Reduction of harmonic distortion in electromagnetic torque of a single-phase reluctance motor using a multilevel neutral-point-clamped DC-AC converter by José M. Campos-Salazar, Roya Rafiezadeh, Juan L. Aguayo-Lazcano, Constanza Márquez

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Predicting stroke with machine learning techniques in a sub-Saharan African population by Benjamin Segun Aribisala, Deirdre Edward, Godwin Ogbole, Onoja M. Akpa, Segun Ayilara, Fred Sarfo, Olusola Olabanjo, Adekunle Fakunle, Babafemi Oluropo Macaulay, Joseph Yaria, Joshua Akinyemi, Albert Akpalu, Kolawole Wahab, Reginald Obiako, Morenikeji Komolafe, Lukman Owolabi, Godwin Osaigbovo, Akinkunmi Paul Okekunle, Arti Singh, Philip Ibinaye, Osahon Osawata, Adeniyi Sunday, Ijezie Chukwuonye, Carolyn Jenkins, Hemant K. Tiwari, Okechukwu Ogah, Ruth Y. Laryea, Daniel T. Lackland, Oyedunni Arulogun, Omotolani Ajala, Rufus Akinyemi, Bruce Ovbiagele, Steffen Sammet, Mayowa Owolabi

“…These are addition of salt to food at table during eating, cardiac disease, diabetes mellitus, dyslipidemia, education, family history of cardiovascular disease, hypertension, income, low green leafy vegetable consumption, obesity, physical inactivity, regular meat consumption, regular sugar consumption, smoking, stress and use of tobacco. …”
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Mindfulness, cognitive load, and performance: examining the interplay of stress and self-regulation in physical education by Songhu Kong, Lingling Qiu, Yangyang Su, Yibo Zhang, Kaiye Sun

“…Abstract Purpose This study investigates the role of mindfulness practices and self-regulation in reducing cognitive load stress and enhancing physical performance among university students in physical education. …”
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A novel formula for predicting the ultimate compressive strength of the cylindrically curved plates by Do Kyun Kim, Andy Ming King Wong, Jinha Hwang, Shen Li, Nak-Kyun Cho

“…''The present study aims to develop an empirical formula to predict the ultimate compressive strength of unstiffened cylindrically curved plates. …”
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Storage Life Prediction Based on Kernel Path Classification and Estimation Model by PAN Yuxiong, ZHOU Guifa, WANG Xu

“…Then, degradation data at higher stress can be converted to those at normal stress by data conversion formula. …”
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Non-Pharmacological Interventions for Chronic Pain Management: A Narrative Review by Mohammed Albesher, Mohammed AlKhalifah, Abdulaziz Hazazi, Ghassan Hakeem, Bader Almogbel

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Critical length parameter of HDPE and its use in fatigue lifetime predictions by Kamila Kozáková, Lukáš Trávníček, Jan Poduška, Jan Klusák

“…For this reason, the critical distance is modified by the ratio of stress concentration factors and the modified distance is used for fatigue lifetime predictions of notched specimens with various notch radii. …”
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An Integrated Cellular Automata Model Improves the Accuracy of Secondary Fragmentation Prediction by René Gómez, Camila San Martin, Raúl Castro

“…This work describes the application of a new model to improve the accuracy of the prediction of fine material in block caving mining by coupling a stress model and a fragmentation model, integrating the shear strain effect. …”
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Digital twin for real-time pressure vessels fatigue life prediction by Izat Khaled, Mohamed Bennebach, Dmytro Vasiukov, Modesar Shakoor, Salim Chaki

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Developing serum proteomics based prediction models of disease progression in ADPKD by Hande Ö. Aydogan Balaban, Sita Arjune, Franziska Grundmann, Jan-Wilm Lackmann, Thomas Rauen, Philipp Antczak, Roman-Ulrich Müller

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Automated diabetes detection prediction system based on patients’ medical data by S.V. Pidopryhora, Yu.V. Bogoyavlenska

“…The development of an automated system for predicting diabetes detection is an extremely relevant task, especially given the rapid increase in the number of diabetes cases in Ukraine and worldwide. …”
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Optimising the Selection of Input Variables to Increase the Predicting Accuracy of Shear Strength for Deep Beams by Mohammed Majeed Hameed, Faidhalrahman Khaleel, Mohamed Khalid AlOmar, Siti Fatin Mohd Razali, Mohammed Abdulhakim AlSaadi

“…The deep beam in load transfer is very important as well as difficult to design due to its shear stress problems. Accurate estimation of shear stress would help engineers to get a safer design. …”
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Predicting grain boundary segregation in magnesium alloys: An atomistically informed machine learning approach by Zhuocheng Xie, Achraf Atila, Julien Guénolé, Sandra Korte-Kerzel, Talal Al-Samman, Ulrich Kerzel

“…The machine learning models accurately predict segregation thermodynamics by incorporating energetic and structural descriptors. …”
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An illustration of multi-class roc analysis for predicting internet addiction among university students. by Nishat Tasnim Thity, Atikur Rahman, Adisha Dulmini, Mst Nilufar Yasmin, Rumana Rois

“…University students' backgrounds, depression, anxiety, stress, participation in physical activity, misbehaving with family members, memory loss symptoms, and being COVID-19-positive were selected as significant features for predicting IA. …”
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Evaluating the predictive power of combined gene expression dynamics from single cells on antibiotic survival by Razan N. Alnahhas, Virgile Andreani, Mary J. Dunlop

“…These temporary forms of antibiotic tolerance can be caused by the upregulation of stress response genes or a decrease in cell growth rate. …”
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The effects of Leventhal’s self-regulation model-based educational intervention on stress, anxiety, and depression in women with multiple sclerosis: a randomized educational trial by Mahsa Hosseini, Soheila Shamsikhani, Ali Jadidi, Fatemeh Rafiei

“…The present research aimed to examine the impact of Leventhal self-regulation training on stress, anxiety, and depression in MS patients.MethodsThe current study was conducted as a randomized educational trial of 60 women referred to the MS Association in Arak City in 2024. …”
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Emotional labor, job-related stress, and burnout in school leadership: insights from educational administrators by Başak Coşkun, Sevda Katıtaş, Barış Eriçok

“…Results SEM results indicated that emotional labor significantly predicted job-related stress (β = 0.461, p <.001), and job-related stress strongly predicted burnout (β = 0.851, p <. 001). …”
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The Effect of Hospitalization Education Given to the Parents of Premature Babies in Intensive Care Unit on Their Stress Levels by Sevda Doğru, Aysel Topan

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Prediction of Crushing Response for Metal Hexagonal Honeycomb under Quasi-Static Loading by Xinyu Geng, Yufei Liu, Wei Zheng, Yongbin Wang, Meng Li

“…The mathematical models of mean crushing stress and peak crushing stress for metal hexagonal honeycombs were predicted on the basis of simplified super element theory. …”
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Research on Slope Stability Prediction Based on MC-BKA-MLP Mixed Model by Yan Lu, Hongze Zhao

“…Quantifying slope mechanical parameters as comprehensive indicators is crucial for predicting slope stability. The Mohr–Coulomb (M-C) criterion, a classical method for determining the relevant parameters of rock mass mechanics, effectively reflects the failure characteristics of rock masses in most types of slopes. …”
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