Volume 14 | Issue 7

 Abstract

The recruitment and placement process in educational organizations most of the times are separated, slow, and they don't have standard methods for evaluating candidates. Students, colleges, and employers each work from their own separate platforms, and this causes a lack of coordination, less opportunities for interview practice, and different methods of assessing candidates. In order to solve these problems, this article suggests an AI-based integrated platform that brings all the parties together into one single system characterization. Artificial intelligence is used by the system so that it can simulate the interviews in real-time and also carry out automatic evaluation of the candidate based on their technical knowledge, communication skills, and confidence.It is developed with an expandable MERN-P architecture, which includes React. js for the frontend, FastAPI for the backend asynchronous processing, MongoDB for the data storage with high flexibility, and Supabase for the authentication and management of structured data. The platform has separate portals for the different categories of users like students, companies, and even administrators which allow them to interact with each other without any hindrance, manage the data in a centralized manner and keep track of the performance.Automated feedback and analytics are two of the great tools that can be used to boost student preparedness as well as the decision-making process. The solution put forward by this paper is one that will indeed bring in the factor of rise in productivity, giving room for growth and ensuring that the evaluation is carried out from the standpoint of fairness, thereby making this system the right fit for the contemporary recruitment.

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Artificial Intelligence, Recruitment System, Mock Interview FastAPI MERN Stack NLP,Real-Time,Systems,StudentPortal,Placement System.

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Information and communication technology (ICT)has emerged as a key reshaping indian agriculture by enhancing farmers access to information markets and improved farming practices

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Information and communication technology (ICT) digital agriculture crop productivity market access agricultural development

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The US-Iran conflict, particularly the 2026 Hormuz War and its aftermath, has presented one of the most significant foreign policy tests for India in the post-Cold War era. This paper critically examines India's diplomatic position toward the US-Iran conflict, analyzing the tension between New Delhi's professed commitment to strategic autonomy and its growing alignment with the United States and Israel. Through a qualitative analysis of official statements, diplomatic actions, scholarly literature, and policy reports, this research argues that India's response to the conflict reveals a fundamental contradiction: while publicly maintaining a discourse of multi-alignment and strategic autonomy, India's actual diplomatic posture has demonstrated a discernible tilt toward the US-Israel axis, with significant costs for its credibility, regional influence, and long-term strategic interests. The paper develops a conceptual framework--the Strategic Autonomy-Actual Alignment Paradox--to explain this disconnect and assesses its implications for India's foreign policy in an increasingly polarized world order.

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India, strategic autonomy, multi-alignment, US-Iran conflict, West Asia diplomacy, foreign policy

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Abstract Euthanasia -the deliberate ending of a person's life to relieve suffering -remains one of the most doctrinally unsettled areas of Indian constitutional law. In the continued absence of dedicated legislation, the contours of the right to die have been shaped almost entirely through a sequence of Supreme Court decisions stretching from P. Rathinam v. Union of India in 1994 to Harish Rana v. Union of India in 2026. This paper traces that judicial trajectory, examines the constitutional reasoning underlying the recognition of passive euthanasia and the living will, and evaluates the procedural reforms introduced by the 2023 modification of the Common Cause guidelines. It argues that Indian judicial trends reveal a cautious, incremental expansion of the right to die with dignity, marked by a persistent unwillingness to permit active euthanasia and a growing recognition that excessive procedural safeguards can themselves defeat the very dignity interest that Article 21 protects.

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EUTHANASIA, JUDICIAL TRENDS, PROCEDURAL ,SAFEGUARS

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Abstract Women Excise Officers in Kerala play a crucial role in enforcing excise laws, preventing illicit liquor trade, conducting inspections, and ensuring public safety. However, the demanding nature of their profession exposes them to various forms of occupational stress. Long working hours, field duties, workplace discrimination, safety concerns, work-life imbalance, and societal expectations significantly affect their physical and psychological well-being. Despite the growing participation of women in the Excise Department, limited research has focused on the stress factors affecting them and the effectiveness of existing stress management practices. This study aims to identify the major stressors experienced by women excise officers in Kerala and evaluate the effectiveness of current stress management strategies. The findings indicate that occupational stress arises from role conflict, exposure to risky field operations, organizational challenges, and inadequate institutional support. The study highlights the importance of developing gender-sensitive stress management programs, strengthening organizational support systems, and promoting employee well-being. The findings are expected to assist policymakers and department administrators in creating a more supportive and inclusive work environment that enhances both employee welfare and organizational effectiveness.

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Keywords: Stress Management, Women Excise Officers, Occupational Stress, Work-Life Balance, Kerala Excise Department

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This paper examines reasons behind the failure of justice and police sector reform in Afghanistan in the decade of 2001-2021 which did not manage to set up strong independent judiciary and law enforcement systems. The findings show that from the outset donor countries allocated resources to the military sector to the detriment of the justice and police sectors, resulting in chronic underfunding, weak infrastructure and untrained personnel. With rising insecurity, the police became more and more militarized, pulling them away from their core mandate of policing. Reforms to professionalize the force post-2013 were undercut by declining aid and deteriorating security. Continued corruption, a lack of coordination between donors, the capture of justice institutions by warlords and poor coordination between agencies further undermined public confidence and pushed Afghans into traditional dispute resolution mechanisms and, in contested areas, Taliban shadow courts.

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Afghanistan, justice sector reform, rule of law, corruption, Taliban shadow courts.

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In the current digital era, the grocery business has transformed significantly due to the growth and increased popularity of online grocery purchases. The market for online groceries has grown significantly in recent years due to the rapid shifting of consumer habits and a growing need for convenience while shopping. The grocery retail industry has seen tremendous change due to the growth of digital platforms, especially after COVID, and the customers now frequently choose to purchase groceries online. This study emphasizes advertising expenditures as the variable that is independent and the total earnings, revenue, and total expenses as the dependent variables. This study examines how digital marketing affects the financial success of a few chosen online grocery platforms. The study examines data from three well-known e-grocery platforms--Big Basket, Blinkit, and Swiggy Instamart -- over a six-year span from 2018 to 2023 using a one-way ANOVA approach including introductory approach towards post - hoc analysis. These platforms were chosen using a purposive sampling technique in the light of their market dominance and dependence on digital marketing tactics. According to the results, there is a statistically significant connection between expenditures on advertising and financial results, with changes in advertising expenditures resulting in appreciable fluctuations in overall revenue, sales, and expenses. The findings emphasize, how important digital marketing expenditures are to e-commerce platforms' financial performance and the necessity of smart budget allocation to optimize the profits. This study adds to the expanding compilation of research on the efficacy of marketing through digital channels in the field of online retail industry.

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Advertising Expenses, Digital Marketing, Financial Indicators, Financial Metrics, E-grocery Platforms

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Now a days mental health disorders are a major problem. Anxiety, depression, bipolar illness, long-term stress, and various personality disorders are common conditions. Due to non availability and less access to physicians and other medical specialists, many issues go undetected. This method automatically determines whether a person is suffering from mental health issue is proposed in this research. To examine what people write and attempt to comprehend their behaviour, we employ a technique known as Support Vector Machines. The technique known as Term Frequency-Inverse Document Frequency to quantify what people write. I also employ a list of words that are related to emotions to obtain a better grasp of what individuals are writing. I used a corpus of texts from people to test our system. 52,680 writings were present. Iam able to identify the type of behaviour they represented because they were all labelled and attempted numerous approaches of training our system to acquire the best results. The suggested approach performed well in classification across all behaviour categories. Compared to the systems used in this purpose, this is superior. Addition to that this tool that can be used to assess individuals mental health issues instantly. Support Vector Machines is one tool for this and the outcome is satisfactory. The persons who are suffering from mental health issues will be benefitted from this system.

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Psychological Behaviour Classification, Support Vector Machine, TF-IDF, NRC Emotion Lexicon, Hybrid Feature Fusion, Mental Health NLP, Multi-Class Classification, Affective Computing.

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Abstract: Introduction: Persons with Lower Limb Cellulitis and chronic oedema experience a broad range of physical impairments such as heaviness of the limb, weakness and pain, in addition to difficulties with walking standing and bending. It has affected their social functioning and their ability to participate in recreational activities. Prolonged oedema has significant emotional, social and personal consequences for persons' quality of Living. Multiple recurrence occurrences reduce an individual's wellbeing, which can have a negative wallop on the disease's progression. Present study assessed the quality of life of individuals with recurrent Lower limb cellulitis. Methodology: A qualitative study employing an explanatory sequential design was conducted among 10 patients with recurrent lower limb cellulitis using criterion sampling. In-depth, semi-structured interviews were conducted using an interview guide developed from a 10-item quality-of-life questionnaire. The interview data were analyzed using thematic analysis, from which key themes and subthemes emerged from the participants' narratives. Ethical approval for the study was obtained from the Institutional Review Board, and written informed consent was obtained from all participants prior to data collection. Result: The thematic analysis demonstrates that recurrent lower limb cellulitis adversely affects all major domains of quality of life--physical, functional, social, and psychological. Pain, impaired physical functioning, self-care limitations, reduced social participation, and emotional distress were consistently identified as the predominant experiences of the participants. Conclusion: The study emphasizes the importance of understanding patients' lived experiences to deliver holistic nursing care. Findings underline the need for future research to tailor health education, emotional support, and collaborative community engagement Key words: Recurrent Cellulitis, Quality of Life, Lower Limb,

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Key words: Recurrent Cellulitis, Quality of Life, Lower Limb,

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CNS

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

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

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

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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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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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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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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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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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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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Background: Vaya is a fundamental Ayurvedic concept describing the sequential stages of human life based on growth, maturation, and ageing. This review examines these classical descriptions in the light of contemporary anatomical and developmental science. Objective: To correlate the Ayurvedic classification of Vaya with modern age classification and interpret its anatomical significance across the human lifespan. This review analyzes the classical descriptions of Garbhavastha, Bala Vaya, Madhyama Vaya, and Vruddha Vaya and compares them with current concepts of prenatal development, childhood, adulthood, and ageing. The study demonstrates that Ayurvedic features such as Dhatu maturation, Kapha, Pitta, and Vata predominance, and progressive changes in strength and tissue integrity closely correspond with modern anatomical, physiological, and developmental processes. Despite minor variations in age limits among different Acharyas, the functional characteristics of each stage show remarkable agreement with contemporary scientific knowledge. Integrating Ayurvedic principles with modern anatomy provides a comprehensive understanding of human growth, development, maturation, and senescence, highlighting the enduring scientific relevance of the concept of Vaya.

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Keywords: Vaya, Garbhavastha, Bala Vaya, Madhyama Vaya, Vruddha Vaya Human Growth and Development

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