Epidemiological characteristics of pesticide poisoning in daily life in Tiantai County, Zhejiang Province from 2015 to 2023 by XU Chenyi, GE Junhua, CHEN Xia, MAO Jiani

“…The results of binary logistic regression analysis indicated that age and types of pesticide poisoning may be the independent risk factors affecting the fatality of pesticide poisoning in daily life.ConclusionPesticide poisoning occurred frequently in Tiantai County over the years, and mainly occurred in summer, rural areas. …”
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Prognostic value and predictive model construction for patients undergoing laparoscopic radical prostatectomy based on the preoperative NPL-IRS score and prognostic nutritional ind... by Hao Wang, Pu-shen Yang, Yi-rui Wei, Da-wei Xie, Si-qi Wang, Wei-feng He, Wei Wang, Jian-wen Wang

“…Univariable and multivariable Cox regression risk models were used to identify independent risk factors. …”
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Exploring Respectful Maternity Care and its determinants: a mixed methods cross-sectional study from a rural area in central India by Chullithala Athira, Anindo Majumdar, Roshan F. Sutar, Bharti Singh, Parvathy Thampy, Ashlesh Rupani, Deepti Dabar

“…Quantitative data were analyzed using logistic regression and qualitative data through thematic analysis. …”
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Rates of fear of childbirth after previous cesarean section in Dire Dawa City, Ethiopia by Ayantu Kedir, Habtamu Bekele, Maleda Tefera

“…FOC was assessed using the Wilma Delivery Expectancy Questionnaire (W-DEQ-A), which comprises 33 items rated on a 6-point Likert scale, ranging from low to severe FOC, and data were analyzed using multivariable ordinal regression. Results: A total of 314 pregnant women participated in this study, with a response rate of 99.3%. …”
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Patterns of physical activity and sedentary behavior among Brazilian schoolchildren: analysis based on types of behavior by Lizziane Andrade Dias, Gilmar Mercês de Jesus, Graciete Oliveira Vieira

“…The associations between PA and SB patterns and age (7–9 years old; 10–12 years old), school shift (morning; afternoon), and weekly attendance PEC (0/week; 1/week; ≥2/week) were analyzed by Logistic Regression. Results Among girls, two distinct patterns emerged: “Active players” (n = 549, 44.1%) and “Sedentary/Household chores performers” (n = 697, 55.9%); and three patterns among boys: “Active play/Structured PA practitioners” (n = 322, 29.8%), “Sedentary on screen” (n = 369, 34.1%), and “Sedentary on academic tasks” (n = 390, 36.1%). …”
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Utilizing SMOTE-TomekLink and machine learning to construct a predictive model for elderly medical and daily care services demand by Guangmei Yang, Guangdong Wang, Leping Wan, Xinle Wang, Yan He

“…Based on questionnaire information combined with feature selection, unbalanced data processing and machine learning methods, this study constructed a machine learning model for predicting the demand for medical and daily care services for the elderly, and analyzed the influencing factors of the demand for medical and daily care services for the elderly, providing a reference for the construction and verification of future prediction models for the demand for medical and daily care services for the elderly.…”
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Effect of repeated controlled ovarian stimulation on pregnancy outcomes in fresh embryo transfer cycles: a retrospective cohort study by Shiming Wang, Xiaoli Chen, Ningning Wang, Yingchun Su, Lin Qi

“…Results Among populations with different numbers of COS cycles, regression analyses found that the number of COS cycles had no significant impact on pregnancy outcomes (p > 0.05) after adjusting for confounding factors. …”
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The predictive utility of the E-PASS score for postoperative complications in robot-assisted partial nephrectomy: a retrospective cohort study by Cagatay Ozsoy, Erhan Ates, Resat Inal, Mucahit Gelmis, Sahin Kilic, Mutlu Ates

“…Existing nephrometry scores focus on tumor anatomy but neglect patient-specific and intraoperative factors. The Estimation of Physiologic Ability and Surgical Stress (E-PASS) score, originally developed for gastrointestinal surgery, combines physiological and surgical parameters for the prediction of postoperative risk. …”
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Spatial Analysis of the Concentration of Knowledge-Based Firms in Iran by Najmoddin Yazdi, Mahdi Fateh-rad, Jamal Kadkhodapour, Siamak Tahmasbi

“…Conversely, clusters of low concentrations were observed in Hormozgan and Ilam provinces.We utilized the OLS regression model to analyze the conditions and factors influencing the concentration of knowledge-based companies in specific regions. …”
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Relationship between occupational stress and occupational injury of workers in a cable manufacturing enterprise by decision tree model by Ting XU, Juan QIAN, Yishuo GU, Daozheng DING, Jianjian QIAO, Yong QIAN, Xiaojun ZHU, Jingguang FAN

“…Logistic regression was used to identify factors influencing occupational stress, and a decision tree model was applied to assess the impact of occupational stress on injury risk. …”
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Determinants of rice consumer lexicographic preferences in South Sulawesi Province, Indonesia by Natsir Mohammad, Mardiyati Sri, Syafiuddin Syafiuddin

“…Understanding consumer preferences is essential for stakeholders in the rice supply chain, including producers, marketers, and policymakers. This study aims to analyze the factors that influence the hedonic price of rice and analyze the factors that determine the lexicographic preferences of rice consumers. …”
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New frequency stability assessment based on contribution rates of wind power plants by SungHoon Lim, KangWon Seo, Jung-Wook Park, Kwang Y. Lee

“…To do so, this paper first analyzes the factors from SGs and WPPs, such as inertia, power reserves, resource conditions, and available frequency responses, and compares their roles in supporting frequency stability. …”
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Driving Forces and Future Scenario Simulation of Urban Agglomeration Expansion in China: A Case Study of the Pearl River Delta Urban Agglomeration by Zeduo Zou, Xiuyan Zhao, Shuyuan Liu, Chunshan Zhou

“…Geographic detector analysis demonstrated pronounced interaction effects: all factor pairs exhibited either two-factor enhancement or nonlinear enhancement effects, with interaction explanatory power surpassing individual factors. (3) Validation of the Patch-generating Land Use Simulation (PLUS) model showed high reliability (Kappa coefficient = 0.9205, overall accuracy = 95.9%). …”
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Geo-behavioural predictors of diagnosed hypertension in Igbo Ora Area, Oyo State, Nigeria by Olalekan J. Taiwo, Joshua O. Akinyemi, Ayodeji Adebayo, Oluwafemi A. Popoola, Rufus O. Akinyemi, Onoja M. Akpa, Paul Olowoyo, Akinkunmi P. Okekunle, Ezinne O. Uvere, Omotolani Titilayo Ajala, Chukwuemeka Nwimo, Olayinka J. Adebajo, Adewale E. Ayodele, Ayodeji Salami, Oyedunni S. Arulogun, Olanrewaju Olaniyan, Richard W. Walker, Carolyn Jenkins, Bruce Ovbiagele, Mayowa Owolabi

“…Spatial patterns were analyzed using the Nearest Neighbour Statistic, Ripley K Function, and Kernel Density Estimation, while Binomial logistic regression identified predictors. …”
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Statistical models for predicting the number of under-five mortality in Nepal. by Madhav Kumar Bhusal, Shankar Prasad Khanal

“…The zero-inflated negative binomial regression (ZINBR) model was fitted as the most plausible model to analyze the number of under-five mortality by its covariates after assessing the different count models including the Poisson regression (PR) model, negative binomial regression (NBR) model, zero-inflated negative binomial regression (ZINBR) model, and hurdle negative binomial regression (HNBR) model.…”
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Clinical characteristics and prognosis of anti-MDA5 antibody positive dermatomyositis patients with secondary interstitial lung disease by MA Zongbo, ZHAO Cheng, QIN Fang, CHEN Zhanrui, PAN Dongmei, ZENG Wen, LIAO Xiaoling, LEI Ling

“…Objective To analyze the clinical characteristics and prognostic factors of anti-melanoma differentiation-associated gene 5 (MDA5)-positive dermatomyositis (DM) patients with secondary interstitial lung disease (ILD). …”
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Parental hesitancy on COVID-19 vaccination of children under the age of 16: A cross-sectional mixed-methods study among factory workers. by Kyaw Thiha Aung, Ye Minn Htun, Zin Lin Htet, Yan Naing Myint Soe, Phyo Ko Ko, Win Oo, May Soe Aung, Tun Tun Win

“…The quantitative data were collected by the face-to-face interviews using a pretested structured questionnaire that included the Oxford COVID-19 vaccine hesitancy scale. Data were analyzed by using binary logistic regression to identify associated factors of parental hesitancy. …”
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Predictors of high maintenance prostaglandin E1 doses in neonates with critical congenital heart disease-ductal-dependent pulmonary circulation during preoperative care by Fonthip Naiyananon, Supaporn Dissaneevate, Anucha Thatrimontrichai, Waricha Janjindamai, Gunlawadee Maneenil, Manapat Praditaukrit, Supaporn Roymanee, Voravit Chittithavorn, Alan Geater

“…Methods: This retrospective cohort study included neonates with CCHD-DDPC at Songklanagarind Hospital between January 1, 2006, and December 31, 2021. Factors associated with high maintenance PGE1 doses (> 0.01 mcg/kg/min) were analyzed to identify predictors. …”
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Gold as an investment instrument in times of financial instability by E. A. Zolotova, L. A. Samchenko, E. A. Pasko, A. G. Zolotova

“…This article examines the key factors influencing the dynamics of the gold market, its features and development prospects. …”
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Perioperative evaluation of CT-based body composition as predictors of postoperative outcome following pancreaticoduodenectomy by Lina Cai, Sizhen Wang, Yehua Xie, Hengyu Zheng, Daojun Zhu, Yi Xiao, Xinbo Wang, Xianghong Ye

“…Uni and multivariate logistic regression models were applied to analyze the correlation between major complications, clinically relevant postoperative fistula (CR-POPF) and body composition abnormalities.ResultsFor 231 patients, the incidence of sarcopenia and visceral obesity was 151 (65.4) and 97 (42.0). …”
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