Volume 13 | Issue 8 |

 Abstract

This study investigates the impact of a structured 12-week physical activity program on the span of attention in boys diagnosed with Attention Deficit Hyperactivity Disorder (ADHD), aged 11 to 14 years. Forty participants were randomly assigned into two equal groups: an experimental group that underwent a regular physical activity regimen and a control group that continued their usual routine. A tachistoscope-based test was administered pre- and post-intervention to measure attention span. Each test involved recalling alphanumeric characters flashed briefly on a screen, scored out of 50. Data were analyzed using paired and independent t-tests, and one-way ANOVA. Statistical analysis revealed significant improvement in the experimental group (t = 58.02, p < 0.001), while the control group showed a smaller yet statistically significant gain (t = 13.08, p < 0.001). The experimental group's post-test scores were significantly higher than the control group (t = 28.39, p < 0.001), and ANOVA results confirmed significant differences across all groups (F = 510.71, p < 0.001).

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 Keywords

: ADHD, attention span, physical activity, tachistoscope, cognitive function, children, intervention strategies

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With the rising depletion of natural river sand and growing environmental concerns, artificial sand (AS) has gained attention as a sustainable replacement in concrete production. This study investigates how Carbon Nanotubes (CNTs) and Steel Fibers (SFs) can work together to enhance the mechanical properties of high-performance concrete made entirely with artificial sand. Concrete samples were prepared using CNTs at 1%, 2%, and 3% by weight of cement, alongside a fixed 5% volume of steel fibers. Standard tests for compressive, flexural, and splitting tensile strength were conducted to evaluate performance. The results revealed a notable improvement in strength and post-cracking behaviour due to the hybrid reinforcement. The mix containing 2% CNTs offered the most consistent improvement across all metrics. However, at 3% CNTs, reduced workability and strength gains were observed, likely due to nanoparticle agglomeration. Steel fibers played a key role in improving crack resistance and enhancing flexural toughness across all concrete batches. Overall, the combination of CNTs and SFs proved to be a promising solution for developing sustainable, high-performance concrete using artificial sand.

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 Keywords

Carbon Nanotubes (CNTs), Steel Fibers (SFs), Artificial Sand (AS).

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Predicting house prices accurately is essential for stakeholders like buyers, sellers, and investors in the real estate sector. Conventional appraisal techniques often depend on personal judgment, which can result in variability. This study employs machine learning algorithms to examine diverse property features-- including location, size, and amenities--to improve the precision of predictions. Techniques such as linear regression, decision trees, and neural networks are evaluated for their performance. The results demonstrate that machine learning offers a reliable, data-driven solution for estimating property values.

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 Keywords

Index Terms--Real Estate Pricing, Machine Learning, Linear Regression, Decision Trees, Neural Networks

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This study explores the impact of social media on consumer buying behavior in the Fast-Moving Consumer Goods (FMCG) sector, with a specific focus on Karnataka, India. Given the rapid growth of digital platforms like Instagram, Facebook, WhatsApp, and YouTube, the research investigates how these channels influence brand discovery, trust, product engagement, and purchase decisions among consumers. Using a descriptive research design, data was collected from 400 respondents across urban, semi-urban, and rural districts. Statistical tools such as ANOVA and correlation were applied to examine platform-specific effects, consumer perceptions, and the role of promotional content. Findings reveal that Instagram and WhatsApp are particularly influential in driving impulse buying and peer-based recommendations, while YouTube and Facebook support brand research and reviews. The study also highlights significant demographic variation in digital engagement. This research fills key gaps by analyzing region-specific consumer behavior and providing strategic insights for FMCG marketers to optimize platform-based marketing in emerging markets.

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 Keywords

Consumer Buying Behavior, FMCG (Fast-Moving Consumer Goods), Digital Marketing, Influencer Marketing, Instagram Ads, Facebook Promotions

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 Abstract

Consumers have steadily moved to online portals as a result of advancements, and most have switched to online or hybrid ways. Customers are willing to embrace change and even watch for switching demands. Consumers in the modern world watch closely to get the most out of internet sellers. The increase in electronic sales, which is undoubtedly due to the advantages of the internet, such as the transformation of big, quick, and inexpensive communication and easy accessibility, has led to the rise of electronic commercial transactions. According to studies, the e-commerce industry is expanding steadily, and customers' increasing desire to purchase goods or shop online has significantly altered the worldwide market environment. This platform has enabled consumers to deal in goods and services without time barrier and geographical barriers. Examining the online commerce environment, it is clear that online shoppers also have a variety of behaviors, as E-commerce is an important asset. Due to fragmented online sales, since transactions are processed through the Internet, there is sparse inspection of products, quality verification cannot be verified. Various cases have been discovered where consumers have received different products, quality and quantity of products from what they actually ordered. E-market users should exercise more caution and act true to the necessary statements when engaging in e-commerce to ensure their safety.

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 Keywords

Business, Consumer, E- Commerce, Government, M-Commerce, Online Shopping, Unfair Contract.

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This study aims to analyse the psychological characteristics of inter-collegiate male athletes who compete in six sports: Volleyball, Basketball, Hockey, Badminton, Kho-Kho, and Kabaddi. Using the Sports Personality Questionnaire (SPQ-20), the study examines two crucial psychological variables: Fear of Failure and Managing Pressure. A total of 230 athletes were chosen using Stratified Random Sampling. The data were analysed using ANOVA and Scheffe's post hoc test. The level of confidence was set to test significance is 0.05. The results reveal that Hockey players show significantly higher levels of controlling Fear of Failure than other players. However, Kabaddi and Kho Kho players are also less prone to Fear of Failure than volleyball players. Further, the results show that Basketball players have less Managing pressure than Hockey and Kabaddi players. In addition to that, Hockey players have significantly better Managing Pressure than Volleyball players. In conclusion, it is observed that players of Hockey, Kabaddi, and Kho-Kho have better control over Fear of Failure and Managing Pressure. The study highlights the importance of psychological training in enhancing athletic performance and offers recommendations for coaches and policymakers to develop personalised interventions for athletes.

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 Keywords

Psychological qualities, SPQ-20, Fear of Failure, Managing Pressure.

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 Abstract

Theesri Pahachan—Sangharsh, Sveekriti Aur Navjeevan

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Theesri Pahachan—Sangharsh, Sveekriti Aur Navjeevan

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This research paper explores the latest innovations and evolving perspectives in direct marketing, focusing on how technological advancements and changing consumer expectations are reshaping the field. Traditionally reliant on methods such as direct mail and telemarketing, direct marketing has shifted toward more personalized, data-driven, and digital-first strategies. The study highlights key innovations including the use of artificial intelligence (AI), machine learning, big data analytics, automation, and CRM systems, which enable businesses to target audiences more accurately and efficiently.A significant emphasis is placed on omnichannel marketing and the growing importance of first-party and zero-party data as privacy regulations limit the use of third-party data. The study also examines how tools like predictive analytics, interactive content, and augmented reality (AR) are enhancing customer engagement. Ethical data use, transparency, and consumer trust emerge as critical factors influencing modern direct marketing strategies.Using a mixed-methods approach, this paper combines quantitative data and qualitative insights to present a comprehensive view of current practices and future directions. The findings suggest that successful direct marketing now depends on the integration of innovative technologies with customer-centric, consent-based approaches that prioritize value and trust in long-term relationships.

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 Keywords

Direct Marketing; Recent Trend; Telemarketing; Social Media Marketing.

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Abstract AI and Blockchain are two of the most promising technologies of the 21st century. They both have the potential to revolutionize various industries and bring about significant changes in the way we live and work. However, for AI and Blockchain to reach their full potential, they must be implemented in a trustworthy and secure manner. This is where the combination of AI and Blockchain comes in. By using Blockchain technology to secure and validate the data used to train AI systems, we can ensure that these systems are trustworthy and reliable. Additionally, by using AI to secure and validate Blockchain transactions, we can ensure that these transactions are safe and secure. Together, AI and Blockchain have the potential to create intelligent systems that are both trustworthy and secure.The integration of AI and blockchain can also enable new use cases such as decentralized autonomous organizations (DAOs) which can take decisions autonomously by using AI, and Smart contracts which can automatically execute the terms of a contract when certain conditions are met. This can bring about improvements in transparency, immutability, and accountability in various industries such as finance, healthcare, and supply chain management. However, the integration of AI and blockchain also raises important ethical and legal considerations, such as privacy, bias, and accountability. Therefore, it is crucial to continue researching and developing best practices for the implementation of AI and blockchain in order to ensure their responsible and effective use.

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 Keywords

Keywords : Artifcial Intelligence , Blockchain, security concept

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This study investigates investor behavior towards mutual fund investments in selected districts of Karnataka, focusing on how demographic, behavioral, and technological factors influence repeated investment decisions. With a sample of 400 mutual fund investors, the research applies descriptive statistics, reliability tests, ANOVA, and homogeneity of variance to analyze the data. The findings reveal that factors such as age, income, investment experience, and geographic location significantly affect investors' financial choices and attitudes, while digital tools, trust in companies, and goal-based planning further encourage consistent investments. The study also highlights a growing awareness and positive attitude among investors toward mutual funds, suggesting the need for improved financial literacy, customized investment platforms, and simplified regulatory frameworks to enhance participation and investor confidence.

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 Keywords

Mutual Funds, Investors Awareness, Investors Attitudes, Investors Behavior, Financial Literacy and Demographic Factors.

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