Research ArticleOpen accessIn the abstractFire Evaluation of RC Frames Strengthened with FRPs Using Finite Element MethodReza Salehi, Abbas Akbarpour, Armaghan ShalbaftabarReinforced Concrete (RC) structures may confront with extreme loading conditions. Sometimes, structures are not only under extreme loading such as earthquakes but also, they may be subjected to fire. Therefore, investigation of reinforced concrete structures which are the most common ones is essential. In this study, experimental RC frame is considered to validate in ABAQUS finite element software. RC frame … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 4 · 5 Oct 2020 · 7,141 accessesView PDFCite
EditorialOpen accessIn the abstractVolume 1: First Steps for SGAMRChiara Bedon, Mario D’Aniello, Flavio StochinoSummer 2017 is approaching when the International Journal of Structural Glass and Advanced Materials Research starts to walk and the “Volume 1” contains its first outcomes (Bedon et al., 2017). It is worth of interest that the attention of the contributors is on glass…. but not only,… and this represents a promising step for the journal growth and evolution. In … …International Journal of Structural Glass and Advanced Materials Research, Vol. 4, Issue 1 · 28 Aug 2020 · 6,336 accessesView PDFCite
Research ArticleOpen accessIn the abstractMachine Learning Based Prediction of Catch Yields in Small Scale FisheriesEpifelward Niño Olaivar Amora, Patrick D. CernaSmall-scale fisheries are critical for food security and livelihoods but increasingly face threats from overfishing and environmental change. This study employed machine learning to predict catch yields in Cogtong Bay, Philippines, using 3,478 records collected in 2020–2021 that included species, gear, location, season, and weather data. Models developed in Python with scikit-learn and XGBoost compared Random Forest (RF), Extreme Gradient … …Journal of Computer Science, Vol. 22, Issue 8 · 24 Aug 2026 · 1,117 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis of the 16-20 February 2025 Damaging Heavy Rainfall in BotswanaOliver MosesHeavy rainfall that occurred from 16-20 February 2025 over most of Botswana caused, for example, flash flooding, fatalities, and widespread displacement, with the most severe impacts in the Gaborone-Mochudi region in the southeastern parts of the country. The drivers of this event are poorly understood; hence, this study analyses the rainfall characteristics using CHIRPS and station data. It also analyses … …American Journal of Applied Sciences, Vol. 23, Issue 1 · 24 Aug 2026 · 1,117 accessesView PDFCite
Research ArticleOpen accessIn the abstractClimate-Driven Productivity Responses and Implications for Genetic Adaptation and Breeding of Boreal Trees in KazakhstanZhadyra Baigazakova, Kuralay Mazarzhanova, Asset Satayev et al.Kazakhstan’s boreal and forest-steppe forests form the southern ecotonal edge of the West Siberian taiga, where relatively small changes in heat and moisture can trigger disproportionate impacts on tree growth, mortality, and regeneration. Although forests cover only ~4% of Kazakhstan, they provide critical ecosystem services: stabilizing hydrological regimes, buffering microclimates, protecting agricultural lands from wind and water erosion, and supporting … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 10 Aug 2026 · 711 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnaerobic Fermentation for Ceftriaxone Sodium Degradation in Excess Sludge: pH-Dependent Performance, Metabolite Formation, and Microbial Community DynamicsWeiwei Li, Hong Niu, Yonghui Zhang et al.The accumulation of ceftriaxone sodium (CTX), a third-generation cephalosporin antibiotic, in wastewater and sludge poses significant environmental and health risks, necessitating effective degradation strategies. This study investigated anaerobic fermentation of excess sludge (12,000-14,000 mg/L) spiked with 15 mg/L CTX under varying pH conditions (4, 7, 10, 12) to evaluate sludge reduction, metabolite formation, and microbial community dynamics. Results demonstrated that … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 2 · 31 Jul 2026 · 865 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Soft Voting Ensemble of XGBoost and DNN for At-Risk Student Performance PredictionEugene Wan, Po Chan Chiu, Mohammad bin Hossin et al.Early identification of at-risk students in higher education is important for timely academic intervention, yet conventional prediction methods often struggle with data imbalance and limited model precision. This study proposes a hybrid soft voting ensemble model that integrates Extreme Gradient Boosting (XGBoost) and Deep Neural Network (DNN) to enhance multi-class student grade prediction (A-F classification) and at-risk student identification. This … …Journal of Computer Science, Vol. 22, Issue 5 · 28 May 2026 · 1,404 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Coding Schema-Based Mobile System for Children With ASD in MauritaniaCheikhne Mohamed Mahmoud Seyidi, Ahmed Mohameden, Mohamed Lamine Diakité, Mohamedade Farouk NanneChildren with Autism Spectrum Disorders (ASD) in many African countries face persistent barriers, including limited diagnostic awareness, scarce specialized resources, and the absence of educational interventions adapted to local contexts. In Mauritania, these challenges are exacerbated by the extreme centralization of autism services, with only two care centers available nationwide. Unlike existing ASD interventions that rely on imported pedagogical models … …Journal of Computer Science, Vol. 22, Issue 5 · 25 May 2026 · 1,320 accessesView PDFCite