Inversion of Water Quality Parameters from UAV Hyperspectral Data Based on Intelligent Algorithm Optimized Backpropagation Neural Networks of a Small Rural River by Manqi Wang, Caili Zhou, Jiaqi Shi, Fei Lin, Yucheng Li, Yimin Hu, Xuesheng Zhang

“…To intuitively evaluate the performance of the hybrid optimization algorithm, its prediction accuracy is compared with that of conventional machine learning algorithms (Random Forest, CatBoost, XGBoost, BPNN, GA–BPNN and PSO–BPNN). …”
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Optimization of a microarray for fission yeast by Dong-Uk Kim, Minho Lee, Sangjo Han, Miyoung Nam, Sol Lee, Jaewoong Lee, Jihye Woo, Dongsup Kim, Kwang-Lae Hoe

“…Compared to the first version of the array (11 µm, 100K) consisting of three sectors with probe pairs (perfect match and mismatch), the second version (11 µm, 48K) could represent ~10,000 up-/down-tags in quadruplicate along with 1,508 negative controls in quadruplicate and a single set of 1,000 unique negative controls at random dispersed positions without mismatch pairs. …”
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Prediction of successful weaning from renal replacement therapy in critically ill patients based on machine learning by Qiqiang Liang, Xin Xu, Shuo Ding, Jin Wu, Man Huang

“…Next, we demonstrated that machine learning models, especially Random Forest and XGBoost, achieving an AUROC of 0.95. …”
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Relationship between sleep and myopia among primary and secondary school students with different durations of outdoor activities in Beijing: a cross-sectional survey by Jingshu ZHANG, Ting LI, Han YANG, Ran QIN, Hai ZHAO, Lu WANG, Bingjie SUN, Xin GUO

“…MethodsFrom September to December 2021, 24 326 students recruited using stratified random cluster sampling from 16 districts in Beijing municipality underwent visual acuity testing and an on-site anonymous online questionnaire survey. …”
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Decreased frequency of sugar-sweetened beverages intake among young children following the implementation of the health promotion levy in South Africa by H Salome Kruger, Tertia van Zyl, Makama A Monyeki, Cristian Ricci, Ruan Kruger

“…The health promotion levy was implemented after baseline and follow-up measurements were done after 4 years. A random intercept generalised linear mixed model analysis was applied to investigate the time effect of the weekly intake of the foods adjusting for BMI-for-age z-scores and sociodemographic characteristics of the children. …”
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Ventricular function assessment using an ultrafast spoiled gradient echo sequence with an intravascular blood pool contrast agent in pediatric patients. by Tayaba Miah, Rithvik Gunda, Gerald Greil, Mohammad Hussain, Qing Zou

“…All Bland-Altman plots show good agreement and reveal no systematic bias or random error.<h4>Conclusion</h4>T1-TFE sequences in combination with Ferumoxytol allow reliable ventricular function assessment and overcome the limitations of traditional bSSFP MR sequences in this context.…”
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Machine learning-based prediction of in-hospital mortality for critically ill patients with sepsis-associated acute kidney injury by Tianyun Gao, Zhiqiang Nong, Yuzhen Luo, Manqiu Mo, Zhaoyan Chen, Zhenhua Yang, Ling Pan

“…Eleven variables were finally chosen to develop the prediction model. The AUC of the random forest (RF) model was the highest value both in the Ten-fold cross-validation and evaluation (AUC: 0.798, 95% CI: 0.774–0.821). …”
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Inhibition of Aβ Aggregation by Cholesterol-End-Modified PEG Vesicles and Micelles by Shota Watanabe, Motoki Ueda, Shoichiro Asayama

“…CD spectroscopy indicated that Aβ maintained its random coil structure in the presence of Chol-PEG assemblies at a 50-fold molar ratio. …”
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Pulmonary function among flour mill workers: a systematic review and meta-analysis by Kuldip Upadhyay, Bhavani Shankara Bagepally, Rakesh Balachandar, Ankit Sheth, Ankit Viramgami

“…The Newcastle Ottawa scale was used to assess the risk of bias among included studies. With the random effect model, we pooled (along with 95% CI) the mean difference for forced expiratory volume in the first second (FEV1), forced vital capacity (FVC), the ratio of FEV1 & FVC, mid-expiratory flow (FEF25-75%), peak expiratory flow rate (PEFR) and other pulmonary function parameters. …”
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Improvement of Citrus Yield Prediction Using UAV Multispectral Images and the CPSO Algorithm by Wenhao Xu, Xiaogang Liu, Jianhua Dong, Jiaqiao Tan, Xulei Wang, Xinle Wang, Lifeng Wu

“…Extreme gradient boosting (XGB), random forest (RF), support vector machine (SVM), gaussian process regression (GPR), and multiple stepwise regression (MSR) models were used to construct citrus fruit number and quality prediction models. …”
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In Situ Classification of Original Rocks by Portable Multi-Directional Laser-Induced Breakdown Spectroscopy Device by Mengyang Zhang, Hongbo Fu, Huadong Wang, Feifan Shi, Saifullah Jamali, Zongling Ding, Bian Wu, Zhirong Zhang

“…Initially, spectral data were collected from random areas of each rock sample, and a series of pre-processing steps and data dimensionality reduction were performed to enhance the accuracy and efficiency of the LIBS device. …”
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Comparative Evaluation of Consumer Wearable Devices for Atrial Fibrillation Detection: Validation Study by Femke Wouters, Henri Gruwez, Christophe Smeets, Anessa Pijalovic, Wouter Wilms, Julie Vranken, Zoë Pieters, Hugo Van Herendael, Dieter Nuyens, Maximo Rivero-Ayerza, Pieter Vandervoort, Peter Haemers, Laurent Pison

“…The participants were instructed to perform heart rhythm measurements using a handheld 6-lead electrocardiogram (ECG) device (KardiaMobile 6L), a smartwatch-derived single-lead ECG (Apple Watch), and two PPG-based smartphone apps (FibriCheck and Preventicus) in a random sequence, with simultaneous 12-lead reference ECG as the gold standard. …”
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The Prevalence of Intestinal Parasites and Their Associated Factors among Diabetes Mellitus Patients at the University of Gondar Referral Hospital, Northwest Ethiopia by Sintayehu Ambachew, Muluneh Assefa, Yalewayker Tegegne, Ayalew Jejaw Zeleke

“…A total of 234 diabetes mellitus patients were enrolled. A systematic random sampling technique was used to select study participants. …”
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Conventional endotracheal tubes versus polymer-coated tubes in ventilator-associated pneumonia development: A systematic review and meta-analysis by Oscar Inácio de Mendonça Bisneto, Luanna Paula Garcez de Carvalho Feitoza, Larissa Calixto Hespanhol, Sávio Benvindo Ferreira, Caroline Serafim Dagostin, Roberto Augusto Mazetto Silva Vieira, Lucas Alencar Queiroz, Lucas Chen, Taniela Marli Bes, Ho Yeh Li

“…During May 2024, we searched multiple databases (PubMed, Cochrane and Embase) for randomized controlled trials (RCT) comparing the incidence of ventilator-associated pneumonia between conventional and coated tubes. …”
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Development and validation of an explainable machine learning prediction model of hemorrhagic transformation after intravenous thrombolysis in stroke by Yanan Lin, Yan Li, Yayin Luo, Jie Han

“…HT was defined as any hemorrhage on head CT scan completed within 48 h after IV-tPA administration. We utilized the Random Forest (RF), Multilayer Perceptron (MLP), Adaptive Boosting (AdaBoost), and Gaussian Naive Bayes (GauNB) algorithms to develop ML-HT models. …”
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SPAGRM: effectively controlling for sample relatedness in large-scale genome-wide association studies of longitudinal traits by He Xu, Yuzhuo Ma, Lin-lin Xu, Yin Li, Yufei Liu, Ying Li, Xu-jie Zhou, Wei Zhou, Seunggeun Lee, Peipei Zhang, Weihua Yue, Wenjian Bi

“…A common strategy is to incorporate a random effect related to genetic relatedness matrix (GRM) into regression models. …”
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Effect of short inter-pregnancy interval on perinatal and maternal outcomes among pregnant women in SSA 2023: Systematic review and meta-analysis. by Fentahun Yenealem Beyene, Kihinetu Gelaye Wudineh, Simachew Animen Bantie, Azimeraw Arega Tesfu

“…All statistical analyses were done using STATA version17 software for windows, and meta-analysis was used with a random-effects method. The results are presented using texts, tables and forest plots with measures of effect and 95% confidence interval.…”
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Harmony in healthcare: recommended infant feeding practices and associated factors among HIV positive mothers in Eastern Ethiopian hospitals by Muluken Yigezu, Natnael Kebede

“…Participants were selected using systematic random sampling techniques. Data was collected through pre-tested structured face-to-face interviews administered by trained interviewers. …”
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Effectiveness of digital behaviour change interventions for promoting physical activity in adolescents with overweight and obesity: A systematic review and meta-analysis by Puteri Shanaz Jahn Kassim, Noor Azimah Muhammad, Nur Faraheen Abdul Rahman, Sherina Mohd Sidik, Cecilia A. Essau, Shamsul Azhar Shah

“…Meta-analyses were performed using random effects models. The BCTs used within the DBCIs were coded using the Behaviour Change Technique taxonomy (v1). …”
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Evaluating the Impact of Data Transformation Techniques on the Performance and Interpretability of Software Defect Prediction Models by Yu Zhao, Zhiqiu Huang, Lina Gong, Yi Zhu, Qiao Yu, Yuxiang Gao

“…Through empirical research on (i) six classification techniques (random forest, decision tree, logistic regression, Naive Bayes, K-nearest neighbors, and multilayer perceptron), (ii) six performance evaluation indicators (Accuracy, Precision, Recall, F1, MCC, and AUC), (iii) two interpretable methods (permutation and SHAP), (iv) two feature importance measures (Top-k feature rank overlap and difference), and (v) three datasets (Promise, Relink, and AEEEM), our results show that the data transformation methods can significantly improve the performance of the SDP models and greatly affect the variation of the most important features. …”
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