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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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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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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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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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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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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Enhancing Undrained Shear Strength Prediction through Innovative Hybridization Techniques by Chisom Samuel, Damilare Adewunmi

“…An innovative approach for predicting USS in soft clays using machine learning methods is pioneered in this study, with a specific focus on a set of five crucial feature variables, such as pre-consolidation stress (PS), vertical effective stress (VES), liquid limit (LL), plastic limit (PL), and natural water content (W), which serve as inputs for the data-driven models. …”
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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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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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PREDICTIVE VALUE OF ECHOCARDIOGRAPHY IN POST MYOCARDIAL INFARCTION SETTING. PART 2 by P. V. Krikunov, Yu. A. Vasyuk, O. V. Krikunova

“…Development of the method of tissue Doppler and “speckle-tracking” led to invention of novel prediction parameters, as deformation, deformation velocity, dissynchrony of the left ventricle. …”
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PREDICTIVE VALUE OF ECHOCARDIOGRAPHY IN POST MYOCARDIAL INFARCTION SETTING. PART 1 by P. V. Krikunov, Yu. A. Vasyuk, O. V. Krikunova

“…Development of the method of tissue Doppler and “speckle tracking” led to invention of novel prediction parameters, as deformation, deformation velocity, desynchrony of the left ventricle. …”
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Predictive molecular biomarkers of radiosensitivity in adult glioma: a narrative review by Romina Abyaneh, Sanaz Bordbar, Soroush Moradi, Sina Molavizade, Shiva Fallahianshafiei, Paola Anna Jablonska, Alba Fiorentino, Reza Ghalehtaki

“…This review explores predictive molecular biomarkers for radiosensitivity in gliomas, highlighting the latest advancements in preclinical studies and available clinical data, as well as their potential to inform future personalized radiotherapy strategies. …”
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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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CO25 | Thromboinflammation and ros accumulation in individuals with high lipoprotein(a) levels

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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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Study and development of methods for predicting the physical and mechanical properties of thin wire and metal cord by E. S. Eltsova, Yu. L. Bobarikin, Yu. V. Martyanov

“…Predicting the physical and mechanical properties of thin wire and metal cord will ensure an increase in the quality of latuned thin wire, a reduction in the number and time of technological pauses, and increase the manufacturability of metal cord twisting. …”
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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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