coinbill11
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Although the effects of balance training on unstable surfaces have been widely studied, the impact of exposure to an unstable surface in static balance throughout childhood has not been described to date. How does postural stability vary between sexes in children 6-12 years of age during single leg static support on unstable surface? What are the normative values of centre of mass acceleration in the mentioned age range during such test? Is the postural stability on an unstable surface in the postural control of children aged 6-12 years during static single-leg stance. Secondarily, the normative acceleration values of the gravity centre, recorded during such tests and throughout the mentioned age range, were also provided. Descriptive, transversal study conducted with a total of 316 school children (girls = 158). The analysed variables were the mean and maximum values obtained in each of the three body axes and their root mean square during static single-leg support test on an unstable surface (a mat).e more visual and vestibular information. In the age range of 8-11 years, the postural control system is significantly different between sexes regarding the hierarchy of the efferent information of the available postural control subsystems. learn more Moreover, the reactions of straightening and postural control on single-leg stance are, fundamentally, flexion-extension movements. Orthopedic insoles (OIs) with medial arch support and heel cushion are widely used to manage lower extremity injuries, but their effects on postural balance in patients with chronic stroke have not been adequately explored. Design Double-blinded, sham-controlled, randomized crossover trial. A total of 32 ambulatory patients (20 men and 12 women, aged between 30 and 76 years) with more than 6 months since stroke onset. All participants received one assessment session wearing OIs and one session wearing sham insole (SI) in a random order with a 1-day interval. Our primary outcome was the Berg Balance Scale score. Secondary outcomes included the Functional Reach Test, Timed Up and Go test, and computerized posturography. All were performed in both sessions. Subgroup analyses regarding demographic and functional variables were conducted to identify potential responders. Significant between-insole differences favoring OIs were seen in all clinical tests (P < 0.05), but were seen only in the static medial-lateral sway in computerized posturography assessment (P = 0.04). An approximate 2-point difference in the BBS score favoring OIs was observed in all subgroups, not reaching the minimal clinically important difference. The use of OIs generated small but significant positive effects on improving postural balance among patients with chronic stroke. Additional biomechanical and clinical studies are required to evaluate their potential for routine clinical use. NCT03194282.NCT03194282. Musculoskeletal simulations are widely used in the research community. The locations of surface markers are mostly used to scale a generic model to the participant's anthropometry. Marker-based scaling approaches include errors due to inaccuracies in marker placements. How do scaling errors of the thigh and shank segments influence simulation results? Motion capture data and magnetic resonance images from a child with cerebral palsy and a typically developing child were used to create a subject-specific reference model for each child. These reference models were modified to mimic scaling errors due to inaccurately placed lateral epicondyle markers, which are frequently used to scale the thigh and shank segments. The thigh length was altered in 1 % steps from the original length and the shank length was accordingly adjusted to keep the total leg length constant. Thirty additional models were created, which included models with an altered thigh length of ±15 %. Subsequently, musculoskeletal simulations wilation results at all joints due to the global optimization approach used in musculoskeletal simulations. Our findings can be used to estimate potential errors due to marker-based scaling approaches in previous and future studies.How do V1 cells respond to, adapt to, and combine signals from the two eyes? We tested a simple functional model that has monocular and binocular stages of divisive contrast gain control (CGC) that sit before, and after, binocular summation respectively. Interocular suppression (IOS) was another potential influence on contrast gain. Howarth, Vorobyov & Sengpiel (2009, Cerebral Cortex, 19, 1835-1843) studied contrast adaptation and interocular transfer in cat V1 cells. In our re-analysis we found that ocular dominance (OD) and contrast adaptation at a fixed test contrast were well described by a re-scaling of the unadapted orientation tuning curve - a simple change in response gain. We compared six variants of the basic model, and one model fitted the gain data notably better than the others did. When the dominant eye was tested, adaptation reduced cell response gain more when that eye was adapted than when the other eye was adapted. But when the non-dominant eye was tested, adapting either eye gave about the same reduction in overall gain, and there was an interaction between OD and adapting eye that was well described by the best-fitting model. Two key features of this model are that signals driving IOS arise 'early', before attenuation due to OD, while suppressive CGC signals are 'late' and so affected by OD. We show that late CGC confers a functional advantage it yields partial compensation for OD, which should reduce ocular imbalance at the input to binocular summation, and improve the cell's sensitivity to variation in stereo disparity.The U.S. FDA Food Safety Modernization Act Preventive Controls for Human Food Rule underlines the importance of an effective environmental monitoring (EM) program. EM is used to determine harborage sites of microorganisms on processing equipment, assess effectiveness of sanitation programs, and prevent transmission of foodborne pathogens. This study characterizes commercially-available polyurethane foam (PUF) and cellulose (CELL) EM tools for their efficacy in the release of foodborne pathogens from their sponge matrices. Specifically, the objectives of this study were to 1) compare the ability of EM tools to release microorganisms into a recovery eluent, 2) characterize EM tool performance at decreasing inoculum concentrations, and 3) assess the impact of various operators during the processing of EM samples. Two bacteria (Listeria monocytogenes, Salmonella Typhimurium) and one human norovirus surrogate (Tulane virus [TV]) were compared at decreasing inoculum levels utilizing two elution techniques (mechanical stomacher, manually by operator), and across six operators.

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