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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Flood Hazard Assessment Using Weather Radar Data in Athens, Greece by Apollon Bournas, Evangelos Baltas

“…This study highlights the significance of incorporating radar precipitation and real-time soil moisture assessments to improve flood prediction accuracy and provide valuable flood risk assessments.…”
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Analysis on the Variation Characteristics of Rainstorm and Cause of Flood in Central Yunnan — Take Downtown of Yuxi City as an Example by ZHU Wenxiang

“…Taking the downtown of Yuxi as an example,based on the maximum 1h and 24h rainstorm data of Dongfeng station from 1981 to 2019,this paper studies the variation characteristics of short-duration rainstorm in central Yunnan by the linear moving average,Mann-Kendall test and Hurst index,analyzes the causes of urban flood and puts forward countermeasures and suggestions.The results show that:The annual maximum 1 h and 24 h precipitation in downtown of Yuxi presented an insignificant fluctuation and rising trend,with the change rate of 1.4 mm/10a and 0.6 mm/10a respectively.The Hurst index of maximum 1 h and 24 h precipitation over the years is 0.57 and 0.56 respectively,which is consistent with the trend of future changes and relatively weak in continuity.The maximum 1 h precipitation sequence of the Dongfeng station changed suddenly in 1987,2002,2007 and 2013,while the maximum 24 h precipitation sequence changed suddenly in 2000,2009 and 2013.The annual maximum 1 h and 24 h precipitation mostly occurred in August and June,with a high concentration of rainstorm.The average P_1h/P_24h of the same rainstorm was 47.2%,and the largest proportion was 71.4%.Based on the causes of flood,it is suggested to regulate the river system,improve the pipe network,build new rain and sewage pipe network,construct the sponge city at all areas,and establish a scientific hydrological monitoring system and prediction and early warning platform for urban flood control and drainage.…”
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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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The role of the cryosphere for runoff in a highly glacierised alpine catchment, an approach with a coupled model and in situ data by Astrid Lambrecht, Christoph Mayer

“…Runoff from heavily glacierised catchments, its seasonality and the contribution from different storage units are highly relevant for assessing the seasonal and long-term water supply and flood prediction. Modelling studies on runoff from such basins often use simulated meteorological input (e.g. downscaling products) based on remote observations. …”
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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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Attention‐Based Machine Vision Models and Techniques for Solar Wind Speed Forecasting Using Solar EUV Images by Edward J. E. Brown, Filip Svoboda, Nigel P. Meredith, Nicholas Lane, Richard B. Horne

“…At a 4 day time horizon, this study uses attention‐based models and a set of methodological improvements to deliver an 11.1% lower RMSE and a 17.4% higher prediction correlation compared to the previous work testing on the period from 2010 to 2018. …”
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Fault tolerance in distributed systems using deep learning approaches. by Basem Assiri, Abdullah Sheneamer

“…In addition, deep learning model enables processing data to find patterns, which helps in classification, regression, prediction, and clustering. This work employs deep learning to handle faults within distributed systems in three scenarios. …”
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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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Real‐Time Thermospheric Density Estimation via Radar and GPS Tracking Data Assimilation by David J. Gondelach, Richard Linares

“…For objects in Low Earth orbit, orbit determination and prediction require accurate estimates of the local thermospheric density. …”
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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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An Analytical Solution for the Vibration and Far-Field Sound Radiation Analysis of Finite, Semisubmerged Cylindrical Shells by Wenjie Guo, Zhou Yang, Yueyang Han

“…Besides, in consideration of simplicity and less computation effort, the present method can be used for the rapid prediction of the vibration and far-field sound pressure of a semisubmerged cylindrical shell with low-frequency excitation.…”
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On the assessment and reliability of political and ideological education in colleges using deep learning methods by Yongsheng Ma, Xianhui Sun, Aiqun Ma

“…This study focuses on predicting assessment scores to evaluate student performance, identify areas of vulnerability, and implement targeted interventions. …”
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