Recommendation model based on separated embedding interaction networks by FENG Shulei, JIANG Zhongyun

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Development and recalibration of a multivariable type 1 diabetes prediction model for type 1 diabetes across multiple screening studies by Erin L. Templeman, Lauric A. Ferrat, Hemang M. Parikh, Lu You, Taylor M. Triolo, Andrea K. Steck, William A. Hagopian, Kendra Vehik, Suna Onengut-Gumuscu, Peter A. Gottlieb, Stephen S. Rich, Jeffery P. Krischer, Maria J. Redondo, Richard A. Oram, the Type 1 diabetes TrialNet Study Group

“…A web calculator was developed to visualise individual risk estimates ( https://t1dpredictor.diabetesgenes.org ). Conclusions A stratified model incorporating the type 1 diabetes genetic risk score, family history, age, and autoantibody status can predict type 1 diabetes risk with improved accuracy, but may need recalibration depending on the screening strategy.…”
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Machine learning modeling based on informer for predicting complex unsteady flow fields to reduce consumption of computational fluid dynamics simulation by Mingkun Fang, Fangfang Zhang, Di Zhu, Ruofu Xiao, Ran Tao

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Spatio-Temporal Predictive Learning Using Crossover Attention for Communications and Networking Applications by Ke He, Thang Xuan Vu, Lisheng Fan, Symeon Chatzinotas, Bjorn Ottersten

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Development and Validation of Models to Predict Cesarean Delivery among Low-Risk Nulliparous Women at Term: A Retrospective Study in China by Fangcan Sun, Fangfang Wu, Huiyun Chen, Qianqian Shen, Youguo Chen, Minhong Shen, Bing Han

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Postpartum Haemorrhage Risk Prediction Model Developed by Machine Learning Algorithms: A Single-Centre Retrospective Analysis of Clinical Data by Wenhuan Wang, Chanchan Liao, Hongping Zhang, Yanjun Hu

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Enhancing environmental monitoring of harmful algal blooms with ConvLSTM image prediction by Sung Jae Kim, Yongbok Cho

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Exploration and reflection on empowering undergraduate practical education of orthodontics through WeChat public accounts by DUAN Peipei, YU Xinle, WANG Yunshi, HAN Xianglong

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Reform and innovation of physical education teaching methods in universities based on fuzzy decision support systems by Zhaojin Zhong, Wenzhi Guo, Regina Nacional

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Shifting Landscape of Rural Transformation in Bangladesh: Exploring the Interplay of Non‐Farm GDP, Infrastructure and Education by Subrata Saha, Mohammad Jahangir Alam, Al Amin Al Abbasi, Ismat Ara Begum, Maria Fay Rola‐Rubzen

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Contextual ITSM Adoption Across Educational Levels: A University and a Secondary School in Jakarta by Marcel Marcel, Nur Chalik Azhar

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Dual-Vector Model Predictive Current Control with Entire-Time-Domain Current Harmonic Optimization and Robust Control Strategy by Dahui Guo, Jian Yang, Hanbin Zhou, Qian Huang, Mi Dong, Liqing Liao

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Evaluating Prediction Performance: A Simulation Study Comparing Penalized and Classical Variable Selection Methods in Low-Dimensional Data by Edwin Kipruto, Willi Sauerbrei

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Integrating Model Predictive Control With Stormwater System Design: A Cost‐Effective Method of Urban Flood Risk Mitigation During Heavy Rainfall by Lanxin Sun, Jun Xia, Dunxian She

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Predicting Short-Range Weather in Tropical Regions Using Random Forest Classifier by Sellappan Palaniappan, Rajasvaran Logeswaran, Anitha Velayutham, Bui Ngoc Dung

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HERGAI: an artificial intelligence tool for structure-based prediction of hERG inhibitors by Viet-Khoa Tran-Nguyen, Ulrick Fineddie Randriharimanamizara, Olivier Taboureau

“…It also demonstrated superior screening power compared to virtual screening schemes that used existing scoring functions. This model, named “HERGAI,” along with relevant input/output data and user-friendly source code, is available in our GitHub repository ( https://github.com/vktrannguyen/HERGAI ) and can be used to predict drug-induced hERG blockade, even on large data sets.…”
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Interactive cardiovascular disease prediction system using learning techniques: Insights from extensive experiments by Purnima Pal, Harsh Vikram Singh, Veena Grover, R. Manikandan, Rasoul Karimi, Mohammad Khishe

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A Machine Learning‐Based Approach to Quantify ENSO Sources of Predictability by Ioana Colfescu, Hannah Christensen, David John Gagne

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An Empirical Correlation to Predict the Ignition Delay Time for Some Hydrocarbon Fuels by F. S. Shariatmadar, Sh. Ghanbari Pakdehi, M. A. Zarei

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Study of the slant fracture in solid and hollow cylinders: Experimental analysis and numerical prediction by N. Ben Chabane, N. Aguechari, M. Ould Ouali

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