The long-term effects on schools and staff of in-service courses for teachers of primary design and technology

A new curriculum subject, design and technology, was introduced into schools in England and Wales as part of a National Curriculum in 1990. In-service training for primary teachers of design and technology is an essential feature in the development of this new curriculum subject. This has taken place partly through the Grants for Education and Training (GEST) funded courses ranging from 5 to 20 days in duration. While a short training course might be evaluated for its content and modes of delivery, the effect of the course on the school itself is of much more interest and concern. Without a knowledge of the degree of change that the course has brought to pupils and teachers. an evaluation of the course will not be complete.This paper describes the results of two surveys which set out to gauge the degree of change perceived by course participants in schools as a result of GEST funded courses over the past four years. The analysis and conclusions provide indications regarding the effectiveness of the courses and suggest where improvements might be made. Many of the conclusions and recommendations would apply to a wide range of in-service courses in all curriculum areas

Inservice training for primary design and technology - is it working?

This paper reports on course participants' perceptions of aspects of change in their schools as a result of participation in Grant for Education and Training (GEST) funded courses for design and technology, carried out at the Universities of Central England and Warwick. An initial trial, using both questionnaire and interview techniques, was followed by a questionnaire survey of teachers who had attended the courses during 1993 and 1994. The categories of enquiry focused on the perceptions of changes in the practice of the course participants, their colleagues and the school as a whole. Additional enquiry was made into changes in resourcing for design and technology following the course, the attitude of the head teacher towards design and technology and the provision made for dissemination of the courses in schools. Analysis of the data has made possible a comparison of the effects of course length, structure and focus on the perceptions of changes to design and technology practice in the schools surveyed. Patterns in responses are identified and analysed, and recommendations for future courses are suggested

African forest and savannah elephants treated as separate species

The African Elephant Specialist Group (AfESG) of IUCN will now treat African elephants as two species: the forest elephant Loxodonta cyclotis and the savannah elephant Loxodonta africana. This will be reflected in IUCN's Red List assessment update for African elephants, and in the next iteration of the African Elephant Status Report, both to be published in 2021. This concurs with Wilson & Reader (Mammal Species of the World, 2005), the primary IUCN reference on mammalian taxonomy, Wittemyer (in Handbook of the Mammals of the World, 2011), and Tassy & Shoshani (in Mammals of Africa, 2013)

Beyond the Red, Purple, and Blue: Election Law Issues in 2012

The Symposium Welcome was given by Clint A. Nichols, the Allen Chair Editor for the University of Richmond Law Review, and Wendy C. Perdue, Dean & Professor of Law at the University of Richmond School of Law. The “Get out the vote?” session was presented by Keesha M. Gaskins, Senior Counsel with the Brennan Center for Justice at New York University; Steven F. Huefner, Professor of Law and Director of Clinical Programs at The Ohio State University Moritz College of Law; Joshua N. Lief, Senior Assistant Attorney General for the Commonwealth of Virginia; and Michael J. Pitts, Professor of Law and Dean’s Fellow at Indiana University’s Robert H. McKinney School of Law. The “Third Parties to the Process” session was presented by Jocelyn F. Benson, Associate Professor of Law at Wayne State University Law School; Joshua A. Douglas, Assistant Professor of Law at the University of Kentucky College of Law; and Rebecca Green, Professor of the Practice of Law and Co-Director of the Election Law Program at the William & Mary Law School. The “Drawing the Lines” session was presented by Keesha M. Gaskins, Senior Counsel with the Brennan Center for Justice at New York University; Dale Ho, Assistant Counsel with the NAACP Legal Defense and Educational Fund; Dr. Michael P. McDonald, Associate Professor of Government and Politics at George Mason University; Donald Palmer, Secretary of the Virginia State Board of Elections; and Rob Richie, Executive Director of FairVote

Functional Screening of Candidate Causal Genes for Insulin Resistance in Human Preadipocytes and Adipocytes.

Rationale: Genome-wide association studies have identified genetic loci associated with insulin resistance (IR) but pinpointing the causal genes of a risk locus has been challenging. Objective: To identify candidate causal genes for IR, we screened regional and biologically plausible genes (16 in total) near the top 10 IR-loci in risk-relevant cell types, namely preadipocytes and adipocytes. Methods and Results: We generated 16 human Simpson-Golabi-Behmel syndrome preadipocyte knockout lines each with a single IR-gene knocked out by lentivirus-mediated CRISPR (clustered regularly interspaced short palindromic repeats)/Cas9 system. We evaluated each gene knockout by screening IR-relevant phenotypes in the 3 insulin-sensitizing mechanisms, including adipogenesis, lipid metabolism, and insulin signaling. We performed genetic analyses using data on the genotype-tissue expression portal expression quantitative trait loci database and accelerating medicines partnership type 2 diabetes mellitus Knowledge Portal to evaluate whether candidate genes prioritized by our in vitro studies were expression quantitative trait loci genes in human subcutaneous adipose tissue, and whether expression of these genes is associated with risk of IR, type 2 diabetes mellitus, and cardiovascular diseases. We further validated the functions of 3 new adipose IR genes by overexpression-based phenotypic rescue in the Simpson-Golabi-Behmel syndrome preadipocyte knockout lines. Twelve genes, PPARG, IRS-1, FST, PEPD, PDGFC, MAP3K1, GRB14, ARL15, ANKRD55, RSPO3, COBLL1, and LYPLAL1, showed diverse phenotypes in the 3 insulin-sensitizing mechanisms, and the first 7 of these genes could affect all the 3 mechanisms. Five out of 6 expression quantitative trait loci genes are among the top candidate causal genes and the abnormal expression levels of these genes (IRS-1, GRB14, FST, PEPD, and PDGFC) in human subcutaneous adipose tissue could be associated with increased risk of IR, type 2 diabetes mellitus, and cardiovascular disease. Phenotypic rescue by overexpression of the candidate causal genes (FST, PEPD, and PDGFC) in the Simpson-Golabi-Behmel syndrome preadipocyte knockout lines confirmed their function in adipose IR. Conclusions: Twelve genes showed diverse phenotypes indicating differential roles in insulin sensitization, suggesting mechanisms bridging the association of their genomic loci with IR. We prioritized PPARG, IRS-1, GRB14, MAP3K1, FST, PEPD, and PDGFC as top candidate genes. Our work points to novel roles for FST, PEPD, and PDGFC in adipose tissue, with consequences for cardiometabolic diseases

Childhood Incident Asthma and Traffic-Related Air Pollution at Home and School

Background: Traffic-related air pollution has been associated with adverse cardiorespiratory effects, including increased asthma prevalence. However, there has been little study of effects of traffic exposure at school on new-onset asthma. Objectives: We evaluated the relationship of new-onset asthma with traffic-related pollution near homes and schools. Methods: Parent-reported physician diagnosis of new-onset asthma (n = 120) was identified during 3 years of follow-up of a cohort of 2,497 kindergarten and first-grade children who were asthma- and wheezing-free at study entry into the Southern California Children's Health Study. We assessed traffic-related pollution exposure based on a line source dispersion model of traffic volume, distance from home and school, and local meteorology. Regional ambient ozone, nitrogen dioxide (NO2), and particulate matter were measured continuously at one central site monitor in each of 13 study communities. Hazard ratios (HRs) for new-onset asthma were scaled to the range of ambient central site pollutants and to the residential interquartile range for each traffic exposure metric. Results: Asthma risk increased with modeled traffic-related pollution exposure from roadways near homes [HR 1.51; 95% confidence interval (CI), 1.25-1.82] and near schools (HR 1.45; 95% CI, 1.06-1.98). Ambient NO2 measured at a central site in each community was also associated with increased risk (HR 2.18; 95% CI, 1.18-4.01). In models with both NO2 and modeled traffic exposures, there were independent associations of asthma with traffic-related pollution at school and home, whereas the estimate for NO2 was attenuated (HR 1.37; 95% CI, 0.69-2.71). Conclusions: Traffic-related pollution exposure at school and homes may both contribute to the development of asthma. Editor's SummaryTraffic-related air pollution has been associated with adverse cardiorespiratory effects, including increased asthma prevalence. McConnell et al. (p. 1021) evaluated the relationship of new-onset asthma with traffic-related pollution near homes and schools. Parent-reported physician diagnosis of new-onset asthma was identified during 3 years of follow-up of a cohort of kindergarten and first-grade children who were asthma- and wheezing-free at study entry into the Southern California Children's Health Study. Traffic-related pollution exposure was assessed based on a line source dispersion model of traffic volume, distance from home and school, and local meteorology. Regional ambient ozone, nitrogen dioxide (NO2), and particulate matter were measured continuously at one central site monitor in each of 13 study communities. The authors report an increase in asthma risk with modeled traffic-related pollution exposure from roadways near homes and schools. Ambient NO2 was also associated with increased risk. Models that included both NO2 and modeled traffic exposures suggested independent associations of asthma with traffic-related pollution at school and at home, whereas the estimate for NO2 was attenuated. The authors conclude that traffic-related pollution exposure at school and home may both contribute to the development of asthma

Enabling event-triggered data plane monitoring

We propose a push-based approach to network monitoring that allows the detection, within the dataplane, of traffic aggregates. Notifications from the switch to the controller are sent only if required, avoiding the transmission or processing of unnecessary data. Furthermore, the dataplane iteratively refines the responsible IP prefixes, allowing the controller to receive information with a flexible granularity. We implemented our solution, Elastic Trie, in P4 and for two different FPGA devices. We evaluated it with packet traces from an ISP backbone. Our approach can spot changes in the traffic patterns and detect (with 95% of accuracy) either hierarchical heavy hitters with less than 8KB or superspreaders with less than 300KB of memory, respectively. Additionally, it reduces controller-dataplane communication overheads by up to two orders of magnitude with respect to state-of-the-art solutions

Reduced amino acid alphabets exhibit an improved sensitivity and selectivity in fold assignment

Motivation: Many proteins with vastly dissimilar sequences are found to share a common fold, as evidenced in the wealth of structures now available in the Protein Data Bank. One idea that has found success in various applications is the concept of a reduced amino acid alphabet, wherein similar amino acids are clustered together. Given the structural similarity exhibited by many apparently dissimilar sequences, we undertook this study looking for improvements in fold recognition by comparing protein sequences written in a reduced alphabet. Results: We tested over 150 of the amino acid clustering schemes proposed in the literature with all-versus-all pairwise sequence alignments of sequences in the Distance matrix alignment (DALI) database. We combined several metrics from information retrieval popular in the literature: mean precision, area under the Receiver Operating Characteristic curve and recall at a fixed error rate and found that, in contrast to previous work, reduced alphabets in many cases outperform full alphabets. We find that reduced alphabets can perform at a level comparable to full alphabets in correct pairwise alignment of sequences and can show increased sensitivity to pairs of sequences with structural similarity but low-sequence identity. Based on these results, we hypothesize that reduced alphabets may also show performance gains with more sophisticated methods such as profile and pattern searches