Browse Items (7684 total)
Sort by:
-
Tailored Optoelectronic Materials: DES-Modified MWCNTs in PVA Matrix for Advanced Polymeric Films
Integrating optoelectronic functionalities with advanced materials offers exciting potential for novel composite systems. This study investigates the synthesis, characterization, and optoelectronic applications of polyvinyl alcohol (PVA) films incorporating multi-walled carbon nanotubes (MWCNTs) surface-modified with choline chloride-urea (1:2) deep eutectic solvents (DES), known as Reline. Dispersion of Reline-enhanced MWCNT within the PVA matrix is meticulously described. DES-grafted MWCNTs demonstrate improved solubility, leading to superior dispersion within the polymer, confirmed by scanning electron microscopy (SEM), Fourier-transform infrared spectroscopy (FTIR), and X-ray diffraction (XRD). The influence of Reline-grafted MWCNT loading on the films' optoelectronic properties, including optical absorbance, bandgap, and electrical conductivity, is systematically analyzed. Results show that DES-grafted MWCNTs significantly enhance these properties, indicating strong potential for these composites in optoelectronic devices such as solar cells, photovoltaics, photodetectors, and light-emitting devices. 2025 by the authors. -
Diet of the Dattatreya night frog Nyctibatrachus dattatreyaensis from the central Western Ghats, India
The Dattatreya night frog Nyctibatrachus dattatreyaensis, found in the Chandra Drona Parvatha massif, is a stream-dwelling, evolutionarily distinct and globally Endangered species threatened by increasing habitat loss and alteration. We examined the stomach contents of 104 individuals, from ten different streams, of which 42 had prey in their stomachs. The prey items were in 12 orders across 4 classes, mainly dipterans, hymenopterans and lepidopterans. The frog exhibits a passive foraging mode, has a moderate trophic niche breadth (Bst = 0.43), and may have a preference for agile prey. Apart from this, there were plant materials, sand grains and plastic debris found in the stomach contents, with 0.82 mm3 of plastic debris found in eight individuals across three streams. The presence of plastic debris indicates the impact of anthropogenic activities leading to a form of habitat degradation. The data presented indicates the need for immediate and efficient conservation strategies to be put in place for this understudied species. 2025 British Herpetological Society. All rights reserved. -
Immersive Virtual Learning Experiences of Senior Secondary School Students from India and Russia: A Mixed Method Study
Virtual Reality (VR) provides an immersive learning (IL) experience by simulating real-world scenarios that bridge the gap between theory and application. VR simulations are interactive and enhance student engagement across a range of concepts, from simple to complex. India and Russia share similar cultural and historical backgrounds, and both are committed to creating a multipolar world. Both are large developing countries with several strategic partnerships and international cooperation. Hence, this study aims to capture the learning experiences of internationally paired students in an IL environment and their attitudes towards IL environments, to mutually contribute to teaching and learn in these countries. Students experienced immersive learning through stand-alone head-mounted virtual reality cameras with a controller. The study employed a mixed-methods research design involving a quantitative and qualitative explanatory approach. Researchers paired 100 senior secondary school students from Russia (n = 50) and India (n = 50) and exposed them to virtual IL experiences. Researchers used the user-experience IL environment scale, the VR-IL environment attitude scale, and an interview guide to collect the data of the study. Quantitative data were analyzed using descriptive statistics, a correlation test, and regression. Qualitative data were analyzed through narrative thematic analysis. Researchers triangulated the IL experiences measured through quantitative and qualitative methods. The study found a positive correlation between IL experiences and attitude towards the IL environment. Further, IL experiences accounted for 43.5% of positive attitudes towards the IL environment. The qualitative analysis revealed both positive and negative aspects of VR-IL environment experiences. The study's findings add value to the cognitive-affective theory of learning with media, as it includes knowledge construction, emotional connection, and motivation for learning. Future studies may explore the benefits of the IL environment with artificial intelligence (AI) and generative AI towards teaching and learning. (2024), (California State University). All Rights Reserved. -
Thermodynamic Analysis of Marangoni Convection in Magnetized Nanofluid
This article explores the optimization of heat transport in a magnetohydrodynamic nanofluid flow with mixed Marangoni convection by using the Response Surface Methodology. The convective flow is studied with external magnetism, radiative heat flux, and buoyancy. An internal heat absorption through the permeable surface is also taken into account. The governing system includes the continuity equation, Navier-Stokes momentum equation, and the conservation of energy equations, approximated by the Prandtl boundary layer theory. The entropy generation in the thermodynamic system is evaluated. Experimental data (Corcione models) is used to model the single-phase alumina-water nanofluid. The numerical solution for the highly nonlinear differential system is obtained via Ralstons algorithm. It is observed that the applied magnetic field leads to a higher entropy generation which is engendered by the Lorentz force within the fluid system. The thermal radiation leads to a higher Bejan number, indicating the importance of the irreversibility of heat transport. Also, the heat absorption process via a permeable surface can be employed to regulate the thermal field. An optimized Nusselt number of 13.4 is obtained at the high levels of radiation, injection, and heat sink parameters. The modelled fluid flow scenario is often seen in drying, coating,and heat exchange processes, especially in microgravity environments. 2025 The Authors. -
Development and Validation of a Framework to Identify High Potential Employees in Organizations
The present study aimed to develop and validate a multidimensional framework for identifying high-potential employees (hi-pots) to support succession planning and leadership development in organizations. A sequential exploratory mixed-methods approach was employed. In the qualitative phase, semi-structured interviews with seven organizational leaders were conducted to identify key traits and behaviors of hi-pots. The subsequent quantitative phase involved 276 managerial employees who responded to a newly developed measurement scale. The data were subjected to statistical validation to reinforce the proposed model. The validated framework comprises three dimensions: Foundation, growth, and career. The foundation dimension includes inherent traits such as optimism and sociability. The growth dimension, encompassing promotability, adaptability, and proactiveness, showed the strongest predictive power for leadership readiness. The career dimension involves performance-based competencies like technical proficiency and time management. Among these, the growth dimension emerged as the most influential for leadership potential. Organizations can utilize this framework for structured talent identification, improving leadership pipelines, and strategic HR planning. 2026 Econjournals. All rights reserved. -
Do Investors Tend to Overreact when Investing in Clean Energy Stock Indices?
Due to climate change, investors are increasingly interested in clean energy stocks attracting many investors due to clean energy prospects. This paper analyses investor overreactions to long-term prices in various clean energy stock indices, such as Clean Energy Fuels (CLNE), Global Clean Energy (GCEI), as well as the Dow Jones Industrials (DJI) stock index, over the period from 24 February 2022 to 23 May 2024. The results show that the Global Clean Energy (GCEI) clean energy stock index rejects H0 at the 16-day lag at a significance level of 1%; similarly, the Clean Energy Fuels (CLNE) index rejects the null hypothesis at lags 8, 9, 10, 11 and 12 days, both indices show negative serial autocorrelation, which means that price movements are not entirely random and are influenced by prior price movements. This evidence could mean that investors overreact to the information that reaches the market. On the other hand, the ETF (PWYF) and the Dow Jones Industrial Stock Index (DJI) show that the random walk hypothesis has not been rejected. In other words, these markets show that they are in equilibrium and that the existence of exaggerated reactions on the part of investors is not significant. The answer to the research question was partially accepted, so the Russian invasion of Ukraine in 2022 led to the partial presence of overreactions in these stock indices. In conclusion, investors operating in these markets should exercise caution and consider their risk tolerance before investing. Investors should, therefore, continue to monitor market trends and adjust their investment strategies accordingly. 2025, Econjournals. All rights reserved. -
Flexural performance of FDM-fabricated PLA composites reinforced with short carbon fiber
Adding short carbon fiber reinforcement to thermoplastic matrices can improve the mechanical performance of additively manufactured polymer-based composites. This work examines the flexural behavior of Fused Deposition Modeling (FDM)-produced polylactic acid (PLA)-based composites enhanced by short carbon fibers at 3 wt% and 6 wt%. For comparison, unreinforced PLA specimens were also fabricated under identical processing conditions. All the samples were tested for flexural strength using a three-point bend test, following the ASTM standards for polymer composites. The results showed a clear improvement in strength as the reinforcement content increased. The PLA composite with the 3% short carbon fiber reinforcement showed a noticeable increase in load-bearing ability, while the 6% reinforced composite had an impressive 88% higher flexural strength than the plain PLA. To examine how the materials failed, SEM has been utilized to assess the samples' fractured surfaces. 2026, Gruppo Italiano Frattura. All rights reserved. -
Assessing the environmental consequences of artificial illumination on marine ecosystems: Legal and ecological perspectives
Fishing has been traditionally practiced using sustainable methods and eco- friendly techniques which ensured the conservation of fish diversity and its population. The traditional fishing techniques used were hand-lining, spearfishing, gleaming, harpoons and spears. However, with technological advancements LED fishing techniques has gained prevalence among fishermen due to their high-intensity LED lights (Light-Emitting Diodes) for fishing. This method enables them to catch fish in larger quantities. Such LED lights can penetrate deeper into the water and illuminate larger areas than traditional methods, disrupting the natural behavior of marine organisms. As a result, this practice leads to a significant decrease in fish populations, adversely affecting marine ecosystems. Although LED fishing offers certain advantages, such as improved efficiency and reduced fuel consumption, it raises serious concerns regarding its socio-legal and environmental impact and highlights the need for effective legal and regulatory frameworks. In this background, the current study explores the socio-economic impacts on fishing communities, which are disproportionately affected by the introduction of this technology. Further, the research delves into the ecological consequences of LED fishing, including its potential to disrupt fish behaviour, alter food chains, and damage sensitive marine ecosystems. It will also analyze the legal and regulatory challenges associated with managing LED fishing and examine the existing Legal framework that is applicable in international and national Contexts. Finally, the paper will propose a framework for sustainable LED fishing. Copyright (c) 2026 The Authors. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. -
Cultural resonance in the brain: EEG-Based insights into emotional engagement with festive imagery
Festive imagery is fundamental in constructing cultural identity, affective resonance, and collective memory. The neural engagement patterns in Kolkata individuals, upon viewing familiar and unfamiliar festive images, have been studied by using electroencephalography (EEG) as an on-line, non-invasive indicator of neural activity. In particular, the study compares participants' neural reactions to images of the Onam festival of Keralaa culturally unfamiliar festivalto those of Durga Puja celebrations outside Kolkata, which, although culturally familiar, are not immediately geographically specific. The EEG parameters that were assessed were cognitive load, emotional arousal, neural stimulation, and frontal lobe activation linked to attention and affective processing. Results show that novel but colorful festive images like Onam had greater and longer-lasting cognitive and emotional activation than familiar Durga Puja images. Such increased activation was associated with augmented beta and gamma wave activity, reflecting high arousal and attention, as well as marked frontal lobe activation. The findings indicate that novelty, visual symbolism, and the richness of cultural representations have a central role to play in the modulation of cognitive processing and emotional resonance, even among culturally homogenous populations. The research adds to the growing body of literature in neuroaesthetics and cultural neuroscience by demonstrating how culturally unfamiliar but symbolically dense images can elicit profound cognitive and affective responses. These findings have implications for intercultural communication, visual media design, and festival tourism promotion, where strategic deployment of culturally diverse imagery can increase audience engagement and emotional resonance. Copyright (c) 2026 The Authors. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. -
Neurocognitive modeling of emotional states using EEG and hidden markov models: A multidisciplinary approach
This interdisciplinary research cuts computational modeling and cognitive neuroscience approaches with the intention of studying dynamic emotional involvement with multimedia stimuli via HMM analysis of EEG data. In particular, the paper deals with advertisements that target excitement and love-type emotions, setting forth new paradigms for understanding the building and modulation of emotional experience across time in the human brain. EEG parameters such as amplitude, arousal, and frontal activation were studied as markers of neural reactions to emotionally arousing content. The neural markers are tracked over time to record the changes in emotional engagement. The HMMs use identifies hidden neural states and their probabilistic transitions, making the temporal description of neural dynamics during emotional processing rich and nuanced. The analytical approach provides identifiable neural patterns for excitement and love stimuli distinguished in terms of arousal, spectral amplitude, and hemispheric asymmetry in frontal activation. Due to these distinctions, we ascertain that the brain processes different affective tones distinctly, shedding light on the intricacies of emotion perception and its immediate brain counterpart. Using the results, a predictive HMM model is presented to model emotional changes when individuals are subjected to effective multimedia stimuli. The model serves as a bridge to further real-time developments in human-computer interaction, adaptive e-learning, immersive media conception, and affective UX (user experience) optimization. In other words, this enables the system to detect shifts in the user's emotions automatically and adapt content accordingly, representing truly affect-sensitive technologies. Amalgamating computational modeling with neurophysiological measurement, this study contributes to the birth of emotion-aware technology that can be dynamically responsive to the users' current affective state, thus harnessing engagement, personalization, and user satisfaction as opportunities. It builds on the interdisciplinary discourse between cognitive neuroscience, affective computing, and computational psychology to serve as a methodological guideline for future investigations into emotional dynamics and brain-computer interfaces (BCIs), as well as neuroadaptive technology. It makes a case for the relevance of temporal modeling in decoding emotional cognition and therefore advocates the continued employment of machine-learning approaches in brain activity and human affective behaviour studies. Copyright (c) 2025 The Authors. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. -
Development of an integrated well-being programme for micro, small-and medium-sized enterprise workers in India: A technical note
Workers in Indias micro, small- and medium-sized enterprise (MSME) sector often face a convergence of occupational risks, including long working hours, physical strain, economic insecurity, and limited access to health resources. Despite the sectors critical contribution to national productivity, structured programs addressing the holistic well-being of MSME workers remain scarce. This technical note outlines the development of an integrated well-being intervention designed to enhance physical, psychological, and social health among MSME workers across diverse Indian contexts. Drawing on both indigenous and global practices, the program combines simple yoga-based movements, breathing exercises, and mindfulness techniques with Western approaches such as Jacobsons Progressive Muscular Relaxation (JPMR). The intervention is delivered over two phasesa 21-day facilitator-led group session followed by a 21-day self-practice period to support skill development and habit formation. Designed for scalability and accessibility, the content uses culturally relevant language and experiential activities to ensure engagement in low-literacy and resource-limited settings. This note details the theoretical grounding, content structure, and delivery framework of the program, offering a practical, context-sensitive model that can be adapted for workplace well-being initiatives within the Indian MSME sector. Copyright (c) 2025 The Authors. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. -
Evaluating the impact of a multidimensional Well-being intervention for micro, small-, and medium-sized enterprise workers in Assam, India: A single-group feasibility study
Contemporary health research underscores the importance of comprehensive well-being, particularly within occupational environments that profoundly shape individual health experiences. The Micro, Small, and Medium Enterprises (MSME) sector represents a complex workplace ecosystem characterized by multifaceted challenges that potentially compromise worker welfare. In the northeastern Indian State of Assam, MSME sector workers represent a vulnerable population that experiences distinctive professional and personal stressors. This research aims to investigate an intervention that integrates holistic well-being strategies, specifically combining traditional Indian yoga practices with Western relaxation methodologies. The proposed approach seeks to address workers physical, psychological, and social dimensions of health within the challenging MSME sector context of Assam, India. The study is a single-group feasibility trial with pre, post- and follow-up assessments to assess the impact of the well-being intervention. A sample of 35 MSME workers from Assam, India (n=35), participated in a 3-week intervention program. Baseline, postintervention, and follow-up assessments after 3 weeks of physical, psychological, and social well-being were obtained via standardized scales. To analyze the quantitative data, repeated-measures ANOVA (RMANOVA) was performed within the intervention completing participants to evaluate the interventions effect. Two-tailed tests of significance were performed. The findings of the study indicated that the intervention led to significant improvements in physical, psychological, and social well-being, with effects being sustained and further enhanced at follow-up. Repeated-measures ANOVA with GreenhouseGeisser corrections revealed significant time effects for general health (r)' = .567), musculoskeletal pain (r)' = .825), perceived social support (r)' = .678), and mental well-being (r)' = .726), all p <. 001. The participants reported reduced general health concerns, decreased musculoskeletal pain, and increased perceived social support and mental well-being from preintervention to postintervention and follow-up. The study offers empirically grounded insights into the potential transformative effect of integrated multidimensional well-being intervention. Copyright 2023 DOI Foundation. The content of this site is licensed under a Creative Commons Attribution 4.0 International License. -
Navigating personal guarantor liability in insolvency: Transformative and transactional shifts in the legal framework
The liability of personal guarantors under Indias insolvency regime has undergone a significant transformation with the introduction of insolvency provisions under the Insolvency and Bankruptcy Code, 2016 (IBC). This research critically examines the evolving legal framework governing personal guarantors, analysing recent judicial pronouncements and legislative changes that have redefined their rights and obligations in relation to corporate debtors and creditors. The study explores how including personal guarantors in the insolvency process has streamlined creditor recoveries while providing structured financial resolution mechanisms for guarantors. Additionally, the paper assesses the cross-border insolvency framework, comparing India's approach with international insolvency regimes, particularly in the context of harmonisation efforts and global best practices. Through a doctrinal research methodology incorporating statutory analysis, judicial interpretations, and comparative legal studies, the research identifies key challenges, including due process concerns, enforcement inefficiencies, and complexities in cross-border insolvency cases. The findings indicate that while the evolving insolvency framework enhances creditor protection and financial recovery, it raises concerns regarding fairness and procedural safeguards for personal guarantors. The paper advocates for a balanced approach to insolvency laws, calling for targeted reforms to address enforcement gaps and ensure equitable treatment for all stakeholders. By analysing domestic and international perspectives, this study contributes to the discourse on personal guarantor insolvency and offers recommendations to enhance the efficacy and fairness of the resolution process. 2025 Malque Publishing. All rights reserved. -
'Maritime Big Play Strategy': Solidifying the role of Aukus in the Indo-Pacific region
The Indo-Pacific region is undergoing substantial shifts, driven by China's rising influence and the increasing importance of maritime security. As a result, in 2021, Australia, the United Kingdom, and the United States formed a trilateral security agreement known as AUKUS. This alliance addresses concerns in the region about China's military buildup, economic projects such as the Belt and Road Initiative, and assertive actions over the South China Sea. The strong, well-coordinated presence of AUKUS is intended to protect navigation freedoms, enforce international standards, and ward off aggression. In response, technology and information sharing are prioritized, along with improving defense capabilities, such as building Australia's nuclear-powered submarines. Furthermore, to promote stability in the Indo-Pacific, AUKUS has supported its members' defense industries. This paper assesses AUKUS's impact as a new regional partnership and explores how it is perceived among countries in the Indo-Pacific region. The paper views this phenomenon through a theoretical construct of liberalized militarism propounded in 2024. A conceptual case study approach with mixed methods has been employed to determine the significance of this international organization for India and other regional actors involved. The key themes covered in the paper include innovation and technical know-how advancements in defense and security to increase supply chain resilience, which has raised nuclear proliferation concerns for the intercontinental actors involved. Today, AUKUS stands as a vital global force, changing the trajectory of world politics away from hegemony toward armed harmony enhancing interoperability cooperation among its member states. This makes this paper crucial for academia to be aware of this growing alliance partnership, which is changing regional and international dynamics. 2025 Malque Publishing. All rights reserved. -
A critical analysis onto the conundrum of valuation of IP assets as part of liquidation process under IBC, 2016
This study critically examines the valuation of Intellectual Property (IP) assets during the liquidation process under the Insolvency and Bankruptcy Code (IBC), 2016, emphasizing its profound impact on creditor recovery and the efficiency of insolvency proceedings. The research employs a rigorous mixed-methods approach, combining qualitative analysis of high-profile case studies with quantitative assessments of valuation methodologies, such as market, income, and cost approaches. The central research issue revolves around the complexities and challenges of accurately valuing IP assets, which are often unique and lack direct market comparables. The study also scrutinizes the regulatory framework and the pivotal role of registered valuers in ensuring transparent and equitable asset valuation. The findings reveal that precise valuation is not merely a procedural requirement but a critical determinant of liquidation outcomes, influencing the overall recovery rate for creditors and the viability of IP-backed financial instruments. The paper argues that the meticulous calculation of discount rates and adherence to standardized valuation practices can significantly enhance the credibility of the insolvency process, attract more substantial investments, and ultimately lead to superior financial recoveries. This research provides vital insights and robust recommendations for policymakers, legal professionals, and financial analysts, advocating for a more refined and transparent approach to IP asset valuation under the IBC, thereby strengthening India's insolvency framework and market integrity. 2025 Malque Publishing. All rights reserved. -
A taxation perspective on how domestic double taxation on corporate taxes affects Indian commerce
This paper examines the impact of domestic double taxation on corporate taxation in India after the abolition of the dividend distribution tax (DDT) and the introduction of the new tax rates and rules in 2020. Domestic double taxation occurs when the same income is taxed twice by the same jurisdiction, such as at the corporate and shareholder level. Using data from the Income Tax Department and the Reserve Bank of India, this paper estimates the effective tax rate on corporate income and dividends in India under the current tax system. It compares it with the previous tax system and the international standards. It also analyses the effect of domestic double taxation on corporate financial decisions, such as the dividend payout ratio, the retained earnings, the debt-equity ratio, and the investment rate. It evaluates the effect of domestic double taxation on corporate tax revenue, tax incidence, and tax efficiency. The authors identify that, between 2019 and 2023, corporate income tax revenue in India increased alongside nominal GDP growth, with a notable positive correlation coefficient between the two variables. The empirical analysis technique involves gathering and analyzing quantitative data to assess the real impact of new tax reforms and reduced corporate tax rates. Finally, this study proposes policy recommendations to mitigate the adverse effects of domestic double taxation and improve India's corporate taxation system and GDP. This paper contributes to the literature by providing updated and comprehensive empirical evidence on domestic double taxation and corporate taxation in India and by offering some insights and suggestions for the policymakers, the tax authorities, the corporate sector, and the academic community. 2025 Malque Publishing. All rights reserved. -
Development through ICT: A study on teachers perspectives on challenges in online education for tribal students amid COVID-19
Online education became an integral part of the education system during the COVID-19 pandemic. All the schools, colleges and universities adopted new technology in teaching-learning pedagogy. Academicians and students were taught to practice online education with many challenges and difficulties. The Constitution of India includes many beneficial provisions to promote the integral development of scheduled tribes. It enables them and protects them from socioeconomic status and forms of exploitation. In Kerala, the Scheduled Tribes Development Department is implementing various programs for the educational, social and economic development of Scheduled Tribes. Kerala is the most literate state in India. It creates a strong academic foundation at the school level. Even though the COVID-19 pandemic spread throughout the world, the government continued education in the state through the VICTERS educational television channel with the help of various ICT tools. This studys objective is to determine the challenges faced by tribal students in the Idukki District of Kerala State in online education and to understand the social and technological challenges they face in the learning process. An in-depth interview method was adopted for the study. This qualitative study explored the perspectives of teachers who teach tribal students. 2025 Malque Publishing. All rights reserved. -
Attributes of virtual influencers: Science mapping and future agenda
Virtual influencers, constructed using advanced computer-generated imagery and artificial intelligence, have emerged as disruptive forces in the realm of influencer marketing. In contrast to their human counterparts, virtual influencers provide brands with enhanced control, adaptability, and scalability, effectively engaging audiences on a global scale across various digital platforms. However, despite their increasing prevalence and commercial uptake, scholarly exploration into their attributes and impacts remains sporadic and underdeveloped. This study conducts a systematic literature review and bibliometric analysis of 172 peer-reviewed articles indexed in Scopus, employing the SPAR-4-SLR methodology to delineate the knowledge framework surrounding virtual influencers. By utilizing Biblioshiny from the bibliometrix package and VOSviewer for analytical and visualization purposes, this research reveals that attributes such as trustworthiness, expertise, attractiveness, similarity, and anthropomorphism dominate the current discourse. Conversely, attributes such as authenticity, source realness, emotional expression, novelty, autonomy, and interactivity have been identified as largely underexplored. The bibliometric analysis illustrates a marked increase in academic output since 2020, primarily concentrated in journals focused on marketing, social sciences, and human?computer interaction. Thematic mapping further highlights key areas of focus, with motor themes identified as anthropomorphism, virtual reality, and consumer engagement, indicating their foundational importance in the current landscape of virtual influencer research. Several research gaps persist, particularly in the areas of cross-cultural consumer responses to virtual influencers, ethical considerations, parasocial interactions, and comparative effectiveness analyses between virtual and human influencers. Overall, our study synthesizes the literature, systematically categorizes the key attributes of virtual influencers, and proposes a future research agenda aimed at advancing theoretical frameworks and managerial effectiveness. The insights gained here will guide researchers in identifying pertinent variables for empirical investigation and assisting practitioners in crafting strategies that enhance consumer trust, engagement, and purchase intention, ultimately navigating the evolving terrain of digital marketing more effectively. 2026, Malque Publishing. All rights reserved. -
The impact of audit committee independence and competence on investors investment decision making: A study in the Indian context
This study examined the impact of an independent and competent audit committee on the decision-making process of investors in the Indian capital market and adopted a quantitative approach in which cross-sectional data are gathered with the help of a self-administered questionnaire survey. The selection of participants involves a stratified random sample technique, specifically targeting 441 regular investors associated with nine prominent brokerage houses in the Delhi NCR engaged in equity market investments. Descriptive analysis is applied to discern respondent characteristics, whereas correlation and regression analyses are utilised to test and elucidate the relationships and influences among variables in the model. The findings of this study, which indicate a notable correlation between investors' investment decision-making in India and the independence and competence of the audit committee, are in line with the expectation that independence and competence are essential attributes that the audit committee must possess. These characteristics, in turn, have a notable influence on investors' investment decisions. The outcome of this paper fills a gap in the literature by offering insights into the vital attributes of audit committee independence and competence that notably contribute to investment decision-making in India. This research examined the impact of an independent and competent audit committee on the decision-making process of investors in the Indian capital market, which has never been examined before. Thus, the findings shed light on the influence of board independence and competence on the decision-making process of investors in the Indian capital market. 2025, Malque Publishing. All rights reserved. -
Deep Learning-Based Signal Detection Techniques for Real-Time Communication in Fading Channels
Dependable signal detection has also been a major concern in real-time wireless communication especially in the case of fading channels that cause non-adaptive distortion and deteriorate the overall performance drastically. The conventional detection meth-ods, like the maximum likelihood detection, are not always adaptive in the circumstances of dynamic and therefore unpredictable channel conditions, and particularly in the cases when the statistical profiles are unknown or vary too quickly. In order to address these shortcomings, the papers introduce a new paradigm of deep learning signal detection trained to learn hierarchies and temporal patterns of raw received signals, which by their pas integrate convolutional neural networks (CNN) and recurrent neural networks (RNN). The trained architecture is end-to-end that is able to map the noisy distorted inputs to their symbols which are inherently transmitted in the context of channel state informa-tion. Heavy simulation over Rayleigh and Rician fading channels with different Doppler spreads and SNR values shows that the suggested approach shows substantial improve-ment over the traditional maximum likelihood and classical machine learning-based detec-tors regarding bit error rate (BER), inference latency and computational overhead. Such results emphasize the performance as well as the flexibility of deep learning model in very dynamic propagation conditions. On the whole, this paper draws the conclusion that deep learning is a perspective direction to solve the problem of real-time detection of a signal in next-generation wireless networks, such as a 6G or IoT edge setup. 2025, Society for Communication and Computer Technologies. All rights reserved.