545 research outputs found

    Systematic review of qualitative evaluations of reentry programs addressing problematic drug use and mental health disorders amongst people transitioning from prison to communities

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    © 2018, The Author(s). Background: The paper presents a systematic review and metasynthesis of findings from qualitative evaluations of community reentry programs. The programs sought to engage recently released adult prison inmates with either problematic drug use or a mental health disorder. Methods: Seven biomedical and social science databases, Cinahl, Pubmed, Scopus, Proquest, Medline, Sociological abstracts and Web of Science and publisher database Taylor and Francis were searched in 2016 resulting in 2373 potential papers. Abstract reviews left 140 papers of which 8 were included after detailed review. Major themes and subthemes were identified through grounded theory inductive analysis of results from the eight papers. Of the final eight papers the majority (6) were from the United States. In total, the papers covered 405 interviews and included 121 (30%) females and 284 (70%) males. Results: Findings suggest that the interpersonal skills of case workers; access to social support and housing; and continuity of case worker relationships throughout the pre-release and post-release period are key social and structural factors in program success. Conclusion: Evaluation of community reentry programs requires qualitative data to contextualize statistical findings and identify social and structural factors that impact on reducing incarceration and improving participant health. These aspects of program efficacy have implications for reentry program development and staff training and broader social and health policy and services

    Genetic-algorithm-based design of groundwater quality monitoring system

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    This research builds on the work of Meyer and Brill [I988] and subsequent work by Meyer et al. [1990], Meyer et al. [1992], and Meyer [I992] on the optimal location of a network of groundwater monitoring wells under conditions of uncertainty. A method of optimization is developed using genetic algorithms (GAS) which allows consideration of the two objectives of Meyer et al. [1992], maximizing reliability and minimizing contaminated area, separately yet simultaneously. The GA-based solution method can generate both convex and non-convex points of the tradeoff curve, can accommodate non-linearities in the two objective functions, and is not restricted to the peculiarities of a weighted objective function. Furthermore, GAS can generate large portions of the tradeoff curve in a single iteration and may be more efficient than methods that generate only a single point at a time.Four multi-objective GAS formulations are investigated and their performance in generating the multi-objective tradeoff curve is evaluated for the groundwater monitoring problem using two example data sets. The GA formulations are compared to each other and to simulated annealing on both performance and computational intensity.The simulated annealing based technique used by Meyer et al. [I992] relies on a weighted objective function which finds only a single point along the tradeoff curve for each iteration, while the multiple-objective GA formulations are able to find many convex and nonconvex points along the tradeoff curve in a single iteration. Each iteration of simulated annealing is approximately five times faster than an iteration of the genetic algorithm, but several simulated annealing iterations are required to generate the tradeoff curve. GAS are able to find a larger number of non-dominated points on the tradeoff curve in a single iteration, and are therefore just as computationally efficient as simulated annealing in terms of generating the tradeoff curves.None of the GA formulations demonstrate the ability to generate the entire tradeoff curve in a single iteration, but they yield either a good estimation of all regions of the tradeoff curve except the very highest and very lowest reliability ends or a good estimation of the high reliability end alone.U.S. Department of the InteriorU.S. Geological Surve

    The Validity Of 7-Site Skinfold Measurements Taken By Exercise Science Students

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    International Journal of Exercise Science 6(1) : 20-28, 2013. Skinfold (SKF) measurement is arguably the most ubiquitous method of estimating percent body fat (%BF) because of cost, ease, and feasibility. However, it is unknown how accurately novice exercise science students measure SKF thickness. Thus, the purpose of this study was to determine the validity with which exercise science students in an Exercise Physiology course measured skinfold thickness and estimated percent body fat (%BF) when compared to a skilled technician. Twenty-three novice undergraduate students were afforded both verbal measurement instruction and visual measurement demonstration and, subsequently, assessed SKF thicknesses of a male and female testee. %BF was calculated using measurements obtained by the skilled technician and students. Comparisons were made between measurements taken by the skilled technician and students using error, absolute error, and one sample t-tests. For the female testee, average error ranged from -0.5 mm to -4.8 mm for the 7-sites, 1.7±15.4 mm for the sum of 7-sites, and -3.7±2.6% for %BF. The average absolute error ranged from 1.2 mm to 4.9 mm for the 7-sites, 23.3±12.7 mm for the sum of 7-sites, and 3.9±2.2% for %BF. For the male testee, average error ranged from 0.0 mm to 0.9 mm for the 7-sites, 2.9±8.5 mm for the sum of 7-sites, and 0.5±1.4% for %BF. The average absolute error ranged from 0.6 mm to 1.1 mm for the 7-sites, 4.8±7.5 mm for the sum of 7-sites, and 0.8±1.2% for BF%. The one sample t-tests revealed no significant differences in the sum of 7-sites and %BF for the male model (p\u3e0.05), but significant differences were found for the female model (p\u3c0.05). From a practical perspective, when novice exercise science students were provided both verbal and visual instructions of SKF measurement technique, students were able to accurately assess %BF of a male testee as compared to the skilled technician. With respect to the female testee, however, students underestimated the sum of the 7 SKF sites by ~ 20 mm when compared to the skilled technician. Additional tutelage and practice may be necessary when teaching SKF measurement of females and/or individuals with higher %BF to novice undergraduate exercise science students

    Photoaffinity labeling with cholesterol analogues precisely maps a cholesterol-binding site in voltage-dependent anion channel-1

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    Voltage-dependent anion channel-1 (VDAC1) is a highly regulated β-barrel membrane protein that mediates transport of ions and metabolites between the mitochondria and cytosol of the cell. VDAC1 co-purifies with cholesterol and is functionally regulated by cholesterol, among other endogenous lipids. Molecular modeling studies based on NMR observations have suggested five cholesterol-binding sites in VDAC1, but direct experimental evidence for these sites is lacking. Here, to determine the sites of cholesterol binding, we photolabeled purified mouse VDAC1 (mVDAC1) with photoactivatable cholesterol analogues and analyzed the photolabeled sites with both top-down mass spectrometry (MS), and bottom-up MS paired with a clickable, stable isotope-labeled tag, FLI-tag. Using cholesterol analogues with a diazirine in either the 7 position of the steroid ring (LKM38) or the aliphatic tail (KK174), we mapped a binding pocket in mVDAC1 localized to Thr83 and Glu73, respectively. When Glu73 was mutated to a glutamine, KK174 no longer photolabeled this residue, but instead labeled the nearby Tyr62 within this same binding pocket. The combination of analytical strategies employed in this work permits detailed molecular mapping of a cholesterol-binding site in a protein, including an orientation of the sterol within the site. Our work raises the interesting possibility that cholesterol-mediated regulation of VDAC1 may be facilitated through a specific binding site at the functionally important Glu73 residue

    Multiple functional neurosteroid binding sites on GABAA receptors

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    Neurosteroids are endogenous modulators of neuronal excitability and nervous system development and are being developed as anesthetic agents and treatments for psychiatric diseases. While gamma amino-butyric acid Type A (GABAA) receptors are the primary molecular targets of neurosteroid action, the structural details of neurosteroid binding to these proteins remain ill defined. We synthesized neurosteroid analogue photolabeling reagents in which the photolabeling groups were placed at three positions around the neurosteroid ring structure, enabling identification of binding sites and mapping of neurosteroid orientation within these sites. Using middle-down mass spectrometry (MS), we identified three clusters of photolabeled residues representing three distinct neurosteroid binding sites in the human α1β3 GABAA receptor. Novel intrasubunit binding sites were identified within the transmembrane helical bundles of both the α1 (labeled residues α1-N408, Y415) and β3 (labeled residue β3-Y442) subunits, adjacent to the extracellular domains (ECDs). An intersubunit site (labeled residues β3-L294 and G308) in the interface between the β3(+) and α1(-) subunits of the GABAA receptor pentamer was also identified. Computational docking studies of neurosteroid to the three sites predicted critical residues contributing to neurosteroid interaction with the GABAA receptors. Electrophysiological studies of receptors with mutations based on these predictions (α1-V227W, N408A/Y411F, and Q242L) indicate that both the α1 intrasubunit and β3-α1 intersubunit sites are critical for neurosteroid action

    Fears, Reassurance, and Milestones: A Twitter Analysis around World Prematurity Day during the COVID-19 Pandemic

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    Preterm birth (birth &lt;37 completed weeks’ gestation) is common, affecting 10.6% of live births globally (nearly 15 million babies per year). Having a new baby admitted to a neonatal unit often triggers stress and anxiety for parents. This paper seeks to explore experiences of preterm birth via Twitter. The intermingling of COVID-19 restrictions and World Prematurity Day allows for an understanding of both the additional stresses incurred as a consequence of the pandemic and the more “everyday” experiences in the NICU and beyond. The content analysis of the data included 3161 tweets. Three themes were identified: 1. COVID-19 was not the only trauma; 2. Raising awareness, especially World Prematurity Day; and, 3. Baby milestones. These themes highlight the multi-level challenges faced by parents of premature babies and the healthcare professionals involved in their care. The COVID-19 pandemic and the consequent restrictions imposed on parents’ contact with their babies have resulted in immense emotional strain for families. The reported COVID-19 pandemic “baby blind spot” appears to particularly impact this group of babies. Improved understanding of the lived experiences of preterm babies and their families should inform greater awareness and improved support.</jats:p

    Adaptable P body physical states differentially regulate bicoid mRNA storage during early Drosophila development.

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    Ribonucleoprotein condensates can exhibit diverse physical states in vitro and in vivo. Despite considerable progress, the relevance of condensate physical states for in vivo biological function remains limited. Here, we investigated the physical properties of processing bodies (P bodies) and their impact on mRNA storage in mature Drosophila oocytes. We show that the conserved DEAD-box RNA helicase Me31B forms viscous P body condensates, which adopt an arrested physical state. We demonstrate that structurally distinct proteins and protein-protein interactions, together with RNA, regulate the physical properties of P bodies. Using live imaging and in situ hybridization, we show that the arrested state and integrity of P bodies support the storage of bicoid (bcd) mRNA and that egg activation modulates P body properties, leading to the release of bcd for translation in the early embryo. Together, this work provides an example of how physical states of condensates regulate cellular function in development

    Cardiomyocyte Deletion of \u3ci\u3eBmal1\u3c/i\u3e Exacerbates QT- and RR-Interval Prolongation in \u3ci\u3eScn5a\u3c/i\u3e\u3csup\u3e+/ΔKPQ\u3c/sup\u3e Mice

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    Circadian rhythms are generated by cell autonomous circadian clocks that perform a ubiquitous cellular time-keeping function and cell type-specific functions important for normal physiology. Studies show inducing the deletion of the core circadian clock transcription factor Bmal1 in adult mouse cardiomyocytes disrupts cardiac circadian clock function, cardiac ion channel expression, slows heart rate, and prolongs the QT-interval at slow heart rates. This study determined how inducing the deletion of Bmal1 in adult cardiomyocytes impacted the in vivo electrophysiological phenotype of a knock-in mouse model for the arrhythmogenic long QT syndrome (Scn5a+/ΔKPQ). Electrocardiographic telemetry showed inducing the deletion of Bmal1 in the cardiomyocytes of mice with or without the ΔKPQ-Scn5a mutation increased the QT-interval at RR-intervals that were ≥130 ms. Inducing the deletion of Bmal1 in the cardiomyocytes of mice with or without the ΔKPQ-Scn5a mutation also increased the day/night rhythm-adjusted mean in the RR-interval, but it did not change the period, phase or amplitude. Compared to mice without the ΔKPQ-Scn5a mutation, mice with the ΔKPQ-Scn5a mutation had reduced heart rate variability (HRV) during the peak of the day/night rhythm in the RR-interval. Inducing the deletion of Bmal1 in cardiomyocytes did not affect HRV in mice without the ΔKPQ-Scn5a mutation, but it did increase HRV in mice with the ΔKPQ-Scn5a mutation. The data demonstrate that deleting Bmal1 in cardiomyocytes exacerbates QT- and RR-interval prolongation in mice with the ΔKPQ-Scn5a mutation
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