EPSCoR Research Infrastructure Improvement Program Track-1 ...

https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=503429...
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A revised version of the NSF Proposal & Award Policies & Procedures Guide ( PAPPG) (NSF 20-1), is effective for proposals submitted, or due, on or after June 1, ... National Science Foundation - Where Discoveries Begin EPSCoR Research Infrastructure Improvement Program Track-1  (RII Track-1) N NSF Wide Programs Jeanne  Small jsmall@nsf.gov (703) 292-8623   Timothy  M. VanReken tvanreke@nsf.gov (703) 292-7378   Subrata  Acharya acharyas@nsf.gov (703) 292-2451   Jose  Colom-Ustariz jcolom@nsf.gov (703) 292-7088   Andrea  Johnson andjohns@nsf.gov (703) 292-5164   Eric  W. Lindquist elindqui@nsf.gov (703) 292-7127   JD  Swanson jswanson@nsf.gov (703) 292-2898   Chinonye  Nnakwe Whitleycwhitley@nsf.gov (703) 292-8458   Important Information for Proposers A revised version of the NSF Proposal & Award Policies & Procedures Guide (PAPPG) (NSF 20-1), is effective for proposals submitted, or due, on or after June 1, 2020. Please be advised that, depending on the specified due date, the guidelines contained in NSF 20-1 may apply to proposals submitted in response to this funding opportunity. Letter of Intent Deadline Date The Established Program to Stimulate Competitive Research (EPSCoR) is designed to fulfill the mandate of the National Science Foundation (NSF) to promote scientific progress nationwide. Jurisdictions are eligible to participate in the NSF EPSCoR Research Infrastructure Improvement (RII) Program based on their level of total NSF support over their most recent five years (see RII eligibility). Through this program, NSF facilitates the establishment of partnerships among academic institutions and organizations in governmental, non-profit, and commercial or industrial sectors that are designed to effect sustainable improvements in a jurisdiction's research infrastructure, Research and Development (R&D) capacity, and hence, its R&D competitiveness.



TheFatRat - Jackpot (Jackpot EP Track 1) - YouTube

https://www.youtube.com/watch?v=kL8CyVqzmkc
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Nov 18, 2016 ... New song coming on 9th July 4pm CEST! Turn on your notification bell. Pre-save the song here https://lnk.to/HITBYT Jackpot is copyright ... Deliver and maintain services, like tracking outages and protecting against spam, fraud, and abuse Measure audience engagement and site statistics to understand how our services are used Improve the quality of our services and develop new ones Deliver and measure the effectiveness of ads Show personalized content, depending on your settings Show personalized or generic ads, depending on your settings, on Google and across the web For non-personalized content and ads, what you see may be influenced by things like the content you’re currently viewing and your location (ad serving is based on general location). Personalized content and ads can be based on those things and your activity like Google searches and videos you watch on YouTube. Personalized content and ads include things like more relevant results and recommendations, a customized YouTube homepage, and ads that are tailored to your interests. Privacy Policy Terms of Service



Action Tracks | United Nations

https://www.un.org/en/food-systems-summit/action-tracks
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Action Track 1 · Ensure access to safe and nutritious food for all · Action Track 2 · Shift to sustainable consumption patterns · Action Track 3 · Boost nature-positive  ... The Summit’s Action Tracks offer stakeholders from a wide range of backgrounds a space to share and learn, with a view to fostering new actions and partnerships and amplifying existing initiatives. The Action Tracks are aligned with the Summit’s five objectives. Importantly, the Action Tracks are not separate, nor do they sit in siloes. Each Action Track is designed to address possible trade-offs with other tracks, and to identify solutions that can deliver wide-reaching benefits. The Action Tracks will draw on the expertise of actors from across the world’s food systems. Together, they will explore how key cross-cutting levers of change such as human rights, finance, innovation, and the empowerment of women and young people can be mobilized to meet the Summit’s objectives. Over 2000 ideas were received by the Action Tracks and have now been consolidated into 15 Action Areas. Review and give your feedback here. Ensure access to safe and nutritious food for all Shift to sustainable consumption patterns Boost nature-positive production Build resilience to vulnerabilities, shocks and stress Progress in Food Systems Summit as more than 1,200 ideas are put forward to help meet the Sustainable Development Goals The UN Food Systems Summit has surfaced more than 1,200 ideas and propositions to transform food systems in just six months of public engagement. Since September, the Summit has hosted regular online meetings, public fora and surveys organised around five priority objectives for more equitable and sustainable food systems.



New Accountable Care Organization Model Opportunity: Medicare ...

https://www.cms.gov/.../New-Accountable-Care-Organization-Model- Opportunity-Fact-Sheet.pdf
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Dec 20, 2016 ... The Appendix shows a comparison of select characteristics of the Track 1+ Model and existing Shared Savings Program Tracks 1, 2, and 3. Track ...---



De-identification of psychiatric intake records: Overview of 2016 ...

https://pubmed.ncbi.nlm.nih.gov/28614702/
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Jun 11, 2017 ... The 2016 CEGS N-GRID shared tasks for clinical records contained three tracks. Track 1 focused on de-identification of a new corpus of 1000 ... Public health information (CDC) Prevention and treatment information (HHS) Access keysNCBI HomepageMyNCBI HomepageMain ContentMain Navigation . 2017 Nov;75S:S4-S18. doi: 10.1016/j.jbi.2017.06.011. Epub 2017 Jun 11. De-identification of psychiatric intake records: Overview of 2016 CEGS N-GRID shared tasks Track 1 Amber Stubbs  1 , Michele Filannino  2 , Özlem Uzuner  3 The 2016 CEGS N-GRID shared tasks for clinical records contained three tracks. Track 1 focused on de-identification of a new corpus of 1000 psychiatric intake records. This track tackled de-identification in two sub-tracks: Track 1.A was a "sight unseen" task, where nine teams ran existing de-identification systems, without any modifications or training, on 600 new records in order to gauge how well systems generalize to new data. The best-performing system for this track scored an F1 of 0.799. Track 1.B was a traditional Natural Language Processing (NLP) shared task on de-identification, where 15 teams had two months to train their systems on the new data, then test it on an unannotated test set. The best-performing system from this track scored an F1 of 0.914. The scores for Track 1.A show that unmodified existing systems do not generalize well to new data without the benefit of training data. The scores for Track 1.B are slightly lower than the 2014 de-identification shared task (which was almost identical to 2016 Track 1.B), indicating that these new psychiatric records pose a more difficult challenge to NLP systems. Overall, de-identification is still not a solved problem, though it is important to the future of clinical NLP.








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