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Review on Advancements in Artificial Intelligence and its Applications in Sports
No full textThe sport industry is being transformed by Artificial Intelligence (AI) in many ways. This paper seeks to discuss how AI has improved sports science, particularly in boosting the athletes’ performance and avoiding injuries, through various machine learning models like Extreme Gradient Boosting, Support Vector Machines, and Random Forest Regression. These AI tools are more effective than the traditional methods, as they predict the athletes’ performance results more accurately and managing their injuries more proactively. This paper also discusses the challenges of using AI in the sport industry, particularly in terms of data privacy and the reliability of the models. With the aid of AI, it is of no doubt that sport science will have a promising future
What Makes an Instagram Story a Persuasive Digital Story?: Evidencing through the Core Elements of Digital Storytelling
No full textThe explosive growth of Web 2.0 technologies, such as social media, has given rise to new manifestations of digital storytelling. In contrast to traditional digital storytelling, new storytelling methods allow the incorporation of various media components into digital stories. As a result, the meaning of digital stories can be interpreted differently depending on the medium in which they are presented. Furthermore, digital storytelling can be translated into Web 2.0 media storytelling or sometimes as social media storytelling, which is becoming more exciting and vital as digital stories in such media grow exponentially. This study paves the way for investigating how the digital storytelling elements proposed by Lambert and Hessler (2018) manifest on Instagram stories, a popular social media tool, to make them persuasive digital stories. 3042 Instagram stories were observed from 15 influencers and sampled 500 digital stories. The sample stories were put through Qualitative Content Analysis (QCA) to explore the elements. The findings are interpreted through the Extended Elaborative Likelihood model (E-ELM) and “Behaviour model in the context of online social networks” as to how the persuasion occurs through the identified elements. The results showed a significant alignment of Instagram stories with the core components of digital storytelling, making them persuasive. The findings are expected to justify the acceptability of using ephemeral social media stories as persuasive digital stories for academic and industrial endeavours
A New Method for Assessing the Performance of Photovoltaic Module Enhancing Techniques Based on the Lifespan and Power Effectiveness Factor
No full textPhotovoltaic (PV) module enhancers—such as coolers or reflectors—are developed to improve the electrical output and thermal management of PV systems. A
previous method evaluated enhancer effectiveness based solely on the lifespan of both the
PV module and the enhancer. However, this approach did not account for the net power
contribution of the enhancer, limiting its applicability in performance comparisons. To
address this gap, a new metric is introduced, the lifespan and power effectiveness factor
(FLSPE), which incorporates both power and durability dimensions. The proposed method
requires five parameters: the lifespan of the PV module (PVLS) and the enhancer (PVCLS),
the net power from the enhancer (PPVC), the baseline PV power without enhancement
(PPV), and the maximum PV power under standard test conditions (PPV,max). Experimental
data from prior studies were used to validate the method. The results show that the FLSPE
values for different enhancers ranged from 0.22 (22%) to 0.37 (37%). Maximum or minimum
performance occurs when the FLSPE value is either unity or equivalent to the ratio of the
PV’s power output (PV without an enhancer) to its maximum power under standard test
conditions ( PPV
PPV,max
), respectively. The proposed method not only offers improved clarity in
evaluating PV enhancer technologies but also provides a robust framework for selecting
durable and power-efficient PV cooling solutions
Effect of Banana Stem Ash Reinforcement on Dry Sliding Wear Behavior of Polymer
No full textNowadays, Natural Fiber Reinforced Polymers (NFRPCs) are often used due to their superior physical properties and higher biodegradability than other materials. The purpose of this study is to analyze the mechanical and tribological performances of NFRPCs, which include hardness, surface roughness, and surface morphology. The specific placement and nature of the reinforcement materials on the specimens are also analyzed for their role in the degree of surface roughness. Solutions for hardness determination (HV) were applied with the help of the Vickers hardness tester. As a result, it was found that the NFRPCs with polypropylene (PP) and Musa stem ash reinforcement demonstrated the highest HV value. On top of that, the surface morphology was examined using an optical microscope, and it was found that the PP/Musa ash composite exhibited the smoothest surface. The results obtained can potentially direct future research and industrial applications in the fields of materials science and engineering, along with adding to the expanding knowledge of NFRPCs
Green Social Media Influencers’ Characteristics Affect Sustainable Clothing Purchase Intentions Among Millennials: An Extended Source Credibility Framework
No full textThe fashion and apparel industry has been growing tremendously due to fast fashion and it has caused detrimental effects on the environment, which make it the second dirty industry. Thus, to shape the favorable perception of the fashion apparel industry, businesses have tried to align the sustainability practices in their products and supply chains, including the use of green social media influencers (SMIs) to gauge the favorable image in the consumers’ eyes. Thus, the purpose of this study is to investigate Millennials' intentions to purchase sustainable clothing which are impacted by the green SMI characteristics, namely attractiveness, trustworthiness, and expertise which derived from the source credibility framework and extended the two characteristics, interactivity and credibility to further expand the framework. Purposive sampling was applied to gather data from a self-administered questionnaire. The data was provided by valid 384 respondents who have followed green SMI and were currently residing in Malaysia. Statistical Package for the Social Sciences (SPSS) was then used to analyze the data via the Regression analysis. The results indicated that the attractiveness, credibility, and expertise of green SMIs were the predictors of purchase intentions. However, the trustworthiness and interactivity of the green SMIs were not significant predictors. This study urged the sustainable fashion industry/ business to carefully select green SMIs who are credible and experts in environmental knowledge to avoid the greenwashing and skepticism effects. Conclusion, implication, and future research pathways were discussed
Signaling Sustainability: The Impact of Sustainable Finance on Dividend Policy Among Firms Listed on the London Stock Exchange
No full textThe UK regulatory framework mandates that firms report their social and environmental implications, ensuring that sustainability factors are incorporated into policy formulation, including dividend policies. For this reason, the study examined how sustainable finance of the firms listed on the London Stock Exchange impacts dividend policy. The study used 17 years of data from n143 companies between 2007 and 2023, obtained from Thomson Reuters Eikon DataStream. The data were analyzed using the generalized method of movement (GMM) due to its capacity to overcome and address the issues of endogeneity and autoserial correlation in the datasets, leading to robust, unbiased, and reliable estimation results. The study discovered that green bond issues had a positive and significant impact on dividend yield and retention. Also, the findings reveal that environmental expenditure and policy for emission reduction had a negative and significant impact on dividend yield and retention. Furthermore, the moderating relationship between green bond issues, environmental expenditures, and leverage revealed a positive and significant impact on dividend yield and retention. The companies should retain financial viability while promoting environmental measures. Environmental policies that foster sustainable development without compromising the company's capacity to sustain cash flow or dividends are essential. Therefore, the management should rigorously assess environmental investments to guarantee that selected projects yield returns consistent with environmental goals and shareholder expectations
Hive Buzz: Mar 2025 - June 2025
No full textThe tenth edition of HIVE BUZZ has just been published! This edition celebrates achievements and milestones of our university community and recaps the events and activities held between March and June 2025.
Explore the featured stories and highlights here. Happy reading
Balancing the Financial Trilemma: The Role of Financial Integration and Financial Development in Achieving Sustainable Development in Sub‐Saharan Africa
No full textThe financial trilemma (FT) highlights the challenge of balancing financial integration, financial development, and financial stability. A practical assessment of the FT is crucial for evaluating the current state of Sub-Saharan Africa's (SSA) financial landscape and making substantial progress toward Sustainable Development Goals (SDGs), particularly SDG 8 (Decent Work and Economic Growth) and SDG 10 (Reduced Inequality). Based on panel data from 1990 to 2021, this paper investigates the direct and indirect effects of financial integration and financial development on SSA's financial trilemma, employing robust second-generation econometric techniques, including cross-sectional dependence, slope homogeneity, panel unit root tests, the Westerlund cointegration, Augmented Mean Group method, and the Dumitrescu-Hurlin causality test. The findings suggest that financial integration and development contribute to achieving financial transformation (FT) in the long run. However, the impact of institutional quality (IQ) and human development on the FT is both positive and negative, suggesting the need for enhanced governance structures and capacity-building initiatives to support sustainable financial policies. The moderation analysis reveals that IQ and technological advancement (TEC) do not significantly influence the financial integration-FT nexus. Institutional quality does not affect the financial development-FT nexus; however, TEC has a positive impact on this relationship. Based on these findings, the study recommends that policymakers prioritize strengthening institutional frameworks, enhancing technology adoption, and promoting inclusive financial development to achieve sustainable progress in SSA's financial landscape
Does mineral-driven renewable energy production promote sustainable development? Uncovering the moderating role of economic development
No full textDue to increasing environmental pressures, energy transition has become one of the most urgent policy tasks for decision-makers, and renewable energy is at the heart of the energy transition strategies. However, renewable energy technologies are heavily dependent on critical minerals and elements. One can query whether resource-dependent renewable energy production can create desired environmental impacts to ensure sustainable development. Therefore, the primary motivation of this research is to investigate how mineral-dependent renewable energy production impacts environmental sustainability, proxied by using the Load Capacity Factor (LCF), and whether economic development (GDP) can play a moderating role in Germany by adopting country-level analysis and utilizing the Cross Quantilogram (CQ), bivariate Quantile-on-Quantile regression (QQR), Quantile regression (QR), and recently proposed novel Multivariate Quantile-on-Quantile regression (MQQR). CQ estimations denote that mineral-driven renewable energy generation, GDP, and LCF have heterogeneous quantile dependences and tend to have negative dependencies at higher quantiles. Bivariate QQR results show cobalt-graphite-, copper-, and nickel-driven renewable energy production have a limited positive impact on the LCF and can be described on a knife-edge. In contrast, rare earths-driven renewable energy can create undesired environmental consequences. Besides, QR results significantly confirm QQR results; thus, the robustness of QQR results is confirmed. Lastly, MQQR results show that GDP can play a moderating role in the impact of mineral-driven renewable energy generation on LCF. Policy outcomes of the empirical analysis have been provided in the body of the text
Effect of Enhancement Material on the Performance of Ground Electrodes Under Impulse Conditions
No full textAmong the factors that affect the soil resistivity is the chemical content in soil, where the ionic
conduction is expectedly increased and the soil resistivity is reduced. Due to the beneficial use of chemical
composition in soil, enhancement materials (EMs) or salts have been widely used in an effort to obtain a low
ground resistance value. Much published data on the performance of the EMs on the steady-state resistance
value is available; however, not much data is available on its characteristics under high impulse conditions
by field measurements. In this paper, experimental test results on twelve configurations (six configurations
with the EM and without the EM) installed in situ and tested under impulse conditions are reported. The
study aims to quantify the effects of ground electrode configurations and EM on the soil characteristics
under high impulse conditions, providing valuable insights for optimising grounding system design. Results
show that the steady-state ground resistance is reduced by over 40% for most configurations with EM,
significantly improving the current discharge time under impulse conditions. Additionally, inductive effects
were more pronounced in configurations with lower resistance, particularly at higher voltages, while the
impulse impedance was current-dependent for configurations without EM, whereas those with EM were less
affected by current magnitude. CDEGS simulations indicated that parallel configurations are more prone to
inductive effects than grid configurations, with electrode shape having a greater influence than size