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Making love as well as Employment-Setting Differences in Work-Family Turmoil within Athletic Coaching.
We study the vibration modes of a short section in the middle turn of the gerbil cochlea including both longitudinal and radial interstitial fluid spaces between the pillar cells and hair cells to determine the role of the interstitial fluid flow within the organ of Corti (OoC). Three detailed finite element models of the cochlear short section (CSS) are studied. In Model 1, the CSS is without fluids; Model 2 includes the OoC fluid, but not the exterior scalae fluids; and Model 3 is the CSS with both scalae and OoC fluids. We find that The fundamental mode shape (Mode 1) of Model 1 or Model 3 is similar to the classical basilar membrane (BM) bending mode that includes pivoting of the arch of Corti, and hence determines the low frequency vibrational mode shape of the cochlea in the presence of the cochlear wave; Mode 1 of Model 2 is characterized by a cross sectional shape change similar to the passive response of the cochlea and provides plausible modes of excitation of the hair cells; and the higher modes of Model 1 are similar to the electrically evoked response within the OoC and suggests that they are responsible for the active response of the cochlea. We observed that the fluid flow through the OoC interstitial space is significant, and the model comparison suggests that the OoC fluid contributes to the biphasic BM motion. The effect of fluid viscosity on cilium deflection was assessed by performing a transient analysis. Copyright (c) 2020 by ASME.MOTIVATION In proteins, solvent accessibility of individual residues is a factor contributing to their importance for protein function and stability. Hence one might wish to calculate solvent accessibility in order to predict the impact of mutations, their pathogenicity, and for other biomedical applications. A direct computation of solvent accessibility is only possible if all atoms of a protein three-dimensional structure are reliably resolved. RESULTS We present SphereCon, a new precise measure that can estimate residue relative solvent accessibility (RSA) from limited data. The measure is based on calculating the volume of intersection of a sphere with a cone cut out in the direction opposite of the residue with surrounding atoms. We propose a method for estimating the position and volume of residue atoms in cases when they are not known from the structure, or when the structural data are unreliable or missing. We show that in cases of reliable input structures, SphereCon correlates almost perfectly with the directly computed RSA, and outperforms other previously suggested indirect methods. Moreover, SphereCon is the only measure that yield accurate results when the identities of amino acids are unknown. A significant novel feature of SphereCon is that it can estimate RSA from inter-residue distance and contact matrices, without any information about the actual atom coordinates. AVAILABILITY https//github.com/kalininalab/spherecon. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online. © The Author(s) (2020). Published by Oxford University Press. All rights reserved. selleckchem For Permissions, please email [email protected] Anatomical therapeutic chemical (ATC) classification system is very important for drug utilization and studies. Correct prediction of the 14 classes in the first level for given drugs is an essential problem for the study on such system. Several multi-label classifiers have been proposed in this regard. However, only two of them provided the web-servers and their performance was not very high. On the other hand, although some rest classifiers can provide better performance, they were built based on some prior knowledge on drugs, such as information of chemical-chemical interaction and chemical ontology, leading to limited applications. Furthermore, provided codes of these classifiers are almost inaccessible for pharmacologists. RESULTS In this study, we built a simple web-server, namely iATC-FRAKEL. This web-server only required the SMILES format of drugs as input and extracted their fingerprints for making prediction. The performance of the iATC-FRAKEL was much higher than all existing web-servers and was comparable to the best multi-label classifier but had much wider applications. Such web server can be visited at http//cie.shmtu.edu.cn/iatc/index. AVAILABILITY The web-server is available at http//cie.shmtu.edu.cn/iatc/index. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online. © The Author(s) (2020). Published by Oxford University Press. All rights reserved. For Permissions, please email [email protected] aim of this study was to investigate whether parameters from an instrumented one-leg stance on a force plate test could provide relevant information related to fall risk in older people. Twenty-five community dwelling older people and 25 young subjects performed a one-leg stance while standing on a force plate, with parameters related to transferring weight onto one leg and postural sway in singe-leg stance evaluated. Older participants were classified as being at risk of falling if their performance did not meet one of the previously-established cut-offs for the Five Times Sit-To-Stand and Timed-Up-and-Go tests. Eleven older participants were classified as having a risk of falls. The only significant difference between groups during the weight transfer phase was in the mediolateral displacement, with the fall risk group having less sway than the other groups, signifying a more precautionary approach. With respect to postural sway, both the younger subjects and the no fall risk group stabilised sufficiently to decrease their sway compared to initial values after four and six seconds, respectively. In contrast, the fall risk group was unable to stabilise during the one-leg stance, and continued to sway throughout the 10-sec recording period. These findings suggest that the normal one-leg stance test might not be suitable to detect fall risk. In contrast, an instrumented version of the test could provide valuable additional information that could identify risk of falling in older people. Copyright (c) 2020 by ASME.
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