Intraoperative hypotension prediction in cardiac and noncardiac procedures: is HPI truly worthwhile? A systematic review and meta-analysis by Erfan Shirmohamadi, Reza Hosseini Dolama, Narjes Mohammadzadeh, Navid Ebrahimi, Negar Ghasemloo

“…Methods A comprehensive search was conducted in PubMed, Scopus, Embase, and Web of Science databases for studies published from January 2019 to May 2024. Studies were included if they utilized machine learning algorithms, including HPI, to predict or detect IOH in adult surgical patients. …”
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Health service utilization in immigrants with multiple sclerosis. by Dalia L Rotstein, Ruth Ann Marrie, Karen Tu, Susan E Schultz, Kinwah Fung, Colleen J Maxwell

“…<h4>Background</h4>Access to neurology specialty care can influence outcomes in individuals with multiple sclerosis (MS), but may vary based on patient sociodemographic characteristics, including immigration status.…”
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Day-Ahead Complementary Operation for a Wind-Hydro-Thermal System Considering Multi-Dimensional Uncertainty by Xiaoyu Shi, Rong Jia, Qiang Huang, Guohe Huang, Xuewen Lei, Jiangfeng Li, Bo Ming, Zeqian Zhao, Le Li

“…In this process, excessive pursuit of the lowest risk of wind energy may bring an apparent influence on the economic effect of the multi-energy complementary power generation system because a continuous imbalance between demand and supply may lead to wind curtailment. …”
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Care for Pediatric Patellofemoral Instability Prior to Orthopaedic Referral by Emily Qian, MS, Ally A. Yang, MD, Halle Freiman, MD, MS, Corinna Franklin, MD

“…Key Concepts: (1) Identifying clinician groups referring to orthopaedic practices for pediatric patellofemoral instability (PFI) events. (2) Describing evaluations and treatments pursued by clinicians for pediatric PFI events prior to orthopaedic referral. (3) Algorithm-based approaches are more adherent to current proposed pediatric PFI management guidelines. (4) Education of referring clinicians may help to improve surgical outcomes. …”
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Neutrophil extracellular traps-related genes contribute to sepsis-associated acute kidney injury by Tang Shaoqun, Yu Xi, Wang Wei, Luo Yaru, Lei Shaoqing, Qiu Zhen, Yang Yanlin, Sun Qian, Xia Zhongyuan

“…Abstract Background Neutrophil extracellular traps (NETs) and oxidative stress (OS) may be involved in sepsis-associated acute kidney injury (SA-AKI). …”
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The Suitability of the CdC field Triage for Korean Trauma Care by Kang Kook Choi, Myung Jin Jang, Min A Lee, Gil Jae Lee, Byungchul Yoo, Youngeun Park, Jung Nam Lee

“…The Korean trauma system (established in 2014) uses the trauma field triage algorithm of the United States Centers for Disease Control and Prevention (CDC). …”
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Transitional lumbosacral vertebrae and low back pain: diagnostic pitfalls and management of Bertolotti's syndrome Dor lombar associada à vértebra de transição lombossacra: dificuld... by Daniel Benzecry de Almeida, Tobias Alécio Mattei, Marília Grando Sória, Mirto Nelso Prandini, André Giacomelli Leal, Jerônimo Buzzeti Milano, Ricardo Ramina

“…In patients in whom the mega-apophysis itself may be the source of back pain, surgical resection may be a safe and effective procedure.…”
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Linking patterns to processes: Using hunting bag data to classify raccoon (Procyon lotor) invasion stages in Germany since the 2000s by Sarah Cunze, Gaby Schneider, Norbert Peter, Sven Klimpel

“…Densely populated areas in late phases may act as sources of immigration. Individuals may migrate to neighboring areas where they initiate or support the invasion process. …”
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No reliable gray matter alterations in idiopathic dystonia by Zhen-Yu Wang, Fei Chen, Hai-Hua Sun, Hua-Liang Li, Jian-Bin Hu, Zhen-Yu Dai, Shu Wang

“…The findings suggest that using GM volume assessed by VBM as an imaging marker for ID may not be reliable. This could be attributed to ID being a functional disorder, or the inconsistency in GM alterations may be influenced by demographic and clinical variations, differences in imaging protocols and analysis methods, or small sample sizes. …”
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A novel, non-invasive AI-based telemonitoring system for heart failure: detection of undiagnosed hyperthyroidism in an asymptomatic patient by Allan Böhm, Julia Lucka, Amitai Segev, Marta Kollarova, Stefan Toth, Nikola Jajcay, Branislav Bezak

“…Background: Untreated thyroid disorders may precipitate heart failure (HF) decompensation. …”
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Integration of Microarray Data and Single-Cell Sequencing Analysis to Explore Key Genes Associated with Macrophage Infiltration in Heart Failure by Rao J, Wang X, Wang Z

“…An unsupervised consensus clustering algorithm was applied to identify the macrophage-related HF subtypes. …”
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Soil Carbon Remote Sensing: A Meta-Analysis and Systematic Review of Published Results from 1969–2022 by Savannah L. McGuirk, Iver H. Cairns

“…Fourth, the R² of non-parametric models (mean R² in 2022 = 0.58, n = 117) has declined more rapidly (decrease of 1.3% per year) since 1969 (mean R² in 1969 = 0.74, n = 1) than the R² of parametric models (decrease of 0.4% per year), suggesting that the algorithm applied during soil carbon modelling may be of importance. …”
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Assessment of Cognitive Function with Sleep Spindle Characteristics in Adults with Epilepsy by Yajin Huang, Yaqing Liu, Wenjun Song, Yanjun Liu, Xiaoqian Wang, Juping Han, Jiang Ye, Hongmei Han, Li Wang, Juan Li, Tiancheng Wang

“…Objective. Epilepsy may cause chronic cognitive impairment by disturbing sleep plasticity. …”
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Research on Newton-Krylov Method for Multi-component Flow Heat Transfer Coupled System of High-temperature Gas-cooled Reactor by TANG Huanran, ZHANG Han, LIU Lixun, PENG Xinru, WU Yingjie, GUO Jiong, LI Fu

“…The corrosion of the graphite of fuel pebbles may lead to leakage of radioactive material, and the corrosion of the core components may lead to a reduction in the mechanical strength of the core. …”

In Silico Evaluation of Terpene Interactions with Inflammatory Enzymes: A Blind Docking Study Targeting Arachidonic Acid Metabolism by Djeni Cherneva, Kaloyan Mihalev, Ivelin Iliev, Nadya Agova, Galina Yaneva, Tsonka Dimitrova, Svetlana Georgieva

“…These targeted interactions suggest that the highlighted compounds may selectively interfere with enzymatic activity in inflammation-related pathways. …”
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Machine-learning detection of stress severity expressed on a continuous scale using acoustic, verbal, visual, and physiological data: lessons learned by Marketa Ciharova, Khadicha Amarti, Ward van Breda, Ward van Breda, Martin J. Gevonden, Sina Ghassemi, Annet Kleiboer, Christiaan H. Vinkers, Christiaan H. Vinkers, Christiaan H. Vinkers, Christiaan H. Vinkers, Milou S. C. Sep, Milou S. C. Sep, Milou S. C. Sep, Milou S. C. Sep, Sophia Trofimova, Alexander C. Cooper, Xianhua Peng, Xianhua Peng, Mieke Schulte, Mieke Schulte, Eirini Karyotaki, Eirini Karyotaki, Eirini Karyotaki, Pim Cuijpers, Pim Cuijpers, Pim Cuijpers, Heleen Riper, Heleen Riper

“…BackgroundEarly detection of elevated acute stress is necessary if we aim to reduce consequences associated with prolonged or recurrent stress exposure. Stress monitoring may be supported by valid and reliable machine-learning algorithms. …”
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Interpretable multiparametric MRI radiomics-based machine learning model for preoperative differentiation between benign and malignant prostate masses: a diagnostic, multicenter st... by Wenjun Zhou, Wenjun Zhou, Zhangcheng Liu, Zhangcheng Liu, Jindong Zhang, Shuai Su, Yu Luo, Lincen Jiang, Kun Han, Guohua Huang, Jue Wang, Jianhua Lan, Delin Wang

“…ObjectiveThe study aimed to develop and externally validate multiparametric MRI (mpMRI) radiomics-based interpretable machine learning (ML) model for preoperative differentiating between benign and malignant prostate masses.MethodsPatients who underwent mpMRI with suspected malignant prostate masses were retrospectively recruited from two independent hospitals between May 2016 and May 2023. The prostate mass regions in T2-weighted imaging (T2WI) and diffusion-weighted imaging (DWI) MRI images were segmented by ITK-SNAP. …”
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In-vitro diagnostic point-of-care tests in paediatric ambulatory care: A systematic review and meta-analysis. by Oliver Van Hecke, Meriel Raymond, Joseph J Lee, Philip Turner, Clare R Goyder, Jan Y Verbakel, Ann Van den Bruel, Gail Hayward

“…Point-of-care tests (POCTs) may offer a potential solution to improve clinical outcomes for children by reducing diagnostic uncertainty in acute illness, and streamlining management of chronic diseases. …”
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Dynamic Spectrum Coexistence of NR-V2X and Wi-Fi 6E Using Deep Reinforcement Learning by Kashish D. Shah, Dhaval K. Patel, Brijesh Soni, Siddhartan Govindasamy, Mehul S. Raval, Mukesh Zaveri

“…Most existing works on coexistence rely on rule-based approaches or classical machine learning algorithms. These approaches may fall short in real-time environments where adaptive decision-making is required. …”
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FlyPhoneDB2: A computational framework for analyzing cell-cell communication in Drosophila scRNA-seq data integrating AlphaFold-multimer predictions by Mujeeb Qadiri, Ying Liu, Ah-Ram Kim, Myeonghoon Han, Eric Zhou, Austin Veal, Tzu-Chiao Lu, Hongjie Li, Yanhui Hu, Norbert Perrimon

“…We show that FlyPhoneDB2 not only recapitulates established biological insights into the Drosophila Yorkie tumor model, but also identifies novel potential L-R pairs that may play important roles in tumor-induced cachexia. …”
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