This study reviews recent advancements in polymer-based photocatalysts for environmental remediation and energy conversion. Advances in polymer chemistry, hybridization...
Schematic representation of concomitant drugs’ impact on immune checkpoint inhibitors (ICIs) effectiveness in urothelial cancer. Proton-pump inhibitors (PPIs),...
This research investigates the effects of homogenization rates on the functional and structural properties of fish gelatin films enriched with cinnamon essential...
We are pleased to announce that the internationally recognized journal, the Canadian Journal of Urology (CJU), has been officially indexed in EBSCO. This significant milestone enhances the journal’s...
To Global Academic Partners, Open Access Platforms, Conference Organizers, Social Media Research Groups, and Ethics Committee Representatives:It has come to our attention that certain third-party...
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...
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...
Time series segmentation has attracted more interests in recent years, which aims to segment time series into different segments, each reflects a state...
The high performance of IoT technology in transportation networks has led to the increasing adoption of Internet of Vehicles (IoV) technology. The functional...
Software-Defined Networking (SDN) represents a significant paradigm shift in network architecture, separating network logic from the underlying forwarding...
Since the 1950s, when the Turing Test was introduced, there has been notable progress in machine language intelligence. Language modeling, crucial for...
Steganography is a technique for hiding secret messages while sending and receiving communications through a cover item. From ancient times to the present,...
Image steganography is one of the prominent technologies in data hiding standards. Steganographic system performance mostly depends on the embedding strategy....
COVID-19 pandemic restrictions limited all social activities to curtail the spread of the virus. The foremost and most prime sector among those affected...
The International Skin Imaging Collaboration (ISIC) datasets are pivotal resources for researchers in machine learning for medical image analysis, especially...
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...
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...
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...
Time series segmentation has attracted more interests in recent years, which aims to segment time series into different segments, each reflects a state...
The high performance of IoT technology in transportation networks has led to the increasing adoption of Internet of Vehicles (IoV) technology. The functional...
Software-Defined Networking (SDN) represents a significant paradigm shift in network architecture, separating network logic from the underlying forwarding...
Since the 1950s, when the Turing Test was introduced, there has been notable progress in machine language intelligence. Language modeling, crucial for...
Steganography is a technique for hiding secret messages while sending and receiving communications through a cover item. From ancient times to the present,...
Image steganography is one of the prominent technologies in data hiding standards. Steganographic system performance mostly depends on the embedding strategy....
COVID-19 pandemic restrictions limited all social activities to curtail the spread of the virus. The foremost and most prime sector among those affected...
The International Skin Imaging Collaboration (ISIC) datasets are pivotal resources for researchers in machine learning for medical image analysis, especially...
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...
Background: Adolescents face increasing academic and social pressures, which significantly impact their mental well-being and coping strategies. Physical activity (PA) has been recognized as crucial in promoting psychological resilience and social development. This study investigates the relationship between PA and adolescents’ coping styles, with a particular focus on the mediating roles of friendship quality and psychological resilience. By examining these associations, the study aims to provide insights into how PA contributes to adolescents’ ability to…
Objectives: The current study aimed to perform a meta-analysis to comprehensively investigate effect of physical activity on cognitive function in people with Mild Cognitive Impairment. The findings of this study can offer an important basis for identifying the significance of physical activity as an important factor in designing and implementing strategies to enhance cognitive function in mild cognitive impairment. Methods: 21 articles were selected through academic databases (EBSCOhost, PubMed, ScienceDirect, Web of Science), and 20…
Objectives: Attachment is a profound and enduring connection to the emotion children progressively form with their parents as they mature. It significantly impacts the social and psychological development of kids and teenagers. This study aimed to explore the latent profiles and longitudinal transition patterns of parent-child and peer attachments among adolescents. Methods: A cohort of 914 participants from China completed the measures with a twelve-month interval. There were 46.8% boys and 53.2% girls in this…
Background: This study evaluated physical fitness and mental health in young and elderly women 3 months after mild COVID-19 infection, and examined the impact of infection and age on long COVID occurrence and trajectory. Methods: There were 213 eligible female volunteers (107 young, 106 elderly) recruited approximately three months after the significant outbreak of COVID-19 in China. Participants completed a fitness test and mental health assessment using the Post-Traumatic Stress Disorder Self-Assessment Scale (PTSD) and…
Objectives: Teachers are facing unprecedented new challenges leading them to face an increasing number of tasks that are not part of their job, as well as having to cope with the additional skills acquisition that comes with non-traditional forms of teaching and learning, and increased work pressure leading to an increase in the rate of teachers leaving the profession. Therefore, this study aims to explore the mechanism of the career calling on job burnout through…
Objectives: The aim of this study was to verify the causal relationship between trait aggressiveness (TA) and moral disengagement (MD), know more about the growth trajectory of MD, and explore the effects of gender and TA on the growth trajectory. Methods: We used the Buss-Perry Aggression Questionnaire and Moral Disengagement Scale to survey 433 Chinese junior high school students longitudinally three times. Results: The results of the random intercept cross-lagged panel model (RI-CLPM) analysis indicated that…
Background: Parents of children with autism are susceptible to parenting burnout due to tremendous parenting burden and parenting challenges. Parenting burnout has a detrimental effect on both children with autism and their parents. However, the underlying mechanisms that lead to parenting burnout remain unclear. This study aimed to investigate the relationship between parenting stress and parenting burnout, along with the serial mediation effect of social support and coping strategies in the context of families with…
Background: Weight-related self-stigma (WRSS) is prevalent among individuals with different types of weight status and is associated with a range of negative health outcomes. Social support and coping models explain how individuals may use different coping methods to deal with their mental health needs. Psychological distress (e.g., depression and stress) could lead to overuse of social media and smartphones. When using social media or smartphones, individuals are likely to be exposed to negative comments regarding…
Objectives: Short video addiction has emerged as a significant public health issue in recent years, with a growing trend toward severity. However, research on the causes and impacts of short video addiction remains limited, and understanding of the variable “TikTok brain” is still in its infancy. Therefore, based on the Stimulus-Organism-Behavior-Consequence (SOBC) framework, we proposed six research hypotheses and constructed a model to explore the relationships between short video usage intensity, TikTok brain, short video…
Objectives: The statistics from World Health Organization show a high incidence of childhood maltreatment which has a negative impact on the development of middle school students; for this reason, it is necessary to investigate the potential harms of childhood maltreatment. This study aimed to explore the direct negative consequences of childhood maltreatment on subjective well-being as well as the mediating roles of shyness and emotion regulation strategies. Methods: A random cluster sampling survey was conducted…
Various environmental stressors, such as salinity, heat, drought, and metals, present significant obstacles to crop productivity. This study delves into the adverse effects of metals, specifically focusing on cadmium (Cd), nickel (Ni), mercury (Hg), chromium (Cr), arsenic (As), lead (Pb), and copper (Cu) on plants. It explores the sources of these metals, examining both natural occurrences and human-induced activities, and investigates the mechanisms through which plants absorb them. Metal pollution, in particular, negatively affects plant…
Lycium ruthenicum Murray, a plant widely cultivated in northwestern China, is integral to traditional Chinese medicine, with applications in treating menstrual disorders, cardiovascular diseases, and menopausal symptoms. Despite its recognized medicinal value and use as a functional food, comprehensive knowledge of its metabolites and their pharmacological effects remains limited. This study presents an innovative approach using ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UPLC–QTOF/MS) to conduct a detailed analysis of both wild and cultivated L.…
Traditional Palestinian medicine uses Thymus capitatus (T. capitatus), a plant recognized for its therapeutic properties due to its high concentration of essential oils such as thymol and carvacrol, to treat skin diseases, gastrointestinal disorders, and respiratory infections. The present study was conducted to evaluate the antioxidant and anticancer activities of T. capitatus essential oil (EO). Moreover, this study employed computational methods including ADMET analysis and molecular docking. Using Gas chromatography-mass spectrometry (GC-MS) analysis, the phytochemical composition of T. capitatus…
The common fig (Ficus carica L.), Moraceae family, is a commonly grown fruit tree in the Mediterranean region. Fig mosaic disease (FMD) poses a substantial threat to Saudi Arabia’s fig-producing economy. A survey was conducted during the two seasons of 2021 and 2022 on fig trees, displaying various fig mosaic disease symptoms. A total of 200 fig leaves and fruit samples were collected from various governorates in several Regions of Saudi Arabia including Riyadh, Tabuk, Hail, Qassim,…
Glutathione S-transferases (GSTs) represent a large and diverse enzyme family ubiquitously distributed across the plant kingdom. These proteins catalyze the conjugation of glutathione (GSH) with electrophilic substrates in response to various stress conditions. Beyond their role in stress adaptation, certain GSTs are integral regulators of plant growth and development, contributing to a range of physiological processes. Most GST proteins exhibit dual enzymatic activities, functioning as both transferases and peroxidases, which enables their involvement in diverse…
Fertilization is essential for high yield and quality in Chinese herbs. Grona styracifolia (Osbeck) H. Ohashi, a distinctive medicinal plant in the Lingnan region, currently encounters cultivation issues stemming from the overuse of chemical fertilizers. Adopting organic and microbial fertilizers presents a sustainable solution for its cultivation management. This study compared a no-fertilization control group with eight treatment groups using various concentrations of compound, organic, compound microbial, and Bacillus amyloliquefaciens fertilizers to evaluate their effects on G. styracifolia…
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