Ensemble learning-based predictor for driver synonymous mutation with sequence representation. by Chuanmei Bi, Yong Shi, Junfeng Xia, Zhen Liang, Zhiqiang Wu, Kai Xu, Na Cheng

“…EPEL is designed with flexibility, allowing users to retrain the prediction model and generate effect scores for synonymous mutations in human cancers. …”
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Measuring Spatial Expansion of Tehran Metropolis and its Impact on Environmental Changes by Asghar Teymouri, Jamileh Tavakolinia, Abolfazl Meshkini

“…The results of the Markov Chain Model prediction of the probability of land use changes and land cover up to 1405 also indicate that land use and land cover changes will continue in favor of constructed lands. …”
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Persistence of Soil Enthalpy Drives the Winter and Summer Climate Connection in the Tibetan Plateau by Zouxing Lin, Zhiyan Zuo, Renhe Zhang, Dong Xiao, Qinglong You, Liang Qiao

“…Abstract Although some outcomes have been reported, our knowledge of the Tibetan Plateau (TP) climate and its prediction remains unclear due to land surface complexity and observational uncertainty. …”
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Experimental Accuracy and Stability of Gas Outburst Experimental System by Yanbao Liu, Haitao Sun, Bo Wang, Linchao Dai, Jie Cao

“…At present, the gas-rock coupling change mechanism and intensity prediction of gas outburst are not clear. The research of gas outburst simulation experiment is particularly important. …”
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Field Observations During the Tenth Microwave Water and Energy Balance Experiment (MicroWEX-10): from March 1, 2011 through January 5, 2012 by Tara Bongiovanni, Pang-Wei Liu, Karthik Nagarajan, Daniel Preston, Patrick Rush, Xueyang Duan, Guanbo Chen, Robert Terwilleger, Alejandro Monsivais-Huertero, Roger De Roo, Jasmeet Judge, Ruzbeh Akbar, Mary Morris, Olivia Williams, Lindsey Marks, Courtnay Cardozo, Mahta Moghaddam, Anthony England

“… For accurate weather prediction, accurate modeling of surface hydrological processes is very important. …”
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Established Digital Model of Fruit Body Growth of Agrocybe cylindracea Based on Network Programming by Long Wang, Lingli Li, Qingping Zhou

“…Crop growth models, as one of their core components, can dynamically simulate the crop growth and development process and its relationship with climate factors, soil properties, and management techniques, thus effectively overcoming the strong spatial and temporal limitations in traditional agricultural production management research and providing quantitative tools for early warning and effect assessment of crop productivity prediction under different conditions. This study focuses on the general technical approach, the latest research progress, and future development thinking developed by the authors in the construction and application of the tea mushroom growth model. …”
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Wave Attenuation and Dispersion in a 6 mm Diameter Viscoelastic Split Hopkinson Pressure Bar and Its Correction Method by Haotian Zhang, Linjian Ma, Zongmu Luo, Ning Zhang

“…A feasible method by waveform prediction was proposed to verify the validity and applicability of the propagation coefficient. …”
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Using Simplified Models to Assist Fault Detection and Diagnosis in Large Hydrogenerators by Geraldo Carvalho Brito Junior, Roberto Dalledone Machado, Anselmo Chaves Neto

“…These changes prevent the accurate determination of bearing dynamic coefficients and make the prediction of these machines dynamic behavior unfeasible, even using refined models. …”
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Shield-Roof Interaction in Longwall Panels: Insights from Field Data and Their Application to Ground Control by Jingyi Cheng, Zhijun Wan, Yinlin Ji

“…Finally, we propose the research prospects on shield-roof interaction in longwall panels to achieve a more reasonable determination of shield capacity, prediction of roof fall and coal wall spalling, and self-adaptive control of the shield.…”
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Modelling Groundwater Flow and Contaminant Migration in Heterogeneous Fractured Media at a Municipal Solid Waste Landfill in Nanjing Lishui, China by Xiaochang Sun, Yin Jiang, Yong Huang, Yue Su, Kehan Miao

“…Taking the environmental restoration and groundwater protection of the Lishui domestic waste landfill in Nanjing as the background, the groundwater environmental impact assessment and prediction are conducted for the groundwater environmental pollution that may be caused by the leakage of the landfill leachate after the closure of the domestic waste landfill. …”
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Job Shop Scheduling Based on Digital Twin Technology: A Survey and an Intelligent Platform by Haifei Yu, Songjian Han, Dongsheng Yang, Zhiyong Wang, Wei Feng

“…Meanwhile, based on the prediction and diagnosis of multisource dynamic interference in the workshop production process by big data analysis technology, the corresponding interference strategy is formulated in advance by the scheduling cloud platform. …”
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A Structural Bioinformatics-Guided Study of Adenosine Triphosphate-Binding Cassette (ABC) Transporters and Their Substrates by Iqra Younus, Robert C. Ford, Stephen M. Prince

“…In this study, four ABC transporters were chosen based on (I) their importance in humans and (II) their score in a structural bioinformatics screen aimed at the prediction of crystallisation propensity. The top-scoring ABC transporters’ orthologs (<i>Mus musculus</i>—mouse ABCB5, <i>Ailuropoda melanoleuca</i>—giant panda ABCB6, <i>Myotis lucifugus</i>—little brown bat ABCG1 and <i>Mus musculus</i> ABCG4) were then expressed in <i>Saccharomyces cerevisiae</i> with a combined green fluorescent protein and polyhistidine tag, enabling visualisation and purification. …”
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Validation of Modified ART Mod 2 Code through Comparison with Aerosol Deposition of Cesium Compound in Phébus FPT3 Containment Vessel by Wasin Vechgama, Kampanart Silva, Somboon Rassame

“…It is found that aerosol deposition using modified ART Mod 2 agrees with Phébus FPT3. Prediction of Brownian diffusion is significantly improved due to the consideration of turbulent damping process. …”
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Transformer-Driven Inverse Learning for AI-Powered Ceramic Material Innovation With Advanced Data Preprocessing by Murad Ali Khan, Syed Shehryar Ali Naqvi, Muhammad Faseeh, Do-Hyeun Kim

“…The study highlights the potential of AI-driven methodologies to significantly improve prediction accuracy in material discovery, offering valuable insights for developing future ceramic materials.…”
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Operational strategies to the mechanical performance assessment of concrete with the neural network and artificial intelligence by Hadi Faghihmaleki, Mehdi Ghadiri

“…Purpose: This study was conducted to predicte the resistance properties of concrete with different types of neural networks. …”
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Experimental Study on Strain Penetration Effects in Fixed-End Rotation of RC Beam-Column Connections with High-Strength Reinforcement by Ling Li, Wenzhong Zheng, Ying Wang, Junke Ma

“…The prediction shows good agreement with the experimental results.…”
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Blade Deterioration in a Gas Turbine Engine by W. Tabakoff, A. Hamed, V. Shanov

“…A study has been conducted to predict blade erosion of gas turbine engines. The blade material erosion model is based on three dimensional particle trajectory simulation in the three-dimensional turbine flow field. …”
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Analyzing Difficulty Index of Ekadanta English Section Multiple Choice by Dara Yusnida, Nour Ayouni

“…This study tries to shed light on the index of difficulty index found in a set of prediction test in Ekadanta tutoring book. This study employed descriptive qualitative approach. …”
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EVALUATION OF ASSISTANCE TOOLS FOR DIAGNOSIS OF DISEASES BY APPROACHING TO PERSONALIZED MEDICINE ON METAGENOMIC DATA by Phan Tấn Tài, Tạ Đặng Vĩnh Phúc, Phan Nguyễn Minh Thảo, Nguyễn Thị Ngọc Chăm, Đào Công Tính, Phạm Huỳnh Ngọc, Nguyễn Thanh Hải

“…From these studies, we may develop extensive and in-depth studies from previous studies to explore the important effect of the microbial ecosystem that is a rich set of microbial features for prediction and biomarker discovery in the human body. …”
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Multimodal data integration in early-stage breast cancer by Arnau Llinas-Bertran, Maria Butjosa-Espín, Vittoria Barberi, Jose A. Seoane

“…However, existing knowledge does not fully encompass the diverse nature of breast cancer, particularly in triple-negative tumors.The integration of multi-omics and multimodal data has the potential to provide new insights into biological processes, to improve breast cancer patient stratification, enhance prognosis and response prediction, and identify new biomarkers.This review presents a comprehensive overview of the state-of-the-art multimodal (including molecular and image) data integration algorithms developed and with applicability to breast cancer stratification, prognosis, or biomarker identification. …”
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