Volume 11 | Issue 12

 Abstract

Technological development is unavoidable over time. That phenomenon has created a new trend, which is online transportation services. Online transportation services provide road transports that track and exploit the development of technology-based online application. Indonesia has the highest market share in Southeast Asia with an estimated transaction value of 18 million dollars by 2025. Indonesia has many online transportation service companies. Gojek, Grab, Maxim, and InDriver are the companies with the most user in Indonesia. Gojek leads an online transportation market in Indonesia, followed by Grab in second rank, Maxim in the third rank, and InDriver in the fourth. Online transportation services companies retain their customer by making customers repurchase. Customer repurchase intention us affected by customer satisfaction while using online transportation services. Customer satisfaction is affected by e-service quality and customer's trust to the brand. Hence, this study aims to find out how much e-service quality and trust affect customer satisfaction, and how much customer satisfaction affects customer's repurchase intention. This study uses quantitative method with descriptive analysis way. Data collection will be done by using questionnaire as a tool which will be spreaded out through Google Forms. Respondence's population is a sum of Grab's user in Indonesia, with a purposive sampling technique. Datas that already collected will be processed using SMART-PLS software.

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 Keywords

consumer behaviour, customer satisfaction, electronic service quality, online transportation services, price, repurchase intention, trust

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The surge in online reviews has revolutionized consumer decision-making, accompanied by the pervasive issue of fake online reviews. This research paper delves into a robust machine learning approach for combating this challenge. The paper addresses the crucial need for dependable methods to distinguish genuine user feedback from deceptive ones, fostering trust in online commerce and informed consumer decisions. Leveraging a diverse dataset of reviews, the study employs a multi-faceted methodology encompassing data preprocessing, feature extraction, and machine learning classification algorithms. Techniques such as text processing, sentiment analysis, and advanced classification models are utilized to assess their effectiveness in identifying fake reviews across diverse industries and platforms. The paper's outcomes highlight the relative performance of various machine learning algorithms, including Random Forests, Support Vector Machines, Logistic Regression, and more. The evaluation employs precision, recall, F1-score, and accuracy metrics to gauge predictive accuracy. These findings provide insights into the strengths and limitations of each algorithm, aiding practitioners in selecting the most appropriate model for their specific context. Concluding with the broader implications, the research underscores the significance of a machine learning-driven approach in countering fake reviews and elevating the credibility of online platforms. Serving as a valuable contribution to academia and industry, this research paper equips stakeholders with insights to promote more authentic and trustworthy digital interactions.

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 Keywords

Fake reviews, Online reviews, Machine learning, Classification algorithms, Text processing, Sentiment analysis, Trustworthiness, Deceptive content, E-commerce, Consumer trust, Data preprocessing, Feature extraction, Predictive accuracy, Robust detection, Data-driven approach, Decision-making, Information integrity, Online platforms, Performance evaluation, Algorithm comparison.

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In the realm of computational science, quantum computing stands as a beacon of unparalleled potential, offering a glimpse into solving the unsolvable for classical computers.In my research paper, I examine and blend insights from four important papers about quantum computing. These papers each offer unique perspectives: Stolze and Suter's "Quantum Computing: A Short Course from Theory to Experiment," Bertels' "Quantum computing: How far away is it?," Paler and Devitt's "An introduction into fault-tolerant quantum computing," and Wu's "Qubits or Symbolic Substitutions for General- Purpose Quantum Computing."My paper aims to make a big impact in the world of quantum computing. By combining the key points from these papers, I hope to highlight the main challenges in quantum computing, such as making sure the data is accurate and the systems work properly. I want to suggest some ways to make the technology better, improving how long data can be stored and fixing any mistakes that might happen.This work is essential because it paves the way for future developments in quantum computing. I want to help solve the big problems in this field, hoping to push quantum computing into a brighter future by finding solutions to these challenges.

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 Keywords

Quantum computing, Evolution, India, Quantum technology, Historical overview, Challenges, Collaborations, National initiatives, Commercial interest, Quantum algorithms, Quantum error correction.

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The words unemployment and employment are most oftenly and frequently used in youth's group. The meaning of these words are very big than its literal meaning in youths life. Other people associated with youth also know the importance of these two words and how these two words affect the future of them. Country like India has faced the problem of unemployment because there is no job for such a huge number of youths. But unemployment is not only a national problem it is a family and social problem also. The youth, who is unemployed, himself faced so many psychological problems. The family and society expects them to work and earn money and when he failed to earn money and manage his expenses they think that he is useless. Unemployment, which has proved a bane for the society, is a universal phenomenon and is the negative aspect of the economic process as it is a condition of being without gain full work. It is generally considered as an involuntary failure to get income yielding work. Unemployed person can be a big problem for any nation. Unemployment is a concern for youths mental health.

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 Keywords

Employment, Unemployment, Job, Youth, Mental Health, Economy

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In the epoch of advanced electronic and communication systems, it is being observed most of the times that the information is being assaulted with worms and viruses. To shield the data, a secure and advanced cryptosystem is required to devoid any type of dilemma. There are several tools and techniques that are being used, to meet the challenging needs for a highly secure transmission and reception system. In the spirit of algebraic abstraction, this paper advocates the definition and use of higher levels of abstraction in cryptography (and beyond). If contrasted with the standard bottom-up approach to defining models of computation, algorithms, complexity, efficiency, and then security of cryptographic schemes, our approach is top-down and axiomatic, where lower abstraction levels inherit the definitions and theorems (e.g. a composition theorem) from the higher level, but the definition or concretization of low levels is not required for proving theorems at the higher levels. The goal is to strive for simpler definitions, higher generality of results, simpler proofs, improved elegance, possibly better didactic suitability, and to derive new insights from the abstract viewpoint. Previously security was mainly concerned with the exchange of messages that took place in communication. After that some techniques came into existence that provided more reliable and superior results. But the prerequisite for a more secret system is increase in amount day by day. As the communication system is being more complex, according to the demand more advanced and protected cryptograms are important. In the following paper diverse cryptographic techniques have been analysed that serve the purpose of security from 1900 B.C up to the present day visual.

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 Keywords

Hieroglyphics Enigma Machine, DES, AES, RSA Quantum Cryptography

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The recent growth of e-commerce and the consumer's increasing interest in purchasing over the net have significantly changed the landscape of Indian retail market. Today customers are inclined to accept the changes and keep their eyes on the benefits they can obtain from online retailers. The recent example of changing consumer purchase pattern is the flipkart's 'Big Billion day' Sale. The growth in online sales can be partially attributed to the Internet's advantages of providing large amounts of information quickly and inexpensively and its growing accessibility. Yet, to reach its full potential, business owners who use ecommerce as a distribution channel need a clearer understanding of who buys online, what they buy online, why they buy online, and how the non-Internet buyer can be transformed into an online buyer in order to increase online sale. The purpose of this study is to understand and analyze the factors effecting online purchase decisions of Indian customer. The paper attempts to identify the determinants of online purchase intentions of youths in Indian context. Based on extensive literature review, factors effecting online purchase intentions, antecedents of service quality and consumer attitudes were identified and a structured-non-disguised questionnaire was prepared. The data was collected through survey of 200 students of graduation and post-graduation courses in Bareilly region of Uttar Pradesh. The questionnaire contained questions about consumer demographics, security and privacy concerns, technological familiarity, past online shopping experiences and intentions to buy various types of products through internet in future. The findings of the study indicate that customer online purchase intentions are significantly related to their gender, education, age, security concern, technological familiarity, and past online purchase frequency. Consumer buying behavior is also affected by product type, purchase frequency and expensiveness. Their purchase decisions are also found to be related with the online retailer's services like return, refund and delivery services. The framework of the research enhances understanding of the factors affecting customer online shopping behaviour, helps in profiling typical Indian online shoppers and may help e-marketers developing more specific marketing strategies to increase e-commerce sales.

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Online Shopping Intentions, Online Shopping, Customer Characteristics, e-Retailing, e-Commerce

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Workplace risk behaviors have been classified and thoroughly investigated, which reveals that they have the potential to pose major hazards to the health of employees as well as the general well-being of the business. Big data has further worsened the penalties and costs associated with damaging and unproductive employee behaviors, such as data leaks and the unlawful selling of user information. Examples of these types of acts include data leaks and the sale of user information. Because of this, it has become one of the most difficult obstacles that companies all over the globe must overcome. In response, the practices of human resource management (HRM) have increasingly centered their attention on minimizing unproductive behaviors via the deployment of high-performance work systems (HPWS) . It has been shown that emotional and cognitive burnout at work is connected with the incidence of both high-risk work behaviors and actions that are unproductive. As a result, it is essential for companies operating in the present period to investigate methods that might lessen the stress caused by tasks and improve the health of their staff. According to research, a robust feeling of firm commitment may favorably affect employee behavior, perhaps moderating unwanted behaviors while strengthening those that are desired. The purpose of the research will be to conduct an in-depth investigation into the theoretical underpinnings of unproductive behaviors. It will include the HPWS framework with the goal of identifying new areas of significance and making a contribution to efficient human resource management techniques.

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 Keywords

Human Resource Management (HRM), High-performance Work Systems (HPWS), Big data, unproductive behaviors, deployment, Human Resource Management Techniques

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 Abstract

The Philippines is known for its rich farmlands and vast natural resources, there is no question as to why the country is most likely known primarily as an agricultural country. The purpose of the paper is to determine the effects of non-price determinants which are the land input, the cost of production of crops, the farmers' wages, and COVID-19 on the production of major crops in the Philippines which are rice and corn. Using the Ordinary Least Squares to summarize and analyze the secondary data gathered from the Philippine Statistics Authority from 2010 - 2021, this proved that for Rice, The variables Land input and Cost of Production have a significant positive relationship while the production level while Farmer's wages have a significant negative impact. COVID-19 on the other hand is insignificant since Rice is an essential to every Filipino household even during the time of the Pandemic. For Corn, The variables Land input and Cost of Production also have a significant positive relationship while the production level while COVID-19 have a significant negative impact.

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 Keywords

crop productivity, land input, cost of production, farmers' wages, COVID-19

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 Abstract

Vehicle surroundings are dynamic and movable, which poses special problems for Vehicular Ad Hoc Networks (VANETs). For the provision of different services, traffic control, and road safety, effective vehicle-to-vehicle communication is essential. The Vulture Optimization Algorithm based Hierarchical Routing Strategy (VOA-HRS), a revolutionary approach created especially to handle the complexities of routing in VANETs, is introduced in this study. To improve the efficiency and dependability of data transfer in automotive networks, VOA-HRS establishes a hierarchical routing system based on the concepts of the Vulture Optimization Algorithm. Because of the hierarchical architecture, communication within clusters may be effectively organized and managed by designating cluster heads according to predetermined criteria. The architecture, design, and implementation of VOA-HRS are covered in this research work, along with performance assessments utilizing important metrics such routing overhead, packet delivery ratio, and end-to-end delay. The simulation findings show encouraging gains in network performance and routing efficiency, proving the practicality and efficacy of VOA-HRS in resolving routing issues in VANETs.

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Vehicular Ad hoc Network, Routing, Vulture Optimization Algorithm, Throughput, Delay, Overhead, Simulation.

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Solar and wind energy technologies have witnessed remarkable advancements in recent years, transforming the global energy landscape. This review paper provides a comprehensive analysis of the latest developments in solar and wind energy, encompassing technological innovations, environmental impacts, economic considerations, and policy frameworks. By examining a wide array of research studies and industry reports, this paper aims to shed light on the current state of these renewable energy sources and their potential to address the challenges of climate change and energy sustainability.

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Solar, Thermal, Photovoltaic, CSP, Wind.

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 Abstract

Breast cancer is one of the most common cancers in women globally. Treatment for breast cancer is better than prevention. Numerous biological factors can cause breast cancer, which makes treating it with chemotherapy and/or radiation therapy extremely challenging and often results in undesirable side effects. Plant extracts have been used to treat almost every illness for millennia, and breast cancer is no different. Herbal medicines are a dependable option for treating cancer because of their low toxicity. Additionally, because herbal treatments are easily accessible and reasonably priced, most women who have been diagnosed with breast cancer happily accept them. In both in vitro and in vivo investigations conducted over the past ten years, it has been discovered that several plants and the compounds present in them exhibit promising anticancer effects against breast cancer cells. Even while natural compounds show promising preclinical results, their poor stability, water solubility, and bioavailability typically hinder the clinical translation of these medications. Attempts have been made to overcome these limitations, particularly through the application of nano-based drug delivery systems (NDDSs).

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Breast cancer, Herbal remedies, Nanomedicine, Phytoconstituents, Targeted delivery

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 Abstract

Rhabdomyosarcomas are among the most common soft tissue tumours in children. These tumours are derived from mesenchymal tissue with a tendency toward myogenic differentiation that probably originates from immature and highly invasive satellite cells associated with the embryogenesis of skeletal muscle. Head and neck is the principal location of RMS - 36% of these tumours. However, relatively uncommon in the oral cavity, with involvement of the jaws being extremely rare.Some of these tumours are associated with high rates of recurrence and metastasis. Hence an early diagnosis and proper treatment plan will be crucial for saving the life of these children. Here a case of intraoral RMS is discussed with emphasis on imaging features.

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Rhabdomyosarcoma of oral cavity - A case report with imaging perspective

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Artificial intelligence (AI) is used in many fields such as in advertising, online shopping, cars etc., In everyday life the AI is used such as applications like Google maps and also Waze which are used for analyzing traffic data in live and also provides the fastest route for the user to drive. Now- a-days the AI is also evolved in education. By adapting the AI, it can transform the classical way of learning and teaching to a modern way called as digital transformation. The aim of this article is to make a study on how AIML can be useful, if it is implemented in higher education such as in colleges or universities.

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College education, Machine learning, Artificial intelligence

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Polycystic ovary syndrome (PCOS) is a common endocrine disease that affects women. Common features include Obesity i.e. Central Obesity, Menstrual irregularity and weak core muscle strength. Previous studies have proven that vigorous intensity aerobic exercise has reduced BMI & insulin resistance in polycystic ovarian syndrome. These studies's literature suggests that the ap0.plication of swiss ball exercises in combination with aerobic exercises may reduce the body weight and abdominal fat in polycystic ovarian syndrome. Women with polycystic ovarian syndrome also have a small increased risk of having impaired lung function, so in this study, it's important to include diaphragmatic breathing exercise to improve the lung function. So present study is conducted to find out the short-term effects of swiss ball exercises along with Diaphragmatic breathing exercise on body composition and quality of life in subjects with clinically diagnosed polycystic ovarian syndrome.

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 Keywords

pcos, swiss ball exercises, diaphragmatic breathing exercise, quality of life, bmi, body composition, skin fold measurements.

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In this project, we leverage the power of Streamlit, a user-friendly Python library, to create an interactive web application using the Streamlit framework to visualize and analyze the Superstore sales dataset. The application will allow users to explore the data and gain insights into customer behavior, product performance, and sales trends. The goal is to build an interactive dashboard that allows users to explore the data and gain insights into sales performance. This is an analysis report which generates some insight from a dataset named " Super Store". The SuperStore dataset contains data on order details of customers for orders of a superstore in the US. This will create a Streamlit app that displays the Superstore dataset and a bar chart of sales by region. You can customize the app to add more features and visualizations.

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 Keywords

Streamlit, superstore sales dataset, data visualization, interactive dashboard, data exploration, data cleaning and preprocessing, key performance indicators (KPI), user interaction.

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 Abstract

Anticancer drug development is a tedious process, requiring several in vitro, in vivo, and clinical studies. In order to avoid chemical toxicity in animals during an experiment, it is necessary to envisage toxic doses of screened drugs in vivo at different concentrations. Several in vitro and in vivo studies have been reported to discover the management of cancer. This study focused on bringing together a wide range of in vivo and in vitro assay methods developed to evaluate each hallmark feature of cancer These underlying changes are the cause for cancer development, progression, and drug resistance. An in vitro model system which mimics the in vivo cancer is essential to study the various genetic, epigenetic and biochemical changes and also for screening anticancer drugs. The implications of in vitro tumor models in cancer research have been appreciated from early 1900s. The pharmaceutical industry presently relies on several widely used in vitro models, including two-dimensional models, three-dimensional models, microfluidic systems, Boyden's chamber and models created using 3D bioprinting.

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MTT, SULPHORHODAMINE B ASSAY, HEMOCYTOMETER, TRYPHAN BLUE DYE, SCREENING METHODS, ANTI-CANCER DRUG, IN VITRO TESTING, IN VIVO TESTING.

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A lung whiteout occurs when the black in a lung field is replaced by white, suggesting that less air is entering the alveoli, maybe due to a mechanical obstruction, increased fluid, consolidation, or other factors. Lung contusion occurs when the lung's parenchyma sustains direct or indirect damage as a result of chest trauma, resulting in oedema or alveolar hematoma and the loss of the lung's physiological structure and function. Within 24 hours after the injury, there is a reduction in gas exchange, an increase in pulmonary vascular resistance, and a decrease in pulmonary compliance. Patients with serious injuries experience ARDS as a result of the inflammatory response. Chest trauma may cause lung contusions, which can manifest clinically in a number of ways. The most of the time, it goes unnoticed and is only discovered after serious complications have surfaced. Lung contusions can appear alone or in conjunction with chest injuries. It must be highlighted that a blunt or penetrating chest injury need not always be present for lung contusion to exist clinically. Nowadays, as a result of traffic accidents, lung contusion may manifest without actual tissue injury in the chest wall as a condition starting an independent, life-threatening generalised process. Although pulmonary contusion shares some clinical outcomes with lung blast injury, various variables contribute to its aetiology and pathophysiology. It is difficult to describe and identify it as a distinct pathology. Thoracic trauma, pulmonary contusion, pulmonary laceration, and lung contusion are a few methods that, despite sharing some clinical symptoms, appear in various diseases. It is actually difficult to differentiate between pathologies with similar meanings and sometimes similar clinical paths; they may accompany other injuries to the trunk, skull, or extremities, which alone are linked to severe morbidity and mortality. In general, it can be concluded that in addition to high-energy, blunt injuries to the trunk, lung contusion has been a frequently ignored additional radiological finding, despite the fact that its long-term effects are extremely important in determining the injured person's prospects.

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Whiteout lung

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 Abstract

Aim: To study the effects of multidrug therapy in Oral Submucous Fibrosis patients. Study Design: 30, Oral Submucous Fibrosis patients were selected based on clinical criteria of mouth opening. They were administed capsules containing lycopene, selenium, zinc, selenium, manganese, copper etc., to be consumed once a day, in evening, after meals for a month. After a month they were recalled for checking the improvement in mouth opening. Results: 19 patients out of 30 displayed increment in mouth opening at follow up appointments. Conclusion: A positive clinical response was seen in patients in this study.

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Oral Submucous Fibrosis, inter incisal distance, lycopene.

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This Research Paper focuses on the Law that prevails with respect to "Equal pay for Equal Work". The Equal Remuneration Act of 1976 provides for equal pay for men and women for their equal work. The paper will also highlight Constitutional as well as the International Perspective and will cover Article 14 read with Article 39 of the Indian Constitution Act. International Trends with respect to Equal pay are covered and Effective and Promising Actions will be discussed for reducing the gender pay gap. This Research Paper will be concluded by the decided case laws for equal pay irrespective of gender and degree. we will be discussing equal pay for equal work and the Supreme Court's recent judgment that ayurvedic doctors cannot have equal pay as allopathic doctors.

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 Keywords

Constitutional Perspective, Equal Payment, Equal Remuneration, Indian Constitution Act, International Perspective, International Trends

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 Abstract

An Abstract Tartary or bitter buckwheat (Fagopyrum tataricum), locally known as Fafra in the Tribal district of Kinnaur in the Himalayan regions of Himachal Pradesh, stands as a unique and resilient crop cultivated in high-altitude regions, particularly above 2100 meters. This research explores the extensive cultivation practices, distribution, and potential of buckwheat in the Indian and the International market. Two species of buckwheat, Fagopyrum esculentum (Ogla) and Fagopyrum tataricum (Fafra), are cultivated in the Himalayan Mountains of kinnaur region, demonstrating adaptability to diverse climatic conditions. The cultivation of buckwheat has been a significant aspect of the traditional crop pattern in the Kinnaur District, and it also extends across various districts in Himachal Pradesh, playing a vital and crucial role in the agricultural landscape. Its unique characteristics make it suitable for cultivation in challenging terrains and climates. The research emphasizes the need for increased awareness of Tartary buckwheat's nutritional benefits and health advantages. It also addresses the considerable decline in interest among farmers in recent years (Rana et al. 2012) The present study delves deep into the historical significance and distribution of Tartary buckwheat, highlighting its presence in the local, national and the global context. With its adaptability to extreme temperatures and low soil fertility, Tartary buckwheat emerges as a sustainable crop, providing essential nutrients and catering to the nutritional security of mountainous regions like kinnaur and the other Tribal regions of the state, ensuring the need for the healthy and nutritious staple food for the community. In the Tribal district of Kinnaur, this variety of Millet has been the source of food security and an integral part of the rich tapestry of tribal culture and the peculiar food habit of the community. In Himachal Pradesh, the buckwheat cultivation is concentrated mainly in the specific districts, and with Kinnaur playing a significant role in the farming of this super grain, really needs an extensive research and exhaustive monitoring for the creation of favourable environment for the cultivation the ancient grains. The research paper also outlines the cultivation guidelines, including optimal planting periods, seed selection, and soil fertility enhancement. The crops medicinal benefits, particularly its phytochemical rut in, are discussed, emphasizing its potential to address health issues such as high blood pressure and diabetes, thyroid, gut related diseases etc. The unique composition of Tartary buckwheat contributes to its various health benefits such as anti-oxidative, anti-cancer, anti-hypertension, anti-diabetic, cholesterol-lowering, and cognition-improving quality which necessitates the resurgence of the old glory of this ancient super food which can bring about a revolution in the mountainous regions of Kinnaur and other parts of the Himalayas. The study also sheds light on the decline in Tartary buckwheat cultivation in recent years, mainly attributed to the shifting focus of farmers towards horticulture. However, recognizing the nutritional importance of millets, farmers have started once again incorporating buckwheat into their diets, resulting in an increased demand for pseudo-millet flour. To revitalize Tartary buckwheat cultivation in kinnaur and the other parts of Himachal Pradesh, this research advocates for awareness campaigns, scientific interventions, and improvements in cultivation techniques. By enhancing the nutritional content and accessibility of Tartary buckwheat, the research envisions a sustainable and prosperous future for both the farmers and the consumers, contributing to the overall development of the region.

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 Keywords

Buckwheat, Fafra and Ogla, adaptability, nutrition, terrains, sustainable crop, food security, millet, community, research, super grain, guidelines, medicinal, composition, cognition, super food, pseudo-millet, cultivation, sustainable prosperity.

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