Outside the social making of interoperability: Problematizing the absence of civil society in border security R&D programmes by Clemens Binder, Bruno Oliveira Martins, Lise Endregard Hemat

“…Additionally, and in line with our socio-technical approach to the topic, our findings show how interoperability is a polysemic concept that different actors understand in very different ways, opening up for negotiation and political contestation. …”
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Expanding kinetoplastid genome annotation through protein structure comparison. by Juan Manuel Trinidad-Barnech, José Sotelo-Silveira, Darío Fernández Do Porto, Pablo Smircich

“…Recently, significant advancements have been made in in-silico protein structure prediction and algorithms for rapid and precise large-scale protein structure comparisons. …”
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Spectral Method of Measuring of Changes in Time Intervals between Periodic Pulse Sequences by A. A. Sheinikov, A. V. Isaev, V. V. Zelenko, Yu. V. Sukhodolov

“…Using the proposed approach opens up the possibility of improving the algorithmic support of measuring instruments in order to automate them and increase the measurements accuracy.…”
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AI-Based Linguistic Frameworks for Monitoring Physical Health, Sports Performance, and Educational Contexts by Rakhimov Vladimir, Saidnazarov Ulugbek, Mustafaev Ispandiyar

“…Advancements in discourse analysis techniques on health and sports data streams are challenging traditional conceptions of diagnostic validity and educational feedback systems, and in the process, opening up windows of opportunity for redefining the interpretive logics associated with language-mediated monitoring systems. …”
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Polymeric Memristors as Entropy Sources for Probabilistic Bit Generation by Stephen H. Foulger, Yuriy Bandera, Igor Luzinov, Travis Wanless

“…The study of p‐bits generated from pTPADTP opens new avenues for advancing both the theory and practice of computation, where uncertainty and randomness are harnessed as valuable computational resources.…”
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Dynamic Sharding and Monte Carlo for Post-Quantum Blockchain Resilience by Dahhak Hajar, Nadia Afifi, Imane Hilal

“…Previous research also found that post-quantum blockchains, despite their improved cryptographic algorithms, are still vulnerable to DDoS attacks, emphasizing the need for more resilient architectural solutions. …”
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Designing a System Architecture for Dynamic Data Collection as a Foundation for Knowledge Modeling in Industry by Edmund Radlbauer, Thomas Moser, Markus Wagner

“…This leads to more efficient process control and opens new perspectives for managing and analyzing big data in production environments. …”
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The Convergence of AI and animal-inspired robots for ecological conservation by Naqash Afzal, Mobeen ur Rehman, Lakmal Seneviratne, Irfan Hussain

“…AI algorithms deployed on interactive animal robots can continuously analyze real-time data from the field, allowing for dynamic adjustments in conservation approaches based on emerging patterns and threats. …”
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Use of artificial intelligence in the diagnosis, treatment and surveillance of patients with kidney cancer by E. Yu. Timofeeva, С. R. Azilgareeva, A. O. Morozov, M. S. Taratkin, D. V. Enikeev

“…The implementation of AI in medical practise opens new perspectives for the interpretation and understanding of complex data inaccessible to clinicians.…”
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Using New Technologies to Analyze Gut Microbiota and Predict Cancer Risk by Mohammad Amin Hemmati, Marzieh Monemi, Shima Asli, Sina Mohammadi, Behina Foroozanmehr, Dariush Haghmorad, Valentyn Oksenych, Majid Eslami

“…Early detection is made easier by machine learning algorithms that improve the categorization of cancer kinds based on microbiological data. …”
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Integrated phenotypic and transcriptomic characterization of desmin-related cardiomyopathy in hiPSC-derived cardiomyocytes and machine learning-based classification of disease feat... by Vivien Batoumeni, Yeranuhi Hovhannisyan, Bénédicte Gobert, Keyhan Alvandipour, Jennifer Arthur Ataam, Ombline Conrad, David Hoffmann, Nicolas Wiest-Daesslé, Jochen Dobner, José Américo Nabuco Leva Ferreira Freitas, Hakim Hocini, Zhenlin Li, Laurent Brino, Andrea Rossi, Onnik Agbulut, Peter Sommer, Pierre Joanne, Konstantinos Gkatzis

“…Using advanced technologies, including transcriptomics and phenotypic machine learning algorithms, we analyzed how this mutation disrupts cellular function and contributes to disease phenotypes. …”
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Machine Learning in Public Governance: A Systematic Review of Applications, Trends and Challenges by Y. Nuruly, G. N. Sansyzbayeva, L. Z. Ashirbekova, S. K. Tazhiyeva

“…Today, the active implementation of machine learning (hereinafter – ML) methods in public administration opens up new opportunities for forecasting, impact assessment and decision support, while simultaneously generating various challenges. …”
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Explainable few-shot learning workflow for detecting invasive and exotic tree species by Caroline M. Gevaert, Alexandra Aguiar Pedro, Ou Ku, Hao Cheng, Pranav Chandramouli, Farzaneh Dadrass Javan, Francesco Nattino, Sonja Georgievska

“…While few-shot learning algorithms can address the first problem, they still lack sufficient explanations for the results. …”
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Clinical Prediction Models Based on Traditional Methods and Machine Learning for Predicting First Stroke: Status and Prospects by ZHANG Zijiao, DING Shunjing, ZHAO Di, LIANG Jun, LEI Jianbo

“…In recent years, advancements in big data and artificial intelligence technologies have opened new avenues for stroke risk prediction. This article reviews the current research status of traditional methods and machine learning models in predicting first-ever stroke risk and outlines future development trends from three perspectives: First, emphasis should be placed on technological innovation by incorporating advanced algorithms such as deep learning and large models to further enhance the accuracy of predictive models. …”
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Determination of Flow Characteristics in Technological Processes with Controlled Pressure by T. Reader, V. A. Tenenev, A. A. Chernova

“…Based on this, proposed a method for determining the flow rate of the discharged substance and the mass rate of the substance entering the safety valve when it is actuated.Obtained the flow characteristics of the valves under review and the dynamics of movement of the shutoff disc of the valve, as well as the dependence of the pressure change on the opening time of the valve. Comparison of the calculated values with available experimental data gives good agreement of results (no more than 5.6 % for a gas flow rate, under 10 % for the movement of the valve and change the arrival of gas in time using the standard deviation function of the flow characteristics of 0.6 %), confirms the correctness of the defined mathematical model, used numerical schemes and algorithms, as well as the proposed method and recoverability of the arrival of gas in a pressure–time curve.…”
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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

“…This approach allows us to take into account the possibilities of interstate interaction, both from the point of view of openness of economic systems, and from the point of view of conflicts of interests of participants and the consequences of climate change. …”
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Using Street View Images to Examine the Impact of Built Environment on Street Property Crimes in the Old District of CA City, China by Xiliang Chen, Gang Li, Muhammad Sajid Mehmood, Annan Jin, Mengjia Du, Yutong Xue

“…During the whole day, openness, banks, bars, and restaurants have a significant positive effect on crime occurrence; closeness, police cameras, grocery stores, and distance to the nearest police patrol station had a significant negative effect on crime occurrence. …”
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Petri graph neural networks advance learning higher order multimodal complex interactions in graph structured data by Alma Ademovic Tahirovic, David Angeli, Adnan Tahirovic, Goran Strbac

“…PGNN generalises message passing by incorporating flow conversion and concurrency, leading to enhanced expressive power, interpretability, and computational efficiency. The work opens new directions in learning over complex structures, transcending transformer-based and traditional hypergraph-based algorithms. …”
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Artificial Intelligence and ECG: A New Frontier in Cardiac Diagnostics and Prevention by Dorota Bartusik-Aebisher, Kacper Rogóż, David Aebisher

“…<b>Conclusions</b>: Modern AI algorithms—especially deep neural networks—show promise in detecting arrhythmias, heart failure, prolonged QT syndrome, and other cardiovascular conditions. …”
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Modern scientific and clinical developments in the treatment of malignant neoplasms of the upper gastrointestinal tract: results of ASCO-2022 by D. A. Andreev, A. A. Zavyalov

“…The development, standardization and algorithmization of medical methodologies for drug treatment of cancer aimed at improving the quality of oncological care is underway. …”
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