Volume 13 | Issue 11 |

 Abstract

Adolescence is a critical developmental stage characterized by rapid physical, cognitive, and emotional changes that often expose individuals to stress and emotional instability. Parental and family influences play a central role in shaping adolescents' capacity to manage stress and develop emotional intelligence (EI). This study explores the dynamic interaction between family environment, parenting styles, emotional support, and the stress management competencies of adolescents. Drawing on psychological and sociological frameworks, the paper highlights how positive family functioning and emotional communication contribute to enhanced resilience, emotional awareness, and regulation among youth. The findings underscore the necessity of strengthening family-based interventions and parent-adolescent communication to promote mental health and emotional well-being.

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 Keywords

Adolescents, Emotional Intelligence, Stress Management, Parenting, Family Environment, Emotional Regulation

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analytics based on machine learning (ML) is transforming data-driven decision making in a variety of sectors by helping businesses anticipate trends, streamline processes, and improve strategic planning. The main elements of predictive analytics--data collection, preprocessing, feature engineering, model selection, and performance optimization--are examined in this essay. Applications in manufacturing (predictive maintenance and quality control), supply chain management (route Predictive optimization and inventory planning), retail and e-commerce (customer behavior analysis and demand forecasting), healthcare (disease prediction and personalized treatment), and finance (fraud detection and risk assessment) are highlighted. Notwithstanding its disruptive promise, issues including model interpretability, data quality, and ethical considerations need to be resolved. Future developments in explainable AI (XAI), big data integration, and AI-powered automation will spur innovation in business world.

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HEALTH DATA ANALYTICS: PREDICT DISEASE AND IMPROVE PATIENT CARE USING MACHINE LEARNING

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 Keywords

Flexible work, Organizational support, Employee well-being, Hybrid work, Mental health.

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The postmodern feminism revolves around the ideas of inclusivity and individual experiences; breaking the gender norms, rejecting the conventional roles, and redefining social standards set for women. The novel, Mrs. Draupadi Kuru portrays the similar themes by bringing in the female characters from Mahabharata to the present day world. Their journey and exploration in the modern world make them to redefine their identity by self reflecting their trauma and experiences of their past life in the present day life. This paper explores the postmodern feminist ideals in the novel by identifying the progress and change in the characters and how they redefined their identity and their life's based on their choice. Foucault's perception about power, role of media, discourse and the social construction helps to analyse the text to highlight how power is operated by the means of discourse and how femininity is socially constructed. Luce Irigary, Judith Butler and Helen Cixous focuses on the identity, patriarchy, discourse and culture and this paper reflects their key concepts by analysing the text.

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Feminism, Identity, Redefine, Inclusivity, Gender.

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This article endeavors to study the image of New Woman in Indian Scenario. The new woman was a feminist ideal that emerged in the late 19th century and had a profound influence well into the 20th century. In 1984, Irish writer Sarah Grand in her article.'The New Aspect of the Woman Question.' It was a Henry James who developed the phrase 'New Woman' when he used it to describe American emigrant living in Europe.

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Emergence of New Woman in Indian Scenario

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Introduction: Smartphones bring many benefits when used for the basic intended purposes, but excessive use of smartphones might turn problematic and consequently, impairs well-being, negatively impacts academic performance, and leads to various psychological and physical complications among adolescents. 1 To create awareness about smart phone addiction among nursing students the researcher conducted the study "Prevalence of smartphone addiction and its relation with sleep of nursing students of a selected nursing institution in Kolkata, West Bengal." The objectives were to identify the prevalence rate of smart phone addiction, to assess the sleep status and to find out the relationship between smart phone addiction and insomnia among nursing students. Methodology: The research approach adopted was a non-experimental descriptive survey design. The study was conducted in a selected nursing Institution of Kolkata with sample size 110. Non probability consecutive sampling technique was used. The tools used were personal information, Smart phone addiction scale- SV, and Bergen insomnia scale (BIS) for data collection. The techniques used for data collection were questionnaire through online. Result: The findings showed 30.90% participants addicted to smart phone; 90% participants were found to spend 0-5 hours daily on screens. 55.46% students admitted to using their smartphone for at least 30 minutes after the lights were turned off, and 56.63% kept their smartphone near their pillow while sleeping. The insomnia among nursing students revealed 60.91%. Smartphone addiction had significant positive correlation with insomnia (r= 0.32). Conclusion: Future research can be built upon these findings and further investigation and intervention can be done. Addressing the problems proactively and awareness and precaution can enhance academic outcomes and student's health and balance in their life.

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Smart phone addiction, sleep

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This research presents a fully implemented, end-to-end smart energy monitoring system integrating machine learning, a real-time backend service, and a Flutter-based mobile application. The system utilizes the publicly available COMBED dataset to simulate real-time smart meter readings at 30-second intervals via WebSocket streaming. Four machine learning models--KMeans clustering, Isolation Forest anomaly detection, LSTM short-term forecasting, and ARIMA long-term forecasting--enable comprehensive energy analysis including pattern recognition, anomaly alerts, and multi-horizon predictions. A FastAPI backend provides REST endpoints and WebSocket support with model inference latency below 100 ms. The Flutter application delivers a mobile-first dashboard with real-time charts, anomaly lists, bill estimation in INR, and forecast visualizations. Twilio SMS integration provides automated alerts for critical anomalies. This work distinguishes itself from prior literature through complete implementation, real-time simulation using open datasets, mobile-first architecture, and deployable multi-model integration. The system is reproducible, scalable, and extendable to real IoT smart meter hardware.

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 Keywords

Smart Meters, Energy Monitoring, Machine Learning, Anomaly Detection, Time-Series Forecasting, Flutter, FastAPI, COMBED Dataset, IoT Analytics, Sustainable Computing

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This This study investigates secondary students' perceptions of learning difficulties in English in Odisha. English, as a global language, plays a vital role in India's education, yet many learners struggle with its mastery. Using a descriptive survey design, 80 Class IX students from four Odia-medium secondary schools (government and private) in Cuttack district were sampled through a combination of simple random, convenient, and purposive techniques. Data were collected using a validated 45-item Language Difficulty Perception Scale (reliability = 0.85). Findings reveal that most students consider English moderately difficult, with gender significantly influencing perceptions, while school type had no significant effect. The study highlights the need for inclusive and responsive pedagogical approaches to address students' learning difficulties and improve English language instruction. By centering learners' perspectives, the research contributes to both theory and practice in language education in Odisha.

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English Language, Secondary Students, Learning Difficulties, Perception, Odisha

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Creative Commons Attribution 4.0 and The Open Definition

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Prefilled syringe are more beneficial device for the purpose of drug delivery of parental dosage form. They are more convenient to manufacture and delivering the dosage of medicine. The review article discusses the components of Prefilled syringe, its applications and its compatibility with the packing material, Extractable and leachable and challenge's with the Prefilled syringe. This type of knowledge can familiarize the formulation scientist. In the use of Prefilled syringe as both packing and delivery system for pharmaceutical drug product is accelerating. Prefilled syringe must have good quality, stability and efficiency for both system including with the drug product. In that, the incompatibility study between the drug product and Prefilled syringe including the safety of the drug product.

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prefilled syringes

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This paper examines how generative artificial intelligence (AI) challenges traditional conceptions of authorship, creativity, and intellectual property. Using a theoretical framework drawn from literary theory (Barthes, Foucault), cognitive accounts of creativity (Boden), and contemporary legal and policy responses, the study interrogates whether machine-generated artifacts can be integrated into existing frameworks of ownership and moral attribution. The paper traces technological developments in generative models, analyzes landmark legal decisions and policy guidance, and proposes conceptual and normative responses that balance innovation, fair reward, and protection of human creative labor.

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 Keywords

Digital Era, Innovation, Skills, Senses,Authenticity

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