200 research outputs found

    A STUDY ON CORRELATION BETWEEN PELVIC ROTATION AND RUNNING PERFORMANCE FOR DESIGNING A RUNNING QUALITY INDEX

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    Today, there are many people who enjoy jogging in a regular basis. Many of them uses wearable devices to log their running time, route, etc. To improve running performance, it is important to assess running qualitatively as well. However, these devices do not assess quality of running, and do not teach users what to change and how to change in order to improve quality of running. The purpose of this study is to present correlation between pelvic rotation and running performance, experimentally, and discuss how indices can be designed to assess quality of running. For the experiment, 60 student athletes participated and run 1500 meter for two times with an accelerometer and gyro meter sensor attached to their lower back. The result shows that there is a correlation between pelvic rotation and running performance. Followed by discussion for designing the indices of running quality

    Hip Fractures after Intramedullary Nailing Fixation for Atypical Femoral Fractures: Three Cases

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    Secondary hip fractures (SHFs) rarely occur after intramedullary nailing (IMN) fixation without femoral neck fixation for atypical femoral fractures (AFFs). We report three cases of older Japanese women who sustained SHFs presumably caused by osteoporosis and peri-implant stress concentration around the femoral neck after undergoing IMN without femoral neck fixation for AFF. All cases were fixed with malalignment. In AFF patients, postoperative changes due to postoperative femoral bone malalignment may affect the peri-implant mechanical environment around the femoral neck, which can result in insufficiency fractures. At the first AFF surgery, we recommend femoral neck fixation after adequate reduction is achieved

    Current Limiting and Recovery Characteristics Under Load of Transformer Type SFCL with Rewound Structure Using BSCCO Wire in Model Power System

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    AbstractWe have proposed new design of a transformer type SFCL with primary and secondary superconducting coils which has rewound structure. For not so large fault current, the proposed SFCL limits the current by the inductive component by the normal transition of the flux shielding coil (secondary), and for larger fault current, it can give the resistive component additively by the normal transition of the primary coil. The recovery characteristics under load condition and repetitive limiting operation were experimentally investigated in a laboratory scale power system. The SFCL limited twice repetitive faults current and recovered quickly under load condition

    Deep Learning for Osteoporosis Classification Using Hip Radiographs and Patient Clinical Covariates

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    This study considers the use of deep learning to diagnose osteoporosis from hip radiographs, and whether adding clinical data improves diagnostic performance over the image mode alone. For objective labeling, we collected a dataset containing 1131 images from patients who underwent both skeletal bone mineral density measurement and hip radiography at a single general hospital between 2014 and 2019. Osteoporosis was assessed from the hip radiographs using five convolutional neural network (CNN) models. We also investigated ensemble models with clinical covariates added to each CNN. The accuracy, precision, recall, specificity, negative predictive value (npv), F1 score, and area under the curve (AUC) score were calculated for each network. In the evaluation of the five CNN models using only hip radiographs, GoogleNet and EfficientNet b3 exhibited the best accuracy, precision, and specificity. Among the five ensemble models, EfficientNet b3 exhibited the best accuracy, recall, npv, F1 score, and AUC score when patient variables were included. The CNN models diagnosed osteoporosis from hip radiographs with high accuracy, and their performance improved further with the addition of clinical covariates from patient records

    Identification of Retinal Ganglion Cells and Their Projections Involved in Central Transmission of Information about Upward and Downward Image Motion

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    The direction of image motion is coded by direction-selective (DS) ganglion cells in the retina. Particularly, the ON DS ganglion cells project their axons specifically to terminal nuclei of the accessory optic system (AOS) responsible for optokinetic reflex (OKR). We recently generated a knock-in mouse in which SPIG1 (SPARC-related protein containing immunoglobulin domains 1)-expressing cells are visualized with GFP, and found that retinal ganglion cells projecting to the medial terminal nucleus (MTN), the principal nucleus of the AOS, are comprised of SPIG1+ and SPIG1− ganglion cells distributed in distinct mosaic patterns in the retina. Here we examined light responses of these two subtypes of MTN-projecting cells by targeted electrophysiological recordings. SPIG1+ and SPIG1− ganglion cells respond preferentially to upward motion and downward motion, respectively, in the visual field. The direction selectivity of SPIG1+ ganglion cells develops normally in dark-reared mice. The MTN neurons are activated by optokinetic stimuli only of the vertical motion as shown by Fos expression analysis. Combination of genetic labeling and conventional retrograde labeling revealed that axons of SPIG1+ and SPIG1− ganglion cells project to the MTN via different pathways. The axon terminals of the two subtypes are organized into discrete clusters in the MTN. These results suggest that information about upward and downward image motion transmitted by distinct ON DS cells is separately processed in the MTN, if not independently. Our findings provide insights into the neural mechanisms of OKR, how information about the direction of image motion is deciphered by the AOS

    Factors of a Company Leading to its Selection by Job-seeking Students

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    民間企業の学生を対象とした求人総数はバブル期をはるかに上回り,過去最大の93.3万人に及ぶ.その求人倍率は2007年の1.89倍から2.14倍へと16年振りに倍率2倍を超えた.企業と学生の立場は逆転し,学生が企業を選ぶ側となった昨今,企業を選ぶ際に重要視する要因とは何なのか.本研究では就職活動中の学生を対象とした意識調査データを用いて,相関分析,重回帰分析の両分析を同時に行える独自のソフト,アプリケーション・ソフト「Excel VBA」を活用・開発し,それを用いて分析結果の検証を行った.企業を選ぶ際に学生が重要視する要因を分析によって明確にした.Today, the total number of job offers made to students by private companies far exceeds that in the bubble years, reaching the largest ever number of 933,000. The ratio of job offers to seekers has increased from 1.89 (in 2007) to 2.14, surpassing 2.00 for the first time in the last 16 years. Now that the relationship between companies and students has inverted, with the latter in the position of selecting the former, what factors of a company do students most emphasize before selecting it? The present study was intended to identify such factors; more specifically, data from an attitude survey conducted among job-seeking students were analyzed using an originally developed Excel VBA application, capable of simultaneously performing correlation and multiple regression analyses, and the results of analysis were evaluated
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