Prediction of antioxidant capacity, age, and sex on sleep impairment in patients with amyotrophic lateral sclerosis by David Sancho-Cantus, Elena Sanchis Sanchis, Julia Casani-Cubel, Jesús Privado, Jesús Escriba, Ana Belén Carriquí-Suárez, María Benlloch, José Joaquín Cerón, Camila Peres Rubio, Laura Cubero-Plazas, José Enrique de la Rubia Ortí

“…Therefore, this study aimed to determine the predictive role of antioxidant capacity, psychological distress, age, and sex on sleep impairment in an adult population of patients with ALS. …”
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Predicting Workplace Hazard, Stress and Burnout Among Public Health Inspectors: An AI-Driven Analysis in the Context of Climate Change by Ioannis Adamopoulos, Antonios Valamontes, Panagiotis Tsirkas, George Dounias

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Predictive Value of the Estimation of Physiologic Ability and Surgical Stress Scoring System for Postoperative Lymphocele Formation in Patients with Endometrial Cancer by Hui Lu, Zhen Hu, Junqiang Du

“…Methods: In this retrospective cohort study conducted at Dongyang Hospital affiliated with Wenzhou Medical University, China, we analyzed 180 patients with endometrial cancer who underwent radical surgery between 2012 and 2023. We evaluated the predictive performance of E-PASS components: preoperative risk score (PRS), surgical stress score (SSS), and comprehensive risk score (CRS). …”
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Prediction of Pilot Performance During Startle Events Based on Neuropsychophysiological Features of Stress Resilience and Cognitive Task Scores by Mate Gambiraza, Sinisa Popovic, Matej Kurtak, Tanja Jovanovic, Seth Norrholm, Kresimir Cosic

“…Accordingly, this study investigates the potential of optimally selected stress resilience features and cognitive task scores to predict pilot performance during startle events. …”
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The efficacy of an inquiry-based stress reduction program on self-compassion and compassion for others in undergraduate nursing students by Mahboobeh Jamali, Jamileh Farokhzadian, Mahya Torkaman, Sakineh Miri

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Cytotoxicity of citral against melanoma cells: The involvement of oxidative stress generation and cell growth protein reduction by Larissa Juliani Sanches, Poliana Camila Marinello, Carolina Panis, Tatiane Renata Fagundes, José Andrés Morgado-Díaz, Julio Cesar Madureira de-Freitas-Junior, Rubens Cecchini, Alessandra Lourenço Cecchini, Rodrigo Cabral Luiz

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Stress Hyperglycemia Ratio and Hemoglobin to RDW Ratio in Predicting the Outcomes of Thrombolysis-Treated Stroke: A Retrospective Cohort Study by Sarawut Krongsut, Nat Na-Ek

“…This study aimed to assess the predictive performance of high SHR (≥1.18) and low HB/RDW (≤0.76) together in stroke patients treated with thrombolysis. …”
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Machine learning prediction of 18 date palm polyphenol protection against biomolecular damage by Nashi K. Alqahtani, Tareq M. Alnemr, Rania Ismail, Hosam M. Habib

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Prediction of Composite Panel Operability Under Non-Stationary Heating by the External Environment by Roman Musii, Myroslava Klapchuk, Uliana Zhydyk, Vitaliy Korendiy, Inha Svidrak, Roman Protasov

“…A physical and mathematical model consisting of two stages is proposed to predict the operability of such a panel depending on the heat transfer conditions. …”
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Generalizable deep learning models for predicting laboratory earthquakes by Chonglang Wang, Kaiwen Xia, Wei Yao, Chris Marone

“…With fine-tuning, CNN models trained on one lab fault configuration predict time to failure and shear stress for another configuration at varying fault slip rates. …”
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Individual stress reactivity predicts alcohol craving and alcohol consumption in alcohol use disorder in experimental and real-life settings by Judith Zaiser, Sabine Hoffmann, Sina Zimmermann, Tatjana Gessner, Milena Deck, Nina Kim Bekier, Martin Abel, Philipp Radler, Jens Langejürgen, Bernd Lenz, Sabine Vollstädt-Klein, Jan Stallkamp, Clemens Kirschbaum, Falk Kiefer, Patrick Bach

“…Subjective stress reactivity was the most influential predictor of craving during the experiment (F(1,92) = 9.43, p = 0.003) and during the ambulatory phase (β = 0.16, p = 0.039) while cortisol levels predicted alcohol consumption in real-life settings (β = 9.76, p = 0.043). …”
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A XGBoost-Based Prediction Method for Meat Sheep Transport Stress Using Wearable Photoelectric Sensors and Infrared Thermometry by Ruiqin Ma, Runqing Chen, Buwen Liang, Xinxing Li

“…Finally, machine learning algorithms such as Gaussian Naive Bayes (GaussianNB), Passive-Aggressive Aggregative Classifier (PAC), Nearest Centroid (NC), K-Nearest Neighbor Classification (KNN), Random Forest (RF), Support Vector Classification (SVC), Gradient Boosting Decision Tree (GBDT), and eXtreme Gradient Boosting (XGB) were established to predict the classification models of transportation stress in meat sheep. …”
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Predictive Value of Natriuretic Peptide Tests and Ischemia Modified Albumin Levels in the Diagnosis of Obstructive Sleep Apnoea Syndrome by Hamza Ogun, Eray Metin Güler, Beyza Nur Özkan, Muhammed Yunus Bektay, Abdullah Kansu, Ömer Faruk Çalım

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Integrative Strategies for Preventing and Managing Metabolic Syndrome: The Impact of Exercise and Diet on Oxidative Stress Reduction—A Review by Ana Onu, Daniela-Marilena Trofin, Andrei Tutu, Ilie Onu, Anca-Irina Galaction, Dragos-Petrica Sardaru, Dan Trofin, Cristiana Amalia Onita, Daniel-Andrei Iordan, Daniela-Viorelia Matei

“…Moderate-intensity exercise showed similar benefits with notable reductions in inflammatory markers (e.g., IL-1β, TNF-α). …”
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CO25 | Thromboinflammation and ros accumulation in individuals with high lipoprotein(a) levels

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HEP14 treatment improves ovarian function in aged mice through mitophagy enhancement and oxidative stress reduction by Liming Gui, Jiajia Sun, Qin Zhong, Kan Liu, Qili Sun, Yingtong Di, Helen Picton, Bin Tang, Xiaojiang Hao, Changzhong Li

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Endothelial Activation and Stress Index Is Associated With Adverse Maternal and Perinatal Outcomes in Preeclampsia by Anna S. Scholz, Annabel Kussner, Michael Elsässer, Thomas Luft, Stephanie Wallwiener, Alexandra von Au

“…Therefore, we aimed to assess the predictive performance of EASIX for adverse maternal and perinatal outcomes in pregnancies with preeclampsia. …”
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Use of Machine Learning Algorithms to Predict Almen (Shot Peening) Intensity Values of Various Steel Materials by Murat İnce, Hatice Varol Özkavak

“…For all steel-group VSP samples, the highest CRS and hardness values were obtained at the 60 s −4 mm parameter. This paper aims to predict Almen intensity values using CRS, surface roughness, and hardness values from various steels. …”
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Outness predicts greater leukocyte telomere length in sexually minoritized men with HIV who use methamphetamine by Renessa S. Williams, Ariana Johnson, Michael Miller-Perusse, Annesa Flentje, Judy Moskowitz, Samantha E. Dilworth, Keith J. Horvath, Adam W. Carrico, Brad E. Aouizerat, Delaram Ghanooni

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Predictive evolution of metabolic phenotypes using model‐designed environments by Paula Jouhten, Dimitrios Konstantinidis, Filipa Pereira, Sergej Andrejev, Kristina Grkovska, Sandra Castillo, Payam Ghiachi, Gemma Beltran, Eivind Almaas, Albert Mas, Jonas Warringer, Ramon Gonzalez, Pilar Morales, Kiran R Patil

“…Overall, model‐designed selection environments open new opportunities for predictive evolution.…”
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