Predicting flexural strength of hybrid FRP-steel reinforced beams using symbolic regression and ML techniques by Khaled Megahed

“…The results demonstrate that the ML models—Gaussian process regression (GPR), NGBoost, and CatBoost—achieved high predictive accuracy, with mean R2 values approaching 1.0 and MAPE% as low as 5.19 (training) and 11.51 (testing) for GPR. …”
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Design Methodology of Power-Level Modulation for PV Power Loss Minimization and DC Series Arc Fault Detection and Extinguishing by Wan Kim, Hwa-Pyeong Park

“…The proposed method uses <inline-formula> <tex-math notation="LaTeX">$Q_{1}$ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$Q_{2}$ </tex-math></inline-formula> of a non-inverting buck-boost converter to separate the detection and extinguishing processes of arc faults and detects arc faults through sinusoidal current control. …”
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Throw out an oligopeptide to catch a protein: Deep learning and natural language processing-screened tripeptide PSP promotes Osteolectin-mediated vascularized bone regeneration by Yu Chen, Long Chen, Jinyang Wu, Xiaofeng Xu, Chengshuai Yang, Yong Zhang, Xinrong Chen, Kaili Lin, Shilei Zhang

“…After the evaluation of the candidate oligopeptides, one tripeptide, PSP, emerged as particularly notable for its exceptional ability to stimulate the vascularization of endothelial cells (ECs), enhance vascular-osteo communication, and then boost the osteogenic differentiation of bone marrow stem cells (BMSCs), evidenced in mouse critical-sized cranial model. …”
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Enhancing cybersecurity through autonomous knowledge graph construction by integrating heterogeneous data sources by Hatoon Alharbi, Ali Hur, Hasan Alkahtani, Hafiz Farooq Ahmad

“…Integrating critical cyberattack information into a knowledge graph offers a significant boost to cybersecurity, safeguarding cyberspace from malicious activities. …”
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Design and Implementation of a Hardware Versatile Publish-Subscribe Architecture for the Internet of Things by Fadi T. El-Hassan, Dan Ionescu

“…X2CBBR: 1) adopts XML-based publication data and XPath-based subscription data to yield interoperability; 2) processes both XML data and XPath queries in hardware (instead of software) to boost processing performance; 3) employs a hardware-based matching mechanism that exploits subscription commonalities; and 4) makes use of four different operation modes as a method for accepting or limiting acceptance of either publications or subscriptions. …”
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A Deep-Learning Approach to Heart Sound Classification Based on Combined Time-Frequency Representations by Leonel Orozco-Reyes, Miguel A. Alonso-Arévalo, Eloísa García-Canseco, Roilhi F. Ibarra-Hernández, Roberto Conte-Galván

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Ensemble genetic and CNN model-based image classification by enhancing hyperparameter tuning by Wajahat Hussain, Muhammad Faheem Mushtaq, Mobeen Shahroz, Urooj Akram, Ehab Seif Ghith, Mehdi Tlija, Tai-hoon Kim, Imran Ashraf

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A Comprehensive Survey on Split-Fed Learning: Methods, Innovations, and Future Directions by Geetabai S. Hukkeri, R. H. Goudar, G. M. Dhananjaya, Vijayalaxmi N. Rathod, Shilpa Ankalaki

“…Hence, this optimization not only improves the efficiency of resource utilization but also boosts the resiliency of learning process against data heterogeneity. …”
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Deeper insight into speech characteristics of patients at ultra-high risk using classification and explainability models by Deok-Hee Kim-Dufor, Michel Walter, Marie-Odile Krebs, Yannis Haralambous, Philippe Lenca, Christophe Lemey, Christophe Lemey

“…This study aims to find relevant linguistic markers for classifying patients at ultra-high risk and explain how the detected markers contribute to the classification.MethodsThe first consultations with a psychiatrist of 68 patients (15 not-at-risk patients, 45 at-risk patients, and 8 patients with first episode psychosis) were recorded, transcribed verbatim, and annotated for analyses using natural language processing. A gradient-boosted decision tree algorithm was tested to evaluate its potential to correctly classify three categories of patients and find relevant linguistic markers at the level of lexical richness, semantic coherence, speech disfluency, and syntactic complexity. …”
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Assessing the performance of machine learning and analytical hierarchy process (AHP) models for rainwater harvesting potential zone identification in hilly region, Bangladesh by Md. Mahmudul Hasan, Md. Talha, Most. Mitu Akter, Md Tasim Ferdous, Pratik Mojumder, Sujit Kumar Roy, N.M. Refat Nasher

“…Specifically, four ML algorithms—random forest (RF), boosted regression trees (BRT), k-nearest neighbors (KNN), and naïve bayes (NB)—alongside the analytical hierarchy process (AHP) were employed to delineate potential RWH zones in the Chattogram hilly districts, including Chattogram, Rangamati, Bandarban, Khagrachari, and Cox’s Bazar. …”
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Yoga for older adults with multimorbidity: teaching insights for optimising participant safety and inclusion from the process evaluation of the Gentle Years Yoga trial by Tim Rapley, Lesley Ward, Garry Tew, Laura Wiley, Fiona Rose, Jenny Howsam, Laura Bissell

“…These covered aspects of delivery including class size and delivery formats, choosing appropriate physical content, enhancing inclusivity of personal beliefs through non-physical content, proactive teaching styles, communication tips and ways to boost visibility.Conclusions This 21-item list adds to the current educational base of yoga for older adults. …”
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BCLH2Pro: A novel computational tools approach for hydrogen production prediction via machine learning in biomass chemical looping processes by Thanadol Tuntiwongwat, Sippawit Thammawiset, Thongchai Rohitatisha Srinophakun, Chawalit Ngamcharussrivichai, Somboon Sukpancharoen

“…A methodology involving K-Nearest Neighbors (KNN), Extreme Gradient Boosting (XGB), Light Gradient Boosting Machine (LGBM), Support Vector Machine (SVM), Random Forest (RF), and CatBoost (CB) algorithms was employed to predict H2 yields in the BCLpro, utilizing 10-fold cross-validation for robust model evaluation. …”
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Effects of combining sensory-motor exercises with transcranial direct current stimulation on cortical processing and clinical symptoms in patients with lumbosacral radiculopathy: A... by Soheila Qanbari, Roya Khanmohammadi, Gholamreza Olyaei, Zohreh Hosseini, Hanie Sadat Hejazi

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Ozone Pollution in China Affected by Climate Change in a Carbon Neutral Future as Predicted by a Process‐Based Interpretable Machine Learning Method by Huimin Li, Yang Yang, Hang Su, Hailong Wang, Pinya Wang, Hong Liao

“…In this study, near‐surface O3 concentrations in China in 2030 and 2060 are predicted using the process‐based interpretable Extreme Gradient Boosting (XGBoost) model integrated with multi‐source data. …”
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Application of root exudates derived from peanut/maize intercropping system promotes peanut growth and yield via modulating nitrogen turnover processes by Tong Si, Lijian Yang, Jinhao Lu, Yimin Lin, Xiaona Yu, Xiaojun Zhang, Xiaoxia Zou

“…Abstract Background Legume-based intercropping systems function in boosting crop productivity. However, the precise physiological mechanisms by which root exudates derived from these systems on crop growth have not been characterized. …”
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Electroencephalogram Based Emotion Recognition Using Hybrid Intelligent Method and Discrete Wavelet Transform by Duy Nguyen, Minh Tuan Nguyen, Kou Yamada

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Optimising AI writing assessment using feedback and knowledge graph integration by Ci Zhang

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Machine Learning-Driven Radiomics Analysis for Distinguishing Mucinous and Non-Mucinous Pancreatic Cystic Lesions: A Multicentric Study by Neus Torra-Ferrer, Maria Montserrat Duh, Queralt Grau-Ortega, Daniel Cañadas-Gómez, Juan Moreno-Vedia, Meritxell Riera-Marín, Melanie Aliaga-Lavrijsen, Mateu Serra-Prat, Javier García López, Miguel Ángel González-Ballester, Maria Teresa Fernández-Planas, Júlia Rodríguez-Comas

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Enhancing shear strength predictions of UHPC beams through hybrid machine learning approaches by Sanjog Chhetri Sapkota, Ajad Shrestha, Moinul Haq, Satish Paudel, Waiching Tang, Hesam Kamyab, Daniele Rocchio

“…Abstract Ultra-high-performance concrete (UHPC) beam shear strength prediction is a complicated process due to the involvement of numerous parameters. …”
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Arginine and Spermine Ameliorate Water Deficit Stress in Fenugreek (<i>Trigonella foenum-graecum</i> L.) by Enhancing Growth and Physio-Biochemical Processes by Ali A. Badawy, Wadha Kh. Alshammari, Noura F. G. Salem, Woroud S. Alshammari, Hebat-Allah A. Hussein

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