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ced deep learning models can significantly improve performance in downstream bioinformatics studies and biomedical text-mining applications. Our BioConceptVec embeddings and benchmarking datasets are publicly available at https//github.com/ncbi-nlp/BioConceptVec.The network architecture of an ecological community describes the structure of species interactions established in a given place and time. It has been suggested that this architecture presents unique features for each type of ecological interaction e.g., nested and modular architectures would correspond to mutualistic and antagonistic interactions, respectively. Recently, Michalska-Smith and Allesina (2019) proposed a computational challenge to test whether it is indeed possible to differentiate ecological interactions based on network architecture. Contrary to the expectation, they found that this differentiation is practically impossible, moving the question to why it is not possible to differentiate ecological interactions based on their network architecture alone. Here, we show that this differentiation becomes possible by adding the local environmental information where the networks were sampled. We show that this can be explained by the fact that environmental conditions are a confounder of ecological interactions and network architecture. That is, the lack of association between network architecture and type of ecological interactions changes by conditioning on the local environmental conditions. Additionally, we find that environmental conditions are linked to the stability of ecological networks, but the direction of this effect depends on the type of interaction network. This suggests that the association between ecological interactions and network architectures exists, but cannot be fully understood without attention to the environmental conditions acting upon them.The Assam Roofed Turtle, Pangshura sylhetensis is an endangered and least studied species endemic to India and Bangladesh. The present study decodes the first complete mitochondrial genome of P. sylhetensis (16,568 bp) by using next-generation sequencing. The assembly encodes 13 protein-coding genes (PCGs), 22 transfer RNAs (tRNAs), two ribosomal RNAs (rRNAs), and one control region (CR). Most of the genes were encoded on the majority strand, except NADH dehydrogenase subunit 6 (nad6) and eight tRNAs. All PCGs start with an ATG initiation codon, except for Cytochrome oxidase subunit 1 (cox1) and NADH dehydrogenase subunit 5 (nad5), which both start with GTG codon. The study also found the typical cloverleaf secondary structures in most of the predicted tRNA structures, except for serine (trnS1) which lacks of conventional DHU arm and loop. Both Bayesian and maximum-likelihood phylogenetic inference using 13 concatenated PCGs demonstrated strong support for the monophyly of all 52 Testudines species within their respective families and revealed Batagur trivittata as the nearest neighbor of P. sylhetensis. The mitogenomic phylogeny with other amniotes is congruent with previous research, supporting the sister relationship of Testudines and Archosaurians (birds and crocodilians). Additionally, the mitochondrial Gene Order (GO) analysis indicated plesiomorphy with the typical vertebrate GO in most of the Testudines species.Preexposure prophylaxis (PrEP) with antiretroviral medication has been proven effective in reducing the risk for acquiring human immunodeficiency virus (HIV). The fixed-dose combination tablet of tenofovir disoproxil fumarate (TDF)/emtricitabine (FTC) was approved by the U.S. Food and Drug Administration (FDA) for use as PrEP for adults in 2012. Since then, recognition has been increasing that adolescents at risk for acquiring HIV can benefit from PrEP. In 2018, FDA approved revised labeling for TDF/FTC that expanded the indication for PrEP to include adolescents weighing at least 77 lb (35 kg) who are at risk for acquiring HIV. [https://www.selleckchem.com/products/nvp-tnks656.html NVP-TNKS656 purchase] In 2019, FDA approved the combination product tenofovir alafenamide (TAF)/FTC as PrEP for adolescents and adults weighing at least 77 lb (35 kg), excluding those at risk for acquiring HIV through receptive vaginal sex. This exclusion is due to the lack of clinical data regarding the efficacy of TAF/FTC in cisgender women.Clinical providers who evaluate adolescents for PrEP use must coates - 2017 Update Clinical Providers' Supplement (https//www.cdc.gov/hiv/clinicians/prevention/prep.html).On January 19, 2020, the state of Washington reported the first U.S. laboratory-confirmed case of coronavirus disease 2019 (COVID-19) caused by infection with SARS-CoV-2 (1). As of April 19, a total of 720,630 COVID-19 cases and 37,202 associated deaths* had been reported to CDC from all 50 states, the District of Columbia, and four U.S. territories (2). CDC recommends, with precautions, the proper cleaning and disinfection of high-touch surfaces to help mitigate the transmission of SARS-CoV-2 (3). To assess whether there might be a possible association between COVID-19 cleaning recommendations from public health agencies and the media and the number of chemical exposures reported to the National Poison Data System (NPDS), CDC and the American Association of Poison Control Centers surveillance team compared the number of exposures reported for the period January-March 2020 with the number of reports during the same 3-month period in 2018 and 2019. Fifty-five poison centers in the United States provide free, 24-hour professional advice and medical management information regarding exposures to poisons, chemicals, drugs, and medications. Call data from poison centers are uploaded in near real-time to NPDS. During January-March 2020, poison centers received 45,550 exposure calls related to cleaners (28,158) and disinfectants (17,392), representing overall increases of 20.4% and 16.4% from January-March 2019 (37,822) and January-March 2018 (39,122), respectively. Although NPDS data do not provide information showing a definite link between exposures and COVID-19 cleaning efforts, there appears to be a clear temporal association with increased use of these products.Circulating vaccine-derived polioviruses (cVDPVs) can emerge in areas with low poliovirus immunity and cause outbreaks* of paralytic polio (1-5). Among the three types of wild poliovirus, type 2 was declared eradicated in 2015 (1,2). The use of trivalent oral poliovirus vaccine (tOPV; types 1, 2, and 3 Sabin strains) ceased in April 2016 via a 1-month-long, global synchronized switch to bivalent OPV (bOPV; types 1 and 3 Sabin strains) in immunization activities (1-4). Monovalent type 2 OPV (mOPV2; type 2 Sabin strain) is available for cVDPV type 2 (cVDPV2) outbreak response immunization (1-5). The number and geographic breadth of post-switch cVDPV2 outbreaks have exceeded forecasts that trended toward zero outbreaks 4 years after the switch and assumed rapid and effective control of any that occurred (4). New cVDPV2 outbreaks have been seeded by mOPV2 use, by both suboptimal mOPV2 coverage within response zones and recently mOPV2-vaccinated children or contacts traveling outside of response zones, where children born after the global switch are fully susceptible to poliovirus type 2 transmission (2-4). In addition, new emergences can develop by inadvertent exposure to Sabin OPV2-containing vaccine (i.e., residual response mOPV2 or tOPV) (4). This report updates the January 2018-June 2019 report with information on global cVDPV outbreaks during July 2019-February 2020 (as of March 25, 2020)† (2). Among 33 cVDPV outbreaks reported during July 2019-February 2020, 31 (94%) were cVDPV2; 18 (58%) of these followed new emergences. In mid-2020, the Global Polio Eradication Initiative (GPEI) plans to introduce a genetically stabilized, novel OPV type 2 (nOPV2) that has a lower risk for generating VDPV2 than does Sabin mOPV2; if nOPV2 is successful in limiting new VDPV2 emergences, GPEI foresees the replacement of Sabin mOPV2 with nOPV2 for cVDPV2 outbreak responses during 2021 (2,4,6).BACKGROUND Studies have shown that bariatric surgery, such as sleeve gastrectomy (SG), has an adverse effect on bone, including decreased bone mineral density (BMD) and bone metabolism. Peripheral 5-hydroxytryptamine (5-HT) has an adverse regulatory effect on bone formation. Here, we assessed changes in bone metabolism and whether 5-HT is involved in the effect of SG on bone metabolism. MATERIAL AND METHODS A rat model of obesity was established using Wistar rats. After successful modeling, rats were randomly assigned to 2 groups - the SG group and the Sham group - with 10 rats in each group. We then performed sleeve gastrectomy or sham operation. Bone metabolic markers and BMD of rats were measured at 2 and 16 weeks after the operation and the level of 5-HT in serum was determined. Rats were killed at 16 weeks after the operation, and bones of the hind limbs were harvested to measure 5-HT by immunofluorescence. RESULTS BMD was decreased and bone metabolism demonstrated a trend of bone destruction in the rats after SG. A significantly increasing trend in the level of serum 5-HT was found, and bone immunofluorescence showed increased expression of 5-HT. CONCLUSIONS BMD was decrease and bone metabolism demonstrated a trend of bone destruction after SG. SG can affect the level of 5-HT in serum or bone tissue and the 5-HT may be involved in the process through which SG affects bone metabolism.Baker, BS, Buchanan, SR, and Bemben, DA. Skeletal health and associated injury risk in collegiate female rowers. J Strength Cond Res XX(X) 000-000, 2020-Rowing has been associated with low bone mass and stress fractures. The aim of this study was to compare bone density, geometry, and skeletal asymmetries between competitive female rowers and matched controls and within rowers based on reported injury status, allowing for the calculation of practical injury risk prediction equations. Rowers (n = 24) and controls (n = 24) completed total body, lumbar spine, and and dual femur and radii dual energy x-ray absorptiometry and peripheral quantitative computed tomography scans. One-way analyses of covariance were performed between rowers and controls, and one-way analyses of variance were performed between rowers based on reported rib injury status (injured [n = 11]; injury-free [n = 13]). Logistic regression was used to create prediction models of rowers' injury status. Significance was set at p ≤ 0.05. Rowers were taller, had greater lean mass, less fat mass, and mostly equivalent skeletal measures compared to controls, which were within normal ranges (p less then 0.048). Injury-free rowers consumed over 500 mg·d more calcium and were less symmetrical at the 4% tibiae and hips (p less then 0.015). The strongest predictive regression model of reported rib injury in rowers comprised calcium intake and the symmetry index of hip strength index (R = 0.833; p less then 0.001). A more practical model including daily calcium intake and total bone specific physical activity (PA) scores can be used to correctly predict injury status 75% of the time (R = 0.750; p = 0.022). This is the first study to provide practitioners an injury prediction model for competitive rowers, reiterating the importance of proper nutrition and auxiliary PA focusing on balanced movement patterns.