Volume 13 | Issue 4 |

 Abstract

Anxiety is a common human emotional state and anxiety disorders represents a major class of clinical problems that occur throughout the lifespan. Anxiety have a major influence upon mood, our sense of well-being, behavior, and health. A descriptive cross sectional survey approach was conducted to assess the level of anxiety among family members of schizophrenic patient regarding care of schizophrenia attending psychiatric OPD in a selected hospital cuttack, odisha. The selected sample size was 50 by purposive sampling technique. Standardized LIKERT scale was used for assessment of anxiety. According to the results, 48% of family members were experienced mild anxiety, 14% of family members were experienced moderate level of anxiety and 2% of family members were experienced severe level of anxiety .Factor wise analysis revealed that highest 46% of family members were experienced both mild level of anxiety related to emotional factor, 12% of family members had severe level of anxiety related to treatment factor ,8%of family members were experienced panic level of anxiety related to social factor. Comparison level of anxiety with socio-demographic variables reveals that highest 42% of family members had mild level of anxiety related to unemployment. Association between level of anxiety among family members were significant with their relation to the patient age,occupation,education,religion with highly significant of monthly income and no significance with sex, types of family,residence and duration of treatment by psychiatrist. so, family members may perceive challenges regarding the caring of individuals with mental disorders.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Anxiety, cross sectional survey, schizophrenic patient

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Marriage is not just the union of two bodies, but the blending of two souls destined to walk together through time.Hindu marriage, once an indissoluble sacrament, now stands at the crossroads of tradition and modernity. Marriage, in its purest essence, is a profound union of two souls, deeply rooted in trust, companionship, and lifelong commitment. In Hindu philosophy, marriage transcended the idea of a mere contract, embodying the principles of Dharma and divine harmony. Guided by sacred scriptures, it was viewed as an enduring journey of patience, sacrifice, and unwavering trust, where the concept of divorce was almost alien. However, time, colonial influence, and societal reforms began to reshape this revered institution. The landmark Hindu Marriage Act of 1955 introduced legal recognition to divorce, alimony, and maintenance, offering relief from oppressive unions but simultaneously diluting the sacrosanct nature of the marital bond. Today, Hindu marriage navigates a challenging landscape where love is often overshadowed by legal battles, ego clashes, and shifting priorities. While globalisation and evolving gender roles empower individuals, they also strain traditional expectations. Social media further fuels infidelity and unrealistic ideals, leading to fragile alliances. The transformation from sacred vow to a dissolvable contract prompts critical reflection: have legal reforms advanced justice or weakened the essence of marital unity? This exploration seeks to understand the dynamic evolution of Hindu marriage and its relevance in contemporary society.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Hindu Marriage, Dharma, Divorce, Legal Reform, contract, Dharma, Sacrament

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This project aims to design and develop an electric vehicle (EV) loader tailored for industrial and commercial loading applications. As industries shift towards eco-friendly practices, there is an increasing demand for sustainable equipment that can handle heavy loads efficiently while reducing environmental impact. This electric loader is engineered to provide high torque and power output for lifting and transporting materials within warehouses, construction sites, and distribution centers. By incorporating advanced battery technology and energy-efficient motors, the loader ensures extended operational time and minimal emissions. The project encompasses the design, simulation, and testing of the EV loader prototype, focusing on load capacity, safety, energy management, and ease of operation to support sustainable, high performance material handling solutions. The development of an electric vehicle (EV) loader equipped with a hydraulic lift is an innovative approach to enhancing the efficiency, sustainability, and adaptability of loading and material handling operations. This design integrates an electric-powered loader with a hydraulic lifting system, providing an eco-friendly alternative. The electric vehicle loader is powered by a battery pack, reducing greenhouse gas emissions and reliance on fossil fuels, which aligns with global sustainability goals. The hydraulic lift system allows for precise and robust handling of materials, with the capability to lift heavy loads smoothly and safely. The primary features include a rechargeable battery system, which provides a clean and silent operational environment, and advanced hydraulics for load stability and control. This setup also incorporates energy saving measures, such as regenerative brake which returns energy to the battery during load descent. The EV loader with hydraulic lift offers applications in diverse fields, including construction, warehousing, and manufacturing.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Hydraulic lift , trolley system , load handling , DC Motor , Chassis design

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This review discusses how artificial intelligence (AI) is revolutionizing cybersecurity by improving threat detection and response mechanisms. AI-based methods, more so machine learning and deep learning, have immensely enhanced the capacity for detecting and countering threats like network intrusions, adversarial attacks, and zero-day vulnerabilities. One of the main themes of this research focuses on the necessity of explainability and resilience within AI models to provide trust and reliability in security applications. The examination spans sectors such as Industry 5.0, Internet of Things (IoT), 5G networks, and autonomous vehicles, highlighting the adaptability of AI in solving security issues across industries. Sophisticated methods like transformer-based models, federated learning, and blockchain integration open doors for more effective and real-time threat detection systems.D espite such progress, various challenges persist, including managing large data, ensuring real-time threat reaction, and ensuring privacy and security. Although there has been significant progress, research and cooperation need to continue in order to maximize the strengths of AI in protecting digital systems.

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 Keywords

Artificial Intelligence (AI), Cybersecurity, Threat Detection, Machine Learning, Deep Learning, Explainable AI (XAI), Zero-Day Attacks, Adversarial Attacks, Internet of Things (IoT), 5G Networks, Autonomous Vehicles, Federated Learning.

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Creative Commons Attribution 4.0 and The Open Definition

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Weather monitoring plays a crucial role in various sectors, including agriculture, aviation, disaster management, and daily life. Traditional weather forecasting systems rely heavily on data collected from meteorological stations, satellites, and human observations. However, the advent of the Internet of Things (IoT) has revolutionized weather monitoring and prediction by enabling real-time, high-precision data collection through interconnected devices and sensors. An IoT-based weather monitoring system utilizes a network of distributed sensors to gather environmental data such as temperature, humidity, wind speed.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

IoT,Weather Monitoring, Real time , Sensors, Environmental Data.

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Creative Commons Attribution 4.0 and The Open Definition

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Automation in manufacturing industries has significantly increased efficiency and accuracy. This paper presents a Stamping and Labeling Machine using Programmable Logic Controller (PLC), which automates the process of stamping and labeling products on a conveyor system. The system is designed to enhance productivity, reduce manual intervention, and minimize errors in product identification and tracking. Automation generally improve the profit and productivity, it is very scalable

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Stamping, Labeling, PLC, Automation, Conveyor belt Industrial control

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Saptarshi Banerjea is a renowned figure in the world of homeopathy, serving as a physician, mentor, and teacher. He is part of the fifth generation of the Banerjea family, which is possibly the longest-serving homeopathic family in the world.

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Synoptic Memorizer of Materia Medica - Revised & Enlarged Edition with Comparative Materia Medica

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This study examines the perceptions of coconut farmers in Pollachi regarding various marketing strategies for coconut and coconut-based products. It explores their awareness, preferences, and the challenges they face in adopting both traditional and modern marketing methods. Using data collected from 129 respondents through structured questionnaires, the research employs statistical tools like percentage analysis, rank analysis, Likert scale, chi-square, and t-test. The findings reveal major issues such as lack of awareness, dependency on middlemen, and limited infrastructure. The study suggests enhanced digital marketing, cooperative linkages, and government support to improve farmers' income and market access.

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Keywords: Coconut marketing, Farmer perception, Marketing strategies, Agricultural economics.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Youth are the nation-builders, whether they belong to rural or urban areas. However, there is a significant difference between them: youth in rural areas struggle more compared to their urban counterparts due to numerous constraints. For instance, in the Kandi area of Hoshiarpur, Punjab, many rural youths opt for a career in the Army after completing their 10+2 education. Notably, Hoshiarpur is one of the most highly educated districts in Punjab, with a literacy rate surpassing that of other districts. Despite this, approximately 75% of villagers are still engaged in agriculture and allied activities. Unfortunately, due to various constraints, they are not pursuing entrepreneurship opportunities. Entrepreneurship is a viable solution to curb the migration of rural youth to urban areas by providing them with opportunities, improving their standard of living, and contributing to village development. Rural entrepreneurship also generates job opportunities for youth, which is essential for their economic empowerment. Numerous opportunities are available in rural industrialization for individuals passionate about becoming entrepreneurs. Passion, therefore, is a crucial requirement for entrepreneurship. The government is currently offering various opportunities to rural youth, such as skill development programs and technical knowledge programs at no cost. A prime example of successful rural entrepreneurship is the management of KMS College of IT and Management. The management team, hailing from a rural area, has established KMS College as a leading institution in Dasuya, offering technical courses to youth that foster their future perspectives as entrepreneurs. Furthermore, rural entrepreneurship has the potential to promote sustainable development, reduce poverty, and enhance the overall quality of life in rural areas. By leveraging resources, such as local materials and traditional skills, rural entrepreneurs can create innovative products and services that cater to both local and global markets.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Constraints, Entrepreneur, Kandi, Industrialization, Literacy, Rural Development, Sustainable Growth, Youth Empowerment.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Augmented analytics is revolutionizing how data is analyzed and interpreted by integrating artificial intelligence (AI), machine learning (ML), and natural language processing (NLP). This advanced approach automates tasks like data preparation, insight generation, and visualization, enabling users to uncover actionable intelligence without needing deep technical expertise. It reduces human biases, streamlines workflows, and enhances decision-making accuracy and timeliness. This seminar delves into the foundational concepts of augmented analytics and its cutting-edge techniques. It highlights real-world applications across industries such as healthcare, finance, and retail, demonstrating how businesses are using this technology to drive smarter, data-driven decisions. Additionally, the seminar covers how augmented analytics integrates seamlessly with modern business intelligence tools to deliver more impactful results. Attendees will discover how augmented analytics simplifies data processes with AI tools, empowering users to make data-driven decisions.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Augmented Analytics, Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Data Visualization, Business Intelligence (BI), Predictive Analytics, Prescriptive Analytics, Automated Data Preparation, Insight Generation, Data Democratization, Explainable AI (XAI), Data Privacy, Ethical AI, Real-Time Analytics, Decision Optimization, Data-Driven Decision Making.

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Creative Commons Attribution 4.0 and The Open Definition