Reuse of Industrial By-products in Construction using Geopolymerization by Manukhina Lyubov, Sreejyothsna Ankam, Logabiraman Govardhan, Dhawan Aashim, Kumar Rakesh, Anand Sami, Sarpal Sumeet Singh, Sharma Prashant, Hassan Muntather Muhsin

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Factors Influencing the Perception of Corruption in the Countries of the European Union by Botond Géza Kálmán, Endre Béla Huff, Anh Tuan Hoang, Viharos Zsolt János, Zoltán Zéman

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Performance Enhancement of Methane Detection Using a Novel Self-Adaptive Mid-Infrared Absorption Spectroscopy Technique by Fang Song, Chuantao Zheng, Wanhong Yan, Wei Lin Ye, Yu Zhang, Yiding Wang, Frank K. Tittel

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Optimal Sizing, Techno-Economic Feasibility and Reliability Analysis of Hybrid Renewable Energy System: A Systematic Review of Energy Storage Systems’ Integration by Akhlaque Ahmad Khan, Ahmad Faiz Minai, Rakesh Kumar Godi, Vijay Shankar Sharma, Hasmat Malik, Asyraf Afthanorhan

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Diagnostic Efficacy of ¹²³Iodo-Metaiodobenzylguanidine SPECT/CT in Cardiac vs. Neurological Diseases: A Comparative Study of Arrhythmogenic Right Ventricular Cardiomyopa... by Johannes M. Hagen, Maximilian Scheifele, Mathias J. Zacherl, Sabrina Katzdobler, Alexander Bernhardt, Matthias Brendel, Johannes Levin, Günter U. Höglinger, Sebastian Clauß, Stefan Kääb, Andrei Todica, Guido Boening, Maximilian Fischer

“…<b>Background/Objectives</b>: ¹²³Iodo-metaiodobenzylguanidine single photon emission computed tomography/computed tomography (¹²³I-MIBG SPECT/CT) is used to evaluate the cardiac sympathetic nervous system in cardiac diseases such as arrhythmogenic right ventricular cardiomyopathy (ARVC) and α-synucleinopathies such as Parkinson’s diseases. …”
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Multi-task genomic prediction using gated residual variable selection neural networks by Yuhua Fan, Patrik Waldmann

“…The prediction properties of the GRVSNN model are evaluated on several real-world datasets, including loblolly pine, mouse and pig. …”
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Sex differences in the case-fatality rates for COVID-19-A comparison of the age-related differences and consistency over seven countries. by Manfred S Green, Dorit Nitzan, Naama Schwartz, Yaron Niv, Victoria Peer

“…Age-specific CFRs were computed for males and females separately. The ratio of the male to female CFRs were computed and meta-analytic methods were used to obtained pooled estimates of the male to female ratio of the CFRs over the seven countries, for all age-groups. …”
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Machine Learning in Acute Stroke Neuroimaging. A Systematic Literature Review by D. Matuliauskas, I. Stražnickaitė, A. Samuilis, D. Jatužis

“…AI solutions can be widely applied in computation of infarct volumes. Us- ing AI in stroke diagnosis still requires further research with more prospective studies, more expert human operators, and more focus on evaluating secondary outcomes. …”
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Natural Anthraquinones as Promising MAPK3 Inhibitors for Complementary Cancer Therapy by Samaneh Vaziri-Amjad, Massoud Moradi-Najmi, Amir Taherkhani

“…Furthermore, a 100-nanosecond molecular dynamics (MD) computer simulation was performed to assess the stability of the docked pose of the most potent enzyme inhibitor identified in this study. …”
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An enhanced fruit fly optimization algorithm with random spare and double adaptive weight strategies for oil and gas production optimization by Xu Wang, Jingfu Shan

“…However, conventional reservoir optimization techniques are often computationally intensive and may struggle to deliver satisfactory solutions. …”
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Innovative Business Models Towards Sustainable Energy Development: Assessing Benefits, Risks, and Optimal Approaches of Blockchain Exploitation in the Energy Transition by Aikaterini Papapostolou, Ioanna Andreoulaki, Filippos Anagnostopoulos, Sokratis Divolis, Harris Niavis, Sokratis Vavilis, Vangelis Marinakis

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Workflow for Conflict and Reinforcement Identification Based on STPA and STRIDE by Andrei Carniel, Juliana de Melo Bezerra, Celso Massaki Hirata

“…Critical Cyber-Physical Systems (CPSs) are becoming more complex and characterized by increasing automation, computational power, communication, and integration. …”
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Implementation Insights of Robust Dynamic Spectrum Sharing for Heterogeneous Services in Non-Standalone 5G by Marziyeh Karkhaneh, Sajedeh Norouzi, Mohammad Reza Abedi, Nader Mokari, Mohammad Reza Javan, Hamid Saeedi, Eduard A. Jorswieck

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A new hybrid approach for solving partial differential equations: Combining Physics-Informed Neural Networks with Cat-and-Mouse based Optimization by Nursyiva Irsalinda, Maharani A. Bakar, Fatimah Noor Harun, Sugiyarto Surono, Danang A. Pratama

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Pipe Routing with Topology Control for Decentralized and Autonomous UAV Networks by Shreyas Devaraju, Shivam Garg, Alexander Ihler, Elizabeth Serena Bentley, Sunil Kumar

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TeaNet8: A real time Android application-based Tea Leaf Disease detection using fine-tuned transfer learning and Gradient-Weighted Class Activation Mapping visualization by Ismotara Dipty, Md Assaduzzaman, Nafiz Fahad, Md. Jakir Hossen, Md. Farhatul Haider, Fiaj Rahman

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Categorical classification of skin cancer using a weighted ensemble of transfer learning with test time augmentation by Aliyu Tetengi Ibrahim, Mohammed Abdullahi, Armand Florentin Donfack Kana, Mohammed Tukur Mohammed, Ibrahim Hayatu Hassan

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WideConvNet: A Novel Wide Convolutional Neural Network Applied to ERP-Based Classification of Alcoholics by Abdul Baseer Buriro, Attaullah Buriro, Aziz Altaf Khuwaja, Abdul Aziz Memon, Nabeel Siddiqui, Stephen J. Weddell, Richard D. Jones

“…The findings suggest that WideConvNet, specifically on short-duration EEG signals, offers a balanced solution, combining robust classification performance with improved computational efficiency, making it suitable for clinical diagnosis and real-time brain-computer interface (BCI) applications.…”
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Exploring Consistent Feature Selection for Software Fault Prediction: An XAI-Based Model-Agnostic Approach by Adam Khan, Asad Ali, Jahangir Khan, Fasee Ullah, Muhammad Faheem

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An Evolutionary Deep Reinforcement Learning-Based Framework for Efficient Anomaly Detection in Smart Power Distribution Grids by Mohammad Mehdi Sharifi Nevisi, Mehrdad Shoeibi, Francisco Hernando-Gallego, Diego Martín, Sarvenaz Sadat Khatami

“…The proposed DRL-NSABC model is evaluated using four benchmark datasets: smart grid, advanced metering infrastructure (AMI), smart meter, and Pecan Street, widely recognized in anomaly detection research. …”
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