The Development of a Well-Being Program for Occupational Therapy Graduate Students

High levels of stress among occupational therapy graduate students have led to the adoption of unhealthy coping habits such as poor nutrition, little exercise, and disrupted sleep. In response, many institutions have explored programming and even curricular changes to support student well-being. However, very few are built upon a strong theoretical foundation to address holistic well-being. Therefore, this paper describes how logic modeling was used to develop a student well-being program based on Facilitating Learning and Occupational Well-Being Using Research-Based Initiatives for Student Health (FLOURISH), a theoretical approach rooted in the Person-Environment-Occupation Performance Model. A well-being program delivered via a virtual community of practice for entry-level students at a Midwestern occupational therapy program was created to decrease stress and enhance overall well-being for the performance of learning. The program consisted of eight 50-minute sessions that met once per week and included topics of physical, mental, sociocultural, environmental, and occupational well-being. The student well-being program is one viable option that shows promise to empower students with a theoretical approach to address personal and professional well-being, which has the potential to translate into professional practice. In this article, we describe the well-being program and the theoretical approach in detail and illustrate how it can be used to improve occupational therapy student well-being

The Development of a Well-Being Program for Occupational Therapy Graduate Students

High levels of stress among occupational therapy graduate students have led to the adoption of unhealthy coping habits such as poor nutrition, little exercise, and disrupted sleep. In response, many institutions have explored programming and even curricular changes to support student well-being. However, very few are built upon a strong theoretical foundation to address holistic well-being. Therefore, this paper describes how logic modeling was used to develop a student well-being program based on Facilitating Learning and Occupational Well-Being Using Research-Based Initiatives for Student Health (FLOURISH), a theoretical approach rooted in the Person-Environment-Occupation Performance Model. A well-being program delivered via a virtual community of practice for entry-level students at a Midwestern occupational therapy program was created to decrease stress and enhance overall well-being for the performance of learning. The program consisted of eight 50-minute sessions that met once per week and included topics of physical, mental, sociocultural, environmental, and occupational well-being. The student well-being program is one viable option that shows promise to empower students with a theoretical approach to address personal and professional well-being, which has the potential to translate into professional practice. In this article, we describe the well-being program and the theoretical approach in detail and illustrate how it can be used to improve occupational therapy student well-being

SiC Detectors for Sub-GeV Dark Matter

We propose the use of silicon carbide (SiC) for direct detection of sub-GeV dark matter. SiC has properties similar to both silicon and diamond, but has two key advantages: (i) it is a polar semiconductor which allows sensitivity to a broader range of dark matter candidates; and (ii) it exists in many stable polymorphs with varying physical properties, and hence has tunable sensitivity to various dark matter models. We show that SiC is an excellent target to search for electron, nuclear and phonon excitations from scattering of dark matter down to 10 keV in mass, as well as for absorption processes of dark matter down to 10 meV in mass. Combined with its widespread use as an alternative to silicon in other detector technologies and its availability compared to diamond, our results demonstrate that SiC holds much promise as a novel dark matter detector.Comment: 28 pages, 11 figure

Silicon carbide detectors for sub-GeV dark matter

We propose the use of silicon carbide (SiC) for direct detection of sub-GeV dark matter. SiC has properties similar to both silicon and diamond but has two key advantages: (i) it is a polar semiconductor which allows sensitivity to a broader range of dark matter candidates; and (ii) it exists in many stable polymorphs with varying physical properties and hence has tunable sensitivity to various dark matter models. We show that SiC is an excellent target to search for electron, nuclear and phonon excitations from scattering of dark matter down to 10 keV in mass, as well as for absorption processes of dark matter down to 10 meV in mass. Combined with its widespread use as an alternative to silicon in other detector technologies and its availability compared to diamond, our results demonstrate that SiC holds much promise as a novel dark matter detector

Discovery and genotyping of structural variation from long-read haploid genome sequence data

In an effort to more fully understand the full spectrum of human genetic variation, we generated deep single-molecule, real-time (SMRT) sequencing data from two haploid human genomes. By using an assembly-based approach (SMRT-SV), we systematically assessed each genome independently for structural variants (SVs) and indels resolving the sequence structure of 461,553 genetic variants from 2 bp to 28 kbp in length. We find that &gt;89% of these variants have been missed as part of analysis of the 1000 Genomes Project even after adjusting for more common variants (MAF &gt; 1%). We estimate that this theoretical human diploid differs by as much as ∼16 Mbp with respect to the human reference, with long-read sequencing data providing a fivefold increase in sensitivity for genetic variants ranging in size from 7 bp to 1 kbp compared with short-read sequence data. Although a large fraction of genetic variants were not detected by short-read approaches, once the alternate allele is sequence-resolved, we show that 61% of SVs can be genotyped in short-read sequence data sets with high accuracy. Uncoupling discovery from genotyping thus allows for the majority of this missed common variation to be genotyped in the human population. Interestingly, when we repeat SV detection on a pseudodiploid genome constructed in silico by merging the two haploids, we find that ∼59% of the heterozygous SVs are no longer detected by SMRT-SV. These results indicate that haploid resolution of long-read sequencing data will significantly increase sensitivity of SV detection.</jats:p

Multifocal clonal evolution characterized using circulating tumour DNA in a case of metastatic breast cancer.

Circulating tumour DNA analysis can be used to track tumour burden and analyse cancer genomes non-invasively but the extent to which it represents metastatic heterogeneity is unknown. Here we follow a patient with metastatic ER-positive and HER2-positive breast cancer receiving two lines of targeted therapy over 3 years. We characterize genomic architecture and infer clonal evolution in eight tumour biopsies and nine plasma samples collected over 1,193 days of clinical follow-up using exome and targeted amplicon sequencing. Mutation levels in the plasma samples reflect the clonal hierarchy inferred from sequencing of tumour biopsies. Serial changes in circulating levels of sub-clonal private mutations correlate with different treatment responses between metastatic sites. This comparison of biopsy and plasma samples in a single patient with metastatic breast cancer shows that circulating tumour DNA can allow real-time sampling of multifocal clonal evolution.We thank the Human Research Tissue Bank at Addenbrooke’s Hospital which is supported by the NIHR Cambridge Biomedical Research Centre. We acknowledge the support of Cancer Research UK, the University of Cambridge, National Institute for Health Research Cambridge Biomedical Research Centre and Cambridge Experimental Cancer Medicine Centre. Dr. Dawson was supported by an Australian National Breast Cancer Foundation and Victorian Cancer Agency Early Career Fellowship. Dr. Murtaza was supported by Science Foundation Arizona’s Bisgrove Scholars Early Tenure Track award.This is the final version of the article. It first appeared from Nature Publishing Group via http://dx.doi.org/10.1038/ncomms976

P53 and Pten control neural and glioma stem/progenitor cell renewal and differentiation

Glioblastoma (GBM) is a highly lethal brain tumor presenting as one of two subtypes with distinct clinical histories and molecular profiles. The primary GBM subtype presents acutely as high-grade disease that typically harbors EGFR, Pten and Ink4a/Arf mutations, and the secondary GBM subtype evolves from the slow progression of low-grade disease that classically possesses PDGF and p53 events1–3. Here, we show that concomitant CNS-specific deletion of p53 and Pten in the mouse CNS generates a penetrant acute-onset high-grade malignant glioma phenotype with striking clinical, pathological and molecular resemblance to primary GBM in humans. This genetic observation prompted p53 and Pten mutational analysis in human primary GBM, demonstrating unexpectedly frequent inactivating mutations of p53 as well the expected Pten mutations. Integrated transcriptomic profiling, in silico promoter analysis and functional studies of murine neural stem cells (NSCs) established that dual, but not singular, inactivation of p53 and Pten promotes an undifferentiated state with high renewal potential and drives elevated c-Myc levels and its associated signature. Functional studies validated increased c-Myc activity as a potent contributor to the impaired differentiation and enhanced renewal of p53-Pten null NSCs as well as tumor neurospheres (TNSs) derived from this model. c-Myc also serves to maintain robust tumorigenic potential of p53-Pten null TNSs. These murine modeling studies, together with confirmatory transcriptomic/promoter studies in human primary GBM, validate a pathogenetic role of a common tumor suppressor mutation profile in human primary GBM and establish c-Myc as a key target for cooperative actions of p53 and Pten in the regulation of normal and malignant stem/progenitor cell differentiation, self-renewal and tumorigenic potential

A Guide for Social Science Journal Editors on Easing into Open Science

Journal editors have a large amount of power to advance open science in their respective fields by incentivising and mandating open policies and practices at their journals. The Data PASS Journal Editors Discussion Interface (JEDI, an online community for social science journal editors: www.dpjedi.org) has collated several resources on embedding open science in journal editing (www.dpjedi.org/resources). However, it can be overwhelming as an editor new to open science practices to know where to start. For this reason, we created a guide for journal editors on how to get started with open science. The guide outlines steps that editors can take to implement open policies and practices within their journal, and goes through the what, why, how, and worries of each policy and practice. This manuscript introduces and summarizes the guide (full guide: https://osf.io/hstcx).<br/