Volume 13 | Issue 3 |

 Abstract

This paper presents a comprehensive sports nutrition plan tailored to the needs of a 20-year-old male hockey midfielder, with a focus on enhancing performance and supporting recovery. Utilizing anthropometric data (68 kg body weight, 27% body fat, 49.6 kg lean body mass) and the Cunningham equation, the athlete's total energy expenditure was calculated at 3376.8 calories per day. The proposed diet plan adjusts macronutrient intake across pre-season, in-season, and off-season phases to align with varying training and competition demands. Key recommendations include carbohydrate intake ranging from 476g to 612g, protein from 136g to 204g, and fat from 68g to 75g daily, depending on the season. The plan emphasizes hydration, micronutrient intake, and strategic meal timing, with a sample daily meal schedule provided. By integrating periodized nutrition principles, this study offers a practical, evidence-based approach to optimizing dietary strategies for hockey players, aiming to improve endurance, strength, and recovery while supporting long-term health and injury prevention.

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 Keywords

Sports Nutrition, Hockey, Macronutrients, Periodization, Diet plan, Performance, Recovery, Midfielder

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 Abstract

This article explores the transformative impact of the Internet of Things (IoT) in modernizing library services. By integrating innovative technologies such as RFID tags, sensors, and AI-powered systems, libraries are evolving into more efficient, accessible, and secure spaces. IoT applications streamline resource management, enhance user experiences through self-service kiosks and automated navigation, and optimize energy consumption with smart lighting and climate control. The study also highlights the challenges of IoT implementation, including privacy concerns, staff training, and financial constraints. Emphasizing real-world applications and case studies, this article provides insights into how libraries can effectively adopt IoT to create smarter, user-centric environments.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Internet of Things (IoT), Smart Libraries, RFID Technology

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study looks into the widespread stereotypes that affect men's mental health in Vadodara India. As people start to see how crucial mental health is, this research wants to understand how traditional ideas about being a man shape how men show their feelings and ask for help. The study used a mix of methods blending numbers from surveys with deeper insights from talking to people. It gathered answers from 60 men between 19 and 55 years old. The research used snowball sampling and online surveys to see how society's expectations have an impact on men's mental well-being. The results show that many men stick to the idea of being tough and not showing emotions. Most men who answered think guys don't express themselves much, and they're split on whether it's okay for men to cry. The study points out things that stop men from seeking help, like feeling judged by society and worrying about looking weak. Common thoughts include thinking physical health matters more than mental health, and believing men should never be scared. The research highlights the many problems men face when trying to show they're vulnerable or get help for their mental health. Even though more people know about mental health now old-fashioned ideas are still around making it hard to talk . The study suggests we need to do things to challenge harmful stereotypes, teach people about mental health, and create places where men feel safe to share their feelings.

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 Keywords

Mental health, Stereotypes, Masculinity, Emotional Expression, Help-Seeking, Social Norms, Vadodara

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Financial literacy is a key determinant of financial stability and economic empowerment, particularly for individuals in low-income communities who rely on microfinance services. While microfinance provides access to financial resources, the lack of financial literacy often leads to ineffective financial management, over-indebtedness, and business failures. This study examines the role of training in microfinance as a tool for promoting financial literacy and improving financial decision-making among microfinance clients. Using a mixed-methods approach, this research combines primary data from surveys conducted among 500 microfinance clients and secondary data from reputable financial institutions and scholarly articles. The study analyzes the impact of financial literacy training on loan repayment behavior, savings patterns, business performance, and overall economic well-being. Empirical evidence suggests that clients who receive structured financial training demonstrate improved financial planning, better debt management, and higher savings rates compared to those without training. Graphical analysis reveals a notable shift in financial literacy levels post-training, with a 25% reduction in clients classified as having low financial literacy, and a 15% increase in those categorized as highly financially literate. Additionally, loan repayment rates among trained clients improved by 20%, reducing default rates and enhancing financial sustainability for both borrowers and microfinance institutions. The study also highlights the gender-specific impact of financial literacy training, showing that women entrepreneurs experience significant benefits, including greater financial independence and improved business outcomes. Despite its positive impact, the study identifies key challenges such as accessibility constraints, variations in training effectiveness, and the need for more scalable and cost-effective training models. The findings underscore the necessity for integrating financial literacy training as a mandatory component of microfinance programs, leveraging digital platforms to enhance accessibility, and developing gender-sensitive training modules to maximize impact. The study concludes that financial literacy training is a critical enabler of financial inclusion and sustainable economic growth. Policymakers, microfinance institutions, and development organizations should prioritize structured financial education programs to empower individuals with the knowledge and skills required to make sound financial decisions, improve their livelihoods, and contribute to broader economic development.

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 Keywords

Keywords: Microfinance, Financial Literacy, Training Programs, Loan Repayment Behavior, Financial Inclusion, Entrepreneurship Development, Economic Empowerment, Women Entrepreneurs, Debt Management, Savings Behaviour.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper presents an approach for machine learning to recognize fake messages. The proposed method uses a combination of NLP techniques [natural language processing] and monitored learning algorithms to classify news articles because the article is fake/True. The specified organized data records for training and testing the model consist of a combination of actual and fake news articles. The results shows that the proposed method achieves a high level of accuracy and that F1 score detection records false messages. The spread of fake news on digital platforms is a key issue in today's information-driven world. This fake news recognition system uses machine learning and natural language processing technology (natural language processing) to classify news articles as real or fake. The system analyzes textual content and checks for reliability using language patterns and cross-source sources. Learning algorithms such as integrated monitored NA- and Bayes, Support Vector Machines (SVMs), or deep learning models improve accuracy when identifying misinformation. This solution aims to support users to distinguish trustworthy information by reducing the spread of fake messages.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Fake-News, ML learning, Real Time Fake News Detection, Extractions, Preprocessing, Natural Language Processing, Supervised learning, Classification, Organized datasets, etc.

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Creative Commons Attribution 4.0 and The Open Definition

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This paper presents a comprehensive high-performance plan designed to prevent common lower body injuries in youth field hockey players. Through an extensive literature review, the study identifies key risk factors and injury mechanisms specific to the sport, such as ankle sprains, knee ligament injuries, and muscle strains. The proposed plan integrates evidence-based strategies, including targeted warm-up routines, strength and conditioning exercises, and technique instruction, tailored to the developmental needs of young athletes. Structured across pre-season, in-season, and off-season phases, the program emphasizes progressive skill development and injury prevention. Key components include fitness testing, core stability exercises, coordination and agility drills, and position-specific strength training, all addressing the unique physical demands of field hockey. Grounded in evidence-based practices, the plan highlights age-appropriate training and position-specific requirements to enhance player safety and performance. By implementing this strategy, coaches and trainers can create a safer playing environment, reduce injury incidence, and support the long-term athletic development of youth field hockey players. This work offers a practical, evidence-informed framework to improve health and performance outcomes in this population.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Youth field hockey, Injury prevention, Lower body injuries, Training program, Strength training, Conditioning, Sports performance, Athlete safety.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper presents a hybrid approach to image forgery detection that combines Error Level Analysis (ELA) with Convolutional Neural Networks (CNNs). We introduce a novel framework that leverages the strengths of traditional forensic techniques and deep learning to improve detection accuracy. Our method incorporates several architectural improvements including residual connections, attention mechanisms, and advanced feature fusion techniques that integrate ELA-derived features with CNN-extracted features. The proposed model achieves 98\% accuracy on the CASIA2 dataset and provides precise localization of tampered regions through a novel sliding window approach. The hybrid system offers a comprehensive solution for digital image forensics, combining robust detection capabilities with user-friendly visualization tools. Experimental results demonstrate the effectiveness of our approach compared to existing methods, particularly in identifying sophisticated manipulation techniques that may elude either ELA or CNN methods alone.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

image forgery detection, error level analysis, hybrid approach, convolutional neural networks, deep learning, feature fusion, tampering localization, digital forensics

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The real estate industry has undergone a significant transformation with the rise of digital marketing. Traditional sales strategies are now complemented or even replaced by online platforms, social media campaigns, search engine optimization (SEO), and data-driven marketing tactics. This study examines the impact of digital marketing on real estate sales, focusing on the role of online advertising, virtual property tours, social media engagement, and customer relationship management (CRM) tools. The research highlights how digital strategies enhance property visibility, improve lead conversion rates, and foster stronger customer relationships. Additionally, the study explores challenges such as data privacy concerns, competition, and the evolving preferences of digital-savvy buyers. Through an in-depth analysis of market trends, technological advancements, and industry best practices, this research provides valuable insights for real estate professionals seeking to optimize their marketing strategies and drive sales growth in an increasingly digital marketplace.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Digital Marketing, Real Estate Sales, Social Media Advertising, SEO (Search Engine Optimization), PPC (Pay-Per-Click) Advertising, Lead Generation, Email Marketing, Content Marketing, Virtual Tours, Google Ads for Real Estate, Influencer Marketing, Mobile Marketing, Video Marketing, Market Trends & Insights, Conversion Rate Optimization (CRO), Real Estate Branding, Local SEO for Realtors, Digital Transformation in Real Estate

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The aim of this paper is to establish an algorithm for encryption and decryption of a message based on symmetric key cryptosystem involving Genetic Algorithm and Chemical Periodic Table. In the planned algorithm we use genetic crossover, mutation technique, ASCII 7-bit table and chemical periodic table.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Encryption, Decryption, Genetic Algorithm, Crossover, Mutation and Chemical Periodic Table.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Human have experienced number of changes in economics, socio- culture and in its demand, also in education. Process of changing educational structure with social demand are never ending process. As per growth and values of educational structure we see the aims and objectives are broken and remolded. These changes are rapid to cover all parts of system of education with impact of globalization, liberalization and privatization. The young generation obviously feels shortage of employment and dissatisfied in this big world of market without entrepreneur skills and strategies. We also see many companies open and are closed frequently in number as they lack clear esteem. In this need so as to sustain in business we need to blend education with entrepreneurship skills and strategies. Many Entrepreneur strategies and skill are actually various angles to have insight about the different problems and also various point of views which will yield their roots to bring changes in these areas. Curriculum and development, renewal of knowledge and upgradation of various corner of education system will be possible after introducing entrepreneur skills and strategies. This is must that entrepreneurship has to be a part of education now to bring financial stability and maintain the brand quality. The combination of entrepreneurial education and business mindset can create various types of skills, such as strategic planning and financial literacy and routine skills, including time management, analytical skills, environmental monitoring, problem-solving, decision-making, goal setting, customer relations, negotiating, growth management, and compliance with regulations.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Entrepreneur Skills, Entrepreneurship education, Productivity, Innovative idea, Soft skills

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Creative Commons Attribution 4.0 and The Open Definition