Volume 12 | Issue 7

 Abstract

: Heart disease is a leading cause of mortality worldwide, necessitating effective and timely diagnosis. This study presents a novel approach to predicting heart disease using advanced machine learning techniques and data-driven insights. The system is designed for the identification of heart disease, leveraging the performance of various machine learning classifiers on selected features. Predictive models including Decision Tree (DT), Naive Bayes (NB), Random Forest (RF), and Support Vector Machine (SVM) are employed to identify heart disease. The effectiveness of these classifiers is evaluated to determine the most accurate method for heart disease detection. Additionally, the system provides patients with information about the nearest doctor, facilitating rapid access to medical diagnosis and treatment. This integrated approach aims to enhance early detection and intervention for heart disease, ultimately improving patient outcomes and reducing the burden on healthcare systems.

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Heart disease, machine learning, prediction, identification, Decision Tree, Naive Bayes, Random Forest, Support Vector Machine, data-driven insights, early detection, medical diagnosis, healthcare systems.

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The tremendous issues of handling the large flood of data have been brought about by the cloud computing field's fast development. By 2020, 247 EB will be achieved by data analytics and IoT-based applications, according to Cisco's Global Cloud Index. Load Managing strategies are critical in tackling cloud environments' data overflow. The study promotes Round Robin Load Managing and highlights how well it manages data overflow. Based on set policies, load managing techniques such IP hash, weighted round-robin, least connections, and round-robin allow the effective allocation of incoming traffic across active targets. One important remedy that is emphasized is cloud load management, which uses software-based techniques to keep an eye on the target's health inside a cluster. In order to avoid data loss and service outages, it foresees and manages unexpected increases in traffic, rerouting it to servers that aren't as busy. The book offers explanations on how the load distribution techniques are used, and a Pythonexample of the Round Robin algorithm.

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Cloud computing , Load Managing, Round-robin , Hardware-based load managing, Software-based Load Managing .

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The Agenda 2030 for Sustainable Development, which was overwhelmingly adopted in 2015 by all UN Member States, presents fresh opportunities and entry points for closing the gap between human rights and development. It consists of 231 distinct indicators, 169 targets, and 17 Sustainable Development Goals (SDGs). Sustainable development acts as the general foundation for guiding both national and international development initiatives. To make the world a sustainable place to live, the United Nations launched the Sustainable Development Goals at the General Assembly in 2015. India was a key contributor to the creation of the 2030 Sustainable Development Agenda of the United Nations, and India's development is crucial to global progress toward the SDGs.In 2018, NITI Aayog took a step forward by releasing the SDG India Index. India has also embraced the SDGs as a means of advancing development objectives in several economic sectors. As part of the ongoing research, an attempt has been made to analyse all the 16 SDGs, National Indicators developed by NITI Aayog, and various initiatives the Indian government has launched to reform and improve the development paradigm, the research paper also focuses on Himachal Pradesh progress toward Agenda 2030 and compare the performance of Himachal Pradesh and India concerning various indicators of Sustainable Development Goals.

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SDGs, Agenda 2030, National Indicators, NITI Aayog.

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Key Words: Metacognition, Marital Adjustment, MCQ, DAS

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This study examines the perceptions of secondary school teachers towards the application of computers in the teaching-learning process. The objectives were to classify teachers' perceptions, analyze these perceptions in specific areas (Impact of IT, Usefulness for Students, Productivity for Teaching, Teacher's Interest and Acceptance, and Support and Resources for Implementation), and investigate the influence of variables such as gender, locality, and teaching experience on these perceptions. A random sample of 100 secondary school teachers from West Godavari District was selected, and data were collected using a self-constructed questionnaire with 40 items across five components. The findings revealed that 21% of teachers have high perceptions, 55% have average perceptions, and 24% have low perceptions regarding the use of computers in the teaching-learning process. The availability of support and resources was perceived as the most significant factor, followed by the usefulness for students, the impact of IT, teachers' interest and acceptance, and productivity for teaching. Significant differences were observed in perceptions based on gender, with male teachers showing more positive attitudes compared to female teachers. Urban teachers exhibited more favorable perceptions than rural teachers. Additionally, teachers with more than 20 years of experience had significantly higher perceptions compared to those with less experience, although no significant difference was found between teachers with below 10 years and those with 11 to 20 years of experience. This study highlights the need for targeted support and professional development to bridge the gaps in perceptions and enhance the integration of computers in education, with a particular focus on gender, locality, and experience-based disparities.

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Perceptions, Secondary school teachers, Computers, gender, locality, and teaching experience

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Abstract Food is a fundamental aspect of human life and culture. It provides nourishment, sustenance, and pleasure to people around the world. Food is deeply intertwined with culture. Different regions and communities have unique culinary traditions, ingredients, and preparation methods that reflect their history, values, and identity. Food is not only a vital aspect of human life but also a significant commercial item in a complex and multifaceted industry. The commercialisation of food involves a wide range of activities, from production and processing to distribution and marketing, and consumer preferences, regulatory standards, and global trade dynamics influence it. Urban food culture is a dynamic and ever-evolving aspect of city life, reflecting the diverse culinary traditions, social interactions, and economic activities of urban areas. In recent years, food wagon eateries have gained prominence in many cities worldwide, contributing significantly to the urban food landscape. This study comes under the interdisciplinary field of Urban Studies, and this paper investigates the role of food wagon eateries in Thiruvananthapuram, shaping urban food culture, focusing on their impact on culinary diversity, social dynamics, economic development, and preserving culinary traditions.

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Keywords: Food wagon, urban food culture, nightlife, lifestyle.

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 Abstract

Bharat mein mahilaon ki stithi aur mahila sanrakshan vidhiyon ka vikas

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Bharat mein mahilaon ki stithi aur mahila sanrakshan vidhiyon ka vikas

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The mathematical technique used to investigate the statistical law governing random events in the natural world is known as probability statistics. People's attention has been drawn more and more to probability statistics as science and technology have advanced. These statistics are widely used in daily life, the national economy, and industrial and agricultural production. This study addresses the use of probability statistics to solving practical problems, primarily focusing on the pertinent understanding of Bernoulli scheme, normal school, and mathematical expectation. The mathematical possibility that something will occur is known as probability, and it is utilized in many daily applications such as weather forecasts, athletics tactics, sports and leisure activities, and business planning. Probability theory is used in daily life, particularly in risk management and financial market trading. The main thing that citizens should know is how probability estimates are formed and how they affect decisions. Probably the only companies that base their whole business strategy on chance are the big insurance companies. Reliability is a key area in which probability theory is applied in real-world situations. In real life, probability and the capacity to comprehend and calculate the chance of any given set of possible events are crucial.

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Probability, samples, prediction and expectations.

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The Indian automotive industry has experienced a significant transformation in recent years, marked by the rapid growth and emergence of the electric vehicle (EV) market. This paper explores the key drivers and trends behind this shift, as well as the challenges and opportunities that lie ahead. The analysis underscores the crucial role of government policies and incentives, environmental concerns, and advancements in battery technology in promoting EV adoption in India. Additionally, the paper assesses the impact of the COVID-19 pandemic on the EV market and the industry's strategies to address the resulting disruptions. It also examines the regulatory landscape, charging infrastructure development, and changing consumer preferences that are shaping the future of India's EV market. The findings of this study offer valuable insights for policymakers, industry stakeholders, and researchers interested in understanding the dynamics of the EV revolution in India. In pursuit of the Indian government's ambitious goal of achieving 30% EV penetration by 2030, this study aims to investigate the factors driving EV adoption in India, understand consumer attitudes and perceptions, and identify key challenges and opportunities in the EV market. A survey of 151 respondents was conducted, and the data was analyzed using the chi-square test to identify significant relationships between variables.

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Electric vehicles, EV market, India, automotive industry, government policies, battery technology, charging infrastructure, consumer preferences

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The Laws regarding the Land acquisition in India was always a topic of controversy, especially those relating to tribal communities. The tribal communities throughout our history have struggled to preserve and safeguard their lands and the rights over their lands form the clutches of the government and private organizations. Various tribal communities gave lost their lands due to unethical and improper acquisition by the governmental and non- governmental organizations for development endeavours. Due to the implementation of various land acquisition laws and regulations in India, the tribal lands have greatly been affected, which has resulted in their displacement, loss of livelihood and cultural disintegration within tribal communities. Thus this research paper aims to investigate the impact of land acquisition Laws on tribal communities in India. This paper aims to analyse the legal structure that safeguards the land rights of these tribal communities and assess the impact of land acquisition policies on their traditional ways of sustaining themselves and preserving their heritage. This paper also aims to investigate the challenges that these affected tribal communities face while protecting their tribal lands from being taken over by the government or private organizations. By examining current laws, court precedents and existing policies, the study explores the level of protection that is provided to tribal communities with regard to their land rights under the existing legal system and mechanisms for addressing the issues of land acquisition. Furthermore, this paper focuses on the socio- economic and legal impacts of land acquisition laws on tribal communities in India, considers the aspect of fair compensation, rehabilitation and resettlement of the affected tribal communities.

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Accountability, Cultural Heritage, Fair compensation, Forced Acquisition, Land Acquisition Rehabilitation, Resettlement, Socio Legal Implications, Transparency, Tribal Subsistence

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Ecology and the importance of a sustainable environment have found their way into contemporary works of English literature as a result of the growing necessity to preserve and maintain our natural resources. Modern novels founded on environmentalist principles and the quest for a greener future are described in depth in this article, which concentrates on the story points of these books. This article shows how modern English literature interprets themes like the importance of nature, human responsibility, the impact of technology, and reliance on life to argue for sustainability. Reading works by Nobel laureates like Margaret Atwood, Ian McEwan, and Richard Powers as well as Indian authors like Amitav Ghosh, Arundhati Roy, and Indra Sinha, we examine the ways in which fiction both mirrors and inspires real-life events and the pursuit of moral progress.

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Environment Consciousness, Anthropocene, Climate change, Environmental Justice.

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In the digital era, data breaches have emerged as a significant threat to consumer trust and corporate reputation. This study investigates the multifaceted impact of data breaches on consumer trust and their subsequent willingness to share personal information. By analyzing recent high-profile data breaches and conducting surveys with affected consumers, we aim to uncover the nuances of how these incidents influence consumer perceptions and behaviors. Our research explores the psychological aftermath of data breaches, including the erosion of trust, changes in sharing habits, and the efficacy of corporate responses in mitigating negative sentiments. Additionally, we examine the role of transparency, communication strategies, and regulatory compliance in restoring consumer confidence. This study provides valuable insights for businesses aiming to fortify their data protection measures and rebuild consumer trust in the wake of a breach. By understanding the long-term effects on consumer behavior, companies can develop more effective strategies to enhance data security and maintain strong, trust-based relationships with their customers.

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AI, ML, Deep Learning

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In this paper, some simple inequalities have been used to obtain some equation with summation Tk (x) where the value of k = 0 to k = rs + s - 1 , so Trs+s-1 (x) is of degree rs exactly and that Tk (x) is always of degree less than equal to rs which shows that {?_n (x)} is of sheffer's A - type rs = m. This process the result to extend the theorem to the case when the generating function is of the form A (t) ? [ x H (t) + g (t)] we develop the work of J. L. Goldbery [1]

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Generating function, Degree, Polynomials , inequalities, Differential operator Introduction .

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This research investigates the impact of IPO market timing on a company's performance. The study explores the relationship between timing an IPO during favorable market conditions and factors like higher initial returns, better long-term performance, and positive investor sentiment. A review of existing literature finds support for the notion that timing plays a crucial role. Companies launching IPOs in favorable markets tend to experience greater success. Conversely, those entering volatile markets may face challenges and lower returns. The research design utilizes secondary data from financial databases, academic journals, and reports. The data analysis compares IPO performance during different market conditions. The findings suggest that careful consideration of IPO timing is essential to maximize a company's potential for success. By choosing the right market window, companies can increase their chances of achieving positive initial and long-term outcomes.

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IPO (Initial Public Offering), Market Timing, Impact Analysis, Investor Behavior, Financial Markets, Timing Strategies, IPO Performance, Market Volatility

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STUDY AIM: The aim of this study was to determine the distribution of grades under normal distribution for sprinting (100 m & 200 m), jumping (long jump) and throwing (shot-put & javelin throw) of Hindu college, Amritsar.MATERIAL AND METHODS: Forty (N=40) female students at the college level from Hindu College, affiliated with Guru Nanak Dev University in Amritsar, Punjab, India, were chosen to participate in this research study. The scope of the study was specifically focused on the athletic disciplines of sprinting, jumping, and throwing. STATISTICAL ANALYSIS: The normality of the data was checked by using the Shapiro-Wilk (SW) Test of Normality. Under the data analysis, exploration of data was made with descriptive statistics and graphical analysis. Distribution of Grades under Normal Distribution was used, further it was sorted into five grades i.e., Excellent, Good, Average, Poor and Very Poor. The SPSS (Statistical Package for the Social Sciences) version 20.0 was used for all analyses.RESULTS: 100 M: - The Rating above 17.145 was very poor, 16.251-17.145 was poor, 14.463-16.251 was average, 13.569-14.463 was good whereas, rating below 13.569 was excellent.200 M: - The Rating above 29.099 was very poor, 27.898-29.099 was poor, 25.496-27.898 was average, 24.295-25.496 was good whereas, rating below 24.295 was excellent. Long Jump: - The Rating below 0.471 was very poor, 0.471-1.42 was poor, 1.42-3.318 was average, 3.318-4.267 was good whereas, rating above 4.267 was excellent. Shot-Put: - The Rating below 1.316 was very poor, 1.316-2.289 was poor, 2.289-4.235 was average, 4.235-5.208 was good whereas, rating above 5.208 was excellent.Javelin: - The Rating below 3.296 was very poor, 3.296-6.23 was poor, 6.23-12.098 was average, 12.098-15.032 was good whereas, rating above 15.032 was excellent.

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Sprinting, Jumping, Throwing, Hindu College, Amritsar.

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Literature and Philosophy: An Interdisciplinary Study

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Literature and Philosophy: An Interdisciplinary Study

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Background: Cancer remains a significant public health issue globally, and rural regions often face unique challenges in terms of early detection and treatment. This epidemiological study aimed to analyze the age-and sex-specific cancer incidence in rural areas of Shimla district, Himachal Pradesh, India. Methods: Data were collected from local hospitals and cancer registries, focusing on distinct age groups and sex differences. Results: The results revealed a clear pattern of cancer types across different age groups, with hematologic and bone cancers prevalent among children, and a diverse range of cancers affecting adolescents and young adults. Gastrointestinal, lung, and reproductive cancers were more common in older populations. Notably, breast and cervical cancers among females and lung, prostate, and colorectal cancers among males were particularly significant. Regional variations highlighted Theog, Rampur, and Jubbal & Kotkhai as areas with the highest cancer incidence, necessitating targeted healthcare interventions. Conclusion: The present study underscores the need for tailored cancer prevention, screening, and treatment programs to address the specific needs of rural populations in Shimla district.

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Keywords: Cancer incidence, rural health, age-specific cancer, sex-specific cancer, healthcare disparities

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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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Health, Personality, Character, Trust

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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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Aerobic Exercise, Yogic Asanas, Physical and Physiological Variables

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