Volume 12 | Issue 3 |

 Abstract

Herbal tea, composed of various herbs derived from leaves, seeds, and roots of different plants, is often misunderstood as being sourced from traditional tea plants. In reality, these concoctions are better described as "tisanes." There exists a diverse array of tisanes, each renowned for its therapeutic attributes. Some are prized for their invigorating qualities, aiding in relaxation, alleviating digestive issues, and bolstering the immune system. Among the well-known herbal teas are black herbal tea, herbal green tea, herbal chamomile, herbal ginger, herbal ginseng, peppermint, and cinnamon. Certain herbal teas possess potent healing properties; for instance, astragalus, a Chinese herb, boasts antimicrobial and anti-inflammatory effects, offering support to individuals with conditions like HIV and AIDS. While scientists continue to explore and confirm the health advantages of consuming herbal teas, they have found little evidence of harm associated with their consumption.

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 Keywords

Camellia Sinensis, tisanes, Historic herbal remedy, Modern day discoveries, medical benefits, ailments, benefits, drawbacks.

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In India, approximately 8.6% of the population falls under the category of "scheduled tribes," spread across 705 districts nationwide. Among these, tribal communities hold significant presence in states like Andhra Pradesh, Chhattisgarh, Gujarat, Jharkhand, Madhya Pradesh, Maharashtra, Odisha, Telangana, West Bengal, the Northeastern states, as well as the Andaman and Nicobar Islands. This study delves into the health-seeking behaviors of Koya tribe women, an indigenous group residing across various regions of India. Despite playing crucial roles in familial and societal well-being, the healthcare practices of Koya women have received limited exploration. Employing a mixed-methods approach involving qualitative interviews and quantitative surveys, this research investigates the determinants influencing health-seeking behaviors among Koya women. Factors such as cultural norms, traditional beliefs, socio-economic status, and accessibility to healthcare facilities are analyzed. The findings unveil a complex interaction between traditional healing methods and the utilization of modern healthcare services among Koya women. While traditional remedies and spiritual practices remain significant in health management, there's an increasing acceptance of modern healthcare services within the community. However, challenges like restricted access to healthcare facilities, financial limitations, and cultural preferences significantly influence the healthcare-seeking decisions of Koya women. The study emphasizes the necessity for culturally sensitive interventions to bridge the gap between traditional and modern healthcare systems. Through collaboration with community leaders and stakeholders, policymakers and healthcare providers can devise targeted strategies to enhance healthcare accessibility and promote well-being among Koya tribe women. This research contributes to a deeper comprehension of healthcare dynamics within indigenous communities, advocating for context-specific approaches to effectively address healthcare disparities

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 Keywords

Traditional Medicine, Tribal population, Health seeking behavior, Health seeking behavior of tribal population.

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 Abstract

In recent years, influencer marketing has emerged as a dynamic and impactful strategy for brands seeking to connect with their target audiences in a more authentic and engaging manner. This paper examines the factors driving the increasing adoption of influencer marketing by brands across diverse industries. Through a comprehensive review of existing literature, as well as analysis of current trends and case studies, this research elucidates the various benefits that influencer marketing offers to brands, including enhanced brand awareness, credibility, and audience engagement. Additionally, this paper delves into the evolving landscape of social media platforms and their role in facilitating influencer-brand collaborations.

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GROWING USAGE OF INFLUENCER MARKETING AMONG BRANDS

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 Abstract

This project revolves around the conceptualization, examination, and optimization of a pedestrian bridge. The focus here is on designing an overhead pedestrian bridge in locations where traffic volume surpasses 1500 vehicles or where a significant number of accidents occur. The primary objective is to alleviate conflicts between pedestrians and motor vehicles. In areas such as those in front of schools, colleges, offices, and other public spaces where pedestrians, particularly students, frequently traverse the road, the hourly traffic exceeds 1500 vehicles on average. Navigating these busy roadways by foot not only poses a challenge but also carries inherent risks. With this context in mind, the project aims to create an aesthetically pleasing pedestrian bridge at key intersections in front of areas with high pedestrian footfall. This initiative intends to relieve traffic congestion and minimize delays on the highway, while also enhancing safety by mitigating conflicts between pedestrians and motor vehicles.

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design, accidents, analysis, shape optimization, pedestrian bridge, pedestrian safety, high traffic volume.

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Soil fertility is an important factor in assessing the quality of the soil since it shows how well the soil can support plant growth in agriculture.The quantity of nutrients in the soil can be quickly determined by using an Arduino board equipped with a soil sensor. The nutrient content of the soil can be quickly determined with an ESP32 equipped with a soil sensor. It is widely accepted that nitrogen, phosphorous, and potassium are essential constituents of nutrient sources.These elements should be measured to determine how much more nutrient content needs to be added to the soil to increase crop fertility.Soil fertility can be established through NPK sensors. By examining data on soil nutrient concentrations, we may determine whether the soil used to support plant production is rich in nutrients or lacking in them. There are several approaches to use a mass spectrogram or sensing element to find out how many nutrients are in the soil samples.However, with data only 60-70% genuine, the spectrum analysis approach is laborious.Due to a scarcity of data, a detailed comparison between the spectrum analysis approach and conventional wet chemistry procedures is required to ascertain the accuracy of the products. To detect soil nitrogen, phosphorus, and potassium, a soil NPK sensor should be used. Along with the application of a cheap, quick, straightforward, elevated, and portable soil NPK sensor. The plus side over a traditional detection method is the extremely short observation times required to gather exact data.This study compares and utilises different soil nutrient levels using machine learning and the kernel density estimation algorithm. One advising technological advancement that provides rational and sensible answers to the transformation taking place in many industries is the Internet of Things (IOT).Numerous research surveys and evaluations have been conducted, and a variety of methods have been used to apply IOT technology in agronomical fields.When it comes to quickly detecting plant health issues so that appropriate action may be taken, IOT can be very useful. It's a significant development in smart agriculture.Within this manuscript, we introduce a methodology for creating an automated framework capable of detecting crop damage in its early stages, which remain undetectable to the unaided eye. This method helps to prevent large losses in addition to saving a tonne of time and labour.The proposed method builds a recognition framework using soil-based detection devices, such as nitrogen, potassium, and phosphorus derived from plants. Sensor data is sent to the Arduino Cloud, which evaluates it and helps identify plant damage. In the years to come, the smart farming system will rely heavily on the internet of things.

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 Keywords

KERNEL DENSITY ESTIMATION, NPK SENSOR, PRECISION FARMING.

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Addiction poses a significant public health challenge in India, impacting individuals, families, and communities across the nation. This study aims to comprehensively investigate the landscape of addiction in India, with a focus on understanding its prevalence, patterns, and effective interventions. The method involves incorporating surveys with a diverse sample of participants from various regions and demographic backgrounds. The study aims to collect date on the prevalence of addiction to substances, behaviours, and technology, along with associated risk factors. Conducting interviews to gain insights into the live experiences of individuals affected by addiction and the cultural and societal factors influencing addiction behaviours. The findings reveal complex and evolving picture of addiction in India. Substance abuse, involving alcohol and tobacco, remains a prevalent concern, but emerging trends such as internet addiction and gambling are on the rise, particularly among the youth. Socioeconomic factors, cultural norms, and peer influence were identified as key contributors to addiction vulnerability. Stigma and limited access to treatment and support services were identified as barriers to recovery. By addressing the multifaceted nature of addiction in India, healthcare professionals can develop evidence-based strategies to mitigate its impact on individuals and society.

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 Keywords

Addiction, India, Prevalence, Patterns, Intervention, Substance Abuse, Internet Addiction, Stigma, Youth, Survey

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Statistics and mathematics assist as the keystone of artificial intelligence, machine learning, data analysis and data science. Probability theory, linear algebra and optimization are fundamental enabling techniques for understanding uncertainty, manipulating data and optimizing algorithms. In AI and ML, probability, linear algebra and optimization techniques are support models, while in data analysis and data science, statistical methods facilitate descriptive, inferential analyses, regression and time series analysis. Collectively, these disciplines provide the theoretical framework and analytical tools essential for extracting insights, building models and making data-driven decisions. Statistics is a branch of mathematics that deals with collection, analysis, interpretation, presentation and organization of data. Statistical methods are used to analyze and interpret data to make inferences about populations from samples. Statistical methods are widely used in AI to improve performance and accuracy. A key component of data science is math. Mathematics contains various branches like algebra, geometry, Trigonometry, Calculus, Statistics and Probability. Developing machine learning algorithms requires an understanding of concepts from statistics, probability theory, calculus and linear algebra. These algorithms recognize patterns, forecast outcomes and categorize data using mathematical equations and functions. All Machine Learning algorithms are built on a mathematical foundation. These algorithms assist us in extracting information from the data. We write these algorithms in a programming language (typically libraries are available) and the computer machine that executes them on the data set seems to be intelligent, thus the title Artificial Intelligence. Machine learning is an integral part of artificial intelligence, which is used to design algorithms based on the data trends and historical relationships between data. Machine learning (ML) is defined as a discipline of artificial intelligence (AI) that provides machines the ability to automatically learn from data and past experiences to identify patterns and make predictions with minimal human intervention. This paper aims to explore role of the Statistics and Mathematics in Artificial Intelligence, Machine Learning, Data Analysis and Data Science. Also some factors are discussed like challenges, limitations and future directions.

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 Keywords

Statistics, Mathematics Artificial Intelligence (AI), Machine Learning (ML), Data Analysis (DA), Data Science (DS), Optimization, Probability.

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Oral tradition expresses self-identity and upholds social organisations, religious practices, ethical values and customary laws of a certain group of people. Orality is a complex phenomenon which configures its own ways and means of expression and transmission. It is that great highway of information where an existing intersection of ideas, forms and styles takes place at different levels, creating processes and dialogues with inter-linkages between form and content, genre and theme, visual and aural, local and regional, traditional and contemporary. The oral literature or the traditional literature, transmitted to us from generation to generation, represents the most valid and appropriate expression of religions, mythological, historical and cultural milieu of the rural folk. It was the only form of literature that existed among the tribal society as a vehicle of expression and share knowledge and stories of an oral tribe in the form of proverbs, sayings, folk songs which held the community together. Narratology is the art of narration through which folk tales, proverbs, myths, etc. are conveyed from one generation to the other orally. Narratives function as markers of ethnic or cultural boundaries. They also perceive through narration, the changes and loss of images in their society and their cultural differences. Thus all narratives are expressions of a given culture, and represent and transport its norms and values. The telling of stories is such a pervasive aspect of our environment that we sometimes forget that stories provide the initial and continuing means for shaping our experience. Stories are the repository of our collective wisdom about the world of social and cultural behaviour ; they are the key mediating structures for our encounters with reality.All forms of narration are a reflection of culture. Folktales, proverbs, sayings and all kinds of everyday narration are expressions or representations of the cultural system of a people of its worldview, its value orientations, attitudes and habits, its customs and its history. Ordinary everyday communication is usually interspersed with short narrative forms like saying or proverbs, anecdotes, quips, stories, etc.With oral narratives, there are no reference books. Hardly anything is written down or recorded. The present study will concentrate on a small part of a vast oral literature of the Ao Nagas, a major tribe of Nagaland, The Aos have a rich culture which is reflected in their oral literature like the use of proverbs, sayings, songs and folklores. Use of proverbs in everyday life and daily conversation is commonly practiced among the Aos. Some of the most popular proverbs used among the people are discussed here which speak about their culture and traditional wisdom. In the Ao society, many elderly persons converse with a song. Each occasion calls for the appropriate song. In the context of the traditional Ao society, songs and folklores are the major components of their discourse.Songs and folklores are major components of a non-material culture specially in the context of a traditional society. The past history of civilisation in the context of modern society can be understood better through study of oral traditions like folk songs and use of folk elements like proverbs. . It is important to preserve this oral tradition for the retention and continuity of one's culture and tradition.

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 Keywords

Oral tradition, Songs, proverbs, narratology, traditional society, culture

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 Abstract

Nick Szabo first used the phrase "smart contract" in 1994 to describe a software that may be programmed to carry out any task upon the satisfaction of certain predetermined criteria. Nick Szabo first used the phrase "smart contract" in 1994 to describe a software that may be programmed to carry out any task upon the satisfaction of certain predetermined criteria. Globally, public sector organizations and governments are always exploring innovative approaches to stay abreast of technological developments in order to attain cost optimization, work efficiency, and smart governance. One such method that has drawn interest from governments all around the world in recent years is blockchain technology. The blockchain can expand to another province thanks to low-cost methods, increased traceability, and enhanced security. Governments typically award contracts to private companies for various projects. Different rivals attempt to keep an eye on one other's tender values during this procedure in an effort to secure the contract. In order to approve the deal in recognition of a particular third party, the callous government officials also accept large bribes. In this initiative, we want to use blockchain technology to create a transparent and safe mechanism for allocating government contracts. Government documents that are very vulnerable to manipulation are stored on blockchain, which is a reliable and immutable data format.

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 Keywords

Blockchain, Edge Computing, Smart Contracts, Contract Allocation,Edge Computing,Bid,Auction System,Firebase

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 Abstract

Information about the identification of various medicinal plants and their uses has been obtained during the visit of Tapi district during 2020-2021.Tapi district was formed on October 2, 2007, with the separate of some taluka of Surat district, which is in the South of Gujarat state. Whose headquarters are Vyara. Tapi district is located between 21.05o North latitude and 73.20o East longitude. It has an area of about 3434.64 sq.km. This district lies in the east between Maharashtra state, Surat district on the west, Dang & Navsari on the South & Narmada district on the north, Medicinal plants found in various forests of Tapidistrict and used by tribal people are Shown. The total forest area of Tapi district is 90760.3235 ha. Songadh - Uki area in this district has thicker forests. The calculation and uses of 107 species of medicinal plants belonging to more than 27 families are shown during the visit. Of which 15 medicinal plants are mentioned here. These include species of tree(36), shrubs(26), herbs(30), Climber(10) & tubers(5) etc. This includes most of the plants of the family Fabaceae and Malvaceae.

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 Keywords

Ethno medicinal plants, Tribal, Traditional medicines, Tapi District, Gujarat

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Creative Commons Attribution 4.0 and The Open Definition