Volume 14 | Issue 6 |

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Predictive Modelling; Workforce Metrics; Financial Performance; Advance In machine learning, random forest is a very popular predictive model and analytics; HR analytics; Zeichn Forster

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract The present study investigates the intrinsic relationship between classical music traditions and string instruments, with special emphasis on Hindustani classical music. This research integrates concepts from musicology, physics, and engineering to analyze sound production, resonance behavior, and tonal characteristics of string instruments. Using theoretical formulations, experimental techniques, and computational modeling such as Finite Element Method (FEM), the study explores vibrational modes, air-structure interaction, and intonation mechanisms. The findings demonstrate that the evolution of classical music is closely linked to the structural and acoustic development of string instruments. Furthermore, the study highlights the role of modern technology in enhancing analytical understanding while emphasizing the need to preserve traditional aesthetics. This interdisciplinary approach contributes to both academic research and practical advancements in musical acoustics.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords Hindustani Classical Music, String Instruments, Vibroacoustics, Resonance, FEM Analysis, Intonation, Music Acoustics, Sound Production

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Key words: Meditational music therapy, Anxiety, Personality,

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Onpathaam Thirumurai Suttum Puraanach Seithikal

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Onpathaam Thirumurai Suttum Puraanach Seithikal

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Emotional intelligence, self-esteem, adolescents, government schools, private schools, Kerala, Gujarat, moderation

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Emotional maturity is an important psychological construct that enables individuals to understand, regulate, and express emotions effectively. It plays a crucial role in personal well-being, social relationships, academic achievement, and professional success. This conceptual review examines the meaning, theoretical perspectives, dimensions, and educational implications of emotional maturity. The paper discusses key dimensions such as emotional stability, emotional progression, social adjustment, personality integration, and independence, along with factors influencing emotional development. The review highlights the significance of emotional maturity in educational settings and emphasizes its role in fostering effective learning, teaching, and overall development. The paper concludes by suggesting the need for greater focus on emotional development in education and future research.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Emotional Maturity, Theoretical Perspectives, Dimensions, Educational Implications.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Neem (Azadirachta indica A. Juss), an ancient and extraordinary medicinal tree belonging to the family Meliaceae, is justly celebrated across traditional medicine systems as a 'complete pharmacy in itself.' Indigenous to the Indian subcontinent and South-East Asia, neem has been used medicinally for over four millennia in Ayurveda, Siddha, and Unani systems. Its wide pharmacological repertoire has attracted global scientific attention, resulting in the characterisation of more than 300 distinct phytochemical compounds from its various parts including leaves, bark, seeds, flowers, fruits, roots, and gum exudate. This review comprehensively consolidates the current knowledge on the phytochemical constituents of neem -- encompassing limonoids, terpenoids, flavonoids, polyphenols, tannins, alkaloids, saponins, sterols, fatty acids, polysaccharides, and volatile compounds -- and systematically relates them to documented pharmacological activities including antimicrobial, anti-inflammatory, anticancer, antidiabetic, antifertility, antioxidant, immunomodulatory, insecticidal, and hepatoprotective actions. The review also discusses extraction methodologies, structure-activity relationships (SAR), toxicological considerations, and future research trajectories,providing a holistic reference for both traditional phytotherapy and modern drug discovery.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Azadirachta indica A. Juss, Meliaceae, 300 distinct phytochemical compounds, leaves, bark, seeds, flowers, fruits, roots, and gum, antimicrobial, anti-inflammatory, anticancer, antidiabetic, antifertility, antioxidant, immunomodulatory, insecticidal, and hepatoprotective actions

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Background. Parental mental illness constitutes an escalating public health crisis in low- and middle-income countries (LMICs), where treatment gaps of 70-92% (India), structural stigma, and socioeconomic adversity amplify intergenerational developmental risk through interacting genetic, neurobiological, cognitive, emotional, and family-contextual pathways. Objective. This integrative review synthesizes global and Indian epidemiological, mechanistic, and clinical evidence to delineate pathways of intergenerational psychological vulnerability, characterize domain-specific adolescent outcomes, and identify scalable multidomain strategies for early detection and prevention. Results. High-risk adolescents exhibit elevated trait anxiety (d ? 0.40-0.70), selective executive-function deficits (d ? 0.30-0.50), and personality profiles characterized by heightened neuroticism and diminished conscientiousness (d ? 0.30-0.60), often subdiagnostically. India's disproportionate burden -- caregiver load pooled at 31.7%, treatment gap of 70-92%, and pronounced rural-urban disparity -- amplifies these trajectories. Multidomain screening integrating cognitive, anxiety, personality, and family-burden assessment, combined with family-centered, school-based, and digitally scalable interventions, demonstrates consistent efficacy for resilience building and trajectory interruption. Conclusion. Embedding validated multidomain screening within family-centered, school-linked, and digitally enabled systems provides a pragmatic, scalable pathway for early identification, targeted prevention, and population-level impact across India and comparable LMIC settings.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Parental mental illness, Adolescent psychopathology, Intergenerational transmission, Executive function, Trait anxiety, Neuroticism, HPA-axis dysregulation, Multidomain screening, Preventive psychiatry, India

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: Rural-urban migration remains a pivotal challenge for regional stability in the Union Territory of Jammu and Kashmir. This study employs a dual-methodology approach: (1) a bibliometric analysis of global and national literature (2014-2025) concerning rural development and migration and (2) a focused evaluation of flagship schemes MGNREGA, PMAY-G, and PMGSY within the Jammu region. Using VOSviewer for keyword co-occurrence and thematic mapping, we identify a shift from "survival migration" to "development-linked mobility". Findings suggest that while infrastructure schemes (PMGSY) reduce isolation, wage-guarantee schemes (MGNREGA) serve as a critical localised stabiliser. The paper concludes with policy recommendations for "Ru-urban" clusters to mitigate distressed migration.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Rural Development, MGNREGA, Rural-Urban Migration, Jammu Region, Bibliometric Analysis, VOS viewer.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

TheAIResumeAnalyzer using Natural Language Processing(NLP) Algorithm is a cutting-edge tool designed to streamline and enhance the recruitment process. In today's competitive job market, em ployers and HR professionals are inundated with countless resumes, making the task of identifying the most qualified candidates adaunt ing and time-consuming challenge. This AI-powered solution lever ages advanced NLP techniques to automatically evaluate and rank resumes, significantly improving the efficiency and effectiveness of talent acquisition. The system begins by extracting textual content from resumes, which can be in various formats such as PDF, Word, or plain text. The NLP algorithm then parses this textual data to identify and categorize key information, including candidate con tact details, skills, work experience, education, and other relevant sections. Furthermore, it evaluates the quality and relevance of the content, considering factors like the match between the candidate's skills and the job requirements, the length and quality of the work experience, and the presence of industry-specific keywords.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

1. Core Technology & Domain Keywords Natural Language Processing (NLP) Artificial Intelligence (AI) Machine Learning (ML) Information Extraction Text Mining Resume Parsing / Parsing Textual Data 2. Application & Problem Domain Keywords AI Resume Analyzer Talent Acquisition Automated Screening & Shortlisting Recruitment Process Automation Keyword and Skill Matching Mitigating Unconscious Bias in Hiring . Methodology & System Architecture

  License

Creative Commons Attribution 4.0 and The Open Definition