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Safest Route Detection via Danger Index Calculation and K-Means Clustering
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作者 Isha Puthige Kartikay Bansal +8 位作者 Chahat Bindra Mahekk Kapur Dilbag Singh Vipul Kumar Mishra Apeksha Aggarwal jinhee lee Byeong-Gwon Kang Yunyoung Nam Reham R.Mostafa 《Computers, Materials & Continua》 SCIE EI 2021年第11期2761-2777,共17页
The study aims to formulate a solution for identifying the safest route between any two inputted Geographical locations.Using the New York City dataset,which provides us with location tagged crime statistics;we are im... The study aims to formulate a solution for identifying the safest route between any two inputted Geographical locations.Using the New York City dataset,which provides us with location tagged crime statistics;we are implementing different clustering algorithms and analysed the results comparatively to discover the best-suited one.The results unveil the fact that the K-Means algorithm best suits for our needs and delivered the best results.Moreover,a comparative analysis has been performed among various clustering techniques to obtain best results.we compared all the achieved results and using the conclusions we have developed a user-friendly application to provide safe route to users.The successful implementation would hopefully aid us to curb the ever-increasing crime rates;as it aims to provide the user with a beforehand knowledge of the route they are about to take.A warning that the path is marked high on danger index would convey the basic hint for the user to decide which path to prefer.Thus,addressing a social problem which needs to be eradicated from our modern era. 展开更多
关键词 Agglomerative CLUSTERING crime rate danger index DBSCAN
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Predictors of Co-Occurring Substance Use among Asian Americans in Residential Treatment Programs
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作者 Minjeong Kim jinhee lee +1 位作者 Midori Nakajima Linda Chafetz 《Open Journal of Psychiatry》 2019年第2期153-164,共12页
Although severe and chronic mental disorders are common among Asian Americans in residential treatment programs, little has been known about the prevalence and predictors of co-occurring substance use in this populati... Although severe and chronic mental disorders are common among Asian Americans in residential treatment programs, little has been known about the prevalence and predictors of co-occurring substance use in this population. The purpose of this study was to examine predictors of co-occurring substance use among Asian Americans with mental disorders in residential treatment programs. This cross-sectional study included 375 clinical records of Asian Americans from residential treatment programs between 2007 and 2011. Demographic variables, principal psychiatric diagnoses, and data on alcohol, stimulant, and marijuana use were obtained from the clinical records. Separate binary logistic regression analyses were used to examine the demographic and diagnostic contributions to the risk of each type of substance use. Findings of this study indicated that the prevalence of co-occurring substance use was about 53% in Asian Americans with mental disorders. Binary logistic regression analyses revealed that male gender, older age, and depressive disorder predicted more alcohol use, but homelessness and schizophrenia predicted less alcohol use. Male gender, homelessness, and smoking predicted more stimulant use. Male gender and younger age predicted more marijuana use. Based on the findings of this study, awareness about co-occurring substance use problems of ethnic minority psychiatric clients should be increased and appropriate substance use prevention and treatment programs should be developed and provided for high-risk groups. 展开更多
关键词 Asian AMERICANS MENTAL DISORDERS Substance USE
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Green tea extract and Piper retrofractum attenuate deoxycholic acid-induced damage and enhance the tight junction barrier: An analysis in a Caco-2 cell culture model and a DSS coinduced mouse model
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作者 Kwanyong Choi Soo-yeon Park +3 位作者 Yuri Kwon jinhee lee Oran Kwon Ji Yeon Kim 《Food Bioscience》 SCIE 2023年第2期541-548,共8页
This study investigated the effect of green tea extract(GTE)and green tea-Piper retrofractum complex(GPX),on tight junctions(TJs)in a cellular model of deoxycholic acid(DCA)-induced intestinal barrier disruption and a... This study investigated the effect of green tea extract(GTE)and green tea-Piper retrofractum complex(GPX),on tight junctions(TJs)in a cellular model of deoxycholic acid(DCA)-induced intestinal barrier disruption and a mouse DSS+DCA-induced colitis model.Green tea and P.retrofractum were extracted and coadministered to examine the bioavailability and effects of combined catechins and piperine on colonic TJ damage.The ability of GPX to alleviate TJ damage was determined by comparing the transepithelial electrical resistance(TEER),FITC-dextran flux,and mRNA expression of TJ-related components and target expression pathway in the GTE and GPX groups.Compared with the DCA-treated group,the GTE-and GPX-treated groups showed significantly enhanced TEER,FITC-dextran flux,and TJ-related mRNA expression(p<0.05).Cell treatment also downregulated the mRNA encoding bile acid receptor and decreased ERK1/2 phosphorylation.Compared with the GTE-treated group,the GPX-treated group showed higher mRNA expression of zonula occludens-1,occludin,claudin-3,and claudin-4;greater restoration of TJs,as determined by immunofluorescence;and better modulation of ERK1/2 activation.In the in vivo model,GPX-pretreated mice showed an improved intestinal damage index and colon length compared with mice in the other colitis-induced groups.Both extracts recovered the distal colon mRNA expression of zonula occludens-1 and claudin-1.These results suggest that GTE improves intestinal health by protecting TJs from secondary bile acid damage and that P.retrofractum may potentiate the bioactivity of green tea catechins. 展开更多
关键词 Green tea and Piper retrofractum CATECHIN PIPERINE Deoxycholic acid Tight junction barrier
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