Dynamics of miRNA expression in urine extracellular vesicles of prostate cancer patients after radical prostatectomy by E. V. Shutko, O. E. Bryzgunova, I. A. Ostal’cev, S. V. Pak, S. E. Krasi’nikov, P. P. Laktionov, M. Yu. Konoshenko

“…Four groups of miRNA ratios can be distinguished: 1) miRNA ratios, which expression level significantly differed between donors and PCa patients before surgery and significantly changed in PCa patients 3 months after prostatectomy in the direction of the level of donors (6 pairs); 2) miRNA ratios, which expression did not significantly differ between donors and PCa patients before surgery, but significantly differed from the baseline in PCa patients and donors 3 months after prostatectomy (5 pairs); 3) miRNA ratios, based on expression ratios of which PCa patients can be divided into two or three significantly different subgroups 3 months after prostatectomy (19 pairs); 4) miRNA ratios that did not significantly change their expression after prostatectomy (30 pairs).Conclusion. …”
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Contrast-enhanced MRI-based intratumoral heterogeneity assessment for predicting lymph node metastasis in resectable pancreatic ductal adenocarcinoma by Junjian Shen, Qing Li, Lei Li, Tianyu Lu, Jun Han, Zongyu Xie, Peng Wang, Zirui Cao, Mengsu Zeng, Jianjun Zhou, Tianzhu Yu, Yaolin Xu, Haitao Sun

“…Abstract Objectives To develop and validate a contrast-enhanced MRI-based intratumoral heterogeneity (ITH) model for predicting lymph node (LN) metastasis in resectable pancreatic ductal adenocarcinoma (PDAC). Methods Lesions were encoded into different habitats based on enhancement ratios at arterial, venous, and delayed phases of contrast-enhanced MRI. …”
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Prediction of HIV status based on socio-behavioural characteristics in East and Southern Africa. by Erol Orel, Rachel Esra, Janne Estill, Amaury Thiabaud, Stéphane Marchand-Maillet, Aziza Merzouki, Olivia Keiser

“…<h4>Methods</h4>We analysed the most recent Demographic and Health Survey from these 10 countries to predict individual's HIV status using four different algorithms (a penalized logistic regression, a generalized additive model, a support vector machine, and a gradient boosting trees). …”
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Evaluation of internal fixation stability of distal humerus C-type fractures based on musculoskeletal dynamics: finite element analysis under dynamic loading by Zhengfeng Jia, Cheng Xu, Weilu Gao, Changsen Yang, Peifu Tang, Jiantao Li

“…Coupling the musculoskeletal dynamics simulation with finite element calculation, the elbow flexion-extension angle-muscle force-inner fixation stress transfer chain was established by AnyBody-Abaqus joint modeling technique to quantify the dynamic thresholds of the interface fracture micromovement (IFM) under different activity angles. …”
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Effects of 8-weeks of training conducted at two ambient temperatures on basic physiological characteristicsand heat stress levels in young, non-training men by Piotr Koteja, Tomasz Pałka, Szczepan Wiecha, Łukasz Tota, Boryana Angelova-Igova, Michał Swolkień, Olga Czerwińska-Ledwig, Małgorzata Bagińska, Paweł Ostrowski, Anna Tyka, Barbara Szpotowicz-Czech, Dorota Ambroży, Agata Czuban-Szlachetka, Anna Piotrowska

“…The aim of this study was to determine the effects of aerobic physical training at two different ambient temperatures of 210.50C and 310.50C on the level of exercise physiological responses of the body in young, non-trained men.Material and Methods: Basic anthropometric measurements were taken, as well as baseline exercise tests to assess aerobic capacity and the efficiency of the body’s exercise thermoregulatory mechanisms. …”
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REDUCE—A Tool Supporting Inconsistencies Reduction in the Decision-Making Process by Paweł Kuraś, Dominik Strzałka, Bartosz Kowal, Patryk Organiściak, Krzysztof Demidowski, Veronika Vanivska

“…The tool accommodates different PC matrices, enabling users to specify the desired CR threshold (e.g., <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>C</mi><mi>R</mi><mo>≤</mo><mn>0.10</mn></mrow></semantics></math></inline-formula>) and select the algorithm for adjustment. …”
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Economic Evaluation of the Next Generation Electronic Medical Records in Singapore: Cost-Utility Analysis by Cynthia Chen, Jarawee Sukmanee, Khai Wee Soon, Julian Lim, Jared Louis Andre D'Souza, Yot Teerawattananon

“… BackgroundWith the vast development of technology and the evolving needs of patients and health care providers, electronic medical records (EMRs) have become a cornerstone for health information. However, different institutions have used different EMR systems. …”
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GLN2 as a key biomarker and therapeutic target: evidence from a comprehensive pan-cancer study using molecular, functional, and bioinformatic analyses by Shuang Gao, Lei Zhang, Guoping Sun

“…Comprehensive studies across multiple cancer types are needed to assess the potential of GNL2 as a diagnostic, prognostic, and immunological marker. Methods mRNA expression data, copy number alteration threshold data, masked copy number segmentation data, and DNA methylation 450 K data from The Cancer Genome Atlas (TCGA) pan-cancer cohort were obtained from the Firehose database. …”
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Angiogenic factors (sFlt-1, PlGF) in twin pregnancy with placentaassociated complications by M. A. Kurtser, L. G. Sichinava, A. O. Alazhazhi, O. A. Latyshkevich, E. V. Nikolaeva

“…Aim: to determine reference values of angiogenic factors dynamics in pregnancy for female patients with twins and different types of placentation for early diagnostics and assessment of preeclampsia (PE) severity.Materials and Methods. …”
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The role of clinical and immunological parameters in predicting the effectiveness of additional immunotropic therapy in oxygen-dependent patients with COVID-19 coronavirus disease by O. V. Riabokon, V. V. Cherkaskyi, Yu. Yu. Riabokon, A. V. Vynokurova

“…JPZ804I382130ARCN10-J). Results. Threshold levels of immunological parameters at different stages of observation, which have prognostic value regarding the risk of a fatal outcome of COVID-19, have been established. …”
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Personalized Treatment Response in Progressive MS: Can the Patient's Profile Influence the Outcome? by Francesca Bovis, Ludwig Kappos, Sophie Arnould, Goeril Karlsson, Maria Pia Sormani

“…The continuous RS was binarized (into responder and non‐responder) based on the threshold representing the top 25% versus the bottom 75% of the continuous score distribution. …”
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Iron deficiency anaemia pathway: leveraging colonoscopy findings to predict panenteric capsule endoscopy outcomes with FIT as a triage tool: interim analysis of the CLEAR IDA multi... by Ian Io Lei, Nicola O'Connell, Michael Adu-Darko, Vishnupriya Suresh, Kiara Mcdonnell, Jessie Newville, Kirsten Chaplin, Omar Khalil, Deekshi Siyambalapityage, Asad Khan, Usman Muhammad, John Emil, Merali Abbas, Zia Kanji, Hamza Alam, Sue Cullen, Aslam Imran, Chander Shekhar, Ramesh Arasaradnam

“…Logistic regression revealed no difference in CCC rates between FIT thresholds of ≤10 and 11–55, but showed significant differences in CCC rates for FIT 56–100 (p=0.024) and FIT >100 (p=0.0044). …”
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Towards 3D Reconstruction of Multi-Shaped Tunnels Utilizing Mobile Laser Scanning Data by Xuan Ding, Shen Chen, Mu Duan, Jinchang Shan, Chao Liu, Chuli Hu

“…This method was experimentally verified by conducting 3D reconstruction tasks involving tunnel point clouds of four different shapes. …”
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Interval analysis-based Bi-iterative algorithm for robust TDOA-FDOA moving source localisation by Ningning Qin, Chao Wang, Changxu Shan, Le Yang

“…This method is developed by utilising the time difference of arrival and frequency difference of arrival measurements of a signals received from several receivers. …”
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A cross-sectional study on occupational exposure to airborne azoxystrobin in tomato greenhouses post-spraying by Rocco MANGIFESTA, Luca COPPETA, Piergiorgio ASTOLFI, Teresa GALANTI, Luca DI GIAMPAOLO

“…Statistical analyses, including the Wilcoxon signed-rank and Mann-Whitney U tests, were performed to evaluate the differences in concentrations over time and between locations. …”
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An intraoperative nomogram for predicting secondary margin positivity in breast conserving surgery utilizing frozen section analysis by Cheng Li, Yan Jiang, Xumiao Wu, Yong Luo, Qi Li

“…No significant statistical differences were found between the sets. LASSO identified six variables to construct the model and corresponding nomogram. …”
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Influencing factors of lymph node metastasis and construction of a nomogram prediction model in elderly patients with early gastric cancer by LIANG Yufei, LI Chunying, ZOU Han, TIAN Liang, LI Xinmeng

“…The clinical impact curve showed that when the threshold was greater than 0.4, the prediction model and the actual occurrence were highly matched. …”
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Association Between Systemic Immunity‐Inflammation Index (SII) and Fatigue, Cancer, and Cancer‐Related Fatigue: Insights From NHANES (2005–2018) by Li Sun, Yanling Wu, Lydia Idowu Akinyemi, Zhiqiu Cao, Zhanhong Fan, Huahua Liu, Ziyi Yang, Leilei Zhang, Feng Zhang

“…The dose–response relationship between SII and outcomes in the four groups was evaluated using restricted cubic splines. Use threshold effect analysis to determine the optimal SII value for each of the three groups. …”
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Angle Estimation for Range-Spread Targets Based on Scatterer Energy Focusing by Zekai Huang, Peiwu Jiang, Maozhong Fu, Zhenmiao Deng

“…Finally, the angle of the energy-focused signal is estimated using the sum-and-difference amplitude comparison method. The proposed method can effectively focus the scatterers’ energy. …”
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Optimizing Automated Hematoma Expansion Classification from Baseline and Follow-Up Head Computed Tomography by Anh T. Tran, Dmitriy Desser, Tal Zeevi, Gaby Abou Karam, Julia Zietz, Andrea Dell’Orco, Min-Chiun Chen, Ajay Malhotra, Adnan I. Qureshi, Santosh B. Murthy, Shahram Majidi, Guido J. Falcone, Kevin N. Sheth, Jawed Nawabi, Seyedmehdi Payabvash

“…This threshold excluded 47–88% of test-negative predictions from expert review of automated segmentations for different HE definitions, with less than 2% false-negative misclassification in both internal and external validation cohorts. …”
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