Better Too Much Than Not Enough : Women of Color on the Federal Bench

It is well established that the federal judiciary has been an overwhelmingly White and male institution since its creation and continues to be so today. Even as presidents of both parties have looked to diversify their judicial nominees, this has tended to result in the appointment of White women and men of color rather than women of color. Using data on the confirmed federal district and circuit court judges from presidents Clinton through Trump, we assess how the backgrounds of women of color nominated to the federal judiciary compare with those of other appointees. The results indicate that, compared to White male judges, women of color judges accrue more types of professional experience before their appointments, are more likely to have had prior experience as a judge, and are generally nominated earlier in their careers

Citations and Convictions: One Community’s Coordinated Response to Intimate Partner Violence & Efforts toward Offender Accountability

In 1996, a coordinated community response (CCR) was formally established in a mid-sized Midwestern city to improve the criminal justice response to intimate partner violence (IPV). Data for this study included all IPV-related incidents to which the local police department responded since the establishment of the CCR for a fourteen year period. Effective CCRs provide for IPV offender accountability through citation and prosecution of IPV-related crimes. Concerns about demographic variables affecting citation and prosecution rates have been identified in the literature. Compared to national statistics, gender differences were consistent but higher citation and conviction rates were identified in this community. While differences related to race were found, they were small in size. Although lack of data available from the time prior to the implementation of the CCR model for comparison precludes a definitive conclusion about the effectiveness of the CCR, our findings suggest there is benefit to having one

Citations and Convictions: One Community’s Coordinated Response to Intimate Partner Violence & Efforts toward Offender Accountability

In 1996, a coordinated community response (CCR) was formally established in a mid-sized Midwestern city to improve the criminal justice response to intimate partner violence (IPV). Data for this study included all IPV-related incidents to which the local police department responded since the establishment of the CCR for a fourteen year period. Effective CCRs provide for IPV offender accountability through citation and prosecution of IPV-related crimes. Concerns about demographic variables affecting citation and prosecution rates have been identified in the literature. Compared to national statistics, gender differences were consistent but higher citation and conviction rates were identified in this community. While differences related to race were found, they were small in size. Although lack of data available from the time prior to the implementation of the CCR model for comparison precludes a definitive conclusion about the effectiveness of the CCR, our findings suggest there is benefit to having one

The Role of Gender on the Associations Among Children’s Attitudes, Mathematics Knowledge, Digital Game Use, Perceptions of Affordances, and Achievement

This study explored associations among children’s prior attitudes, prior mathematics knowledge, and frequency of digital game use, with children’s perceptions of game affordances, and transfer to out-of-game performance when interacting with digital math games, with respect to gender. Participants were 187 children (ages 8–12). An SEM mediation path analysis using MPLUS software showed significant direct effects for all pathways for all children, and significant indirect effects on all pathways for male children and five of six pathways for female children. More favorable attitudes, prior math knowledge, and perception of the helping affordances were associated with increased posttest performance, while increased frequency of digital game use and stronger perception of the hindering affordances was associated with decreased posttest performance. The model showed stronger connections for male children between frequency of digital game use, prior mathematics knowledge, and hindering affordances to the posttest, while female children showed stronger connections between attitude and perception of helping affordances to the posttest

Impact of an electronic health record alert in primary care on increasing hepatitis c screening and curative treatment for baby boomers

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/139945/1/hep29362_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/139945/2/hep29362.pd

How Design Features in Digital Math Games Support Learning and Mathematics Connections

Current research shows that digital games can significantly enhance children’s learning. The purpose of this study was to examine how design features in 12 digital math games influenced children’s learning. The participants in this study were 193 children in Grades 2 through 6 (ages 8-12). During clinical interviews, children in the study completed pre-tests, interacted with digital math games, responded to questions about the digital math games, and completed post-tests. We recorded the interactions using two video perspectives that recorded children’s gameplay and responses to interviewers. We employed mixed methods to analyze the data and identify salient patterns in children’s experiences with the digital math games. The analysis revealed significant gains for 9 of the 12 digital games and most children were aware of the design features in the games. There were eight prominent categories of design features in the video data that supported learning and mathematics connections. Six categories focused on how the design features supported learning in the digital games. These categories included: accuracy feedback, unlimited/multiple attempts, information tutorials and hints, focused constraint, progressive levels, and game efficiency. Two categories were more specific to embodied cognition and action with the mathematics, and focused on how design features promoted mathematics connections. These categories included: linked representations and linked physical actions. The digital games in this study that did not include linked representations and opportunities for linked physical actions as design features did not produce significant gains. These results suggest the key role of mathematics-specific design features in the design of digital math games

An analysis of simple computational strategies to facilitate the design of functional molecular information processors

BACKGROUND: Biological macromolecules (DNA, RNA and proteins) are capable of processing physical or chemical inputs to generate outputs that parallel conventional Boolean logical operators. However, the design of functional modules that will enable these macromolecules to operate as synthetic molecular computing devices is challenging. RESULTS: Using three simple heuristics, we designed RNA sensors that can mimic the function of a seven-segment display (SSD). Ten independent and orthogonal sensors representing the numerals 0 to 9 are designed and constructed. Each sensor has its own unique oligonucleotide binding site region that is activated uniquely by a specific input. Each operator was subjected to a stringent in silico filtering. Random sensors were selected and functionally validated via ribozyme self cleavage assays that were visualized via electrophoresis. CONCLUSIONS: By utilising simple permutation and randomisation in the sequence design phase, we have developed functional RNA sensors thus demonstrating that even the simplest of computational methods can greatly aid the design phase for constructing functional molecular devices. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-016-1297-x) contains supplementary material, which is available to authorized users

Use of the gamma method for self-contained gene-set analysis of SNP data

Gene-set analysis (GSA) evaluates the overall evidence of association between a phenotype and all genotyped single nucleotide polymorphisms (SNPs) in a set of genes, as opposed to testing for association between a phenotype and each SNP individually. We propose using the Gamma Method (GM) to combine gene-level P-values for assessing the significance of GS association. We performed simulations to compare the GM with several other self-contained GSA strategies, including both one-step and two-step GSA approaches, in a variety of scenarios. We denote a ‘one-step' GSA approach to be one in which all SNPs in a GS are used to derive a test of GS association without consideration of gene-level effects, and a ‘two-step' approach to be one in which all genotyped SNPs in a gene are first used to evaluate association of the phenotype with all measured variation in the gene and then the gene-level tests of association are aggregated to assess the GS association with the phenotype. The simulations suggest that, overall, two-step methods provide higher power than one-step approaches and that combining gene-level P-values using the GM with a soft truncation threshold between 0.05 and 0.20 is a powerful approach for conducting GSA, relative to the competing approaches assessed. We also applied all of the considered GSA methods to data from a pharmacogenomic study of cisplatin, and obtained evidence suggesting that the glutathione metabolism GS is associated with cisplatin drug response

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