Volume 13 | Issue 9 |

 Abstract

Migration is more than the physical act of moving from one place to another; it often represents a profound transformation of identity, selfhood, and belonging. For women, this experience is deeply gendered--shaped by patriarchal expectations, socio-cultural constraints, and the psychological toll of uprooting. Across time and geography, female migrants have had to navigate the double bind of displacement and gender oppression, where the promise of freedom or survival often comes at the cost of emotional and bodily autonomy. In literature, the female migrant's story is frequently a narrative of rupture, resilience, and reinvention. This is particularly evident in Amrita Pritam's Pinjar, Bharati Mukherjee's Jasmine, and Angie Cruz's Dominicana--three novels that portray women at the intersection of migration, violence, and identity. These protagonists do not simply move across borders; they are shaped, broken, and remade by them. Their journeys highlight how migration can be both a trauma and a site of potential empowerment, revealing the complex interplay between personal agency and historical force.

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Contextualize Migration and its Impact on Female Protagonists - A Legal Perspective

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The success of pharmaceutical distribution channels in South India is investigated in this study in relation to distributor efficacy, cultural alignment, and trust. The study finds important relationship drivers that lead to better distributor performance using primary data from 103 respondents and statistical methods including multiple linear regression and exploratory factor analysis. According to the research, distributor effectiveness is greatly increased by trust and cultural fit, which has a favorable impact on outcomes like customer happiness, sales growth, and strategic fit. These observations highlight the necessity for pharmaceutical companies to give relational and cultural compatibility equal weight with pricing and logistics plans.

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Pharmaceutical supply chain, distributor effectiveness, trust, cultural alignment, supply chain performance, factor analysis, South India

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Recruitment is often considered the foundation of organizational success, as the quality of employees directly influences productivity, innovation, and long-term sustainability. However, the process of identifying, attracting, and retaining the right candidates has historically been challenging for organizations across sectors. Common problems such as extended hiring timelines, high recruitment costs, limited visibility into candidate quality, and difficulty in predicting long-term retention have created inefficiencies. In recent years, the rapid growth of digital tools and data-driven decision-making has introduced new opportunities to reimagine recruitment. Among these, Human Resource (HR) analytics has emerged as a powerful approach that combines data, technology, and predictive modeling to enhance every stage of the hiring cycle. The present study investigates the role of HR analytics in recruitment by combining primary survey data and secondary case study evidence. A survey was conducted with 45 HR professionals from diverse organizations, focusing on recruitment methods, adoption of analytics, challenges encountered, and perceived benefits. The data was analyzed and visualized using Power BI, enabling a clear interpretation of trends and patterns. In parallel, secondary case studies from global leaders such as Unilever, Google, and IBM were examined to understand practical applications of HR analytics in recruitment and talent management. Findings suggest that while job portals and traditional methods remain important, HR analytics tools are increasingly being used for resume screening, candidate assessments, and predictive retention analysis. The majority of organizations reported improvements in hiring quality, efficiency, and fairness, though limitations such as high costs, lack of skilled analysts, and data privacy concerns remain barriers. This study concludes that HR analytics is not merely a supporting tool but a strategic enabler of modern recruitment. By integrating analytics with human judgment, organizations can build recruitment processes that are faster, more objective, and better aligned with long-term organizational goals.

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HR Analytics, Recruitment, Predictive Hiring, Talent Acquisition, Data-Driven HR

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Abstract Background: Rheumatoid arthritis (RA) is a long-lasting inflammatory condition that profoundly affects the health-related quality of life (HRQoL) for those who suffer from it. Given the disease's impact on physical, emotional, and social aspects of well-being, understanding the factors influencing HRQoL and the global diversity in these factors is essential for enhancing patient care (1, 4, 6, 10, 14). Objective: The goal of this systematic review is to assess the existing literature regarding HRQoL in individuals with RA, focusing on associated factors and regional disparities to develop more effective, patient-focused strategies (1, 5, 7, 13, 19). Methods: A thorough examination of 13 studies conducted in various countries--including Morocco, Egypt, Nepal, China, India, Poland, Indonesia, among others--was carried out (1-8, 10, 13, 14, 19). These studies employed cross-sectional, observational, and preliminary designs to evaluate HRQoL using validated instruments (e.g., SF-36, WHOQOL-BREF, HAQ-DI) and explored connections with disease activity, functional status, sociodemographic factors, and treatment approaches (4, 6, 7, 14, 15). Results: Most studies indicated a notable decline in HRQoL among RA patients (1, 4, 5, 6, 10). Influential factors included disease duration and activity (4, 6, 11), gender (13), employment status (2, 3), healthcare access (5, 8, 18), and mental health (12). Women, patients with elevated disease activity, and those in settings with limited resources experienced a more pronounced impact (5, 6, 7, 13). Investigations into interventions demonstrated favorable effects of targeted treatments and support for daily living on HRQoL outcomes (7, 8, 12). Conclusion: HRQoL for patients with RA is consistently observed to be lower, with significant evidence underlining the role of both clinical and social determinants (1, 4, 6, 13, 14). It is vital to address these factors through integrated and culturally aware interventions to enhance patient outcomes (10, 12, 18, 20). There is a need for more longitudinal and intervention-oriented studies to inform global best practices (14, 16).

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Keywords: Rheumatoid arthritis; Health-related quality of life (HRQoL); Disease activity; Work ability; Functional status; Patient-centered care; Chronic disease; Global health disparities; Psychosocial impact; Rheumatology

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This paper presents an extensive review of seminal contributions at the intersection of ancient Indian philosophy and artificial intelligence (AI), with a particular emphasis on cognitive science, natural language processing and mental health. Anchored in both classical epistemological systems and emerging AI frameworks. The reviewed literature spans from metaphysical interpretations of Sanskrit grammar and Vedic knowledge systems to advanced computational methods like large language models and deep learning. The paper documents the evolution from philosophical abstraction to technological implementation, highlighting the integration of symbolic knowledge systems, ethical AI, and computational linguistics rooted in Indian tradition. The review concludes by emphasizing the enduring relevance of ancient wisdom in addressing contemporary challenges in AI, ethics, and cognitive modelling.

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Sanskrit, Artificial Intelligence, Cognitive Science, Bhagavad Gita, NLP, Vedanta, Knowledge Representation

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This study examines the role of the Deen Dayal Upadhyaya Grameen Kaushalya Yojana (DDU-GKY) in generating employment through placement-oriented skill training. Focusing on three core objectives -- (1) identifying the placement-based courses offered under DDU-GKY, (2) assessing trainees' satisfaction with those courses, and (3) evaluating the overall effectiveness of the Central Government's skill-training interventions -- the research uses primary data collected from trainees enrolled in DDU-GKY programmes. A structured questionnaire was administered to capture information on course choice, placement outcomes, perceived training quality, and satisfaction levels. Data are analysed using descriptive statistics and inferential tests (e.g., chi-square tests and ANOVA) to test the stated hypotheses about the relationship between course selection, satisfaction, and programme effectiveness. The study aims to highlight which courses deliver the best placement outcomes, identify gaps between trainee expectations and programme delivery, and offer evidence-based recommendations to improve DDU-GKY implementation and placement linkages. The findings are intended to inform policymakers, training partners, and stakeholders involved in rural skill development and employment generation.

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DDU-GKY; skill development; placement-based courses; trainee satisfaction; employment generation; programme effectiveness; rural livelihood; vocational training

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Basanti priyamvada : yatharthk avlokan

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Basanti priyamvada : yatharthk avlokan

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ABSTRACT: Background: Epilepsy is a chronic neurological condition that profoundly affects patient's quality of life (QOL) due to recurrent seizures, cognitive deficits, psychosocial stigma, and adverse effects of antiepileptic medications. Pharmacists, as accessible healthcare providers, are increasingly involved in patient education, medication management, and adherence support, which may positively influence QOL outcomes. Objective: This systematic review aims to examine the effectiveness of pharmacist interventions in improving the quality of life of individuals living with epilepsy. Methods: A thorough literature search was conducted in PubMed, Scopus, Google Scholar, PsycINFO, MEDLINE, and Web of Science for studies published between July 2015 and July 2025. Eligible studies assessed pharmacist interventions such as patient counselling, educational programs, adherence monitoring, and pharmaceutical care and their impact on QOL in epilepsy patients. Data were extracted on study characteristics, intervention strategies, outcome measures, and key results. Results: Evidence from multiple studies demonstrates that pharmacist interventions enhance medication adherence, reduce treatment-related adverse effects, and improve health-related quality of life (HRQOL) in epilepsy patients. Structured counselling, educational support, and adherence-focused programs were consistently associated with better QOL outcomes across diverse populations and clinical settings. Conclusion: Pharmacist interventions are effective in improving the quality of life of patients with epilepsy. Incorporating pharmacists into multidisciplinary care teams is recommended to optimize clinical outcomes and patient wellbeing.

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Key-words: Pharmacist interventions, Epilepsy, Quality of life, Anti-epilepsy medications and Health-related quality of life

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The present study was carried out to assess the larvicidal potential of the indigenous plant Mentha longifolia against the larvae of the Aedes aegypti (vector of Dengue, Chikungunya, and Zika), Anopheles stephensi (vector of urban malaria), and Culex quinquefasciatus (vector of Lymphatic filariasis). The acetone extract of plant leaves was used at 25, 50, 100, 200, 300, and 500 ppm dilutions in bioassays against different larval instars of the three mosquito species. Twenty larvae were exposed to the leaf extract at each concentration in a final volume of 100 ml formulation taken in a 250 ml glass beaker. The mortality data were analysed by the log-probit method, and lethal concentration (LC) values were calculated. The LC50 - LC90 values of Mentha longifolia extract against third instar larvae were calculated as 73.56 - 160.45, 72.49 & 146.57, and 81.23 - 84.69, while fourth instar larvae were calculated as 78.16 - 172.64, 81.17 - 173.47, and 144.24 - 149.26 for Aedes aegypti, Anopheles stephensi, and Culex quinquefasciatus, respectively.

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mosquito larvae, Mentha longifolia, Aedes aegypti, Anopheles stephensi, Culex quinquefasciatus, Plant extract, LC50, LC90

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Background: Respiratory tract infections (RTIs) continue to be a primary cause of illness and death globally, especially in low- and middle-income nations. They account for a substantial proportion of outpatient visits and hospital admissions in pulmonology departments. Due to overlapping clinical features of viral and bacterial infections, empirical antibiotic therapy is frequently initiated without microbiological confirmation. This practice significantly contributes to antimicrobial resistance (AMR), posing substantial challenges to public health. Objectives: To systematically review literature on antibiotic prescribing trends and drug utilization patterns in pulmonology departments of tertiary care hospitals, focusing on irrational prescribing, stewardship implementation, and guideline adherence. Methods: A comprehensive search of PubMed, Scopus, and Google Scholar (2015-2024) was conducted using predefined keywords. Four peer-reviewed studies that met eligibility criteria were selected. A narrative synthesis was used. Results: The review found high empirical use of broad-spectrum antibiotics--especially third-generation cephalosporins, macrolides, and fluoroquinolones. Adherence to guidelines was poor, and microbiological testing was infrequent. Studies implementing Antimicrobial Stewardship Programs (ASPs) reported improvements in prescribing behavior. Conclusion: Empirical antibiotic use is prevalent in pulmonology settings. Implementation of ASPs, improved diagnostics, and training are essential for optimizing antibiotic use and preventing AMR.

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Antibiotics, Prescribing Patterns, Pulmonology, Antimicrobial Resistance, Drug Utilization, Tertiary Care Hospitals.

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