A Runoff‐On‐Grid Approach to Embed Hydrological Processes in Shallow Water Models by Pasquale Perrini, Luis Cea, Francesco Chiaravalloti, Salvatore Gabriele, Salvatore Manfreda, Mauro Fiorentino, Andrea Gioia, Vito Iacobellis

“…Abstract Catchment‐scale hydrological models encountered dichotomies with the numerical hydrodynamic models when describing surface routing process. We propose a new modeling framework, the so‐called “Runoff‐On‐Grid” approach, for embedding distributed process‐based hydrological modeling into shallow water models, as an alternative to the traditional Fully Hydrodynamic Approach (also known as Rain‐On‐Grid). …”
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Use of Asset Administration Shell for Monitoring and Control of Industrial Processes in Legacy Systems by Enrik Ramos Lima, Miguel Angel Orellana Postigo, Joao Victor Reis De Oliveira de Sicco, Raimundo Claudio Souza Gomes, Fabio De Sousa Cardoso, Israel Gondres Torne

“…Industry 4.0 is revolutionizing industrial processes by promoting automation and digitalization across various sectors. …”
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Computer Simulation of Metal Ions Transport to Uneven Substrates during Ionized Plasma Vapour Deposition by Tomáš Ibehej, Jakub Hromádka, Rudolf Hrach

“…We present a computational study of processes taking place in a sheath region formed near a negatively biased uneven substrate during ionized plasma vapour deposition. …”
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Relevant approaches to modernization of academic and material and technical process support of academic process in the field of knowledge “Health care” in terms of adapting to inte... by T. O. Pertseva, I. S. Shponka, I. V. Tverdokhlib, O. Yu. Pototskaya

“…Of particular importance is the synchronization of methodological approaches to conducting practical classes and assessment criteria not only in theoretical but also in clinical departments, which will make the learning process more transparent and understandable. Such a set of measures will help not only to adapt students to exams at the international level, but also will increase their interest and improve the effectiveness of the educational process. …”
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Machine learning guided thermal management of Open Computing Language applications on CPU‐GPU based embedded platforms by Rakesh Kumar, Bibhas Ghoshal

“…Abstract As embedded devices start supporting heterogeneous processing cores (Central Processing Unit [CPU]–Graphical Processing Unit [GPU] based cores), performance aware task allocation becomes a major issue. …”
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An integrated micro- and macroarchitectural analysis of the Drosophila brain by computer-assisted serial section electron microscopy. by Albert Cardona, Stephan Saalfeld, Stephan Preibisch, Benjamin Schmid, Anchi Cheng, Jim Pulokas, Pavel Tomancak, Volker Hartenstein

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Molecular signature of selective microRNAs in Cyprinus carpio (Linnaeus 1758):a computational approach by Soumendu Ghosh, Manojit Bhattacharya, Avijit Kar, Basanta Kumar Das, Bidhan Chandra Patra

“…They are typically conserved among the organisms and also involved in multiple biological processes by degrading the targeted mRNAs by suppression or destabilization. …”
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A Comprehensive Survey of Deep Learning Approaches in Image Processing by Maria Trigka, Elias Dritsas

“…The integration of deep learning (DL) into image processing has driven transformative advancements, enabling capabilities far beyond the reach of traditional methodologies. …”
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Modeling of Ionization and Recombination Processes in Plasma with Arbitrary Non-Maxwellian Electron Distribution by Chengcai Shen, Xiaocan Li, Yuan-Kuen Ko, John C. Raymond, Fan Guo, Vanessa Polito, Viviane Pierrard

“…In astronomical environments, the high-temperature emission of plasma mainly depends on ion charge states, requiring accurate analysis of the ionization and recombination processes. For various phenomena involving energetic particles, non-Maxwellian distributions of electrons exhibiting high-energy tails can significantly enhance the ionization process. …”
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Algorithm of Computer Model Realization of Ferroresonance Overvoltages and Their Suppression at Asymmetric Regimes of Power Transmission Lines by E. V. Dmitriyev, A. M. Gashimov, I. R. Pivchik, A. R. Babayeva

“…These investigations have been carried out by means of computer modeling of incomplete-phase regime of PTL with the purpose to select criteria for starting devices which are applied for detection and suppression of ferroresonance processes. …”
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Characterizing the Inter-Core Qubit Traffic in Large-Scale Quantum Modular Architectures by Sahar Ben Rached, Isaac Lopez Agudo, Santiago Rodrigo, Medina Bandic, Artur Garcia-Saez, Sebastian Feld, Hans van Someren, Eduard Alarcon, Carmen G. Almudever, Sergi Abadal

“…Modular quantum processor architectures are envisioned as a promising solution for the scalability of quantum computing systems beyond the Noisy Intermediate Scale Quantum (NISQ) era. …”
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Whole-brain computation of cognitive versus acoustic errors in music: A mismatch negativity study by L. Bonetti, F. Carlomagno, M. Kliuchko, B.P. Gold, S. Palva, N.T. Haumann, M. Tervaniemi, M. Huotilainen, P. Vuust, E. Brattico

“…Previous studies have evidenced how the local prediction of physical stimulus features may affect the neural processing of incoming stimuli. Less known are the effects of cognitive priors on predictive processes, and how the brain computes local versus cognitive predictions and their errors. …”
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Tutors' perceptions of ICTs in promoting computational thinking among pre-service teachers in Tanzanian colleges by Vicky Mrosso, Placidius Ndibalema, Abdon Ephrem

“… The current study explores tutors' perceptions of using information and communication technologies (ICTs) to develop computational thinking (CT) skills among pre-service teachers. …”
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Automated grading using natural language processing and semantic analysis by Ahmad Ayaan, Kok-Why Ng

“…Educational institutions' grading systems have evolved significantly toward automation, propelled by advances in Natural Language Processing (NLP) and Artificial Intelligence (AI). This research comprehensively explores automated grading systems, analyzing traditional methods alongside contemporary approaches and research on exam grading. …”
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Investigation of the Structural Characteristics of the Gas Diffusion Layer Using Micro-X-Ray Computed Tomography by Qitong Shi, Cong Feng, Bing Li, Pingwen Ming

“…The microstructure of the GDLs was obtained using micro-X-ray computed tomography in this study, and their structural properties were analyzed comprehensively and quantitatively. …”
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A Literature Review of Recent Advances on Innovative Computational Tools for Waste Management in Smart Cities by Sergio Nesmachnow, Diego Rossit, Pedro Moreno-Bernal

“…With the rise of urbanization and the increasing challenges of waste management, innovative technologies play a pivotal role in optimizing waste collection, sorting, recycling, and disposal processes. Leveraging computational tools such as artificial intelligence, Internet of Things, and big data analytics, smart waste management systems enable real-time monitoring, predictive modeling, and optimization of waste-related operations. …”
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Computer Vision-Based Gait Recognition on the Edge: A Survey on Feature Representations, Models, and Architectures by Edwin Salcedo

“…Alternatively, the emerging paradigm of edge computing, which involves moving computational processes to local devices, offers the potential to reduce latency, enable real-time surveillance, and eliminate reliance on internet connectivity. …”
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Computational fluid dynamics investigation of heat-exchangers for various air-cooling systems in poultry houses by В.И. Троханяк, И.Л. Роговский, Л.Л. Титова, П.Г. Лузан, П.С. Попык, О.О. Банный

“…Computational Fluid Dynamics analysis of the heat-exchangers of two various designs for tunnel and side ventilation systems has been carried out. …”
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Gamification and its challenges in e-learning: a case study of computer science learners in KKHSOU by Antara Mahanta Barua, Sruti Sruba Bharali

“…Purpose – The purpose of the case study is to investigate the perception of computer science learners at Krishna Kanta Handiqui State Open University (KKHSOU) regarding the use of gamification and to identify the challenges in implementing gamified teaching-learning processes in open and distance learning (ODL) institutions. …”
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Modelling the mitigation of anti-vaccine opinion propagation to suppress epidemic spread: A computational approach. by Sarah Alahmadi, Rebecca Hoyle, Michael Head, Markus Brede

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