Any Data, Any Time, Anywhere: Global Data Access for Science

Data access is key to science driven by distributed high-throughput computing (DHTC), an essential technology for many major research projects such as High Energy Physics (HEP) experiments. However, achieving efficient data access becomes quite difficult when many independent storage sites are involved because users are burdened with learning the intricacies of accessing each system and keeping careful track of data location. We present an alternate approach: the Any Data, Any Time, Anywhere infrastructure. Combining several existing software products, AAA presents a global, unified view of storage systems - a "data federation," a global filesystem for software delivery, and a workflow management system. We present how one HEP experiment, the Compact Muon Solenoid (CMS), is utilizing the AAA infrastructure and some simple performance metrics.Comment: 9 pages, 6 figures, submitted to 2nd IEEE/ACM International Symposium on Big Data Computing (BDC) 201

Real-time vapour sensing using an OFET-based electronic nose and genetic programming

Electronic noses (e-noses) are increasingly being used as vapour sensors in a range of application areas. E-noses made up of arrays of organic field-effect transistors (OFETs) are particularly valuable due the range and diversity of the information which they provide concerning analyte binding. This study demonstrates that arrays of OFETs, when combined with a data analysis technique using Genetic Programming (GP), can selectively detect airborne analytes in real time. The use of multiple parameters – on resistance, off current and mobility – collected from multiple transistors coated with different semiconducting polymers gives dramatic improvements in the sensitivity (true positive rate), specificity (true negative rate) and speed of sensing. Computer-controlled data collection allows the identification of analytes in real-time, with a time-lag between exposure and detection of the order of 4 s

Constance E. Lieber, Theodore R. Stanley, And The Enduring Impact Of Philanthropy On Psychiatry Research

Neuropsychiatric disorders constitute the single greatest source of the global burden of disease, but it seems that philanthropy and advocacy aimed at supporting research to alleviate the burden of these disorders often are overshadowed by corresponding efforts in many other areas of medicine. For example, the United States public donates five times more money to cancer than to mental health research, and for the United Kingdom public, the equivalent figure is a staggering 900 times more. In this context, it is particularly sobering that we recently lost two towering mental health advocates and philanthropists, Constance E. Lieber and Theodore R. Stanley. These two individuals made an enormous and enduring impact through the initiatives that they created and sustained, through their personal contributions, and through their ability to mobilize others. For the editors, editorial board members, and editorial committee members of Biological Psychiatry who constitute the authors of this commentary, the losses are personal. Each of us has received research support made possible through the actions of these unique individuals. In acknowledging our gratitude, we hope that our collective efforts to advance the understanding of mental illness and its treatment are a lasting testament to their impact

Author Correction: The mutational constraint spectrum quantified from variation in 141,456 humanS

In this Article, author Marquis P. Vawter was missing from the Genome Aggregation Database Consortium list. They are associated with the affiliation: ‘Department of Psychiatry & Human Behavior, University of California Irvine, Irvine, CA, USA’, and contributed to the generation of the primary data incorporated into the gnomAD resource. In addition, in the legend to Fig. 1, ‘ten’ should have been ‘seven’ in the sentence: “a, Uniform manifold approximation and projection (UMAP)46,47 plot depicting the ancestral diversity of all individuals in gnomAD, using seven principal components.” The original Article has been corrected online

Author Correction: Transcript expression-aware annotation improves rare variant interpretation

In this Article, author Marquis P. Vawter was missing from the Genome Aggregation Database Consortium list. They are associated with the affiliation: ‘Department of Psychiatry & Human Behavior, University of California Irvine, Irvine, CA, USA’, and contributed to the generation of the primary data incorporated into the gnomAD resource. The original Article has been corrected online