Multiplex Network Embedding Model with High-Order Node Dependence by Nianwen Ning, Qiuyue Li, Kai Zhao, Bin Wu

“…The experimental results demonstrate that the proposed model outperforms the state-of-the-art methods in cross-domain link prediction and shared community detection tasks.…”
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Biomarkers of inflammation and colorectal cancer risk by Yuting Li, Yuting Li, Yuting Li, Yuexin Luo, Yue Ran, Furong Lu, You Qin

“…Overall, while evidence highlights the significance of inflammatory biomarkers in CRC risk prediction, larger prospective studies are urgently needed to clarify their roles due to existing inconsistencies and methodological limitations.…”
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Comparison of Risks Factors for Unplanned ICU Transfer after ED Admission in Patients with Infections and Those without Infections by Jeffrey Che-Hung Tsai, Ching-Wan Cheng, Shao-Jen Weng, Chin-Yin Huang, David Hung-Tsang Yen, Hsiu-Ling Chen

“…The objectives of this study were to compare the risk factors for unplanned intensive care unit (ICU) transfer after emergency department (ED) admission in patients with infections and those without infections and to explore the feasibility of using risk stratification tools for sepsis to derive a prediction system for such unplanned transfer. Methods. …”
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Intersatellite Comparisons of GOES Magnetic Field Measurements by Frederick J. Rich, Samuel Califf, Paul T. M. Loto'aniu, Monica Coakley, Alexander Krimchansky, Howard J. Singer

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Spatiotemporal Changes of Extreme Precipitation and Its Teleconnection Analysis with Climate Circulation Indices in Three Gorges Reservoir Area in Recent 60 Years by ZENG Huiqi, TENG Shunlin, SHAO Meng, ZHANG Lu, WANG Yuefeng

“…Analyzing the correlation between large-scale climate circulation and extreme precipitation is of great significance for regional flood and drought warnings and extreme weather management.Previous studies have well revealed the influence of a single climate circulation index,while the influence characteristics of multiple climate circulation indices are still unclear.According to the daily precipitation in 21 meteorological stations in Three Gorges Reservoir Area (TGRA) from 1960 to 2019,eight extreme precipitation indices (CDD,CWD,R10,R20,Rx1d,Rx5d,R95p,and R99p) were constructed in terms of precipitation duration and absoluteness,and Mann-Kendall (M-K) trend test,Spearman correlation analysis,and multiple linear regression (MLR) were used to analyze the spatiotemporal changes during extreme precipitation in the TGRA.Then the correlation between extreme precipitation and climate circulation was revealed in terms of single and multiple factors.The results showed that:①The R10,R20,Rx1d,Rx5d,R95p,and R99p in the TGRA spatially decreased from northwest to southeast from 1960 to 2019,which was similar to the spatial trend of multi-year average precipitation;②the CWD,CDD,R10,and Rx5d generally decreased,while R20,Rx1d,R95p,and R99p increased.The duration of continuous precipitation events in the TGRA shortened,but the frequency and intensity of short-term strong precipitation events increased;③in terms of teleconnection analysis of extreme precipitation and climate circulation index,the multiple factor regression analysis could better explain the extreme precipitation index than the single factor regression analysis.Specifically,the combination of the East Asian Summer Monsoon Index (EASMI) and the South Asian Summer Monsoon Index (SASMI) had the best performance in explaining the extreme precipitation index.This study can provide a scientific basis for coping with extreme climate change and weather disaster prediction and warning in the TGRA.…”
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Conductance Model for Extreme Events: Impact of Auroral Conductance on Space Weather Forecasts by Agnit Mukhopadhyay, Daniel T. Welling, Michael W. Liemohn, Aaron J. Ridley, Shibaji Chakraborty, Brian J. Anderson

“…Specifically, the model is able to improve the prediction of ionospheric currents, which impact the simulated dB/dt and ΔB, resulting in substantial improvements in dB/dt predictive skill.…”
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The Emerging Role of Implementing Machine Learning in Food Recommendation for Chronic Kidney Diseases Using Correlation Analysis by Sachin Gupta, Neeraj Garg, Divyanshu Sinha, Babita Yadav, Bhoomi Gupta, Shahajan Miah

“…This technology helps physicians in the accurate diagnosis of kidney disease and helps in effective treatment prediction by recommending required nutrition. The present research relates to the use of ML in proper kidney disease diagnosis and food recommendations for treatment accordingly. …”
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Expansion of medical school admission quotas in Korea, is it really necessary? by Jeong Hun Park, Jungchan Lee, Kye-Hyun Kim, Yo Han Shin, Seog-Kyun Mun

“…Results The Korean government’s prediction that there will be a shortage of 10,000 doctors in 2035 can be confirmed by the underestimation of the number of working days (265 days). …”
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Harnessing the Influence of Pressure and Nutrients on Biological CO₂ Methanation Using Response Surface Methodology and Artificial Neural Network—Genetic Algorithm Appro... by Alexandros Chatzis, Konstantinos N. Kontogiannopoulos, Nikolaos Dimitrakakis, Anastasios Zouboulis, Panagiotis G. Kougias

“…RSM identified optimal ranges for trace elements and pressure, while ANN-GA demonstrated superior predictive accuracy, capturing nonlinear relationships with a high R² (>0.99) and minimal prediction errors. …”
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Accuracy of Intraocular Lens Power Calculation Formulas for Highly Myopic Eyes by Yichi Zhang, Xiao Ying Liang, Shu Liu, Jacky W. Y. Lee, Srinivasan Bhaskar, Dennis S. C. Lam

“…Barrett Universal II formula produced the lowest predictive error and the least variable predictive error compared with the SRK/T, Haigis, Holladay, and Hoffer Q formulas. …”
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An early warning system for oil wells based on improved long short-term memory network by Jinman Li, Jinman Li, Chunsheng Zhang, Yang Lin, Yimeng Liu, Qingshuang Jin, Tianhao Xiao, Xiaoqi Liu, Ying Zhang

“…Traditional methods for predicting oil well production and early warning systems face significant limitations in terms of adaptability and accuracy. …”
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Estimation of True Serum Thyroglobulin Concentration Using Simultaneous Measurement of Serum Antithyroglobulin Antibody by Byeong-Cheol Ahn, Won Kee Lee, Shin Young Jeong, Sang-Woo Lee, Jaetae Lee

“…Mathematical equations for prediction of expected Tg concentration with measured Tg and TgAb concentrations were deduced. …”
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Neuroethical issues in adopting brain imaging for personalized chronic pain management: Attitudes of people with lived experience of chronic pain by Karen Deborah Davis, Monica de Oliveira, Ariana Besik, Daniel Z. Buchman

“…Most respondents were open to using brain imaging for diagnostics, prediction, and therapeutic decision making (>90%). …”
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Uncertainty-Aware Semi-Supervised Method for Pectoral Muscle Segmentation by Yutao Tang, Yongze Guo, Huayu Wang, Ting Song, Yao Lu

“…The final target predictions are a combination of high-confidence teacher predictions and refined low-confidence predictions. …”
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Forecasting mental states in schizophrenia using digital phenotyping data. by Thierry Jean, Rose Guay Hottin, Pierre Orban

“…Previous research focused on binary classification and continuous regression, disregarding the often ordinal nature of prediction targets derived from clinical rating scales. …”
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Evaluation of Radiomorphometric Indices of Panoramic Images of Mandible to Estimate Gender and Approximate Age by Seyed Hosein Razavi, Ali Drafshi, Fatemeh Ezoddini, Khalil Sarikhani, Mohammad Khodabakhsh

“…For gender determination, the AN, PRH, CRH, and CH indices can be used in descending order of significance. Using the prediction equation, gender determination accuracy was 77% for males, 86% for females, and 82% overall. …”
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Correlation between Maximum Clot Firmness in FIBTEM and Fibrinogen Level in Critical Trauma Patients by Supphamongkhon Khunakanan, Osaree Akaraborworn, Burapat Sangthong, Komet Thongkhao

“…FIBTEM MCF had poor prediction of fibrinogen level; however, it can help to identify patients who have hypofibrinogenemia.…”
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Over 20‐Year Global Magnetohydrodynamic Simulation of Earth's Magnetosphere by Ilja Honkonen, Max van deKamp, Theresa Hoppe, Kirsti Kauristie

“…Our extensive results can serve, for example, as a foundation for combined physics‐based and black‐box approach to real‐time prediction of near‐Earth space, or as input to other physics‐based models of the inner magnetosphere, upper and middle atmosphere, etc.…”
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Analysis of Physicochemical Properties, Volatile Flavor Compounds and Bacterial Communities in Broad Bean Paste from Sichuan and Chongqing by TU Dawei, MA Hongneng, LI Jia, KANG Junhan, LIU Wenjun

“…Orthogonal partial least squares-discriminant analysis (OPLS-DA) was employed to establish a prediction model with good stability for discriminating the nine samples of broad bean paste. …”
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Investigating temperature effects on perovskite solar cell performance via SCAPS-1D and impedance spectroscopy by A. Mortadi, Y. Tabbai, E. El Hafidi, H. Nasrellah, E. Chahid, M. Monkade, R. El Moznine

“…The simulation software SCAPS-1D emerges as a vital tool for analyzing PSCs performance under various thermal conditions, aiding in the prediction and optimization of PSCs function for enhanced efficiency and stability.Thermal effects on PSCs are evaluated by analyzing electrical parameters, such as the current-voltage density (J-V) and power-voltage (P-V) curves, across different temperatures. …”
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