Measuring transducers for optical diagnostic system with multifunctional unitary photovoltaic converters by R. I. Vorobei, O. K. Gusev, A. I. Svistun, A. K. Tyavlovsky, K. L. Tyavlovsky, L. I. Shadurskaya

“…Traditional solution of this problem lies in the field of multi-sensory systems, complex optical schemes and complex signal processing algorithms. The paper aims at the development of new measuring transducers for optical diagnostic system on a basis of multifunctional unitary photovoltaic converters built on semiconductors with low-concentration deep dopants that form multiple energy levels for different charge states in the band gap. …”
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Human-Centered AI for Migrant Integration Through LLM and RAG Optimization by Dagoberto Castellanos-Nieves, Luis García-Forte

“…Traditionally, the focus on algorithms alone has shifted toward a more comprehensive understanding of AI’s potential to shape technology in ways which better serve human needs, particularly for disadvantaged groups. …”
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Identifying Suicidal Ideation Through Automatic Extraction of Emotional Traces in Suicide Notes by Angel Hernandez-Castaneda, Rene Arnulfo Garcia-Hernandez, Yulia Ledeneva

“…The primary objective of this study is to classify suicide notes based on their emotional content using machine and deep learning algorithms. We propose an innovative approach to automatically identify emotional changes in a suicide note’s content, leveraging these shifts as key indicators of suicidal ideation. …”
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Structured Summarization of League of Legends Match Data Optimized for Large Language Model Input by Jooyoung Kim, Wonkyung Lee, Jungwoon Park

“…This method enables LLMs to generate coherent match summaries, analyze player performances, and identify key momentum shifts more effectively than processing raw JSON files. …”
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A comprehensive review of flood damage in mountainous regions: challenges, solutions, and advanced management technologies by Mohammad Roohi, Jila Dehghani, Maryam Irani, Paramiss Mina

“…The results show that floods in mountainous regions have become more frequent and intense due to climate change, with earlier snowmelt and altered precipitation patterns leading to shifts in the timing of flood events. These changes underscore the urgent need for innovative damage mitigation strategies. …”
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Explaining distortions in metacognition with an attractor network model of decision uncertainty. by Nadim A A Atiya, Quentin J M Huys, Raymond J Dolan, Stephen M Fleming

“…One reason for this is that models of key components of metacognition, such as decision confidence, are generally specified at an algorithmic or process level. While such models can be used to relate brain function to psychopathology, they are difficult to map to a neurobiological mechanism. …”
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Deep Reinforcement Learning for RIS-Assisted Multi-UAV MU-MISO Communication Networks: Sum-Rate and Energy Efficiency Maximization by Alif Rahmatullah Umar, Hasan Albinsaid, Chia-Po Wei, Chih-Peng Li

“…By jointly optimizing UAV coordinates, the transmit beamforming matrix, and RIS phase shifts, our method achieves significant performance improvements under dynamic environmental conditions. …”
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MulLeak: Exploiting Multiply Instruction Leakage to Attack the Stack-optimized Kyber Implementation on Cortex-M4 by Fan Huang, Xiaolin Duan, Chengcong Hu, Mengce Zheng, Honggang Hu

“…This research underscores the potential vulnerabilities in PQC implementations against side-channel attacks and contributes to the ongoing discourse on the physical security of cryptographic algorithms. …”
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Vibration monitoring of masonry bridges to assess damage under changing temperature by Paolo Borlenghi, Antonella Saisi, Carmelo Gentile

“…Pseudo-experimental monitoring data, referring to a historical masonry viaduct, were generated and used to exemplify the reliability and accuracy of the developed algorithms in detecting and localizing damage.…”
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Spatiotemporal Trends and Zoning Geospatial Assessment in China’s Offshore Mariculture (2018–2022) by Zewen Mo, Yulin Chen, Xuan Zhang, Zhipan Wang, Qingling Zhang

“…This study utilizes high-resolution remote sensing data (2017–2023) and advanced ConvNeXt V2 algorithms to quantitatively analyze the spatiotemporal dynamics of offshore mariculture and explore its spatial distribution in relation to marine functional zoning policies. …”
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Updated ACMG/AMP specifications for variant interpretation and gene curations from the ClinGen RASopathy expert panels by Emma H. Wilcox, Ryan F. Webb, Kezang C. Tshering, Madeline Y. Hughes, Hélène Cavé, Marina T. DiStefano, Hannah Dziadzio, Kate Garber, Bruce D. Gelb, Karen W. Gripp, Shoji Ichikawa, Jennifer A. Lee, Hannah McCurry, Marco Tartaglia, Bradley Williams, Martin Zenker, Lisa M. Vincent, Heather Mason-Suares, Bradley Williams, Bruce Gelb, Hannah Dziadzio, Heather Mason-Suares, Hélène Cavé, Jennifer Lee, Karen Gripp, Kat Lafferty, Kezang Tshering, Lisa Vincent, Luis Enrique Gomez, Marco Tartaglia, Marina DiStefano, Martin Zenker, Reza Ahmadian, Ryan Webb, Shoji Ichikawa

“…Assessment of variants demonstrated no major shifts in classifications compared with previous RAS VCEP or ClinVar classifications. …”
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How Non-CS preservice teachers conceptualize and engage with computational thinking through 3D game design: Insights from an XR-enhanced maker experience by Tugce Aldemir, Jewoong Moon, Ali Bicer, Gyuri Byun, Carlos Manrique Perez, Vivek Sabanwar

“…Findings suggest that design tasks encouraged shifts from surface-level CT definitions to more applied reasoning, particularly in decomposition and algorithmic thinking during storyboard development. …”
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Deep learning in next-generation vaccine development for infectious diseases by Manojit Bhattacharya, Yi-Hao Lo, Srijan Chatterjee, Arpita Das, Zhi-Hong Wen, Chiranjib Chakraborty

“…Again, it also highlighted recent paradigm shifts, DL-based strategies in vaccine development, and different DL-based tools used for epitope mapping and vaccine construct development. …”
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A data-centric and interpretable EEG framework for depression severity grading using SHAP-based insights by Anruo Shen, Jingnan Sun, Xiaogang Chen, Xiaorong Gao

“…Conclusion This study proposes a data-centric, interpretable depression grading system built on large-scale, multi-center EEG data, using simple models and hybrid feature selection to emphasize explainability, generalizability and data fidelity. By shifting the focus from algorithmic complexity to data transparency and feature-level insight, the model offers a practical and trustworthy path toward real-world mental health assessment.…”
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High-parameter immunophenotyping reveals distinct immune cell profiles in pruritic dogs and cats by Erin McDonald, Eric Kehoe, Darcy Deines, Mary McCarthy, Brie Wright, Susan Huse

“…Our analysis uses machine learning and statistical algorithms to perform unsupervised clustering, multiple visualizations, and statistical analysis of high parameter flow cytometry data. …”
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Game Narratives as Tools for Shaping Political Discourse Amidst Information Wars: The Case of the Ukrainian Conflict by Daniil A. Fedotov, Stanislav I. Kaminsky

“…The methodology of the study is based on the synthesis of narrative, semiotic and discourse analysis of game annotations, algorithmic study of game mechanics, expert assessments and longitudinal monitoring. …”
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Developmental trends in headache: an Italian school-based study of age- and gender-related changes in clinical characteristics and burden from childhood to adolescence by Federico Salfi, Gennaro Saporito, Simone Cesarano, Federica Guerra, Pamela Silva, Dina Di Giacomo, Elisabetta Tozzi, Michele Ferrara, Bruno Colombo, Francesca Pistoia

“…Objective: Our aim was to explore the age- and gender-related changes in the characteristics and burden of headaches from childhood to adolescence, with a focus on diagnostic shifts, frequency, intensity, and quality-of-life. …”
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Evaluating visitor perception and spatial preferences of various museums based on machine learning from 2016 to 2024. by Yuandi Jiang, Kalyna Pashkevych, Shibo Bi

“…Kernel density and standard deviational ellipse methods revealed the spatio-temporal evolution of museum space preferences (2016-2024). TF-IDF and LDA algorithms identified key image perception themes. Visitor satisfaction was then evaluated with SnowNLP sentiment analysis to examine the dynamic correlation between the perception themes and satisfaction. …”
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Assessing the Effects of Climate Change and Land‐Use Changes on Extreme Discharge in the Western Watershed of Lake Urmia, Iran by Ghasem Farahmand, Behzad Hessari, Hossein Salehi

“…Employing machine learning algorithms (e.g., SVM), stochastic models (e.g., CA‐MARKOV), ERA5 reanalysis climate data, and the large‐scale hydrological VIC model, we assessed these effects across multiple sub‐basins. …”
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Conceptual model of collaborative pharmaceutical practice in healthcare and social care for the elderly by Ilić Velibor O., Marinković Valentina, Tasić Ljiljana

“…In the new millennium, the focus has been increasingly shifting to optimisation by enhancing the collaborative (common, joint) practice of healthcare professionals, for the purpose of achieving effectiveness and efficiency. …”
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