A Novel Severity Score Index for Febrile Neutropenic Patients with Colorectal Diseases by Camila Perazzoli, Rogério S. Parra, Marley R. Feitosa, Enrico Sfoggia, Belinda Pinto Simões, José J. R. Rocha, Omar Féres

“…The proposed scoring system allows prediction of the likelihood of death during hospitalization for febrile neutropenic patients with an abdominal and anorectal focus. …”
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Prognostic Utility of the Combination of Platelet Count with Neutrophil-to-Lymphocyte Ratio in Aged Patients with Acute Myocardial Infarction Undergoing Percutaneous Coronary Inter... by Xiao-Qing Quan, Hong-Yan Ji, Jie Jiang, Jia-Bao Huang, Cun-Tai Zhang

“…Our study was to investigate the role of a novel biomarker, the combination of platelet count, and neutrophil-to-lymphocyte ratio, for predicting in-hospital and long-term mortality of aged patients with acute myocardial infarction. …”
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Hypercapnic Ventilatory Response in the Weaning of Patients with Prolonged Mechanical Ventilation by Chung-Shu Lee, Ning-Hung Chen, Li-Pang Chuang, Chih-Hao Chang, Li-Fu Li, Shih-Wei Lin, Hsiung-Ying Huang

“…PMV subjects who failed weaning had a lower hypercapnic ventilatory response than successfully weaned subjects. However, the prediction capacity of this test, assessed by the area under the receiver operating characteristic (ROC) curve, poorly predicted weaning outcome.…”
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A New Deep Learning-Based Method for Automated Identification of Thoracic Lymph Node Stations in Endobronchial Ultrasound (EBUS): A Proof-of-Concept Study by Øyvind Ervik, Mia Rødde, Erlend Fagertun Hofstad, Ingrid Tveten, Thomas Langø, Håkon O. Leira, Tore Amundsen, Hanne Sorger

“…The average processing and prediction time for a sequence of ten images was 0.65 ± 0.04 s, demonstrating the feasibility of real-time applications. …”
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A Novel Prognostic Signature Revealed the Interaction of Immune Cells in Tumor Microenvironment Based on Single-Cell RNA Sequencing for Lung Adenocarcinoma by Xing Jin, Zhengyang Hu, Qihai Sui, Mengnan Zhao, Jiaqi Liang, Zhenyu Liao, Yuansheng Zheng, Hao Wang, Yu Shi

“…The significance of clinical outcome and immunotherapy response prediction was validated robustly.…”
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Unveiling the new chapter in nanobody engineering: advances in traditional construction and AI-driven optimization by Jiwei Liu, Lei Wu, Anqi Xie, Weici Liu, Zhao He, Yuan Wan, Wenjun Mao

“…AI’s exceptional performance in protein structure prediction and molecular interaction simulation has introduced novel perspectives and tools for Nb design and optimization. …”
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Elevated levels of serum alpha-2-macroglobulin associate with diabetes status and incident CVD in type 1 diabetes by Baohai Shao, Janet K. Snell-Bergeon, Ian H. de Boer, W. Sean Davidson, Karin E. Bornfeldt, Jay W. Heinecke

“…After adjusting for potential confounders, A2M independently predicted incident CVD, with a mean hazard ratio of 3.3 and 95% CI of 1.8–6.1. …”
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Evaluation of diastole by echocardiography for detecting early cardiac dysfunction: an outcome study by Tatiana Kuznetsova, Nicholas Cauwenberghs, František Sabovčik, Yukari Kobayashi, Francois Haddad

“…Conclusions Our study underscored the importance of considering age‐ and population‐derived thresholds in LVDDF grading in subjects at high cardiovascular risk which led to a better risk stratification and outcome prediction.…”
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Simulation of Software Development Team Productivity Incorporating Social and Human Factors: A System Dynamics Model by Luz Marcela Restrepo-Tamayo, Gloria Piedad Gasca-Hurtado, Johnny Valencia-Calvo

“…By taking a systemic approach, the model introduces new ways to identify dynamic behaviors and facilitates the prediction of possible scenarios in the evolution of tasks, which helps work teams manage their risks. …”
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Electrically Controlled Rotor Blade Vortex Interaction Airloads and Noise Analysis Using Viscous Vortex Particle Method by Taoyong Su, Yang Lu, Jinchao Ma, Shujun Guan

“…Based on the present prediction model, the aerodynamic and acoustic characteristics of a sample ECR in BVI condition are analyzed. …”
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Relations phénotypiques et génétiques entre les caractères de production laitière et le poids du veau à la naissance chez la vache Azawak du Niger by Ibrahim Adamou Karimou

“…Objectif : Afin de développer un modèle de prédiction des valeurs d’élevage de candidats reproducteurs améliorateurs en lait et en viande, cette étude avait pour objectif d’analyser l’influence génétique d’une sélection pour les performances pondérales, sur la productivité laitière de cette race. …”
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Observation and Simulation of Wind Speed and Wind Power Density over Bac Lieu Region by Hiep Van Nguyen, Pham Xuan Thanh, Nguyen Duc Nam, Nguyen Xuan Anh, Pham Le Khuong, Hoang Hai Son, Nguyen Tien Manh, Pham Chi Cong

“…The model initial and boundary conditions are from the National Centers for Environmental Prediction (NCEP) Final Analyses (FNL). Observation data for two years at 20 m height at Bac Lieu station were used for model bias correction and investigating diurnal and annual variation of wind speeds. …”
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Balancing Privacy and Utility in Split Learning: An Adversarial Channel Pruning-Based Approach by Afnan Alhindi, Saad Al-Ahmadi, Mohamed Maher Ben Ismail

“…Specifically, adversarial learning aims to minimize the risk of sensitive data leakage while maximizing the performance of the target prediction task. Furthermore, the channel pruning performed jointly with the adversarial training allows the model to dynamically adjust and reactivate the pruned channels. …”
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Correlation between acute mountain sickness and body constitution of Tibetan medicine and other factors: A case–control study by Hui Luo, Qian Wang, Dan Re

“…Objective: This study aimed to determine the correlation between the incidence of acute mountain sickness (AMS) and the body constitution of Tibetan medicine and other relevant factors to provide a reference for the prediction and prevention of AMS. Methods: A case–control study was conducted to recruit participants who experienced or did not experience AMS after entering a plateau. …”
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An integrated strength-carbon emissions-total cost model for silica fume concrete by Li-Yi Meng, Yi-Sheng Wang, Feng Sun, Runsheng Lin, Xiao-Yong Wang

“…Through linear regression, a compressive strength prediction formula for SF concrete with varying water-cementitious material mass ratios (0.79–0.45), different SF contents (0–20 %), and curing ages (1–365 days) was developed. …”
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A Combined Numerical and Experimental Study of Heat Transfer in a Roughened Square Channel with 45∘ Ribs by M. E. Taslim, H. Liu

“…Test results showed that (a) 45∘ angled ribs with high blockage ratios (>0.2) at elevated Reynolds numbers do not exhibit a good thermal performance, that is, beyond this blockage ratio, the heat transfer coefficient decreases with the rib blockage and (b) CFD could be considered as a viable tool for the prediction of heat transfer coefficients in a rib-roughened test section.…”
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Evaluating empirical and machine learning approaches for reference evapotranspiration estimation using limited climatic variables in Nepal by Erica Shrestha, Suyog Poudyal, Anup Ghimire, Shrena Maharjan, Manoj Lamichhane, Sushant Mehan

“…Notably, all ML models outperformed empirical models, with clustering of weather stations further reducing prediction error in ET0 estimation by 10 to 18 %. These findings demonstrate the potential of ML models for accurate ET0 estimation with limited data, supporting agricultural water management and enhancing resilience in water-stressed areas.…”
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On the Ionosphere–Atmosphere–Lithosphere Coupling During the 9 November 2022 Italian Earthquake by Mirko Piersanti, Giulia D’Angelo, Dario Recchiuti, Fabio Lepreti, Paola Cusano, Enza De Lauro, Vincenzo Carbone, Pietro Ubertini, Mariarosaria Falanga

“…This research contributes to a deeper understanding of Lithosphere–Atmosphere–Ionosphere–Magnetosphere coupling mechanisms and the potential for developing reliable earthquake prediction tools.…”
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Integrating radiological and clinical data for clinically significant prostate cancer detection with machine learning techniques by Luis Mariano Esteban, Ángel Borque-Fernando, Maria Etelvina Escorihuela, Javier Esteban-Escaño, Jose María Abascal, Pol Servian, Juan Morote

“…Abstract In prostate cancer (PCa), risk calculators have been proposed, relying on clinical parameters and magnetic resonance imaging (MRI) enable early prediction of clinically significant cancer (CsPCa). …”
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Thermal-Moisture Dynamics at Different Underlying Surfaces in Permafrost Regions of the Central Tibetan Plateau by considering the Effect of Rainfall by Bingbing Lei, Bin Wang, Mingli Zhang, Zhixiong Zhou, Guang Li, Guodong Yue

“…The results can provide theoretical and simulated guidance for the stability prediction and analysis of various underlying surfaces in the central QTP where rainfall is increasing.…”
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