Effects of dribbling restrictions in small-sided games on aerobic and anaerobic fitness in youth basketball players by Mingbang Li, Liang Tan, Hong Wu, Jianwei Wu

“…Coaches may consider incorporating limited-dribbling conditions into SSGs to boost the intensity of training sessions, improve cardiovascular endurance, and enhance anaerobic power.…”
Get full text

Machine Learning Does Not Improve Humeral Torsion Prediction Compared to Regression in Baseball Pitchers by Garrett S Bullock, Charles A Thigpen, Gary S Collins, Nigel K Arden, Thomas K Noonan, Michael J Kissenberth, Ellen Shanley

“…Random Forest RMSE was 9° and calibration was 1.33 (95% CI: 1.29, 1.37). Gradient boosting machine RMSE was 9° and calibration was 1.09 (95% CI: 1.04, 1.14). …”
Get full text

Multitask Learning-Based Pipeline-Parallel Computation Offloading Architecture for Deep Face Analysis by Faris S. Alghareb, Balqees Talal Hasan

“…Additionally, both pipeline and parallel processing techniques are utilized to expedite complicated computations, boosting the overall performance of the presented deep face analysis architecture. …”
Get full text

Enhancing healthcare utilization and reducing preventable hospitalizations: exploring the healthcare-seeking propensity of patients with non-communicable diseases in Rural China by Yanqiu Hou, Wenyu Li, Shangai Li, Linxuan Chen, Jiayu An, Shan Lu

“…Establishing a robust network of primary healthcare facilities and emphasizing the role of family doctors can boost patients’ propensity to seek healthcare. Clinical trial number Not applicable.…”
Get full text

Performance of RIS-Secured Short-Packet NOMA Systems With Discrete Phase-Shifter to Protect Digital Content and Copyright Against Untrusted User by Nguyen Quang Sang, Hye-Young Kim, Tan N. Nguyen, Minh Bui Vu, Phuong T. Tran, Tran Trung Duy, Byung-Seo Kim, Miroslav Voznak

“…Especially, incorporating Reconfigurable Intelligent Surfaces (RIS) with NOMA/SPC-based systems can further boost the system’s spectral efficiency as well as enhance communication coverage. …”
Get full text

Artificial intelligence-based prediction of second stage duration in labor: a multicenter retrospective cohort analysisResearch in context by Xiaoqing Huang, Xiaodan Di, Suiwen Lin, Minrong Yao, Suijin Zheng, Shuyi Liu, Wayan Lau, Zhixin Ye, Zilian Wang, Bin Liu

“…Eight risk features were selected through the RFE process. Gradient boosting machine implemented by decision tree models achieved the best performance, yielding areas under the curve for 1-h and 2-h models of 0.808 (95% confidence interval [CI] 0.797–0.819) and 0.824 (95% CI 0.804–0.843) in the testing set, and 0.862 (95% CI 0.854–0.870) and 0.859 (95% CI 0.843–0.875) in the external validation set, respectively. …”
Get full text

RCE-IFE: recursive cluster elimination with intra-cluster feature elimination by Cihan Kuzudisli, Burcu Bakir-Gungor, Bahjat Qaqish, Malik Yousef

“…Furthermore, RCE-IFE surpasses several state-of-the-art FS methods, such as Minimum Redundancy Maximum Relevance (MRMR), Fast Correlation-Based Filter (FCBF), Information Gain (IG), Conditional Mutual Information Maximization (CMIM), SelectKBest (SKB), and eXtreme Gradient Boosting (XGBoost), obtaining an average AUC of 0.76 on five gene expression datasets. …”
Get full text

Conditional diffusion-generated super-resolution for myocardial perfusion MRI by Changyu Sun, Changyu Sun, Neha Goyal, Yu Wang, Darla L. Tharp, Senthil Kumar, Talissa A. Altes

“…Our results showed significant image quality improvements, with a 5.1% reduction in nRMSE, a 1.1% increase in PSNR, and a 2.2% boost in SSIM compared to GAN-based super-resolution method (P < 0.05 for all metrics using paired t-test) in retrospective study. …”
Get full text

Risk Index Model of Property and Cargo Insurance Claims Based on Precipitation in Hunan by Peng Weiying, Li Yueyong, Tan Shiqi, Li Hao, Guan Jianwen, Liao Chunhua, Zhou Wei, Xie Ruiheng

“…Such proactive measures are customized for different types of property and cargo insurance, thereby boosting the region's ability to reduce potential property and casualty insurance risks linked to precipitation events. …”
Get full text

An ecological, environmental, and economic indicators-based approach towards enhancing sustainability in water and nutrient use for passion fruit cultivation in Colombia by Sonia Mercedes Polo-Murcia, Nesrine Chaali, Camilo Ignacio Jaramillo-Barrios, Sofiane Ouazaa, Victor Javier Polo, John Edisson Calderon Carvajal

“…Efficient irrigation and fertilization strategies can enhance soil health, reduce environmental impact, and boost crop profitability. However, their application to passion fruit remains underexplored. …”
Get full text

Antiviral therapy can effectively suppress irAEs in HBV positive hepatocellular carcinoma treated with ICIs: validation based on multi machine learning by Shuxian Pan, Zibing Wang

“…Models were established using Lasso, RSF (RandomForest), and xgBoost, with ten-fold cross-validation and resampling methods used to ensure model reliability. …”
Get full text

Predicting egg production rate and egg weight of broiler breeders based on machine learning and Shapley additive explanations by Hengyi Ji, Yidan Xu, Ganghui Teng

“…Accurately predicting egg production rate and egg weight provides a scientific basis for farm operations, aiding in optimizing resource allocation, improving production efficiency, enhancing animal welfare, and ultimately boosting the farm's profitability.…”
Get full text

Petrophysical Regression regarding Porosity, Permeability, and Water Saturation Driven by Logging-Based Ensemble and Transfer Learnings: A Case Study of Sandy-Mud Reservoirs by Shenghan Zhang, Yufeng Gu, Yinshan Gao, Xinxing Wang, Daoyong Zhang, Liming Zhou

“…Based on this knowledge, ensemble learning technique, partially developed for fitting problems, can be regarded as a solution. Light gradient boosting machine (LightGBM) is proved as one representative of the state-of-the-art ensemble learning, thus adopted as a potential solver to predict three target reservoir characters. …”
Get full text

Challenges and support factors in managing type 2 diabetes among pregnant women in Thailand: A convergent mixed-methods study by Ratchanok Phonyiam, Chiao-Hsin Teng, Catherine Sullivan, Aunchalee Palmquist, Eric Hodges, Yamnia Cortés, Marianne Baernholdt

“…Regarding the clinical implication, it is important to tailor approaches to the Thai context and to prioritize education and boost women’s confidence in managing diabetes throughout pregnancy. …”
Get full text

Exogenous diethyl aminoethyl hexanoate alleviates the damage caused by low-temperature stress in Phaseolus vulgaris L. seedlings through photosynthetic and antioxidant systems by Yu Bai, Qiya Dai, Yanheng He, Li Yan, Jianpo Niu, Xuan Wang, Yongdong Xie, Xuena Yu, Wen Tang, Huanxiu Li, Zhi Huang, Bo Sun, Guochao Sun, Xun Wang, Yi Tang

“…It also improved the photosynthetic efficiency by boosting electron transport in the reaction center. …”
Get full text

Phase II clinical trial assessing the addition of hyperthermia to salvage concurrent chemoradiotherapy for unresectable recurrent head and neck cancer in previously irradiated pati... by Kai-Lin Yang, Mau-Shin Chi, Chung-Yu Hao, Hui-Ling Ko, Yi-Ying Huang, Ren-Hong Wu, Hung-Chih Lai, Ying-Chu Lin, Sheng-Po Hao, Kwan-Hwa Chi

“…RT consisted of an upfront boost with 10 Gy in 2 fractions to gross tumor volume, followed by 40 Gy in 20 fractions to clinical target volume, for a total of 50 Gy in 22 fractions. …”
Get full text

Multimodal Pain Recognition in Postoperative Patients: Machine Learning Approach by Ajan Subramanian, Rui Cao, Emad Kasaeyan Naeini, Seyed Amir Hossein Aqajari, Thomas D Hughes, Michael-David Calderon, Kai Zheng, Nikil Dutt, Pasi Liljeberg, Sanna Salanterä, Ariana M Nelson, Amir M Rahmani

“…Machine learning classifiers, including support vector machine, random forest, adaptive boosting, and k-nearest neighbors, were trained using weak supervision and minority oversampling to handle sparse and imbalanced pain labels. …”
Get full text

Efficacy of carbonyl cyanide-3-chlorophenylhydrazone in combination with antibiotics against Mycobacterium abscessus by Jifang Zheng, Qiang Liu, Haoran Wang, Fengmin Huo, Junnan Jia, Hairong Huang, Suting Chen

“…The simultaneous use of CCCP with traditional antibiotics shows a synergistic effect across a wide range, significantly boosting the ability to inhibit the growth of M. abscessus throughout its growth phases. …”
Get full text

Comparison of Machine Learning Methods and Conventional Logistic Regressions for Predicting Gestational Diabetes Using Routine Clinical Data: A Retrospective Cohort Study by Yunzhen Ye, Yu Xiong, Qiongjie Zhou, Jiangnan Wu, Xiaotian Li, Xirong Xiao

“…Eight common machine learning methods (GDBT, AdaBoost, LGB, Logistic, Vote, XGB, Decision Tree, and Random Forest) and two common regressions (stepwise logistic regression and logistic regression with RCS) were implemented to predict the occurrence of GDM. …”
Get full text

Exploring the barriers to cervical screening and perspectives on new self-sampling methods amongst under-served groups by Stephanie Gillibrand, Helen Gibson, Kelly Howells, Sean Urwin, Jennifer C. Davies, Emma J. Crosbie, Caroline Sanders

“…The introduction of self-sampling alongside traditional methods may reduce barriers to screening, and may boost screening rates for under-screened groups but only if they are implemented with appropriate information and sufficient communication. …”
Get full text