Chronic Abdominal Discomfort Syndrome (CADS): A Narrative Review of Treatment Strategies by Gupta M, Patil AS, Staats P, Schatman ME, Kalia H, Sayed D, Soin A, Baranidharan G, Kapural L, Chitneni A, Verrills P, Diwan S, Abd-Elsayed AA, Deer TR

“…The review underscores the necessity of an individualized treatment algorithm due to the complexity of CADS and the multiple pain generators involved. …”
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Statistical analysis plan for the Petal trial: the effects of parental touch on relieving acute procedural pain in neonates [version 3; peer review: 1 approved, 4 approved with res... by Luke Baxter, Rebeccah Slater, Caroline Hartley, Aomesh Bhatt, Annalisa G.V. Hauck, Simon Marchant, Maria M. Cobo, Marianne van der Vaart, Ravi Poorun

“…Randomisation will be via a minimisation algorithm to maintain balance in five prognostic factors. …”
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Improvements to the Nutri-Score to address challenges identified in a Nordic setting by Anna Amberntsson, Mari Mohn Paulsen, Marta Angela Bianchi, Bryndís Eva Birgisdóttir, Anja Pia Biltoft-Jensen, Dina Moxness Konglevoll, Anne Lise Brantsæter, Kaja Lund-Iversen, Lene Frost Andersen, Marianne Hope Abel

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Association and Predictive Ability between Inflammatory Burden Index and Fever Following Endobronchial Forceps Biopsy in Lung Cancer Patients by Zhang M, Yang C, Guo Y

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Identification and Validation of Key Genes Related to Lipophagy in Osteoporosis by Hu YX, Zuo ML, Wu Y, Yang Y, Shi XB, Zhang Q, Wu J, Xie RQ, Bi Y, Lin B, Mo C

“…The minimum absolute contraction selection operator (LASSO), support vector machine recursive feature elimination (SVM-RFE) and Boruta algorithm are used to identify candidate genes for OP-related feature genes, and the expression of key genes is analyzed. …”
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Diagnostic Value of Glycosylated Extracellular Vesicle microRNAs in Gastric Cancer by Wang S, Ma C, Ren Z, Zhang Y, Hao K, Liu C, Xu L, He S, Zhang J

“…Shunda Wang,1,* Cuidie Ma,2,* Zhihua Ren,3,* Yufei Zhang,2 Kun Hao,4 Chengxiu Liu,4 Lida Xu,4 Shun He,5 Jianwei Zhang1 1Department of Pancreatic and Gastric Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, People’s Republic of China; 2College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, 100029, People’s Republic of China; 3Department of General Surgery, Qilu Hospital Fo Shandong University, Jinan, 250012, People’s Republic of China; 4Beijing Hotgen Biotech Co., Ltd, Beijing, 102600, People’s Republic of China; 5Department of Endoscopy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, People’s Republic of China*These authors contributed equally to this workCorrespondence: Shun He, Department of Endoscopy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, People’s Republic of China, Email heshuns@126.com Jianwei Zhang, Department of Pancreatic and Gastric Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, People’s Republic of China, Email panchutong@163.comIntroduction: Early diagnosis is crucial for improving the prognosis of patients with gastric cancer (GC). …”
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Advancing Evapotranspiration Modeling With Optimized Soil and Canopy Resistance Combinations by Jinfeng Zhao, Shikun Sun, Yali Yin, Yihe Tang, Chong Li, Yongshan Liang, Yubao Wang, Alexander Winkler, Shijie Jiang

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Development and validation of a novel predictive model for dementia risk in middle-aged and elderly depression individuals: a large and longitudinal machine learning cohort study by Xuan Xiao, Yihui Li, Qiaoboyang Wu, Xinting Liu, Xu Cao, Maiping Li, Jianjing Liu, Lianggeng Gong, Xi-jian Dai

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The Application of Radiofrequency Waves in Supportive Treatment of Temporomandibular Disorders by M. Pihut, M. Górnicki, M. Orczykowska, E. Zarzecka, W. Ryniewicz, A. Gala

“…The search for new methods of supportive treatment of TMD is an important research direction due to the complex etiology of this disease and the lack of an explicit treatment algorithm. …”
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Measuring River Surface Velocity Using UAS‐Borne Doppler Radar by Zhen Zhou, Laura Riis‐Klinkvort, Emilie Ahrnkiel Jørgensen, Christine Lindenhoff, Monica Coppo Frías, Alexander Rietz Vesterhauge, Daniel Haugård Olesen, Makar Lavish, Alexey Dobrovolskiy, Alexey Kadek, Niksa Orlic, Tomislav Grubesa, Luka Drmić, Henrik Grosen, Sune Nielsen, Daniel Wennerberg, Viktor Fagerström, Jenny Axén, David Gustafsson, Peter Bauer‐Gottwein

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Optimization study of dynamic emergency feeder bus paths with the sudden interruption of urban railway traffic by Dejie Xu, Huilin Geng, Changwu Hui, Liang Gong, Hang Yuan, Qian Liu

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AlphaFold-based AI docking reveals AMPK/SIRT1-TFEB pathway modulation by traditional Chinese medicine in metabolic-associated fatty liver disease by Lulu Zhang, Yi Zheng, Mingyan Shao, Aiping Chen, Meiyi Liu, Wenlong Sun, Tianxing Li, Yini Fang, Yang Dong, Shipeng Zhao, Hui Luo, Juan Feng, Qi Wang, Lingru Li, Yanfei Zheng

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Integrating CT radiomics and clinical features using machine learning to predict post-COVID pulmonary fibrosis by Qianqian Zhao, Yijie Li, Chunliu Zhao, Ran Dong, Jiaxin Tian, Ze Zhang, Lin Huang, Jingwen Huang, Junhai Yan, Zhitao Yang, Jiangnan Ruan, Ping Wang, Li Yu, Jieming Qu, Min Zhou

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Bioinformatic Methodologies in Assessing Gut Microbiota by James Douglas Fox, Austin Sims, Morgan Ross, Jeffery Bettag, Alexandra Wilder, Dylan Natrop, Alison Borsotti, Sree Kolli, Shaurya Mehta, Hema Verma, Kento Kurashima, Chandrashekhara Manithody, Arun Verma, Ajay Jain

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Potentialities and development of groundwater resources applying machine learning models in the extended section of Manbhum-Singhbhum Plateau, India by Arijit Ghosh, Biswajit Bera

“…The innovation of this study lies in the combination of hydrological, topographical and geological datasets into machine learning platform. This research will support water resource management worldwide.…”
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SGPLane: Efficient lane detection via sampled grid points for autonomous driving by Xuewei Tang, Mengmeng Yang, Kun Jiang, Tuopu Wen, Benny Wijaya, Diange Yang

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E-scooter crash severity in the United Kingdom: A comparative analysis using machine learning techniques and random parameters logit with heterogeneity in means and variances by Ali Agheli, Kayvan Aghabayk, Matin Sadeghi, Subasish Das

“…The increasing use of e-scooters in urban areas has raised safety concerns, necessitating research for effective safety interventions. This study analyzes three years of e-scooter crash data from the United Kingdom using statistical and machine learning methods to identify key factors influencing crash severity. …”
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Bayesian implementation of Rogers–Castro model migration schedules: An alternative technique for parameter estimation by Jessie Yeung, Monica Alexander, Tim Riffe

“…Our approach is formalized in an R package that makes parameter estimation and Bayesian methods more accessible for demographers and other researchers. …”
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A Hybrid Approach to Cloud Data Security Using ChaCha20 and ECDH for Secure Encryption and Key Exchange by Rebwar Khalid Muhammed, Zryan Najat Rashid, Shaida Jumaah Saydah

“…However, this convenience introduces significant security risks due to the reliance on third-party services, raising concerns about data confidentiality and integrity. This research proposes a hybrid encryption model that combines the high-speed ChaCha20 algorithm for data encryption with the Elliptic Curve Diffie-Hellman (ECDH) protocol for secure key exchange. …”
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DAGSLAM: causal Bayesian network structure learning of mixed type data and its application in identifying disease risk factors by Yuanyuan Zhao, Jinzhu Jia

“…Methods This study proposes an extension of the NOTEARS algorithm, termed DAGSLAM, which is designed for Bayesian network structure learning with mixed-type data. …”
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