FAKTOR-FAKTOR YANG MEMPENGARUHI PETANI DALAM ALIH KOMODITI KOPI (Coffee sp) KE KAKAO (Theobrroma cacao L. ) DI DESA TERTAP KECAMATAN JARAI KABUPATEN LAHAT SUMATERA SELATAN by M. Agus Maryanto, Musriyadi Nabiu, Septri Widiono

“… This study aims to understand the process, reasons for the actions of farmers and analyze the factors that influence farmers to switch commodities. …”
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Factors associated with the practice of physical activity among university students in social isolation during the covid-19 pandemic by Brenda Morgana Souza Rocha, Matheus Frota Oliveira Souto, Victor Carvalho Narciso Mendes, João Vitor Braga Ferreira, Eduardo de Oliveira Azevedo, Ana Luiza Lafetá Prates Evangelista Cunha, Josiane Santos Brant Rocha, Lucineia Pinho

“… This study sought to analyze the practice of physical activity (PA) among university students, during the COVID-19 pandemic, and associated factors. …”
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“Decision Tree” as a Tool for Analyzing the Psychodiagnostics Data Latent Connections by Elena V. Slavutskaya, Leonid A. Slavutsky

“…Machine learning methods turn to be an effective tool for data processing and provide ample opportunities for analyzing the results of psychodiagnostics. At the same time, they have a number of advantages over traditional correlation, factor, regression analysis and allow for a systemic analysis of latent relationships between psychological indicators. …”
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Prevalence and Risk Factors of Non-proliferative Diabetic Retinopathy in Individuals with Type 2 Diabetes Mellitus Taking Oral Antidiabetic Medications by Alaa Tag E. Elkhider, Musaab Ahmed, Safaa Badi, Mohamed Hyder Abu Ahmed, Hanan Tahir, Heitham Awadalla, Nuha Eljaili Abubaker, Mohammed Seed Seed Ahmed, Mohamed H Ahmed, Ahmed O. Almobarak

“…Logistic regression was performed to predict factors associated with diabetic retinopathy. …”
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Carcinogenic health risks and water quality assessment of groundwater around lead–zinc mining areas of Ebonyi state Nigeria: a data-driven machine learning approach by Obinna Chigoziem Akakuru, Moses Oghenenyoreme Eyankware, Godwin O. Aigbadon, Ayatu Ojonugwa Usman, Alexander Iheanyi Opara, Kizito Ojochenemi Musa, Micheal Akaninyene Okon, Okechukwu Pius Aghamelu, Gabriel Ehriga Odesa, Ifeyinwa Juliana Ofoh, Annabel U. Obinna-Akakuru

“…The Principal Component Analysis (PCA) results suggest that groundwater quality in the mining area is influenced by multiple factors, including pH levels and the presence of various heavy metals. …”
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Factors predicting delirium among hospitalized older adults in an urban area, Thailand: A prospective cohort study by Duangrat Kaveenuntachai, Naphatthorn Prueksaanantakal, Pirunnapa Benyapad, Pratin Chinpinkleaw, Sirichai Jiojinda

“…Descriptive statistics and multivariate logistic regression were used to analyze predictors of delirium. …”
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Factors influencing the overall satisfaction of teachers participating in a nationwide school-based smoking prevention program in Korea by Geon Heo, Seulgi Kim, Sung-il Cho, Seunghyun Yoo, Jieun Hwang

“…Multiple linear regression analysis was performed for each factor to test the independent association. …”
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Risk Factors and a Predictive Model for the Co-Occurrence of Endometrial Polyps in Patients with Endometriosis: A Retrospective Study by Zhi-Min Song, Xiao-Jie Wan, Jian-Peng Chen, Tao Zhang, Jie Luo, Jian-Hong Zhou, Jing-Yi Li

“…Method: This retrospective study included 1250 EM patients. Logistic regression analysis was employed to develop a combined diagnostic model. …”
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Drug resistance pattern, prevalence and risk factors for resistance to second line anti-tuberculosis drugs in Balochistan, Pakistan by Naila Samad, Ghulam Mustafa Wardak, Fakhra Batool, Hadeel Ahmed Kenoosh, Nnamdi C. Opara, Najma Balquees Anwar, Kosar Doraghi, Musa Bin Bashir

“…Upon multivariate binary logistic regression analysis previous treatment of cat-II regimen had statistical significant association with resistance to any SLD (OR=5.273, 95%CI=1.098-25.316). …”
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Air pollution, including PM10, as a potential risk factor for the development of appendicitis in Korea: a case-crossover study by Yongho Jee, Jin Hoon Nam, Jongmin Oh, Gyoung Tae Noh, Eunhee Ha, Ryung Ah Lee

“…Methods: We employed a time-stratified case-crossover design using data from 6,526 appendicitis patients taken from the hospital’s electronic medical records system. We analyzed the data using a conditional logistic regression model adjusted for daily mean temperature and relative humidity. …”
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Influencing factors of IgA nephropathy combined with hyperuricemia and a nomogram to predict the risk of hyperuricemia in IgA nephropathy patients by Zhou Jie, Xian Wei-ying, Li Ji-tian, Zeng Jin-cheng

“…Multivariate logistic regression was applied to analyze the risk factors for HUA in IgAN patients. …”
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Comparison of the outcomes of patients with non-male factor infertility and poor ovarian response undergoing in vitro fertilization and intracytoplasmic sperm injection by Haiwei Quan, Qi Yan, Jingyi Han, Rulin Dai

“…In addition, multivariate logistic regression analysis, adjusted for potential confounding factors, showed no significant differences in the clinical pregnancy and live birth rates between the two groups. …”
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Management status and influencing factors of disease stabilization in patients with severe mental disorders in Luzhou City， Sichuan Province by Zhang Xuemei, Li Bo, Cai Benjing, Tan Youguo, Xiang Bo, He Jing, Jiang Qidong, Tang Jian

“…Logistic regression analysis was employed to identify factors influencing the disease stabilization or fluctuation of these patients.ResultsThis study enrolled a total of 20 232 patients. …”
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A multicenter cross-sectional study on quality of life and influencing factors in patients with 10 kinds of chronic diseases by Chenyao Li, Ying Chen, Wu Li, Haifeng Ding, Qiongling Liu, Chuanzhi Xu, Chonghua Wan

“…A Multicenter Large Sample Cross-sectional Study with nine hospitals. 1953 patients with 10 kinds of chronic diseases were investigated by a general situation questionnaire, and the QLICD-GM including three domains of physical function (PHD), psychological function (PSD) and social function (SOD). The influencing factors of PHD, PSD, SOD and the overall scale were analyzed by univariate analysis such as t-test or one-way analysis of variance, and multiple linear regressions. …”
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Determinants of malaria infection among under five children in Gursum district of Somali region, Eastern Ethiopia by Dejene Edessa Gobe, Ahmed Mohammed, Abdurezak Adem, Kebede Deribe, Afona Chernet, Solomon Yared

“…The investigation involved identifying Plasmodium species using rapid diagnostic tests and microscopic blood film examination. A logistic regression model was employed to analyze the factors affecting the outcome, using statistical software STATA-13/15. …”
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Increased risk of mortality from COVID-19 in people with obesity by Ana Cristina Ribeiro, Priscila Poli, Silvia Carla da Silva André Uehara

“… Objective: to analyze the risk of mortality from COVID-19 in people with obesity. …”
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A Study on the Current Situation of Stigma and Its Influencing Factors Among Chinese Patients with Port-Wine Stains by Ran X, Yang X, Lin X, Yu W, Shang Y, Liang J, Shen L

“…However, there is no study which examined stigma among Chinese patients with PWS yet.Objective: This study aims to preliminarily investigate the stigma experienced by Chinese patients with facial and cervical PWS and analyze potential contributing factors.Methods: This post-test-only one-group study included 113 adult PWS patients from Aug to Dec 2022 at Shanghai Ninth People’s Hospital. …”
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Lifestyle and Job-Related Factors Associated with Sleep Quality: Gender-Specific Insights from Taiwanese Hospital Physicians by Hou WH, Hsu TC, Chen FL, Wu JC

“…Statistical analyses—Student’s t test, Pearson’s correlation test, and multivariate linear regression—were conducted to identify factors associated with sleep quality. …”
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Innovation Ecosystems and Economic Performance in Latin America: A Multivariate and Plithogenic Neutrosophic Approach to the Global Innovation Index, by Héctor Fernández, Purification Galindo-Villardón, Marcelo Ruiz, Alexis Matheu Pérez

“…The Principal Components Analysis (PCA) assesses the factors constituting the GII creation to reveal invisible dimensions of innovation, while k-means clustering divides the observations into three clusters relevant to structural ability and innovative achievements. …”
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Increased risk of mortality from COVID-19 in people with obesity by Ana Cristina Ribeiro, Priscila Poli, Silvia Carla da Silva André Uehara

“… Objective: to analyze the risk of mortality from COVID-19 in people with obesity. …”
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