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Evolution of AI enabled healthcare systems using textual data with a pretrained BERT deep learning model
Get PDFIn the rapidly evolving field of healthcare, Artificial Intelligence (AI) is increasingly driving the promotion of the transformation of traditional healthcare and improving medical diagnostic decisions. The overall goal is to uncover emerging trends and potential future paths of AI in healthcare by applying text mining to collect scientific papers and patent information. This study, using advanced text mining and multiple deep learning algorithms, utilized the Web of Science for scientific papers (1587) and the Derwent innovations index for patents (1314) from 2018 to 2022 to study future trends of emerging AI in healthcare. A novel self-supervised text mining approach, leveraging bidirectional encoder representations from transformers (BERT), is introduced to explore AI trends in healthcare. The findings point out the market trends of the Internet of Things, data security and image processing. This study not only reveals current research hotspots and technological trends in AI for healthcare but also proposes an advanced research method. Moreover, by analysing patent data, this study provides an empirical basis for exploring the commercialisation of AI technology, indicating the potential transformation directions for future healthcare services. Early technology trend analysis relied heavily on expert judgment. This study is the first to introduce a deep learning self-supervised model to the field of AI in healthcare, effectively improving the accuracy and efficiency of the analysis. These findings provide valuable guidance for researchers, policymakers and industry professionals, enabling more informed decisions
Investigating the increase in the specialized performance of athletes using artificial neural network (ANN) exercises
Get PDFBadminton, a dynamic and fast-paced racket sport, demands a unique combination of physical, technical, and cognitive abilities from its players. This study investigates the impact of a tailored core strength training program on the specialized performance of elite badminton athletes, with the aim of unlocking their full potential and improving overall well-being. The research involved a cohort of national-level badminton players who underwent a 12-week core strength training intervention. The program was designed using principles of progressive overload and targeted the development of core stability, power, and explosiveness—essential attributes for high-level badminton performance. Throughout the study, the athletes’ progress was evaluated through a comprehensive assessment battery, including measures of shot velocity, agility, jump height, and sport-specific technical proficiency. Additionally, the researchers examined the impact of the training regimen on the athletes’ mental health and resilience, using validated psychological questionnaires. The results show that the core strength training program led to significant improvements in the athletes’ explosive shot power, stability, and agility—key determinants of badminton success. Notably, the intervention also had a positive effect on the participants’ mental well-being, with increased levels of self-confidence, focus, and emotional regulation reported. This study utilized an artificial neural network (ANN) to investigate the relationships between core stability, core power, and performance indicators (agility, jump height, mental well-being) to predict and optimize conditions for enhancing specialized athletic performance. The ANN model demonstrated the ability to capture complex, nonlinear relationships and provide accurate predictions. These results suggest that integrating core-focused training into the preparation of elite badminton athletes can be a crucial strategy for enhancing their specialized performance, reducing injury risk, and promoting holistic well-being. The study shows the importance of tailored, sport-specific approaches to athletic development and provides valuable insights for coaches, sports scientists, and healthcare professionals working with high-performance badminton players
A meta-analysis of the effects of plyometric training on muscle strength and power in martial arts athletes
Get PDFBackground: Plyometric training (PT) was explored as an effective intervention for enhancing muscle strength and power. However, its specific impact on these attributes in martial arts athletes had not been systematically evaluated. Therefore, the objective of this meta-analysis was to provide a quantitative assessment of the impact of PT on muscle strength and power in martial arts athletes. Additionally, it aimed to investigate potential moderators that could influence this relationship. Methods: A systematic literature search was conducted across several databases, including SPORTDiscus, PubMed, CNKI, Scopus, and Web of Science Core Collection. Studies were included if they were controlled trials that examined the effects of PT on measures of muscle strength and/or muscle power in martial arts athletes. Effect sizes (ESs) were calculated using a random-effects model based on weighted and averaged standardized mean differences. Moderator analyses were performed for variables related to age and training. The ROB2 and ROBINS-I tools were used to assess the methodological quality of the included studies. Publication bias was evaluated using funnel plots and the extended Egger’s test. Results: The analysis included fifteen studies with a total of 499 participants aged 12 to 24 years. The findings indicated that PT had a small-to-moderate effect on muscle strength (ES = 0.62; 95% CI = 0.38 to 0.87, p < 0.001) and power (ES = 0.45; 95% CI = 0.20 to 0.71, p = 0.001). Furthermore, neither age nor training parameters significantly moderated the effect of PT on muscle strength and power. Conclusions: The findings of the present study indicated that PT effectively enhanced muscle strength and power in martial arts athletes. However, additional trials are recommended to determine the optimal training doses and further explore the interactions among training variables to improve muscle strength and power in these athletes
Advantages of different dietary supplements for elite combat sports athletes: a systematic review and Bayesian network meta-analysis
Get PDFWith an increasing number of studies delving into the impact of dietary supplements on combat sports performance, researchers are actively seeking a more efficient dietary supplement for use in these sports. Nonetheless, controversies persist. Hence, we undertook a systematic review and Bayesian network meta-analysis to discern the most effective dietary supplements in combat sports by synthesizing the available evidence. We conducted a comprehensive search across PubMed, Web of Science, Cochrane, Embase, and SPORTDiscus, covering the period from their establishment to November 2, 2023. Our aim was to identify randomized controlled trials that evaluated the benefits of various dietary supplements for elite combat sports athletes. The risk of bias in these trials was assessed using the revised Cochrane Risk of Bias Tool for Randomized Trials. Subsequently, we employed Bayesian network meta-analysis through R software and Stata 15.0. During the analysis, we performed subgroup analysis based on the type of combat, distinguishing between striking and grappling disciplines. The analysis is based on 67 randomized controlled trials that meet all the inclusion criteria, involving 1026 elite combat sports athletes randomly assigned to 26 different dietary supplements or placebos. Results from the 50 trials included in the network meta-analysis indicate that compared to a placebo, sodium bicarbonate combined with caffeine (SMD: 2.3, 95% CrI: 1.5, 3.2), caffeine (SMD: 0.72, 95% CrI: 0.53, 0.93), beta-alanine (SMD: 0.58, 95% CrI: 0.079, 1.1), and sodium bicarbonate (SMD: 0.54, 95% CrI: 0.30, 0.81) was associated with a statistically significant increase in blood lactate concentrations. Compared to placebo, caffeine (SMD: 0.27, 95% CrI: 0.12, 0.41) was associated with a statistically significant increase in the final heart rate. Compared to placebo, creatine combined with sodium bicarbonate (SMD: 2.2, 95% CrI: 1.5, 3.1), creatine (SMD: 1.0, 95% CrI: 0.38, 1.6), and sodium bicarbonate (SMD: 0.42, 95% CrI: 0.18, 0.66) was associated with a statistically significant increase in mean power. Compared to placebo, creatine combined with sodium bicarbonate (SMD: 1.6, 95% CrI: 0.85, 2.3), creatine (SMD: 1.1, 95% CrI: 0.45, 1.7), and sodium bicarbonate (SMD: 0.35, 95% CrI: 0.11, 0.57) was associated with a statistically significant increase in peak power. Compared to placebo, caffeine (SMD: 1.4, 95% CrI: 0.19, 2.7) was associated with a statistically significant increase in the number of kicks. Compared to placebo, caffeine (SMD: 0.35, 95% CrI: 0.081, 0.61) was associated with a statistically significant increase in the number of throws. This study suggests that a range of dietary supplements, including caffeine, sodium bicarbonate, sodium bicarbonate combined with caffeine, creatine, creatine combined with sodium bicarbonate, and beta-alanine can improve the athletic performance of elite combat sports athletes
Integrating household e-waste with generator, collection center and recovery facilities for improvement of scheduled waste management in Malaysia
Get PDFPersidangan Keterjaminan Makanan Kebangsaan 2025 tekankan strategi jangka panjang hadapi cabaran global
Get PDFSerdang, 10 Jun - Menjamin bekalan makanan negara memerlukan pendekatan yang strategik, kreatif dan mampan, khususnya dalam menghadapi cabaran global seperti perubahan iklim, krisis ekonomi dan kebergantungan kepada tenaga kerja asing
Novel approach for predicting the creep behavior of ceramic fibers using dimensional analysis
Get PDFA more generalized approach for predicting the steady-state creep rate of ceramic fibers under extensive stress ranges is proposed. Creep rate equations derived from dimensional analysis, such as Almeida's creep equation and Arrhenius’ creep equation, were evaluated using Buckingham's method, and the corresponding π groups were determined. Subsequently, a new equation is proposed using the usual semi-empirical constants for the diffusional and power law creep phenomena, along with an additional power law exponent to account for changes in creep mechanisms at higher stresses. The proposed equation was used to fit the creep rate data of the fiber Nextel 720 at various temperatures and constant stress, which demonstrated a good fit with an adjusted R-squared of.96. Subsequently, the equation was used to predict the creep rate at constant temperature and various stresses, exhibiting an adjusted R-squared of.77 and.85, depending on the scatter of the used data. The predictive results of the proposed equation were then compared to those obtained using the Arrhenius creep equation, which tends to higher rates at high stresses. In summary, the novel equation can be more efficiently applied in predicting the creep rate of ceramic fibers across a broader spectrum of stress.A more generalized approach for predicting the steady‐state creep rate of ceramic fibers under extensive stress ranges is proposed. Creep rate equations derived from dimensional analysis, such as Almeida's creep equation and Arrhenius’ creep equation, were evaluated using Buckingham's method, and the corresponding π groups were determined. Subsequently, a new equation is proposed using the usual semi‐empirical constants for the diffusional and power law creep phenomena, along with an additional power law exponent to account for changes in creep mechanisms at higher stresses. The proposed equation was used to fit the creep rate data of the fiber Nextel 720 at various temperatures and constant stress, which demonstrated a good fit with an adjusted R‐squared of .96. Subsequently, the equation was used to predict the creep rate at constant temperature and various stresses, exhibiting an adjusted R‐squared of .77 and .85, depending on the scatter of the used data. The predictive results of the proposed equation were then compared to those obtained using the Arrhenius creep equation, which tends to higher rates at high stresses. In summary, the novel equation can be more efficiently applied in predicting the creep rate of ceramic fibers across a broader spectrum of stress
Investigating immersion and presence in virtual reality for architectural visualization
Get PDFThe architecture industry increasingly relies on virtual reality (VR) for architectural visualization, yet there is a critical issue of insufficient user involvement in the design process. This study investigates the sense of immersion and presence in the virtual environment among 60 Malaysian participants aged 20 to 40. The study utilized a 1000 sq. ft. apartment with three bedrooms and two bathrooms, was replicated in a 3D model based on real-world references. Our findings show that participants were moderately immersed in the virtual environment (M = 4.86), but the lack of sense of touch, lack of detail, and interactivity within the virtual environment affected their sense of immersion in VR for architectural visualization. This study has enhanced our understanding of human-computer interaction in VR, specifically for architectural visualization, and has emphasized the importance of improving these aspects to create more effective architectural visualization user experiences
Multiple inclined edge cracks in two bonded half-planes subjected to normal stress
Get PDFThis paper considers multiple inclined edge cracks under normal stress originating at the interface of two bonded half-planes. The crack problem is formulated into the singular integral equation (SIE) using a modified complex potential (MCP) with the conditions of continuity for traction and displacement. A semi-open quadrature approach is applied for the numerical solution of the SIE. The behavior of stress intensity factors (SIFs) for both Modes I and II at all crack tips is computed and demonstrated graphically. The crack configuration, the elastic constant ratios of the planes, the inclination angle, and the distance between cracks have significantly influenced Modes I and II SIFs. By analyzing the behavior of SIF near the crack tip, engineers may predict the lifespan of the building structures