Dynamic Response and Time-Frequency Characteristic of Dangerous Rocks under the Combined Action of Rock Cavity Weathering and Earthquake by Qingyang Ren, Honghua Jin, Xiaokun Ren, Xingxing Zhang

“…The research results have important scientific guiding significance and practical value for the dynamic stability evaluation and prediction of such steep slope of dangerous rocks under the combined action of rock cavity weathering and earthquake.…”
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Field Observations during the Eleventh Microwave Water and Energy Balance Experiment (MicroWEX-11): from April 25, 2012, through December 6, 2012 by Tara Bongiovanni, Pang-Wei Liu, Karthik Nagarajan, Daniel Preston, Patrick Rush, Tim H.M. van Emmerik, Robert Terwilleger, Alejandro Monsivais-Huertero, Jasmeet Judge, Susan Steele-Dunne, Roger De Roo, Ruzbeh Akbar, Ella Baar, Max Wallace, Anthony England

“… This new report from UF/IFAS researchers provides another set of observation data that can be used to develop better models for accurate prediction of weather and near-term climate. It describes the observations conducted during the MicroWEX-11, a season-long experiment incorporating active and passive microwave observations for bare soil, elephant grass, and sweet corn using a variety of sensors to understand land–atmosphere interactions and their effect on observed microwave signatures. …”
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Soft computing paradigm for climate change adaptation and mitigation in Iran, Pakistan, and Turkey: A systematic review by Muhammad Talha, A. Pouyan Nejadhashemi, Kieron Moller

“…Regarding thematic focus, about 33.3 % of the articles addressed water resource management, 22.2 % focused on climate prediction, 11.1 % on land and agriculture, 9 % on ecosystem modeling, and 24.2 % on natural disaster preparedness and response. …”
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Distinct vaginal microbiome and metabolome profiles in women with preterm delivery following cervical cerclage by Jun Zhang, Li Li, Mengjun Zhang, Jiaoning Fang, Zhimin Xu, Yijing Zheng, Zhi Lin, Mian Pan

“…These results elaborated that distinct vaginal microbiome and metabolome profiles in women with preterm delivery following cervical cerclage provide valuable information for establishing the prediction models for PTB.…”
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Deep learning for enhanced risk management: a novel approach to analyzing financial reports by Xiangting Shi, Yakang Zhang, Manning Yu, Lihao Zhang

“…This research brings out the Hybrid Financial Risk Predictor (HFRP) model, using the convolutional neural networks (CNN) and long-short term memory (LSTM) networks to improve financial risk prediction. A combination of quantitative and qualitative ratings derived from the analysis of financial texts results in high accuracy and stability compared with the HFRP model. …”
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Groundbreaking Technologies and the Biocontrol of Fungal Vascular Plant Pathogens by Carmen Gómez-Lama Cabanás, Jesús Mercado-Blanco

“…Furthermore, artificial intelligence and machine learning can revolutionize crop protection through early disease detection, the prediction of disease outbreaks, and precision in BCA treatments. …”
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Study on the Shock Wave Characteristics of Spherical and Cylindrical Explosives in Near-field Underwater Explosion by J. Yu, X. P. Zhang, J. Wang, Y. Hao, H. B. Mao

“…Therefore, precise prediction of shockwave loading characteristics for various charge shapes during underwater explosions is critical. …”
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Application of Cancer Genomics to Solve Unmet Clinical Needs by Se-Hoon Lee, Sung Hoon Sim, Ji-Yeon Kim, SooJin Cha, Ahnah Song

“…In this review, we present one imaginary case of a cancer patient, with which we can think about unmet clinical needs to solve with cancer genomics in the diagnosis, prediction of prognosis, monitoring the status of cancer, and personalized treatment decision.…”
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Artificial Neural Network Modeling of Abrasion Loss and Surface Roughness of Crab Carapace Impregnated Coir Vinyl Ester Composites by S. Rajamuneeswaran, S. Jayabal, N. Nagaprasad, G. Veerappan, Leta Tesfaye Jule, Ramaswamy Krishnaraj

“…The development of filler-impregnated fiber-polymer composites in recent years necessitated the evaluation and prediction of tribological behaviors in fiber reinforced composites. …”
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Application of Multiattention Mechanism in Power System Branch Parameter Identification by Zhiwei Wang, Liguo Weng, Min Lu, Jun Liu, Lingling Pan

“…Finally, the fitting and prediction of each branch feature are completed through the decoding layer. …”
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Uncertainty of Flood Forecasting Based on Radar Rainfall Data Assimilation by Xinchi Chen, Liping Zhang, Christopher James Gippel, Lijie Shan, Shaodan Chen, Wei Yang

“…The corresponding performance in flood hydrograph prediction was also better using the statistical weight integration and variational methods compared to the others. …”
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Learning with semantic ambiguity for unbiased scene graph generation by Shanjin Zhong, Yang Cao, Qiaosen Chen, Jie Gong

“…Experimental results show that our method outperforms state-of-the-art approaches on multiple scene graph generation tasks, demonstrating significant improvements in both relation prediction accuracy and the handling of imbalanced data distributions.…”
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Wind Tunnel Tests of Wind-Induced Snow Distribution for Cubes with Holes by Xintong Jiang, Zhixiang Yin, Hanbo Cui

“…Wind tunnel tests on holed cubes provided a reference for the prediction of snow load distribution of typical structures with holes.…”
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Celiac Artery Compression Syndrome: An Experience in a Single Institution in Taiwan by Jen-Wei Chou, Chih-Ming Lin, Chun-Lung Feng, Chun-Fu Ting, Ken-Sheng Cheng, Yung-Fang Chen

“…Thus, tailored therapy for patients with CACS remains a challenge as well as the prediction of clinical response and prognosis. The aim of our present study was to investigate the clinical features, the association with SMAS, treatments, and outcomes of patients with CACS in a single institution in Taiwan.…”
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Narrowing the gap between machine learning scoring functions and free energy perturbation using augmented data by Ísak Valsson, Matthew T. Warren, Charlotte M. Deane, Aniket Magarkar, Garrett M. Morris, Philip C. Biggin

“…Abstract Machine learning offers great promise for fast and accurate binding affinity predictions. However, current models lack robust evaluation and fail on tasks encountered in (hit-to-) lead optimisation, such as ranking the binding affinity of a congeneric series of ligands, thereby limiting their application in drug discovery. …”
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Safety Distance of Shotcrete Subjected to Blasting Vibration in Large-Span High-Speed Railway Tunnels by Ao Li, Dingli Zhang, Qian Fang, Jiwei Luo, Liqiang Cao, Zhenyu Sun

“…Blast vibration in the tunnel was recorded using microseismic monitoring technique. Empirical prediction equations for peak particle velocity (PPV) were obtained through regression analysis based on the obtained monitoring data. …”
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Scientometrics Approach to Advance Public Policy Within the Framework of Indigenous Peoples by Sujianto Sujianto, Habibie Dedi Kusuma, Putri Risky Arya, Adianto Adianto, As’ari Hasim, Putri Atika Ulfa, Gendroyono Gendroyono

“…Within the context of public policy and Indigenous Peoples’ Rights, the application of scientometrics provides various insights, including publication analysis, policy impact prediction and Indigenous rights, collaboration analysis, policy trends and Indigenous rights analysis, and knowledge mapping in a more objective and reliable framework. …”
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ISMAC: An Intelligent System for Customized Clinical Case Management and Analysis by Mingyu You, Chong Chen, Guo-Zheng Li, Shi-Xing Yan, Sheng Sun, Xue-Qiang Zeng, Qing-Ce Zhao, Liao-Yu Xu, Su-Ying Huang

“…Varying data analysis and mining methods, grouped as Basic Analysis, Association Rule, Feature Reduction, Cluster, Pattern Classification, and Pattern Prediction, are implemented in the system. With a flexible dataset retrieval mechanism, ISMAC is a powerful and convenient system for clinical case analysis and clinical knowledge discovery.…”
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Fast Video Encoding Algorithm for the Internet of Things Environment Based on High Efficiency Video Coding by Jong-Hyeok Lee, Kyung-Soon Jang, Byung-Gyu Kim, Seyoon Jeong, Jin Soo Choi

“…To design intramode decision algorithm, Local Binary Pattern (LBP) of the current prediction unit is used as texture feature. Experimental results show that the encoding complexity can be reduced by up to 12.35% on average in the AI-Main profile configuration with only a small bit-rate increment and a PSNR decrement, compared with HEVC test model (HM) 12.0-RExt4.0 reference software.…”
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Factors Influencing Efficacy of Peripheral Corneal Relaxing Incisions during Cataract Surgery by Nino Hirnschall, Jörg Wiesinger, Petra Draschl, Oliver Findl

“…PCRI causes a reduction of preoperative astigmatism, though the prediction is difficult but several factors were found to be a relevant source of error.…”
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