Effects of Golf Drive Swing on Multiple Functional Wear Wearing

The purpose of this study was to verify the effect of drive swing on multiple functional wear wearing in golf The subjects were 6 men 22 67 0 82yrs 175 42 3 42cm 78 75 4 78kg who had career each with at least 8 years golf experience with right-hander For kinematical analysis this study used equipments with 7 motion capture cameras 300Hz and analysis program Nexus 1 5 The total time of the club head displacement magnitude of the COM and swing plane were compared of according to functional wear wearing and non-wearing during golf drive swing The results of the study are as follows The total time of the club on wearing 2 18 0 06sec was faster than non-wearing 2 52 0 15sec Displacement magnitude of the COM on wearing 4 06 0 67cm was shorter than non-wearing 5 79 0 72cm Also swing plane was found to be significantly different of 3 phase excepted BST-DS back swing top - down swing phase AD-BST address - back swing top phase on wearing 13 86 3 08cm decrease more than nonwearing 20 82 3 99cm DS-IP down swing impact phase on wearing 6 25 1 35cm decrease more than non-wearing 7 18 1 52cm and IP FT impact follow though phase on wearing 7 93 2 09cm decrease more than non-wearing 9 68 2 02cm The multiple functional wear wearing was contribution to come close for one-plane a long with consistency and accuracy on golf drive swin

Effects of Golf Drive Swing on Multiple Functional Wear Wearing

The purpose of this study was to verify the effect of drive swing on multiple functional wear wearing in golf The subjects were 6 men 22 67 0 82yrs 175 42 3 42cm 78 75 4 78kg who had career each with at least 8 years golf experience with right-hander For kinematical analysis this study used equipments with 7 motion capture cameras 300Hz and analysis program Nexus 1 5 The total time of the club head displacement magnitude of the COM and swing plane were compared of according to functional wear wearing and non-wearing during golf drive swing The results of the study are as follows The total time of the club on wearing 2 18 0 06sec was faster than non-wearing 2 52 0 15sec Displacement magnitude of the COM on wearing 4 06 0 67cm was shorter than non-wearing 5 79 0 72cm Also swing plane was found to be significantly different of 3 phase excepted BST-DS back swing top - down swing phase AD-BST address - back swing top phase on wearing 13 86 3 08cm decrease more than nonwearing 20 82 3 99cm DS-IP down swing impact phase on wearing 6 25 1 35cm decrease more than non-wearing 7 18 1 52cm and IP FT impact follow though phase on wearing 7 93 2 09cm decrease more than non-wearing 9 68 2 02cm The multiple functional wear wearing was contribution to come close for one-plane a long with consistency and accuracy on golf drive swin

A Deep Learning Approach for Automotive Radar Interference Mitigation

In automotive systems, a radar is a key component of autonomous driving. Using transmit and reflected radar signal by a target, we can capture the target range and velocity. However, when interference signals exist, noise floor increases and it severely affects the detectability of target objects. For these reasons, previous studies have been proposed to cancel interference or reconstruct original signals. However, the conventional signal processing methods for canceling the interference or reconstructing the transmit signals are difficult tasks, and also have many restrictions. In this work, we propose a novel approach to mitigate interference using deep learning. The proposed method provides high performance in various interference conditions and has low processing time. Moreover, we show that our proposed method achieves better performance compared to existing signal processing methods.Comment: Accepted in 2018 VTC worksho

Microfluidic Analysis in Patient Biopsies: toward Precision Medicine for Glioblastoma Multiforme

Although every individual has a unique biology, most medicine still relies on the one-size-fits-all approach, which often fails in the treatment of heterogeneous diseases like cancer. An emerging approach to disease treatment is precision medicine, in which a specific treatment is tailored for individual patients using their biological information, including their genome, phenome, and proteome. Two clinical actions are important for implementing precision medicine in cancer therapies: choosing the correct drugs via patient stratification and choosing a suitable drug dosage and duration via drug response monitoring. After selecting the potential drug candidate, it is crucial to monitor tumor response to drug therapy because cancer is a dynamic disease that can develop drug resistance. Although non-invasive tumor imaging techniques such as magnetic resonance imaging, computed tomography, and positron emission tomography can assess physical size and metabolic activity of tumors, these techniques have poor time resolution and cannot capture the dynamic changes of bio-molecules implicated with drug resistance. Thus, to effectively monitor drug response, supplemental diagnostic or prognostic markers must be routinely measured from patient biopsies. Unfortunately, routine monitoring of multiple biomarkers from patient biopsies is impractical, as conventional analytical assays require large sample amounts (up to 100-1,000 mg of tissue or 10 mL of blood). In response to this challenge, this thesis describes the development of various microfluidic technologies that can perform multiplexed measurements (up to 20-plex) using minute amounts of sample (10,000-100,000 cells or 30µL of blood) in a miniaturized analytical platform (maximum 75 × 26 × 1 mm footprint). We applied these technologies for drug screening and drug response monitoring in glioblastoma multiforme, a highly lethal brain tumor, assaying two different types of patient biopsies: cancer cells and blood. First, we developed an integrated microfluidics-chip/beta particle imaging system that can screen for effective therapies using small amounts of patient-derived cell lines. Since glioblastoma cells have abnormally high glycolytic activity, this was used as a read-out for drug response. Single cells were isolated in micro-traps, and their glycolytic activity was quantitated using a radioactive probe. This platform can assess potential drug targets directly from patient biopsies without administering drugs to the patient. Second, we developed an in vitro diagnostic test that can monitor tumor drug resistance by measuring up to 14 proteins in finger-prick volumes of blood. This test relies on microfluidics and microarray patterning of antibodies to carry out multiplexed sandwich-type immunofluorescence assays. Using this technology and conventional tumor imaging techniques, we linked proteomic signatures to tumor growth, establishing diagnostic and prognostic models in two clinical treatment cases of bevacizumab and buparlisib. Moreover, we adopted the multiplexed proteomic measurement platform to rapidly screen out small peptide binding agents that target an oncogenic protein in glioblastoma. The microfluidic tools developed here are sample-efficient and highly informative, and we propose that these techniques could enable routine evaluation of drug response in a precision medicine workflow.</p