Prediction of digestible energy requirement in growing finishing stage of pigs using machine learning models by Nibas Chandra Deb, Jayanta Kumar Basak, Sijan Karki, Elanchezhian Arulmozhi, Dae Yeong Kang, Niraj Tamrakar, Eun Wan Seo, Junghoo Kook, Myeong Yong Kang, Hyeon Tae Kim

“…Therefore, this study sought to predict the digestible energy requirement (DER) in the growing-finishing phase of pigs, where four machine learning (ML) models: multiple linear regression (MLR), support vector regression (SVR), random forest regression (RFR), and multilayer perceptron (MLP) were applied across four datasets, with the input parameters including body weight of pigs (BW), inside temperature (IT), inside relative humidity (IRH), and inside CO2 concentration (ICO2) of pig barns. …”
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Petrological controls on the engineering properties of carbonate aggregates through a machine learning approach by Javid Hussain, Tehseen Zafar, Xiaodong Fu, Nafees Ali, Jian Chen, Fabrizio Frontalini, Jabir Hussain, Xiao Lina, George Kontakiotis, Olga Koumoutsakou

“…To enhance predictive accuracy, advanced machine learning models, including Random Forest, Gradient Boosting, Multi-Layer Perceptron, and Categorical Boosting, were applied. …”
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Playing hide and seek with primates: A comparative study of Theory of Mind by Aurore San‑Galli, Marie Devaine, Cinzia Trapanese, Shelly Masi, Sébastien Bouret, Jean Daunizeau

“…Critically, we varied the sophistication of these algorithms, yielding three conditions, ranging from a control (a simple random biased sequence) to a mildly sophisticated ToM agent (1-ToM). …”
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Prevalence of asymptomatic Leishmania donovani infection and associated factors in Ethiopia: a systematic review and meta-analysis by Habtamu Belay, Adugna Abera, Esayas Aklilu, Tesfahun Bishaw, Ayinalem Alemu, Geremew Tasew, Berhanu Erko

“…Pooled estimate of asymptomatic L. donovani infection derived using a random effects model. Study heterogeneity assessed using Chi-square (χ²)-based Q test (p < 0.1) and I² subgroup analysis and meta-regression conducted with significance set at p < 0.05. …”
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Impact of online health education on attention-deficit/hyperactivity disorder screening results and parenting stress among school-aged children by Jing Tan, Wenxia Yi, Jianna Shen, Bin Peng, Min Gong, Feng Li, Li Chen

“…AimsTo investigate the effects of an online health education lecture on the positive screening rate of attention-deficit/hyperactivity disorder (ADHD) and parenting stress among parents of children diagnosed with or screened positive for ADHD.MethodsUsing stratified proportional random cluster sampling, 14 primary schools in Chongqing were selected to conduct an online lecture about ADHD for parents and teachers. …”
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The impact of teacher emotional support on learning engagement among college students mediated by academic self-efficacy and academic resilience by Wenjing Guo, Juan Wang, Na Li, Luxin Wang

“…This study utilized a random sampling method to survey 414 eligible college students from a university in western Shandong Province, China. …”
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Self-perception of risk for HIV acquisition among people in prisons in Iran: A nationwide survey in 2017 by Zahra Abdolahinia, Seyed Aria Nejadghaderi, Soheil Mehmandoost, AliAkbar Haghdoost, Abedin Iranpour, Mohammad Karamouzian, Hamid Sharifi

“…Methods In 2017, we conducted a cross-sectional study in Iran using multistage random sampling approach to recruit participants from 33 prisons in Iran. …”
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Prevalence, awareness, treatment, control, and treatment-control rates of hypertension among adults in Hubei province: a cross-sectional survey by Tianjing HE, Lan ZHANG, Shuzhen ZHU, Miaoyan SHEN, Qian LI, Yumeng TANG, Mengge ZHOU, Jingju PAN

“…MethodsBlood pressure measurement and face-to-face interview with the Chinese Adult Chronic Disease and Risk Factor Surveillance Survey Questionnaire were conducted during May – December 2020 among 21 973 adult (≥ 18 years) permanent residents recruited using stratified multistage random cluster sampling at 10 counties/districts/prefectures in Hubei province. …”
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Heat-related mortality in Mexico: A multi-scale spatial analysis of extreme heat effects and municipality-level vulnerability by Lara Schwarz, Chen Chen, Javier Emmanuel Castillo Quiñones, L.C. Aguilar-Dodier, Kristen Hansen, Jaime Reyes Sanchez, David J.X. González, Gordon McCord, Tarik Benmarhnia

“…A within-community matched design with Bayesian Hierarchical model explored effects across 2456 municipalities. A random-effects meta-regression was applied to understand which municipality-level socio-demographic characteristics such as education, age and housing predicted observed spatial heterogeneity. …”
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Effectiveness of flipped classrooms in Chinese students of clinical medicine major undergoing clinical practice: a meta-analysis by Xinrui Sun, Xin Yuan, Linyu Zhang, Yi Zhang, Xue Xiao, Hanmin Liu, Fang Ma

“…The Cochrane Risk of Bias tool for randomized trials was used for methodological quality assessment. …”
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Correcting forest aboveground biomass biases by incorporating independent canopy height retrieval with conventional machine learning models using GEDI and ICESat-2 data by Biao Zhang, Zhichao Wang, Tiantian Ma, Zhihao Wang, Hao Li, Wenxu Ji, Mingyang He, Ao Jiao, Zhongke Feng

“…To obtain CH data, this study utilized three spaceborne LiDAR datasets: ICESat-2 ATL08, ICESat-2 ATL03/ATL08 fusion data, and GEDI-L2A. Random Forest (RF) and Monte Carlo-based uncertainty analysis were employed to evaluate the most suitable spaceborne LiDAR dataset for CH estimation. …”
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Assessing Physician and Patient Agreement on Whether Patient Outcomes Captured in Clinical Progress Notes Reflect Treatment Success: Cross-Sectional Study by Sarah B Floyd, Jordyn C Sutton, Marvin Okon, Mary McCarthy, Liza Fisher, Benjamin Judkins, Zachary Cole Reynolds, Ann Blair Kennedy

“…From the full dataset of 1000 physician-labeled notes, a stratified random sample of 25 notes from each outcome label group was identified for this study. …”
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MRI-based deep learning and radiomics for predicting the efficacy of PD-1 inhibitor combined with induction chemotherapy in advanced nasopharyngeal carcinoma: A prospective cohort... by Yiru Wang, Fuli Chen, Zhechen Ouyang, Siyi He, Xinling Qin, Xian Liang, Weimei Huang, Rensheng Wang, Kai Hu

“…Methods: Ninety-nine patients diagnosed with advanced NPC were enrolled and randomly divided into training set and test set in a 7:3 ratio. …”
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Dengue dynamics, predictions, and future increase under changing monsoon climate in India by Yacob Sophia, Mathew Koll Roxy, Raghu Murtugudde, Anand Karipot, Amir Sapkota, Panini Dasgupta, Kalpana Baliwant, Sujata Saunik, Abhiyant Tiwari, Rajib Chattopadhyay, Revati K. Phalkey

“…Based on these weather-dengue associations, we developed a machine-learning model utilizing the random forest regression algorithm. The dengue model yields a skillful forecast, achieving a statistically significant correlation coefficient of r = 0.77 and a relatively low Normalized Root Mean Squared Error score of 0.52 between actual and predicted dengue mortalities, at a lead time of two months. …”
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Application of the Canon 320 Row Variable Helical Pitch CTA System Combined with Iterative Reconstruction Technology for Lower Limb Vascular Imaging by Wenchao JI, Weili TIAN, Wenya LIU, Lianghao HE, Jian YANG

“…The patients, who all underwent CT angiography of the lower limb arteries, were divided into two groups (A and B; 20 patients/group) through double-blind random grouping. Both groups were treated with 370 mg/mL of the contrast agent iodoparol at a tube voltage of 120 kV. …”
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Aluminium adjuvants versus placebo or no intervention in vaccine randomised clinical trials: a systematic review with meta-analysis and Trial Sequential Analysis by Christian Gluud, Marija Barbateskovic, Sara Russo Krauss, Janus C Jakobsen, Sesilje Bondo Petersen, Sarah Louise Klingenberg, Snezana Djurisic, Mette Kenfelt, De Zhao Kong

“…We explored both fixed-effect and random-effects models, with 95% CI. Heterogeneity was quantified with I2 statistic. …”
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Major Adverse Cardiovascular Events in Primary Aldosteronism After Adrenalectomy or Mineralocorticoid Receptor Antagonist Treatment: A Systematic Review and Meta‐Analysis by Chien‐Wei Huang, Tse‐Ying Huang, Ya‐Fei Yang, Li‐Yang Chang, Yu‐Kang Tu, Vin‐Cent Wu, Jui‐Yi Chen

“…Studies reporting the MACE incidence rate in patients with PA after treatment were included. We adapted the random‐effects model and performed subgroup and meta‐regression analyses. …”
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Evaluating the Relationship between Factors Enhancing the Competitiveness of Customer Foreign Currency Services in the Banking Industry by Saeideh Rahimi, Alireza Rousta, Farzad Asayesh

“…The sample size consisted of 166 individuals, including experts and knowledgeable individuals, selected using a random sampling method. ResultsUsing the Delphi method, a pattern for promoting the capability of competitiveness of customer foreign currency services in the banking industry was extracted. …”
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A pilot study examining Toronto-area family physician perspectives on thyroid neoplasm evaluation by Arjun Kundra, David P. Goldstein, Kimberly Wintemute, Sangeet Ghai, Richard W. Tsang, Karuna Gupta, Donatus R. Mutasingwa, Jeff Weissberger, Ella Huszti, Patrick Brown, Huan Jiang, Anna M. Sawka

“…Methods We performed a cross-sectional mail-out written survey of a random sample of 300 FPs in active practice in the Greater Toronto Area (Markham and Brampton). …”
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Construction of a novel radioresistance-related signature for prediction of prognosis, immune microenvironment and anti-tumour drug sensitivity in non-small cell lung cancer by Yanliang Chen, Chan Zhou, Xiaoqiao Zhang, Min Chen, Meifang Wang, Lisha Zhang, Yanhui Chen, Litao Huang, Junjun Sun, Dandan Wang, Yong Chen

“…The least absolute shrinkage and selection operator (LASSO) regression and random survival forest (RSF) were used to screen for prognostically relevant RRRGs. …”
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