Why School Olympiad Winners Are Excluded from Highly Selective Universities by Elena V. Gorbunova, Ekaterina V. Mayukova, Elena V. Ovakimyan, Danila M. Pavliuk

“…The study is carried out using a qualitative methodology, based on interviews with the organizers of the Olympiad movement and students of the Department of Mathematics and the Department of Computer Science. The individual and institutional reasons for the expulsion of students-winners of the Olympiads are singled out and the recommendations are proposed to reduce the dropout rate.…”
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Bibliometric analysis of ICT research in South Africa by Vusumuzi Malele, Sello Prince Sekwatlakwatla

“…It gives students a thorough grasp of computer science, emphasizing modern software development techniques used in the IT sector. …”
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Feasibility Study of the Time Reversal Symmetry Tests in Decay of Metastable Positronium Atoms with the J-PET Detector by A. Gajos, C. Curceanu, E. Czerwiński, K. Dulski, M. Gorgol, N. Gupta-Sharma, B. C. Hiesmayr, B. Jasińska, K. Kacprzak, Ł. Kapłon, D. Kisielewska, G. Korcyl, P. Kowalski, T. Kozik, W. Krzemień, E. Kubicz, M. Mohammed, Sz. Niedźwiecki, M. Pałka, M. Pawlik-Niedźwiecka, L. Raczyński, J. Raj, Z. Rudy, S. Sharma, Shivani, R. Shopa, M. Silarski, M. Skurzok, W. Wiślicki, B. Zgardzińska, M. Zieliński, P. Moskal

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On a Class of Discrete Max-Type Difference Equation Model of Order Four by A. M. Alotaibi, Abdul Khaliq, Muhammad Ali, Stephen Sadiq

“…As a type of discrete model, the difference equation model has been widely employed in domains such as algorithm analysis, signal processing, biology, economics, and computer science. The global dynamical behavior of a class of discrete models known as the max-type difference equation model is the subject of the research. …”
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Assessment and Classification of Service Learning: A Case Study of CS/EE Students by Han-Ying Kao, Yu-Tseng Wang, Chia-Hui Huang, Pao-Lien Lai, Jen-Yeu Chen

“…This study investigates the undergraduate students in computer science/electric engineering (CS/EE) in Taiwan to measure their perceived benefits from the experiences in service learning coursework. …”
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A hierarchy model on the research fields of cyberspace security technology by Bin-xing FANG

“…Cyberspace security is an interdisciplinary subject involved with computer science and technology,in-formation and communication engineering,control science and engineering and cryptography.It has an explicit and in-depth discipline connotation.First,the concepts of cyberspace security were advanced,and the definition was given.Then,a hierarchy model of cyberspace security was proposed.Based on the model,the details technologies of eight research fields of cyberspace security including information security,information secrecy,information coun-termeasure,cloud security,big data,IOT security,mobile security,and trustable computing were presented.New guidance and experience for the research in cyberspace security could be taken as.…”
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ARTigo: Data from Social Tagging with Art-historical Images by Stefanie Schneider

“…The ARTigo dataset, generated from over 10 million annotations, is a product of a citizen science project developed by the Institute of Art History and the Institute of Computer Science at LMU Munich. The project leverages Games with a Purpose (GWAPs) to foster a playful environment for tagging artworks. …”
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Modification of Nonlinear Conjugate Gradient Method with Weak Wolfe-Powell Line Search by Ahmad Alhawarat, Zabidin Salleh

“…Based on its simple algorithm, low memory requirement, and the speed of obtaining the solution, this method is widely used in many fields, such as engineering, computer science, and medical science. In this paper, we modified CG method to achieve the global convergence with various line searches. …”
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A Comparative Study of Cross-Device Finger Vein Recognition Using Classical and Deep Learning Approaches by Tuğçe Arıcan, Raymond Veldhuis, Luuk Spreeuwers, Loïc Bergeron, Christoph Busch, Ehsaneddin Jalilian, Christof Kauba, Simon Kirchgasser, Sébastien Marcel, Bernhard Prommegger, Kiran Raja, Raghavendra Ramachandra, Andreas Uhl

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Author Correction: AI based predictive acceptability model for effective vaccine delivery in healthcare systems by Muhammad Shuaib Qureshi, Muhammad Bilal Qureshi, Urooj Iqrar, Ali Raza, Yazeed Yasin Ghadi, Nisreen Innab, Masoud Alajmi, Ayman Qahmash

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Development of a model for detection and analysis of inclusions in tomographic images of iron castings using decision trees by Dorota Wilk-Kołodziejczyk, Aleksandra Nowotny, Izabela Krzak, Adam Tchórz, Krzysztof Jaśkowiec, Marcin Małysza, Adam Bitka, Mirosław Głowacki, Marzanna Książek, Łukasz Marcjan

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Non-Invasive Cancer Detection Using Blood Test and Predictive Modeling Approach by Tarawneh AS, Al Omari AK, Al-khlifeh EM, Tarawneh FS, Alghamdi M, Alrowaily MA, Alkhazi IS, Hassanat AB

“…Ahmad S Tarawneh,1 Ahmad K Al Omari,2,3 Enas M Al-khlifeh,4 Fatimah S Tarawneh,5 Mansoor Alghamdi,6 Majed Abdullah Alrowaily,7 Ibrahim S Alkhazi,8 Ahmad B Hassanat1 1Department of Information Technology, Mutah University, Al-Karak, Jordan; 2Department of Nursing, Jordanian Royal Medical Services, Amman, Jordan; 3Department of Nursing, The University of Jordan, Amman, Jordan; 4Department of Applied Biology, Al-Balqa Applied University, Salt, Jordan; 5Department of Nursing, Princess Muna College of Nursing, Mutah University, Al-Karak, Jordan; 6Department of Computer Science, Applied College, University of Tabuk, Tabuk, Saudi Arabia; 7Department of Computer Science, College of Computer and Information Sciences, Jouf University, Sakaka, Saudi Arabia; 8Department of Computer Science, College of Computers and Information Technology, University of Tabuk, Tabuk, Saudi ArabiaCorrespondence: Enas M Al-khlifeh, Department of Applied Biology, Al-Balqa Applied University, Salt, Jordan, Tel +962792007289, Email Al-khlifeh.en@bau.edu.joPurpose: The incidence of cancer, which is a serious public health concern, is increasing. …”
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Fake Detect: A Deep Learning Ensemble Model for Fake News Detection by Nida Aslam, Irfan Ullah Khan, Farah Salem Alotaibi, Lama Abdulaziz Aldaej, Asma Khaled Aldubaikil

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Multi-object coaxial imaging with an Airy beam array by Qi Zhou, Yanfeng Bai, Wei Tan, Xiaohui Zhu, Xiaoqian Liang, Jian Li, Xianwei Huang, Xiquan Fu

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Fast Transfer Navigation for Autonomous Robots by Chen Wang, Xudong Li, Xiaolin Tao, Kai Ling, Quhui Liu, Gan Tao

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Deep Learning in Nuclear Industry: A Survey by Chenwei Tang, Caiyang Yu, Yi Gao, Jianming Chen, Jiaming Yang, Jiuling Lang, Chuan Liu, Ling Zhong, Zhenan He, Jiancheng Lv

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Improving Sleep Disorder Diagnosis Through Optimized Machine Learning Approaches by Md. Atiqur Rahman, Israt Jahan, Maheen Islam, Taskeed Jabid, Md Sawkat Ali, Mohammad Rifat Ahmmad Rashid, Mohammad Manzurul Islam, Md. Hasanul Ferdaus, Md Mostofa Kamal Rasel, Mahmuda Rawnak Jahan, Shayla Sharmin, Tanzina Afroz Rimi, Atia Sanjida Talukder, Md. Mafiul Hasan Matin, M. Ameer Ali

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Structural Bioinformatics: exciting times in a rapidly evolving field by Cláudio M. Soares, Diana Lousa

“…Structural Bioinformatics is a multidisciplinary field at the intersection of chemistry, physics, biology, and computer science. Its methods and approaches have been crucial in advancing scientific knowledge and breaking new ground. …”
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Greedy algorithms: a review and open problems by Andrea García

“…Abstract Greedy algorithms are a fundamental class of mathematics and computer science algorithms, defined by their iterative approach of making locally optimal decisions to approximate global optima. …”
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Linguistes de terrain en quête d’éthique : de l’archivage numérique insouciant à la réflexivité permanente by Alexis Michaud, Camille Noûs

“…The time frame coincides with two decades of spectacular progress in computer science, and in particular in natural language processing. …”
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