Volume 12 | Issue 7 |

 Abstract

Robots are increasingly being used in healthcare delivery and their effectiveness can be determined through understanding their personalities. Nonetheless, healthcare human robot interaction (H-HRI) has not had a systematic or comprehensive grasp of personality. In the past Healthcare has presented benefits for humanoid robots. However, there is no systematic and comprehensive understanding of personality in health care human robot interaction (H-HRI). This paper examines some common scenarios in medicine and provides an exhaustive way to measure trust. Such a proposed paradigm highlights the importance of unambiguous communication among doctors as well as their expectations regarding robot intervention into a task that is centered on humans. Additionally, it shows how patients receive help from robots. Finally, suggestions are made that aim at improving patient's confidence because the former contributes towards improved therapy efficiency levels. It Briefly Discusses Five Character Traits Also Personality Traits. These entail human-robot interaction factors.

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 Keywords

Health, Personality, Character, Trust

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 Abstract

Plantar fasciitis is a repetitive injury which causes micro trauma to the attachment of the plantar aponeurosis at the medial calcaneus of the foot. This condition is most prevalent among athletes involved in running sports, but can also occur in a sedentary individual. AIM: - The aim of the study is to evaluate the biomechanical approach of correcting plantar fasciitis in runners. OBJECTIVE: To evaluate the biomechanical approach of preventing plantar fasciitis in runners by using the Foot and Ankle Disability Index Score and Sports Module. METHOD: - 10 male Subjects were selected from Sports Academy age between 18- 24 who satisfied the inclusion criteria. Foot and Ankle Disability Index Score and Sports Module was measured as a baseline assessment. Then structured exercise was given to each individual for a period of 2 months. Re assessment was taken. RESULT: The result showed the significant difference in pre and post scores. CONCLUSION: The concluded that Biomechanical approach is effective in preventing and correcting plantar fasciitis in Runners.

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Biomechanical Approach, Plantar Fasciitis, Foot Ankle Disability Index

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In today's fast-paced world, maintaining holistic health and wellness is paramount, especially among college students who often face high levels of stress and academic pressure. This study examined the effects of Aerobic Exercise and Yogic Asanas practices on the physical and physiological well-being of Participants. To achieve the purpose, a total of 69 male subjects that ranged between 17-21 years of age were selected on a random basis. They were divided equally into three groups of 23 subjects. The subjects in two groups underwent 12 weeks of aerobic exercise and yogic asanas intervention program and a third group served as the control group. The pre and post-test data of sit and reach, stork stand, resting pulse rate, and 12-minute run and walk tests were collected from the subjects. The paired sample t-test was used to find out the significant difference between the pairs. It was concluded that the aerobic exercise and yogic asanas intervention program practices significantly improved flexibility, balance, resting heart rate, and cardio - respiratory endurance among the two experimental group subjects. Further, no significant improvements in control group subjects were determined due to non-participation. Through this present study and a review of relevant literature and empirical results of earlier studies, this presentation highlights the potential benefits of such interventions in improving the physical variables and promoting holistic health and wellness among college students.

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 Keywords

Aerobic Exercise, Yogic Asanas, Physical and Physiological Variables

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The implementation of blockchain technology to decentralize social media networks (DSN) is causing a substantial shift in online interactions. This study looks into the user experience and design concepts underlying DSN, with a focus on OpenWave, a novel platform recently developed. DSN eliminates intermediaries and distributes data across multiple nodes, resulting in improved privacy, transparency, and greater control for users. However, this creates distinct complications. such as complex user interfaces, limited features to promote usability, and steep learning curves that impede their widespread adoption. To improve overall user interaction within decentralized social media platforms despite the obstacles identified above, this research identifies commonplace problems faced alongside personal preferences uniquely designed towards producing tailored principles aimed at crafting more engaging but simplified UI/UX experiences toward achieving optimal benefits from using DSN structures while creating new block-chain based solutions crafted through integrating novel UX paradigms able to revolutionize traditional norms associated with typical usage patterns frequently attributed digital innovations combining essential human-centered designs conjoined around analyzing existing approaches so far employed concerning blockchain-based systems optimizing vital changes promoting exceptional user experience outcomes leading to better adoption rates encouraging developers to adopt sustainable standards aiding continued improvement whenever implementing the conventions advanced herein providing holistic approach guidelines planed out comprehensive procedures championing strategic action plans fashioned towards actualizations intended goals specializing advantages inherent in resilient self-owned infrastructure shown capable growth, OpenWave's suggested design and implementation encapsulate key principles by demonstrating DSN ability to provide a secure, user-centric alternative to traditional social media platforms. The findings provide a hopeful picture for the future of DSN, highlighting opportunities for increased privacy functions, scalability solutions, greater correlation with emerging technologies, and increasing interoperability.

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 Keywords

Decentralized Social Media, User Experience Ethereum, Smart Contracts, Blockchain, Dapp, IPFS.

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Cyberbullying, the use of electronic devices to bully others, has become a prevalent issue globally. Identifying and preventing cyberbullying is crucial to protect individuals from its harmful effects. Cyberbullying is a pervasive and harmful phenomenon, causing significant emotional distress and psychological damage to victims. Cyberbullying has become a major issue in today's society, especially among young individuals who are constantly using social media platforms. Machine learning (ML) algorithms offer a powerful tool for automating cyberbullying detection to mitigate this issue effectively. This paper explores the potential of machine learning algorithms to automatically detect cyberbullying in online platforms. In order to address this problem, this paper proposes a machine learning-based approach for detecting instances of cyberbullying in online platforms. By leveraging the power of machine learning algorithms, we aim to accurately identify and classify cyberbullying behaviour, leading to more effective mitigation strategies and interventions. We discuss various algorithms and their applications in text analysis, focusing on their strengths and weaknesses in identifying cyberbullying content. We also delve into the challenges and ethical considerations associated with employing machine learning for this purpose. We propose a method for detecting cyberbullying using machine learning algorithms. We discuss the challenges associated with accurately identifying cyberbullying behaviour and how machine learning can be leveraged to effectively detect and prevent such behaviour. We present an experimental evaluation of our proposed method and demonstrate its effectiveness in detecting cyberbullying.

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Cyberbullying, SVM, NB, Random Forest, Machine Learning

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Coronavirus first emerged in a man on December 31, 2019, in Wuhan, China. Authorities identified the virus as being transmitted through a seafood market in Wuhan. As the virus spread to nearly all countries worldwide, the World Health Organization classified COVID-19 as a pandemic on 11 March 2020. This contagious virus caused severe distress among people globally. During this time, effective risk communication became the utmost significant challenge for health officials to contain and prevent the virus's spread. Many believe that newspapers in India play a crucial role during such crises. Therefore, newspapers should provide facts and figures and information on how to prevent infection and avoid spreading the virus. This research explores how Telugu newspapers in Telangana covered the news about the coronavirus pandemic and whether they provided preventive measures to help prevent its spread. We analysed the coverage of the coronavirus pandemic in Telugu newspapers using content analysis of 1,633 articles published in two Telugu newspapers between 25 March 2020 and 14 April 2020. The articles consistently published facts and figures about coronavirus-positive cases, deaths, and active cases. These newspapers often used government authorities as sources of information and published significant news on preventive and control measures. This content analysis revealed that Telugu newspapers published many articles on preventive and control measures. However, they tended to focus more on the activities of officials, politicians, and celebrities rather than emphasising the impact on marginalised sections of society.

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Content analysis, COVID-19, Telugu newspapers, Articles, Health risk communication.

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The convergence of nanotechnology and food safety marks a cutting-edge advancement with transformative potential. This paper delves into the integration of nanotechnology within the food safety sector, highlighting innovations with significant impacts on food manufacturing, processing, and packaging. Central to this integration is the manipulation of materials at the nano-scale, particularly the incorporation of nanoparticles with antimicrobial properties into food packaging materials. Silver and copper nanoparticles, in particular, exhibit remarkable antimicrobial effects, actively inhibiting pathogen growth and thereby extending the shelf life of food products. As consumer concerns about food quality and health benefits increase, the demand for nanoparticle-based materials in the food industry has surged due to their stability at high temperatures, proven non-toxicity, and versatile applications in additives, nutrient delivery, and packaging enhancement. This paper categorizes nanotechnology applications in the food sector into two primary groups: food nano-structured ingredients and food nano-sensing. The former includes additives, nutrient carriers, anti-caking agents, antimicrobial agents, and packaging material improvements, while the latter is used for quality and safety evaluation.

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Nanotechnology, Nanoparticles, Food packaging, Antimicrobial properties, Food safety

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Robotic Process Automation (RPA), implemented through UiPath, offers a transformative solution for automating data entry tasks into dynamic webpages. This abstract explores the integration of RPA technology to streamline data input processes, particularly focusing on scenarios where webpages exhibit dynamic elements such as changing fields or layouts. UiPath's capabilities enable efficient automation through robust features like advanced selectors, dynamic input handling, and error management protocols. By leveraging UiPath's intuitive design interface and automation workflows, organizations can achieve significant operational efficiencies, reduce manual errors, and enhance data accuracy in dynamic web environments this Abstract underscores the strategic advantages of RPA in overcoming complexities associated with data entry into dynamic webpages, ultimately contributing to improved productivity and enhanced business outcomes. This abstract highlights the transformative potential of RPA in streamlining data entry processes across dynamic web interfaces, ultimately fostering improved business agility and performance

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 Keywords

Selectors, Data Scraping, Screen Scraping, Dynamic Selectors, Web Automation, Data Entry Automation, Anchor Base Activity, Type into Activity, Click Activity

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Mulching, Pre-Emergence Herbicide, Wheat Performance, Growth attributes

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This research analyses survey data from 384 respondents to understand perceptions of the judiciary's role in interpreting and enforcing Article 21 of the Indian Constitution, examining differences based on gender, age, professional background, and experience. Key findings reveal significant variations across demographic groups. For instance, 57 males and 45 females strongly agreed that the Maneka Gandhi v. Union of India judgment expanded Article 21's scope. Respondents under 20 years old showed 18 agreements and 15 strong agreements on the alignment with international norms, while the 20-30 age group had 25 strong disagreements, indicating mixed views within this age group. The right to privacy was deemed the most significant judicial development under Article 21, with law students (25), academics (25), and legal researchers (33) predominantly agreeing on its importance. The influence of international norms on Article 21 was strongly agreed upon by 24 law students and 18 practicing lawyers. The Navtej Singh Johar v. Union of India case was notably recognized by 20 respondents with over 10 years of experience as a key instance of judicial independence. Recent judgments on Article 21 have greatly influenced Indian jurisprudence, with males showing 51 agreements and 41 strong agreements, while females displayed 40 agreements and 40 strong agreements. Public interest litigation was highly regarded by respondents under 20 years old, with 19 strongly agreeing on its significance. This study highlights the diverse perspectives on the judiciary's role in shaping the interpretation and enforcement of Article 21 across different demographic groups.

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 Keywords

Article 21, Judiciary Perception, Indian Constitution, Legal Interpretation, Survey Analysis

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