Migration Simulation of Radioactive Soil Particles in the Atmospheric Environment Using CFD-DEM Coupled with Empirical Formulas by Liwei Chen, Chunhua Chen, Qingchun Fan, Zihui Yang, Zihao Zheng, Jianye Wang

“…Radioactive particle migration from the soil surface is an unignorable factor for the radioactive material distribution prediction after a nuclear accident, especially for the decision support of radioactive disposal. …”
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Spatial Dynamics and Risk Mapping of Forest Fires in Madhesh Province, Nepal: A Multi-Criteria Decision Approach by Gunjan Adhikari, Khagendra Prasad Joshi, Dristee Chad, Ashish Ghimire, Sandeep Mahara

“…The validity of the prediction map was confirmed with an AUC value of 0.798. …”
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Analytical evaluation of shear link capacity in EBF: Beam-truss action analogy by Abdullah Alghossoon, Suhib Almarashdeh, Muhannad Alasiri, Ahmad Tarawneh

“…This study introduces a simple analogical method to predict the ultimate shear-link strength of the eccentrically braced steel frame (EBF) system. …”
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Lost circulation intensity characterization in drilling operations: Leveraging machine learning and well log data by Ahmad Azadivash

“…These models attained the most robust results on both key performance metrics and, hence, can predict the intensity of lost circulation quite well. …”
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Dynamic Modeling of Stress-Induced Defect Expansion in VCSELs by Yuqi Zhang, Xun Li, Jia Zhao

“…This model finds relevance in applications such as random failure prediction through device aging, burn-in condition setting in device screening, and device structural and/or material design improvement for mitigating defect expansion.…”
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Fusion ConvLSTM-Net: Using Spatiotemporal Features to Increase Residential Load Forecast Horizon by Abhishu Oza, Dhaval K. Patel, Bryan J. Ranger

“…Our extensive experiments demonstrate that the Fusion ConvLSTM-Net not only extends the forecast window to 24 hours but also reduces the prediction error rate by approximately 47% compared to the next best model, improves the accuracy of aggregate load forecasts, and prevents model degradation.…”
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Improved Extended Multiplicative Scatter Correction Algorithm Applied in Blood Glucose Noninvasive Measurement with FT-IR Spectroscopy by Qingbo Li, Qishuo Gao, Guangjun Zhang

“…Experimental results show that the prediction accuracy has been greatly improved with Im-EMSC method, which is helpful for human noninvasive glucose concentration detection technology.…”
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Design of Epitope-Based Peptide Vaccine against Pseudomonas aeruginosa Fructose Bisphosphate Aldolase Protein Using Immunoinformatics by Mustafa Elhag, Ruaa Mohamed Alaagib, Nagla Mohamed Ahmed, Mustafa Abubaker, Esraa Musa Haroun, Sahar Obi Abd Albagi, Mohammed A. Hassan

“…The protein sequences were obtained from NCBI, and prediction tests were undertaken to analyze possible epitopes for B and T cells. …”
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Deformation Monitoring Model of Buried Pipeline Mechanical Parts Based on the Distributed Optical Fiber Monitoring System by Bihua Shen, Xiangchao Wang, Mengya Sun, Wei Qian

“…This test realized the multiparameter monitoring of pipeline deformation, pipeline displacement, and soil pressure along the pipeline, thereby providing a theoretical basis for developing prediction and warning systems for buried pipelines.…”
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Urinary BA Indices as Prognostic Biomarkers for Complications Associated with Liver Diseases by Wenkuan Li, Jawaher Abdullah Alamoudi, Nagsen Gautam, Devendra Kumar, Macro Olivera, Yeongjin Gwon, Sandeep Mukgerjee, Yazen Alnouti

“…The urinary BA profile and non-BA parameters were monitored, and logistic regression models were used to predict the prognosis of hepatobiliary disease-related complications. …”
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Comparison of Feature Selection and Feature Extraction Role in Dimensionality Reduction of Big Data by Haidar Khalid Malik, Nashaat Jasim Al-Anber, Fuad AbdoEsmail Al- Mekhlafi

“…We applied many classifiers like (Support vector machines, k-nearest neighbors, Decision tree, and Naive Bayes ) to the data of the anthropometric survey of US Army personnel (ANSUR 2) to classify the data and test the relevance of features by predicting a specific feature in USA Army personnel results showing that (k-nearest neighbors) achieved high accuracy (83%) in prediction, then reducing the dimensions by several techniques like (Highly Correlated Filter, Recursive  Feature Elimination, and principal components Analysis) results showing that (Recursive  Feature Elimination) have the best accuracy by (66%), From these results, it is clear that the efficiency of dimension reduction techniques varies according to the nature of the data. …”
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Screening of SIRT2 inhibitors from natural product databases using computer-aided drug design and molecular dynamics simulation by Tianyi Liu, Hongli Yin, Xue Dong, Qingyang Hu, Xuejiao Hu, Wenxin Yan, Huanhuan Wang, Zhong Li

“…A comprehensive computer-aided drug design platform has been successfully established by integrating various techniques such as drug-likeness screening, pharmacokinetic prediction, molecular docking, and molecular dynamics simulation. …”
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An Embodied Intelligence System for Coal Mine Safety Assessment Based on Multi-Level Large Language Models by Yi Sun, Faxiu Ji

“…By leveraging the tool invocation and reasoning capabilities of LLM in conjunction with a coal mine safety knowledge base, the system achieves logical inference, anomalous data detection, and potential safety risk prediction. Furthermore, its memory functionality ensures the learning and utilization of historical experiences, providing a solid foundation for continuous assessment processes. …”
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An Improved Car-Following Speed Model considering Speed of the Lead Vehicle, Vehicle Spacing, and Driver’s Sensitivity to Them by Shuaiyang Jiao, Shengrui Zhang, Zongzhi Li, Bei Zhou, Dan Zhao

“…Compared with speed prediction results of the benchmark models, mean relative errors, root mean square errors, and equal coefficient of speed predictions of the CFS model have reduced by 72.41% and 61.85%, 70.14% and 57.99%, and 33.15% and 14.48%, respectively. …”
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The construction of intelligent nursing and healthcare management platform (智能化健康护理管理平台建设探索) by ZHANG Yuhong (张育红), ZHANG Yuxia (张玉侠)

“…By using cloud computing and artificial intelligence technology, the intelligent health care management platform aims to establish health care decision-making models, such as evaluation, prediction and intervention, and provide personalized health management services. …”
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Cerebral Arterial Stenosis Detection Based on a Retained Two-Stage Detection Algorithm by Hanqing Liu, Xiaojun Li, Jin Wei, Xiaodong Kang

“…A cascade detector refined object classification and bounding box regression before prediction. The experimental results show that the retained algorithm increases mAP by 7.3% and 7.5%, respectively, compared with Faster R-CNN and Libra R-CNN. …”
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Coupled Analysis of Thermofluid-Structure Field for Thermal Properties of Early-Age Concrete Influenced by Electric Heating System by Lin Liu, Yue Zhao, Jianyong Han, Cheng Cheng, Chaozhe Zhang

“…This, in turn, affects the accuracy of the prediction and calculation of concrete deformation. …”
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Poorly Differentiated Thyroid Carcinoma Arising in Struma Ovarii by Surapan Khunamornpong, Jongkolnee Settakorn, Kornkanok Sukpan, Prapaporn Suprasert, Sumalee Siriaunkgul

“…The histologic features of ovarian strumal lesions sometimes cause diagnostic problems due to the confusion with other types of ovarian neoplasms and the difficulty in the prediction of their clinical behavior. We report an extremely rare case of poorly differentiated thyroid carcinoma arising in struma ovarii. …”
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Early Detection of Baby-Rain-Cell Aloft in a Severe Storm and Risk Projection for Urban Flash Flood by Eiichi Nakakita, Hiroto Sato, Ryuta Nishiwaki, Hiroyuki Yamabe, Kosei Yamaguchi

“…Also, we found a vertical vorticity criterion for identifying hazardous rain-cells and developed a heavy rainfall prediction system that has the important feature of not missing any hazardous rain-cell. …”
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Design optimization of pangolin inspired composites for enhanced energy absorption by Iman Karami Fath, Abbas Niknejad, Hadi Zare-Zardini

“…The Taguchi method set the optimal values for the parameter levels for the prediction of TAE of 11.2431 J and SAE of 2.3677 J/g, while the actual experimental result brought the percentage of error to 5.76% for TAE and 3.94% for SAE. …”
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