Volume 12 | Issue 6 |

 Abstract

The Arshas in modern concept can be compared with piles or hemorrhoids. Haemorrhoids are varicosity of the plexus of rectal veins lying under mucosa. Due to various etiological factors the hemorrhoid venous plexuses get constricted and after some time they get elongated due to the pressure exerted on them resulting in the formation of haemorrhoids at different positions in the ano-rectal region. the ancient acharyas i.e. sushruta, charaka, chakradutta, vangasena were explained curative measures for management of Arshas. Among them one local application is undertaken for the present study, known as "Pippalyadi Lepam." The local application was applied to relieve the inflammation and indurations of the pile masses. The ingredients of this preparation acts directly on the arshas. Apart from this, it also relieves pain, reduction of pile masses, arresting of local bleeding and relief from other symptoms. The statistical analysis reveals that therapy is effective in Arshas to stop Bleeding, to relieving Pain, and Itching.

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 Keywords

Arshas, Haemorrhoids, Pippalyadi Lepam

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In the actual world of temperature measurement and control, the calibration of thermocouples employing RTD and thermistors is extremely important. Many industries, including manufacturing, healthcare, and scientific research, depend on accurate temperature sensors. Although thermocouples are commonly used because to their robustness and adaptability, accuracy issues are frequently encountered. The potential of this effort to overcome these issues by creating a novel calibration process makes it significant. The research attempts to improve thermocouple measurement precision by incorporating thermistors and Resistance Temperature Detectors (RTDs) into the calibration procedure.

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 Keywords

Temperature Measurement, Error Detection

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Type 2 diabetes mellitus (T2DM) is a widespread metabolic disorder characterized by insulin resistance and insufficient insulin production, leading to hyperglycemia. With the increasing prevalence of T2DM worldwide, there is an urgent need for the development of novel and effective therapeutic agents. In silico drug design techniques have emerged as powerful tools in the drug discovery pipeline, facilitating the identification and optimization of potential drug candidates. This review provides a comprehensive overview of in silico methods employed in the discovery of anti-diabetic agents targeting various proteins and pathways implicated in T2DM pathogenesis. We discuss structure-based drug design (SBDD) approaches, including molecular docking, virtual screening, and pharmacophore modeling, as well as ligand-based drug design (LBDD) techniques such as quantitative structure-activity relationship (QSAR) modeling and similarity searching. Additionally, we highlight the application of machine learning and artificial intelligence in drug design for T2DM. Furthermore, we examine the integration of in silico methods with experimental techniques and the challenges associated with in silico drug design for T2DM. Finally, we provide insights into future perspectives and the potential impact of in silico approaches on the development of novel anti-diabetic therapies.

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 Keywords

type 2 diabetes mellitus; in silico drug design; structure-based drug design; ligand-based drug design; molecular docking; virtual screening; pharmacophore modeling; QSAR; machine learning; artificial intelligence

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Due to the shift or changing pattern in the family structure or institution, India is lacking in a certain problem that is providing care for the elderly people. With this unique problem, "old age home" has emerged as a new hope for the elderly section of our society. Therefore, the need for studying the old age homes has significantly increased in the research domain. This paper examined the factors that have enforced the elderly section to live in old age homes. This study is carried out in Bareilly district with 74 number of respondents. Purposive sampling along with the case study is used to enhance the quality of the research. A semi-structured interview schedule is followed to collect the data from the respondents. The present paper has covered an old age home from the Bareilly district of Uttar Pradesh. The study revealed that most of the respondents were widow, illiterate and from rural background. The common factors pushing them to OAHs are abuse from their family, health issues, financial problems, tarnished self-respect and many more.

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illiterate; old age homes; elderly; institution

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Inclusive Education is key to provide equity with Equal opportunities to each and every child in the World. Inclusive Education provides individualized education with the help of appropriate strategies, equipment and support of teachers. Teachers play a very crucial role in order to make inclusive education more fruitful at the grassroots level from inspiring them to take admission in the school to making them self-sufficient by helping them in the field of their difficulties. The present study aims to understand the Attitudes of secondary schools teachers towards inclusive education in the district of Jajpur, Odisha. A sample consists of 60 secondary school teachers in Jajpur district by stratified Random sampling method. The researcher adopted a standardized teacher Attitude Scale toward Inclusive Education by Dr.Vishal Sood and Dr. Arati Ananda .Descriptive survey method was used by the researcher. From The results it was evident that most of the teachers having positive attitude towards inclusive education. There exist no significant difference between the attitude of male and female,rural and urban secondary schools teachers.

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Attitude Of Secondary School Teachers Towards Inclusive Education Of Jajpur District

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This review explores data science, focusing on extracting insights from complex data. Data science, at the intersection of statistics, computer science, and AI, provides powerful tools to uncover hidden patterns and trends in large, diverse datasets. The paper discusses data science concepts, including data collection, analysis, and interpretation, emphasizing the importance of data visualization, machine learning algorithms, and statistical techniques in transforming raw data into actionable insights. Additionally, it addresses the challenges and opportunities in processing big data, unstructured data, and real-time data streams in the context of data science research. By consolidating key findings and highlighting emerging trends, this review offers valuable resources for researchers, practitioners, and enthusiasts to understand the methods, tools, and best practices in data science for uncovering insights from complex data. The review aims to investigate the effectiveness of data science and leverage the power of data for informed decision-making and innovation.

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Computational data science, deep learning, autonomous vehicle, traffic anomaly, data analysis.

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The concept of participatory democracy has gained immense popularity in recent years, especially in countries like India where governance faces several challenges. This paper delves into the nuances of participatory democracy in the Indian context, analyzing its significance, challenges, and potential strategies for implementation. Through a comprehensive review of existing literature, case studies and policy frameworks, this research explains how participatory democracy can transform governance by empowering citizens as active stakeholders in decision-making processes. By removing structural barriers, promoting civic education, and leveraging technology, India can move towards a more inclusive and responsive democratic framework in which the voices of all citizens are heard and heeded.

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2621

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This comprehensive survey delves into the complex landscape of modern information and communication technologies, including cloud computing, the Internet of Things (IoT), software-defined networking (SDN), artificial intelligence (AI), and emerging technologies such as: We are investigating various fields such as. Blockchain service (BaaS). This story unfolds against the backdrop of continuous technological advances and highlights the central role of network technologies in reshaping computing and communications. This study traces the history of computer networking from its beginnings in the ARPANET to the commercialization of the Internet, navigating key developments such as the rise of TCP/IP and the transformative era of cloud computing and his IoT. It carefully examines the challenges and advances inherent in this digital environment and reveals the important interactions of network technologies in different fields. Future Scope describes promising research directions such as cloud security, IoT vulnerabilities, SDN optimization, and integration of new technologies such as blockchain. The focus is on improving security measures, addressing network challenges, and maximizing the potential of AI and cognitive computing in diverse business environments. The study envisions a future where evolving technologies contribute to a more connected, secure and efficient digital environment, and calls on researchers to prioritize innovation, efficiency and security across a range of sectors. Essentially, research environments must be rooted in a commitment to a future of digital transformation that aligns with the needs of connectivity, security, and innovation.

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cloud security, Internet of Things, network security, Network Functions Virtualization, Secure Socket Layer, Distributed Denial of Service attacks, 5G wireless backhaul networks, Blockchain as a Service, Cloud Radio Access Network, traffic engineering.

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The National Education Policy 2020, which is a transparent attempt to create an efficient, effective and value based education system in India based on as much facts and information as possible, was adopted by the Indian union cabinet on July 29, 2020. It promotes of five plus three plus three plus four school structure, dresses mother language education, and proposes of Higher Education Commission of India (HECI). Holistic, multydisciplinary learning and continued teacher improvement are at the core of this policy. In this article we will focus on the important features and challenges brought to us by NEP 2020

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Holistic learning, inter disciplinary studies, inclusiveness, technology integration, vocational education.

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The concept of terrorism is a controversial term throughout the world. A person may be a terrorist in front of a person or may be a freedom fighter in front of another person. Terrorism is a systematic activity and also pre-planned. Terrorist has always targeted to the innocent and weak people by spreading violence in civil society. They also involve various anti social activities like smuggling, illegal weapon and black money supply. The main causes of terrorism are ethno-nationalism, discrimination, religious, cultural, ideological and of socio-economic and political. Cyber terrorism, separatist terrorism, state sponsored terrorism, nuclear terrorism, biological terrorism, religious terrorism, narco-terrorism these are the various types of terrorism. The famous international terrorist groups are like Al-qaeda, Taliban, Laskar-e- taiba, hamas, ISIS etc. They have making violence in public place, bombardment, attack by weapon, , kidnapping, plane hijack, car bombing, misuse of internet, use of RDX to blast, human bombing, landmine and bombing in the places where huge gathering like shopping mall, railway station, bus stand etc. At present the terrorism is growing with the help of science and technology and pushes the world to security challenges.

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 Keywords

Terrorism, features of terrorism, causes of terrorism, types of terrorism, way of terrorism, famous terrorist organisation

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