Volume 10 | Issue 10

 Abstract

This paper is an attempt to understand how social media has become a place for civic discourse and opinion formation. The virtual public sphere is an extension of Habermass original public sphere. The rise and fall of a goverment is based on public opinion. This is an analysis of understanding how the public sphere of mass society depend on media to constitute their discursive spaces.

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Social Media, Voting Behaviour, Indian Politics, Discourse

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Access Benefit Sharing

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Public and private sector life insurance scheme

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Resveratrol (RV), a non-flavonoid polyphenol found in grapes, berries, peanuts and grape products such as red wine, has antioxidant, anti-cancerous, anti-inflammatory, and anti-neurodegenerative properties. These effects are due to its ability to remove reactive oxygen species, inhibition of cyclooxygenases, and activation of anti-inflammatory pathways through interactions with proteins such as SIRT1, COX, ER, and NF-?B. In the present report an insilico approach is adopted to study the interactions between RV and its analog 3E with the above proteins through a flexible molecular docking tool using molecular virtual docker to hypothesize an efficient possible pathway. The results have revealed analog 3E as an efficient molecule with better docking scores to interact with proteins than RV.

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Resveratrol, 3E analog, molecular docking, SIRT1, COX, ER, and NF-?B.

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Human behavior is mainly influenced by emotion. People are significantly impacted by the music and movies they listen and see. Video has emerged as a popular and dominant medium during this pandemic. In order to develop recommendation systems on the basis of user emotions and deliver dynamic content recommendations to users, this paper attempted to present a system design model. We will suggest the list of movies to the user by applying deep neural network technology to capture real-time emotion and combine it with conventional content-based recommendations. The term "recommender system" refers to a system that may be used to suggest products to a user based on information or criteria such as prior user comments or other user patterns. This study will offer movies or music to the user based on his or her facial expression rather than prior input from the user or any other trend. Therefore, it is important to develop a recommendation system that uses less user data while still functioning well since a user's needs could not be tied to his or her history but rather to the present, which is denoted by the user's expressions.

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Emotion Recognition, Facial Recognition, Speech Recognition, entertainment Recommender, Multimedia Recommender, Deep Learning, Convolutional Neural Networks

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Chatting apps are one of the essential apps in any smartphone. Chatting applications are used to share information, photo & videos. It is mostly used by the college students. This study focused to identify the problems that occur while using the chatting applications and To know the factors that influence the students to use the applications. Chatting applications has many features and storage. The technology of chatting apps brings more advantages than disadvantages. Hence this study need to focusing on the chatting applications that are used by the college students and this study concluded that the WhatsApp is reported to be the most popular chatting app which has the most active users each month. Chatting apps has a great influence in students life and they face False or fraud messages occur while using chatting apps.

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Chatting apps, college students, influence.

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One of the most deadly, prevalent, and aggressive disease, brain tumors have an extremely low life expectancy at the highest grade. Early detection and prompt treatment are therefore crucial in order to avoid the spread of such diseases. In this method, anomalies in the brain are examined using MRI. It takes a lot of time to manually investigate the categorization of brain tumors, and human error is always a possibility. Because of this, doing an accurate analysis quickly is crucial. This method presents a highly accurate Convolutional Neural Network (CNN) algorithm-based automated brain tumor classification algorithm. The segmentation of the brain portion begins with a thresholding technique, which is then followed by a morphological operation. Brain MRI data is classified into benign and malignant conditions using CNN algorithms.

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MRI, Brain tumor, Deep learning, vgg16, machine learning

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In this paper, we explain the process of storing, preparing, and analyzing Twitter streaming data, then we examine the methods and tools available in python to visualize the analyzed data. We believe that using social networks and microblogs to efficiently analyze massive real-time data about the product, services, or global events is crucial for better decisions. The popularity of Twitter as an information source has led to the development of applications and research in a wide range of fields. Humanitarian Assistance and Disaster Relief is one domain where information from Twitter is used to provide situational awareness of a crisis situation. Managerial decisions, stock prediction, and improving traffic prediction are some examples of the use cases getting favorites among researchers.

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Sentiment Analysis And Visualization

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Hypothyroidism as such is not mentioned in Ayurveda directly. Detailed study reveals vitiation of Vata and Kapha resulting Jatharagnimandyata and Dhatwagnimandyata at Rasavaha, Raktavaha, Medovaha, Shukravaha and Manovaha Srotas. Dosha-dushya samoorchhana in various Dhatus results in systemic manifestation of Hypothyroidism. Thyroid gland is situated at urdhwa jatru that is Kapha sthana hence Kapha Dosha Pradhan vyadhi. Vamana Karma with Madanpippali yoga as vamaka yoga selected for the study.As per Acharya Vagbhata, Hypothyroidism is Kapha associated Pitta dushti with vitiation of Vata due to margavarana. Virechana with Trivrut Leha has been selected to eliminate doshas and release Margavarodh. The study was carried out on total 40 registered patients of Hypothyroidism fulfilling the diagnostic and inclusion criteria belonging to either sex irrespective of socio-economic status and religion. The therapy provided Highly significant results on most of all parameters of assessment. Hence our treatment modality can be recommended to all the patients of Hypothyroidism.

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Hypothyroidism, Kapha dusti, Jataragni- Dhatwagni mandya, Vamana, Madanaphaladi yoga, Virechana, Trivrit leham

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Assam is the land of rivers and streams. Considering the very high ecological diversity of the water assets and the blessings of the river and stream network, most of the cities and towns development in this state occurred close to the rivers and streams. Species diversity is acknowledged as foremost trait of ecosystem functioning. Seasonal variation of fish assemblage structure with physico-chemical parameters in Langting stream, Dima Hasao district, Assam were studied based on survey and analysis, conducted during March 2021 to February 2022. During the four seasons each with three different stations were selected for data collection. Shannon diversity index, the Simpson index and Margalef diversity index have been used to access the diversity. To explore the fish assemblage structure, fish samples were collected in seasonal basis from three sites of the stream by using cast net and gill net. A total of 1335 individuals belonging to 5 orders, 20 genera, 12 families and 27 species were collected from the selected sites. 11 species out of total 27 species found in Langting river, belong to order Siluriformes followed by Cypriniformes (10), Perciformes (3), Synbranchiformes (2) and Beloniformes (1). The most abundant species was Nandus nandus. For the season-wise and station-wise diversity of fish, the topmost Shannon?s diversity index (3.25) during post-monsoon at station 1, Simpson index (0.98) in all seasons and stations, Margalef diversity index (7.03) during pre- monsoon at station:1were recorded. The CCA analysis showed that the fishes like Labeo cabsu (C6), Punitus sophore (C7), Punitus tict (C8), Bagarius bagarius (C14) and Anabus testudineus (C24) were found to be strongly correlated with Free Carbon dioxide, furthermore, species like Rita rita (C11), Ompak pabda (C15), Wallago attu (C17) and Europiichthys vacha (C18), showed negative correlation towards water temperature (WT), dissolved oxygen (DO), pH, Alkalinity and Turbidity. Present study could be accountable for further exploration of fish diversity, water parameters or other relevant topics in future. Imposing fisheries regulations to reduce human activities are inevitable to sustain multitudinous fisheries.

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Fish diversity, physicochemical parameters, water quality, Langting stream, conservation status.

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Over urbanisation, Migration, Slums, Urban Environment, Urban Floods,

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One of the most significant social and historical philosophers and religious figures in Indian history was Adi Sankaracharya. Around Kerala, he was born in the eighth century A.D. He was a part of Lord Shiva. This paper attempts to examine the historical and social life of Sankaracharya and the evolution of social and historical exchanges brought about by his system, which disproved some long-held notions. He was founded by Dwarika, Jyoti, Govardhan, Sringeri and the Kanchi Peeth with differing social and political philosophies.

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Sankara, sannyasi, time, social, Govardhan, Dwarika, Jyoti, Kanchi, pitha

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Background: Low Back Pain (LBP) is a common musculoskeletal problem during pregnancy. About one third of the population suffering from LBP report severe pain which is often associated with limitations on a women's ability to work effectively, leading to poor quality of life. Hence, the individual productivity in their routine activities is reduced. This study aimed to find out the effectiveness of Myofascial release technique (MFR) with Gluteus Medius Muscle Strengthening in Postural Low Back Pain (PLBP) during pregnancy. A total of 30 subjects were randomly selected using random sampling technique. Whole procedure was explained to the subjects and the informed consent were taken prior to testing. All the subjects who fulfill the inclusion and exclusion criteria were undergo basic assessment and assigned randomly into two groups named as group A and group B, the baseline measurement was evaluated. This study was done to examine effect of MFR technique with gluteus medius muscle strengthening in postural low back pain during pregnancy. Result shows that there was statistically significance improvement in between the groups A and B. Exercise protocol of group A showed more significant reduction in VAS scale as compared to group B. Exercise protocol of group A showed more significant increase strength in Gluteus Medius muscle as compare to group B. This study shows that MFR with Gluteus Medius Muscle Strengthening was more effective in treatment of postural low back pain during pregnancy compare to normal antenatal exercise protocol by group B within 2 weeks. This study shows that MFR with Gluteus Medius Muscle Strengthening was more effective in treatment of postural low back pain during pregnancy compare to normal antenatal exercise protocol by group B within 2 weeks.

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Myofascial Release Technique, Gluteus medius muscle strengthening, Postural low back pain, Pregnancy.

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A review was conducted to assess the burden of mental disorders and examine different problems and challenges at the community level. This review focused on electronic databases for studies on the prevalence and associated factors of various mental disorders at the community level. The World Health Organization estimates that mental and behavioral disorders account for approximately 12% of the global burden of disease. Various studies have shown a high prevalence of mental disorders among women, the elderly, disaster survivors, industrial workers, children, adolescents, and those with chronic illnesses. We need better living conditions, political commitment, primary health care and women's empowerment.

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Mental health, Mental disorders, Psychiatric disorders

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This study has been undertaken to investigate the mechanical properties AA60633-TiC Metal matrix composite, a Aluminium alloy 6063 with varying percentage of 2%, 4%, 6% titanium carbide is MMC is prepared by liquid metallurgical process. The mechanical strength and hardness studies are done heat treatment and without heat treatment process, the results shows that improved results in heat treated material samples compared to without heat treatment samples.

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Aluinium alloy 6063, TiC, Hardness, Tensile Strength, heat treatment

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Human Resource Management is one of the most important functions being performed in an organizational set up throughout the world & has assumed greater significance in the wake of modern day legislation inspired by Human Resource theories & consideration of a human being as an embodiment of rights & not mere duties.

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Banking, management, managers, human resource, decision

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Solubility, the phenomenon of dissolution of solute in a solvent in a specified condition to give a homogenous system, is the important parameters to achieve desired concentration of drug in systemic circulation for desired pharmacological response. the primary aim of this review was to improve the solubility of BCS Class-II drugs because of their low solubility and dissolution rate. Therefore, the enhancement of solubility of practically insoluble drug was the most challenging aspect of drug development pharmaceutically active molecules with low solubility convey a higher risk of failure for drug innovation and development. pharmacokinetics, pharmacodynamics, and some other parameters, such as drug absorption, drug distribution, protein binding,etc. are majorly affected by their solubility. among all pharmaceutical dosage forms, oral dosage forms cover more than 50%, and the drug molecule should be water-soluble. for maintaining good therapeutic activity by the drug molecule on the target site, solubility and bioavailability are the major factors. hence with the advancement of chemical science, the need of development of pharmaceutical technologies to improve patient compliance for medication. This article aims is to describe the different solubility enhancement techniques to improve the solubility of the drug by different approaches such as traditional and Novel methods like pH adjustment, Micronization,homogenization, Salt formation, Lyophilization, hot melt Extrusion, Solvent evaporation, melt son crystallization, prodrug approach, etc. for the acquirement of the effective absorption and improved bioavailability.

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Solubility Enhancement, Dissolution, Bioavailability, Solid dispersion, BCS Classification,lipophilicity

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Art and Humanities

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Malaria, Fuzzy Expert system, Knowledge base, Fuzzification, Root sum square, Defuzzification, Medical Diagnosis.

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Machine learning (ML) and other forms of artificial intelligence (AI) are finding more and more uses in production environments. The study provides an in-depth analysis of the current state of machine learning (ML) applications in manufacturing settings. Technology advancements in smart mining have made real-time data production, gathering, and exchange possible. For this reason, the mining sector is actively engaged in ML-based research that makes use of this data. In addition, this research provided a comprehensive review of the uses of data sciences and ML in several areas of petroleum engineering and geosciences, including petroleum exploration, reservoir characterization, oil well drilling, production, and well stimulation, with special attention paid to the rapidly expanding field of unconventional reservoirs. A look into the future of data science and ML in the oil and gas business is provided, along with an examination of the features of ML that are needed to improve prediction. Different ML methods with application to the oil and gas sector are compared in detail in this paper. This article also discussed how the advent of AI and ML has sparked a paradigm change in healthcare, opening up new avenues of analysis and prediction within the realm of medical data. The application of AI and ML to combat COVID-19 has recently been demonstrated in a number of studies. The purpose of this article is to provide reviewers with a review of recent research that has used AI and ML in various applications.

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Artificial Intelligence, Machine Learning, Oil Industry applications, Health care related applications, Mining based applications

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