IMPROVING PHYSICAL LITERACY IN MIDDLE SCHOOL INDIGENOUS AND NON-INDIGENOUS STUDENTS

Physical activity levels in Canadian youth are decreasing. This Organizational Improvement Plan (OIP) focuses on improving physical literacy in middle school Indigenous and non-Indigenous students in a Northern Ontario urban school. The Daily Physical Activity (DPA) policy in Ontario public elementary schools has achieved about 50% fidelity in classrooms since its inception in 2005 (Allison, et al., 2016; Ontario Agency for Health Protection and Promotion, 2015, p. 60). Leading a physically active lifestyle is essential for education outcomes, public health, and general health and wellbeing. Improving physical literacy in youth increases their motivation to be physically active, and through a Quality Daily Physical Education (QDPE) program, can also increase student achievement significantly (Dudley, 2019, October 8; PHE, 2020). Students engaged in physical education programming where learning is prioritized are more motivated to learn across all subjects (Dudley, 2018). From a public health perspective, the urgency for Canadians to become more active has never been more critical. The rate of non-communicated diseases (NCDs) can be reduced significantly by meeting the Canadian Society for Exercise Physiology (CSEP) physical activity guidelines. At the current rate, 50% of non-Indigenous and 80% of Indigenous youth will develop diabetes in their lifetime (Diabetes Canada, 2018). Currently, only 35% of five to seventeen-year-olds, and under 16% of 18-79 year-olds, are meeting CSEP’s physical activity guidelines (ParticipACTION, 2018). This OIP explores how a culturally responsive framework along with community connections are essential in improving physical literacy in middle school Indigenous and non-Indigenous students. Developing physically literate youth is essential for the future of our youth, education system, and public healthcare

Biological activity of Bacillus spp. evaluated on eggs and larvae of red palm weevil Rhynchophorus ferrugineus

This study was conducted to characterize the Bacillus populations associated with dead Rhynchophorus ferrugineus, to develop a biological control for the red palm weevil. Dead adult beetles, collected throughout Sicily, were used for isolating internal and external spore forming bacteria (SFB) microbiota. The isolates, preliminarily allotted to the Bacillaceae family, were tested at 4 concentrations (103 to 106 CFU/mL) for their ability to inhibit hatching of eggs of R. ferrugineus and were used at 106 CFU/mL to monitor their insecticidal activity against 10 day-old larvae. Total amounts of SFB measured outside the skeleton and in the inners part of the beetles were 5.59-6.94 and 5.17-7.05 Log CFU/g, respectively. Hatching was inhibited markedly by 9 isolates, representing 9 distinct strains of 7 species (Bacillus amyloliquefaciens, Bacillus cereus, Bacillus licheniformis, Bacillus megaterium, Bacillus pumilus, Bacillus subtilis, and Lysinibacillus sphaericus), especially by the strains B. pumilus GC43 and GC51, which exhibited lethal concentrations 50 (LC50) values of 1.60 × 103 and 9.84 × 103 CFU/mL, respectively. Among all the strains tested, only B. licheniformis CG62 exhibited significant insecticidal activity against red palm weevil larvae. The Bacillus isolates characterized and tested in this study inhibited the hatching of red palm weevils in a contact-dependent manner. Thus, these isolates can be used as a preventive rather than as a curative treatment. Keywords Bacillus, Rhynchophorus ferrugineus, hatching assays, larvae, Pal

Experiences with workflows for automating data-intensive bioinformatics

High-throughput technologies, such as next-generation sequencing, have turned molecular biology into a data-intensive discipline, requiring bioinformaticians to use high-performance computing resources and carry out data management and analysis tasks on large scale. Workflow systems can be useful to simplify construction of analysis pipelines that automate tasks, support reproducibility and provide measures for fault-tolerance. However, workflow systems can incur significant development and administration overhead so bioinformatics pipelines are often still built without them. We present the experiences with workflows and workflow systems within the bioinformatics community participating in a series of hackathons and workshops of the EU COST action SeqAhead. The organizations are working on similar problems, but we have addressed them with different strategies and solutions. This fragmentation of efforts is inefficient and leads to redundant and incompatible solutions. Based on our experiences we define a set of recommendations for future systems to enable efficient yet simple bioinformatics workflow construction and execution.Pubblicat

Study of interstrip gap effects and efficiency for full energy detection of Double Sided Silicon Strip Detectors

In this work is reported a study on the response of double sided silicon strip detectors. In order to investigate the effect of the electrode segmentation on the detector response, two experiments were performed aimed to measure the efficiency for full energy detection. Results show that the efficiency for full energy detection, that is directly related to effective width of the inter-strip region, varies with both detected ion energy and bias voltage. The experimental results are qualitatively reproduced by a simplified model based on the Shockley-Ramo-Gunn framework

Circumstances leading to injurious falls in older men and women in the Netherlands

Background Fall-induced injuries in persons aged 65 years and older are a major public health problem. Data regarding circumstances leading to specific injuries, such as traumatic brain injury (TBI) and hip fractures in older adults are scarce. Objective To investigate the activity distributions leading to indoor and outdoor falls requiring an emergency department (ED) visit, and those resulting in TBIs and hip fractures. Participants 5880 older adults who visited the ED due to a fall. Methods Data is descriptive and stratified by age and gender. Results Two-thirds of all falls occurred indoors. However, there were higher proportions of outdoor falls at ages 65-79 years (48%). Walking up or down stairs (51%) and housekeeping (17%) were the most common indoor activities leading to a TBIs. Walking (42%) and sitting or standing (16%) was the most common indoor activities leading to a hip fracture. The most common outdoor activities were walking (61% for TBIs and 57% for hip fractures) and cycling (10% for TBIs and 24% for hip fractures). Conclusion In the present study we found that the indoor activities distribution leading to TBIs and hip fractures differed. Notably, about half of the traumatic brain injuries and hip fractures in men and women aged 65-79 years occurred outdoors. This study provides new insights into patterns leading to injurious falls by age, gender and injury type, and may guide the targeting of falls prevention at specific activities and risk groups, including highly functional older men and women

High Diagnostic Yield of Whole Exome Sequencing in Participants With Retinal Dystrophies in a Clinical Ophthalmology Setting

To assess the diagnostic yield and the practicality of implementing whole exome sequencing within a clinical ophthalmology setting

A standardized, evidence-based protocol to assess clinical actionability of genetic disorders associated with genomic variation

Genome and exome sequencing can identify variants unrelated to the primary goal of sequencing. Detecting pathogenic variants associated with an increased risk of a medical disorder enables clinical interventions to improve future health outcomes in patients and their at-risk relatives. The Clinical Genome Resource, or ClinGen, aims to assess clinical actionability of genes and associated disorders as part of a larger effort to build a central resource of information regarding the clinical relevance of genomic variation for use in precision medicine and research

Evaluating the Clinical Validity of Gene-Disease Associations: An Evidence-Based Framework Developed by the Clinical Genome Resource

Supplemental Data Supplemental Data include 65 figures and can be found with this article online at http://dx.doi.org/10.1016/j.ajhg.2017.04.015. Supplemental Data Document S1. Figures S1–S65 Download Document S2. Article plus Supplemental Data Download Web Resources ClinGen, https://www.clinicalgenome.org/ ClinGen Gene Curation, https://www.clinicalgenome.org/working-groups/gene-curation/ ClinGen Gene Curation SOP, https://www.clinicalgenome.org/working-groups/gene-curation/projects-initiatives/gene-disease-clinical-validity-sop/ ClinGen Knowledge Base, https://search.clinicalgenome.org/kb/agents/sign_up OMIM, http://www.omim.org/ Orphanet, http://www.orpha.net/consor/cgi-bin/index.php With advances in genomic sequencing technology, the number of reported gene-disease relationships has rapidly expanded. However, the evidence supporting these claims varies widely, confounding accurate evaluation of genomic variation in a clinical setting. Despite the critical need to differentiate clinically valid relationships from less well-substantiated relationships, standard guidelines for such evaluation do not currently exist. The NIH-funded Clinical Genome Resource (ClinGen) has developed a framework to define and evaluate the clinical validity of gene-disease pairs across a variety of Mendelian disorders. In this manuscript we describe a proposed framework to evaluate relevant genetic and experimental evidence supporting or contradicting a gene-disease relationship and the subsequent validation of this framework using a set of representative gene-disease pairs. The framework provides a semiquantitative measurement for the strength of evidence of a gene-disease relationship that correlates to a qualitative classification: “Definitive,” “Strong,” “Moderate,” “Limited,” “No Reported Evidence,” or “Conflicting Evidence.” Within the ClinGen structure, classifications derived with this framework are reviewed and confirmed or adjusted based on clinical expertise of appropriate disease experts. Detailed guidance for utilizing this framework and access to the curation interface is available on our website. This evidence-based, systematic method to assess the strength of gene-disease relationships will facilitate more knowledgeable utilization of genomic variants in clinical and research settings