Modern information and communication technologies in professional training of sociology students: Evolving needs and significance in the digital age by Liudmila V. Kalashnikova, Alla S. Lobanova, Iryna V. Hrabovets, Liudmila S. Chernous, Viktoria A. Chorna, Yevhen O. Davydenko

“…Critical digital pedagogy frameworks and contemporary learning theories are discussed as foundations for effective technology integration. We conclude that the core component of digital literacy for sociology specialists involves developing algorithmic thinking and the ability to select and implement appropriate technology solutions for various research needs. …”
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Leveraging automated time-lapse microscopy coupled with deep learning to automate colony forming assay by Anusha Klett, Anusha Klett, Dennis Raith, Dennis Raith, Paula Silvestrini, Paula Silvestrini, Paula Silvestrini, Matías Stingl, Jonas Bermeitinger, Avani Sapre, Avani Sapre, Avani Sapre, Martin Condor, Roman Melachrinos, Mira Kusterer, Alexandra Brand, Guido Pisani, Guido Pisani, Evelyn Ullrich, Evelyn Ullrich, Evelyn Ullrich, Evelyn Ullrich, Marie Follo, Marie Follo, Jesús Duque-Afonso, Roland Mertelsmann, Roland Mertelsmann

“…Furthermore, it allows detailed, long-term studies of cell-cell interactions and treatment responses using live-cell imaging and AI-assisted cell tracking. DiscussionFuture integration with a perfusion-based drug screening system promises to enhance personalized cancer therapy by optimizing broad drug screening approaches and enabling real-time evaluation of therapeutic efficacy.…”
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Introducing a novel 3D Chen-Rössler map for NTRU-based image encryption with OFDM transmission over a noisy channel by Alain F. Djomo, Lee Mariel H. Yepdia, Yannick P. K. Nkandeu, Yannick A. Abanda, Alain Tiedeu

“…Abstract Data integrity and security issues are worsening with the emergence of new technologies such as 5G, IoT, AI, and Cloud. …”
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Engagement-Oriented Dynamic Difficulty Adjustment by Qingwei Mi, Tianhan Gao

“…Its real-time monitoring algorithm and common parameter set are effective in quantifying and preventing player churn. …”
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Development and validation of computer-aided detection for colorectal neoplasms using deep learning incorporated with computed tomography colonography by Shungo Endo, Koichi Nagata, Kenichi Utano, Satoshi Nozu, Takaaki Yasuda, Ken Takabayashi, Michiaki Hirayama, Kazutomo Togashi, Hiromasa Ohira

“…Conclusions The sensitivity of CT colonography images using the AI algorithm was improved by integrating evaluations in two positions. …”
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A Method for Trust-Based Collaborative Smart Device Selection and Resource Allocation in the Financial Internet of Things by Bo Wang, Jiesheng Wang, Mingchu Li

“…Moreover, the limited resources available in the FIoT, combined with the extensive deployment of AI algorithms, can significantly reduce overall system availability. …”
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Using Masked Image Modelling Transformer Architecture for Laparoscopic Surgical Tool Classification and Localization by Hisham ElMoaqet, Rami Janini, Mutaz Ryalat, Ghaith Al-Refai, Tamer Abdulbaki Alshirbaji, Nour Aldeen Jalal, Thomas Neumuth, Knut Moeller, Nassir Navab

“…One such area involves developing integrated AI-based systems to assist in laparoscopic surgery. …”
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Outage reduction in 5G uplink cooperative NOMA using PSO-optimized relay selection and successive interference cancelation by David S. Bhatti, M. Asif Haroon, Haeung Choi, Seungmin Kim, Heung-No Lee

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Transformative applications in biology education: A case study on the efficacy of adaptive learning with numerical insights by Shin I. Aleksandrovich, Tyan Ramazan, Raissa Utegaliyeva, Balzat Sarimbayeva, Gaukhar Keubassova, Rakhima Bissalyyeva, Kuanysh Syman, Gaukhar Abdikarimova

“…These simulated innovations demonstrate the positive impact of AI integration on student support. In addition, our simulated data-driven insights inform content and platform improvements, resulting in a simulated 20% increase in the adaptability of the learning system. …”
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Machine learning-based detection of medical service anomalies: Kazakhstan’s health insurance data by Maksut Kulzhanov, Alexander Wagner, Abylkair Skakov, Iliyas Mukhamejan, Saya Zhorabek, Ainur B. Qumar

“…This approach can significantly enhance the transparency, accuracy, and accountability of healthcare financing in Kazakhstan, laying the groundwork for broader AI integration in national health systems.…”
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Hybrid Intelligence approach to study post-processing impact on the mechanical performance of notched additively manufactured AlSi10Mg by Erfan Maleki, Sara Bagherifard, Okan Unal, Mario Guagliano

“…In parallel, Artificial Intelligence (AI), utilizing advanced machine learning (ML) algorithms, performed tasks related to prediction, sensitivity analysis, and parametric analysis. …”
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The Role of Pharmacometrics in Advancing the Therapies for Autoimmune Diseases by Artur Świerczek, Dominika Batko, Elżbieta Wyska

“…<b>Conclusions</b>: Pharmacometrics plays a crucial role in bridging pre-clinical findings and clinical applications, driving more personalized and effective treatments for AIDs. Its integration into DDD and translational science, in combination with AI and ML algorithms, holds promise for advancing therapeutic strategies and improving autoimmune patients’ outcomes.…”
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Recent Advances in Resistive Gas Sensors: Fundamentals, Material and Device Design, and Intelligent Applications by Peiqingfeng Wang, Shusheng Xu, Xuerong Shi, Jiaqing Zhu, Haichao Xiong, Huimin Wen

“…Resistive gas sensors have attracted significant attention due to their simple architecture, low cost, and ease of integration, with widespread applications in environmental monitoring, industrial safety, and healthcare diagnostics. …”
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Understanding the evolution of a de novo molecule generator via characteristic functional group monitoring by Takehiro Fujita, Kei Terayama, Masato Sumita, Ryo Tamura, Yasuyuki Nakamura, Masanobu Naito, Koji Tsuda

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Intelligent Wireless Power Scheduling for Lunar Multienergy Systems: Deep Reinforcement Learning for Real-Time Adaptive Beam Steering and Vehicle-to-Grid Energy Optimization by Thomas Tongxin Li, Shuangqi Li, Cynthia Xin Ding, Zhaoyao Bao, Mohannad Alhazmi

“…This study represents a novel advancement in lunar power infrastructure, integrating AI–driven adaptive WPT with intelligent energy scheduling to enhance V2G interactions in extraterrestrial environments. …”
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DAG-based swarm learning: A secure asynchronous learning framework for Internet of Vehicles by Xiaoge Huang, Hongbo Yin, Qianbin Chen, Yu Zeng, Jianfeng Yao

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Emerging Technologies Driving Zero Trust Maturity Across Industries by Hrishikesh Joshi

“…The rapid pace of innovation introduces complexities in maintaining continuous verification and least-privilege access across hybrid and multi-cloud environments. Furthermore, the integration of AI and machine learning in Zero Trust frameworks raises questions about data privacy, algorithmic bias, and the need for explainable security decisions. …”
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Digitalization of human resource management: current trends and challenges for Russian enterprises by Mikhail K. Chernyakov, Irina A. Chernyakova

“…These include employee resistance to change, cybersecurity risks, the need to revise labor standards, and ethical concerns related to the use of AI algorithms. Special attention is given to regional specifics: while large companies actively adopt innovations, small and medium-sized businesses lag due to high technology costs and a shortage of qualified personnel. …”
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Artificial intelligence-augmented smart grid architecture for cyber intrusion detection and mitigation in electric vehicle charging infrastructure by Ankita Sharma, Shalli Rani, Mohammad Shabaz

“…The proposed framework identifies key cybersecurity threats, including cyber-physical vulnerabilities and software-based attacks targeting EV charging infrastructure. It incorporates AI-driven security models and anomaly detection algorithms to enhance grid resilience and optimize energy utilization. …”
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Deep learning for air pollution detection: Analyzing scots pine needles with SEM/EDS by Mirosław Szwed, Witold Żukowski, Dariusz Pasieka

“…The use of artificial intelligence, using the analysis of surface images of selected air pollution indicators to build a machine learning algorithm, allowed to develop an inexpensive and effective method of identifying hazardous substances. …”
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