This study introduces the 9‑item ABC‑MHPB scale, a validated instrument for assessing mental health promoting behaviours in the general population. Grounded in...
As the global transition toward net-zero emissions accelerates, hybrid wind–hydrogen energy systems are emerging as a key solution for transforming intermittent...
Breast cancer is undergoing a rapid transformation driven by advances in molecular biology, imaging, pathology, and digital technologies. This figure illustrates...
On 17 June, Clarivate released the 2026 edition of the Journal Citation Reports (JCR). In this year's release, 18 journals published by Tech Science Press (TSP) have received their updated...
Beijing, China, 5–7 June 2026 — At the invitation of Professor Yubao Liu from the Department of Urology, Beijing Tsinghua Changgung Hospital, Dany Xiang, Managing Editor of the Canadian Journal...
Nowadays, battery electric vehicles are increasingly used, from passenger cars to heavy-duty commercial vehicles, trains, and ships, all in an effort...
The big challenge in developing wind energy over the past century, which has focused on environmentally friendly production methods to meet the requirements...
In response to the high energy consumption, large load fluctuations, and insufficient adaptability associated with conventional control strategies in...
Breast cancer (BC) is the most frequently diagnosed malignancy in women worldwide and remains one of the leading causes of cancer-related mortality, with...
Antibody–drug conjugates (ADCs) are a promising strategy in non-small cell lung cancer (NSCLC), but early-generation drugs were limited by suboptimal...
Additive manufacturing (AM) has emerged as a transformative technology in modern manufacturing, offering unprecedented capabilities for producing complex...
Agentic AI is gaining new insights and advancements in the field of Artificial Intelligence, fostering significant potential to enable rapid transformation...
This review emphasizes the growing role of artificial intelligence (AI) in transforming the materials discovery process into a data-driven and autonomous...
Large Language Models (LLMs) have been playing a transformative role in natural language understanding and generation, yet adapting LLMs to domain-specific...
Mitochondrial dysfunction is a central hallmark of metabolic, hepatic, cardiovascular, and neurodegenerative diseases. Dietary polyphenols modulate mitochondrial...
The global rise in chronic, non-communicable diseases (NCDs) is inextricably linked to metabolic dysfunction, with hyperinsulinaemia acting as a potent...
Cerebral palsy is a prevalent neurodevelopmental syndrome that disrupts motor development in children, making early detection vital for effective intervention....
Current automated lesion segmentation methods have limited success, particularly for segmenting small, irregular, or heterogeneous lesions. Moreover,...
This paper presents a dynamic energy management strategy for a community-scale campus hybrid microgrid integrating photovoltaic (PV) generation, aggregated...
This study investigates the problem of prioritizing rooftop renewable energy (RE) system configurations for a multi-family residential building in Mediterranean...
This paper addresses the challenge of efficiently calculating dynamic carbon emission factors (CEFs) in large-scale power systems. Traditional methods...
The rapid evolution of chemical biology, medicinal chemistry, and molecular pharmacology continues to drive the discovery of innovative anticancer compounds...
Cancer development and therapeutic response are governed not only by genetic alterations but also by dynamic regulatory mechanisms at the epigenetic and...
The transition toward decentralized smart grids is reshaping the way energy is generated, exchanged, controlled, and consumed. The increasing penetration...
Cancer remains one of the leading causes of morbidity and mortality worldwide, and its onset and progression are closely linked to dysregulated epigenetic...
We propose a special issue titled "Innovative Smart Polymeric Materials for Sustainable Energy Solutions: Bridging Advances in Energy and Biomedical...
Artificial Intelligence of Things (AIoT) is considered a collaborative application of artificial intelligence (AI) and the Internet of Things (IoT). The...
Further advancements in the exploitation of unconventional resources, such as tight gas, shale gas, shale oil, coalbed methane, and natural gas hydrate,...
In today’s digital era, patterns are omnipresent, shaping many aspects of our lives. These patterns can be physically observed or computationally identified...
Nowadays, battery electric vehicles are increasingly used, from passenger cars to heavy-duty commercial vehicles, trains, and ships, all in an effort...
The big challenge in developing wind energy over the past century, which has focused on environmentally friendly production methods to meet the requirements...
In response to the high energy consumption, large load fluctuations, and insufficient adaptability associated with conventional control strategies in...
Breast cancer (BC) is the most frequently diagnosed malignancy in women worldwide and remains one of the leading causes of cancer-related mortality, with...
Antibody–drug conjugates (ADCs) are a promising strategy in non-small cell lung cancer (NSCLC), but early-generation drugs were limited by suboptimal...
Additive manufacturing (AM) has emerged as a transformative technology in modern manufacturing, offering unprecedented capabilities for producing complex...
Agentic AI is gaining new insights and advancements in the field of Artificial Intelligence, fostering significant potential to enable rapid transformation...
This review emphasizes the growing role of artificial intelligence (AI) in transforming the materials discovery process into a data-driven and autonomous...
Large Language Models (LLMs) have been playing a transformative role in natural language understanding and generation, yet adapting LLMs to domain-specific...
Mitochondrial dysfunction is a central hallmark of metabolic, hepatic, cardiovascular, and neurodegenerative diseases. Dietary polyphenols modulate mitochondrial...
The global rise in chronic, non-communicable diseases (NCDs) is inextricably linked to metabolic dysfunction, with hyperinsulinaemia acting as a potent...
Cerebral palsy is a prevalent neurodevelopmental syndrome that disrupts motor development in children, making early detection vital for effective intervention....
Current automated lesion segmentation methods have limited success, particularly for segmenting small, irregular, or heterogeneous lesions. Moreover,...
This paper presents a dynamic energy management strategy for a community-scale campus hybrid microgrid integrating photovoltaic (PV) generation, aggregated...
This study investigates the problem of prioritizing rooftop renewable energy (RE) system configurations for a multi-family residential building in Mediterranean...
This paper addresses the challenge of efficiently calculating dynamic carbon emission factors (CEFs) in large-scale power systems. Traditional methods...
The rapid evolution of chemical biology, medicinal chemistry, and molecular pharmacology continues to drive the discovery of innovative anticancer compounds...
Cancer development and therapeutic response are governed not only by genetic alterations but also by dynamic regulatory mechanisms at the epigenetic and...
The transition toward decentralized smart grids is reshaping the way energy is generated, exchanged, controlled, and consumed. The increasing penetration...
Cancer remains one of the leading causes of morbidity and mortality worldwide, and its onset and progression are closely linked to dysregulated epigenetic...
We propose a special issue titled "Innovative Smart Polymeric Materials for Sustainable Energy Solutions: Bridging Advances in Energy and Biomedical...
Artificial Intelligence of Things (AIoT) is considered a collaborative application of artificial intelligence (AI) and the Internet of Things (IoT). The...
Further advancements in the exploitation of unconventional resources, such as tight gas, shale gas, shale oil, coalbed methane, and natural gas hydrate,...
In today’s digital era, patterns are omnipresent, shaping many aspects of our lives. These patterns can be physically observed or computationally identified...
Quantum fuzzy neural networks (QFNNs) integrate fuzzy systems, neural networks, and quantum models, aiming to leverage their complementary strengths in handling uncertainty, parameter learning, and feature representation. However, a unified framework for effectively combining these three components remains lacking, and the existing literature reflects diverse and sometimes inconsistent modeling strategies. This paper provides a comprehensive review of the fundamental theories underlying QFNNs, including the core design principles and mathematical formulations, as well as the major…
Quantum Amplitude Amplification (QAA), the generalization of Grover’s algorithm, is capable of yielding optimal solutions to combinatorial optimization problems with high probabilities. In this work we extend the conventional 2-dimensional mathematical representation of Grover’s (marked and non-marked orthogonal collective states) to oracle operators which encode cost functions, such as those shown in previous studies with QUBO (Quadratic Unconstrained Binary Optimization). We show that unconstrained linear cost functions (no quadratic or higher terms) are a special…
This work aims to present the fundamental concepts necessary for performing computations on photonic quantum computers by detailing the gates specific to this architecture and introducing the relationships between standard Pauli gates and their counterparts in photonic systems. Physical considerations related to the optical components are addressed. Theoretical aspects concerning quantum operators are presented, and applied sections demonstrating implementations using the Perceval library developed by Quandela are given. This paper provides a comprehensive, state-of-the-art description…
Backgrounds: Positive psychology has increasingly been applied to marginalized populations, yet limited attention has been paid to how it explains the experiences of sexual minorities living under persistent structural stigma in non-Western rural contexts. This study examined the structural pressures, psychological dilemmas, and positive resilience pathways of sexual minorities in rural China. This study aims to examine the structural pressures, psychological dilemmas, and pathways of positive resilience experienced by sexual minorities in rural China under persistent…
Backgrounds: Alpha-mom blog refers to social media posts that portray mothers who excel at domestic life and childcare, presenting an idealized image of the perfect mother. The popularity of the Alpha-mom blog has led to increased academic interest in the impact on maternal psychology. Based on Self-Determination Theory, this study aims to explain the relationship between Alpha-mom blog use, parenting self-efficacy, perceived social support, and mothers’ mental health. Methods: An online cross-sectional survey with 649 Chinese…
Backgrounds: In the digital era, smartphone-driven phubbing behavior has become increasingly prevalent among teachers and may contribute to insomnia. Psychological distress has been identified as a potential mechanism linking maladaptive technology use to sleep problems; however, this mediating pathway has not been examined longitudinally. Furthermore, gender differences in these associations remain unclear. This study aimed to examine the longitudinal relationship between phubbing behavior and insomnia, the mediating role of psychological distress, and the moderating role of…
Background: Stigma affects the mental well-being of cancer survivors. However, data are scarce regarding the extent to which specific types of stigmas, enacted stigma (stigma from others), and self-stigma (internalized stigma), affect mental well-being. The objective of this study is to describe the extent to which overall illness-related stigma, self-stigma, and enacted stigma are associated with mental well-being among cancer survivors. Methods: A cross-sectional study in Kunming, Yunnan, China, was conducted. Eligible participants were adult cancer…
Background: The Act Belong Commit-ABCs of Mental Health campaign is the world’s first comprehensive, population-wide, community-based initiative to promote mental health. In response to a growing demand for valid tools to monitor mental health promoting behaviours, this study presents the development and psychometric evaluation of the ABC-Mental Health Promoting Behaviours (ABC-MHPB) scale in a Danish population-based sample. Methods: A 10-item scale was developed, based on the ABC framework, to assess mental health promoting behaviours. A total…
Background: Adolescent girls tend to engage in more sedentary behavior than boys, which is associated with adverse physical and psychosocial outcomes, including depression. This study examined the relationships between sedentary behavior, perceived stress, body mass index (BMI), and depressive symptoms among adolescent girls in Indonesia and tested the mediating roles of perceived stress and BMI. Methods: A cross-sectional survey was conducted among 482 female senior high school students (age 14–20) in Malang City, East Java, Indonesia.…
Objectives: Chinese higher education faces rising depression rates amidst fragmented campus mental health services. This pilot study examined the feasibility and preliminary outcomes of implementing a standardized psychodrama program across multiple university sites. Methods: This single-arm study was conducted across three Beijing universities from September 2024 to January 2025. A total of 27 undergraduates completed an 8-week psychodrama intervention program comprising weekly 2.5-h sessions. A unified protocol was ensured through centralized facilitator training and cross-site supervision.…
Backgrounds: Adverse childhood experiences (ACEs) can increase the likelihood of developing insecure attachment patterns, which in turn may heighten economic concerns and couple dissatisfaction—both generally and particularly in the context of assisted reproduction treatments (ART). These processes together elevate the risk of postpartum depression (PPD). Methods: This study examined psychosocial and relational predictors of PPD in a sample of 149 Spanish women up to 12 months postpartum following ART. (8.1% = artificial insemination with a sperm…
Objectives: This study aims to examine the temporal associations among psychological distress, mindfulness, childbirth trauma, and postpartum post-traumatic stress disorder (PTSD) symptoms across the first three months postpartum and test whether mindfulness mediates these longitudinal pathways. Methods: This prospective longitudinal cohort study followed Chinese postpartum women at one week (T1), one month (T2), and three months (T3) after childbirth. A total of 210 women completed baseline assessments, with 173 and 148 participants retained at T2 and…
Objectives: Academic anxiety is a prevalent emotional challenge among adolescents and has been linked to intelligence beliefs. Although prior research connects growth mindset to academic anxiety, the role of perceived control remains unclear. This longitudinal study aimed to examine whether sense of control mediates the relationship between growth mindset and academic anxiety in early adolescents. Methods: A three-wave longitudinal design was conducted with 407 early adolescents (Meanage = 13.75, 61.18% female) recruited from two public middle schools…
Backgrounds: The factors influencing emotion regulation choice (ERC) are numerous, raising the question of how to classify them systematically. Methods: This study proposed a framework of four first-order factors—the emotion to be regulated, emotion regulation goals, emotion regulation resources, and psychosocial context—by integrating several key theories of ERC, including the Action Control Theory of Emotion Regulation, the Extended Process Model of Emotion Regulation, the Process-specific Timing Framework Theory, the Selection, Optimization, and Compensation model of Emotion…
Background: Depression is highly prevalent among older adults with chronic diseases such as arthritis or rheumatism. However, little is known about the longitudinal patterns of their depressive symptoms or the role social engagement plays in shaping these trajectories. This study aimed to identify distinct trajectories of depressive symptoms among older Chinese adults with arthritis or rheumatism and examine the association between baseline social engagement and these trajectories. Methods: Utilizing five waves of data from the China…
Background: In March 2026, Nigeria’s financial sector experienced a cascading cybersecurity breach that compromised both a commercial bank and the nation’s primary government payment infrastructure. Objective: This paper provides the first academic analysis of the Sterling Bank–Remita chain breach, examining how a single unpatched vulnerability led to the exposure of approximately 900,000 customer records and 3 terabytes of national payment data. Methods: Using open-source intelligence (OSINT) methodology and the MITRE ATT&CK framework (version 16), the…
Guest Editors: Carlos Vargas-Salgado; Dácil Diaz-Bello Deadline: 30 April 2027
Guest Editors: Leonardo Di G. Sigalotti; Carlos A. Vargas; Carlos E. Alvarado-Rodríguez Deadline: 30 April 2027
Guest Editors: Sabrina Tosi; Annabelle Lewis Deadline: 30 April 2027
Guest Editors: Wenlong Sun; Mengyao Li Deadline: 31 March 2027
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Guest Editors: Wei-Chiang Hong; Yi Liang; Ming-Wei Li; Zhong-Yi Yang Deadline: 15 February 2027
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Guest Editors: Denise Mafra; Jessyca Sousa de Brito Deadline: 31 January 2027
Guest Editors: Qi Chen; Yunhui Tang Deadline: 31 December 2026
Guest Editors: Hung-Yu Lin Deadline: 31 December 2026
Guest Editors: Víctor García Deadline: 31 December 2026
Guest Editors: Dawei Jiang; Miaojun Xu; Bo Jiang; Zijian Wu Deadline: 31 December 2026
Guest Editors: Jian-Hong Ye; Weiguaju Nong Deadline: 31 December 2026
Guest Editors: Changhong LINGHU; Hoon Eui Jeong; Ying Jiang; Jiangtao Su; Yangchengyi... Deadline: 30 December 2026
Guest Editors: Fátima Martel Deadline: 30 November 2026






