Securing the metaverse: Machine learning–based perspectives on risk, trust, and governance by Krishnashree Achuthan, Sasangan Ramanathan, Raghu Raman

“…The rapid expansion of the metaverse presents significant cybersecurity and privacy challenges, requiring structured, data-driven analysis. This study applies the ADO-TCM framework and BERTopic modeling to examine drivers of cybersecurity risk, theoretical responses, and interdisciplinary research gaps. …”
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An integrated approach to the study of Achimov deposits within the South Tambey field (Western Siberia) by A. V. Chernov, A. G. Koshcheev, E. A. Potapova, A. Y. Smirnov, A. A. Pashinskiy, A. A. Rasskazov

“…CDP 3D seismic exploration work was completed using a modern full-azimuth observation system, and active drilling of exploration wells for Jurassic deposits in the slope parts of the main structures began. The objectives of the study were the interpretation of a 3D seismic cube covering most of the area of the site, seismic geological linking of data from the Achimov interval of the field with neighboring areas, including using the sequence stratigraphy method, accounting for the results of drilling wells for the pilot development of the Jurassic complex and the transit fund of prospecting and exploration wells, as well as the inclusion of the results of a petrophysical model in a first approximation for the Achimov reservoir interval of the South Tambey field. …”
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A Multi-Encoder BHTP Autoencoder for Robust Lithium Battery SOH Prediction Under Small-Sample Scenarios by Chang Liu, Shunli Wang, Zhiqiang Ma, Siyuan Guo, Yixiong Qin

“…Furthermore, a BHTP module is integrated to facilitate feature fusion and enhance the model’s stability and interpretability. By utilizing a pre-training and fine-tuning strategy, the proposed method effectively reduces computational complexity and the number of model parameters while maintaining high prediction accuracy. …”
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Nuclear Waste Management Decision-Making Support with MCDA by A. Schwenk-Ferrero, A. Andrianov

“…Additionally, major aspects of a decision-making aid are identified and discussed in separate paper sections dedicated to application context, decision supporting process, in particular problem structuring, objective hierarchy, performance evaluation modeling, sensitivity/robustness analyses, and interpretation of results (practical impact). …”
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A simple yet effective approach for predicting disease spread using mathematically-inspired diffusion-informed neural networks by ByeongChang Jeong, Yeon Ju Lee, Cheol E. Han

“…GCNs are a recent deep learning algorithm designed to learn spatial relationship from graph-structured data. We applied the model to COVID-19 incidences in Spain to evaluate its performance. …”
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To Study the Hydrological System and Watershed by Using Remote Sensing (RS) and Geographic Information System (GIS) in Kannad Taluka, Aurangabad District, MS, India by Eman Mohammed Garoon, Sultan Abduh Al-Horaibi, Mahadeo B. Mule

“…The current study in this research focuses on the importance of the digital elevation model (DEM) and satellite images to evaluate and interpret the relative parameters of watersheds in Kannad taluka, Aurangabad district, India. …”
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Progress and trends on machine learning in proteomics during 1997-2024: a bibliometric analysis by Chao Tan, Hao Liu, Zhen Zhang, Xinyu Liu, Yinquan Ai, Xiumin Wu, Enlin Jian, Yongyan Song, Jin Yang

“…High-impact journals and influential authors were also identified, providing benchmarks for academic influence and collaboration.ConclusionThis study offers the first comprehensive bibliometric analysis of ML in proteomics, revealing key themes such as deep learning, pretrained models, and multi-omics integration. Future efforts should focus on building interpretable models, enhancing cross-disciplinary collaboration, and ensuring secure, standardized data use to advance precision medicine.Systematic review registrationhttps://doi.org/10.17605/OSF.IO/F4WUG.…”
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Difficulties in Emotion Regulation Scale-Short Form (DERS-SF): Psychometric Validation and Measurement Invariance Testing in a Sample of Urban Indian Adolescents by Naseer A. Bhat, Bangalore N. Roopesh, Binukumar Bhaskarapillai, Srinivasan Chokkanathan, Vivek Benegal

“…Results: The six-factor model of the DERS-SF exhibited an acceptable model fit in the current study sample. …”
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Machine Learning Recognizes Stages of Parkinson’s Disease Using Magnetic Resonance Imaging by Artur Chudzik

“…Models used volumes, Euclidean, and Cosine distances of subcortical brain structures relative to the thalamus to differentiate among control (HC), prodromal (PR), and PD groups. …”
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Direct evidence of coupling between charge density wave and Kondo lattice in ferromagnet Fe5GeTe2 by Parry Pei-Rui Luo, Hung-Chang Hsu, Li-Sheng Lin, Hao-Yu Chen, Xiang-Yu Xie, Chia-Nung Kuo, Jyh-Pin Chou, Chin-Shan Lue, Ya-Ping Chiu

“…Furthermore, formations of Kondo holes at defect sites underscore the influence of Kondo interaction on local electronic structures. To unveil the robust correlation between CDW and Kondo lattice behavior, we analyze the CDW modulation and develop a theoretical model to interpret their robust coupling. …”
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Specifics of Educational Texts Selection for Schoolchildren Doing the Humanities Subjects by T. V. Oblasova

“…The educational text is taken as a generalized model, its content and structure determining the scheme of a speech cognitive activity, as well as the meaning formation mechanism responsible for understanding and personal development. …”
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Analisis Rasio Keuangan Terhadap Harga Saham Dengan Nilai Perusahaan Sebagai Variabel Moderasi Pada Perusahaan Makanan dan Minuman yang terdaftar di ISSI Tahun 2017-2020 by Isnantiya Sofitriana, Rifda Nabila

“…The analysis included stationarity tests, path models, measurement (outer) model tests, structural (inner) model tests, model fit tests and interpretation model tests. …”
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Advancing organic photovoltaic materials by machine learning-driven design with polymer-unit fingerprints by Xiumin Liu, Xinyue Zhang, Ye Sheng, Zihe Zhang, Pan Xiong, Xuehai Ju, Junwu Zhu, Caichao Ye

“…PUFp facilitated the interpretability of structure-property relationships, enabling PCE predictions of conjugated polymers/macromolecules formed by the combination of donor (D) and acceptor (A) units. …”
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PHENOMENON OF CORPOREALITY IN UKRAINIAN MODERN NOVELS by Tetiana Byshenko

“…Wynnychuk and V. Lys. The proposed model for analyzing artistic text is universal, and can be actively used to interpret novels, in which the body acts as a narrator, regardless of whether the novel itself is an erotic. …”
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Comparative Analysis of Explainable AI Methods for Manufacturing Defect Prediction: A Mathematical Perspective by Gabriel Marín Díaz

“…This approach provides both global and local interpretability, revealing consistent variables across predictive and structural perspectives. …”
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Numerical Simulation of Time-Varying Characteristics in a High-Permeability Sandstone Reservoir: A Case of Gaoqian Southern Area by Hui Xu, Guofeng Cheng, Nannan Liu, Lizhi Wang, Zhenghuai Guo, Xiang Wang, Xiangji Dou, Juan Li, Shangping Chen, Xing Shi

“…In addition, this paper established the equations of water injection, permeability, irreducible water saturation, residual oil saturation, and oil-water relative permeability curve coefficient and establishes the initial permeability model with the well data before water flooding. The logging interpretation results of development wells in the process of water flooding as verification data were used, and the relative error of permeability far lower than the general requirement of permeability error within an order of magnitude was less than 30%, which verified the rationality of the method.…”
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Episodic sexual transmission of HIV revealed by molecular phylodynamics. by Fraser Lewis, Gareth J Hughes, Andrew Rambaut, Anton Pozniak, Andrew J Leigh Brown

“…<h4>Background</h4>The structure of sexual contact networks plays a key role in the epidemiology of sexually transmitted infections, and their reconstruction from interview data has provided valuable insights into the spread of infection. …”
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Detection of fractured zones, faults, and cavities by high resolution muon tomography in the Buda Hills by László Balázs, Gergő Hamar, Ádám Csicsek, Gergely Surányi, Dezső Varga

“…This case study demonstrates that muographic method is capable to obtain an accurate 3D picture of the density anomalous fracture system in carbonates for a rock thickness up to 100 m, that can very useful and unique contribution to geological interpretation and geological model building.…”
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Validation of a Spanish-Language Scale on Data-Driven Decision-Making in Pre-Service Teachers by Fabián Sandoval-Ríos, Carola Cabezas-Orellana, Juan Antonio López-Núñez

“…Results supported a well-defined four-factor structure: Interpretation and Application, Technology, Identification, and Anxiety. …”
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CLUSTER ANALYSIS OF INTEGRATED “DRUG SUPPLY” CONCEPT by G. S. Barkaev, T. I. Kabakova, A. B. Goryachev

“…The aim of the article is the structure and content specification of the subject area professional term “drug supply” in order to deepen and concretize the conceptual apparatus in the field of the pharmaceutical activity.Materials and methods. …”
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