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Found 6374 publications
Application of FPGA Devices in Network Security: A Survey
Publication Name: Electronics Switzerland
Publication Date: 2025-10-01
Volume: 14
Issue: 19
Page Range: Unknown
Description:
Field-Programmable Gate Arrays (FPGAs) are increasingly shaping the future of network security, thanks to their flexibility, parallel processing capabilities, and energy efficiency. In this survey, we examine 50 peer-reviewed studies published between 2020 and 2025, selected from an initial pool of 210 articles based on relevance, hardware implementation, and the presence of empirical performance data. These studies encompass a broad range of topics, including cryptographic acceleration, intrusion detection and prevention systems (IDS/IPS), hardware firewalls, and emerging strategies that incorporate artificial intelligence (AI) and post-quantum cryptography (PQC). Our review focuses on five major application areas: cryptographic acceleration, intrusion detection and prevention systems (IDS/IPS), hardware firewalls, and emerging strategies involving artificial intelligence (AI) and post-quantum cryptography (PQC). We propose a structured taxonomy that organises the field by technical domain and challenge, and compare solutions in terms of scalability, resource usage, and real-world performance. Beyond summarising current advances, we explore ongoing limitations—such as hardware constraints, integration complexity, and the lack of standard benchmarking. We also outline future research directions, including low-power cryptographic designs, FPGA–AI collaboration for detecting zero-day attacks, and efficient PQC implementations. This survey aims to offer both a clear overview of recent progress and a valuable roadmap for researchers and engineers working toward secure, high-performance FPGA-based systems.
Open Access: Yes
Dynamic Capabilities and Technological Innovation for Firm Resilience: A Configurational Analysis
Publication Name: Emerging Science Journal
Publication Date: 2025-10-01
Volume: 9
Issue: 5
Page Range: 2292-2317
Description:
Firm resilience is essential to manage response and rapid recovery from disruptive events for a firm. Moreover, there is limited literature that investigates the combined effects of dynamic capability and technological innovation that are interrelated with firm resilience. This study used the dimensions of firm resilience, which were investigated with both necessary condition analysis (NCA) and fuzzy-set Qualitative Comparative Analysis (fsQCA) methods using survey questionnaires from 308 respondents operating in Bangladeshi corporate industries that are currently facing uncertainties due to unforeseen crises. NCA results showed that visibility, market position, and digitalization achieved firm resilience as these antecedents reached the full percentile to achieve an optimal level of outcome. On the contrary, the influence of reserve capacity and big data analytics was not empirically significant for achieving firm resilience. Moreover, fsQCA results appreciated NCA results and showed four solutions that are sufficient for achieving a high level of firm resilience. The study reveals the configurational effects of dynamic capabilities and technological innovation to achieve firm resilience. The results show the necessary effects of configurational relationships that lead to outcomes. The configurational method is applied to identify the combined effects of antecedents that help managers predict high levels of firm resilience in a turbulent environment.
Open Access: Yes
Health and Performance Challenges in the Era of Human Enhancement: Insights from Sport Medicine Professionals
Marcelo Bichels Leitão
José Kawazoe Lazzoli
Mark Stuart
Giuseppe Massazza
Jean François Kaux
Fabio Pigozzi
André Debruyne
Jane Seto
Andrea Petróczi
Emin Ergen
Petra Zupet
Bertrand Fincoeur
Alessia Di Gianfrancesco
Demitri Constantinou
Sandra Rozenštoka
Mourad Ghrairi
Anca Ionescu
Chiara Fossati
Kirill Micallef Stafrace
Michael Geistlinger
Bruno Di Pietro
Norbert Bachl
Borja Muniz-Pardos
Camille Tooth
Jürgen Steinacker
Theodora Papadopoulou
Malav Shroff
Felix Albuquerque Drummond
Francisco Arroyo
Ana V. Cintrón
Maher Zahar
Roberto Lohn Nahon
Christian Schneider
Umutcan Kayikci
Iain Killoughery
Ke Hu
Khaled Massoud Hassan
Daniel Arkader Kopile
Julio Motta-Pensabene
Minhao Xie
Dina CJanse van Rensburg
Clea Hadjistephanou Papaellina
Peter Baumgartl
José Antonio Casajús
Victoriya Badtieva
Luigi Di Luigi
Bernd Wolfarth
Rüdiger Reer
James Bilzon
Bülent Ülkar
Yannis Pitsiladis
Anna Jegier
Konstantinos Natsis
Klaus Michael Braumann
Peter Baumgartl
Sergio Migliorini
Metin Ergün
Xavier Bigard
Andrew Jowett
Mark R. Hutchinson
William O. Roberts
Pedro Manonelles
Publication Name: Sports Medicine
Publication Date: 2025-10-01
Volume: 55
Issue: 10
Page Range: 2627-2640
Description:
Background: In the pursuit of sporting success, some elite athletes prioritise peak performance over long-term health, frequently resulting in significant and enduring health consequences. The Enhanced Games (TEG) position themselves as a bold experiment in transhumanism, advocating for the use of performance-enhancing drugs (PEDs), including methods banned by World Anti-Doping Agency (WADA), to push the boundaries of human athletic potential. Objectives: The aim of this study is to explore the perspectives of sport physicians, sport scientists, physiotherapists and other allied healthcare professionals on treating and supporting “enhanced athletes”, with the view of informing future guidelines. Methods: Participants were invited via email and personal contacts within sport medicine communities to complete a brief anonymous survey via QuestionPro™. Descriptive statistics were performed using Excel™ and RStudio™. Results: A total of 323 healthcare professionals responded (82% were sport physicians), among whom 74% expressed a willingness to treat acute lesions and/or chronic diseases in “enhanced athletes”. In comparison, a considerable minority (30%) expressed support for assisting athletes in their use of PEDs and methods under medically supervised conditions, with high consistency across professional roles. A relatively high readiness was observed in sport physicians treating acute (77% versus 58%; p < 0.01) and chronic (75% versus 63%; p = 0.11) diseases for “enhanced athletes”. As far as WADA rules and/or national anti-doping laws apply, this support presupposes compliance with the code and the respective national laws to protect physicians from serious professional, legal and personal consequences. Conclusion: The preliminary findings align with the broader goal of fostering a sport culture that values both peak performance and the short- and long-term health of all participants. These results emphasise the necessity of implementing professional guidelines and comprehensive support systems designed to safeguard the long-term well-being of all athletes and underscore the urgent need for further research into the impact of TEG on sport and its community.
Open Access: Yes
Extension of the Energetic Modeling of a Single-Stage Gear Unit to a Multi-Stage Constant Ratio Gear Unit †
Publication Name: Engineering Proceedings
Publication Date: 2025-10-01
Volume: 113
Issue: 1
Page Range: Unknown
Description:
The difficulty in designing gears to be installed in electric vehicles is caused by the fact that the efficiency of gears is generally treated as a constant value in the entire operating range, while these show significant differences in different operating ranges; therefore, it is necessary to examine the energy and efficiency of the gear, and to create a mathematical model, which can be optimally fitted into the vehicle’s drivetrain in terms of energy. I have performed this modeling in previous years for a single-stage gear unit. However, this model encounters physical limitations, since a larger gear ratio modification cannot be performed in one stage; the number of stages must be increased as the gear ratio increases. As the number of stages increases, the structure of the mathematical model changes, as changes to the gear unit must be incorporated into the model. In this article, an extension of the mathematical model of the gear unit is presented.
Open Access: Yes
Examining the Determinants of Pedestrian Safety Risks in the Bangkok Metropolitan Region, Thailand
Publication Name: Sage Open
Publication Date: 2025-10-01
Volume: 15
Issue: 4
Page Range: Unknown
Description:
Transportation systems are complex and multimodal, comprising diverse travel modes that often compete for limited roadway space. However, the diversity of these modes also generates varying levels of exposure and vulnerability, particularly among pedestrians, who represent the most at-risk group of road users. This study investigates the determinants of Pedestrian Safety (PS) within the Bangkok Metropolitan Region (BMR), focusing on behavioral, and environmental risk factors. Data was collected through a structured questionnaire distributed to 1,120 participants who had encountered potentially hazardous situations while walking. Ordinal logistic regression was used to examine the multifaceted influences shaping pedestrian risk behaviors across three user groups: (1) the general pedestrian population, (2) predominant pedestrian mode users, and (3) individuals with prior pedestrian accident experiences. The findings reveal that physical environmental characteristics and perceived behavioral control, particularly the availability and condition of pedestrian-supportive facilities have significant effects on risk-related behaviors. These results highlight the need for a comprehensive and context-sensitive approach to understanding pedestrian risk and for developing targeted interventions and strategic plans aimed at preventing pedestrian-related crashes in rapidly urbanizing environments.
Open Access: Yes
Fourier Analysis of the Nonlinearity of Surface-Relief Optical Transmission Gratings of Quasi-Sinusoidal Profile Fabricated in Optical Glasses and Crystals by Carbon, Nitrogen and Oxygen Ion Microbeams
Publication Name: Photonics
Publication Date: 2025-10-01
Volume: 12
Issue: 10
Page Range: Unknown
Description:
Optical transmission gratings with quasi-sinusoidal surface-relief profiles were inscribed in IOG and Pyrex glasses and in Bi12 GeO20 , Er: LiNbO3, and Er: Fe: LiNbO3 crystals by microbeams of carbon, nitrogen, and oxygen ions at ion energies of 5, 6, and 10.5 MeV. Grating constants were 4, 8, and 16 μm. Amplitudes of the surface-relief gratings were in the 10–2000 nm range. The diffraction efficiency of the gratings was measured at a wavelength of 640 nm. Maximum diffraction efficiencies were close to the theoretical maximum of 33% for thin gratings. Grating profiles were measured by optical microscopic profilometry. Measurement of the diffraction efficiencies at higher orders and Fourier analysis of the grating profiles revealed the dependence of the residual nonlinearity of the grating profiles on the implanted ion fluence. The ion microbeam-written gratings can be used as light coupling elements in integrated optics for sensors and telecommunication.
Open Access: Yes
Prevalence of the Risk of Exercise Addiction Based on a New Classification: A Cross-Sectional Study in 15 Countries
Ricardo De La Vega
Mia Beck Lichtenstein
Emilio Landolfi
Thomas Zandonai
Abril Cantù-Berrueto
Liye Zou
Umberto Granziol
Robert M. Portman
Merve Denizci Nazlıgül
Mike Trott
Peiying Yang
Aleksei Y. Egorov
Merve Alpay
Mark D. Griffiths
Bhavya Chhabra
Angelica Larios
Mustafa Yildirim
Marco Solmi
Oliver Stoll
Takayuki Akimoto
Mark D. Griffiths
Attila Szabo
Publication Name: International Journal of Mental Health and Addiction
Publication Date: 2025-10-01
Volume: 23
Issue: 5
Page Range: 3815-3836
Description:
Exercise addiction is widely studied, but an official clinical diagnosis does not exist for this behavioral addiction. Earlier research using various screening instruments examined the absolute scale values while investigating the disorder. The Exercise Addiction Inventory-3 (EAI-3) was recently developed with two subscales, one denoting health-relevant exercise and the other addictive tendencies. The latter has different cutoff values for leisure exercisers and elite athletes. Therefore, the present 15-country study (n = 3,760) used the EAI-3 to classify the risk of exercise addiction (REA), but only if the participant reported having had a negative exercise-related experience. Based on this classification, the prevalence of REA was 9.5% in the sample. No sex differences, and few cross-national differences were found. However, collectivist countries reported greater REA in various exercise contexts than individualist countries. Moreover, the REA among athletes was (i) twice as high as leisure exercisers, (ii) higher in organized than self-planned exercises, irrespective of athletic status, and (iii) higher among those who exercised for skill/mastery reasons than for health and social reasons, again irrespective of athletic status. Eating disorders were more frequent among REA-affected individuals than in the rest of the sample. These results do not align with recent theoretical arguments claiming that exercise addiction is unlikely to be fostered in organized sports. The present study questions the current research framework for understanding exercise addiction and offers a new alternative to segregate self-harming exercise from passionate overindulgence in athletic life.
Open Access: Yes
Development of an Artificial Intelligence Powered Medication Risk Score Calculator Application
Publication Name: Basic and Clinical Pharmacology and Toxicology
Publication Date: 2025-10-01
Volume: 137
Issue: 4
Page Range: Unknown
Description:
The publication explores the development of the Augmented Medication Risk Score (AUGMERIS) calculator, a web application supported by artificial intelligence, designed to automate the evaluation of medication therapies with the Danish Medication Risk Score (MERIS) method. It is a tool that assesses drug combinations and kidney function in estimated glomerular filtration rate (eGFR), which helps clinical pharmacists identify high-risk patients. To overcome the problem of processing unstructured electronic health records (EHRs), a hybrid text processing model was created by combining rigorous algorithms and Generative Pre-trained Transformer (GPT) technology, which was integrated into a web application along with an automated risk calculation programme. Our objective was to develop and test a globally accessible calculator application with the validation of performance on poor-quality data. Despite the validation limitations, the text processing function serves the application satisfactorily. The AUGMERIS web app is built with Python 3 and shared globally by Streamlit. Volunteer testers from eight different countries performed a total of 383 trial calculations. The application has the potential to improve global pharmacotherapy by identifying patients requiring medication reviews. Its wider adoption might enhance patient safety and optimize treatments in a variety of healthcare systems.
Open Access: Yes
DOI: 10.1111/bcpt.70109
Europe’s Energy Shift: From Fossil Fuels to Renewable Energy
Publication Name: Emerging Science Journal
Publication Date: 2025-10-01
Volume: 9
Issue: 5
Page Range: 2384-2399
Description:
Objectives: This study explores the transformation of energy consumption in Europe between 2002 and 2022, focusing on the declining role of fossil fuels and the increasing significance of renewable and nuclear energy sources. The study also considers how countries with varying levels of economic development adopt different energy strategies and how these strategies correlate with shifts in energy usage. A circular economy approach that includes energy recovery from waste and resource reuse is a complementary aspect of sustainable energy transitions. Methods/Analysis: The per capita energy consumption data were analyzed through decile classification and cluster analysis to group countries with similar energy profiles. To explore the relationship between GDP and energy use—both total and renewable—linear and exponential regression models were applied. Outlier countries with atypical consumption trends were excluded to improve model reliability. Statistical analyses were conducted using SPSS, and Excel was used to support the visualization process. Findings: Six distinct clusters of energy consumption patterns emerged. In lower-and middle-GDP countries, renewable energy use showed a stronger exponential correlation with GDP growth than total energy use. While fossil fuel dependence has declined across most countries, the pathways taken have been diverse. High-GDP nations such as Iceland and Norway have demonstrated unique, resource-driven strategies. Novelty/Improvement: This study introduces a novel methodological blend of decilebased classification and clustering to enable clearer cross-country comparisons of energy use. The results also highlight the importance of excluding statistical outliers to improve regression precision. By integrating insights relevant to circular economy principles, the findings contribute to designing more effective and regionally adapted energy transition strategies.
Open Access: Yes
