Driven by wearable technology, flexible energy storage requires safe and high-performance power sources. The solid-state electrolytes offer enhanced safety over...
A breakthrough digital twin-powered IoT framework is transforming the monitoring and management of electric vehicles. By merging real-world IoT sensor data with...
This study employs smoothed particle hydrodynamics (SPH) simulations to investigate the dynamic responses and load characteristics of two free-floating bodies arranged...
We are delighted to announce that the Journal of Psychology in Africa has been officially accepted for inclusion in APA PsycInfo, the premier database for psychological literature...
We are delighted to announce that International Journal of Mental Health Promotion (ISSN / eISSN: 1462-3730 / 2049-8543) has been officially recognized by the Italian National...
Anomaly detection in wind turbines involves emphasizing its ability to improve operational efficiency, reduce maintenance costs, extend their lifespan,...
Excavation-induced deformations of earth-retaining walls (ERWs) can critically affect the safety of surrounding structures, highlighting the need for...
Recent advances in wearable devices have enabled large-scale collection of sensor data across healthcare, sports, and other domains but this has also...
Data curation is vital for selecting effective demonstration examples in graph-to-text generation. However, evaluating the quality of Knowledge Graphs...
AI-driven materials databases are transforming research by integrating experimental and computational data to enhance discovery and optimization. Platforms...
Legged robots have always been a focal point of research for scholars domestically and internationally. Compared to other types of robots, quadruped robots...
Response analysis of structures involving non-probabilistic uncertain parameters can be closely related to optimization. This paper provides a review...
The evaporation of micrometer and millimeter liquid drops, involving a liquid-to-vapor phase transition accompanied by mass and energy transfer through...
Resource allocation remains a challenging issue in communication networks, and its complexity is continuously increasing with the densification of the...
Finding materials with specific properties is a hot topic in materials science. Traditional materials design relies on empirical and trial-and-error methods,...
Accurate medical diagnosis, which involves identifying diseases based on patient symptoms, is often hindered by uncertainties in data interpretation and...
Customer segmentation according to load-shape profiles using smart meter data is an increasingly important application to vital the planning and operation...
Conventional fault diagnosis systems have constrained the automotive industry to damage vehicle maintenance and component longevity critically. Hence,...
Magneto-electro-elastic (MEE) materials are a specific class of advanced smart materials that simultaneously manifest the coupling behavior under electric,...
The emergence of various technologies such as terahertz communications, Reconfigurable Intelligent Surfaces (RIS), and AI-powered communication services...
As Natural Language Processing (NLP) continues to advance, driven by the emergence of sophisticated large language models such as ChatGPT, there has been...
The tumor microenvironment encompasses not only the tumor cells themselves, but also the surrounding fibroblasts, immunological and inflammatory cells,...
Machine vision detection and intelligent recognition are important research areas in computer vision with wide-ranging applications in manufacturing,...
Object detection and tracking in videos has become an increasingly important area of research due to its potential applications in a variety of domains...
With the progress of science and technology, more and more complex engineering structures are serving in extreme environments. In the service life of...
Extracellular vesicles (EVs) are phospholipid bilayer vesicles released from tumor and non-tumor cells for intercellular communication. EVs contain...
The peridynamics proposed by Silling [1] is a non-local theory of solid mechanics. It redefines the problems by using integral equations rather than partial...
In modern time, experts started to use interdisciplinary properties with the developing of technology and science. Thus, these disciplines provide more...
More than half of the world population is living in cities. It requires extended infrastructure and various services to support the densely concentrated...
Anomaly detection in wind turbines involves emphasizing its ability to improve operational efficiency, reduce maintenance costs, extend their lifespan,...
Excavation-induced deformations of earth-retaining walls (ERWs) can critically affect the safety of surrounding structures, highlighting the need for...
Recent advances in wearable devices have enabled large-scale collection of sensor data across healthcare, sports, and other domains but this has also...
Data curation is vital for selecting effective demonstration examples in graph-to-text generation. However, evaluating the quality of Knowledge Graphs...
AI-driven materials databases are transforming research by integrating experimental and computational data to enhance discovery and optimization. Platforms...
Legged robots have always been a focal point of research for scholars domestically and internationally. Compared to other types of robots, quadruped robots...
Response analysis of structures involving non-probabilistic uncertain parameters can be closely related to optimization. This paper provides a review...
The evaporation of micrometer and millimeter liquid drops, involving a liquid-to-vapor phase transition accompanied by mass and energy transfer through...
Resource allocation remains a challenging issue in communication networks, and its complexity is continuously increasing with the densification of the...
Finding materials with specific properties is a hot topic in materials science. Traditional materials design relies on empirical and trial-and-error methods,...
Accurate medical diagnosis, which involves identifying diseases based on patient symptoms, is often hindered by uncertainties in data interpretation and...
Customer segmentation according to load-shape profiles using smart meter data is an increasingly important application to vital the planning and operation...
Conventional fault diagnosis systems have constrained the automotive industry to damage vehicle maintenance and component longevity critically. Hence,...
Magneto-electro-elastic (MEE) materials are a specific class of advanced smart materials that simultaneously manifest the coupling behavior under electric,...
The emergence of various technologies such as terahertz communications, Reconfigurable Intelligent Surfaces (RIS), and AI-powered communication services...
As Natural Language Processing (NLP) continues to advance, driven by the emergence of sophisticated large language models such as ChatGPT, there has been...
The tumor microenvironment encompasses not only the tumor cells themselves, but also the surrounding fibroblasts, immunological and inflammatory cells,...
Machine vision detection and intelligent recognition are important research areas in computer vision with wide-ranging applications in manufacturing,...
Object detection and tracking in videos has become an increasingly important area of research due to its potential applications in a variety of domains...
With the progress of science and technology, more and more complex engineering structures are serving in extreme environments. In the service life of...
Extracellular vesicles (EVs) are phospholipid bilayer vesicles released from tumor and non-tumor cells for intercellular communication. EVs contain...
The peridynamics proposed by Silling [1] is a non-local theory of solid mechanics. It redefines the problems by using integral equations rather than partial...
In modern time, experts started to use interdisciplinary properties with the developing of technology and science. Thus, these disciplines provide more...
More than half of the world population is living in cities. It requires extended infrastructure and various services to support the densely concentrated...
Static analysis methods are crucial in developing secure software, as they allow for the early identification of vulnerabilities before the software is executed. This systematic review follows Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines to assess static analysis techniques for software security enhancement. We systematically searched IEEE Xplore, Association for Computing Machinery (ACM) Digital Library, SpringerLink, and ScienceDirect for journal articles published between 2017 and 2025. The review examines hybrid analyses
Diagnosing dental disorders using routine photographs can significantly reduce chair-side workload and expand access to care. However, most AI-based image analysis systems suffer from limited interpretability and are trained on class-imbalanced datasets. In this study, we developed a balanced, transformer-based pipeline to detect three common dental disorders: tooth discoloration, calculus, and hypodontia, from standard color images. After applying a color-standardized preprocessing pipeline and performing stratified data splitting, the proposed vision transformer model was fine-tuned and…
The 6G network architecture introduces the paradigm of Trust + Security, representing a shift in network protection strategies from external defense mechanisms to endogenous security enforcement. While ZTNs (zero-trust networks) have demonstrated significant advancements in constructing trust-centric frameworks, most existing ZTN implementations lack comprehensive integration of security deployment and traffic monitoring capabilities. Furthermore, current ZTN designs generally do not facilitate dynamic assessment of user reputation. To address these limitations, this study proposes a DPZTN (Data-plane-based Zero…
The effects of climate change are becoming more evident nowadays, and the environmental stress imposed on crops has become more severe. Farmers around the globe continually seek ways to gain insights into crop health and provide mitigation as early as possible. Phenotyping is a non-destructive method for assessing crop responses to environmental stresses and can be performed using airborne systems. Unmanned Aerial Systems (UAS) have significantly contributed to high-throughput phenotyping and made the process rapid,…
The Thyristor-Controlled Series Compensator (TCSC) presents an effective solution for mitigating transmission congestion in power systems by regulating the distribution of line power flow. However, inherent faults within the TCSC may lead to an unintended intensification of transmission congestion in other sections of the system post-installation, resulting in non-coherent phenomena of line blocking. In response to this challenge, this paper introduces a novel two-stage site selection method for TCSC, emphasizing the enhancement of coherence in…
This review paper explores advanced methods to prompt Large Language Models (LLMs) into generating objectionable or unintended behaviors through adversarial prompt injection attacks. We examine a series of novel projects like HOUYI, Robustly Aligned LLM (RA-LLM), StruQ, and Virtual Prompt Injection that compel LLMs to produce affirmative responses to harmful queries. Several new benchmarks, such as PromptBench, AdvBench, AttackEval, INJECAGENT, and RobustnessSuite, have been created to evaluate the performance and resilience of LLMs against these…
Background: Physical inactivity among adolescents has become a global public health challenge, with over 80% failing to meet the recommendations of the WHO for activity levels. Existing research predominantly examines how physical activity (PA) enhances resilience, while the predictive role of resilience in PA, particularly its interaction with family factors, has received limited attention. This study aimed to examine the associations between resilience and PA among adolescents, focusing on family functioning and gender differences. Methods:…
Background: It has been broadly witnessed that a large number of adolescents are suffering emotional and mental health problems after COVID-19, and such adverse experiences in early life often extend into adulthood, resulting in serious long-term implications. However, it is accepted that the literature examining the relationship between mental health problems in adolescents and their underlying psychological factors is limited. The purposes of the current study were to identify mental health problems of Korean adolescents…
Background: Foreign Language Anxiety (FLA) represents a substantial affective barrier that undermines cognitive performance, motivation, and retention in language learners. Emerging evidence highlights mindfulness-based interventions as promising strategies for enhancing emotional regulation and reducing anxiety across educational contexts. This review synthesizes current research on mindfulness as a psychological intervention, aims to evaluate its efficacy in alleviating FLA, and discusses its broader implications for health-focused educational policy and practice. Methods: Following PRISMA guidelines, we systematically reviewed…
Objectives: Recently, the global esports industry has experienced remarkable growth, leading to an expansion in the scale and influence of professional player communities. However, despite this outward growth, systems to protect players’ mental health remain inadequate. Comprehensive analysis of structural risk factors, including performance pressure, public evaluation, and career instability, remains insufficient. This study, aimed to explore stressors encountered by esports athletes, coping strategies, and the role of social support systems in safeguarding mental health.…
Objectives: The climate crisis demands urgent action from all sectors of society, including young people in higher education. While previous research has explored individual and contextual predictors of pro-environmental behaviour (PEB), the contribution of Positive Youth Development (PYD) remains underexplored. This study investigates the relationship between PYD dimensions (Competence, Confidence, Connection, Character, and Caring) and two environmental outcomes: environmental habits and climate change awareness, considering gender differences. Methods: A cross-sectional study was conducted with a…
Background: Patients with cancer are confronted not only with physical changes and pain but also with significant psychological challenges, including distress, anxiety, and depression, as a consequence of their diagnosis and treatment. This study aimed to identify the factors influencing anxiety or depression in patients with cancer, examine the relationship between the duration since cancer diagnosis and psychological state, and explore the association between these factors and the use of Korean medicine (KM). Methods: This…
Background: Recent years have witnessed the rapid rise of TikTok, a short-video social platform, which has sparked concerns about its potential for misuse and addiction. TikTok addiction has been associated with various psychological and social issues. This study aims to explore the mediating role of social ostracism in the relationship between the Dark Triad (Machiavellianism, Psychopathy, and Narcissism) and TikTok addiction. Methods: Data were collected from 425 Chinese college students through convenience sampling, using three…
Background: Community-based first responders face high levels of workplace stressors that can profoundly impact their physical and mental health. Mindfulness-based interventions have shown promise in decreasing stress and increasing psychological resilience; however, implementation is difficult due to unpredictability of the job, department culture, and generational preferences. The objective of this qualitative study was to identify and enhance understanding of the specific needs and potential barriers and facilitators for the implementation of mindfulness-based programming for community-based…
Background: Fundamental internal factors like self-construal and its influence on problematic online game use (POGU) remain underexplored. Hence, this study aims to investigate the effects of independent and interdependent self-construal on POGU, with the mediation of basic psychological needs satisfaction. Methods: The study surveyed 418 Chinese junior high school students (50.24% male; Meanage = 12.68, SD = 0.65), assessing their levels of self-construal, basic psychological needs satisfaction, and POGU. A parallel mediation model was tested. Results:…
Objectives: Adolescents’ aggression is widely studied, the underlying heterogeneity of aggression among rural Chinese boarding students remains unexplored. This study investigates the latent profiles of Chinese rural boarding junior high school students’ aggression and its correlations with moral disengagement and preference for solitude. Methods: A cross-sectional survey was conducted from 04–22 April 2022, using a convenient sampling method among 516 junior high school students from six Chinese rural boarding schools. The survey included the Aggression…
Guest Editors: Hoon Ko; Marek R. Ogiela Deadline: 31 July 2026
Guest Editors: Viktor Gribniak; Zdeněk Kala; Constantin E. Chalioris Deadline: 31 March 2026
Guest Editors: Kang-Di Lu; Yun Fu; Yong Xu Deadline: 30 March 2026
Guest Editors: A. Dounis; I. Kalatzis Deadline: 28 February 2026
Guest Editors: Ilsun You; Gaurav Choudhary; Philip Virgil Astillo Deadline: 31 January 2026
Guest Editors: Chih-Lung Lin Deadline: 31 December 2025
Guest Editors: Fateh Mebarek-Oudina; Ioannis E. Sarris Deadline: 31 December 2025
Guest Editors: Marcin Kamiński; Wojciech Sumelka Deadline: 01 December 2025
Guest Editors: Hwa-Young Jeong; Jason C. Hung; Yen Neil Yuwen Deadline: 30 November 2025
Guest Editors: S. M. Anas; Rayeh Nasr Al-Dala'ien Deadline: 30 November 2025
Guest Editors: Zhiqiang Yang; Zifeng Yuan; Yuhang Jing; Xia Tian Deadline: 30 November 2025
Guest Editors: Sukhjit Singh Sehra Deadline: 15 November 2025
Guest Editors: José Braga de Vasconcelos; Hugo Barbosa Deadline: 10 November 2025
Guest Editors: Boyun Guo; Yin Feng Deadline: 01 November 2025