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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Finite Element Analysis of Friction-Induced Stress Concentrations in Press Fits with Chamfer Hubs by Eulalia Izard, Roberto García-Martín, Manuel Rodríguez-Martín, Miguel Lorenzo

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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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A dataset of psychological emotional expressions relating to depression, anxiety and stress for Malay language model trainingOSF by Ruhaila Maskat, Nor Hapiza Mohd Ariffin, Nurul Akhmal Dzulkefli

“…The dataset can benefit research works in the areas of emotional speech recognition, emotional intelligence understanding and emotional prediction. The dataset consists of raw and pre-processed posts which include normalized and tokenized words suitable for training Malay Large Language Models and predictive analytics.…”
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Mindfulness-Based Stress Reduction adapted to pregnant women with psychosocial vulnerabilities - a randomized feasibility trial in a Danish hospital-based outpatient setting by Sine Skovbjerg, Michelle Kolls, Anette Kjærbye-Thygesen, Lone Overby Fjorback

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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

“…We developed a Bayesian inference model to predict how the combination of dual reporter expression levels and growth rate impacts ciprofloxacin survival in Escherichia coli. …”
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Swelling reduction in bentonite due to saline solutions via fractal modeling by Fazal E. Jalal, Xiaoyue Li, Kennedy Onyelowe

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A proposed deep learning model for multichannel ECG noise reduction by Jay Prakash Maurya, Manish Manoria, Sunil Joshi

“…This article proposed a novel deep learning-based solution for multichannel ECG noise reduction, through utilizing the capabilities of fully convolutional neural network along with the Jacobin regularization to ensure confining and preserving local information. …”
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Drag Reduction in Compressible Channel Turbulence with Periodic Interval Blowing and Suction by Shibo Lee, Chenglin Zhou, Yang Zhang, Yunlong Zhao, Jiaqi Luo, Yao Zheng

“…The numerical results indicate that augmenting the blowing/suction intensity will alter the velocity gradient of the viscous sublayer in the controlled region. Nonetheless, a reduction in the area of the controlled region diminishes the impact of blowing/suction on drag reduction on the entire wall. …”
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Relationship Between 8-iso-prostaglandin-F_2α and Predicted 10-Year Cardiovascular Risk in Hypertensive Patients by Giulio Geraci, Alessandra Sorce, Luca Zanoli, Giuseppe Cuttone, Vincenzo Calabrese, Francesco Pallotti, Valentina Paternò, Pietro Ferrara, Ligia J. Dominguez, Riccardo Polosa, Jacob George, Giuseppe Mulè, Caterina Carollo

“…The aim of this study was to assess the relationship between 8-iso-PGF_2α and 10-year CV risk, as predicted by validated equations in hypertension patients without CV diseases. …”
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Assessment of spatial autocorrelation and scalability in fine-scale wildfire random forest prediction models by Madeleine Pascolini-Campbell, Joshua B. Fisher, Kerry Cawse-Nicholson, Christine M. Lee, Natasha Stavros

“…Here we use high resolution (70 m, every 3–5 days) remote sensing observations of evapotranspiration and evaporative stress index, which represent plant water stress, from Ecosystem Spaceborne Thermal Radiometer on Space Station (ECOSTRESS), as well as topography and weather data, to predict burn severity and occurrence for 8 large wildfires that burned 3715 km2 from 2021 and 2022 in New Mexico, USA. …”
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Classification Prediction of Rockburst in Railway Tunnel Based on Hybrid PSO-BP Neural Network by Min Zhang

“…In order to accurately predict the rockburst intensity level of the railway tunnel, the rock stress coefficient σθ/σc, rock brittleness coefficient σc/σt, and elastic energy index Wet are used as evaluation indexes of rockburst intensity, and a BP neural network rockburst prediction model based on hybrid particle swarm optimization algorithm is proposed. …”
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Aging Analysis and Degradation Prediction of PLL Circuits in 14-nm FinFET Technology by Meng Li, Xin Xu, Xianghui Li, Yunpeng Li, Yiqun Shi, Qingqing Sun, Hao Zhu

“…The quasi-static-approximation (QSA) model built with DC stress test data, was employed for device and circuit degradation predictions, and its limitations and applicability were discussed. …”
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Creep behavior of clayey soil and its model prediction in the Cangzhou land subsidence area by Jianfeng Qi, Yongjie Xie, Chen Li, Haipeng Guo, Yunlong Wang

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Study on the Prediction of the Height of Two Zones in the Overlying Strata under a Strong Shock by Xingping Lai, Bowei Liu, Pengfei Shan, Feng Cui, Yun Zhang, Xudong Zhang, Rui Bai, Xuan Wu

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TEENAGE PREGNANCY PREDICTION INDEX DURING THE ONLINE LEARNING PERIOD OF THE COVID-19 PANDEMIC by Eny Qurniyawati, Santi Martini, Fariani Syahrul, Jayanti Dian Eka Sari, Rahayu Lubis, Nayla Mohamed Gomaa Nasr

“…Aims: To determine the predictive index of risk variables for teen pregnancy throughout the COVID-19 pandemic's online learning period. …”
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Biomarker panels for improved risk prediction and enhanced biological insights in patients with atrial fibrillation by Pascal B. Meyre, Stefanie Aeschbacher, Steffen Blum, Tobias Reichlin, Moa Haller, Nicolas Rodondi, Andreas S. Müller, Alain Bernheim, Jürg Hans Beer, Giorgio Moschovitis, André Ziegler, Bianca Wahrenberger, Elia Rigamonti, Giulio Conte, Philipp Krisai, Leo H. Bonati, Stefan Osswald, Michael Kühne, David Conen

“…We identify 5 biomarkers including D-dimer, growth differentiation factor 15 (GDF-15), interleukin-6 (IL-6), N-terminal pro-B-type natriuretic peptide (NT-proBNP), and high-sensitivity troponin T (hsTropT) that independently predict cardiovascular death, stroke, myocardial infarction, and systemic embolism, significantly enhancing predictive accuracy. …”
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Prediction method of surface deformation around soft base dump based on viscoelastic theory by Dong WANG, Li YIN, Lanzhu CAO, Yiming FU, Liguo ZHANG, Chunhui ZHANG, Chunjian DING

“…A series of quantitative data is obtained through calculations and predictions of surface deformation on layered viscoelastic substrates under pile load actions in the discharging yard. …”
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