A New Approach for Accurate Prediction of Liquid Loading of Directional Gas Wells in Transition Flow or Turbulent Flow by Ruiqing Ming, Huiqun He

“…So we built a new model to predict continuous liquid-carrying critical gas velocity for directional well in transition flow or turbulent flow. …”
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A Prediction Model for Prediabetes Risk in Middle-Aged and Elderly Populations: A Prospective Cohort Study in China by Jiahua Wu, Jiaqiang Zhou, Xueyao Yin, Yixin Chen, Xihua Lin, Zhiye Xu, Hong Li

“…To investigate indicators for prediabetes risk and construct a prediction model for prediabetes incidences in China. …”
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Parallel LSTM-Based Regional Integrated Energy System Multienergy Source-Load Information Interactive Energy Prediction by Bo Wang, Liming Zhang, Hengrui Ma, Hongxia Wang, Shaohua Wan

“…Finally, uncertain resources composed of wind power, photovoltaic, and various loads on both sides of source and load integrated energy prediction are achieved. The simulation results of the measured data show that the interactive parallel prediction method proposed in this article can effectively improve the prediction effect of each subtask.…”
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In-Hospital Peak Glycemia in Predicting No-Reflow Phenomenon in Diabetic Patients with STEMI Treated with Primary Percutaneous Coronary Intervention by Fang Liu, Rui Huang, Ya Li, Surui Zhao, Yue Gong, Zesheng Xu

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The Significance of Eosinophil-to-Lymphocyte Ratio in Predicting Response to Omalizumab Treatment in Patients with Bullous Pemphigoid: A Case Series by Gülfem Akin, Ceylan Avci, Sevgi Akarsu

“…Studies with larger sample sizes should be done to predict the role of type 2 immunity markers in omalizumab therapy of BP patients.…”
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Dual modality feature fused neural network integrating binding site information for drug target affinity prediction by Haohuai He, Guanxing Chen, Zhenchao Tang, Calvin Yu-Chian Chen

“…Abstract Accurately predicting binding affinities between drugs and targets is crucial for drug discovery but remains challenging due to the complexity of modeling interactions between small drug and large targets. …”
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Synthesis, antimicrobial evaluation, ADMET prediction, molecular docking and dynamics studies of pyridine and thiophene moiety-containing chalcones by Fahmida Akhter, Sumita Saznin Marufa, S. M. Anyet Ullah Shohag, Hiroshi Nishino, Mohammad Sayed Alam, Md. Aminul Haque, Mohammad Mostafizur Rahman

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Correlation between the Compressive, Tensile Strength of Old Concrete under Marine Environment and Prediction of Long-Term Strength by Weilai Yao, Shiyong Jiang, Wei Fei, Tao Cai

“…Based on statistical theory and the experimental result of this study, a method for predicting long-term tensile strength of concrete is developed and an example is given, which may provide a potential way to estimate long-term concrete strength under real marine environment.…”
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The Predictive Effect of Health Examination in the Incidence of Diabetes Mellitus in Chinese Adults: A Population-Based Cohort Study by Xiaomin Fu, Yingmin Jia, Jing Liu, Qinghua Lei, Lele Li, Nan Li, Yanyan Hu, Shanshan Wang, Hongzhou Liu, Shuangtong Yan

“…We aimed to find the predictive effect of health examination on DM. Methods. …”
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Impacts of Microphysics Schemes and Topography on the Prediction of the Heavy Rainfall in Western Myanmar Associated with Tropical Cyclone ROANU (2016) by Khin Win Maw, Jinzhong Min

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A Numerical Model to Predict the Anisotropy of Polymer Composites Reinforced with High-Aspect-Ratio Short Aramid Fibers by Jianhong Gao, Xiaoxiang Yang, Lihong Huang

“…Some fiber types have a high aspect ratio and it is very difficult to predict their composites using traditional finite element (FE) modeling. …”
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Predicting the Elastic Modulus of Nanoparticle-Reinforced Polymer Matrix Composites Based on Digital Image Processing and Finite Elements by Zhenghong Jiang, Chunrong Zhou

“…The aim of this paper is to predict the elastic modulus of nanoparticle-reinforced polymer matrix composites based on digital image processing and finite elements and to investigate the presence of interfaces in three-phase particle-reinforced composites. …”
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The Implementation of a Support Vector Regression Model Utilizing Meta-Heuristic Algorithms for Predicting Undrained Shear Strength by Rami Al-Qasimi, Firas Al-Hajri

“…These results demonstrate the superiority of the SVNG model in providing precise and efficient predictions of USS, surpassing conventional methods.…”
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Discrimination and calibration performances of non-laboratory-based and laboratory-based cardiovascular risk predictions: a systematic review by Yihun Mulugeta Alemu, Sisay Mulugeta Alemu, Dan Chateau, Nasser Bagheri, Kinley Wangdi

“…Background and objective This review compares non-laboratory-based and laboratory-based cardiovascular disease (CVD) risk prediction equations in populations targeted for primary prevention.Design Systematic review.Methods We searched five databases until 12 March 2024 and used prediction study risk of bias assessment tool to assess bias. …”
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Application of the Artificial Neural Network and Support Vector Machines in Forest Fire Prediction in the Guangxi Autonomous Region, China by Yudong Li, Zhongke Feng, Shilin Chen, Ziyu Zhao, Fengge Wang

“…The study of forest fire prediction is of great environmental and scientific significance. …”
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Hematological Factors and MRI in Covid-19 Infected may Predict the Prevalence of Multiple Sclerosis in the Post-Covid era by Bakhtiar Ebrahimirad, Mahnaz Taherianfard, Arash Mosarezaii

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Prediction of Systemic Risk Contagion Based on a Dynamic Complex Network Model Using Machine Learning Algorithm by Jiannan Yu, Jinlou Zhao

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Facial masks and soft‐biometrics: Leveraging face recognition CNNs for age and gender prediction on mobile ocular images by Fernando Alonso‐Fernandez, Kevin Hernandez‐Diaz, Silvia Ramis, Francisco J. Perales, Josef Bigun

“…Since datasets for soft‐biometrics prediction using selfie images are limited, we counteract over‐fitting by using networks pre‐trained on ImageNet. …”
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Lung Function in Preteenaged Canadian School Children: Comparison with Two Standard Prediction Equations and Examination of the Effect of Weight by Judith A Leech, Sheryl Bartlett, Michael Walker, Mark Raizenne

“…OBJECTIVES: To compare prediction curves for forced vital capacity (FVC) in children from a large population sample with the standard prediction curves currently in clinical use. …”
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Comparison of time-to-event machine learning models in predicting biliary complication and mortality rate in liver transplant patients by Aref Andishgar, Sina Bazmi, Kamran B. Lankarani, Seyed Alireza Taghavi, Mohammad Hadi Imanieh, Gholamreza Sivandzadeh, Samira Saeian, Nazanin Dadashpour, Alireza Shamsaeefar, Mahdi Ravankhah, Hamed Nikoupour Deylami, Reza Tabrizi, Mohammad Hossein Imanieh

“…RSF with Ridge achieved the highest performance (C-index: 0.699) for BC prediction, while RSF with RSF had the highest performance (C-index: 0.784) for mortality prediction. …”
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