Source and Ecological Risk Assessment of Potentially Toxic Metals in Urban Riverine Sediments Using Multivariate Analytical and Statistical Tools by Xiaojun Zheng, Abdul Rehman, Shan Zhong, Shah Faisal, Muhammad Mahroz Hussain, Syeda Urooj Fatima, Daolin Du

“…SEM-EDS illustrated the small extent of anthropogenic particles having predominant concentrations of Zn, Fe, Pb, and Sr. Multivariate statistical analyses revealed significant associations between the concentrations of PTMs and the sampling locations, highlighting the anthropogenic contributions linked to local land-use characteristics. …”
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Clinical characteristics, outcomes, and costs of COVID-19 patients in Thai hospitels: a comparative analysis based on chest X-ray findings by Naruemit Sayabovorn, Pochamana Phisalprapa, Weerachai Srivanichakorn, Thanet Chaisathaphol, Chaiwat Washirasaksiri, Tullaya Sitasuwan, Chonticha Auesomwang, Chayanis Kositamongkol, Pongpol Nimitpunya, Teerapat Attachitwatin, Methee Chayakulkeeree, Pakpoom Phoompoung, Cherdchai Nopmaneejumruslers, Tawatchai Taweemonkongsap, Visit Vamvanij, Rungsima Tinmanee

“…Patient demographics, clinical data, vaccination status, treatment modalities, outcomes, and total costs were collected and analyzed via univariable and multivariable statistical methods. Results Of the 1729 patients, 644 (37.2%) presented with abnormal baseline chest X-rays that could imply to moderate cases. …”
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Factors influencing evidence-based cardiovascular disease prevention programming in rural African American communities: a community-engaged concept mapping study by Amelia DeFosset, Breanna Deutsch-Williams, Mysha Wynn, Katrina Blunt, Scott Rosas, Mary Wolfe McKinley, Brian Ellerby, Shirley McFarlin, Veena Reddy, Giselle Corbie, Gaurav Dave

“…Participants (total n = 31) completed three activities: 1) brainstorming in response to an open-ended prompt (n = 31); 2) sorting brainstorm data into wider concepts and rating each in terms of relative importance and feasibility (n = 26); and 3) collaborative interpretation and refinement of the concept map (n = 19). Multivariate statistical analysis was used to generate a concept map. …”
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An optimized approach for predicting water quality features and a performance evaluation for mapping surface water potential zones based on Discriminant Analysis (DA), Geographical... by Abhijeet Das

“…To achieve this goal, this investigation relies on Drinking (Dr)-Water Quality Index (WQI) and multivariate statistical techniques including discriminant analysis (DA), to assess the variations of surface water quality in the selected region. …”
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