A large-scale prospective nested case-control study: developing a comprehensive risk prediction model for early detection of pancreatic cancer in the community-based ESPRIT-AI coho... by Chaoliang Zhong, Penghao Li, Jia Zhao, Xue Han, Beilei Wang, Gang Jin

“…Based on this comprehensive dataset, we conducted a prospective, nested case-control study. …”
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Coordination of smart inverter-enabled distributed energy resources for optimal PV-BESS integration and voltage stability in modern power distribution networks: A systematic review... by Olufunke Abolaji Balogun, Yanxia Sun, Peter Anuoluwapo Gbadega

“…Furthermore, optimal inverter settings, strategic placement of PV-BESS, and advanced control algorithms are identified as critical factors for effective DER integration. …”
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Identification and Validation of Circadian Rhythm‐Related Genes Involved in Intervertebral Disc Degeneration and Analysis of Immune Cell Infiltration via Machine Learning by Yongbo Zhang, Liuyang Chen, Sheng Yang, Rui Dai, Hua Sun, Liang Zhang

“…Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and gene set enrichment analysis (GSEA) were conducted to explore the biological functions of these genes. …”
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Cooperative Low-Carbon Trajectory Planning of Multi-Arrival Aircraft for Continuous Descent Operation by Cun Feng, Chao Wang, Hanlu Chen, Chenyang Xu, Jinpeng Wang

“…Firstly, this study analyzes the CDO phases of aircraft in the terminal area, establishes a multi-phase optimal control model for the vertical profile, and introduces a novel vertical profile optimization method for CDO based on a genetic algorithm. …”
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Continuous Train Positioning Using Visible Light Communication Assisted with Zero Velocity Update by Yanpeng ZHANG, Rongrong ZHANG, Nan MENG, Bingqing ZHANG, Xia XIAO

“…An experimental platform for autonomous train positioning, combining binocular stereo vision and VLC, is established, and MATLAB software is employed to analyze the experimental results of continuous train positioning.Results and Discussions A test point of train positioning is set every 0.5 m along the direction of train movement, and experiments are conducted 20 times on the optimization of train positioning in each positioning unit. …”
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Deep learning-based prediction of individualized Real-time FSH doses in GnRH agonist long protocols by Na Kong, Yu Xia, Zhilong Wang, Hui Zhang, Liyan Duan, Yingchun Zhu, Chenyang Huang, Guijun Yan, Jie Mei, Wujun Li, Haixiang Sun

“…Abstract Background Individualizing follicle-stimulating hormone (FSH) dosing during controlled ovarian stimulation (COS) is critical for optimizing outcomes in assisted reproduction but remains difficult due to patient heterogeneity. …”
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Low-Power-Management Engine: Driving DDR Towards Ultra-Efficient Operations by Zhuorui Liu, Yan Li, Xiaoyang Zeng

“…To substantiate the efficacy of our proposed design, an array of experiments was conducted. These rigorous tests evaluated the DDR subsystem’s performance and energy consumption under a diverse set of workloads and system configurations. …”
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Development of a model of an electrical complex for gas air cooling devices of gas field №1 gazprom dobycha Yamburg LLC with a centralized power supply system in the MATLAB/SIMULIN... by L. R. Maskov, V. Y. Kornilov

“…There were analyzed and developed proposals to enhance power efficiency of EMD ETC AHE and algorithms, which provide optimal direct start-up of the AHE fan group within the set time after the power failure without overloading of the power supply source, were proposed.CONCLUSIONS. …”
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Integrated analysis of WGCNA and machine learning identified diagnostic biomarkers in trauma-induced coagulopathy by Qingsong Chen, Tao Li, Tao Zhang, Yue Zhou, Weifeng Huang, Hui Li, Li Shi, Jianxiao Li, Qi Zhang, Man Ma, Pan Wang, Hui Hu, Gongbin Wei, Jiangxia Xiang, Yuan Cheng, Jun Yang, Guangbin Huang, Yongming Li, Dingyuan Du

“…This approach included principal component analysis, differential gene expression analysis using DESeq2, Gene Set Enrichment Analysis (GSEA), weighted gene co-expression network analysis (WGCNA), and machine learning (ML) algorithms (support vector machine-recursive feature elimination, least absolute shrinkage and selection operator, and random forest) for feature gene identification. …”
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Effectiveness of biomarker-guided duration of antibiotic treatment in children hospitalised with confirmed or suspected bacterial infection: the BATCH RCT by Cherry-Ann Waldron, Philip Pallmann, Simon Schoenbuchner, Debbie Harris, Lucy Brookes-Howell, Céu Mateus, Jolanta Bernatoniene, Katrina Cathie, Saul N Faust, Josie Henley, Lucy Hinds, Kerry Hood, Chao Huang, Sarah Jones, Sarah Kotecha, Sarah Milosevic, Helen Nabwera, Sanjay Patel, Stéphane Paulus, Colin VE Powell, Jenny Preston, Huasheng Xiang, Emma Thomas-Jones, Enitan D Carrol

“…Methods A pragmatic, multicentre, open-label, parallel two-arm, individually RCT conducted in 15 hospitals in the UK. Children aged between 72 hours and 18 years admitted to hospital and being treated with IV antibiotics for suspected or confirmed bacterial infection were randomised (1 : 1 ratio of allocation) using minimisation for age and centre and using a secure 24-hour web-based randomisation programme to a PCT-guided algorithm versus usual standard care alone. …”
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Structure of associative heterarchical memory by R. V. Dushkin, V. A. Lelekova, V. Y. Stepankov, S. Fadeeva

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Digital augmentation of aftercare for patients with anorexia nervosa: the TRIANGLE RCT and economic evaluation by Janet Treasure, Katie Rowlands, Valentina Cardi, Suman Ambwani, David McDaid, Jodie Lord, Danielle Clark Bryan, Pamela Macdonald, Eva Bonin, Ulrike Schmidt, Jon Arcelus, Amy Harrison, Sabine Landau

“…Design Transition Care In Anorexia Nervosa through Guidance Online from Peer and Carer Expertise was a multicentre, parallel-group, superiority randomised controlled trial. ECHOMANTRA augmented treatment as usual was compared with treatment as usual. …”
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The clinical utility and safety of biomarker-guided immunosuppression withdrawal in liver transplantation: the LIFT prospective RCT by Julien Vionnet, Rosa Miquel, Juan G Abraldes, Juan-Jose Lozano, Pablo Ruiz, Miquel Navasa, Aileen Marshall, Frederik Nevens, William Gelson, Joanna Leithead, Steven Masson, Elmar Jaeckel, Richard Taubert, Phaedra Tachtatzis, Dennis Eurich, Kenneth Simpson, Eliano Bonaccorsi-Riani, James Ferguson, Alberto Quaglia, Maria Elstad, Marc Delord, Abdel Douiri, Alberto Sánchez-Fueyo

“…A previous clinical trial showed that a logistic regression algorithm including the transcript levels of a set of five genes in a liver biopsy could predict the success of immunosuppression withdrawal with high sensitivity and specificity. …”
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Early Parkinson’s disease identification via hybrid feature selection from multi-feature subsets and optimized CatBoost with SMOTE by Subhashree Mohapatra, Bhanja Kishor Swain, Manohar Mishra

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Model-Based Fault Detection and Isolation of a Liquid-Cooled Frequency Converter on a Wind Turbine by Peng Li, Peter Fogh Odgaard, Jakob Stoustrup, Alexander Larsen, Kim Mørk

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GMVO: graph-CNN-based trajectories’ instance-level segmentation for multi-motion visual odometry by Fang Wan, Qiying Zhao, Hongchang Sun, Fengyu Zhou, Yanzheng Wang, Panlong Gu

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Integration of bulk RNA-seq and scRNA-seq reveals transcriptomic signatures associated with deep vein thrombosis by Bao-ze Pan, Ming-jun Jiang, Li-ming Deng, Jie Chen, Xian-peng Dai, Zi-xuan Wu, Zhi-he Deng, Dong-yang Luo, Yang-yi-jing Wang, Dan Ning, Guo-zuo Xiong, Guo-shan Bi

“…Based on the same methodology as the internal test set, 12 DVT patients and six control groups were collected to construct an external test set and validated using machine learning (ML) algorithms and immunofluorescence (IF). …”
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A blood-based screening tool for Alzheimer's disease that spans serum and plasma: findings from TARC and ADNI. by Sid E O'Bryant, Guanghua Xiao, Robert Barber, Ryan Huebinger, Kirk Wilhelmsen, Melissa Edwards, Neill Graff-Radford, Rachelle Doody, Ramon Diaz-Arrastia, Texas Alzheimer's Research & Care Consortium, Alzheimer's Disease Neuroimaging Initiative

“…<h4>Objective</h4>To generate and cross-validate a blood-based screener for AD that yields acceptable accuracy across both serum and plasma.<h4>Design, setting, participants</h4>Analysis of serum biomarker proteins were conducted on 197 Alzheimer's disease (AD) participants and 199 control participants from the Texas Alzheimer's Research Consortium (TARC) with further analysis conducted on plasma proteins from 112 AD and 52 control participants from the Alzheimer's Disease Neuroimaging Initiative (ADNI). …”
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Polish Speech and Text Emotion Recognition in a Multimodal Emotion Analysis System by Kamil Skowroński, Adam Gałuszka, Eryka Probierz

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Factors Identification and Prediction for Mind Wandering Driving Using Machine Learning by Ciyun Lin, Hongli Zhang, Bowen Gong, Dayong Wu

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