The functional insight into the genetics of cardiovascular disease: results from the post-GWAS study by L. O. Bryzgalov, E. E. Korbolina, I. S. Damarov, T. I. Merkulova

“…Cardiovascular diseases (CVDs), the leading cause of death worldwide, generally refer to a range of pathological conditions with the involvement of the heart and the blood vessels. …”
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Application of the Bidirectional Encoder Representations from Transformers Model for Predicting the Abbreviated Injury Scale in Patients with Trauma: Algorithm Development and Vali... by Jun Tang, Yang Li, Keyu Luo, Jiangyuan Lai, Xiang Yin, Dongdong Wu

“…ObjectiveThis study aims to use advanced deep learning techniques to predict AIS codes based on easily accessible diagnostic information of patients to improve the accuracy of trauma assessment. …”
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A 6-tsRNA signature for early detection, treatment response monitoring, and prognosis prediction in diffuse large B cell lymphoma by Jun Rao, Lin Xia, Qiong Li, NaYa Ma, Xinlei Li, Jiali Li, Lidan Zhu, Pan Zhao, Yunjing Zeng, Sha Zhou, Huanping Guo, Shijia Lin, Song Dong, Shifeng Lou, Fangyi Fan, Jin Wei, Jiang F. Zhong, Li Gao, Shengwen Calvin Li, Xi Zhang

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HD-6mAPred: a hybrid deep learning approach for accurate prediction of N6-methyladenine sites in plant species by Huimin Li, Wei Gao, Yi Tang, Xiaotian Guo

“…Although existing methods have achieved great success, there remains a pressing need for improved prediction accuracy and generalization cap ability across diverse species. …”
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Integrating a Virtual ICU with Cardiac and Cardiovascular ICUs: Managing the Needs of a Complex and High-Acuity Specialty ICU Cohort by Atiya Dhala, Mario V Fusaro, Faisal Uddin, Divina Tuazon, Steven Klahn, Roberta Schwartz, Farzan Sasangohar, Jefferson Alegria, Faisal Masud

“…Due to their complex and high-acuity nature, cardiac, cardiovascular, and cardiothoracic intensive care units (ICUs) have generally been limited in their ability to leverage tele-critical care resources. …”
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Integrating multiple precision livestock technologies to advance rangeland grazing management by Lillian J. McFadden, Hector M. Menendez, Krista Ann Ehlert, Jameson R. Brennan, Ira L. Parsons, Ken Olson

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Gut microbiota orchestrates skeletal muscle development and metabolism in germ-free and SPF pigs by Zhengjie Li, Mingxing Wen, Chuang Tang, Shuangshuang Chen, Die Tang, Jinwei Zhang, Jinwei Zhang, Jinwei Zhang, Jing Sun, Jing Sun, Jing Sun, Liangpeng Ge, Liangpeng Ge, Liangpeng Ge, Keren Long, Lu Lu, Long Jin, Mingzhou Li, Xuewei Li, Jideng Ma

“…RNA-seq analysis revealed that the expression levels of protein-coding genes (PCGs) and LncRNAs in the muscles of GF pigs were generally reduced, with LncRNAs exhibiting more pronounced dynamic changes. …”
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Forecast Padding Enhances Accuracy and Robustness of EEG-Phase-Synchronized TMS by Yu-Cheng Chang, Pin-Hsuan Chao, Yan-Ming Kuan, Chiu-Jung Huang, Li-Fen Chen, Wei-Chung Mao, Tung-Ping Su, Sin-Horng Chen, Chun-Shu Wei

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Prediction model of in-hospital mortality risk in intensive care unit patients with cardiac arrest: a multicenter retrospective cohort study based on an ensemble model by Li Liu, Wei-Wei Lai, Bo-Wen Li, Shu-Hang Wang, Mu-Ming Yu, Yan-Cun Liu, Yan-Fen Chai

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Fragmenstein: predicting protein–ligand structures of compounds derived from known crystallographic fragment hits using a strict conserved-binding–based methodology by Matteo P. Ferla, Rubén Sánchez-García, Rachael E. Skyner, Stefan Gahbauer, Jenny C. Taylor, Frank von Delft, Brian D. Marsden, Charlotte M. Deane

“…We show that an algorithmic approach (Fragmenstein) that ‘stitches’ the ligand atoms from this structural information together can provide more accurate and reliable predictions for protein–ligand complex conformation than general methods such as pharmacophore-constrained docking. …”
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Development and Validation of a Routine Electronic Health Record-Based Delirium Prediction Model for Surgical Patients Without Dementia: Retrospective Case-Control Study by Emma Holler, Christina Ludema, Zina Ben Miled, Molly Rosenberg, Corey Kalbaugh, Malaz Boustani, Sanjay Mohanty

“…However, existing POD prediction models require inpatient data collected during the hospital stay, which delays predictions and limits scalability. …”
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A novel method for treating MAR in EMC3-Eirene, and first applications to W7-X by Y. Feng, D. Reiter, H. Frerichs, the W7-X Team

“…This paper presents a novel ‘prediction-correction method’ for treating molecule-assisted recombination (MAR) in the three-dimensional (3D) boundary plasma transport code—EMC3-Eirene. …”
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Baseline Cardiac Biomarker Levels as Predictors of Cancer Risk in the MESA Cohort by Xinjiang Cai, MD, PhD, Quinn White, BA, W. Craig Johnson, MS, Spencer L. Hansen, PhD, Zeina A. Dardari, PhD, Michael Blaha, MD, Erin D. Michos, MD, MHS, Joao AC. Lima, MD, Christopher R. deFilippi, MD, Matthew J. Budoff, MD, Karol E. Watson, MD, PhD, Robyn L. McClelland, PhD, Eric H. Yang, MD

“…Higher incidence rates for all cancers were generally associated with higher baseline hs-cTnT and NT-proBNP levels, especially in the highest quartiles. …”
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Experimental and numerical study of eccentrically loaded UHPFRC slender columns by Ahmed M. Yousef, Hamed S. Askar, Nada O. Halawa

“…The moment magnification method used in ACI 318-19 generally overestimates the predictions of 2nd-order moments for slender UHPFRC columns. …”
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Error Data Analytics on RSS Range-Based Localization by Shuhui Yang, Zimu Yuan, Wei Li

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Improving Sharpness-Aware Minimization Using Label Smoothing and Adaptive Adversarial Cross-Entropy Loss by Tanapat Ratchatorn, Masayuki Tanaka

“…Recent advances in learning algorithms have identified loss surface sharpness as an effective metric for reducing the generalization gap. Building on this principle, Sharpness-Aware Minimization (SAM) was introduced to improve model generalization and has achieved state-of-the-art performance through its weight perturbation and updating steps. …”
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Machine learning-based cotton yield forecasting under climate change for precision agriculture by Muhammad Umair Shahzad, Sana Tahir, Javed Rashid, Osama A. Khashan, Rashid Ahmad, Sheikh Mansoor, Anwar Ghani

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Hospital frailty risk score in predicting outcomes after simultaneous colon and liver resection for colorectal cancer liver metastasis in older adults: Evidence from the Nationwide... by Haohao Huang, Weidong Jin, Huiling Sun, Bo Diao, Ping Wang, Jiankun Jia, Dandan Ma, Yi Zhang

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Exploration of key genes associated with oxidative stress in polycystic ovary syndrome and experimental validation by Qinhua Li, Qinhua Li, Qinhua Li, Lei Liu, Yuhan Liu, Yuhan Liu, Yuhan Liu, Yuhan Liu, Tingting Zheng, Tingting Zheng, Tingting Zheng, Ningjing Chen, Ningjing Chen, Ningjing Chen, Peiyao Du, Peiyao Du, Peiyao Du, Hong Ye, Hong Ye, Hong Ye

“…The molecular regulatory network uncovered that both TNFSF10 and CBL are regulated by non-coding RNAs. Additionally, 70 potential therapeutic drugs for PCOS were predicted, with ibuprofen associated with DDIT3 and IFNG. …”
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Risk factors of 180-day rebleeding after management of blunt splenic injury without surgery and embolization: a national database study by Chung-Yen Chen, Hung-Yu Lin, Pie-Wen Hsieh, Yi-Kai Huang, Po-Chin Yu, Jian-Han Chen

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