Trends. Contractors shall remain abreast of media buying trends and apply credible new practices, subject to the approval of Authorized Users, that may benefit New York State and their Authorized Users and drive improvements and efficiencies when spending public dollars.
Trends. 1. Provide the trends seen on your book of business in the past three (3) years, along with your projections of trends for the coming three (3) years: 2012 2013 2014 2015 2016 2017
2. What are the most significant factors driving your trend assumptions for the next (3) three years?
Trends. Describe any trends in the community that may affect the way in which the needs of persons living with HIV/AIDS are being addressed, and provide any other information important to the future provision of services to this population. Sources of Leveraging Report the source(s) of cash or in-kind leveraged federal, state, local or private resources used in the delivery of the HOPWA program and the amount of leveraged dollars. In Column [1], identify the type of leveraging. Some common sources of leveraged funds have been provided as a reference point. You may add Rows as necessary to report all sources of leveraged funds. Include Resident Rent payments paid by clients directly to private landlords. Do NOT include rents paid directly to a HOPWA program as this will be reported in the next section. In Column [2] report the amount of leveraged funds expended during the operating year. Use Column [3] to provide some detail about the type of leveraged contribution (e.g., case management services or clothing donations). In Column [4], check the appropriate box to indicate whether the leveraged contribution was a housing subsidy assistance or another form of support. [1] Source of Leveraging [2] Amount of Leveraged Funds [3] Type of Contribution [4] Housing Subsidy Assistance or Other Support Public Funding Xxxx Xxxxx-Housing Assistance Housing Subsidy Assistance Other Support Xxxx Xxxxx-Other Housing Subsidy Assistance Other Support Housing Choice Voucher Program Housing Subsidy Assistance Other Support Low Income Housing Tax Credit Housing Subsidy Assistance Other Support HOME Housing Subsidy Assistance Other Support Shelter Plus Care Housing Subsidy Assistance Other Support Emergency Solutions Grant Housing Subsidy Assistance Other Support Other Public: Housing Subsidy Assistance Other Support Other Public: Housing Subsidy Assistance Other Support Other Public: Housing Subsidy Assistance Other Support Other Public: Housing Subsidy Assistance Other Support Other Public: Housing Subsidy Assistance Other Support Private Funding Grants Housing Subsidy Assistance Other Support In-kind Resources Housing Subsidy Assistance Other Support Other Private: Housing Subsidy Assistance Other Support Other Private: Housing Subsidy Assistance Other Support Other Funding Grantee/Project Sponsor/Subrecipient (Agency) Cash Housing Subsidy Assistance Other Support Resident Rent Payments by Client to Private Landlord TOTAL (Sum of all Rows) Total Amount Program Income and Resident Ren...
Trends. 16 This is because views and reports for purposes that are based on pseudonymised and identifiable data often produce different numbers to those where the National Data Opt-Out is applied. 17 Additional details regarding the role-based access controls can be found in Schedule T (xxxxx://xxx.xxxxxx.xx/documents/ScheduleUcurrent.pdf ). There are five user access profiles in the TVS Care Record role based access control (RBAC) model for intelligence. These are18:
Trends. Describe any trends in the community that may affect the way in which the needs of persons living with HIV/AIDS are being addressed, and provide any other information important to the future provision of services to this population. Sources of Leveraging TOTAL (Sum of all Rows) Total Amount Program Income and Resident Rent Payment Collected During the Operating Year
1. Program income (e.g. repayments)
2. Resident Rent Payments made directly to HOPWA Program
3. Total Program Income and Resident Rent Payments (Sum of Rows 1 and 2) Program Income and Resident Rent Payments Expended To Assist HOPWA Households
1. Program Income and Resident Rent Payment Expended on Housing Subsidy Assistance costs
2. Program Income and Resident Rent Payment Expended on Supportive Services and other non-direct housing costs
3. Total Program Income Expended (Sum of Rows 1 and 2)
a. Total Short-term mortgage, rent and/or utility (STRMU) assistance b. Of the total STRMU reported on Row a, total who received assistance with mortgage costs ONLY.
Trends. A. Standard for all Automation Server IO modules and b3 Infinite controllers only: All inputs, outputs and variables such as set points will be trended in one hour intervals for a minimum of 168 hours (seven days) and will be available through an appropriate graphic. Each trend will pull up in a list format to allow the user to select the desired points and range of data to view before initiating the data retrieval.
Trends. As US dominance and tomorrow China are embedded in the actual AI wave, who relies mostly on what Jurgen Schmidhuber8 describes as passive AI: intelligent machines and algorithms that are recognising patterns in massive sets of data and can predict behaviour. Most of the activities and the profits made are coming from selling ads and products. Google, Tencent, Alibaba, Amazon have built their empire and monopolies on their ability on what we are going to click or buy. Moreover, they are trying to extend their leadership in the real world (autonomous car, health…). Nevertheless, we foresee trends that Europe should pursue to pave the way to the next AI wave to come. First, the AI click and sell model represents only a small part of the world economy. More and more, AI should be applied to more critical and more complex societal challenges that are crucial for humanity and sustainable development such as health and well-being, climate change, inclusive and secure societies, to name a few. These applications require good or virtuous AI that helps to make people life more comfortable, healthier, safer, longer and more sustainable. We enter not only an AI age but a Trust Age where trust will be a central value in every business and actions. Thus, there is an urgent need to propel a human-driven, trustworthy and ethical AI, serving societal needs and human accomplishment. Another critical trend concerns reasoning. The future of AI will be about techniques exploiting small data and deep reasoning capabilities9. For various reasons (ethics, few organizations having the needed volume and quality of data), the big-data-eager approaches will probably be complemented by symbolic reasoning approaches that do not require as much data as the deep learning and machine learning methods, but embed knowledge from domain experts and common sense reasoning and seamlessly merge these with data-driven models. Dealing with uncertainty is also crucial for creating fully autonomous systems that are capable of reconfiguring and finding the best way to reach their goals, interact with humans and other machines, explain their behaviour and take decisions according to ethical principles.
Trends. Childhood obesity is a significant and growing health problem in the U.S. and the world. Secular trend data in the U.S. suggest that children have become substantially heavier over the last several decades and that their risk for a number of health problems is increasing as a result. In addition, they are at risk for obesity in adulthood and all of the morbidities associated with it. Findings from the Third National Health and Nutrition Examination Study (NHANES III) estimate that 22% of children are overweight or at risk for becoming overweight based on the 85th percentile of body mass index (BMI), while 11% of children are overweight using the 95th percentile of BMI. Recent preliminary results from NHANES 1999 indicate that this trend is continuing; 13% of children and 14% of adolescents were overweight based on the 95th percentile, representing a 2 percentage point increase in less than a decade (Children and Adolescents: United States, 1999).
Trends. Expertise is required in terms of the dynamics between arms, armed conflicts and conflict resolution, such as supply chains, humanitarian impact, new technologies, legal status, DDR and post-conflict arms management; issues concerning design and implantation of ceasefires; rights and roles of victims in the context of negotiations; interrelationships between armed conflicts and humanitarian crises; theories and trends in mediation; norms and practices in non-violent interventions to facilitate processes of negotiated peace agreements; ways to develop political dialogue in the context of new conflict trends (including multipolarity, migration, identity politics and climate change); the roles of new actors in opening spaces for political dialogue and the multiple challenges for conflict resolution posed by the increased role of armed non-state actors as drivers of and stakeholders in current and future armed conflicts and situations of chronic armed violence.
