region  FMicrosoft Word Picture MSWordDocWord.Picture.89qOh+'0  , H T ` lx1.0 Introductiond.0  Jane Stewartionaneane ETC-Reportt Ron Gibsont2n Microsoft Word 8.0@F#q bjbjt+t+ AA0]#"""""'#'#'########$$&V#'#'#'#'###"""###'#(b""#'######"4&RﵿO#d# Data 90 th Percentile Data 1996 vs 1998 Criteria o Dispatched Code Four o T1 to t4 is greater than 0 o T3 max < 21600 sec (6 Hours) o Low density =< 24 calls per UTM per year o High Density > 24 calls per UTM per year Region Low High Low High A 1204 607 1159 720 B 1639 1503 1500 897 C 1019 672 1118 710 D 1351 866 1382 893 E 915 743 916 709 (seconds) 1996 1998 /079;=Z\df|~!%'*,02359;>@DFIKLNRTXZ^`cefhlnqswy|~B*CJOJQJhmH nH 5B*CJOJQJhmH nH 5B*CJOJQJhmH nH  jUmHP089<=[\ef}~ !&'+,12      !"#$%&'()*+,-./0789;<=Z[\def|}~ !%&'*+,0123459:;>?@Dd245:;?@EFJKMNSTYZ_`deghmnrsxy}DEFIJKLMNRSTXYZ^_`cdefghlmnqrswxy|}~K}~5B*CJOJQJhmH nH B*CJOJQJhmH nH N N!Q"R#$%SummaryInformation(=DocumentSummaryInformation81TableSummaryInformation(@Oh+'0p  , 8 DPX`hss York Regionorkork Normal.dot York Region2rkMicrosoft Word 8.0@@'6ﵿ@'6ﵿ՜.+,D՜.+,H hp  Regional Municipality of York-1  Title 6> _PID_GUIDAN{5A555034-21CE-11D4-9EB0-0050049B8715}ff1T3g넲8\`[o<ƅ]vU*S]5dqD*^15NVQFʍF*7t tC׋ݢn,rvwA /N_\SJѨ^9637xgy̲0@k7GE8V1^JUĠ*,XuZTT7rRZQAfU΃t>KjB ,]CzzR-n1KÒdXdXJ1$C-bX ˙ :$ JKLTTL6j#SR :TpjUV3UR<: %Dd qs<  C A2up[uzQ`!Ip[uz 4C_ xoU:q I mV\ (HRE je "X4?d#[RD8K@HH{o筽 EμpğIT#~t>ٔ<#Ci)oh|(_f~:-#Es$Q 'ǿ/S0:|oS^gʐ?ۧ›^ O27"Bq f53C<닍V#?Q;Agv {F)ϴ!\+ ^듵T>)(a}/I}M NfۼlM8,ʳ(wo9VesA2cxX^AC؀ʹHdVSTLDkuu^ZyfP\%tV?|~4"y+TU߁oQV ;k4,3X/ՏߡNw}ӥ Tʳs4Gom6m}lֻ[6ƂQ =}" ]3+ZMT8+{p"r ?3e>gwXEasٱvi˯3jV"3djU/tPyBUu;,JOCjj Rk%tH%RZ8RZ$=tjuhY޴+5{Cv[jWHWTEZ-SCi^Qq?;ŪV\?qUCUUuGU0jZ>ܪ1R|#V\Hr8~K[ʆO-#y2Fjm˫mao#vhyH-U(a=RlI,٣nl/L=*AjA;{'O]Ɲw^|ކ2*<r!G83(E5]Q{,KISۨṃe@5Eյ!>6 hڄc-{ܝޙ)wrd;3g=sotws У >F)p6Ҩ7oLtq]D@{x(wj LWC>lU $8/E} oLw+(`@uuqߪ׏SwF:5ўY$L]U$ ( )0pC-Cfh MlD ܮb PܮnJ۳;8Wqj>7t-u[HΗp|-R -w7v[ehAg>zW[.qrR E6 e[1". IX)}w}'EAD˭h1nE}^ZQt욖.q niDJX lh;RqhNj(.--o0S7qڞ2Z-ei"R,U#Сg/Y(d8S>8qmn7Sl"a6#ƬYs֢VzHaeR&c[c+ܐDb/8_?eVZUI#yNkjѾCHV)]M<| v:"safkv> Ŝkc."Z?[3teɑiq,N& -rO@KrAE91JPf]X3PZ'^]M|&C,??}eXyXkJ?(v~ e%-rjQYR ,LKKc<;QT-L-(}4_ t`(&P v;{>_4 ӽU R[{g_-L^ιI$24f}[" s7_%SRҶ1%/_;3S5iJc7_Ř {{As7N=#Oi71&b7x)( {Mv`ҘL^cM&:p:sPgw`ҽE1ڽ8.tvŷƠv<au/9\6 Q}@)!6@SL@SL՜.+,D՜.+,P  hp  Proctor & Redfern Ltd.aT1 1.0 Introduction Title(RZDocumentSummaryInformation8@CompObjj _PID_GUID _PID_HLINKSAN{F2004E13-4D59-11D2-9F28-0008C7A0AC6A}A4 l\rOMBI 2C Logo 180D_RGB.jpg 00000A39 Work Thing B758F5B9:l\rOMBI 2C Logo 180D_RGB.jpg 00000A39 Work Thing B758F5B9:  FMicrosoft Word Document MSWordDocWord.Document.89q< [N@NNormal $dh p@ @@@@CJOJQJmH Z@"Z Heading 1$ & Fx@& $ 56;CJOJQJmH 8@8 Heading 2 & Fx@&;<@!< Heading 3 & F@& 8>CJ0@10 Heading 4  & F@&0A0 Heading 5  & F@&&Q& Heading 6.a. Heading 7CJ22 Heading 86CJ2 2 Heading 9 6CJ<A@<Default Paragraph Font22 Normal IndentJ'@JComment ReferenceCJOJQJkHmHnH::TOC 8$ p@ CJ::TOC 7$( p@ CJ::TOC 6$L p@ CJNQNTOC 5($ & Fpdh@& $ 56CJNANTOC 4($ & Fdh@& $ 56CJF@1FTOC 3"$ & F@& $5CJL@!LTOC 2"$ & F@& $ 56:CJD@DTOC 1 $ & Fdhx@& $6CJ&&Index 7p&&Index 6&&Index 5& &Index 48& &Index 3& &Index 2h" @"Index 1:(@: Line NumberOJQJkHmHnHR @RFooter#!dhx$d(d $-OJQJkHmH N@NHeader"dh&d(d $-CJOJQJmH P&@1PFootnote ReferenceCJEHOJQJkHmHnH.B.title $$5.O!R.header1%&d(d"b"footer1&&"&Caption'5&B@& Body Text(8C8Body Text Indent)h.)@. Page NumberCJmH`I`Message Header&+8$d%d&d'd-D CJOJQJLLBullets+,$ & Fd p@ ::TOC 9-$ p@ CJVOV Table Header .$d< p@ CJOJQJ4#@4Table of Figures/FOF TOC Base0$d p@  OJQJ.U@. Hyperlink >*B*phRQ"R Body Text 3!2$&P#$ / @5CJ8P@28 Body Text 23$ 5:CJHOABHStyle1!4 & Fdh< $@CJmH $/R$List 5h(2b(List 2 620r2 List Bullet 7 & F666 List Bullet 2 8 & F 6D6 List Continue 9hx:E:List Continue 2 :x8Y8 Document Map;-D OJQJ$6B$6BEuփF|2L-LaLLLLMLMM''999999LLLLLL____aacccceegggggggggggggggjX }.jmop|$ 6Mj}~|DWIFLT;yknrtuwy{~ :?Rgm^~EhNM4̳"lqsvxz} 0LN9UWJfh " <?p/2\x{A]`> ? ? %'.Ly4LN0 T%T%T%T%T%T%T%T%T%T%T%T%T%T%T%T%T%T%T%T%T%T%T%T::::t-46?FIRY\j!!!!t   ,R$rX{^Rfۊ"dEM@ (  T  C  N  3  N  3  N  3  B S  ?(  ,  C AOMBI 2C Logo 180D_RGB.jpg 00000A39 Work Thing B758F5B9: ,  C AOMBI 2C Logo 180D_RGB.jpg 00000A39 Work Thing B758F5B9:8 )pm t  .t(`'htX(tj tpt _Toc481933893 _Toc481943551 _Hlt482434536 _Hlt482758764 _Hlt482434404 _Toc482434357 _Toc482434358 _Toc458251441 _Toc481933894 _Toc481943552 _Toc482434359 _Toc481933895 _Toc481943553 _Toc482434360 _Toc481933896 _Toc481943554 _Toc482434361 _Toc481933897 _Toc481943555 _Toc482434362 _Toc479987745 _Toc479988954 _Toc479992133 _Toc481933898 _Toc481943556 _Toc482434363 _Toc479988955 _Toc479992134 _1018944395 _1018944466 _1018944570 _1018944582 _1018944665 _1018945216 _1018945281 _1018946489 _Toc479987746 _Toc479988956 _Toc479992135 _Toc481933899 _Toc481943557 _Toc482434364 _Toc479987747 _Toc479988957 _Toc479992136 _Toc481933900 _Toc481943558 _Toc482434365 _Toc479987748 _Toc479988958 _Toc479992137 _Toc481933901 _Toc481943559 _Toc482434366 _Toc479987750 _Toc479988960 _Toc479992139 _Toc481933902 _Toc481943560 _Toc482434367 _Toc479987751 _Toc479988961 _Toc479992140 _Toc481933903 _Toc481943561 _Toc482434368 _Toc479944387 _Toc479944426 _Toc479944509 _Toc479944617 _Toc479987752 _Toc479988962 _Toc479992141 _Toc481933904 _Toc481943562 _Toc479944388 _Toc479944427 _Toc479944510 _Toc479944618 _Toc479987753 _Toc479988963 _Toc479992142 _Toc481933905 _Toc481943563 _Toc482434369 _Toc479944389 _Toc479944428 _Toc479944511 _Toc479944619 _Toc479987754 _Toc479988964 _Toc479992143 _Toc481933906 _Toc481943564 _Toc482434370 _Toc481933907 _Toc481943565 _Toc482434371 _Toc481933908 _Toc481943566 _Toc482434372 _Toc479944390 _Toc479944429 _Toc479944512 _Toc479944620 _Toc479987755 _Toc479988965 _Toc479992144 _Toc481933909 _Toc481943567 _Toc482434373 _Toc479944391 _Toc479944430 _Toc479944513 _Toc479944621 _Toc479987756 _Toc479988966 _Toc479992145 _Toc481933910 _Toc481943568 _Toc482434374 _Toc479944392 _Toc479944431 _Toc479944514 _Toc479944622 _Toc479987757 _Toc479988967 _Toc479992146 _Toc481933911 _Toc481943569 _Toc482434375 _Toc481933912 _Toc481943570 _Toc482434376 _Toc481933913 _Toc481943571 _Toc482434377 _1018950321 _1018950414 _1018950447 _1018950462 _1018950604 _1018950614 _1019456041 _1019456202 _1019456610 _1019565706 _1019566159 _1018950656 _1018950675 _1019462476 _1019462847 _1019462919 _1019463015 _1019463041 _1019463093 _1019463125 _Toc479944393 _Toc479944432 _Toc479944515 _Toc479944623 _Toc479987758 _Toc479988968 _Toc479992147 _Toc481933914 _Toc481943572 _Toc482434378 _Toc479944394 _Toc479944433 _Toc479944516 _Toc479944624 _Toc479987759 _Toc479988969 _Toc479992148 _Toc481933920 _Toc481943578 _Toc482434384 _Toc479944395 _Toc479944434 _Toc479944517 _Toc479944625 _Toc479987760 _Toc479988970 _Toc479992149 _Toc481933921 _1018952565 _1019393200 Q!Q!Q!-&-&-&444777777#8#8 ? ? ? ? ? ? ? ? ? ? ? ? ? ?IIIIIIRYRYRYRYRYRYZZZZZZm_m_m_m_m_m__________eeeeeeeeeeffffffffffagagaggigigi"q"q"q"q"q"q"qBqBqBqOvOvOvOvOvOvOvOvOvPv{{{{{{{{{{[}[}[}NNN%%%%%%%%%bbbbbbbbbb /LL @@@@ @!@"@#@$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~@@@@@@@@@@@@@@@@@@@@@@! c!c!c!D&D&D&444"8"8?8?8?8?8?8?8 ? ? ? ? ? ? ? ? ?.z4O12_iq|r!0O 9XJi# @p3\|Aa> ?.z4O12_iq| Ron Gibson.\\GIZZMO\rgibson\msword\Phase 1 EMS Report.doc Ron Gibson;\\GIZZMO\rgibson\msword\OMBI Version Phase 1 EMS Report.doc Ron Gibson@C:\TEMP\AutoRecovery save of OMBI Version Phase 1 EMS Report.asd Ron Gibson@C:\TEMP\AutoRecovery save of OMBI Version Phase 1 EMS Report.asd Ron Gibson@C:\TEMP\AutoRecovery save of OMBI Version Phase 1 EMS Report.asd Ron Gibson@C:\TEMP\AutoRecovery save of OMBI Version Phase 1 EMS Report.asd Ron GibsonT\\GIZZMO\ad_cao\MSWORD\Michael Boggs\OMBI Phase 1 EMS Report w Logo (2001 09 06).docNEUFELDa\\GIZZMO\ad_cao\MSWORD\Michael Boggs\OMBI Reports\OMBI Phase 1 EMS Report w Logo (2001 09 06).doc Ron Gibson8C:\TEMP\OMBI Phase 1 EMS Report w Logo (2001 09 06)1.doc Ron Gibson4C:\TEMP\OMBI Phase 1 EMS Web Report (2001 10 04).docI|J}ق~vC:nYlb>U˄ZHJ8"/$7K  /d 5Z J   }:   "I6 BO B9L zrE D7T&4Y$.X:cOp P$ kt & ]fU#k    !΍RD" .d% M'dg@*dRGX- >d]/?TDD@,D B)\B sBdcG\C0Gډzh.B9Lj )^k cKUlk .