Volume 12 | Issue 1 |

 Abstract

The current study focused on the impact of social media usage on students' academic achievement in mathematics. The descriptive study was based on two research hypotheses using an unknown senior secondary student population. One hundred and twenty-one pupils from Avinash Junior College in Secunderabad were selected randomly. A four-point Likert rating system, which was part of the self-developed "Influence of Social Media on Academic Achievement in Mathematics" tool, was used to gather the students' opinions regarding social media usage and mathematical academic achievement. We used t-test and other statistical measures including the Product Moment Correlation Coefficient (1) to determine the type of relationship between social media usage and math academic success and (2) to find the relationship between students' actual usage of social media and their opinions on social media usage. The study discovered that social media's addictive qualities have a detrimental effect on students' academic achievement. A lack of time management leads students to spend more time on social media, which negatively impacts their mathematical performance. There is a negative correlation between students' actual usage of social media and their opinions on social media usage. So, students are unable to implement what they think actually about social media due to its attractiveness. Ultimately they are diverting towards too much usage of social media though they know the fact that it spoils their academic scores in mathematics. From random samples from the unknown population, it was found that the average usage of social media by senior secondary students is 132 minutes and the average mark in math tests is 72. Also, we found that the majority of students are spending on Instagram, YouTube, WhatsApp, and Google search engines. The present research results suggest that all educational institutions should establish regulations that limit or monitor students' use of social media, with parental involvement. Additionally, the government should monitor cyberspace and prohibit websites that are harmful to students' mental health.

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Keywords: academic performance, influence, social media, mathematics, senior secondary or intermediate students.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Information Mining may be a procedure that's performed on a huge database for extricating covered up designs by utilizing combinational techniques from measurable examination, machine learning and database innovation. Advanced, restorative information mining is an amazingly critical inquiry about the field due to its significance within the improvement of different applications in prospering healthcare spaces. Whereas outlining the passings happening around the world, the cardiac infection shows up to be the driving cause. The recognisable proof of the conceivable outcomes of cardiac illness in an individual is complicated tests for therapeutic professionals since it requires a long time of involvement and a serious therapeutic test to be conducted.

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Machine Learning, Data Mining, Heart Disease, Diabetes, Kidney Disease, Logistic Regression, Naive Bayes

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The aim of this study is to create and assess a herbal cosmetic face pack that uses natural components to promote glowing skin. These days, everyone aspires to have lovely, light skin. Because natural medicines are thought to be safer and have less adverse effects than synthetic ones, they are more widely accepted. By allowing blood to flow through the veins in our faces, they both assist us in taking care of our skin and demonstrate its value. The study's findings provided scientific confirmation that a herbal face pack had the capacity to effectively brighten skin. Because of the entire study's beneficial effects on people, it can be used to support claims made about products.

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Herbal face pack, Natural ingredients, Orange peel, Evaluation.

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Creative Commons Attribution 4.0 and The Open Definition

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Green technology is potentially important concept which plays a role to achieve the global sustainable development. Today the world needs a new serious innovation, which would lead for a better environment. The basic objective of the study is to realize the requirement of innovative green products for today's global market and also try to identify the negative impact of non-green products. For the purpose of the study, a particular city (Coimbatore city - Tamil Nadu State) has been selected, collected required data from various available resources, analysed with suitable statistical methods and identified facts. The study reveals that the so called green products or organic products has more positive impact to the mankind's and helps to eradicate certain issues pertaining to green technology. It helps for the sustainable development. The study also throws a light on future research opportunities.

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Green product

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract: As India experiences rapid advancements in healthcare digitization, the need for secure and efficient medical data management solutions becomes paramount. This research article presents a comprehensive review of the applications, challenges, and future prospects of blockchain technology in the context of medical data management in India. Examining the unique challenges and opportunities within the Indian healthcare landscape, this article explores the potential of blockchain to revolutionize data security, interoperability, and patient-centric healthcare delivery.

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Electronic Health Records, Blockchain, IOMT,Challenges,Remote Monitoring Devices

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Creative Commons Attribution 4.0 and The Open Definition

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Recent progress in deep learning and machine learning (ML) technology has led to notable developments in language, playing a crucial role in communication, particularly in engaging with deaf individuals to stimulate thought and emotion. A novel approach has emerged to connect language with spoken/written expressions through the application of deep learning methods. This paper emphasizes the creation of hand gestures that align with unclear sentences, aiming to enhance communication efficiency. Additionally, we underscore the significance of the introductory sentence in each step of the design process. This focus not only enhances the precision of generated characters but also facilitates the incorporation of spoken/written concepts and recommendations.

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Creative Commons Attribution 4.0 and The Open Definition

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Deep Learning, Specialized Sign Language, Machine Learning (ML).

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Creative Commons Attribution 4.0 and The Open Definition

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This research study investigates the intricate relationship between stress and sleep disturbances among adults. Sleep is a fundamental aspect of human well-being, and its disruption can have profound effects on physical and mental health. Stress, a prevalent facet of modern life, has been linked to sleep problems, but the specific mechanisms and their impact on different age groups within adulthood remain less explored. Tools used for this research are the Perceived Stress Scale (PSS) and Sleep Quality Scale (SQS). There is a negative correlation between sleep and stress was proved to be significant. The results revealed a significant correlation between stress levels and sleep disturbances, with higher stress levels consistently associated with poorer sleep quality.

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stress, sleep, adulthood

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Creative Commons Attribution 4.0 and The Open Definition

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In Internet of Things (IoT) networks, every device that is connected to a network should ideally be able to communicate with other devices connected to the network. The availability of intermediary nodes in the network and their proper operation are necessary for node connectivity. To increase the connectivity, the bandwidth and spread factor of each relay should be assigned maximum. As each link will have its respective time of transmission, the optimization should minimize the transmission time thus minimizing energy consumption. In this work an optimization framework using Opposition based Marine Predators Algorithm (OMPA) is designed for energy efficiency and long-term communication in IoT networks. The fitness function is derived in terms of bandwidth, spread factor, total transmission time and energy consumption ber bit. Then relay nodes are selected based on maximum fitness function. By simulation results, it has been shown that OMPA-OF achieves maximum energy efficiency and packet success rate with reduced packet loss rate

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Creative Commons Attribution 4.0 and The Open Definition

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Internet of Things (IoT) , Opposition based Marine Predators Algorithm (OMPA), energy efficiency, connectivity

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Creative Commons Attribution 4.0 and The Open Definition

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SpeedLock, an innovative project, enhances safety in restricted areas using RFID-enabled speed control. The ESP8266 microcontroller orchestrates communication between the RFID reader and DC motor, ensuring compliance with speed limits. Authorized vehicles with RFID tags gain access, while the system reduces speed for unauthorized or speeding vehicles. Real-time monitoring via Wi-Fi enables remote access to logs, ensuring compliance with safety regulations. SpeedLock is scalable, prioritizes safety measures, and integrates seamlessly for comprehensive security in designated zones.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Micro controller unit; RFID Module RFID Cards, DC Motor.

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Creative Commons Attribution 4.0 and The Open Definition