An Intelligent Prediction Method of the Karst Curtain Grouting Volume Based on Support Vector Machine by Jiandong Niu, Bin Wang, Haifa Wang, Zhiwei Deng, Jianxin Liu, Zewei Li, Guanjun Chen, Botao Zhang

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Multimodal Temporal Knowledge Graph Embedding Method Based on Mixture of Experts for Recommendation by Bingchen Liu, Guangyuan Dong, Zihao Li, Yuanyuan Fang, Jingchen Li, Wenqi Sun, Bohan Zhang, Changzhi Li, Xin Li

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The Influence of a Biopolymer Coating on Selected Surface Properties of Soilless Substrates Made from Coconut Fibre by Maciej Balawejder, Natalia Matłok, Małgorzata Szostek, Maciej Kuboń

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Potential analysis and energy prediction of photovoltaic power plants using satellite-based remote sensing and artificial intelligence techniques by Hadis Ghaedrahmati, Saeed Talebi, Amirmohammad Moradi, Aref Eskandari, Parviz Parvin, Mohammadreza Aghaei, Mohammadreza Aghaei

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High bandwidth performance of newly designed multimode W-type microstructured plastic optical fibers with graded-index core distribution by Ana Simović, Branko Drljača, Milan S. Kovačević, Ljubica Kuzmanović, Alexandar Djordjevich, Konstantinos Aidinis, Changyuan Yu, Xiong Deng, Svetislav Savović

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Eddy Detection of Lakes in the Qinghai–Tibet Plateau Based on Optical Remote Sensing and Deep Learning by Bingxin Bai, Lixia Mu, Jie Yang, Baoxiang Huang, Chunyong Ma, Ge Chen

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Team triage increases discharges and decreases time to discharge without increasing test ordering by Samita M. Heslin, Arie Francis, Richard Cloney, Gina Marie Polizzo, Karen Scott, Candice King, Peter Viccellio, Alison L. Rowe, Eric J. Morley

“…Methods This is a retrospective review of patients seen before and after a team triage process was established. Percentage of patients receiving testing and the diagnostic yields of troponins, lactates, international normalized ratios (INRs), blood cultures, glomerular filtration rates (GFR), and head computed tomography (CT) images were studied. …”
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The brain’s internal echo: Longer timescales, stronger recurrent connections and higher neural excitation in self regions by Kaan Keskin, Yasir Catal, Angelika Wolman, Mehmet Cagdas Eker, Ali Saffet Gonul, Georg Northoff

“…The increased recurrent connections in self regions, together with their higher levels of neural excitation and the longer autocorrelation window, may be ideally suited to mediate their self-referential processing: this can thus be seen as a form of ‘psychological recurrence’ where one and the same input/stimulus is processed in a prolonged echo-chamber like way, that is, an internal echo within the self regions themselves.…”
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Mapping curvature domains in human V4 using CBV-sensitive layer-fMRI at 3T by Elisa Zamboni, Elisa Zamboni, Isaac Watson, Isaac Watson, Rüdiger Stirnberg, Laurentius Huber, Elia Formisano, Rainer Goebel, Aneurin J. Kennerley, Antony B. Morland, Antony B. Morland, Antony B. Morland

“…The work advances our understanding of the role of mid-level area V4 in human processing of curvature and shape features.ImpactKnowledge of how the functional architecture and hierarchical integration of local contours (curvature) contribute to formation of shapes can inform computational models of object recognition. …”
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Reproductive Tract Mucus May Influence the Sex of Offspring in Cattle: Study in Cows That Have Repeatedly Calved Single-Sex Offspring by Fei Huang, Peng Niu, Jieru Wang, Jiajia Suo, Lulu Zhang, Jie Wang, Di Fang, Qinghua Gao

“…The results of flow cytometry processing revealed the following proportions: for cows consistently producing male calves: Y: 83.33 ± 5.52% vs. …”
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Research on real-time monitoring method of mine personnel protective equipment with improved YOLOv8 by Lei ZHANG, Zhipeng SUN, Hongjing TAO, Shangkai HAO, Qianru YAN, Xiwei LI

“…By dynamically distributing gradient gain, Focus on ordinary anchor frame quality, In the process of model training, the harmful gradient generated by low quality anchor frame is reduced. …”
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Academic motivation in association with mental health and quality of life among medical and health science students: a survey in Vietnam by Ngoc Le Mai Duong, Viet Ha Nguyen, Minh Tri Ngo, Dai Minh Le, Tien Dat Nguyen, Thi Thu Trang Nguyen, Huu Tu Nguyen, Bao Giang Kim, Thanh Tung Pham

“…Methods A cross-sectional study was conducted on first and final year students of doctor and bachelor programs from October to November 2018 via a computer-based questionnaire. Academic motivation was assessed using the AMS-C 28 scale. …”
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Numerical Simulation of the Impact of Oxygen Enrichment Technology on Fuel Combustion and CO Emissions During Sintering by Zhen LI, Zhengjian LIU, Jianliang ZHANG, Yaozu WANG

“…Against the backdrop of China′s "Dual Carbon", CO emission reduction technologies are crucial in the sintering process. We employed Computational Fluid Dynamics (CFD) to develop separate models for the combustion of fuel particles and for sintering machines. …”
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Research on a PCA-transformer-based prediction algorithm for gas concentration in working face by YANG Jian, SHU Longyong, ZHANG Shulin, QIN Kai, CUI Cong

“…Then, PCA was applied to reduce the dimensionality of seven influencing factors (methane concentration at the upper corner, return airflow methane concentration, oxygen concentration, carbon monoxide concentration, temperature, net flow rate, and wind speed), effectively eliminating weakly correlated features. Finally, the processed training set was fed into a Transformer model, where the encoder and decoder extracted intrinsic patterns and features of gas concentration variations. …”
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Remote Sensing of Alpine Peatlands: Challenges of Mapping Thousands of Sparse Small Sites Scattered Across Extensive Mountainous Territories by Qiqi Li, Manudeo Singh, Sonia Silvestri

“…., Sentinel series) and the cloud‐based computation platforms (e.g., Google Earth Engine—GEE) have become available. …”
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Thermodynamics and the Fuel Qualities of Produced Biodiesel From Nonedible Biomaterials: RStudio and Central Composite Design Approach by Sunday C. Iweka, Jeremiah L. Chukwuneke, Emmanuel Chuka Chinwuko

“…The transesterification process was optimized with rotatable central composite design and RStudio, and both tools yielded the same maximum biodiesel output of 97.12 wt.%., at time 70 min, acidified‐catalyst 3.5 wt.%, methanol: oil 7:1, and temperature at 65°C. …”
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The impact of leisure sedentary behaviors on risk of chronic kidney disease, diabetes, and related complications: Mendelian randomization study by Shuo Zhong, Rui Xiao, Ying Lin, Bo Xie, Jing Sun

“…In this study, we performed two-sample Mendelian randomization for declaring the potential causal association between LSBs and these diseases and summarized the causal estimates.Methods In this study, we used GWAS summary statistics from the public database for exposures (LSB: television watching, computer use, and driving) and outcomes (chronic kidney diseases, diabetes mellitus, and related complications). …”
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Hyperspectral imaging combined with machine learning for high‐throughput phenotyping in winter wheat by Sehijpreet Kaur, Vijaya Gopal Kakani, Brett Carver, Diego Jarquin, Aditya Singh

“…The hyperspectral image processing pipeline utilized for image analysis was described. …”
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Formulation of multicriteria problem of routing and scheduling of manned and unmanned aircraft in a dynamic environment and approach to its solution using genetic algorithms by G. N. Lebedev, V. B. Malygin, D. A. Mikhaylin, T. Byo

“…The practice of using genetic algorithms has shown that along with the achievement of a global extremum with it, the process of substantial improvement of planning results is achieved in several evolution steps, and their number is clearly less than the number of steps when using numerical methods of parametric optimization.  …”
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Snow Depth Extraction From Time‐Lapse Imagery Using a Keypoint Deep Learning Model by C. M. Breen, W. R. Currier, C. Vuyovich, Z. Miao, L. R. Prugh

“…However, current approaches for extracting snow depth from snow poles typically relies on time intensive manual photo processing. By integrating computer vision algorithms with snow pole photography, we present a method that uses a keypoint detection model to automatically observe snow height across a network of sites. …”
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