Textual knowledge entity extraction of hidden dangers in coal mine accidents based on probabilistic fusion algorithm by LI Jing, LI Zequan, SHI Futai, HAO Qiang

“…Its precision, recallrate, and F1-score improved by 8.93%, 5.28%, and 7.51%, respectively, significantly enhancing the model's prediction accuracy and stability, while demonstrating excellent adaptability.…”
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Pseudolabel guided pixels contrast for domain adaptive semantic segmentation by Jianzi Xiang, Cailu Wan, Zhu Cao

“…However, these works do not take into account the diversity of features within each class when using contrastive learning, which leads to errors in class prediction. We analyze the limitations of these works and propose a novel framework called Pseudo-label Guided Pixel Contrast (PGPC), which overcomes the disadvantages of previous methods. …”
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Diagnostic Role of Plasma MicroRNA-21 in Stable and Unstable Angina Patients and Association with Aging by Md Sayed Ali Sheikh

“…The present study explored the clinical value of plasma microRNA-21 as a novel biomarker for early prediction of stable and unstable angina patients and its relationship with aging. …”
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Comparison of Thunderstorm Simulations from WRF-NMM and WRF-ARW Models over East Indian Region by A. J. Litta, Sumam Mary Ididcula, U. C. Mohanty, S. Kiran Prasad

“…Mesoscale models are essential for the accurate prediction of such high-impact weather events. In the present study, an attempt has been made to compare the simulated results of three thunderstorm events using NMM and ARW model core of WRF system and validated the model results with observations. …”
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Dynamic Modeling and Analysis on the Cable Effect of USV/UUV System Under High-Speed Condition by Xinou Jiang, Cen Zeng, Jian Liu, Qian Gu, Zhenyu Wang, Hua Pan

“…The results provide a solid foundation for the development of cable load prediction models for collaborative marine unmanned platforms, and offer both theoretical and numerical insights for dynamic control strategies based on cable force adjustments.…”
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Coseismic Deformation Responses due to Geometrical Structure and Heterogeneity of the Accretionary Wedge: Study Case 2010 Mentawai Earthquake, West Sumatra, Indonesia by Alvina K. Kuncoro, Wahyu Srigutomo, Umar Fauzi

“…These results indicated that regional physical property information and geometrical features are critical in estimating coseismic deformation, leading to more accurate slip inversion and earthquake and tsunami hazard prediction, particularly in regions with significant inhomogeneity.…”
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The core aspects of mother expressed emotions as a predictor of Vocational identity in Pakistani adolescents: A Structural Equation Modeling Approach by Shammem Akhtar

“…Significant positive prediction was found among mother expressed emotions as positive remarks found 20% and warmth found 45% predictor of vocational identity in adolescents, while emotional-over involvement showed -16% significantly negative predictor of vocational identity among adolescents. …”
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Network Pharmacology Analysis of the Identification of Phytochemicals and Therapeutic Mechanisms of Paeoniae Radix Alba for the Treatment of Asthma by Jingwei Wang, Ling Peng, Lu Jin, Huiying Fu, Qiyang Shou

“…Through TCMSP, PubChem, GeneCards database, and SwissTargetPrediction online tools, potential targets of active ingredients from PRA for the treatment of asthma were obtained. …”
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Sonographic Evaluation of the Obstetric Causes of Vaginal Bleeding During the First Trimester by Naveen Reddy Bandi, Ranjan Nayak Soumya, Jena Satyaswarup, Sahu Niranjan, Das Somadatta

“…This aids the obstetrician in selecting the best treatment planning and helps with prognosis prediction, establishing an accurate diagnosis in a few clinically misdiagnosed cases.…”
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Spatial Modeling of Travel Demand Accounting for Multicollinearity and Different Sampling Strategies: A Stop-Level Case Study by Samuel de França Marques, Cira Souza Pitombo, J. Jaime Gómez-Hernández

“…To address limitations found in previous studies, this study proposes a novel approach based on Geographically Weighted Principal Component Analysis (GWPCA) and Ordinary Kriging to predict the stop-level boarding or alighting data along bus lines in São Paulo (Brazil), considering four different sampling methods. …”
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Modeling the Relationship between Rice Yield and Climate Variables Using Statistical and Machine Learning Techniques by Lasini Wickramasinghe, Rukmal Weliwatta, Piyal Ekanayake, Jeevani Jayasinghe

“…Rice harvest and yield data over the last three decades and monthly climatic data were used to develop the prediction model by applying artificial neural networks (ANNs), support vector machine regression (SVMR), multiple linear regression (MLR), Gaussian process regression (GPR), power regression (PR), and robust regression (RR). …”
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Estimation of Ultimate Bearing Capacity in Rock-Socketed Piles Using Optimized Machine Learning Approaches by Ali Hassan, Hamza Rashid

“…This article introduces an innovative methodology for the precise prediction of Qu. This approach leverages the Naive Bayes (NB) algorithm to construct exact and comprehensive predictive models. …”
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An approximate likelihood method reveals ancient gene flow between human, chimpanzee and gorilla by Galtier, Nicolas

“…This is most often pursued via the so-called ABBA-BABA type of method, which relies on a prediction of symmetry of gene tree discordance made by the incomplete lineage sorting hypothesis. …”
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Analysis of Lymphocyte Subpopulations and Cytokines in COVID-19-Associated Pneumonia and Community-Acquired Pneumonia by Guohong Liu, Xianghu Jiang, Xiaojiao Zeng, Yunbao Pan, Haibo Xu

“…Parameters for independent prediction of COVID-19 were calculated by logistic regression. …”
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A study of Summer Rainfall on the Southern Coast of the Caspian Sea Using WRF and Satellite Numerical Forecasting Models by Donya Sadegh Nezhad, Ebrahim Fatehi, Gholam Ali Kamali, Zahra Ghassabi

“…The more accurate the rainfall forecast is, the better the flood can be predicted. Numerical weather forecasting models such as WRF usually do not have suitable outputs for predicting the amount of precipitation in the first hours of implementation; This is intensified in the summer season on the southern shores of the Caspian Sea in the provinces of Gilan and Mazandaran. …”
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Methodology and Results of Detailed 3D Seismic Exploration in the Zhezkazgan Ore District by Arman Sirazhev, Sara Istekova, Dina Tolybaeva, Kuanysh Togizov, Raushan Temirkhanova

“…This article presents the results obtained from a high-resolution wide-azimuthal 3D seismic reflection method used for the prediction and detailed exploration of complex ore targets in the Zhezkazgan ore district of Central Kazakhstan. …”
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Multi-Indices Quantification for Left Ventricle via DenseNet and GRU-Based Encoder-Decoder with Attention by Zhi Liu, Yunhua Lu, Xiaochuan Zhang, Sen Wang, Shuo Li, Bo Chen

“…This is because the prediction results in our study can be obtained for each frame online while the SOTA only can output results after all frames are analyzed.…”
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Reverse percolation models for growing real-world networks by Tao Fu, Caixia Zeng, Liling Zou, Chenguang Li

“…However, irrespective of the emergence of scale-free properties, the connectivity status of these networks can be effectively predicted using the proposed reverse percolation model.…”
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Optimisation of phytoremediation of zinc ion by Lemnaceae using response surface methodology by Tai Jia Wei, Pang Yean Ling, Lim Steven, Chong Woon Chan

“…The model achieved a satisfactory prediction with a coefficient of determination (R2) of 0.985 based on a modified quadratic model for the optimised phytoremediation process. …”
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A Prototype of a biomimetic scallop robot with bivalve propulsion and a hydrodynamic model for its velocity by Cheng-Hsien Lin, Cheng-Chuan Lin, Pei-Chun Lin, Fu-Ling Yang

“…A general trend that U increased with the clapping frequency was observed from both the experimental data and the model prediction but more complex correlation with the clapping amplitude was revealed. …”
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