TEACHING COMPUTATIONAL THINKING IN SAUDI ARABIAN SCHOOLS USING SMARTPHONE APPS by Abdullah Alenezi

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Judges versus artificial intelligence in juror decision-making in criminal trials: Evidence from two pre-registered experiments. by Eiichiro Watamura, Yichen Liu, Tomohiro Ioku

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Is human-like decision making explainable? Towards an explainable artificial intelligence for autonomous vehicles by Jiming Xie, Yan Zhang, Yaqin Qin, Bijun Wang, Shuai Dong, Ke Li, Yulan Xia

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DEVELOPING A CELIOTM PROGRAMMING LEARNING TOOL TO FACILIATE TEACHING AND LEARNING DATA STRUCTURE CONCEPTS IN C++ FOR NOVICE PROGRAMMERS by Adam B. Mtaho, Masoud M. Masoud, Leonard J. Mselle

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DIGITAL TOOLS FOR MATCHING QUALIFICATIONS TO THE LEVELS OF THE NATIONAL QUALIFICATIONS FRAMEWORK by Volodymyr Kovtunets, Sergiy Londar, Serhii Melnyk, Oles Kovtunets

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Bioinformatics insights into mitochondrial and immune gene regulation in Alzheimer's disease by Tian Meng, Yazhou Zhang, Yuan Ye, Hui Li, Yongsheng He

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Analisis Pengaruh Citra Terhadap Kombinasi Kriptografi RSA dan STEGANOGRAFi LSB by Agus Rakhmadi Mido, Erik Iman Heri Ujianto

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Experience on postmortem minimally invasive tissue sampling to ascertain the cause of death determination in South African children: A case for implementing as standard of care by J du Toit, K Storath, I Dunn, P Makekeng, M Moosa, K Mothibi, N Umuneza, C A Rees, D Blau, S Lala, Y Adam, S Velaphi, M Hale, P Swart, J Wadula, L Mothibi, A Wise, V Baba, P Jaglal, S Mahtab, S Madhi, Z Dangor

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SpatialLeiden: spatially aware Leiden clustering by Niklas Müller-Bötticher, Shashwat Sahay, Roland Eils, Naveed Ishaque

“…However, we show that by integrating spatial information at various steps Leiden clustering is rendered into a computationally highly performant, spatially aware clustering method that compares well with state-of-the art spatial clustering algorithms.…”
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Multimodal data integration in early-stage breast cancer by Arnau Llinas-Bertran, Maria Butjosa-Espín, Vittoria Barberi, Jose A. Seoane

“…However, existing knowledge does not fully encompass the diverse nature of breast cancer, particularly in triple-negative tumors.The integration of multi-omics and multimodal data has the potential to provide new insights into biological processes, to improve breast cancer patient stratification, enhance prognosis and response prediction, and identify new biomarkers.This review presents a comprehensive overview of the state-of-the-art multimodal (including molecular and image) data integration algorithms developed and with applicability to breast cancer stratification, prognosis, or biomarker identification. …”
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Refined photovoltaic parameters estimation via an improved Sinh Cosh Optimizer with trigonometric operators by Ala Saleh Alluhaidan, Diaa Salama AbdElminaam, Taraggy M. Ghanim, Sahar A. El-Rahman, Ibrahim Shawky Farahat, Arar Al Tawil, Yasmin Alkady, Walaa H. Elashmawi

“…The study also includes a comparative analysis using state-of-the-art algorithms, demonstrating I_SCHO’s efficiency through RMSE, Power Voltage (P-V) and Current Voltage (I-V) curves.…”
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Radiology in gastroenterology (According to data of the 16th Russian gastroenterological week, Moscow, October 11–13, 2010) by Z. A. Lemeshko

“…To reflect state-of-the-art of radiology in gastroenterology.Original positions. …”
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Discovering emergent connections in quantum physics research via dynamic word embeddings by Felix Frohnert, Xuemei Gu, Mario Krenn, Evert van Nieuwenburg

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Computationally expensive constrained problems via surrogate-assisted dynamic population evolutionary optimization by Zan Yang, Chen Jiang, Jiansheng Liu

“…Empirical studies demonstrate that the SDPOA achieves the best performance among all the compared state-of-the-art algorithms, and the SDPOA can obtain new structures with smaller compliance in the design of polyline-based core sandwich structures.…”
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Learning to Boost the Performance of Stable Nonlinear Systems by Luca Furieri, Clara Lucia Galimberti, Giancarlo Ferrari-Trecate

“…The growing scale and complexity of safety-critical control systems underscore the need to evolve current control architectures aiming for the unparalleled performances achievable through state-of-the-art optimization and machine learning algorithms. …”
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Exact makespan minimization of unrelated parallel machines by Åblad, Edvin, Strömberg, Ann-Brith, Spensieri, Domenico

“…Our computational studies indicate that the proposed algorithm is competitive with state-of-the-art methods on different types of instances. …”
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Image Quality Assessment Based on Multi-Scale Representation and Shifting Transformer by Geng Fu, Ziyu Wang, Cuijuan Zhang, Zerong Qi, Mingzheng Hu, Shujun Fu, Yunfeng Zhang

“…Image Quality Assessment (IQA) is a crucial metric for intelligent control systems and computer vision tasks, such as surveillance, restoration, and fingerprint identification, significantly advancing algorithm development in these areas. Recently, transformer-based algorithms have excelled in computer vision, particularly in image classification, surpassing convolutional neural network (CNN) methods. …”
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Evaluating the Performance of SVM, Isolation Forest, and DBSCAN for Anomaly Detection by Lu Haowen

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HairSplitter: haplotype assembly from long, noisy reads by Faure, Roland, Lavenier, Dominique, Flot, Jean-François

“…On noisy long reads, HairSplitter recovers more strains while being faster than state-of-the-art tools, both in the cases of viruses and bacteria. …”
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Hybrid intelligent optimization strategy of battery swapping station for electric vehicles based on reinforcement learning by Hongwei Yi, Huan Zhang, Jianghong Li, Yanling Zhao

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