Search Results (6,357)

Power distribution systems face increasing threats from high-impact, low-probability (HILP) events caused by extreme weather conditions such as floods, typhoons, droughts, and heatwaves. These events often lead to power outages worldwide, highlighting the need for effective strategies to mitigate their impact. This work proposes an emergency response strategy that integrates network reconfiguration (NR) with the deployment of mobile emergency generators (MEGs) to enhance system resilience. The objective is to maximize power supply availability following HILP events. To achieve this, mixed-integer quadratic constraint programming (MIQCP) is used to optimize MEG deployment and network restoration. Additionally, improved quantitative resilience metrics are introduced to assess system degradation, pre-recovery, and recovery phases, enabling continuous resilience measurement and informed decision-making. Furthermore, an optimal capacity deployment strategy (OCDS) is proposed to ensure that MEGs are deployed with suitable capacities based on the specific needs of outage-affected areas. The effectiveness of the proposed strategy is demonstrated through tests on the IEEE 118 bus system. The results show a significant improvement of up to 100% in system resilience, reducing power outages and accelerating restoration. The findings confirm that integrating NR with optimized MEG deployment enhances service restoration, providing an effective approach for utilities to manage power disruptions. Full article

Artificial Intelligence capabilities make the organisational innovation process more critical and sustainable, especially in SMEs. This research explored the influence of AI capabilities on organisational innovation within Malaysian SMEs and the role of transformational leadership as a mediator for the above effects, while considering the moderating role of digital organisational culture. The questionnaire was distributed electronically via Google Forms to a study sample of (900) SMEs in Kuala Lumpur, Selangor, and Johor Bahru, targeting owners and managers. Two weeks after distribution, (565) questionnaires were received; however, (215) questionnaires were excluded because the respondents were neither managers nor owners. A total of (350) questionnaires were valid for analysis. Using SMART-PLS software v.4.1.1.6 (PLS-SEM analysis) in analysing data, the study found that AI capability has a positive impact on organisational innovation and a positive impact on transformational leadership. Moreover, transformational leadership has a positive impact on organisational innovation, and transformational leadership mediates the relationship between AI capability and organisational innovation. Furthermore, the study found that digital organisational culture does not moderate the relationship between AI capability and transformational leadership. Digital organisational culture moderates the relationship between AI capability and organisational innovation; also, digital organisational culture moderates the relationship between transformational leadership and organisational innovation. Full article

Lung cancer is considered to be a significant cause of death in the world, and the timely identification of nodules in the lungs in CT scans is very important to enhance the prognosis of patients. Although the state of the art of nodule delineation using deep learning-based segmentation models was achieved, major problems, including high feature diversity, low spatial discrimination, and overfitting of the models, require stronger feature-processing approaches. This research explores an enhanced symmetric encoder–decoder segmentation network known as the Improved Group–Shuffle Module (IGSM) to overcome these shortcomings. The most important feature of the proposed method is the IGSM, which hierarchically divides feature maps into a few groups, then transforms them independently, and then randomly switches channels between groups to increase inter-group interaction of features and diversity. This IGSM method is inspired by human brain functions, which are processed in specialized cortex areas, which are mimicked in this work through small-group feature processing. Channel shuffling is designed based on inter-modular communication in the human brain through coherent information sharing among the small groups of cortices. Through this mechanism, the model is much better at capturing discriminative spatial and contextual patterns, especially on complex and subtle nodule structures. The IGSM configurations have been optimized, specifically, the placement of the modules, grouping size, and shuffle permutation strategies. The proposed model’s performance is then compared with the benchmarked models, like U-Net and DeepLab, with various performance indicators such as mean Intersection over Union (mIoU), Dice Score, Accuracy, Sensitivity, and Specificity. The simulation results proved the superiority of the IGSM-enhanced model with the mIoU of 0.7735, the Dice Score of 0.9665, and the Accuracy of 0.9873. The addition of the group and shuffle module not only enhances the discrimination between the nodules and their background, but it also improves the ability to generalize over a variety of nodules’ morphology, thus producing a reliable tool for automated detection of lung cancer. Full article

Polygonum cuspidatum, a traditional medicinal plant widely cultivated in Hubei Province, China, contains resveratrol, which has been shown to regulate lipoprotein metabolism, inhibit platelet aggregation, and aid in the prevention of arteriosclerosis and cardiovascular diseases. However, conventional extraction methods are often limited by low efficiency and solvent toxicity. A novel extraction strategy integrating an ultrasound-assisted extraction with natural deep eutectic solvents (NADES) was developed to achieve environmentally friendly and effective recovery of resveratrol from Polygonum cuspidatum. The optimized NADES system consisted of betaine and DL-malic acid in a 1:4 molar ratio with 50% water content. Using single-factor experiments and Response Surface Methodology, the following parameters were identified as optimum: solid–liquid ratio, 1:28 g/mL; ultrasonic power, 240 W; ultrasonic temperature, 40 °C; and ultrasonic time, 30 min. In such a case, the resveratrol yield reached 33.12 mg/g by UV-Vis spectroscopy and 2.95 mg/g by HPLC analysis, significantly higher than that obtained by other methods. Antioxidant assays demonstrated that the extract exhibited strong scavenging activity against ABTS⁺•, DPPH•, and •OH radicals. These results demonstrate that the ultrasound-assisted extraction with NADES method provides an efficient and eco-friendly alternative for extracting resveratrol from Polygonum cuspidatum, yielding extracts with notable antioxidant properties. Full article

Background: Grit is often celebrated as a predictor of youth success in sport, but little is known about how it develops over time through social and relational contexts. This study explores how grit forms among youth powerlifters through two developmental trajectories: an externally driven pathway shaped by structured adversity (Outside-In) and an internally driven pathway fueled by self-motivation (Inside-Out). Methods: This analytical autoethnographic study draws on multi-year coaching journals, field notes, and reflective narratives involving four Malaysian youth athletes. Through thematic coding and narrative synthesis, key developmental patterns were identified, and a dual-pathway conceptual model was constructed. Results: The findings revealed that youth from lower-autonomy backgrounds often developed grit through coach-led discipline and adversity (Outside-In), while others showed early self-regulation and purpose-driven persistence (Inside-Out). Both pathways could converge toward internalized grit. The coach–athlete relationship was central in mediating this growth. Some youths later turned outward to uplift others, indicating broader developmental impacts. Conclusions: Grit in youth sport is a socially embedded process. The Dual Pathway Model offers a framework for coaches and educators to cultivate perseverance in diverse youth through both relational support and autonomy development. Full article

Legged robot locomotion remains a critical challenge in robotics, demanding control strategies that are not only dynamically stable and robust but also capable of adapting to complex and changing environments. deep reinforcement learning (DRL) has recently emerged as a powerful approach to automatically generate motion control policies by learning from interactions with simulated or real environments. This study provides a systematic overview of DRL applications in legged robot control, emphasizing experimental platforms, measurement techniques, and benchmarking practices. Following PRISMA guidelines, 27 peer-reviewed studies published between 2018 and 2025 were analyzed, covering model-free, model-based, hierarchical, and hybrid DRL frameworks. Our findings reveal that reward shaping, policy representation, and training stability significantly influence control performance, while domain randomization and dynamic adaptation methods are essential for bridging the simulation-to-real-world gap. In addition, this review highlights instrumentation approaches for evaluating algorithm effectiveness, offering insights into sample efficiency, energy management, and safe deployment. The results aim to guide the development of reproducible and experimentally validated DRL-based control systems for legged robots. Full article

The primary objective of this study is to examine factors that influence Mobile Learning adoption and effectiveness in the case of higher education, underpinned by the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model. The study was conducted at some of the top Saudi universities. A survey method was used in this study, and the questionnaire includes 12 factors, which include enjoyment, hedonic motivation, and performance expectancy, among others, whose relationships with behavioral intention towards using m-learning and in turn, its actual use, were investigated. Additionally, two mediating factors, namely technostress and exhaustion, were included to examine the effects of students’ engagement with m-learning. The questionnaire was distributed to 500 undergraduate students, and 264 replied. Based on the findings, the traditional UTAUT2 factors had significant effects on students’ intention and use behaviors, which were mediated by technostress and exhaustion. The findings indicated that the effective management of mediators is important to improve student engagement in m-learning and that m-learning strategies can be developed through the information provided. This study validated the UTAUT2 model in the case of m-learning, with a 70% success rate in predicting IT adoption, which exceeded other models. Through the study findings, educators and policymakers can find ways to optimize m-learning platforms. Furthermore, it is recommended that focus is placed on the long-term effects of technostress and exhaustion on the students’ adoption of and engagement with m-learning. Full article

Carbon quantum dots (CQDs) have attracted intense research interest due to their unique physicochemical properties and broad application potential. CQDs are a new class of ultrasmall fluorescent carbon nanoparticles (<10 nm) that exhibit bright photoluminescence, broad excitation spectra, high quantum yields (QYs), and excellent photostability. Structurally, they consist of graphitic sp²/sp³-hybridized carbon with amorphous or nanocrystalline cores. Unlike conventional semiconductor quantum dots (SQDs), which often contain toxic group II–VI, III–VI, or IV–VI elements, CQDs offer a safer and more environmentally friendly alternative for biomedical and cosmetic applications. This review summarizes recent advances in green-chemistry approaches for CQD synthesis, including top-down, bottom-up, waste-derived, and surface-functionalization methods. Particular attention is given to natural carbon sources, which provide low-cost, sustainable, and eco-friendly routes for scalable production. The optical, electronic, and toxicological properties of CQDs are discussed to clarify their performance and safety profiles. Special emphasis is placed on their emerging roles in wound healing and cosmetic formulations, which remain underexplored despite their promising potential. To our knowledge, this is the first comprehensive review focusing on the current progress, key challenges, and future perspectives of CQDs in beauty and personal care applications. Full article

Background/Objectives: Human papillomavirus (HPV) vaccines are effective in preventing HPV infection and HPV-related cancers in both males and females. As sexual behavior plays a central role in HPV transmission, male vaccination is important not only for reducing HPV-associated diseases among men but also for limiting viral transmission at the population level. Methods: A cross-sectional study was conducted among male university students in Selangor, Malaysia. Data were collected using a structured questionnaire assessing sociodemographic characteristics, history of sexual intercourse, HPV-related knowledge, and awareness of HPV vaccination. Multivariable logistic regression analysis was performed to identify factors associated with HPV vaccination awareness. Results: Overall, 43.4% of the respondents demonstrated good awareness of HPV vaccination. Multivariable logistic regression analysis identified several factors significantly associated with awareness. Non-Muslim students were more likely to report good awareness of HPV vaccination than Muslim students (AOR = 2.724, 95% CI: 1.150–6.454, p < 0.001). Students who were in a relationship or married demonstrated higher awareness compared with single students (AOR = 3.830, 95% CI: 2.071–7.082, p < 0.001). HPV-related knowledge showed the strongest association, with participants possessing good knowledge being more likely to be aware of HPV vaccination (AOR = 7.012, 95% CI: 4.077–12.059, p < 0.001). In contrast, history of sexual intercourse was not significantly associated with HPV vaccination awareness after adjustment (p = 0.097). Conclusions: Awareness of HPV vaccination among male university students was influenced by religion, relationship status, and HPV-related knowledge. These findings highlight the need for targeted, male-inclusive vaccination education strategies that address sociodemographic differences. University-based interventions may play an important role in improving awareness and increasing HPV vaccine uptake in this population. Full article

Inflammatory bowel disease (IBD) comprises mainly Crohn’s disease (CD) and Ulcerative Colitis (UC). The Western model suggests that environmental factors, immunological factors, the gut microbiome, and genetic disposition all contribute to the onset and sustained symptoms that define CD, although the pathogenesis of CD remains unresolved. Current studies propose that in individuals who are genetically susceptible, genetic factors linked to immune dysregulation, in combination with environmental exposure, can result in dysbiosis of the gut microbiome and intestinal barrier dysfunction, leading to immune dysregulation. In Malaysia, the incidence of IBD is rising with CD increasing disproportionally compared to UC, and the incidence of CD currently mirrors that of the United Kingdom in the 1930s, which now has one of the highest incidences worldwide. Given the suggested role of Mycobacterium avium subspecies paratuberculosis (MAP) in CD in Western countries, which is subject to some controversy, this review summarises for the first time the current evidence on genetic, environmental, and microbial factors that could contribute to the rise of Crohn’s disease in Malaysia and proposes preventive approaches. We note the increasing reliance of Malaysia on imported cattle and milk products from areas of high Johne’s Disease prevalence to meet increasing demand and changes in milk preferences in the Malaysian population, both key indicators for human-MAP exposure in the Western model. Therefore, should MAP be shown to be associated with CD in Malaysia, some preventative measures are suggested, such as screening imported and native beef and dairy cattle, dairy products and ultimately water, both recreational and potable. Full article

The rapid integration of unmanned aerial vehicles (UAVs) into next-generation wireless systems demands seamless and reliable handover (HO) mechanisms to ensure continuous connectivity. However, frequent topology changes, high mobility, and dynamic channel variations make traditional HO schemes inadequate for UAV-assisted 6G networks. This paper presents a comprehensive review of existing HO optimization studies, emphasizing artificial intelligence (AI) and machine learning (ML) approaches as enablers of intelligent mobility management. The surveyed works are categorized into three main scenarios: non-UAV HOs, UAVs acting as aerial base stations, and UAVs operating as user equipment, each examined under traditional rule-based and AI/ML-based paradigms. Comparative insights reveal that while conventional methods remain effective for static or low-mobility environments, AI- and ML-driven approaches significantly enhance adaptability, prediction accuracy, and overall network robustness. Emerging techniques such as deep reinforcement learning and federated learning (FL) demonstrate strong potential for proactive, scalable, and energy-efficient HO decisions in future 6G ecosystems. The paper concludes by outlining key open issues and identifying future directions toward hybrid, distributed, and context-aware learning frameworks for resilient UAV-enabled HO management. Full article

Background/Objectives: Diabetic osteoporosis (DOP) is a metabolic bone disorder marked by reduced bone mass, impaired microarchitecture and elevated fracture risk arising from type 1 and type 2 diabetes. Understanding its pathophysiology is essential for developing effective interventions. Method: A broad literature search of Scopus and PubMed (2015–2025) using diabetic osteoporosis-related keywords identified relevant English in vivo studies, which were screened, extracted, and narratively summarised for this review. Results: In vivo models, including high-fat-diet (HFD), streptozotocin (STZ) and combined HFD + STZ protocols, are widely used to investigate DOP mechanisms. HFD models mimic obesity-induced insulin resistance, chronic hyperglycaemia and low-grade inflammation, leading to suppressed osteoblast activity, enhanced osteoclastogenesis and accumulation of advanced glycation end products (AGEs). Ultimately, they compromise bone microarchitecture and mechanical strength. STZ models replicate type 1 diabetes by inducing β-cell destruction, insulin deficiency, oxidative stress, osteoblast apoptosis and inflammatory pathways promoting bone resorption. The combined HFD + STZ model integrates insulin resistance and partial β-cell dysfunction, closely reflecting type 2 diabetes pathology, including trabecular bone loss, collagen glycation and disrupted osteoblast–osteoclast signalling. Mechanistically, DOP involves impaired insulin/IGF-I signalling, AGE–RAGE interactions, oxidative stress and inflammation, resulting in diminished bone formation and quality. These models provide robust platforms for exploring molecular mechanisms and evaluating potential therapies, including Wnt pathway modulators, antioxidants and ferroptosis inhibitors. Conclusions: Collectively, preclinical in vivo models are indispensable for understanding DOP pathophysiology and developing strategies to mitigate diabetic bone fragility. Full article

Recently, with concern for the environment and the request for sustainable materials, more researchers and manufacturers have focused on the substitute solution of synthetic fiber reinforcement composites in industry applications. Green hybrid composites with natural components can present excellent sustainability, possess superior mechanical behavior, and reduce hazards. Hybridization technology allows new materials to inherit their raw materials’ characteristics and generate new properties. The current study designed novel double-walled shell structures (DS1R4L, DS2R8L, and DS5R12L), containing two thin walls and different numbers of ring and longitudinal stiffeners, as unmanned maritime vehicle (UMV) components. A normal single-walled cylindrical shell was used as a control. These models will be made of hybrid kenaf/flax/glass-fiber-reinforced composites, GKFKG and GFKFG, created in the ANSYS Workbench. The mechanical responses (deformation, stress, and strain characteristics) of models were examined under three loading conditions (end force, end torque, and hydrostatic pressure) to evaluate the influence of both material change and structural configuration. Compared to the single-walled structure, the double-walled configurations display minimized deflection and torsional angle. Moreover, GKFKG-made structures are better than GFKFG-made ones. The research contributes positively to advancing the application of hybrid kenaf/flax/glass-fiber-reinforced composites in UMV structures and promotes the development of green sustainable materials. Full article

The increasing demand for sustainable polymer composites has driven the development of hybrid laminates that combine natural, recycled, and synthetic reinforcements while maintaining adequate mechanical performance. However, the combined influence of stacking sequence and mineral filler addition on the mechanical behavior of such sustainable hybrid systems remains insufficiently understood. In this study, sustainable hybrid laminated composites based on epoxy reinforced with glass fiber (G), bamboo fiber (B), and flex banner (F) were fabricated with varying stacking sequences and calcium carbonate (CaCO₃) filler contents (0 and 1 wt.%). A total of nine laminate configurations were produced and evaluated through flexural and impact testing. The results demonstrate that mechanical performance is strongly governed by laminate architecture and filler addition. The bamboo-dominant G/B/B/B/G laminate containing 1 wt.% CaCO₃ exhibited the highest flexural strength (191 MPa) and impact resistance (0.766 J/mm²), indicating a synergistic effect between reinforcement arrangement and CaCO₃-induced matrix strengthening. In contrast, the lowest performance was observed for the G/F/B/F/G configuration without filler. Overall, all hybrid composites outperformed neat epoxy, highlighting the potential of bamboo–flex banner hybrid laminates with CaCO₃ filler for sustainable composite applications requiring balanced mechanical properties. This work aligns with SDG 12 by promoting resource-efficient circular-economy practices through the utilization of flex banner material and natural fibers as reinforcements in epoxy-based hybrid composites. Full article