Machine learning algorithms as early diagnostic tools for prolonged operative time in patients with fluorescent laparoscopic cholecystectomy: a retrospective cohort study by Chu Wang, Chu Wang, JunYe Wen, ZiYi Su, HanXiang Yu

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Next generation sequencing reveals the mutation landscape of Chinese MDS patients and the association between mutations and AML transformations by Yu Liu, Huanchen Cheng, Mei Cheng, Meng Sun, Jun Ma, Tiejun Gong

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Machine learning-assisted multi-dimensional transcriptomic analysis of cytoskeleton-related molecules and their relationship with prognosis in hepatocellular carcinoma by Yuxuan Li, Mingbo Cao, Xiaorui Su, Gaoyuan Yang, Yupeng Ren, Zhiwei He, Zheng Shi, Ziyi Hu, Guirong Liang, Qi Zhang, Zhicheng Yao, Meihai Deng

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Machine learning for the diagnosis accuracy of bipolar disorder: a systematic review and meta-analysis by Yi Pan, Pushi Wang, Bowen Xue, Yanbin Liu, Xinhua Shen, Shiliang Wang, Xing Wang

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Lake Water Level Estimation with Artificial Intelligence Methods by Aysu AYAR, Fatih ÜNEŞ, Bestami TAŞAR, Hakan VARÇIN

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A Dual Output Temporal Convolutional Network With Attention Architecture for Stock Price Prediction and Risk Assessment by Arindam Kishor Biswas, Md Shariful Alam Bhuiyan, Md Nazmul Hossain Mir, Ashifur Rahman, M. F. Mridha, Md Rashedul Islam, Yutaka Watanobe

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Impact of postoperative depression and immune-inflammatory biomarkers on the prognosis of patients with esophageal cancer receiving minimally invasive esophagectomy: a retrospectiv... by Pei-xin Tan, Lin-xin Wu, Shuang Ma, Shi-jing Wei, Tai-hang Wang, Bing-chen Wang, Bing-bing Fu, Jia-shuo Yang, Qing Zhao, Qing Zhao, Li Sun, Yi Liu, Tao Yan

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Text Mining to Understand Disease-Causing Gene Variants by Leena Nezamuldeen, Mohsin Saleet Jafri

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Customization of health insurance premiums using machine learning and explainable AI by Manohar Kapse, Vinod Sharma, Rutuj Vidhale, Varun Vellanki

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Optimizing predictive accuracy of the two-component repair model for pediatric TBI: Pediatric-specific parameters, toxicity endpoint harmonization, and dose-rate safeguards by Ruijie Meng

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Feasible Time Evolution Model That Predicts Breakdown in Thin SiO2 Films within Unstressed Interval after Constant-Current Stress by Yasuhisa Omura

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Use of Artificial Intelligence–Generated Synthetic Data to Augment and Enhance the Performance of Clinical Prediction Models in Patients With Alcohol-Associated Hepatitis and Acute... by Joseph C. Ahn, Yung-Kyun Noh, Mingzhao Hu, Xiaotong Shen, Vijay H. Shah, Patrick S. Kamath

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Exploring Factors Influencing Speeding on Rural Roads: A Multivariable Approach by Marija Ferko, Ali Pirdavani, Dario Babić, Darko Babić

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Scarf Adhesive Bonding of 3D-Printed Polymer Structures by Tiago F. R. Ribeiro, Raul D. S. G. Campilho, Ricardo F. R. Pinto, Ricardo J. B. Rocha

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Two-Stage Global Biomass Pyrolysis Model for Combustion Applications: Predicting Product Composition with a Focus on Kinetics, Energy, and Mass Balances Consistency by Germán Navarrete Cereijo, Pedro Galione Klot, Pedro Curto-Risso

“…Secondly, kinetic parameters for primary and secondary reactions are determined following a Shafizadeh and Chin scheme but with a modified Arrhenius form dependent on <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>T</mi><mi>n</mi></msup></semantics></math></inline-formula>, significantly enhancing the accuracy of product composition prediction. …”
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A comparison between S-N Logistic and Kohout-Věchet formulations applied to the fatigue data of old metallic bridges materials by Joelton Fonseca Barbosa, José A.F.O. Correia, Pedro Montenegro, Raimundo Carlos Silverio Freire Júnior, Grzegorz Lesiuk, Abílio M.P. De Jesus, Rui A.B. Calçada

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Evaluating AUC estimators across complex sampling designs: insights from COVID-19 patient data by Amaia Iparragirre, José María Quintana-López, Irantzu Barrio

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Modelling of Hybrid Materials and Interface Defects through Homogenization Approach for the Prediction of Effective Thermal Conductivity of FRP Composites Using Finite Element Meth... by C. Mahesh, K. Govindarajulu, V. Balakrishna Murthy

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Tangible 3D-printed educational aids: enhancing conceptual understanding of circuit construction fundamentals by Yuwei Chen, Nat Ku, Bonnie Lin, Jonathan Sun, Andrew Wang, Jin Kim Montclare

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Harnessing artificial intelligence for predicting breast cancer recurrence: a systematic review of clinical and imaging data by Jaqueline Alvarenga Silveira, Alexandre Ray da Silva, Mariana Zuliani Theodoro de Lima

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