Table 5. FSR Submission Schedule Period Covered Due Date September 1st through February 28th March 31st March 1st through August 31st August 31st Final Financial Status Report March 1st through August 31st October 15th D. Grantee will be paid on a cost-reimbursement basis and in accordance with the budget for the corresponding year under this Contract. ATTACHMENT B BUDGET Categorical Budget Budget Period: Contract Effective Date To August 31, 2024 Budget Period: September 1, 2024 To August 31, 2025 Total Contract Amount Personnel $61,944.00 $61,944.00 $123,888.00 Fringe Benefits $18,967.50 $18,967.50 $37,935.00 Travel $1,094.00 $1,094.00 $2,188.00 Equipment $0.00 $0.00 $0.00 Supplies $332.00 $332.00 $664.00 Contractual $0.00 $0.00 $0.00 Other $162.50 $162.50 $325.00 Total Direct Charges $82,500.00 $82,500.00 $165,000.00 Indirect Charges $0.00 $0.00 $0.00 Total $82,500.00 $82,500.00 $165,000.00 DSHS Contract No. HHS001315700028 Page 1 of 1 Attachment B Health and Human Services Contract Number _H_H_S_0_0_1_3_1_5_70_0_0_2_8
Table 5. Core HIA Process: Boundaries and Interfaces with Councils Activity Shared Service Councils Home Improvement Risk Assessment Maintain risk assessment of activity & use this to inform work planning Contribute information to the risk assessment Work Planning Formulate an annual plan of activity Consider, influence and accept the annual plan Work Allocation Determine how resources to be allocated and when activity will occur Agree the timing of activity and make available resources to support this Reporting Report on activity to Councils Share reports with stakeholders
Table 5. Wilcoxon Rank Test and Sign Test. Wilcoxon Rank Test Sign Test ORS Element Wilcoxon p-value Ho: p value observed ≤ interview Ho: p value collected ≥ interview Crawling 1.00 0.66 0.66 Crouching 0.86 0.50 0.59 Kneeling 0.08 0.97 0.05 Stooping <.01 <.01 1.00 Reaching overhead 0.57 0.81 0.25 Reaching At/Below Shoulder Level <.01 <.01 1.00 Communicating Verbally 0.07 0.95 0.07 Keyboarding 0.78 0.68 0.44 Keyboarding- Touchscreen 0.56 0.35 0.79 Keyboarding- 10key 0.41 0.29 0.87 Keyboarding- Other 0.01 <.01 1.00 Fine Manipulation <.01 <.01 1.00 Gross Manipulation <.01 <.01 1.00 Pushing/Pulling with Hands and Arms <.01 <.01 1.00 Pushing/Pulling with Feet and Legs 0.21 0.22 0.84 Pushing/Pulling with Feet 0.02 0.02 1.00 Climbing Ramps/Stairs 0.07 0.98 0.05 Climbing Ladders/Ropes/Scaffolding 0.14 0.96 0.21 The variables with longer duration associated with observation are stooping, reaching at or below the shoulder, other keyboarding, fine manipulation, gross manipulation, pushing and/or pulling with hands and arms, and pushing and pulling with feet. When we measure the modes of these elements, only one shows a difference in mode between the collected and observed values – reaching at or below the shoulder. The value of the mode for this element is occasionally (2% up to one-third of the day) in the interview data and constantly in the job observation data (two- thirds or more of the day). We noted earlier that missing duration was identified as an issue with ORS pre-production. In the case of reaching at or below the shoulder, 53 of the job observation duration measures were unable to be compared with interview duration data due to missing duration. It is notable that among the 53 missing quotes in pre-production, the job observation test recorded durations of frequently or constantly in 64% of the quotes. This is a common pattern among those elements where the sign test rejected the null of observation duration equal or below pre-production – the missing data in pre-production align with observed durations above the median and mode. From this, it appears that the “underestimate” of duration from the interview data is due to the missing duration being more likely to correlate with long duration observed. As a counter-example, 46 observed quotes had reaching overhead categorized as present with unknown duration in pre-production and only one of these was classified as frequently or constantly in the observation test.
Examples of Table 5 in a sentence
Student Total Credit Hours STUDENT TOTAL BS ENGINEERING TECHNOLOGY (BSEET) 130 STUDENT TOTAL BS ENGINEERING TECHNOLOGY (BSIET) 130 STUDENT TOTAL BS ENGINEERING TECHNOLOGY (BSMET) 128 Page 25.352.14 Table 5.
WATER QUALITY – NUTRIENTS Table 5 and Figure 20 display water quality/nutrient sample results at four locations on the Shasta River.
The vehicle shall be driven into a test circle with a radius "R" m and a speed "v" km/h corresponding to its category and the values given in the table below: Table 5 Vehicle category R 3 v 1, 2 M1 and N1 100 80 M2 and N2 50 50 M3 and N3 50 45 1 If the ASE is in a mechanically locked position at this specified speed, the test speed will be modified to correspond to the maximum speed where the system is functioning.
Table 5 lists the estimated coefficients, their standard errors, Z-values and associated p-values for the predictors that emerged as significant in the final model.
Table 1 OpenUp! ABCD(EFG) to Europeana ESE crosswalk (unrestricted) 18 Table 2 OpenUp! ABCD(EFG) to Europeana ESE crosswalk (restricted) 22 Table 3 edm:ProvidedCHO and ABCD(EFG) 32 Table 4 edm:Aggregation and ABCD(EFG) 34 Table 5 edm:WebResource and ABCD(EFG) 36 10 GLOSSARY TERM DESCRIPTION EDM Europeana Data Model31 ESE The Europeana Semantic elements (ESE) is the metadata set used to describe cultural heritage objects in Europeana.32 31 xxxx://xxx.xxxxxxxxx.xx/edm-documentation 28 Jan.
More Definitions of Table 5
Table 5. Top Five Government or Education Customers Line Item 22. Provide a list of your top five government, education, or non-profit customers (entity name is optional), including entity type, the state or province the entity is located in, scope of the project(s), size of transaction(s), and dollar volumes from the past three years. Entity Name Entity Type * State / Province * Scope of Work * Size of Transactions * Dollar Volume Past Three Years * Chicago Government Illinois - IL Vendor managed inventory Multi-year contract. Agency 2020 YTD: $55,365,549 Transit Authority services. Master warehouse that is billed a monthly fee for 2019: $70,838,159 services 20 City bus and rail operational expenses. 2018: $68,722,731 garages for the second-largest Separate billing is transit authority in the US. provided for all parts and supplies procured monthly * through the contract. Parts transactions number in the thousands as we source through hundreds of vendors. City of Government Illinois - IL Vendor managed inventory Multi-year contract. Agency 2020 YTD: $20,323,676 Chicago Fleet services for 14 on-site parts is billed a monthly fee for 2019: $28,098,757 rooms servicing the City's fire, operational expenses. 2018: $27,280,538 police, sanitation, parks, aviation Separate billing is and general fleets. provided for all parts and supplies procured monthly * through the contract. Parts transactions number in the thousands as we source through hundreds of vendors. City of New Government New York - NY Vendor managed inventory Multi-year contract. Agency 2020 YTD: $19,639,682 York Fleet services for 17 on-site parts is billed a monthly fee for 2019: $23,925,781 rooms servicing the City's fire, operational expenses. 2018: $20,285,905 police, sanitation, DOT, parks, Separate billing is corrections and general fleets. provided for all parts and supplies procured monthly * through the contract. Parts transactions number in the thousands as we source through hundreds of vendors. Ohio Government Ohio - OH Vendor managed inventory Multi-year contract. Agency 2020 YTD: $19,899,819 Department of services with onsite personnel in is billed a monthly fee for 2019: $21,439,285 Transportation each of 12 DOT districts operational expenses. 2018: N/A servicing more than 100 downline Separate billing is shops statewide supporting all DOT fleet operations, including provided for all parts and supplies procured monthly * snow removal, mowing, highway through the contract. Parts maintenance and...
Table 5. Specification of wagons for wagon load analysis. Type Hiirrs‐tt DB 324 Habbins 274‐1 VEL‐WL Haimmrs WW US jumbo box Type Hiirrs‐tt Habbins VEL‐WL Haimmrs US jumbo Axles/wagon 4 4 4 6 4 Axle load tonnes 22,5 22,5 22,5 20,0 32,4 Xxx xxxxx weight/wagon tonnes 90,0 90,0 90,0 120,0 129,7 Tare weight/wagon tonnes 31,6 26,0 30,0 33,7 46,3 Max load weight/wagon tonnes 58,0 64,0 60,0 50,0 83,4 Load volyme Number of TEU:s per wagon Loading length Total loading length m3 number fot m 210,0 25,6 166,0 22,0 196,0 24,5 180,0 20,2 323,0 28,2 Total length 1,25 28,4 23,3 25,8 25,8 26,4 Energy consumption KWh/grosstonkm 0,0152 0,0152 0,0153 0,0152 0,0160 Mainetnance cost SEK/km 0,20 0,21 0,21 0,28 0,23 Investment cost 1000 SEK 1 400 1 350 1 400 1 700 1 550 5 Economic analysis of VEL-wagon for wagonload Finally these wagons have been choosen for economic analysis: 4‐axle DB Hiirss‐tt 4‐axle DB Habbins 4‐axle VEL high cube 6‐axle DB Hiirss‐tt 4‐axle US jumbo box car The specifications of wagons are shown in table 5. The calculations have been made for a 600 km long distance in Sweden with 100% load factor in cubic meters m3 and 50% empty running (i.e. no back haul). The train consists of 20 VEL wagons and an equivalent number of the other types of wagons to transport the same amount of approx. 4 000 m3. The transport cost per cubic meter m3 has been compared with total capacity in m3. The result is shown in Figure 15. As can be seen in Figure 15 the VEL wagon is not so competitive compared with the specially built wagons for large volume. Compared with Habbins it is more effective but compared with the specially designed Hirrss-tt it the transport cost per m3 is 4% higher. Compared with an ordinary Habbins is 5% less expensive per m3. The most expensive seems to be the specially designed 6-axles Haimmrs, but perhaps this wagon is built for particular dimensions. The US box car offers the lowest transport cost but the differences in cost per m3 are not so big. Another way to analyze trains and wagons is to compare trains with the same number of wagons. One example is shown by Figure 16. Here still the Hirrss-tt is most competitive but VEL is rather good. The US box car is however extreme efficient with only 73% of the cost per m3 compared with Hirrss-tt. In Figures 17 and 18 the cost per m3 according to total capacity of the train between 2000 and 7000 m3 is shown. There is a range from approx. 5€/m3 at 2000 m3 to approx. 2.5€/m3 at 7000 m3 that means that the transp...
Table 5. The Range of Feasible Group Sizes for Complete Networks for Some Given α α < 0.08 α < 0.26 α < 0.41 α < 0.47 α < 0.56 α < 0.71 n = 2 X X X X X X n = 3 X X X X X n = 4 X X X X n = 5 X X X . X . n = 10 X X . . n = 50 X Using the proof of Proposition 5, one could simply verify that for α¯ = 0.47 (i.e., for any α < 0.47), the borrower welfare increases in n = 2, 3, 4, while for α¯ = 0.71, the only feasible group size is n = 2. Table 5 provides more examples of this kind and shows that larger group sizes are feasible for a smaller chance of project success. As shown in this table, if α > 0.56, the only feasible group size will be n = 2. Thus, according to Proposition 5, the borrower welfare can increase in group size only if α < 0.56 and the given δ is such that δˆ(n, α) < δ < δ˜(n, α).
Table 5. The energy supply of Orkney Supply Capacity/ quantity Production Notes Wind onshore 48.3 MW 149.7 GWh [18], EnergyPLAN [1] PV 1.3 MW 1.2 GWh [18], [22] Transmission line / Import 40 MW 10.8 GWh [1], [18] Solar (thermal) collectors 150 m2 0.05 GWh Estimation, [10] Biomass > 500 t 2.0 GWh Estimation, [18] Oil (for heating and transport) > 48 kt 598.8 GWh EnergyPLAN output Natural Gas > 7 kt 71.5 GWh EnergyPLAN output Coal > 3 kt 21.1 GWh [18], [21] As presented in Table 5, the total share of renewable sources in the primary energy supply reaches 17%. While the wind power production is good on Orkney, the transport and heating sector still rely on other fuels, such as oils. For the hourly simulation in EnergyPLAN, the wind and solar productions are specified by their distribution profiles throughout the whole year with a one hour temporal resolution – here the reference year 2014. The following figures present these distribution profiles for wind power, PV power and solar thermal production. Since no measured production data is available, the distribution of the electricity production from wind and PV is modelled with a renewable energy simulation website [7], [8], resulting in Figure 12 and Figure 13. For the profile of wind power production, the turbine type Enercon E44 is used for modelling, as it is also a type common on Orkney. Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Figure 12: Wind energy production simulation for 2014 for Orkney [8] Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Figure 13: PV energy production simulation for 2014 on Orkney [7] The distribution of wind and PV power production varies strongly throughout the year, as further illustrated with Figure 14. With wind production much lower in summer than in winter and with a much smaller capacity of PV, the electricity demand might not be possible to be covered with RES in some months, while other months have abundant amount of electricity from wind. It has to be kept in mind that the PV production is around 1.2 GWh annually, while wind produces 150 GWh. 18% 16% 14% 12% 10% 8% 6% 4% 2% 0% Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Solar energy Wind energy Figure 14: Monthly distribution of energy production from wind and PV for 2015 on Orkney Solar radiation is not only used for the production of electricity through PV systems, but also to produce heat through solar collectors. Only a small number of thermal collector systems are listed in the energy audit, while the statistics fo...
Table 5. Study CMEK162B2301, Part 1: Overall survival interim results (cut-off date: 7 November 2017) Encorafenib + binimetinib n = 192 (Combo 450) Encorafenib n = 194 (Enco 300) Vemurafenib n = 191 (Vem) OS Number of Events (%) 105 (54.7) 106 (54.6) 127 (66.5) Median, months 33.6 23.5 16.9 (95 % CI) (24.4, 39.2) (19.6, 33.6) (14.0, 24.5) Survival at 12 months 75.5% 74.6% 63.1% (95% CI) (68.8, 81.0) (67.6, 80.3) (55.7, 69.6) Survival at 24 months 57.6% 49.1% 43.2% (95% CI) (50.3, 64.3) (41.5, 56.2) (35.9, 50.2) HRa (95 % CI) (vs Vem) 0.61 (0.47, 0.79) p-value (stratified log-rank) < 0.0001 HRa (95 % CI) (vs. Enco 300) 0.81 (0.61,1.06) p-value (stratified log-rank) 0.061 Figure 2 Study CMEK162B2301, Part 1: Xxxxxx-Xxxxx plot of interim overall survival (cut-off date: 7 November 2017) Quality of Life (QoL) (cut-off date: 19 May 2016) The Functional Assessment of Cancer Therapy-Melanoma (FACT-M), the European Organisation for Research and Treatment of Cancer’s core quality of life questionnaire (EORTC QLQ-C30) and the EuroQoL-5 Dimension-5 Level examination (EQ-5D-5L) were used to explore patient-reported outcomes (PRO) measures of health-related Quality of Life, functioning, melanoma symptoms, and treatment-related adverse reaction. A definitive 10% deterioration in FACT-M and in EORTC QLQ-C30 was significantly delayed in patients treated with Combo 450 relative to other treatments. The median time to definitive 10 % deterioration in the FACT-M score was not reached in the Combo 450 arm and was 22.1 months (95 % CI: 15.2, NE) in the vemurafenib arm with a HR for the difference of 0.46 (95 % CI: 0.29, 0.72). An analysis of time to definitive 10 % deterioration in EORTC QLQ-C30 score provided with similar results. Patients receiving Combo 450 reported no change or a slight improvement in the mean change from baseline EQ-5D-5L index score at all visits, whilst patients receiving vemurafenib or encorafenib reported decreases at all visits (with statistical significant differences). An evaluation of change over time in score yielded the same trend for EORTC QLQ-C30 and at all visit for FACT-M. Study CMEK162B2301, Part 2 Part 2 of study CMEK162B2301 was designed to assess the contribution of binimetinib to the encorafenib and binimetinib combination. The PFS for encorafenib 300 mg orally daily used in combination with binimetinib 45 mg orally twice daily (Combo 300, n = 258) was compared to the PFS for Enco 300 (n = 280, including 194 patients from Part 1 and 86 patients f...
Table 5. Means and Standard Derivations for Creativity and Social Contribution Scores of the 10 Most Noted Chinese Creators in History.
Table 5. Meter Provision Service Standards No. Service Description Service Standard (Business Days) KPI Metropolitan Country Meter Provision MP-1 Meter installation and energisation 1/2/A (2018) 5/6/A (2019) 99% MP-21 Meter installation repair 10/11 15/16 95% MP-3 Meter upgrade * * * MP-42 Meter exchange 10/11 15/16 95% MP-53 Meter investigation 10/11 15/16 95% MP-64 Communications installation 10/11 15/16 95% MP-75 Meter test (laboratory) 15/16 20/21 95% MP-86 Meter test (on- site) 10/11 15/16 95% 14 The first number in the relevant column of the Service Standard table for the Service. 15 The second number in the relevant column of the Service Standard table for the Service. 16 The first number in the relevant column of the Service Standard table for the Service. 17 The second number in the relevant column of the Service Standard table for the Service. * In accordance with the Code. 18 In accordance with the Electricity Industry (Obligation to Connect) Regulations 2005 (WA): Attachment or connection (Meter installation) within 20 Business Days and Energise within 1/2/A for Metropolitan areas. 19 In accordance with the Electricity Industry (Obligation to Connect) Regulations 2005 (WA): Attachment or connection (Meter installation) within 20 Business Days and Energise within 5/6/A for Country areas. A: By agreement with the Customer. MP-97 Meter reconfiguration (Non-AMI Meter) 10/11 15/16 95% MP-108 Enablement of signal pulse outputs 10/11 15/16 95% MP-119 Remove meter 10/11 15/16 95% Performance Measurement Performance to the Service Standard for Meter Provision Services will be measured on the difference between the requested date of the Service and the Actual Change Date. Where a change does not occur, performance will be measured on the difference between the requested date of the Service and the Field Completion Date.