Volume 11 | Issue 5

 Abstract

In recent years many techniques has shown potential in solving the real-world problems. The objective of this paper is to put together the popular optimization techniques for understanding and utilize them for the benefit of the society. The early prediction of the disease can help the social health to be more leaning towards positive ratio. The main aim is to make the person aware about the health and the problems that he will be facing. This can lead the person to consult the doctor or physician at the correct time and acquire proper treatment or measures as required. As it is well said, precautions are better than cure, one must be cautious about the health factor and look deep into it. This project aims at spreading awareness among people by using different biomedical sensors that are available. For the easy analysis of the data that is been collected in the real time can be graphically represented by using the most popular LabVIEW software. Looking forward into the global technical world around, we can see the new technologies like artificial intelligence and machine learning emerging into the data handling. This machine learning will help us to calculate and optimize accurate results and the prediction rate would be more efficient.

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LabVIEW software, Machine Learning, Sensors, Data Acquisition

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Social justice is an application of distributive justice to wealth, assets, and privileges and advantages within a society or a state. The essence of justice is the attainment of common good for all. Social justice involves the creation of a just and fair social order and provides justice for every member of the community. Social justice involves removing in equalities in society and affording equal opportunities to all individuals in social, economic and political affairs of society. This paper attempts to explain Ambedkar's view on social justice and apply it to the present scenario.

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Concept of Social Justice, Ambedkar view on Social Justice,

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Recently, a lot of sports have gained popularity and attention. Many individuals had a strong desire to watch a game being played because there had been no athletic events during the worst of the current outbreak. Cricket is without a doubt the most popular sport in India, with millions of followers who watch the games with fervour. Because they are so invested in the game, spectators analyse each player's abilities in great depth, particularly their shot selection. Interest in evaluating players so that they might be selected for teams has developed as a result of the popularity of fantasy leagues and other services of a similar sort. One of the time-consuming methods is manually identifying superior shots.

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Image Normalization, Convolutional Neural Networks, Cricket Shot Identification, Sports analytics, T20 cricket, Region wise strike rate.

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This chapter provides: o Information to assess the need for services for people with diabetes and its complications o Criteria to assess the success of programmes for the care and early detection of this group of disorders. The chapter does not aim to provide a systematic review of the literature on diabetes epidemiology and health care. There are a number of systematic reviews available in the Cochrane Library and other sources. Instead, the chapter highlights the most recent important studies in these areas and suggests issues, particularly in the domain of health services research, where more information is needed. Considerable documentation and a large measure of agreement exist on the aims of diabetes care and how these might be achieved. The most important consensus documents on the subject are listed in Appendix II and some feature as specific references in the text. (Further explanation and relevant references for the statements made below are included in subsequent sections.)

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diabetes, insulin, hyperglycemic, albuminuria

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Hate speech detection has substantially increased interest among researchers in the domain of natural language processing (NLP) and text mining. The number of studies on this topic has been growing dramatically. Thus, the purpose of this analysis is to develop a resource that consists of an outline of the approaches, methods, and techniques employed to address the issue of Twitter hate speech. This study can be used to aid researchers in the development of a more effective model for future studies. This review focused on studies published over the past eight years, i.e., from 2015 to 2022. This systematic search was carried out in December 2020 and updated in July 2022. Ninety-one articles published within the mentioned period met the set criteria and were selected for this review. From the evaluation of these works, it is clear that a perfect solution has yet to be found. To conclude, this paper focused on presenting an in-depth understanding of current perspectives and highlighted research opportunities to boost the quality of hate speech detection systems. In turn, this helps social networking services that seek to detect hate messages generated by users before they are posted, thus reducing the risk of targeted harassment.

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KEYWORDS: Key Hate Speech, Twitter, Social Media, Hate Speech Detection, Machine Learning

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In 1947, India was divided into two countries, India and Pakistan. Jalpaiguri district was also affected by the partition of India. A large part of Jalpaiguri, covering an area of about 6245 sq km, lies within East Pakistan (present-day Bangladesh). The partition policy adopted by Radcliffe is attributed behind this division. That is, Patgram, Tetulia, Boda, Pachagarh and Debiganj East Pakistan present Bangladesh) are included. As a result, it goes without saying that the size of the district was naturally reduced during this period. Much has already been made about who was responsible for the aftermath of the partition, who had more of an investigative responsibility or whether the partition could have been prevented. The point to be made here is that the Rajvanshi, Kshatriya Samiti were largely responsible for the partition of this country. In this context, Dr. Anandagopal Ghosh has shown in his research that just as West Bengal's borders were contracted, East Pakistan's borders were expanded to support Pakistan's proposal before the partition of the country. Two of the three MLAs of the Kshatriya Samiti were from Rangpur, one from Dinajpur supporting their demand for Pakistan, the entire Rangpur district, three thanas of Jalpaiguri were annexed to Pakistan. Boda, Debiganj, Patgram in Jalpaiguri district were Rajbanshi dominated thanas. If these members had not supported the Pakistan claim, this police station and some police stations in Rangpur district would have been annexed to West Bengal. This not only extended the boundaries of West Bengal but also placed the Rajvansis on the map as a powerful community in the northern part of West Bengal (1). However, it is better not to enter into a debate about what did not happen. The course of history is ever changing. The country was divided, India gained independence. Meanwhile, Pakistan emerged as a new state. But the situation that arose in contemporary times was dire. In other words, when the Hindus of East Pakistan came to West Bengal after leaving the land of the 14 people, they generally met with insults, insults and intolerance at the official and unofficial levels. This was the universal appearance (2). That is, as a result of partition, a panic and horrible situation was created here. As it is true that an adverse effect of the partition of the country came to the public mind at this time, at that time many people were displaced or refugees and moved to the other side of Bengal, who are called refugees in English. They came here and started living in different parts of the city. In other words, they started to build colonies here due to living conditions. Many Hindu families migrated from East Bengal during this period, and they started settling here. Now the question may arise where is the relationship between education and research We will try to find the answer. New colonies began to spring up on the outskirts of the city and were named at the same time. Of course, even though they were displaced, they could realize the absolute necessity of education in the life of common people, at the same time, it can be said that they were influenced to some extent by the educational policy adopted by the British government. It has already been mentioned that the number of schools in Jalpaiguri district is less than the requirement. The picture is more deplorable in the case of girls, meanwhile, as the population increased due to the development of new colonies in the city, the desire to be educated was also noticed among them. It was noticed that the situation was changing from time to time, that is, it can be said that the work of building schools in various colonies, keeping in mind the needs and demands of the local residents, started from this time.

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Jalpaiguri,East Pakistan,Prasanadeva Raikot ,Ashrumati Devi

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-- Aloe vera. amla and cucumber peel are medicinal plant they are used as traditionally from ancient year in various herbal medicines such Ayurveda, siddha, and Homeopathic. Cosmetics and some medicinal products are made up from the mucilaginous tissue in the centre of aloe vera leaf and called Aloe vera gel. Aloe vera gel contains no Antraquinone. Which are Responsible for the strong laxative affects of aloes. However, total leaf extract may contain Antraquinone. Aloe vera contains 75 potentially active constituents like Vitamines, Enzymes, Minerals, Sugars, Saponis, Amino acids. Amla contain Amino acid like glutamic acid, proline, And Aspartic acids etc. Protein, Minerals. Cucumber peels are rich in fiber and contain minerals like magnesium, potassium, and silica. The silica is an essential component to keep your muscles, bones, and tendons healthy. It also hydrates our skin, improves complexion and vision

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: Aloe vera, Amla, Cucumber peels, face cream, Evaluation. .

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In today's life, people believing more in "Prevention is better than cure." Since this is our overly processed food supply lacks the nutrients needed for maximum health is acknowledged by health care professionals. To overcome this problem, the best compounds came into our mind is "Nutraceuticals." Dairy products like milk and citrus fruits are a couple of examples of nutraceuticals. In order to prevent COVID-19 disease, several naturally occurring food ingredients have been investigated. Products like Bee propolis, Melatonin (N-acetyl-5-methoxytryptamine), Palmitoylethanolamide (PEA), Camellia sinensis, Quercetin, Vitamin C, Vitamin D, Probiotics etc are yet no direct evidence indicating the beneficial specifically against COVID-19 but reported benefits of these products in the ICU context suggest that it could be considered for patients. COVID-19 pandemic plays the role of catalyst to made nutraceuticals as emerging business. Government, to provide the best quality of nutraceuticals products to consumers, made Act & Rules for manufacturing, processing, selling, import-export, packaging & labelling of nutraceuticals product. Different countries have different authorities for nutraceuticals. In India, FSSAI is the working authority which control are the actions. FSSAI approved nutraceuticals product get a unique 14-digits number with symbol of FSSAI on product package. In USA, USFDA defines Nutraceuticals as Dietary Supplements under DSHEA & DSHEA is the working authority. DSHEA regulates all the regulatory requirements like product licensing, proof of safety and effectiveness, labelling, health claims, GMP, reporting of adverse reactions, and clinical trials. In Japan, MHLW defines Nutraceuticals as Food for Specified Health Use & takes all the necessary actions regarding their quality, safety & efficacy. The nutraceuticals products which are approved by MHLW get a symbol of FoSHU on their product package.

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Nutraceuticals, COVID-19 disease, FSSAI, Dietary Supplements, Clinical trials

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This paper examines seven stories of successful women entrepreneurs in India. It looks at the problems they faced and how they overcame them. The research was done by searching various websites about women and studying their businesses. The study found that women entrepreneurs in India have to deal with many challenges, like how society thinks they should act, not having enough money, and few chances to meet other business people or get advice. But the case studies also show that these difficulties can be overcome with hard work, new ideas, and good planning. The study shows that helping women entrepreneurs in India is important because it can help not just the women, but also their communities and the economy as a whole. The study advises or suggests that people in power or policy makers should help women-led businesses grow. The whole study is divided into 7 case studies selected randomly from the web.

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Women Entrepreneurs, Successful Entrepreneurs, Case study, Startups.

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 Abstract

प्रस्तुत शोध का उद्देश्य विद्यार्थियों की पर्या जागरूकता में ईको क्लब की सार्थक - भूमिका है। परिकल्पना विद्यार्थियों की पर्यावरणीय जागरूकता में ईको क्लब की सार्थक भूमिका नहीं है। खण्डवा जिले के 5 सरकारी स्कूल के 100 विद्यार्थियों का चयन किया है। चयन यादृच्छिक चयन से किया गया है और प्रश्नावली विधि का उपयोग करते हुए विद्यार्थियों का मत जानकर आँकड़ों का संकलन किया और इन आँकड़ों का सारिण्यकीय विश्लेषण किया गया है और पाया गया है कि विद्यार्थियों की पर्यावरणीय जागरूकता में इकोक्लब की धनात्मक भूमिका है। ईको क्लब द्वारा संचालित कार्यक्रमों से जैसे करो व सीखो, कचरा प्रबंधन, बिजली का सही उपयोग, पानी बचाओ, वृक्षों एवं प्राणियों का संरक्षण के द्वारा विद्यार्थियों में पर्यावरणीय जागरूकता का विकास हुआ है।

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विद्यार्थियों की पर्यारणीय जागरूकता में ईको क्लब की भूमिका

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 Abstract

budh sanskruti ke vishvyapi aayam

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budh sanskruti ke vishvyapi aayam

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Researchers have shown a favorable correlation between dancers' and non-dancers' levels of self-esteem and happiness. When compared to the general population, dancers tend to have greater levels of happiness and confidence. One survey of university students revealed that dance majors tended to be happier and more confident than their non-dancing major peers. The study's author conjectured that engaging in dance-based activities may boost confidence and happiness by improving participants' perceptions of their own bodies, physical abilities, and expressiveness. The scales Rosenberg's Self-Esteem Scale and Lejuniorsly's Subjective Happiness Scale were used to collect the data in this research, along with a demographics questionnaire. The data suggests that dancers have higher levels of self-esteem and more happiness than non-dancers.

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Self- Esteem, Happiness, Dancers, Non-Dancers

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Switchgrass (Panicum virgatum L.) is one of the most promising biomass crops for the production of biofuel these days because it is rich in natural diversity, and has adapted to a large portion of the global continents and sub-continents. Despite the increasing importance as a dedicated energy crop, we know little about the basic biology underlying the agronomic traits related to feedstock production. Compared to other crops or high-value forage plants, the genetic and genomic resources suitable for switchgrass molecular breeding, biotechnology, and molecular biology research are still lagging far behind. Our aim to develop functional genomic tools for switchgrass. Switchgrass has large genome and it is not sequenced. Hence it is necessary to develop new molecular markers which will accelerate breeding. Activation tagging involves mutation in the gene which is mutated by transposon. Switchgrass has polyploidy hence it is necessary to have a mutation by overexpressing gene. This can be done by activation tagging which involves use of enhancer in transposon so it can cause overexpression of gene at the site of insertion which can result in morphological or physiological changes.

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Biomass, Genomic Tools, Activation, Insertion, Gene

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Abstract: Ladakh, a region in the northern India, has history that is connected with Trans-Himalayan trade. The region was at the nodal point of whole complex trade routes. These routes paved way for exchanges of ideas and commodities. One of the most significant articles that shaped the region's political and economic history was the wool trade. Such was the significance of wool trade that every authority fought for the monopoly of this trade. The major invasions that Ladakh faced from its neighbours were because of their interest in the wool trade.

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Ladakh, Trade, wool trade, Kashmir

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Secure file storage is essential to protecting sensitive data from unauthorized access or tampering. Hybrid cryptography is a widely used technique combining the benefits of symmetric and asymmetric encryption to provide robust security. This study has been undertaken in order to provide an efficient way to secure confidential files and sensitive information. In general, either a strong encryption algorithm is used to protect files or either authentication is done, or digital signatures are used. This provides only midlevel security to the files. In the proposed system, all these security implications are provided along with access controls. Moreover, three strong symmetric encryption algorithms are used along with an asymmetric algorithm that secures the key. The Key Derivation Function generates the key using the password and hash. To add an additional layer of protection to the files, the cipher texts are digitally signed using a Digital Signature Algorithm. In this proposed research, the contents of the file are divided into 3 segments. Each segment is encrypted using a different symmetric algorithm. The first segment is encrypted using Advanced Encryption Standard (AES) Algorithm, the second segment is encrypted using Fernet Algorithm and the third segment is encrypted using ChaCha20 Algorithm. The Key Derivation function used is Argon2. This adds an additional layer of security as it provides better protection against brute-forcing attacks. The keys are digitally signed using ECDSA (Elliptic Curve Digital Signature Algorithm) and the keys and signature along with the cipher texts are stored in a password-protected zip file with access controls set in such a way that only the user can read/write the file. The password is provided by the user and the user must use it to recover his/her files. This file is uploaded/stored in the database with access controls. This method provides all kinds of security measures such as confidentiality, integrity, authentication, authorization, access controls, and non-repudiation.

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Secure Storage, AES algorithm, Fernet Algorithm, ChaCha20 Algorithm, Digital Signature, ECDSA Algorithm, Key Derivation Function, Argon2.

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The topic of crime and the demand for effective deterrents are covered in the work. The rising issue of criminal activity has shown that conventional crime-solving methods are ineffectual. Consequently, there is a growing need to foresee crimes in advance or develop a "machine" that might help law enforcement personnel avoid crime. The suggestion is to use algorithms and techniques from computer vision and machine learning to overcome this problem. The paper provides concrete examples of applications of these strategies, providing motivation for additional investigation in this area. This investigation's main goal is to examine how combining ML and computer vision can enable law enforcement organisations to identify, stop, and solve crimes with unmatched precision and quickness. By utilising these cutting-edge technologies, law enforcement organisations might undergo a revolution and efficiently battle crime.

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Machine Learning,computer vision,Artificial Intelligence,3D shape Model,Neural Network 1. PURPOSE

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Music is an integral part of our lives. In this era of technological advances, appropriate music recommendations are much needed as soothing music according to moods helps humans to relieve stress. The objective of this project is to develop a personalized system, where the user's current emotion is analyzed with the help of a bot. The bot will interact with user to identify the mood. By analyzing the tone of the text and speech used by the user, mood can be identified. Once the mood is identified, the application will recommend music based on the user's mood. The project utilizes the Rasa framework for chatbot interaction, allowing the user to have a more natural and interactive experience. The deep speech recognition layers are used for recognition of emotions through speech. The model is going to use a Natural Language Processing (NLP) Algorithm for textual analysis and Convolutional Neural Network (CNN) along with spectrogram analysis to predict the mood based on the tone of the user. To recommend music based on the emotions Last.FM API will be used.

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Bot, NLP, Spectrogram, Recommendation System, Speech Emotion Recognition.

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Parenting style is a pattern of behaviors, attitudes, and approaches that a parent uses when interacting with and raising their child. Personal growth is a process of psychological maturation that involves learning from the mistakes we made and developing new strategies to understand better and adapt to the world. This study was aimed at providing a light on how parenting styles impact the overall personal growth of an individual. Although the parent's style of treating their children is very different in comparison to others but it is necessary to know how the child takes it. A quantitative study was done involving hundred participants of 10-30 years were considered in this research. Perceived Parenting Style Scale & Personal Growth Questionnaire was used as a measure of the study. It was found out that there was a negative relationship between parenting styles and personal growth.

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Parenting style, Personal Growth, Negative Relationship

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HERBAL COSMETIC - This plays significant role in today's life. Moreover current trend is going green in all industries including Mainly cosmetic to adopt more natural way of life(1) The preferable choices and natural food herbal , medicines and natural curing practices for healthy life and also there is much demand for organic vegetable product. (2) The usage of herbal cosmetic has been used for folds in personal care system . Natural product have been used for folk medicine purpose throughout the whole world (3) These were used from thousands of years many of these have pharmacological properties such as antimicrobial anti-inflammatory and others. These are useful to human (4) Herbal extract are cultivated all over the world and is prime name is horticulture sector. Cosmetic made up of herbal extract for skin care and hair care is very popular for their reliability (5)

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Oil bees wax honey balm

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The Costus specious, often known as ketaki, is an important Ayurvedic and medicinal plant used to cure a number of diseases. Costus speciosus (koenex, retz.), an Indian Ayurvedic herb, has a long history of therapeutic use in Western medicine. It is being studied for its antioxidant, anticholinesterase, larvicidal, antihyperglycemic, antifungal, antibacterial, anti-inflammatory, analgesic, antipyretic, antidiuretic, estrogenic, and antistress effects, among other pharmacological traits. The rhizomes of these plants are often used to treat diabetes and are a replacement source of diosgenin. Along with examining the pharmacological and phytochemical properties of Costus specious. This study proposed that plants` medicinal and therapeutic effects should be studied, as well as their ornamental and herbal properties. As a result, the current study offers a thorough examination of the morphology, phytochemistry, and pharmacological characteristics of Costus specious in an attempt to offer guidance for future research.

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Costus speciosus, Ketaki, Pharmacological activities, Medicinal value of Costus speciosus

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