Efficiency and safety of peripheral regional anesthesia application in urgent traumatology by O. A. Lovkin, V. I. Pertsov, K. I. Lurie

“…The study analyzed the duration of plexus and nerves location, block onset time, the duration of motor and sensory block; hemodynamics monitoring with the help of UM-300 monitor at the study stages; complications were recorded. Statistical analysis of the data included descriptive statistics methods. …”
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Application of collaborative innovation between the logical brain and the associative brain in oil and gas gathering and transportation systems by Jing GONG, Siheng SHEN, Daqian LIU, Qi KANG, Shangfei SONG, Haihao WU, Bohui SHI

“…The effectiveness of the logical brain and associative brain synergy mechanism in the construction of intelligent oil-gas gathering and transportation systems was validated through three case studies: virtual metering of oil wells, production optimization for an oil-gas field, and fault attribution analysis for a transfer station. ConclusionThe dual-brain synergy mechanism is based on the integration of mechanisms and data, which ensures model accuracy while enhancing prediction speed, computational efficiency, and fault diagnosis accuracy. …”
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Clinical implementation of minimally invasive esophagectomy by Heinz Wykypiel, Philipp Gehwolf, Katrin Kienzl-Wagner, Valeria Wagner, Andreas Puecher, Thomas Schmid, Fergül Cakar-Beck, Aline Schäfer

“…Methods: Retrospective analysis of prospectively collected clinical data in a tertiary care center with a detailed description of the course of the program. …”
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Prediction of EGFR mutation status in non-small cell lung cancer based on CT radiomic features combined with clinical characteristics by YANG Taotao, WANG Xianqi, CHEN Cancan

“…Methods‍　‍A multi-center case-control study was conducted on the clinical data and CT images of 1 070 NSCLC patients from the radiology departments of the 3 medical institutions between January 2013 and October 2023. …”
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Artificial intelligence-assisted echocardiographic monitoring in pediatric patients on extracorporeal membrane oxygenation by Weiling Chen, Jinhui Wu, Zhenxuan Zhang, Zhifan Gao, Xunyi Chen, Yu Zhang, Zhou Lin, Zijian Tang, Wei Yu, Shumin Fan, Heye Zhang, Bei Xia

“…However, echocardiographic determination of the ejection fraction (EF) by manual tracing of the endocardial borders is time consuming and operator dependent. The standard visual assessment is also an inherently subjective procedure. …”
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The effect of lumbar multifidus muscle degeneration on upper lumbar disc herniation by Bingwen Wang, Lifei Xu, Peng Teng, Lin Nie, Lin Nie, Hongwei Yue

“…For inter-group comparisons, we used the t-test, analysis of variance (ANOVA), Mann–Whitney U test, Kruskal–Wallis test, chi-square test, or Fisher's exact test, according to the type of data. …”
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Determinants of Breast Nodules in Perimenopausal Women: A Prospective Cohort Study by Xue Lei, Jing Mu, Guiyue Lei, Ke Liu, Dian Wang, Laigang Zhao, Lin Yang

“…The predictive accuracy and discriminative ability of the model for perimenopausal breast nodules were evaluated in both the modeling and validation groups using goodness-of-fit curves and receiver operating characteristic (ROC) analysis. …”
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Perfusion index as a predictor of hypotension after spinal anesthesia in lower extremity orthopedic surgery: a prospective observational trial by Fatma Kavak Akelma, Milas Mafizer, Burak Nalbant

“…Intraoperatively, hemodynamic variables and PI values were monitored, along with any potential complications. Results The final analysis comprised 101 patients. Except for age, ASA, and operation type, demographic characteristics were similar in both groups. …”
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Identification of Factors Affecting Project Financing Risk by Gholamreza Sharafi, Kiamars Fathi Hafashjani, Faegh Ahmadi

“…Variables were identified using the content analysis method, which involved utilizing MAXQDA software for theoretical and qualitative data analysis.   …”
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Association between stress hyperglycemia ratio (SHR) and long-term mortality in patients with ischemic stroke: a retrospective cohort study by Man Huang, Wan Wang, Dong-mei Ren, Yan-qing Chen, Ying Li, Yan Li, Wu-lin Li, Fei Wang

“…This study aimed to elucidate the connection between SHR and long-term mortality in IS patients, while also investigating the impact of stratification status on this relationship. Methods Data regarding IS patients were extracted from our medical institution’s undisclosed internal stroke database, spanning from January 2016 to December 2023. …”
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Trends in incidence, mortality, and conditional survival of anaplastic thyroid cancer over the last two decades in the USA by Hongpeng Guo, Junjie Zhang, Yuanji Jia, Zongfeng Liu, Ying Qi, Chenglin Sun, Zhencun Cai, Ji Wu

“…BackgroundAnaplastic thyroid carcinoma (ATC) is a highly aggressive malignancy, and there is currently a lack of up-to-date epidemiological data. Traditional survival analysis fails to capture the dynamic changes in prognosis for long-term survivors, while conditional survival (CS) analysis, a critical tool for adaptive risk stratification, remains underexplored in ATC.MethodsPatients diagnosed with ATC between 2000 and 2021 were identified from the Surveillance, Epidemiology, and End Results (SEER) database. …”
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An investigation of the relationship between sPD-1, sPD-L1 and severe pneumonia patients admitted to ICU and its clinical significance by Zirong Gao, Zirong Gao, Yanhui Lu, Shanshan Yu, Bao Fu

“…The predictive performance of sPD-1, sPD-L1, and their combined indices was evaluated using receiver operating characteristic (ROC) curve analysis.ResultsA total of 125 patients with severe pneumonia (SP) were included in this study. …”
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Presenting a Leadership Empowerment Model through Sense-making by Using the Cognitive and Behavioral Scripts by Hamid Zare, Aliasghar Pourezzat, Hasan Zareei Matin, Arezoo Salmani

“…Following the meticulous collection of data, the responses were carefully coded, rigorously analyzed, and the insightful findings subsequently implemented. …”
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Question–Answer Methodology for Vulnerable Source Code Review via Prototype-Based Model-Agnostic Meta-Learning by Pablo Corona-Fraga, Aldo Hernandez-Suarez, Gabriel Sanchez-Perez, Linda Karina Toscano-Medina, Hector Perez-Meana, Jose Portillo-Portillo, Jesus Olivares-Mercado, Luis Javier García Villalba

“…By employing Few-Shot Learning (FSL), Proto-MAML identifies and mitigates vulnerabilities with minimal data requirements, aligning with the principles of the Secure Development Lifecycle (SDLC) and Development, Security, and Operations (DevSecOps). …”
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Integrating bioinformatics and machine learning to identify glomerular injury genes and predict drug targets in diabetic nephropathy by Li Zhang, ZhenPeng Sun, Yao Yuan, Jie Sheng

“…The external dataset GSE96804 served to validate the identified biomarkers, while receiver operating characteristic (ROC) curve analysis assessed their diagnostic efficacy for DN. …”
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A cross-sectional study of evaluating cervical spondylotic myelopathy based on gait and plantar pressures by Xuhong Zhang, Zichuan Wu, Hanlin Song, Aochen Xu, Junbin Liu, Junzhe Sheng, Baifeng Sun, Min Qi, Chen Xu, Yang Liu

“…Receiver operating characteristic (ROC) curve analysis, area under the curve (AUC), and the Youden index were employed to determine cut-off values for gait-related indicators. …”
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Deciphering molecular landscape of breast cancer progression and insights from functional genomics and therapeutic explorations followed by in vitro validation by Bushra Khan, Rowaid Qahwaji, Mashael S. Alfaifi, Tanwir Athar, Abdullah Khan, Mohammad Mobashir, Ibraheem Ashankyty, Khalid Imtiyaz, Areej Alahmadi, M. Moshahid A. Rizvi

“…Using Weighted Gene Co-expression Network Analysis (WGCNA), we built a comprehensive network combining clinical and phenotypic data from both DCIS and IDC. …”
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MicroRNA–target cross-talks: Key players in glioblastoma multiforme by Eman Ali Toraih, Nagwa Mahmoud Aly, Hoda Y Abdallah, Saeed Awad Al-Qahtani, Aly AM Shaalan, Mohammad Hosny Hussein, Manal Said Fawzy

“…Receiver operating characteristic analysis revealed that miR-34a (area under the curve = 0.927) and miR-17 (area under the curve = 0.900) had the highest diagnostic performance, followed by miR-221 (area under the curve = 0.845), miR-21 (area under the curve = 0.836), WNT5A (area under the curve = 0.809), PDCD4 (area under the curve = 0.809), and PI3KCA (area under the curve = 0.800). …”
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eidos: A modular approach to external function integration in LLMs by José F. Aldana-Martín, Antonio Benítez-Hidalgo, José F. Aldana-Montes

“…Function calling allows Large Language Models (LLMs) to execute a wide range of tasks, from data analysis and mathematical computations to interacting with web services and other software systems. …”
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Online identification of stability region for large-scale wind farms, Part I: Clustering based piecewise affine impedance modeling by Jia Luo, Peng Wang, Haoran Zhao, Chenxinwei Yuan, Tiancheng Liu, Vladimir Terzija

“…Besides, impedance recalculation is needed under varying operating points. This study proposes a piecewise affine method for impedance modeling and identification under diverse operating points. …”
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