Volume 13 | Issue 4 |

 Abstract

This paper investigates the role of distorted thinking patterns in familial dysfunction in Mark Haddon's The Curious Incident of the Dog in the Night-Time. Maladaptive thought patterns such as catastrophizing, black-and-white thinking, emotional reasoning, etc. have a substantial influence on behavior and emotional well-being. The cognitive distortions of all the main characters in this novel result in a loop of miscommunication and conflicts. They further lead to a dysfunctional family. This paper reveals how the major characters' unhealthy cognitive processes perpetuate relational and emotional distress. It brings out the moments of both cognitive distortions and cognitive restructuring. Furthermore, this paper highlights the importance of recognizing and addressing cognitive distortions to foster healthier family dynamics. It offers a compelling intersection of psychology and literary analysis.

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 Keywords

CBT, cognitive, dysfunctional family, psychological fiction, maladaptive, Haddon

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The Uniform Civil Code (UCC) has been a subject of debate in India for decades. It aims to replace personal laws based on religion with a common set of civil laws governing marriage, divorce, inheritance, and adoption. The historical context, constitutional provisions, difficulties, and ramifications of implementing UCC in India are all critically examined in this paper. It also explores judicial interpretations and contemporary perspectives on the subject. Through an examination of the existing literature and legal frameworks, this research emphasizes the importance of UCC in promoting gender justice and national integration while responding to issues of religious diversity and cultural identity.

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Legal Pluralism in India Personal Laws Reform Secularism and UCC Article 44 Constitutional Mandate Minority Rights vs Uniformity Gender Justice and UCC Religious Autonomy vs State Intervention Codification of Civil Laws Triple Talaq Judgment Impact Goa Civil Code Precedent Multicultural Jurisprudence Judicial Advocacy for UCC Intersection of Law and Religion Constitutional Morality in Family Law Identity Politics and Legal Reform Human Rights Framework for UCC UCC and Legal Unifo

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The Efficacy of Ayurvedic Treatment in Managing Premature Ejaculation and Erectile Dysfunction his report describes a 35-year-old, non-diabetic male presenting with premature ejaculation (PE) and erectile dysfunction (ED). An Ayurvedic treatment protocol was administered over three months. Pre- and post-treatment assessments revealed significant enhancements in ejaculation time (from ~10 sec to 5 min), improved erectile sustainment and ability for a second erection, and increased serum testosterone (120 to 360 ng/dl). These outcomes suggest Ayurvedic therapy holds potential for effectively managing PE and ED, warranting further investigation into its efficacy for these common male sexual health conditions.

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Erectile Dysfunction, Premature Ejaculation

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Corporate Social Responsibility (CSR) in India is increasingly being viewed as a crucial component of sustainable development that requires a long-term perspective that goes beyond short-term profit motives. This analysis of corporate social responsibility in India highlights the many scopes of this trajectory, which has seen both progress and challenges. This paper tries to evaluate the development of CSR in the Indian context based on mandatory spending versus strategic integration, within a robust regulatory framework. Analyzing leading corporations' CSR expenditures over several fiscal years underlines the fact that there is a serious growth in investment but also nuanced variations, reflecting companies' strategic choices and responses to internal and external pressures. This study analyzes the Corporate Social Responsibility (CSR) practices of India's topmost valuable companies, focusing on trends, challenges, and impacts from FY 2018-19 to FY 2023-24. CSR in India has evolved into a strategic approach that aligns corporate objectives with societal needs, guided by the Indian Companies Act of 2013. The analysis highlights significant variations in CSR spending, with Reliance Industries leading in annual contributions and ICICI Bank achieving the highest growth rate.

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CSR, valuable companies, sustainable development.

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The research explores the development of a unified multimedia system geared towards improving content access and creation by incorporating several major features such as Text-to Speech, automated transcription, video captioning, audiobook creation, and audio video integration. The web application provides a comprehensive solution for users who face difficulties due to visual, auditory, or cognitive factors by transforming text into speech, generating captions for videos, and publishing audiobooks for text-to-speech listening. Finally, the users can combine audio and video material for more enhanced multimedia presentations.

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Multimedia Platform, Text-to-Speech, Transcription, Caption Generation, Audiobook Creation, Audio-Video Merging, Accessibility, Content Enhancement, Unified Platform.

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With the rapid advancement in artificial intelligence and the growing importance of intelligent transport systems, there has emerged a vital need to develop vehicle monitoring systems that are not just reactive, but predictive in nature. AutoCare AI is designed to proactively assess vehicle health using a fusion of computer vision and audio analysis, thereby empowering users with timely insights. By transforming routine maintenance into a smart, data-driven process, AutoCare AI aims to increase vehicle longevity, reduce unexpected failures, and enhance road safety.

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5000

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Predicting stock market trends is a challenging task due to the highly volatile and nonlinear nature of financial data. Traditional forecasting models often struggle to capture complex market patterns, necessitating the adoption of advanced machine learning and deep learning approaches. This study presents a comprehensive stock price prediction system that integrates AutoRegressive Integrated Moving Average (ARIMA), Long Short-Term Memory (LSTM) networks, and Linear Regression models for enhanced forecasting accuracy. Additionally, sentiment analysis is incorporated to assess market sentiment using social media data, providing deeper insights into stock price fluctuations.The ARIMA model is employed for time-series forecasting, effectively capturing linear trends, while LSTM, a deep learning architecture, is used to learn long-term dependencies in stock price movements. Linear Regression serves as a statistical approach for trend estimation. Sentiment analysis, conducted using TextBlob and Twitter API, enables the evaluation of public perception, further refining stock predictions. The system is deployed as a Flask-based web application, allowing users to perform real-time stock analysis.Experimental findings indicate that LSTM outperforms ARIMA and Linear Regression in capturing intricate stock price variations, while sentiment analysis provides valuable supplementary information for trend forecasting. This research underscores the significance of combining time-series analysis, deep learning techniques, and sentiment analysis to improve stock market prediction reliability. Future enhancements may include the integration of additional financial indicators and real-time data streams for greater predictive accuracy.

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stock market prediction, ARIMA, LSTM, linear regression, sentiment analysis, deep learning, machine learning.

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???? ??????? ?? ????????? ????? ???????? ??? ?? ?? ?? ????? ???? ????? ?? ??? ??? ?? I ???? ?? ????? ??? ?? ??? ?? ???? ??? ??? ?? ???? ?????? ??, ?? ???? ?? ??????? ??? ???? ?? ??? ?? ???? ?? I ?????? ????- ???? ??? ????? ??? ?? ?????? ??? ?????? ??? ?? ?? ??????? ?? ???? ?? ??????? ?? ???????? ???? ??? I ??? ?? ??? ??????? ???? ??? ??? ????? ?? ?? I ???? ???? ?? ??? ????? ???? ?? ?????????? ?? ??? ????? ??? ??? ???? ??????? ??????? ???? ?????? ?????? ????? ??? I ????? ?????? ??? ??? ?? ?????? ????? ??? I ???? ?? ?????? ???? ?? ???????? ?? ?????? ???? ?? ?? ???? ??? ????, ?? ?????? ???? ???? ??? ???? ?? ???? ?? ?? ?? ?? ???? ??? ???????? ?? ???? ?? ?? ???? ??? I ???????? ?? ???? ??? ??? ?? ?? ??? ?????? ??? ?? ???? ????? ??? ???????? ??????? ?? ???? ?????? ???? ??? ?? ?? I ?? ?? ????????? ?? ??? ???? ???? ???? ??????? ???? ???, ????? ?? ?????? ????? ?? ???? ?? ????? ?? ????? ??????? ???????? ?? ??? ??? ?? ?? ???? ???? ??????, ???? ???? ??? ??? ?? ????? ?? ??? ????? ?????? I ??? ???????? ?? ????? ??? ???? ???? ?? ??????? ?? ??????? ???? ???, ????? ??? ?? ???????, ?????? ??? ???????? ????? ???? ??????? ?? ?????? ??? ??? I ??????? ????? ???, ????, ????, ????,???? ????? ??? ?? ?????????? ?? ???? ???????? ??????? ?? ?????, ????? ?? ???? ?? ????, ???????? ??? ???? ????? ?????? ???? ?? I ??????? ????? ?? ???? ????? ???????? ???- ??????? ?? ???? ?????, ????, ????????, ???????, ???? ?????? I ??????? ??? ?? ?????????? ?? ???? ?????? ?? ??? ??? ?? ?? ???? ???????-??????? ?????? ?? ??????? ?? ???? I ???????? ??? ???? ??? ?????? ????? ??? ??????? ??????? ?????? ?? ?????? ?? ???? ?? ??????? ??? ????? ???? ??? ?? I

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??????? ?????, ???????-??????? ?????? I

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A study titled "Life Skills of Senior Secondary Level Students" was conducted on higher secondary school students in Prayagraj city. The research included 318 students from rural and urban schools, selected through stratified random sampling. The descriptive survey method was used, and data were collected using a standardized scale developed by Dr. Chandra Kumara and Ayushi Tripathi. The study focused only on Prayagraj city. The findings revealed significant difference in life skills between male and female students. However, there was a significant difference in life skills between students from rural and urban areas, UP Board and CBSE Board, as well as government and private schools. The study emphasizes the need to improve students" life skills by changing the teaching-learning approach to foster critical thinking, problem-solving, decision-making, self-awareness, and effective communication. Life skills are essential for students' overall development, helping them navigate academic, social, and emotional challenges. The research highlights the importance of student-centered learning, which accommodates different cognitive styles. Integrating life skills into the curriculum can enhance students" analytical thinking, resilience, adaptability, and interpersonal relationships. This study underscores the urgency of life skills training in schools to prepare students for an evolving world. A structured educational framework focusing on life skills can enrich learning experiences and empower students in their personal and professional lives. By understanding students" life skills, teachers can enhance their teaching strategies, making the curriculum more effective and beneficial. The study concludes that incorporating life skills education is essential for developing well-rounded, competent individuals ready to face real-world challenges.

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"LIFE SKILLS OF SENIOR SECONDARY LEVEL STUDENTS."

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Wildlife conservation faces challenges due to deforestation, climate change, and human encroachment, leading to animal-vehicle collisions, habitat degradation, and wildfires. This project introduces an AI and IoT-based system for real-time wildlife monitoring and environmental assessment. It employs YOLO-based AI cameras to detect animal movements, integrating an automatic braking system in vehicles to prevent collisions. In case of an impact, the system instantly alerts the forest department with detailed incident data. To enhance habitat protection, flame and smoke sensors detect wildfires early, while soil sensors monitor moisture, pH, and nutrient levels to assess ecosystem health. An AI-driven leaf analysis module further enables early disease detection and stress assessment in plants. All data is processed in a real-time dashboard, generating automated alerts and insights for conservation authorities. By combining AI, IoT, and predictive analytics, this system provides an efficient, scalable, and automated approach to wildlife protection and habitat conservation.

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AI,IOT,YOLO,Automatic Braking system

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