Partnerships in Employment Brief: Guidance on How to Obtain Data on the Use of Subminimum Wages Within a State to Inform Systems Change Activities

In October 2011, the Administration on Intellectual and Developmental Disabilities awarded grants to lead agencies in six states: California, Iowa, Mississippi, Missouri, New York, and Wisconsin. Two additional states, Alaska and Tennessee, received grants in October 2012. These states proposed activities to spur improved employment and postsecondary outcomes for youth with intellectual and developmental disabilities (IDD). Until the end of September 2016 the Institute for Community Inclusion and the National Association of State Directors of Developmental Disabilities Services provided training and technical assistance (TA) to the eight state projects through the Partnerships in Employment (PIE) Training and TA Center. PIE project work is framed by the High-Performing States Transition Model, which contains 8 key elements: collaboration, leadership, state goals and policy, funding and contracting, staff training, service innovation, performance management and quality assurance, and youth leadership development and family engagement. This document is one in a series of PIE Project Fact Sheets that chronicle how PIE grantee states are making change under the elements of the High-Performing States Transition Model. This document represents the efforts of several PIE grantees to identify and change the use of subminimum wages in their states by examining data on the use of subminimum wages authorized by individual state governments and by the Federal Government. It is the first of two documents that both share information about how to access and use data on federal certificates and, if applicable, state subminimum wage authorizations. Please see the companion brief Influencing changes in state policy and practice with data on subminimum wages

Partnerships in Employment Brief: Influencing Changes in State Policy and Practice with Data on Subminimum Wages

Subminimum wage is a pervasive and controversial issue. In many states there are individuals with disabilities who earn as little as seven cents an hour and workers who do not earn any wages because they do not produce enough products to be paid wages for their work according to the 14(c) Certificate holder. There are many ways that data on wages earned under Section 14(c) of the Fair Labor Standards Act, i.e., 14(c) Certificates can be used to influence changes in state policy and practice. This brief describes examples from Partnerships in Employment grantee states

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe

Partnerships in Employment Brief: Guidance on How to Obtain Data on the Use of Subminimum Wages Within a State to Inform Systems Change Activities

In October 2011, the Administration on Intellectual and Developmental Disabilities awarded grants to lead agencies in six states: California, Iowa, Mississippi, Missouri, New York, and Wisconsin. Two additional states, Alaska and Tennessee, received grants in October 2012. These states proposed activities to spur improved employment and postsecondary outcomes for youth with intellectual and developmental disabilities (IDD). Until the end of September 2016 the Institute for Community Inclusion and the National Association of State Directors of Developmental Disabilities Services provided training and technical assistance (TA) to the eight state projects through the Partnerships in Employment (PIE) Training and TA Center. PIE project work is framed by the High-Performing States Transition Model, which contains 8 key elements: collaboration, leadership, state goals and policy, funding and contracting, staff training, service innovation, performance management and quality assurance, and youth leadership development and family engagement. This document is one in a series of PIE Project Fact Sheets that chronicle how PIE grantee states are making change under the elements of the High-Performing States Transition Model. This document represents the efforts of several PIE grantees to identify and change the use of subminimum wages in their states by examining data on the use of subminimum wages authorized by individual state governments and by the Federal Government. It is the first of two documents that both share information about how to access and use data on federal certificates and, if applicable, state subminimum wage authorizations. Please see the companion brief Influencing changes in state policy and practice with data on subminimum wages

Epigenetic profiling of growth plate chondrocytes sheds insight into regulatory genetic variation influencing height

GWAS have identified hundreds of height-associated loci. However, determining causal mechanisms is challenging, especially since height-relevant tissues (e.g. growth plates) are difficult to study. To uncover mechanisms by which height GWAS variants function, we performed epigenetic profiling of murine femoral growth plates. The profiled open chromatin regions recapitulate known chondrocyte and skeletal biology, are enriched at height GWAS loci, particularly near differentially expressed growth plate genes, and enriched for binding motifs of transcription factors with roles in chondrocyte biology. At specific loci, our analyses identified compelling mechanisms for GWAS variants. For example, at CHSY1, we identified a candidate causal variant (rs9920291) overlapping an open chromatin region. Reporter assays demonstrated that rs9920291 shows allelic regulatory activity, and CRISPR/Cas9 targeting of human chondrocytes demonstrates that the region regulates CHSY1 expression. Thus, integrating biologically relevant epigenetic information (here, from growth plates) with genetic association results can identify biological mechanisms important for human growth

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical science. © The Author(s) 2019. Published by Oxford University Press