A nomogram model to predict the high risk of lower live birth probability in young women undergoing the first IVF-ET cycle: a retrospective study by Chang Liu, Peipei Pan, Beihai Li, Yili Teng

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An Adaptive Variance Adjustment Strategy for a Static Background Error Covariance Matrix—Part I: Verification in the Lorenz-96 Model by Lilan Huang, Hongze Leng, Junqiang Song, Dongzi Wang, Wuxin Wang, Ruisheng Hu, Hang Cao

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Uplift modeling to determine which fluid-norepinephrine regime results in a postoperative acute kidney injury-free recovery in patients scheduled for cystectomy and urinary diversi... by Markus Huber, Marc A. Furrer, Marc A. Furrer, Marc A. Furrer, François Jardot, Patrick Y. Wuethrich

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A decomposition of Fisher’s information to inform sample size for developing or updating fair and precise clinical prediction models for individual risk—part 1: binary outcomes by Richard D. Riley, Gary S. Collins, Rebecca Whittle, Lucinda Archer, Kym I. E. Snell, Paula Dhiman, Laura Kirton, Amardeep Legha, Xiaoxuan Liu, Alastair K. Denniston, Frank E. Harrell, Laure Wynants, Glen P. Martin, Joie Ensor

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Noise Levels Due to Commercial and Leisure Activities in Urban Areas: Experimental Validation of a Numerical Model Fed with Crowd Density Estimation Using Computer Vision by Óscar Ramón-Turner, Jacob D. R. Bordón, Asunción González-Rodríguez, Javier Lorenzo-Navarro, Modesto Castrillón-Santana, Guillermo M. Álamo, Román Quevedo-Reina, Carlos Romero-Sánchez, Antonio T. Ester-Sánchez, Cristina Medina, Fidel García, Orlando Maeso, Juan J. Aznárez

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Leveraging Personalized Customer Experiences in Mobile Edge Computing Through Split Learning Using Smart Data-Driven Modeling by V. Vinoth Kumar, K. M. Karthick Raghunath, Iyappan Perumal, K. Manikandan

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“Ensembled transfer learning approach for error reduction in landslide susceptibility mapping of the data scare region” by Ankit Singh, Nitesh Dhiman, K. C. Niraj, Dericks Praise Shukla

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Substrate binding of human and bacterial type IA topoisomerase: An experimentation with AlphaFold 3.0 by Yasir Mamun, Ally Aguado, Ana Preza, Abhilasha Kadel, Anjani Mogallur, Briana Gonzalez, Jayleen De La Rosa, Daniel Diaz, Polina Evdokimova, Ukesh Karki, Yuk-Ching Tse-Dinh, Prem Chapagain

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Analysis and prediction of urban agglomeration ecological footprint based on improved three-dimensional ecological footprint and shared socioeconomic pathways by Ruirui Jiang, Liangjun Fei, Shouxuan Kang

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Morphology-based selective breeding strategy analysis for abdominal meat yield in Procambarus clarkii by Qishuai Wang, Qian Hu, Siqi Yang, Ruixue Shi, Feifei Zheng, Xiaolong Liu, Jiangfeng Huang, Yanhe Li

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Machine learning approach for revealing the nickel grade and recovery optimization in reduction process of laterite ores by Vuri Ayu Setyowati, Fakhreza Abdul

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A novel prognostic scoring system for AML patients undergoing allogeneic hematopoietic stem cell transplantation with real world validation by Qing Ya Wang, Yi Fan Han, Yu Han Li, Qing Yun Wang, Jin Ye Zhu, Yu Jun Dong, Wei Liu, Na Han, Han Yun Ren, Yuan Li

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HyPepTox-Fuse: An interpretable hybrid framework for accurate peptide toxicity prediction fusing protein language model-based embeddings with conventional descriptors by Duong Thanh Tran, Nhat Truong Pham, Nguyen Doan Hieu Nguyen, Leyi Wei, Balachandran Manavalan

“…Moreover, we conducted a case study to validate the robustness and generalizability of HyPepTox-Fuse, highlighting its effectiveness in enhancing model performance. Furthermore, the HyPepTox-Fuse server is freely accessible at https://balalab-skku.org/HyPepTox-Fuse/ and the source code is publicly available at https://github.com/cbbl-skku-org/HyPepTox-Fuse/. …”
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Evaluation and validation of extensive growth and growth boundary models for mesophilic and psychrotolerant Bacillus cereus in dairy products (Part 2) by Maryam Maktabdar, Rannvá Høgnadóttir Houmann, Nanna Hulbæk Scheel, Karoline Broskov Skytthe, Ellen Wemmenhove, Elissavet Gkogka, Paw Dalgaard

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Metabolomic profiling of plasma reveals differential disease severity markers in avian influenza A(H7N9) infection patients by Yuefeng Wang, Jili Ni, Mingzhu Huang, Wenxin Qu, Chang Liu, Zheying Mao, Jiaqi Bao, Weizhen Chen, Dongsheng Han, Fei Yu, Yifei Shen, Zhenzhen Deng, Shufa Zheng

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Predicting the Epidemiological Effects in the United Kingdom of Moving from PCV13 to PCV15 in the Routine Pediatric 1 + 1 Vaccination Schedule by Rachel J. Oidtman, Natalie Banniettis, Jessica Weaver, Ian R. Matthews, Dionysios Ntais, Giulio Meleleo, Tufail M. Malik, John C. Lang, Oluwaseun Sharomi

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Derivation and Validation of Prediction Models for Prolonged Length of Stay and 30-Day Readmission in Elderly Patients With Type 2 Diabetes Mellitus: A Multicenter Study by Juntao Tan, Yuxin He, Zhengyu Zhang, Jiaxiu Liu, Jinglong Du, Wenlong Zhao, Yanbing Liu

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HCDRNN-NMPC: A New Approach to Design Nonlinear Model Predictive Control (NMPC) Based on the Hyper Chaotic Diagonal Recurrent Neural Network (HCDRNN) by Samira Johari, Mahdi Yaghoobi, Hamid R. Kobravi

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An Analysis of a Severe Turbulence Event Encountered by an Aircraft over the South China Sea and the Application of Numerical Weather Prediction Models in the Early Alerting of the... by P. W. Chan, W. K. Wong

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An application of deep learning model InceptionTime to predict nausea, vomiting, diarrhoea, and constipation using the gastro-intestinal pacemaker activity drug database (GIPADD) by Hephaes Chuen Chau, Julia Yuen Hang Liu, John Anthony Rudd

“…This study used a state-of-the-art deep-learning model with time-series classification to explore the feasibility of using raw electrophysiological recordings from tissues to predict ADRs. …”
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