ACTA SCIENTIAE is an international, peer reviewed, open access, scientific and scholarly journal which publishes Research papers, Review papers, Mini reviews, Case reports, Case studies, Short communications, Letters, Editorials, Books, Thesis, Dissertation works, etc., from all the aspects of Agricultural Science, Biological Science, Business, Chemical Science, Education Science, Engineering and Technology, Humanities, Life Science, Physical Science, Marine Science, Social science. After publishing, articles are freely available through online without any restrictions or any other subscriptions to researchers and readers worldwide ISSN:1517-4492 | E-ISSN:2178-7727 | Publisher: Lutheran University of Brazil | Year:1999
Desire and Denial: Masculinity Crisis and the Politics of Intimacy in Red Lipstick: The Men in My Life by Laxmi Narayan Tripathi
The present research explores the issue of intimacy and masculinity crisis in Laxmi Narayan Tripathi's memoir titled Red Lipstick: The Men in My Life (2016) using the theory of hegemonic masculinity by R.W. Connell. According to the paper's main postulate, hegemonic masculinity constructed by society in India is inherently fragile in its confrontation with male lust for a transgender person. Using qualitative textual analysis, the research detects the presence of four major themes in Red Lipstick (i.e., desire and denial, secrecy, power disparity, and emotional labour). Based on these themes, it is possible to conclude that the characters of the men depicted in the book tend to pursue intimacy in private and disown it publicly in compulsive manner. By referring briefly to the ideas of Butler regarding gender performativity and Sedgwick about the closet, the paper demonstrates that Red Lipstick becomes an essential field for understanding the disruption of hegemonic masculinity due to the presence of transgender individuals.
: hegemonic masculinity, transgender studies, masculinity crisis, intimacy.
IMPACT OF EMPLOYEE EXPERIENCE ON EMPLOYEE PRODUCTIVITY WITH SPECIAL REFERENCE TO PRECOT MERIDIAN LIMITED, WALAYAR, PALAKKAD
Employee experience has emerged as a critical factor influencing productivity and overall organizational performance, especially in manufacturing industries like textiles. This study examines the impact of employee experience on employee productivity at Precot Limited (formerly Precot Meridian Limited), Walayar, Palakkad. The research focuses on key factors such as work environment, management support, communication, welfare measures, and employee engagement. A descriptive research design was adopted, and data were collected from 306 employees selected using Krejcie and Morgan’s sample size table and a simple random sampling method. Quantitative analysis, including correlation, revealed a strong positive relationship (r = 0.72) between employee experience and productivity. The findings indicate that a supportive work environment, effective communication, recognition, and welfare initiatives significantly enhance employee motivation, engagement, and efficiency. The study highlights the importance of employee-centric HR practices for achieving sustainable organizational growth and improved performance in the textile sector.
Employee Experience, Employee Productivity, Work Environment, Management Support, Employee Engagement, Textile Industry
STUDY ON WORKFORCE AGILITY AND ORGANIZATIONAL CITIZENSHIP BEHAVIOUR OF HIGHER EDUCATION PROFESSIONALS
The higher education sector is experiencing rapid transformation due to globalization, technological advancements, and increasing societal expectations, thereby demanding greater adaptability from academic professionals. In this context, the present study examines the relationship between workforce agility and organizational citizenship behaviour (OCB) among higher education professionals in Coimbatore district. The study adopts a descriptive research design and collects data from 150 respondents using a structured questionnaire comprising workforce agility and OCB scales. Statistical tools such as mean, standard deviation, t-test, ANOVA, correlation, and regression analysis were employed. The findings reveal that the majority of respondents exhibit a moderate level of workforce agility and OCB. Significant differences were observed in workforce agility and OCB based on designation, while OCB also varied across institution types. The study further identifies a positive and significant relationship between workforce agility and OCB (r = 0.239, p < 0.05). Regression analysis indicates that workforce agility significantly predicts OCB, explaining 5.7% of the variance. The results suggest that professionals who are adaptable, flexible, and proactive are more likely to engage in extra-role behaviours that support organizational effectiveness. The study concludes that enhancing workforce agility through continuous learning, skill development, and supportive institutional practices can strengthen organizational citizenship behaviour among higher education professionals, thereby contributing to institutional growth and performance
A STUDY ON IDEAL TIME AND METHODS OF COMMITTED SUICIDE IN VILLUPURAM DISTRICT, TAMIL NADU
The study examines the patterns, causes, and socio-demographic profile of suicide in India with a specific focus on Villupuram District, Tamil Nadu. Suicide is a major public health concern and one of the leading causes of death globally, particularly among youth. In India, over 1.7 lakh suicides were reported in 2023, with rising trends linked to family problems, illness, and substance abuse. The study adopts a descriptive research design using secondary data collected from Government Villupuram Medical College records (October 2023–September 2025), covering 160 cases. Findings reveal that males (65%) and married individuals (82%) constitute the majority of victims, with the highest incidence in the 21–30 age group. Family-related issues emerged as the primary cause, followed by interpersonal conflicts. Most suicides occurred during late night and early morning hours, commonly through poisoning and hanging. The study highlights the need for community-based interventions, mental health awareness, and strengthened preventive strategies to address this growing social problem.
Family Problems, Mental Health, Suicide, Villupuram District
HIGH-PERFORMANCE CR₂O₃ THIN FILMS VIA OPTIMIZED SOL-GEL DEPOSITION: STRUCTURAL AND ELECTRICAL ANALYSIS
Nanostructured Cr₂O₃ thin films were synthesized using the sol-gel method and deposited onto glass substrates by spin coating. The optimization of deposition parameters, including precursor concentration (0.5 M, 1.0 M, 1.5 M), spin speeds (1000, 2000, 3000 rpm), and deposition times (30, 60, 90 seconds), was performed using Design Expert software. The films were annealed at 500°C for 2 hours to promote crystallization. Characterization of the films was carried out using X-ray diffraction (XRD), Fourier transform infrared (FTIR) spectroscopy, scanning electron microscopy (SEM), atomic force microscopy (AFM), and transmission electron microscopy (TEM). The XRD patterns revealed a dominant (104) diffraction peak at 2θ = 36.5°, indicating the formation of Cr₂O₃ with a crystallite size of approximately 25 nm. FTIR spectra showed strong peaks at 570 cm⁻¹, confirming Cr-O bonding in the films. SEM images demonstrated smooth, uniform surfaces with no cracks at a spin speed of 2000 rpm, and AFM analysis revealed an average surface roughness of 3.2 nm. TEM images confirmed the nano-sized grains and homogeneity of the films. The electrical conductivity of the films was found to be 1.2 × 10⁻³ S/cm, and the thermal conductivity was measured at 0.85 W/m·K. The optimized Cr₂O₃ thin films exhibited good crystallinity, excellent morphology, and desirable electrical and thermal properties, making them suitable for applications in sensors and optoelectronics.
Crystallinity, Electrical conductivity, Energy storage, Nanostructured thin films, Spray deposition, Chromium oxide
Cu2+ and Cr6+ recovery from Simulated Waste Water using Zinc oxide Loaded Potato Peel Nanocomposites
In the present study, potato peel loaded nanoparticles were employed as adsorbent materials for the removal of Cu2+ and Cr6+ from aqueous solutions. Experimental observations indicated that different nanoparticles exhibited significant adsorption potential toward ampicillin. The maximum adsorption capacities were calculated as 128.6 mg/g for copper and 98.99 mg/g for chromium using ZnO@PP nanoparticles. Equilibrium analysis revealed that the adsorption behavior was best represented by the Freundlich isotherm model, suggesting multilayer adsorption on a heterogeneous surface. Kinetic investigations further indicated that the adsorption process is mainly controlled by a chemisorption mechanism. The removal of both metals is likely governed by several interactions, including surface complexation, electrostatic attraction, and hydrogen bonding between the adsorbent surface and antibiotic molecules. Thermodynamic evaluation demonstrated that the adsorption process is spontaneous and thermodynamically favorable. In addition, all combinations of nanoparticles showed satisfactory regeneration ability, maintaining considerable adsorption efficiency for up to three successive reuse cycles.
Antibiotics, copper oxide NPs, iron oxide NPs, synthesis and characterization, adsorption studies.
BRIDGING SCIENCE AND POLICY: THE CLEAN FRAMEWORK FOR SYSTEMS-LEVEL MICROPLASTICS MITIGATION WITHIN THE ONE HEALTH APPROACH
Microplastics are increasingly recognized as pervasive pollutants with adverse impacts on ecosystems, animal health, and human well-being. Despite growing evidence of their prevalence and toxicity, existing mitigation strategies remain fragmented, reactive, and sector-specific. This paper introduces the CLEAN framework, Cut, Lock, Extract, Amend, and Network, as an OSH-inspired One Health approach to systematically address the global microplastics crisis. The framework emphasizes source reduction through sustainable production and circular economy practices (Cut), containment and filtration measures across industrial and environmental pathways (Lock), removal of legacy contamination from soils, sediments, and aquatic systems (Extract), ecosystem restoration and remediation through habitat protection and soil–water amendments (Amend), and cross-sectoral collaboration and policy alignment that integrates community action with global governance (Network). The CLEAN framework is grounded in the principles of systems thinking, recognizing that microplastic pollution arises not from isolated sources but from a web of interrelated human, environmental, and industrial activities. Cut calls for upstream interventions, such as redesigning materials, reducing plastic dependency, and incentivizing biodegradable alternatives to prevent microplastics at the source. Lock involves midstream solutions like installing advanced filtration in wastewater treatment plants, stormwater systems, and industrial effluents to prevent microplastics from entering ecosystems. Extract targets downstream interventions by deploying technologies such as sediment dredging, bioremediation, and magnetic separation to remove accumulated microplastics from the environment. Amend focuses on rebuilding ecological resilience through techniques like phytoremediation, soil conditioning, and restoration of wetlands and riparian zones. Finally, Network underscores the importance of harmonizing regulations, aligning research agendas, mobilizing community awareness, and fostering public–private partnerships for long-term systemic change. Importantly, the CLEAN framework aligns with the One Health paradigm, which recognizes that the health of people, animals, and ecosystems is interconnected. By integrating insights from environmental monitoring, toxicology, epidemiology, and policy analysis, the framework provides a comprehensive, evidence-informed pathway to reduce the burden of microplastic pollution across multiple levels of society. It not only supports scientific advancement but also promotes practical interventions that can be scaled and adapted globally. As global plastic production continues to rise, and microplastics are detected in everything from ocean plankton to human blood, the need for a coordinated, proactive response has never been more urgent. The CLEAN framework offers a structured roadmap for stakeholders—scientists, policymakers, industries, and communities—to act cohesively, transforming fragmented efforts into a unified global strategy for mitigating microplastic pollution and safeguarding planetary health.
Circular Economy, CLEAN Framework, Environmental Monitoring, Human Well-Being, Microplastics.
Dr. Abhijeet Das, Dr. Satchidananda Mishra, Dr. Krishna Pada Bauri, Dr. Bhagirathi Tripathy
NARRATIVE ALCHEMY: TRANSFORMING CRIME THROUGH ADAPTATION IN LARS KEPLER’S THE HYPNOTIST
This research unravels and explores the intricate process of adapting Scandinavian crime narratives, delving into the transformation of Lars Kepler’s novel The Hypnotist to its cinematic counterpart, Hypnotisoren. It examines the literary works within crime genre, evolve across different media. By analysing the interplay between source texts and the adaptation of the Swedish film titled Hypnotisoren. The research mainly focuses to unveil the nuances of narrative transformations, exploring how elements such as character development, plot structure, and thematic elements are modified in the process using the Adaptation theory proposed by Linda Hutcheon in path with analysing the intertextual relationship between the original novel and its potential adaptations, specifically investigating how the crime genre is transformed during adaptation. The process and concepts undertaken towards the transformation process are bound through a comprehensive examination. This study seeks to shed light on the dynamic relationship between crime fiction and its adaptations, offering insights into the creative choices made during the transition of these narratives into a film, various other concepts residing under crime fiction narratives and adaptions are discussed to prove understating about the subject.
Crime genre, Scandinavian Crime, Fiction and film, Adaptation, Narrative Focus.
SOCIALIZATION EXPERIENCES OF STUDENT POLICE CADETS IN ERNAKULAM DISTRICT, KERALA
The present study examines the socialization experiences of Student Police Cadets (SPC) in Ernakulam district using a descriptive research design. The primary objective is to analyse how participation in the SPC programme influences students’ behavioural development, civic awareness, discipline, and social responsibility. Primary data were collected from 308 SPC students through a structured interview schedule, while secondary data were obtained from official reports and academic sources. A systematic sampling technique was employed to select 37 schools from a total of 74 SPC schools in the district, ensuring representation of rural–urban areas and school types. The findings reveal that the SPC programme plays a significant role in enhancing socialization among cadets. Most respondents reported positive experiences in terms of discipline, teamwork, leadership, and respect for social norms and authority. Statistical analysis indicates that variables such as gender, type of school, social category, family type, religion, parental education, and occupation do not significantly influence socialization experiences. However, area of residence and economic status show significant differences, suggesting that contextual factors shape the extent of socialization. Thus, the study highlights the effectiveness of the SPC programme in fostering responsible citizenship and positive behavioural outcomes among adolescents, thereby contributing to community-oriented policing and youth development.
Socialization, Student Police Cadet, Behavioural Development, Civic Awareness, Youth Development
A STUDY ON THE EFFECT OF ORGANIZATIONAL SUPPORT ON KNOWLEDGE SHARING, EMPLOYEE ENGAGEMENT, AND JOB SATISFACTION AMONG EMPLOYEES WITH REFERENCE TO ITI PALAKKAD
In today’s knowledge-driven and competitive business environment, organizational support, knowledge sharing, and employee engagement are critical determinants of job satisfaction and overall performance. This study investigates the effect of organizational support on knowledge sharing, employee engagement, and job satisfaction among employees at ITI Limited, Palakkad, a public sector organization engaged in electronic switching systems and critical missions like ISRO. A descriptive research design was adopted, and data were collected from 120 employees using structured questionnaires. The study analyzed socio-demographic characteristics, levels of organizational support, knowledge sharing, engagement, and job satisfaction, and examined relationships among these variables using correlation, ANOVA, and regression analysis. Findings reveal that organizational support is positively associated with knowledge sharing, employee engagement, and job satisfaction, with regression analysis confirming that organizational support, knowledge sharing, and engagement are significant predictors of job satisfaction. The study highlights the need for supportive policies, knowledge-sharing initiatives, and employee engagement strategies to enhance satisfaction and performance. These insights can guide organizations in designing interventions that foster collaboration, motivation, and organizational effectiveness.
knowledge sharing, employee engagement, job satisfaction, employees, performance, organisational effectiveness.
Ms. Nandhini Devi C , Dr. K. Thirumalaisamy
INVESTOR SENTIMENT TOWARDS FINTECH DURING GLOBAL CONFLICTS
Geopolitics problems and cross-border wars have been historically experienced in the financial markets that have caused change in behavior and perceptions of risk among various sectors by investors. The recent several years have witnessed the market to be facing sudden explosion of financial technology (FinTech) that presents some alternative dynamics in the investment decision making process, in particular during periods of uncertainty. This research is aimed at examining how investors feel about the tendency toward investing in FinTech during international conflicts and the assessment of how the existing crises affect investment preferences, maximum risk, and trust in the stock market. The research applies the mixed methodology whereby the quantitative method of analyzing market dynamics has been utilized in conjunction with the primary data that has been collected following the design of structured questionnaires, which were administered to retail and institutional investors. The intention to draw their impacts on investor sentiment credits four important variables, perceived risk, expected returns, technological trust and geopolitical awareness. The testing and the correlations of the statistical tools include the correlation and regression analysis to test the relations of Fintech investment behavior and the global conflict indicators. The findings will indicate that despite the global conflicts being more likely to increase market instability and raise risk aversion, the investments in FinTech will be less vulnerable to such factors due to their digital nature, innovation capabilities, and the possibility to help during times of crisis and access finances. However, the mood of investors is probable to shift based on financial literacy, past experience of investment and the news on geopolitics. The current body of work is a product of this research that forms an understanding of the behavioral and strategy component of the FinTech investment in the context of the geopolitical instability. The results will be of value to investors, policymakers and business managers in designing adaptive strategies of investment and enhancing the financial system stability to the unpredictable global environments.
Investor Sentiment, FinTech Investment, Global Conflicts, Geopolitical Risk, Market Volatility, Behavioral Finance
Dr. Sumant Wachasundar, Dr. Jaspal Gidwani, Dr. Mahek Iram Qureshi, Dr. Vaibhav Bhalerao, Dr. Mukesh Patil
A Hybrid CNN–YOLO Framework for Skin Disease Classification and Real-Time Lesion Detection
Skin diseases are a significant global health issue. They can be as mild as common rashes or as serious as deadly cancers like melanoma. Getting the right diagnosis quickly is key it helps save lives and lowers healthcare costs. Traditionally, doctors examine the skin with their eyes and rely on their experience, but this approach can vary from doctor to doctor, take a lot of time, and isn’t always available everywhere. Now, thanks to breakthroughs in Artificial Intelligence (AI) and especially Deep Learning (DL), computers can help doctors analyze medical images and make more accurate diagnoses automatically.In this work, we introduce a smart system for detecting skin diseases. It uses two powerful AI tools: Convolutional Neural Networks (CNN) to sort images into different disease types, and You Only Look Once (YOLO) to quickly find and highlight problem spots on the skin. We trained and tested this system with a large set of skin images called the HAM10000 dataset, which includes many kinds of skin conditions. The CNN learns to recognize unique patterns in the images, while YOLO helps pinpoint exactly where the skin problem is— and it does this in real time. Our results show that this combined approach is very accurate at classifying diseases and spotting the affected areas, making it a useful tool for doctors and healthcare workers in real-world settings.
Skin Disease Detection, Deep Learning, CNN, YOLO, HAM10000, Medical Image Processing, Artificial Intelligence.
“MARINE ANIMAL-DERIVED BIOACTIVE PEPTIDES: A COMPREHENSIVE REVIEW OF MECHANISMS IN OXIDATIVE STRESS AND HYPERGLYCEMIA MANAGEMENT”
Bioactive peptides derived from marine animals have emerged as promising therapeutic agents for managing metabolic disorders, particularly oxidative stress and hyperglycemia associated with diabetes. Specifically, this review synthesizes evidence from preclinical and in vitro studies on peptides extracted from sponges, mollusks, and fish. These peptides show multiple biological activities: they inhibit lipid peroxidation, enhance insulin sensitivity, and exert antioxidant effects by upregulating enzymes such as superoxide dismutase, catalase, and glutathione peroxidase. In experimental models induced by diabetogenic factors, peptide-treated groups show improvements compared to controls, including reduced fasting blood glucose, less oxidative damage, and preserved tissue architecture in the pancreas and liver. Furthermore, mechanistic insights reveal interactions with key pathways like Nrf2/Keap1 and AMPK, supporting their hypoglycemic and cytoprotective roles. Collectively, these findings position marine bioactive peptides as a natural alternative to synthetic antidiabetic drugs, highlighting the need for their clinical application in diabetes management.
Marine bioactive peptides; Oxidative stress; Hyperglycemia; Antioxidant activity; Experimental animals; Diabetes mellitus
IMPACT OF ONLINE CONSUMER REVIEW ON E-COMMERCE
This study investigates the significant role of online consumer reviews in shaping purchase intentions within the dynamic e-commerce landscape. Drawing on primary data collected through a structured survey of 100 Indian e-commerce users, the research examines various dimensions of review influence, including valence (positive/negative), quantity, type (written/star rating), and source (verified buyer). The findings reveal a high degree of reliance on reviews, with a significant majority of respondents agreeing that positive reviews enhance and negative reviews discourage purchase. Key insights include the strong correlation between the number of reviews and consumer trust, and the perceived superior trustworthiness of verified buyer reviews. The study concludes that online reviews act as a powerful form of electronic word-of-mouth (eWOM), serving as a critical heuristic for consumers navigating product uncertainty and complexity. These insights offer actionable implications for e-commerce platforms and retailers seeking to optimize their review management and marketing strategies.
Online Reviews, Consumer Purchase Intention, E-commerce, Electronic Word-of-Mouth (eWOM), Consumer Trust, Verified Buyer.
ADI SANSKRITI: A STUDY ON DIGITAL PRESERVATION, EDUCATION, AND ECONOMIC EMPOWERMENT OF TRIBAL CULTURE IN INDIA
The rapid expansion of digital technologies has created new opportunities for the preservation and promotion of indigenous cultural heritage. This study examines AdiSanskriti, a national-level digital initiative launched by the Ministry of Tribal Affairs, India, aimed at preserving tribal culture while supporting education and economic empowerment. Using a qualitative research approach based on secondary data, the study analyzes official reports and platform content to understand the structure, objectives, and functional components of AdiSanskriti. Content analysis is employed to identify key themes such as digital documentation of tribal heritage, transmission of indigenous knowledge, institutional governance, and livelihood generation through online market places. The findings reveal that AdiSanskriti functions as an integrated digital ecosystem combining a cultural repository, digital learning modules, and an e-commerce platform for tribal artisans. Institutional guidance by autonomous bodies and State Tribal Research Institutes ensures ethical oversight, cultural authenticity, and community participation. The study highlights the platform’s potential to enhance cultural visibility, support intergenerational knowledge transfer, and create economic opportunities for marginalized communities. The challenges related to digital literacy, infrastructure, and sustainability remain. The paper concludes that AdiSanskriti represents a promising model for digitally mediated cultural preservation and empowerment, offering insights for policymakers, cultural institutions, and researchers seeking to integrate technology with heritage conservation and inclusive development.
AdiSankristi, AdiVishwavidyalaya, AdiHaat, AdiSampada, Tribal Culture
Jothimani.B , Muruganada Jeyanthi R, Anandraj K.C .and Dr. S.Aravind
A USER STUDY AMONG THE AFFILIATED COLLEGES OF BHARATHIAR UNIVERSITY ON THE PERCEIVED EFFECTIVENESS OF STRATEGIC LIBRARY MANAGEMENT IN THE DIGITAL ERA
This study investigates the perceived effectiveness of strategic library management in the digital age, focusing on colleges associated with Bharathiar University. It talks about how academic libraries have gone from being places to store books to places where people can find digital information. It also stresses how important it is to use strategic management to make sure that the library's services are in line with the goals of the school. Good library management includes using technology, improving the digital infrastructure, putting the needs of users first, and giving staff ongoing training. The study employs both descriptive and inferential methodologies. It asks 250 students and faculty members how they feel about different parts of library management, like strategic planning, technology integration, digital infrastructure, e-resource availability, digital resource accessibility, staff competence, user training programs, service quality, user satisfaction, and how effective the library seems to be. The results show that people think the best part is using technology together, but the digital infrastructure needs to be better. People are very happy with how well the library's digital resources work. They know that the library helps kids do well in school. But to make service better, we need to look at things like how reliable the internet is and how to help staff learn new skills. The research shows that the library is good at making plans and giving good service. To stay competitive and make sure it stays useful in the long run in the digital academic world, it needs to keep spending money on staff training, technology, and infrastructure. Some ideas for improving library services and making users happier are regular performance audits, better digital infrastructure, and more programs to teach people how to use the library.
User Study, Bharathiar University, Digital Library, Library Management
AN AUTOBIOGRAPHICAL STUDY OF NIMADI BOLIBHASHA; PRESERVING INDIA’S REGIONAL LINGUISTIC HERITAGE
This research article constructs a comprehensive aatmakatha (self-narrative) of Nimadi, a Western Indo-Aryan dialect spoken along the Narmada River in Madhya Pradesh. Employing both diachronic and synchronic approaches, the study traces the linguistic evolution of Nimadi from its roots in Sauraseni Apabhramsa, through medieval pastoral and oral traditions, to its contemporary emergence as a developing literary medium. Despite its rich repository of Indigenous Knowledge Systems (IKS) and a notable literary resurgence shaped by contributors such as Padma Shri Jagdish Joshila and Shri Mahadev Prasad Chaturvedi, Nimadi is currently confronted with a “silent crisis” of endangerment, driven by rapid urbanization and entrenched linguistic hierarchies. The article foregrounds key literary milestones, including the pioneering Nimadi epic Ammar Bol, while also examining the dialect’s dynamic “confluence” with neighboring linguistic systems such as Malvi, Marathi, and Gujarati. Through an analysis of historical migration patterns and recent standardization initiatives—most notably the compilation of a 30,000-word Nimadi–Hindi Shabdkosh—the study underscores the urgency of preserving regional languages. It argues that safeguarding Nimadi is not merely a linguistic endeavor but a cultural imperative, as the dialect encodes ancestral knowledge, ecological wisdom, medicinal practices, and the collective identity of the Nimar region.
Nimadi Bolibhasha, Linguistic Heritage, Autobiographical Approach, Indigenous Knowledge Systems (IKS), Vernacular Identity, Language Endangerment, Nimar Region, Dialect Preservation
Dr. Prachi Sathe, Dr. Anisha Jain, Dr. Shalini Modh
INSTITUTIONAL ORGANIZATION OF LEARNING IN TAMIL NADU DURING THE LATER CHOLA PERIOD
The institutional organization of learning in Tamil Nadu during the later phase of the Chola dynasty reveals an advanced structure of educational patronage integrated with religious, administrative, and agrarian institutions. Epigraphic records from temples and brahmadeya settlements indicate that centres of learning were sustained through endowments of land, revenue assignments, and regulated grants administered by local assemblies such as the sabha and ur. These institutions maintained facilities for the teaching of the Vedas, Vedāṅgas, grammar, logic, and other branches of knowledge, often under the supervision of Brahman scholars. Temples functioned not merely as religious establishments but also as organized educational centres where instruction, manuscript preservation, and scholarly debate occurred within structured settings. Inscriptions from sites such as Ennayiram Vedic College and Tirumukkudal Vedic College provide detailed references to student numbers, teacher stipends, curriculum arrangements, and provisions for food, accommodation, and medical care. These records suggest that the educational framework operated through a coordinated system linking temple institutions, agrarian revenues, and local self-governing assemblies. The later Chola polity thus supported a network of scholastic institutions that sustained Brahmanical intellectual traditions while reinforcing social hierarchy and administrative order. The organization of these centres illustrates the close association between knowledge production, temple economy, and political authority in medieval Tamil society.
Later Chola period; institutional learning; temple education; Vedic colleges; brahmadeya settlements; epigraphy; Tamil Nadu; medieval South Indian education.
OPTIMIZING TRUCK SCHEDULING AND DOCK ASSIGNMENT THROUGH MIXED-INTEGER LINEAR PROGRAMMING
The study presents a Mixed-Integer Linear Programming (MILP) model designed to optimize truck scheduling, dock assignment, and inbound–outbound synchronization in logistics operations. The proposed framework integrates multiple decision variables and constraints to minimize waiting times, reduce operational bottlenecks, and enhance resource utilization at distribution centers. By formulating the problem as a MILP, the model ensures precise allocation of trucks to docks while synchronizing inbound and outbound flows to achieve efficiency in overall supply chain performance. Computational experiments demonstrate the applicability of the model in real-world scenarios, highlighting improvements in turnaround time, cost reduction, and service reliability. The research contributes to logistics optimization by offering a structured mathematical approach that balances operational efficiency with practical feasibility.
Cross-Docking, Just-in-Time (JIT), Mixed-Integer Linear Programming (MILP), Inventory Optimization, Truck Scheduling etc.
A DETERMINISTIC INVENTORY MODEL WITH QUARTIC DEMAND AND EXPONENTIALLY DISTRIBUTED DETERIORATION RATE UNDER SHORTAGES
This study formulates a deterministic inventory model for perishable items under a quartic time-dependent demand function and exponentially distributed deterioration. Complete backlogging of shortages is assumed within each replenishment cycle. The inventory dynamics are represented by differential equations over the positive stock and shortage intervals, and closed-form expressions are obtained using appropriate boundary conditions. The Total Inventory Cost (TIC) per unit time is derived and optimized through first-order optimality conditions to determine the optimal cycle length and shortage duration.Numerical experiments are conducted to verify the analytical results, and graphical analysis confirms the convexity and stability of the cost structure. Sensitivity analysis shows that demand coefficients and principal cost parameters significantly affect the optimal solution, whereas deterioration parameters exert comparatively minor influence. Two structural extensions incorporating variable holding cost and variable ordering cost further demonstrate the adaptability and robustness of the proposed framework for managing time-sensitive and deteriorating inventories.
Inventory model; Quartic demand; Exponential deterioration; Shortages; Sensitivity analysis; Total inventory cost
SYNTHESIS AND CHARACTERIZATION OF COPPER AND IRON OXIDE NANOPARTICLES ROLE FOR REMOVAL OF TETRACYCLINE ANTIBIOTIC FROM WASTEWATER
Antibiotics are biologically active chemical compounds that can be obtained from natural sources or produced synthetically. These substances are widely used to eliminate microorganisms or inhibit the growth of bacteria and fungi. It is estimated that the global consumption of antibiotics ranges between approximately 100,000 and 200,000 tons annually. However, a significant portion of these pharmaceuticals is not completely metabolized in living organisms, and the unmetabolized residues are subsequently released into the environment through various pathways. The accumulation of such antibiotic residues in water bodies and soil poses serious environmental risks, including toxic effects on aquatic organisms, potential carcinogenic impacts, and the development of antimicrobial-resistant microorganisms. In the present investigation, copper oxide (CuO) and iron oxide (FeO) nanoparticles were synthesized and applied as adsorbents for the removal of tetracycline from aqueous solutions. The experimental results revealed that both nanoparticles exhibited considerable adsorption performance toward tetracycline. The maximum adsorption capacities were determined to be 108.7 mg/g for copper oxide nanoparticles and 120.5 mg/g for iron oxide nanoparticles. Analysis of equilibrium data indicated that the adsorption behavior followed the Freundlich isotherm model, suggesting multilayer adsorption occurring on a heterogeneous surface. Kinetic studies further revealed that the adsorption process is primarily governed by chemisorption mechanisms. The removal of tetracycline is likely influenced by several interaction mechanisms, including surface complexation, electrostatic interactions, and hydrogen bonding. Thermodynamic analysis demonstrated that the adsorption process is spontaneous and thermodynamically favorable. Furthermore, both copper oxide and iron oxide nanoparticles showed good regeneration capability, retaining appreciable adsorption efficiency for up to three successive reuse cycles.
Antibiotics, copper oxide NPs, iron oxide NPs, synthesis and characterization, adorption studies.
ANTICANCER ACTIVITY OF PHYTO LIGANDS FROM CARICA PAPAYA LEAVES BY SUPPRESSION OF TUMOR PROGRESSIVE PROTEINS CD117 AND CYCLIN D1 - AN INSILICO APPROACH
The Herbal derived compounds possess several medicinal properties including anticancer activities. In the present investigation molecular docking analysis was performed to identify a suitable antagonistic ligand from the phyto ligands of Carica papaya leaves which can inhibit the tumor progressive proteins CD117, Cyclin D1. The molecular Docking analysis was performed using Autodock 4.2. The protein CD117, Cyclin D1 structures were retrieved from PDB, and by GC-MS analysis the phyto molecules were identified. The ligand chemical structures were drawn using Chem sketch. The enzyme and ligand interaction were obtained as docking score using the Arguslabs server. Based on the docking score the best ligand was selected from the phyto constituents of Carica papaya ethanolic leaf extract and their inhibitory potential was analyzed in terms of their interactions with the amino acid residues present in the active site which were visualized and further confirmed by PYMOL. The standard drug Doxorubicin was also subjected to docking for comparison in the present study. Based on the docking score the phytochemicals namely Hexadecanoic acid, ethyl ester, Coumarine 3-(2,4-dinitrophenol), Androst-4-en-3-one,17-methoxy, 3-methoxime serves as the best antagonistic ligand in terms of their interaction with amino acids as well as inhibition of the particular tumour progressive proteins.
Ethanolic extract, Phyto ligands, Carica papaya, Doxorubicin, Ovarian cancer, Insilico
Priyadurairaj, Sandhya A, PalagatiRohithkumarreddy
ANALYZING THE ROLE OF ETANERCEPT IN FLS CELL LINE IN TREATMENT OF RHEUMATOID ARTHRITIS
Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by persistent joint inflammation, leading to pain, swelling, and progressive joint damage. Current treatment options, including nonsteroidal anti-inflammatory drugs (NSAIDs), corticosteroids, and biologics, often present side effects and high costs, necessitating the exploration of alternative therapies. Drynaria quercifolia, a medicinal fern known for its anti-inflammatory and antioxidant properties, has shown potential in alleviating symptoms associated with RA. This study investigates the bioactive compounds of Drynaria quercifolia and their therapeutic efficacy in modulating inflammatory pathways involved in RA. Phytochemical analysis and in vitro assays were conducted to assess its anti-inflammatory activity, followed by in vivo studies to evaluate its effectiveness in an RA-induced FLS (Fibroblast-Like Synoviocytes) cell line. Preliminary findings suggest that extracts of Drynaria quercifolia exhibit significant inhibition of pro-inflammatory cytokines and oxidative stress markers, indicating its potential as a natural therapeutic agent for RA. Further research is warranted to elucidate its mechanism of action and validate its clinical applicability.
Rheumatoid Arthritis, Joint Inflammation, Drynaria quercifolia, Natural Therapeutic Agent.
Sandhya A, Priyadurairaj, Shravan Kumar Rao, Nilofer U, Ramya H
A STUDY ON ARTIFICIAL INTELLIGENCE APPLICATIONS AND THEIR ROLE IN EMPOWERING THE VISUALLY IMPAIRED IN THE NETWORK SOCIETY
The impact of technology and the internet on social structure is immeasurable. In the 20th century, the emergence of a globalized digital environment reflects the idea of the Marshall McLuhan’s Global Village. McLuhan argued that “We shape our tools and thereafter our tools shape us.” This idea is further echoed by Manuel Castells, who states that technology does not determine society; rather, society shapes technology according to the needs, values, and interests of the people who use it. Digital platforms have significantly reduced barriers of inequality by bringing people from different economic backgrounds and those with disabilities into the information superhighway, thereby improving their quality of life. Technology has particularly played an important role in empowering the visually challenged by enabling them to participate in mainstream social activities. The digital world allows them to function more independently and interact with other segments of society on equal terms. Moreover, technology provides opportunities for recognition, self-expression, and social connection through networks that help maintain emotional relationships with others. In a networked society, visually challenged individuals are able to connect through social media platforms such as Facebook, Instagram, Twitter, and YouTube for purposes including socialization, recognition, entertainment, information sharing, and status building. Their interaction with digital technologies is facilitated through assistive tools such as screen readers and AI-based applications, which make communication easier, faster, and more convenient. This study adopts a mixed-method approach to examine how networking tools influence the identity, individuality, and aspirations of visually challenged individuals within the network society.
Visually Challenged, Facebook, AI applications, Network society
Dr. Naneetha R , Dr. Monisha M, Ashok Paul Rajan K, Dr. S. Rachel
A GEOSPATIAL STUDY OF THE CHANGES IN LAND USE AND FORECASTING IN COIMBATORE CITY USING QGIS
The most talked-about topic in the world has always been urbanization because of its complexity and the fact that it is a continuously changing global phenomena. Understanding the LU/LC change in the urban landscape is essential to comprehending the current state of the city and the dynamics of the earth's surface change. This study's objectives are to show and explain how LULC trends varied between 2011 and 2021and to forecast future LULC mapfor 2030.The open-source plugin MOLUSCE (Modules for Land Use Change Simulations) version 3.0.13 was utilized to forecast the future plight of urbanisation of Coimbatore city. According to the predicted model by using, the geospatial tools, the land under urban area will substantially rise from 128.29 sq kms in 2021 to 151.47 sq kms in 2030. In contrast, the area under water bodies, vegetation, and agriculture is showing a decline trend. Urban growth dynamics and spatial patterns of urban expansion is a very relevant study to equip, both the policy makers and stake holders.To carve out a sustainable city by all means, with all the necessities, this article can be considered by urban planners and developers, local governments, and non-governmental organizations, public and private enterprises, and certain social well-wishers, in their attempts to create more sustainable urban environments in the city.
Urbanisation, LULC, MOLUSCE, and Sustainable
MOBILITY AND HEALTH CHALLENGES IN OLDER ADULTS
The study examines mobility and health challenges among older adults in Kaduthuruthy Grama Panchayat, Kottayam District, Kerala, using a qualitative case study approach. Ten participants, aged 60 and above, were purposively selected from different wards, with in-depth interviews and observations conducted, spending one to two hours with each respondent. Findings revealed that chronic illnesses, multimorbidity, limited mobility, unsafe home environments, and social isolation substantially affect independence and quality of life. The study highlights the importance of routine functional screening, home modifications, accessible transport, social engagement, and integrated multi-domain interventions. Evidence underscores the need for locally adapted, community-based strategies involving government, civil society, and neighborhood initiatives to enhance health, mobility, and well-being, ensuring safe and dignified ageing in rural Kerala.
Mobility limitations, Older adults, Rural ageing, Health challenges, Community interventions
WIDOWHOOD, GENDER, AND WORK: A CAPABILITY-BASED ANALYSIS OF LABOUR MARKET BARRIERS AMONG YOUNG WIDOWS IN TAMIL NADU
Young widowhood in India represents a critical intersection of gender, age, and economic vulnerability. While labour market participation is often considered a pathway to economic recovery, conventional indicators such as employment status and income inadequately capture the lived constraints faced by young widows. Drawing on the Capability Approach, this study examines how labour market conditions shape the work-related capabilities of young widows in Tamil Nadu. Using a quantitative cross-sectional survey of 360 young widows aged 18–40 years across selected districts, the study constructs a Work-Related Capability Index (WRCI) to assess substantive freedoms related to employment choice, income security, job stability, and work–life balance. The findings reveal that employment in the informal sector, wage insecurity, limited access to social protection, and entrenched gender norms significantly constrain young widows’ capabilities, even when they are economically active. The study argues that labour market inclusion alone is insufficient; policy interventions must focus on expanding capabilities to enable dignified and sustainable livelihoods for young widows.
Young widows, labour market, capability approach, gender, informal work
Mr. K. Boopathi Raja, Dr. P. Christuraj & Dr. P.K. Muthukumar
A SECURE SOFTWARE DEFINED NETWORKING BASED FRAMEWORK FOR IOT NETWORKS
The entities of the world are simulated and connected with the help of IoT (Internet of Things) devices. A large amount of data needs to be stored and retrieved securely, but the IoT devices have a small amount of mem- ory and computation time. Hence, a storage area with a large amount of secured storage space is needed. Software-defined Networking (SDN) is an emerging network technology which implements a new paradigm of insecure applications and IoT services. To build a heterogeneous secure network, we introduce SDN controller broadcast encryption using the Open Network Op- erating System integrated with network switches and SDN Controllers. In this paper, we propose a secured data sharing system in IoT devices in which they are connected to an SDN controller and data from the IoT device is encrypted. Only the corresponding authorized switch receives the data and knows the exact key to decrypt the ciphertext. Hence, the data is stored and retrieved securely. In our system, we use Wheatstone algorithm to encrypt the data from the IoT devices. The algorithm helps to avoid botnet attacks and other types of attacks on the data. The proposed system establishes new forwarding paths through controller and communicates with authorized switches for secure data transmissions. We analyzed the performance of our proposed algorithm using OMNeT++ and confirmed that the algorithm is efficient and secure. This extends the security features of IoT applications.
SDN, IoT network, authentication, Wheatstone algorithm
RETRIEVAL AUGMENTED GENERATION (RAG) BASED FRAMEWORK FOR REAL-TIME HUMAN ACTIVITY RECOGNITION (RHAR) IN DISASTER ZONES
This research work introduces a lightweight, real-time human activity recognition system designed for disaster response applications and optimized for edge computing environments. Inspired by Retrieval Augmented Generation (RAG), the system employs a rule-based, interpretable approach instead of traditional machine learning models. Human poses are encoded as binary feature vectors based on geometric features including elbow and knee angles, hand height, symmetry ratio and sitting ratio computed from 33 key body landmarks. These vectors are compared to a pre-collected, labeled dataset using Hamming distance to classify actions such as standing, sitting, waving, hands up, and lying down. Majority vote smoothing is applied to reduce noise and enhance prediction stability. Designed to run efficiently on edge devices such as Unmanned Aerial Vehicles (UAV) or embedded processors, the system enables fast, transparent decision-making directly at the source of data capture without relying on cloud connectivity. Tests using a standard webcam under drone-simulated conditions showed reliable recognition of most actions, with occasional challenges in detecting lying-down poses. The solution is ideal for low-resource, latency-sensitive disaster response operations where edge computing is critical.
Human Activity Recognition, Disaster management, Retrieval-Augmented Generation (RAG), edge computing
D. Suresh Kumar, Dr. M Y. Mohamed Parvees
AI-DRIVEN SENSITIVITY-AWARE HYBRID CRYPTOGRAPHY FOR SECURE MEDICAL IMAGE TRANSMISSION
Reliable and efficient medical image transmission is a demanding issue in smart healthcare systems. The existing cryptographic methods employ equal-strength encryption, tending to incur unreasonably high computational overhead for low-risk data or providing deficient protection for highly sensitive data. To overcome this shortfall, we introduce an AI-based sensitivity-aware hybrid cryptographic system capable of adaptively choosing encryption strength depending on medical image sensitivity levels. Lightweight neural classifier, which uses handcrafted statistical features and deep representations, is developed to assess image sensitivity through the analysis of entropy, texture complexity, and structural information. In accordance with the estimated sensitivity, three encryption approaches are utilized: AES-128 for low sensitivity, AES-256 and Elliptic Curve Cryptography (ECC) for medium sensitivity, and AES-256 and Learning With Errors (LWE) for sensitive images. The model was verified on various medical image modalities such as Diabetic Retinopathy (DR) images, Brain Tumor MRI images, and Dermoscopic skin cancer images datasets. Experimental outcomes indicate that the developed model provides robust performance under various NPCR, UACI, entropy, PSNR, and SSIM measures, maintaining both high security and fidelity of image quality. In contrast to traditional fixed-strength cryptographic techniques, our adaptive method showcases notable gains in computational performance, conserving encryption time with uncompromised confidentiality for sensitive data. These results underscore the promise of sensitivity-aware hybrid cryptography to improve secure medical image transmission, providing a scalable and smart solution for contemporary healthcare networks.
Medical Image Security, Sensitivity-Aware Encryption, Hybrid Cryptography, Adaptive Encryption Framework, Healthcare Data Transmission, Elliptic Curve Cryptography, and Learning With Errors
S. Kasinathan, C. Ananth* and N. Mohananthini