Global and national university rankings: A multivariate analysis by Т. А. Salimova, I. А. Ivanova, Е. А. Sysoeva

“…These processes actualise the issues of possibilities for practical use of methodologies for calculation of global and national university rankings.The aim of the study was to develop and apply a methodological approach to multivariate the analysis of Higher Education Institutions (HEIs) classification procedures, to construct and analyse aggregated indicators for global and national rating systems of higher education organisations, and to assess the relationship between them.Methodology and research methods. …”
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On the Convective Environments, Modes, and Warning Verifications of Tornado‐ and Flash Flood‐Warned Storms in the Southeast United States by Daniel Burow, Kelsey Kressler, Zoe Searcy

“…The goal of these classifications was to use information about each storm's meteorological environment to identify (1) its mode and (2) whether the hazard warning(s) issued by the National Weather Service verified, or whether the warning was a “false alarm.” …”
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Translating and culturally adapting the sleep disturbance scale for children into Malayalam language: Enhancing pediatric health in the Indian context by Lekshmy S. R. Nair, Sageena George, S. Anandaraj, Deepak Jose, Deepthi Alice Philip, J. S. Anjali

“…Purpose: The sleep disturbance scale for children (SDSC) is a well-regarded tool for assessing pediatric sleep disorders, covering areas such as sleep initiation, breathing issues, and arousal disorders. The SDSC, known for its reliability and validity, has been adapted for various age groups and languages and aligns with the Association of Sleep Disorders Centers classification system. …”
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Individual Contribution-Based Spatial-Temporal Attention on Skeleton Sequences for Human Interaction Recognition by Xing Liu, Bo Gao

“…To address the above issues, we propose an innovative method by designing the individual contribution based spatial-temporal attention graph convolutional network. …”
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Cross-Modal Collaboration and Robust Feature Classifier for Open-Vocabulary 3D Object Detection by Hengsong Liu, Tongle Duan

“…Therefore, this paper aims to address two key issues in this area: how to localize and classify novel objects. …”
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Development of stress resistance (on an example of athletes’ training) by Altynay Kozhan, Meirimgul Yerkinbekova, Saltanat Omarova, Zhanar Turniyazova, Akmaral Davletova

“…During the research, various methodological tools were used, such as the logical analysis method, the comparative method, the synthesis and deduction methods, the classification method, and the questionnaire method. The scientific work reveals the results of the research in the form of a table showing the results of stress assessment in the group of athletes and students; Factors affecting psychological stability are described; The factors influencing the probability of development of post-traumatic stress disorder are presented. …”
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Do ‘language trees with sampled ancestors’ really support a ‘hybrid model’ for the origin of Indo-European? Thoughts on the most recent attempt at yet another IE phylogeny by Alexei S. Kassian, George Starostin

“…We show that the general quality of the lexical data used as the basis for classification has significantly improved from earlier studies, reflecting a more careful curation process on the part of qualified historical linguists involved in the project; however, there remain serious issues when it comes to marking cognation between different characters, such as failure (in many cases) to distinguish between true cognacy and areal diffusion and the inability to take into account the influence of the so-called derivational drift (independent morphological formations from the same root in languages belonging to different branches). …”
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Handling data sparsity via item metadata embedding into deep collaborative recommender system by Gopal Behera, Neeta Nain

“…Many investigations have been made to tackle some of these issues with the help of matrix factorization (MF) approaches. …”
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Approaches to Interstate Interaction of Circumpolar Countries in the Development of the Arctic by N. I. Didenko, D. F. Skripnuk, N. A. Konakhina

“…The research is based on the using the elements of empirical and theoretical methods for economic reality research.Results: the study presents the development of theoretical approaches to issues of interstate interaction in existing economic schools. …”
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Deep learning-based strategies for evaluating and enhancing university teaching quality by Ying Gao

“…This study aims to address these issues by leveraging deep learning techniques, specifically Convolutional Neural Networks (CNNs), to accurately assess and enhance the quality of university teaching. …”
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DEVELOPMENT OF CROWDFUNDING AS AN INNOVATIVE METHOD OF SOCIAL PROJECTS FUNDING by O. O. Zakharkin, L. S. Zakharkina, S. V. Pokhylko, O. S. Kreshchik

“…The meaningful notion of the crowdfunding and its classification features are investigated and specified, its strengths and weaknesses are analyzed. …”
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Sample selection using multi-task autoencoders in federated learning with non-IID data by Emre Ardıç, Yakup Genç

“…However, its performance is often hindered by redundant, malicious, or abnormal samples, leading to model degradation and inefficiency. To overcome these issues, we propose novel sample selection methods for image classification, employing a multi-task autoencoder to estimate sample contributions through loss and feature analysis. …”
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Hybrid-CID: Securing IoT with Mongoose Optimization by S. Merlin Sheeba, R. S. Shaji

“…However, security challenges arise due to the wide range of protocols and computational capabilities in IoT devices. To combat these issues, a novel hybrid optimization-enabled neural network for classification of intrusion data against IoT system (Hybrid-CID) is proposed particularly to identify intrusions in resource-constrained IoT devices. …”
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Blockchain Security in Focus: A Comprehensive Investigation Into Threats, Smart Contract Security, Cross-Chain Bridges, and Vulnerabilities Detection Tools and Techniques by Deepa Mishra, Shraddha Phansalkar

“…This paper centralizes on the security vulnerabilities, attacks, and challenges faced by blockchain systems, presenting an exhaustive taxonomical classification of blockchain layered security. It classifies diverse security issues across the different layers of blockchain architecture. …”
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Evaluation of the share of cultural and creative consumption in Iranian households in 2018 by Mohammad Vejdani, Mohammad Soleimani

“…One of the important issues that developing countries are looking for is moving from centralization to decentralization in the path of economic growth. …”
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Retrieving Encrypted Images Using Convolution Neural Network and Fully Homomorphic Encryption by Emad M. Alsaedi, Alaa kadhim Farhan

“…This paper aims to address the issues of accuracy utilizing deep learning techniques as the CNN method. …”
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Improving Local Fidelity and Interpretability of LIME by Replacing Only the Sampling Process With CVAE by Daisuke Yasui, Hiroshi Sato

“…To this end, we use a conditional variational autoencoder (CVAE) to modify the sampling of LIME in the classification task to improve local fidelity and interpretability. …”
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Anomaly Detection in Network Traffic via Cross-Domain Federated Graph Representation Learning by Yanli Zhao, Zongduo Liu, Junjie Pang

“…In addition, network traffic data are distributed across heterogeneous devices and domains, where centralized training methods face significant challenges such as data leakage and data silos. To address these issues, we propose a network traffic anomaly detection method based on cross-domain federated graph representation learning. …”
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Permutation Entropy for Signal Analysis by Bill Kay, Audun Myers, Thad Boydston, Emily Ellwein, Cameron Mackenzie, Iliana Alvarez, Erik Lentz

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Comparative study of imputation strategies to improve the sarcopenia prediction task by Shakhzod Karimov, Dilmurod Turimov, Wooseong Kim, Jiyoun Kim

“…Additionally, KNN and MICE emerged as effective imputation techniques, preserving the original data distribution and enabling more accurate classification outcomes. Conclusion This study underscores the pivotal role of imputation methods in maintaining data integrity and enhancing predictive accuracy in sarcopenia research. …”
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