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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. -
A Novel Investigation on p-GaN GATE with and without AlGaN Back Barrier for AlGaN/GaN High Electron Mobility Transistors
p-GaN layers are relatively mature and controllable, making p-GaN HEMTs the leading structure that is most likely to be commercialized. The analysis of the gate design parameters, such as transconductance, breakdown voltage, threshold voltage, Johnson Figure of Merit (JFOM), and gate turn-on current of p-GaN devices, which determine the on-state characteristics, needs to be investigated. The AlGaN barrier, p-GaN gate, GaN, AlGaN back barrier, and SiC substrate constitute the structure of p-GaN, which is operated in the E-mode. The use of an AlGaN back barrier reduces the punch-through current. Silicon carbide (SiC) is used as a substrate to have lower lattice mismatch with the nitride layer. The transfer characteristics, transconductance, threshold voltage, breakdown voltage, and JFOM are analyzed. The device demonstrates a positive threshold voltage that varies linearly with changes in ambient temperature. In addition, the device featuring an AlGaN back barrier shows a higher breakdown voltage of 105 V, in contrast to the device lacking a back barrier. 2025, Society for Communication and Computer Technologies. All rights reserved. -
DFT Aware Test Architecture for Communication ICs: ATPG-Based Fault Detection on Lower Technology Node
In this research, hafnium dioxide (HfO2) and titanium dioxide (TiO2) are investigated as advanced gate dielectrics for GaN-based MISHEMTs on diamond substrates. AlGaN/GaN MISHEMTs, incorporating HfO2 and TiO2 as gate dielectrics, have been rigorously analyzed and optimized for RF and DC performance through ATLAS TCAD simulations. The MISHEMTs with HfO2 gate dielectrics exhibited impressive metrics: a high drain current density (IDS) of 3.62 A/mm, a breakdown voltage (VBR) of 998 V, a transconductance (gm) of 1.09 S/mm, and a cutoff frequency (fT) of 49 GHz. Conversely, the MISHEMTs utilizing TiO2 as the passivation layer demonstrated even superior performance, achieving an IDS of 3.7 A/mm, a V_B of 1168 V, a gm of 1.13 S/mm, and an fT of 48 GHz. Both dielectric materials contributed to a notably low on-resistance of 4.9 ?mm. The synergistic effect of the diamond substrate with high-performance HfO2 or TiO2 gate dielectrics positions these MISHEMTs as highly promising candidates for next-generation power switching and RF applications, due to their enhanced efficiency and robustness under high-power and high-frequency conditions. The proposed work improves the performance enhancement of Metal-Insulator-Semiconductor High Electron Mobility Transistors (MISHEMTs) with inclusion of diamond substrate. Diamond substrate to its wide energy bandgap ranges of 5.5 eV for used materials for both power electronics and RF applications electrical and Thermal properties are concerned in its high. 2025, Society for Communication and Computer Technologies. All rights reserved. -
Geodetic sets in n-inordinate invariant intersection graphs
Algebraic graph theory is a rapidly growing research area in which several graphs based on algebraic structures are introduced and investigated. The algebraic intersection graphs, called the n-inordinate invariant intersection graphs, and the n-inordinate invariant non-intersection graphs, have been constructed on the symmetric group and various properties of these graphs are studied, in the literature. In this article, we analyse the structure of these graphs by examining different types of geodetic sets in them. 2025, Ankara University Faculty of Science. All rights reserved. -
CONTINUOUS FLOW TERPENE SYNTHESIS: METAL PLATE REACTOR-ENABLED DIELS-ALDER REACTIONS
This study presents an eco-friendly, high-efficiency protocol for the industrial production of terpenes using a continuous flow process with metal plate reactors. Traditional methods like batch processing for terpene production via the Diels-Alder reaction suffer from low efficiency, high waste disposal, and high costs due to stringent requirements. In the current study, the reaction parameters were optimized in a continuous flow setup, focusing on conversion, selectivity, and waste reduction to enhance economic viability. The results of optimization studies demonstrate that reaction completion is attainable at temperatures of 90C and above, under conditions of 4 bar pressure, 1.05 mole equivalents of methyl pentenone, and 0.05 mol% % catalyst loading. The usage of polar solvents was found to adversely affect reagent conversion efficiency. The protocol was validated by comparison with batch methods and demonstrated reproducibility and scalability through a 24-hour continuous process, achieving a 95% mole yield and 96% conversion under optimized conditions. Analyses of Gas chromatography, GC-MS,1 H-and13 C-NMR were used to confirm the products. The findings support the industrial potential of the protocol for sustainable terpene production, reducing polymerization and minimizing by-products. 2025, Rasayan Journal of Chemistry, c/o Dr. Pratima Sharma. All rights reserved. -
Evaluation of Potential Toxicity of Calotropis gigantea Leaf Extract on Danio rerio: Bioactive Compounds, Oxidative Stress and Histological Toxicity Analysis
A greater understanding of the ecotoxicological effects of plant-based products is required due to their increasing use. Despite its long-recognised medicinal properties, Calotropis gigantea possesses toxic characteristics that necessitate further investigation into its chemical composition and biological effects. This study evaluates the toxicity of crude C. gigantea leaf extracts on the freshwater fish Danio rerio over a 30-day exposure period. Alongside GCMS analysis, which identified 48 major constituents, the total phenolic content (TPC), total flavonoid content (TFC), and antioxidant activity were assessed using the DPPH assay. The extracts exhibited a higher flavonoid content than phenolic content, indicating strong antioxidant potential. In contrast, biochemical analyses revealed that exposed fish showed significantly elevated levels of oxidative stress biomarkers, including succinate dehydrogenase (SDH), glutathione S-transferase (GST), glutathione reductase (GR), catalase (CAT), and superoxide dismutase (SOD), signifying cellular stress and disruption of redox homeostasis. Histological examinations of the liver, brain, muscle, and gills of treated fish demonstrated notable alterations. The gills exhibited lamellar fusion and epithelial lifting, impairing respiration. The brain showed neuronal vacuolation and degeneration, suggesting neurotoxicity, while muscle tissues displayed myofibrillar degeneration. Liver samples revealed hepatocyte necrosis and vacuolisation, indicative of metabolic dysfunction. Collectively, these enzymatic and systemic histopathological responses emphasise the toxicological impacts of C. gigantea extracts on aquatic organisms. The findings underscore the importance of ecotoxicological evaluations and the dual nature of medicinal plants such as C. gigantea, which can be both therapeutic and harmful. In addition to stressing the necessity for cautious application and further research to elucidate the mechanisms underlying their toxicity, this study provides valuable insights into the biological effects of plant-derived compounds. 2025, Dr Tarak Nath Podder Memorial Foundation. All rights reserved. -
ANALYZING THE BEHAVIORAL CORRELATES OF GUILT-FREE FOOD CONSUMPTION: STUDY OF GEN Z PERSPECTIVE
This study investigated the factors influencing Gen Z's purchase intentions for guilt-free food products in India. The aim of the study is to examine the relationship of food habits among the current generation using the Theory of Planned behaviour. Using purposive sampling, the data was collected from 318 Gen Z students in major Indian cities. SPSS and AMOS were utilised to conduct the analysis of the sample. The analysis revealed that attitude, perceived behaviour control and subjective norms significantly influenced the purchase behaviour. The study provides valuable insights for marketers, policymakers, and food producers seeking to promote guilt-free food products among this influential demographic. 2025 Amity University. All rights reserved. -
Deep and Hybrid Ensemble Learning Methods for Enhanced Live-Birth Prediction in Fertility Treatments
The prediction of live birth outcomes using Assisted Reproductive Technologies (ART) remains a complex task owing to the high inter-patient variability and non-linear clinical interactions. This study presents a comparative evaluation of hybrid machine-learning models to improve in vitro fertilization (IVF) success prediction using a real-world anonymized dataset of 2,000 ART cases. After pre-processing (including missing value imputation, feature selection via Recursive Feature Elimination with Cross-Validation, and class balancing using SMOTE with k=5), four hybrid models were developed: stacking with XGBoost as the meta-learner, weighted ensemble, autoencoder-based feature fusion, and cascading classifiers. Models were evaluated using accuracy, AUC, precision, recall, and F1-score metrics, and compared against a baseline Random Forest classifier. The stacking model (XGBoost with Random Forest, MLP, and SVM base learners) achieved the best performance, with an accuracy and 0.999 AUC of 0.985. The weighted hybrid ensemble followed an accuracy of 0.953 and AUC of 0.994. The statistical significance of the improvements was confirmed using Wilcoxon Signed-Rank and McNemars tests (p < 0.05). To enhance model transparency, SHapley Additive exPlanations (SHAP) was applied to interpret base model contributions in the stacking architecture. These results support the application of AI-driven hybrid modelling for personalized IVF treatment planning. Future work will focus on prospective validation and clinical decision support system (CDSS) integration to assess deployment feasibility. (2025), (Slovene Society Informatika). All rights reserved. -
Imagined Communities in Bollywood: A Contrapuntal Reading of The Kashmir Files and Mulk
Under the Modi regime, Hindu nationalist ideologies have gained prominence, resulting in a growing utilisation of cinema as a political tool in India. This article explores Bollywoods role as a mass cultural medium in shaping communal identities through a contrapuntal analysis of two ideologically opposed films: Mulk (2018) and The Kashmir Files (2022). Utilising Benedict Andersons concept of imagined communities and Edward Saids contrapuntal reading technique, the research examines the role of these films in shaping narratives of majoritarian Hindus and minority Muslims. The Kashmir Files promotes a one-dimensional communal narrative that portrays Muslims as the aggressors and Hindus as the victims, thus bolstering Hindutva ideologies. Conversely, Mulk challenges this narrative by depicting the Muslim community as unjustly demonised and seeking justice in a pluralistic context. This article outlines Bollywoods involvement in the broader political discourse surrounding religious identity in India through a comparative analysis of themes like terrorism, visual stereotyping, and the representation of jihad. The findings are intended to contribute to the critical discussion surrounding nationalism, media representation, and communal politics in present-day South Asia. 2025, International Islamic University Malaysia. All rights reserved. -
Ableisms Impact on Body and Identity in Indra Sinhas Animals People
This study explores the link between ableism and identity formation through the discourse analysis of Indra Sinhas Animals People (2007). Set against the backdrop of a post-industrial disaster, the Bhopal gas tragedy in an Indian metropolis, the novel provides a powerful narrative about the marginalised. By analysing the social perceptions and structures that define ability, normalcy, and physical beauty, the study investigates how societal norms and cultural attitudes frame the protagonists experiences of exclusion and identity crisis. The study further investigates how the novel critiques the broader social and cultural dimensions of ableism in post-colonial contexts, revealing the intersection of power, disability, and identity in the social fabric of Asian societies. Social constructionist perspectives provide a framework for comprehending the social construction of disability, stigma, othering of disabled bodies, and cultural norms of beauty, normalcy, ability, and identity. Subjective and objective realities are discussed around the character, Animal. The study findings reveal the profound personal consequence of ableism on the self-image, body image, and self-perception of individuals with disabilities, the dehumanisation, marginalisation, and ultimately, an identity crisis of disabled individuals. 2025 International Islamic University Malaysia. All rights reserved. -
Dynamic Performance Analysis of D-STATCOMs for Mitigating Charging Station Impacts in Photovoltaic Distribution Systems Using Enhanced HunterPrey Optimization
This study investigates the dynamic operational performance and optimal allocation of Distribution Static Compensators (D-STATCOMs) in PVEV integrated distribution systems to mitigate the impacts of voltage fluctuations, increased power losses, and reactive power imbalances. An Enhanced HunterPrey Optimization (EHPO) algorithm is proposed in the study, incorporating chaotic initialization, adaptive parameter control, and Cauchy's mutation exploration strategy to improve global search capability and convergence reliability. The proposed method is validated on the IEEE 33, 69, and 118-bus distribution test systems under varying PV generation and EV charging demand scenarios. Results show that the EHPO-based D-STATCOM placement significantly reduces active power losses and enhances voltage stability. The findings highlight the effectiveness of combining advanced metaheuristic optimization with custom power devices to ensure the resilient, reliable, and sustainable operation of future EVPVdominated distribution networks. 2026, TUBITAK. All rights reserved. -
DNA Data Storage: A Novel Approach to High Density, Long Term Digital Storage
With global data volume expected to reach 175 zettabytes by 2025, existing data storage systems face growing issues due to limited durability, high costs, and susceptibility to data loss. DNA, a naturally occurring biomolecule with extremely high storage density and extraordinary stability, has emerged as a promising alternative for long-term digital data preservation. Major challenges remain, including the high cost of DNA synthesis and the slow rates of encoding and data retrieval. Recent advances in DNA nanotechnology, molecular computation, nanopore sequencing, and hybrid silicon-DNA systems are helping to overcome these difficulties. Sequence-based techniques provide exceptional density, while structural DNA approaches allow for dynamic rewriting and reusability. Ongoing research and innovation indicate that DNA-based storage is becoming more feasible in terms of efficiency, scalability, and cost-effectiveness, making it a plausible contender for meeting future data preservation demands. 2026, TUBITAK. All rights reserved.