Experimental Investigations on Charge Induction and Microseismic Characteristics of the Coal and Rock under Different Loading Rates by Yuchun Liu, Ling Ding, Yangfeng Zhao, Yi Fan, Hongfei Li

“…The research on charge induction and microseismic characteristics of coal and rock under different loading rates is of great significance for rockburst prediction. In this study, the coal and sandstone samples from the No. 11 mine of Pingdingshan Coal Mine are prepared. …”
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Constructing meaningful code changes via graph transformer by Shikai Guo, Mengxuan Li, Xin Ge, Hui Li, Rong Chen, Tingting Li

“…For the quantitative analysis, GTCT relatively outperforms the baseline on six datasets by 210%, 342.86%, 135%, 29.41%, 109.09%, and 91.67% in terms of perfect prediction. Meanwhile, the qualitative analysis shows that each type of code change by GTCT outperforms that of the baseline method in terms of bug fixed, refactoring code and others' taxonomy of code changes.…”
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Selected Abstracts of the 8th World Summit on Pediatrics; Madrid (Spain); October 3-6, 2024 by --- Various Authors

“…RECURRENT WHEEZING IN YOUNG CHILDREN: RISK FACTORS AND PREDICTION • A. Mkhitaryan, K. Simonyan (Yerevan, Armenia) ABS 6. …”
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Research on Operation Characteristics and Safety Risk Forecast of Bus Driven by Multisource Forewarning Data by Shejun Deng, Hongru Yu, Caoye Lu

“…To prevent and control public transport safety accidents in advance and guide the safety management and decision-making optimization of public transport vehicles, based on the forewarning and other multisource data of public transport vehicles in Zhenjiang, holographic portraits of public transport safety operation characteristics are constructed from the perspectives of time, space, and driver factors, and a prediction model of fatigue driving and driving risk of bus drivers based on BP neural network is constructed. …”
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Compressive Strength of Fly-Ash-Based Geopolymer Concrete by Gene Expression Programming and Random Forest by Mohsin Ali Khan, Shazim Ali Memon, Furqan Farooq, Muhammad Faisal Javed, Fahid Aslam, Rayed Alyousef

“…To avoid time-consuming and costly experimental procedures, soft computing techniques, namely, random forest regression (RFR) and gene expression programming (GEP), are used in this study to develop an empirical model for the prediction of compressive strength of FGPC. A widespread, reliable, and consistent database of compressive strength of FGPC is set up via a comprehensive literature review. …”
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Single-cell transcriptomics identify a novel macrophage population associated with bone invasion in pituitary neuroendocrine tumors by Xinzhi Wu, Xueshuai Han, Haibo Zhu, Mingxuan Li, Lei Gong, Sicheng Jing, Weiyan Xie, Zhaoqi Liu, Chuzhong Li, Yazhuo Zhang

“…In addition, we defined a gene signature for TNF-α+ TAM to guide the clinical prognosis prediction of BI PitNETs. Conclusions Our study elucidates the tumor microenvironment changes in bone invasion and identifies the critical role of TNF-α+ TAMs in promoting bone invasion of PitNETs, laying a foundation for developing new molecular markers or therapeutic agents targeting BI PitNETs.…”
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Indoor Black Carbon Concentrations and their Sources in Residential Environments: Validation of an Input-adaptive Proxy Model by Jiangyue Zhao, Pak Lun Fung, Martha Arbayani Zaidan, Birgit Wehner, Kay Weinhold, Alfred Wiedensohler, Tareq Hussein

“…This proxy model can predict indoor eBC concentrations based on existing indoor databases or in cases where direct measurements of indoor eBC concentrations are not available. …”
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Moral grounds and social norms of safe prosocial behaviour of young people by P. A. Kislyakov, E. A. Shmeleva, M. O. Aleksandrovich

“…The identified relationships allow for the prediction of the level of readiness of the individual to help and take care of the well-being of another person and society, depending on moral norms and norms of prosocial behaviour. …”
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Evaluating the Performance of Aluminum Oxide Nanoparticle-Modified Asphalt Binder and Modelling the Viscoelastic Properties by Using Artificial Neural Networks and Support Vector M... by Mustafa Alas, Sani Isah Abba, Shaban Ismael Albrka Ali, Abdur Rahim, Nur Izzi Md. Yusoff

“…Moreover, based on the statistical performance indicator, coefficient of determination (R2), it was observed that the ANN models for predicting G∗ and δ achieved a prediction accuracy of 0.989 and 0.911 while SVM models were able to achieve 0.984 and 0.929, respectively, considering the training datasets. …”
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Rapid estimation method of lithium battery state of health based on novel health feature by DONG Xiaohong, DONG Jinbo, WANG Mingshen, ZENG Fei, PAN Yi

“…The experimental results show that the proposed method and novel health feature can greatly reduce the calculation volume, and can achieve fast estimation of lithium battery SOH while ensuring prediction accuracy.…”
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Association of serum neurofilament light chain with cognitive impairment: findings from the National Health and Nutrition Examination Survey by Tianjiao Meng, Qinwen Fei, Tian Lv, Shiqin Chen

“…The least absolute shrinkage and selection operator (LASSO) regression was applied for identifying key cognitive impairment factors, which was then included in the establishment of a risk prediction nomogram model, with the receiver operating characteristic (ROC) curve being built to evaluate its discriminatory power for cognitive impairment.ResultsIt was found that there is a strong positive correlation between serum NfL levels and both low total cognitive function (total-CF) OR: 1.028 (95%CI = 1.015–1.041 p < 0.001) and low Digit Symbol Substitution Test (DSST) OR: 1.026 (95%CI = 1.003–1.050, p = 0.027). …”
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Nonlinear Structural Fusion for Multiplex Network by Nianwen Ning, Feiyu Long, Chunchun Wang, Youjie Zhang, Yilin Yang, Bin Wu

“…Experiments on real-world networks demonstrate that MNSF outperforms the state-of-the-art methods in tasks link prediction and shared community detection.…”
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Role of drug-induced sleep endoscopy in evaluation of positional vs non-positional OSA by Ming-Chin Lan, Stanley Yung-Chuan Liu, Ming-Ying Lan, Yun-Chen Huang, Tung-Tsun Huang, Yen-Bin Hsu

“…Multivariate analysis revealed that oropharyngeal lateral wall collapse (OR = 1.90, p = 0.027) was the only anatomical factor significantly predicted non-positional dependency in OSA patients. …”
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Prevalence of perinatal post-traumatic stress disorder (PTSD) in low-income and middle-income countries: a systematic review and meta-analysis by Charles Opondo, Holly Jenkins, Fiona Alderdice, Gracia Fellmeth, Zoe Daskalopoulou

“…Pooled prevalence estimates were calculated with 95% CIs and prediction intervals (PI) using random-effects meta-analyses. …”
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Study of the coefficient of friction and forward slip in cold rolling of stainless steel AISI 430 in Sendzimir mills by André C.M. Miranda, Carlos L. Neto, Wilian da S. Labiapari, Pedro Henrique R. Pereira, Paulo R. Cetlin, Ariel R. Arias

“…Forward slip is also an important variable to predict skidding and an investigation of forward slip behavior is proposed in this paper. …”
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Short-term solar irradiance forecasting using deep learning models by Syed Saad Ahmed, Chang Wei Bin, Nisar Humaira, Riaz Hannan Naseem, Yeap Kim Ho, Zaber Nursaida Mohamad

“…In this paper, short-term solar forecasting models are proposed using deep learning to reliably predict the amount of solar irradiance for optimal power generation. …”
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A recurrence model for non-puerperal mastitis patients based on machine learning. by Gaosha Li, Qian Yu, Feng Dong, Zhaoxia Wu, Xijing Fan, Lingling Zhang, Ying Yu

“…<h4>Results</h4>The logistic regression model emerged as the optimal model for predicting recurrence of NPM with machine learning, primarily utilizing three variables: FIB, bacterial infection, and CD4+ T cell count. …”
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Uncertainty analysis of linear and non-linear regression models in the modeling of water quality in the Caspian Sea basin: Application of Monte-Carlo method by Sahar Heidari Masteali, Mahmoud Bayat, Pete Bettinger, Mansour Ghorbanpour

“…The assessment of uncertainty in water quality prediction models is crucial for understanding the reliability of these models. …”
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MaDis-Stereo: Enhanced Stereo Matching via Distilled Masked Image Modeling by Jihye Ahn, Hyesong Choi, Soomin Kim, Dongbo Min

“…Given randomly masked stereo images as inputs, our method attempts to conduct both image reconstruction and depth prediction tasks. While this strategy is beneficial to resolving the data scarcity issue, the dual tasks of reconstructing masked tokens and subsequently performing stereo matching pose significant challenges, particularly in terms of training stability. …”
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Spatiotemporal Evolution Characteristics of Fluid Flow through Large-Scale 3D Rock Mass Containing Filling Joints: An Experimental and Numerical Study by Qian Yin, Hongwen Jing, Tantan Zhu, Lizhou Wu, Haijian Su, Liyuan Yu

“…The calculated values show a good agreement with the numerical results, indicating a good prediction of the seepage evolution through the filling joint.…”
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