Volume 13 | Issue 5 |

 Abstract

Nutritional deficiency illnesses are a significant public health issue in India and other developing nations, affecting 55% of childhood deaths. Mothers play a crucial role in providing children under five with the necessary nourishment for growth and development. To help children establish healthy eating patterns from an early age, exposure to healthy food and eating patterns at home and beyond the family should encourage favourable attitudes towards good nutrition. This is especially important for children between the ages of zero and five. Aim: The aim of the study is to assess the level of knowledge regarding malnutrition and its prevention among mothers of under 5-year children in community area, Amloh, Punjab. Material and Methods: A descriptive survey approach has been utilized in the study to assess the knowledge regarding malnutrition, its prevention and control among mothers of under five children's. The sample for the study composed of 40 Mothers who were selected by nonprobability purposive sampling technique. The data was collected by self-structured questionnaire. Results : The results shows that 17.5% of mothers had adequate knowledge, 47.5% had moderately adequate knowledge and 35.0% had inadequate knowledge regarding dietary practices in prevention of malnutrition. The Chi-square value shows that there is significance association between the score level and demographic variables which include number of under five children and type of food consumption. The calculated chi-square values were more than the table value at the 0.05 level of significance. There is no significance association between the level of scores and other demographic variables. This includes Age of the mother, educational status, occupation, type of family, monthly income of family, religion, and source of health information. The calculated chi-square values were less than the table value at the 0.05 level of significance. In the study it was concluded that most of the women have moderate knowledge that is 47.5% and only 17.5% women have adequate knowledge.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Malnutrition, Children under 5 years.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Employee attrition, organizational performance, retention, turnover, productivity, HRM, talent management, financial impact, morale, employee engagement, remote work, hybrid work culture, strategic workforce planning, voluntary turnover, involuntary turnover

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In India, the dissolution of marriage raises complex legal issues around asset division, yet there is no clear statutory framework defining or governing marital property. Existing personal laws address maintenance and alimony but offer fragmented and inconsistent remedies, often leaving the contributions of non-earning spouses, particularly homemakers, undervalued. Judicial discretion largely determines property outcomes, frequently resulting in unequal settlements that disproportionately impact women. Unlike countries with equitable distribution or community property systems, India lacks a uniform and gender-just approach. The paper argues for a uniform approach that upholds the economic rights of homemakers and ensures fair division of matrimonial assets, reflecting the contributions of both spouses.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Marital propperty, Family law, Divorce proceedings

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

OOTDiffusion is a groundbreaking method for virtual try-on that delivers exceptional realism and control. By leveraging the power of latent diffusion models and incorporating innovative techniques like outfitting fusion and dropout, OOTDiffusion generates incredibly natural and lifelike images. It allows for precise customization of garment details and their placement on the body, providing a highly personalized virtual try-on experience. This method is efficient, versatile, and capable of handling a wide range of garment types and body shapes. OOTDiffusion could change online shopping by giving customers a more engaging and enjoyable way to try on clothes virtually. It also helps fashion retailers by lowering return rates and improving customer satisfaction. We introduce OOTDiffusion, a new system for realistic and customizable virtual try-ons. Unlike other methods, it accurately matches clothing to the person's body without unnecessary adjustments. We also add a feature called outfitting dropout during training, allowing us to control how prominent the clothing details are. Our tests on popular datasets show that OOTDiffusion produces high-quality try-on images for various people and outfits. It outperforms other methods in both realism and control, marking a significant advancement in virtual try-on technology.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

OOTDiffusion, Virtual Try-on, Realism, Control, Diffusion Models, Garment Customization, Body Fit, Customer Satisfaction

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study investigates the impact of social factors on the trading behavior of individual investors, with a particular focus on Coimbatore City. Traditional economic theories often assume that investors behave rationally based on available information. However, real-world trading behavior frequently deviates from this assumption due to the influence of social, psychological, and emotional factors. This research emphasizes the role of social networks, peer influence, cultural values, and media in shaping individual investment decisions. Social networks, including family, friends, and online communities, play a critical role in decision-making, often leading to herd behavior, where individuals follow the actions of others without conducting independent analysis. Cultural norms also significantly affect attitudes toward risk and investment, with collectivist cultures leaning toward conservative decisions and individualist cultures favoring risk-taking. Media influence, particularly through sensationalized financial news, can lead to overreaction, panic, or irrational exuberance among investors. The study utilizes primary data collected from 120 individual investors through structured questionnaires and applies tools like percentage analysis, Likert scale, and chi-square tests to analyze the findings. It concludes that emotional and social influences frequently overshadow logical reasoning in trading behavior. The research highlights the importance of recognizing these factors to develop more informed investment strategies and minimize behavioral biases. While the study is limited to the Coimbatore district and based on convenience sampling, its insights offer valuable implications for both investors and policymakers aiming to improve financial literacy and decision-making in dynamic market environments.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Trading, Behavior, Investors, Factors, Impact

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: Quality of Work Life (QWL) refers to the overall quality of an employee's experience within their workplace, encompassing factors such as job satisfaction, work-life balance, safety, compensation, and opportunities for growth. A high QWL is essential for employee motivation, productivity, and organizational success. The research aims to understand the subjective experience of QWL, including elements like job security, performance, and employee satisfaction. It also examines how QWL influences aspects like job satisfaction, employee health and safety, work-life balance, and working conditions. The study aims to improve employee satisfaction and the overall well-being of individuals within an organization by providing a supportive and enriching work environment.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

QUALITY , WORKLIFE

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper presents the design and implementation of an offline voice assistant built on Raspberry Pi, capable of answering questions from user-uploaded documents without internet connectivity. The system leverages local speech recognition, natural language processing, and text-to-speech synthesis to facilitate seamless human-computer interaction in real time. Users can upload PDF, DOCX, or TXT files, and the assistant retrieves contextually relevant answers by using semantic search and a locally hosted language model. The project emphasizes data privacy, low-latency processing, and accessibility for low-resource environments. It is particularly suited for educational and rural applications where internet access is limited or unreliable.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Offline voice assistant, Raspberry Pi, document-based QA, speech recognition, local LLM, semantic search, Vosk, Piper TTS, data privacy, embedded AI

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Economic possibilities of fisheries industry in Siwan district: opportunities and challenges

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Economic possibilities of fisheries industry in Siwan district: opportunities and challenges

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Modern Agriculture Portal is an innovative machine learning-based system designed to empower farmers by providing accurate predictions and recommendations tailored to their needs. This system leverages various algorithms to predict suitable crops, recommend fertilizers, and forecast rainfall and yield, helping farmers make informed decisions. In addition to its predictive capabilities, the portal features a secure and real-time payment interface that enables farmers to list and sell their crops directly to consumers, thereby eliminating middlemen and improving profit margins. The integration of the Stripe API ensures safe, seamless transactions. The system also includes a dynamic chatbot which answering farmer queries related to crop selection, fertilization, and system navigation in a natural language format. To further assist farmers in planning and operations, the platform uses the OpenWeatherMap API to deliver localized weather forecasts, including temperature, humidity, and precipitation data. Agricultural news feeds are also incorporated via the News API, ensuring users stay updated with relevant policy changes, government schemes, and market trends.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Agriculture, Machine Learning, Crop Prediction, Fertilizer Recommendation, Weather Forecasting, Yield Prediction, Stripe API, Chatbot.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Air Canvas is an innovative digital art creation platform that utilizes advanced motion sensing, augmented reality (AR), and 3D visualization technologies. It enables users to create artwork in mid-air using hand or body gestures, eliminating the need for traditional physical canvases or screens. The system typically involves a combination of sensors (like cameras or depth sensors) that track user movements, translating them into digital strokes or shapes. Artists can draw, sculpt, and design in a three-dimensional space, allowing for more immersive and dynamic forms of art creation. The technology often includes real-time rendering, where the artwork can be viewed from different angles and in interactive settings, providing a sense of depth and perspective. This opens up new possibilities for both professional artists and casual users to explore creative expression in innovative ways, with applications spanning digital art, entertainment, education, and even therapeutic uses. Air Canvas also enables collaborative art-making in virtual environments, where multiple users can interact with the same digital canvas simultaneously, regardless of their physical locations. This makes it a powerful tool for remote collaboration, artistic exploration, and performance art.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Motion Sensing , 3D Visualization , Collaborative Art

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Creative Commons Attribution 4.0 and The Open Definition