Volume 14 | Issue 7 |

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Creative Commons Attribution 4.0 and The Open Definition

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CNS

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Creative Commons Attribution 4.0 and The Open Definition

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The study presents a conceptual analysis of the significance of Massive Open Online Courses in promoting the goals of the National Education Policy of 2020 (NEP 2020) in India. These goals include equitable access, flexibility, multidisciplinary education, skills, and lifelong education, all of which align well with MOOCs and India's national MOOC portal, SWAYAM. The paper analyses the use of MOOCs to increase access to higher education by reducing geographic, social, and economic barriers for students, as well as allowing them to choose different courses and obtain credits flexibly. The paper also discusses the role of MOOCs in the academic bank of credits, teacher training, and teachers' continuous professional development. In addition to the above factors, the paper highlights implementation issues, including the digital divide, learner motivation, assessment issues, course quality, and a lack of awareness among stakeholders. Based on the literature review conducted in this paper, recommendations have been put forward to support the successful implementation of MOOCs, including strengthening digital infrastructure, capacity building for teachers, course design, and credit recognition mechanisms for learners from underprivileged backgrounds.

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Creative Commons Attribution 4.0 and The Open Definition

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Massive Open Online Courses, NEP 2020, SWAYAM, Digital Education, Lifelong Learning

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Creative Commons Attribution 4.0 and The Open Definition

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The quick adoption of digital tools in classrooms has sparked a lot of curiosity in how technology is changing education. This study looks at how technology might improve teaching and learning results in secondary schools in Cuttack, Odisha. Twenty secondary school teachers and sixty students from public and private institutions were given structured survey questionnaires and semi-structured interviews as part of a qualitative study design. To find trends in technology use, student involvement, perceived academic performance, access and equity, and integration hurdles, data were thematically analysed. Results show that interactive digital tools and multimedia significantly improve student engagement and facilitate differentiated, self-paced learning, especially in science and math. However, ongoing obstacles that disproportionately harmed pupils attending government schools were infrastructure limitations, unequal access to devices and connectivity, inadequate teacher preparation, and student distraction. The study comes to the conclusion that technology works best when used in conjunction with traditional teaching rather than in its place and that its advantages depend on sufficient infrastructure, ongoing professional development for teachers, and support from equity-focused legislation. Future research directions and implications for educators, curriculum designers, and legislators are considered.

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Creative Commons Attribution 4.0 and The Open Definition

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educational technology; teaching-learning outcomes; digital divide; secondary education; technology integration

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Creative Commons Attribution 4.0 and The Open Definition

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The rapid growth of e-commerce has transformed consumer buying behaviour in the online textile retail sector. This study examines the impact of Fear of Missing Out (FOMO) on consumers' purchasing behaviour in online textile retail. A descriptive and analytical research design was adopted, and primary data were collected from 105 respondents using a structured questionnaire. The data were analysed using percentage analysis, mean score analysis, Pearson correlation, regression analysis, and Cronbach's Alpha reliability test. The findings reveal that social media influence (Mean = 3.63), promotional discounts (Mean = 3.38), and trending fashion campaigns (Mean = 3.29) significantly contribute to FOMO, thereby influencing purchase intention and impulsive buying behaviour. The study further reports a positive correlation (r = 0.68) between FOMO and online buying behaviour, while regression analysis (? = 0.72) confirms that FOMO significantly predicts purchase behaviour. The reliability coefficient (Cronbach's Alpha = 0.925) indicates excellent internal consistency. The findings provide useful implications for online retailers and contribute to the growing literature on digital consumer behaviour in the Indian textile retail sector.

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Creative Commons Attribution 4.0 and The Open Definition

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Fear of Missing Out (FOMO), Online Textile Retail, Consumer Buying Behaviour, Impulse Buying, Digital Marketing, Social Media Marketing, E-commerce

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Creative Commons Attribution 4.0 and The Open Definition

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The present study was carried out to formulate and evaluate a herbal mouthwash using natural ingredients for maintaining oral hygiene and preventing oral infections. Oral hygiene plays an important role in maintaining overall health, and poor oral care may lead to plaque formation, bad breath, gum inflammation, dental caries, and periodontal diseases. Conventional mouthwashes generally contain alcohol and synthetic chemicals, which may cause side effects such as burning sensation, dry mouth, tooth staining, and mucosal irritation after prolonged use. Therefore, there is a growing demand for safer and natural alternatives in oral care products.

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Creative Commons Attribution 4.0 and The Open Definition

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Herbal Mouthwash, Oral Hygiene, Tulsi (Ocimum sanctum), Liquorice (Glycyrrhiza glabra), Cinnamon Oil, Peppermint Oil, Antimicrobial Activity

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This paper explores the fragmented self of Clarissa Dalloway in Virginia Woolf's Mrs Dalloway from a psychological perspective. Clarissa appears confident and socially successful, yet her inner thoughts reveal loneliness, doubt, and emotional conflict. The study examines how her memories, personal choices, and social responsibilities influence the way she understands herself. Woolf's stream-of-consciousness style allows readers to follow Clarissa's thoughts as they move between the present and the past, showing that identity is shaped by both experience and memory. The paper also considers how the expectations placed on women affect Clarissa's sense of self and create a gap between her public image and private feelings. Rather than presenting her as a weak or troubled character, Woolf portrays Clarissa as someone trying to find meaning in everyday life while carrying the weight of her past. The study shows that her divided sense of self reflects the emotional struggles of modern human life.

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Virginia Woolf, Mrs Dalloway, Clarissa Dalloway, Fragmented Self, Psychology, Identity, Memory, Modernism, Selfhood

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Creative Commons Attribution 4.0 and The Open Definition

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Modern criminal intelligence systems are heavily constrained by data silos and the structural fragmentation of heterogeneous records. Law enforcement operations generate vast streams of unstructured text narratives (e.g., field interrogations, witness accounts, surveillance summaries) alongside complex, highly connected relational data (e.g., asset ownership trails, deep familial lineages, judicial histories, vital status records, and hidden organizational backing matrices). Relational Database Management Systems (RDBMS) suffer from exponential performance degradation when calculating deep multi-hop network joins (>3 hops), while standalone Dense Vector Retrieval or Approximate Nearest Neighbor (ANN) vector spaces fail to capture explainable topological context, treating linked entities as isolated points. This paper introduces a highly scalable, single-system hybrid framework deployed entirely within an enterprise distributed property graph architecture (Nebula Graph). By embedding high-dimensional semantic vector properties directly into graph vertices and utilizing an inline, hardware-accelerated Cosine Similarity index, our framework eliminates the data synchronization latency, consistency overhead, and operational complexity inherent in decoupled multi-database pipelines. A Native Unified Vector-Relational Graph Intelligence Framework for Criminal Link Analysis and Explainable Evidence Board Generation. Furthermore, formalize the exact mathematical derivations for a unified multi-factor ranking equation balancing text semantic vector similarity, graph connectivity metrics, geographic alignment constants, and historical crime sentencing density. Finally, provide production-grade, executable nGQL (Nebula Graph Query Language) expressions and Python execution modules that deliver query-focused, explainable visual evidence boards. The empirical design framework demonstrates substantial capability improvements over standalone architectures, satisfying the strict requirements for modern digital forensics and court-admissible chain-of-custody tracking.

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Creative Commons Attribution 4.0 and The Open Definition

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Criminal Intelligence, Knowledge Graphs, Nebula Graph, Cosine Similarity, Dense Vector Embeddings, Link Analysis, Forensic Evidence Board, Graph RAG

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Artificial Intelligence is Rapidly growing Technology in Healthcare sector. ICU patient supervision is a complex process that needs to be finished right away. Usually, threshold-based techniques and labour-intensive manual labour are used to achieve this, which can add to the workload of physicians and delay the identification of patients' risks. The autonomous ICU patient monitoring system based on agentic AI aims to enhance patient surveillance and risk assessment. The multi-agent system architecture that has been suggested is based on the Crew AI Framework. Monitoring, risk prediction, warning generation, and recommendation are some of these agents. These agents are all work Together to handle patient data and analyze the vital signs, predict the mortality risks and generate prioritized clinical alerts.ML models, such as XG Boost and the Random Forest classifier, trained on a dataset comprising 15,000 records were used to predict the patient's risk levels. Based on the findings, it is possible to classify the patient's condition as either normal, warning or risk.

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Creative Commons Attribution 4.0 and The Open Definition

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Agentic AI, Multi-Agent System, ICU Monitoring, Crew AI, XGBoost, Random Forest, Clinical Decision Support.

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Background: Academic achievement is one of the important indicators of students' educational success and is related to a number of personal, social and environmental factors. These comprise the home environment which is one of the most important factors in the cognitive, emotional and academic development of students, which offers learning resources, parental guidance and a conducive learning environment. Although it is recognized as one of the area of importance, the empirical research regarding the relationship between home environment and achievement of students of higher secondary education in Tiruvallur District is still very limited. Purpose: The present study set to examine the relationship between home environment and academic achievement of the higher secondary students in Tiruvallur District and to find out the difference between the home environment and academic achievement with respect to selected demographic variables. Methodology: The normative survey design was used. The number of higher secondary students selected is 240 students from higher secondary Schools using simple random sampling method in Tiruvallur District, Tamilnadu. The standardized Home Environment Scale was used to gather data and academic achievement was assessed through students' score on the half-yearly examination. Descriptive statistics, t-tests, were used for the data collected analysis. Results: The findings indicated that there was no significant difference between gender and locality in all the measures of home environment and academic achievement. But there was a significant difference with regard to the medium of instruction. The study concludes that the positive home environment contributes to promoting students' academic achievement to a considerable extent.

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Home Environment, Academic Achievement, Higher Secondary Students, Family Environment, Educational Psychology and Student Performance.

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Creative Commons Attribution 4.0 and The Open Definition

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Monkeypox is a worrisome new epidemic. The disease is caused by the monkeypox virus and is becoming more common worldwide, with an outbreak in 2022 spreading to Europe as part of the COVID -19 pandemic. The new outbreak is associated with new, previously undetected mutations and variants. In this study, virtual screening and molecular dynamics of secondary metabolites of Psidium guajava (guava) were used. Several compounds were predicted to bind tightly to viral proteins critical for viral replication, including molecules with high potential to bind thymidylate kinase and cysteine protease proteins, whose inhibition has been shown to suppress viral replication.

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By molecular docking, the compounds kampferol, myricetin, chlorogenic acid, and quercetin were found to have considerable binding to these two receptors.

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Creative Commons Attribution 4.0 and The Open Definition