881 research outputs found

    Beyond Scope of Practice: Inferring High School Tennis Coaches' Behavior from their Nutrition and Eating Disorder Knowledge

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    The primary purpose of this study was to assess high school tennis coaches’ knowledge of macronutrients and disordered eating (e.g., etiology). Other purposes included identifying confidence in knowledge and any differences between the participating coaches’ knowledge and demographic variables. To address these purposes, the 27-question Nutrition and Eating Disorders in Tennis (“NET”) Survey was created. The study design involved a one-time voluntary assessment of the Indiana coaches’ demographic variables, knowledge, sources of knowledge, and level of confidence (e.g., Not At All or Very Confident). Overall, the results revealed that the coaches lacked knowledge. The average score was 70.6%, which was below the criterion for adequate knowledge. Furthermore, the coaches lacked adequate knowledge in three of the five knowledge domains: Treatment and Prevention of Disordered Eating (63.6% ± 22.9%), Disordered Eating Signs and Symptoms (60.0% ± 21.7%), and Macronutrients (57.0% ± 22.4%). There were no significant differences between coaches’ education level, gender, or type and knowledge. However, there was in experience; the more years coached, the lower the scores. Finally, there was a trend of overconfidence in answers

    Structural Characterization and Enzymatic Modification of Soybean Polysaccharides

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    Carmel River Lagoon Enhancement Project: Water Quality and Aquatic Wildlife Monitoring, 2005-6

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    In summer and fall 2004, the California Department of Parks and Recreation (DPR) initiated the Carmel River Lagoon Enhancement Project. The project involved excavation of a dry remnant Arm of the lagoon and adjacent disused farmland to form a significant new lagoon volume. The intention was to provide habitat, in particular, for two Federally threatened species: the California Red-Legged Frog, and the Steelhead Trout (South Central-Coastal California Evolutionary Significant Unit). DPR contracted with the Foundation of California State University Monterey Bay (Central Coast Watershed Studies Team, Watershed Institute) to monitor water quality and aquatic invertebrates in association with the enhancement, and to attempt to monitor steelhead using novel video techniques. The monitoring objective was to assess whether the enhancement was successful in providing habitat with good water quality, adequate invertebrate food for steelhead, and ultimately the presence of steelhead. (Document contains 102 pages

    Clinical outcomes of remote ischemic preconditioning prior to cardiac surgery: A meta‐analysis of randomized controlled trials

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    Background Multiple randomized controlled trials of remote ischemic preconditioning ( RIPC ) prior to cardiac surgery have failed to demonstrate clinical benefit. The aim of this updated meta‐analysis was to evaluate the effect of RIPC on outcomes following cardiac surgery. Methods and Results Searches of PubMed, Cochrane, EMBASE , and Web of Science databases were performed for 1970 to December 13, 2015. Randomized controlled trials comparing RIPC with a sham procedure prior to cardiac surgery performed with cardiopulmonary bypass were assessed. All‐cause mortality, acute kidney injury ( AKI ), and myocardial infarction were the primary outcomes of interest. We identified 21 trials that randomized 5262 patients to RIPC or a sham procedure prior to undergoing cardiac surgery. The majority of patients were men (72.6%) and the mean or median age ranged from 42.3 to 76.3 years. Of the 9 trials that evaluated mortality, 188 deaths occurred out of a total of 4210 randomized patients, with 96 deaths occurring in 2098 patients (4.6%) randomized to RIPC and 92 deaths occurring in 2112 patients (4.4%) randomized to a sham control procedure, demonstrating no significant reduction in all‐cause mortality (risk ratio [RR], 0.987; 95% CI , 0.653–1.492, P =0.95). Twelve studies evaluated AKI in 4209 randomized patients. In these studies, AKI was observed in 516 of 2091 patients (24.7%) undergoing RIPC and in 577 of 2118 patients (27.2%) randomized to a sham procedure. RIPC did not result in a significant reduction in AKI ( RR , 0.839; 95% CI , 0.703–1.001 [ P =0.052]). In 6 studies consisting of 3799 randomized participants, myocardial infarction occurred in 237 of 1891 patients (12.5%) randomized to RIPC and in 282 of 1908 patients (14.8%) randomized to a sham procedure, resulting in no significant reduction in postoperative myocardial infarction ( RR , 0.809; 95% CI , 0.615–1.064 [ P =0.13]). A subgroup analysis was performed a priori based on previous studies suggesting that propofol may mitigate the protective benefits of RIPC . Three studies randomized patients undergoing cardiac surgery to RIPC or sham procedure in the absence of propofol anesthesia. Most of these patients were men (60.3%) and the mean or median age ranged from 57.0 to 70.6 years. In this propofol‐free subgroup of 434 randomized patients, 71 of 217 patients (32.7%) who underwent RIPC developed AKI compared with 103 of 217 patients (47.5%) treated with a sham procedure. In this cohort, RIPC resulted in a significant reduction in AKI ( RR , 0.700; 95% CI , 0.527–0.930 [ P =0.014]). In studies of patients who received propofol anesthesia, 445 of 1874 (23.7%) patients randomized to RIPC developed AKI compared with 474 of 1901 (24.9%) who underwent a sham procedure. The RR for AKI was 0.928 (95% CI , 0.781–1.102; P =0.39) for RIPC versus sham. There was no significant interaction between the two subgroups ( P =0.098). Conclusions RIPC does not reduce morbidity or mortality in patients undergoing cardiac surgery with cardiopulmonary bypass. In the subgroup of studies in which propofol was not used, a reduction in AKI was seen, suggesting that propofol may interact with the protective effects of RIPC . Future studies should evaluate RIPC in the absence of propofol anesthesia. </jats:sec

    Assessing Environmental Issues in Upland Game Birds

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    Wildlife management is essentially the balance between maintenance of habitat and control of population density. To demonstrate the application of multivariate techniques for habitat assessment, I evaluated 4 contemporary classification schemes for use as experimental units for mourning dove (Zenaida macroura) research in Texas. I conducted a generalized canonical discriminant analysis (CDA) for each classification scheme using 25 habitat variables obtained adjacent to each of the 133 U.S. Fish and Wildlife Services call-count survey routes within Texas. Classification results from each CDA were used to generate a confusion matrix for each classification scheme (i.e., overall accuracy, average accuracy, and expected agreement). Because classification schemes differed in the number of categories, the Kappa Coefficient of Agreement was used to account for the proportion of agreement due to chance. The Kappa estimates were higher for the Gould (0.760) and Omernik (0.700) classification schemes, than for the Fenneman (0.618) or George (0.673) classification schemes, indicating the newer classification schemes provide a more accurate partitioning of multidimensional habitat space, and are therefore better suited for use as experimental units for mourning dove research in Texas. To demonstrate the impact of human land use on wildlife habitat, I evaluated the spatial-temporal effects of habitat loss and anthropogenic land use on grassland birds from 1993–2012. I used 8 habitat metrics corresponding to the U.S. Census of Agriculture data for Texas during this period, and northern bobwhite (Colinus virginianus) abundance estimates from the Breeding Bird Survey and Texas Parks and Wildlife Department as the proxy grassland bird species. The redundancy analysis indicated that economic, agricultural, and land use metrics accounted for 74.5% of the total variance in bobwhite relative abundance during the period (Radj ÂČ = 60.8%, P < 0.0016), and most anthropogenic land trend variables (e.g., Population Density, Market Value, Production Value) were inversely proportional to quail relative abundance. The canonical discriminant analysis indicated that economic, agricultural, and land use metrics explained 88.6% of the variability among ecoregions (P < 0.0002) and 99.5% of the variability among years (P < 0.0167). These results indicate that land values (market value and production value per hectare) and human population density may signal the onset of anthropogenic land conversion, and might be used to predict future changes that will impact grassland bird species and other natural resources. Finally, to demonstrate the feasibility of combining scientific and citizen-science data to obtain a regional estimate of grassland bird abundance, I obtained congruent estimates of northern bobwhite (Colinus virginianus) abundance using a double-sampling paradigm. Spring cock call-counts were conducted on 12 ranches within the Rolling Plains of Texas during 2012–2014. This sampling effort collected calls and distances at each point, yielding 1,022 total counts, detected 36,415 calls, 4,647 birds, and obtained 4,627 distances. Data were analyzed using program DISTANCE to generate local and regional estimates of quail density for each year, and to calibrate density estimates with birds heard using a double-sampling paradigm. My results demonstrated that it is economically feasible and logistically pragmatic to calibrate metrics obtained through citizen-science efforts (call-counts; relative abundance) with results obtained by more intensive scientific methods (distance sampling; density estimates). Collectively, these results illustrate that it is within the microcosm of single-species management that we test the limits of our ecological knowledge and understanding

    Frequency response of underwater ultrasonic transducers in the near field using polarimetric polarization maintaining fiber sensors

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    Near-field ultrasonic response (50-2000 kHz) of an underwater 1-3 piezocomposite transducer is experimentally investigated using a polarimetric polarization maintaining fiber sensor. Measured outputs from our sensor and a reference hydrophone are observed to be comparable

    Accelerating protein docking in ZDOCK using an advanced 3D convolution library

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    Computational prediction of the 3D structures of molecular interactions is a challenging area, often requiring significant computational resources to produce structural predictions with atomic-level accuracy. This can be particularly burdensome when modeling large sets of interactions, macromolecular assemblies, or interactions between flexible proteins. We previously developed a protein docking program, ZDOCK, which uses a fast Fourier transform to perform a 3D search of the spatial degrees of freedom between two molecules. By utilizing a pairwise statistical potential in the ZDOCK scoring function, there were notable gains in docking accuracy over previous versions, but this improvement in accuracy came at a substantial computational cost. In this study, we incorporated a recently developed 3D convolution library into ZDOCK, and additionally modified ZDOCK to dynamically orient the input proteins for more efficient convolution. These modifications resulted in an average of over 8.5-fold improvement in running time when tested on 176 cases in a newly released protein docking benchmark, as well as substantially less memory usage, with no loss in docking accuracy. We also applied these improvements to a previous version of ZDOCK that uses a simpler non-pairwise atomic potential, yielding an average speed improvement of over 5-fold on the docking benchmark, while maintaining predictive success. This permits the utilization of ZDOCK for more intensive tasks such as docking flexible molecules and modeling of interactomes, and can be run more readily by those with limited computational resources

    Tennessee’s Unique Religious Protections in Employment: Do They Mean What They Say?

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    Tennessee has a long history of strongly held and diverse religious beliefs and practices. Equally firmly established is its “at-will” employment rule that allows businesses to create and control their workforces to maximize operations and profits to the benefit of employers and employees. When an employee’s religious beliefs conflict with his obligations to his employer, state and federal laws resolve the tension. Employees who experience this tension and feel they have been discriminated against based on their religion generally have the choice to bring their claims of discrimination under federal law, state law, or both. Because claims under federal law may be removed to federal court, and because state courts are generally perceived to be more favorable to employees, some employees strategically elect to pursue only selected state law claims. An employee might also be forced to bring a claim only under state law if she works for a small employer, since the federal law’s reach is limited to employers with at least fifteen employees. This Article examines whether a Tennessee employee who brings claims only under Tennessee’s statutory protection against religious discrimination in employment has the same protections as he would if he proceeded under federal law. Part I discusses employers’ obligations under the Tennessee Human Rights Act (“THRA”), the primary Tennessee religious anti-discrimination statute, and Title VII of the Civil Rights Act of 1964 (“Title VII”), the primary federal religious anti-discrimination law. Part II discusses the background of both the THRA and Title VII and how it informs the analysis. Part III proposes that the THRA not be interpreted to import the reasonable accommodation requirement from Title VII. This interpretation is consistent with the textual language of the statute, courts’ interpretation of the Tennessee Disability Act, existing case law, and Tennessee’s history of limiting exceptions to the at-will employment doctrine. The Article proposes that this different interpretation is more consistent with the THRA as it is currently written and invites discussion of whether this interpretation is ultimately better for employees and employers

    Vascular regeneration in a basal chordate is due to the presence of immobile, bi-functional cells.

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    The source of tissue turnover during homeostasis or following injury is usually due to proliferation of a small number of resident, lineage-restricted stem cells that have the ability to amplify and differentiate into mature cell types. We are studying vascular regeneration in a chordate model organism, Botryllus schlosseri, and have previously found that following surgical ablation of the extracorporeal vasculature, new tissue will regenerate in a VEGF-dependent process within 48 hrs. Here we use a novel vascular cell lineage tracing methodology to assess regeneration in parabiosed individuals and demonstrate that the source of regenerated vasculature is due to the proliferation of pre-existing vascular resident cells and not a mobile progenitor. We also show that these cells are bi-potential, and can reversibly adopt two fates, that of the newly forming vessels or the differentiated vascular tissue at the terminus of the vasculature, known as ampullae. In addition, we show that pre-existing vascular resident cells differentially express progenitor and differentiated cell markers including the Botryllus homologs of CD133, VEGFR-2, and Cadherin during the regenerative process

    Nucleic Acid Sequence Design via Efficient Ensemble Defect Optimization

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    We describe an algorithm for designing the sequence of one or more interacting nucleic acid strands intended to adopt a target secondary structure at equilibrium. Sequence design is formulated as an optimization problem with the goal of reducing the ensemble defect below a user-specified stop condition. For a candidate sequence and a given target secondary structure, the ensemble defect is the average number of incorrectly paired nucleotides at equilibrium evaluated over the ensemble of unpseudoknotted secondary structures. To reduce the computational cost of accepting or rejecting mutations to a random initial sequence, candidate mutations are evaluated on the leaf nodes of a tree-decomposition of the target structure. During leaf optimization, defect-weighted mutation sampling is used to select each candidate mutation position with probability proportional to its contribution to the ensemble defect of the leaf. As subsequences are merged moving up the tree, emergent structural defects resulting from crosstalk between sibling sequences are eliminated via reoptimization within the defective subtree starting from new random subsequences. Using a Θ(N^3) dynamic program to evaluate the ensemble defect of a target structure with N nucleotides, this hierarchical approach implies an asymptotic optimality bound on design time: for sufficiently large N, the cost of sequence design is bounded below by 4/3 the cost of a single evaluation of the ensemble defect for the full sequence. Hence, the design algorithm has time complexity Ω(N^3). For target structures containing N ∈{100,200,400,800,1600,3200} nucleotides and duplex stems ranging from 1 to 30 base pairs, RNA sequence designs at 37°C typically succeed in satisfying a stop condition with ensemble defect less than N/100. Empirically, the sequence design algorithm exhibits asymptotic optimality and the exponent in the time complexity bound is shar
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