Volume 14 | Issue 6 |

 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

 Abstract

AI-generated synthetic media is becoming a serious threat to digital trust, identity verification, and information integrity across social, legal, and security-critical contexts. Most existing AI detectors analyze only one modality at a time, which leaves them vulnerable when image and audio manipulations are coordinated across channels. This paper presents DeepShield, a multimodal AI detector for image and audio that processes image and audio inputs through separate deep learning pipelines and combines their outputs through late fusion. The visual branch integrates an Xception-based convolutional backbone [1] with a Vision Transformer (ViT-B/16) [6] and frequency-domain feature extraction to highlight spatial and spectral artifacts.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

AI detection for image and audio, multimodal learning, late fusion, Xception, Vision Transformer, MFCC, CNN-LSTM, explainable AI

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

ABSTRACT This is an article on contemporary Gujarati short stories, its transformation, ideologies, subjects, themes, women writers and postmodernism. Particularly, the stories written in 90s and new millennium.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keyword: Short stories, Gujarati stories, modernism, post-modernism, feminism, post colonialism

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The study examines the influence of the Union Budget on stock market behavior across selected sectors and highlights its importance in understanding how fiscal policy announcements shape investment decisions, stock price movements, and market confidence. The main purpose of this study is to analyse the extent to which budget announcements affect stock prices, returns, and sectoral market performance during the budget period. The objectives of the study aim to identify changes in stock prices and returns of selected companies during the budget period and to analyse the effects of the Union Budget on sector-wise market performance in the pre- and post-budget periods. The research adopts a descriptive research design and is based on secondary data collected from reliable and authentic sources to provide a systematic understanding of market reactions, while purposive sampling is used to select relevant companies and sectors based on the objectives of the study. Data analysis is carried out using ANOVA to evaluate variations and significant differences in stock performance, supported through the use of JAMOVI software for statistical analysis. The findings of this study are expected to contribute to investors, researchers, financial analysts, policymakers, and market participants by offering insights into budget-driven sectoral trends and improving investment decision-making and policy understanding.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Union Budget, Stock Market Performance, Stock Prices, Stock Returns, Sectoral Analysis, Fiscal Policy, Investment Decisions, Market Behavior, Pre- and Post-Budget Analysis.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Corporate Social Responsibility (CSR) has emerged as an essential element of corporate governance, promoting sustainable growth by integrating commercial strategy with social and environmental obligations. The Companies Act, 2013 in India requires companies that satisfy certain financial criteria to donate a minimum of 2% of their average net earnings to CSR activities, representing a notable change in corporate responsibility. This study analyzes CSR spending trends in Bengaluru Urban from 2014 to 2022, emphasizing sectoral distributions like Education, Health, Environment, and Rural Development. The research employs trend analysis, sector-specific distribution, Compound Annual Growth Rate (CAGR), correlation analysis, and comparisons between pre and post-pandemic periods to identify significant changes in CSR priorities. The results demonstrate that CSR expenditures on Education, Health, and Environmental Conservation had a significant rise after 2020, indicating business response to socio-economic concerns. Furthermore, correlation research underscores the strong relationship between CSR expenditure and significant social impact metrics, so affirming its contribution to regional development. This study offers empirical insights for policymakers, enterprises, and scholars, highlighting the need for deliberate CSR investments to optimize long-term sustainability and social effect.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Corporate Social Responsibility (CSR), Bengaluru Urban, Post-Pandemic, Health Infrastructure, Education, Digital Inclusion.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The rapid growth of digital education platforms has transformed the way students access learning resources; however, most traditional e-learning systems still follow a generalized teaching approach that does not adapt to the individual needs, abilities, and learning pace of students. To address this limitation, this paper presents LearnSphere, an AI-powered adaptive learning ecosystem designed to deliver a personalized and intelligent educational experience. The proposed system integrates artificial intelligence techniques such as student classification, recommendation systems, Natural Language Processing (NLP), and Retrieval-Augmented Generation (RAG) to create a dynamic and student-centric learning environment. LearnSphere evaluates student performance through assessments and categorizes learners into different proficiency levels such as Beginner, Intermediate, and Advanced. Based on the learner's performance, preferences, and interaction history, the system recommends customized study materials including notes, videos, and practice questions.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Adaptive Learning, Artificial Intelligence in Education, Personalized Learning, Retrieval-Augmented Generation (RAG), Natural Language Processing (NLP), Recommendation Systems, Learning Analytics, Intelligent Tutoring System.

  License

Creative Commons Attribution 4.0 and The Open Definition