Volume 11 | Issue 6

 Abstract

Recent advancements in AI have surpassed our wildest expectations, particularly in the realm of Deep Neural Networks. These breakthroughs have enabled AI to manipulate various forms of multimedia, including video, audio, and photos. Deepfakes, a novel technique, allow for the complete transformation of multimedia, molding it into any desired perspective, whether positive or negative. The implications of realistic and high-quality deepfake videos are concerning, as they contribute to the dissemination of invasive information, incite political unrest, create social imbalances, and instill fear in vulnerable individuals. While creating deepfakes using AI-powered tools has become easier, detecting them and restoring the original layered multimedia from rasterized or altered versions remains a significant challenge. This situation fosters a sense of fear, instability, and profound desperation within national democracies. Consequently, the need arises for a system capable of assessing the authenticity of photos ensuring the safeguarding of individuals' security and privacy.

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Deep learning, Face-Swapping, DeepFake,super- imposition, MesoNet4, Generative Adversarial Networks (GANs), Autoencoders, etc.

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This study aims to find the relationship between spirituality and aggression, job satisfaction, mental health, and overall life satisfaction. The scales used for the research are The Spiritual Intelligence Self-Report Inventory, Minnesota Satisfaction Questionnaire (21), Buss- Perry Scale, DASS21, and The Satisfaction with Life Scale. The study was conducted on an age group between 20 to 50 who are working professionals. The data collected have been analyzed by SPSS statistical software, Pearson correlation, and Linear Regression. Based on the study conducted it was found that there was a weak significant relationship between spirituality and job satisfaction and life satisfaction. It was also found a weak negative correlation between spirituality, anxiety and stress. However, there was no statistical significance found between depression and aggression.

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spirituality, job satisfaction, aggression, life satisfaction, depression, stress, anxiety

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Empty Nest indicates the emotional and psychological distress and misery experienced by parents when their children move out of their homes and live independently. (Woll,M. 2022). Life satisfaction, on the other hand, refers to a person's overall wellbeing, happiness and contentment with life (Hall,A.2014) This research explores the relationship between empty nest syndrome and life satisfaction of middle aged adults. A total of 249 parents, including 120 fathers and 129 mothers aged between 45 to 65+ years, were surveyed. The study's objectives and hypotheses were constructed to meet the research aim, using the Empty Nest Syndrome Questionnaire and Life Satisfaction Scale for data collection. The findings suggest that there was a significant gender difference in empty nest syndrome, while there was no significant gender difference in life satisfaction of middle aged parents. Additionally, there was a negative correlation between the two variables signifying that an increase in empty nest syndrome led to a decrease in life satisfaction. Limitations and future implications of the study were also discussed. Moreover, the parents were encouraged to engage in self-care activities, mindfulness, pursue hobbies and interests and were motivated to seek social support. The findings of the study can be used to develop interventions to help middle aged adults manage their feelings of isolation caused because of empty nest and improve their life satisfaction.

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Empty Nest Syndrome, Life Satisfaction, Gender, Indian parents, Wellbeing

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Shear As a result of modern civilization, constructions of multistoried building of elevated height are increasing day by day. These structures are made safe prior to earthquake and wind load. For the durable constructions, the study of impacts of earthquake loads and wind loads on these structures with respect to different elevated heights is compulsory. It is exceptionally rudimentary to consider the impacts of horizontal loads initiated from wind and earthquakes in the analysis of strengthened RCC structures. In this study, three different types of asymmetrical buildings are used in seismic zone V of G+20 floors are selected for analysis and layouts of these structures are drawn in AutoCAD. These structures are modeled in STAAD PRO. All the floor finish (FF) and live loads (LL) were considered as per design and code. After successful modeling, the structures were analyzed for both earthquake and wind load on STAAD PRO as per the codal information. The purpose of this research is to conduct a thorough comparative examination of an asymmetrical multistory structure subjected to wind and seismic stresses in seismic zone V. The structural reaction and performance of the structure are evaluated using the STAAD.Pro programme. The basic goals of this study are to investigate structural factors such as storey drift, time period, base shear, and average displacements. The analysis is carried out the help of Staad Pro V8i Structural Software. The building model in the study has twenty storeys with constant storey height of 3.3m. Models are used to analyze with different bay lengths and the number of Bays and the bay-width along two horizontal directions are considered un equivalent to make building asymmetrical values of SEISMIC ZONE FACTOR (z) in ZONE V is taken and the corresponding effects are interpreted in the results. The technique entails a thorough examination of the building's structural characteristics in accordance with applicable codal rules such as IS 456-2000, IS 1893-2016, and IS 875 parts 1 to 5. The structure's asymmetrical character, as well as its special geometrical and material qualities, are modelled in the STAAD.Pro programme. The wind forces are simulated using the relevant wind load provisions, and the seismic forces are estimated using the seismic zone V design response spectrum.

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Analysis, Assymetrical building, seismic zone V

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"Svayamvara and Other Poems: A Tapestry of Emotions and Reflections" by Jayanta Mahapatra is a collection of poetry that delves deep into the human experience, offering a rich tapestry of emotions, introspection, and profound reflections. The collection encompasses a diverse range of themes, including love, longing, mortality, spirituality, and social consciousness. Mahapatra's mastery of language and imagery creates a captivating poetic landscape that engages readers on both intellectual and emotional levels. The poems explore the complexities of human relationships, the fragility of existence, and the eternal search for meaning. Through evocative verses, Mahapatra invites readers to explore their own innermost thoughts and feelings, provoking introspection and fostering a deeper understanding of the human condition. The collection serves as a testament to Mahapatra's poetic brilliance and his ability to evoke a range of emotions, leaving a lasting impact on readers. Svayamvara and Other Poems is a compelling journey through the myriad shades of human experience, reminding us of the power of poetry to illuminate the depths of our shared humanity.

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Emotions, Mortality, Spirituality, Human relationships, Longing, Fragility of existence

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Rebecca Maria Torres is an Associate Professor in the Department of Geography & the Environment and holds a post of Associate in Teresa Lozano Long Institute of Latin American Studies (LLILAS) at the University of Texas at Austin. Her areas of interest include migration, gender, children's geographies, rural restructuring in Latin America, and activist/engaged scholarship. As a feminist, Rebecca was not simply taking notes, in a courtroom normally observing the things which was masculinist, going on, but she was making spaces of migration controls & telling what can expect some unexpected findings in what she was doing as a feminist with geopolitics on her mind. In my present research, I need to momentarily uncover to you the likely occasions that will happen in the fairly not so distant future. The world's nation-states are competing for limited resources in our current economic and political structure. For the time being, that will remain the case. Spirit has provided us with sufficient resources to support the entire planet's population. However, our self-centred and avaricious sides of humanity are also in play because we live in a polarized world.

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Migration, Gender, Children's geographies, Feminist, Rebecca Maria Torres, feminism, Geopolitical feminism

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Abstract-- Credit cards are widely used in most financial aspects due to the exponential development in online purchases, which increases the risk of fraudulent transactions. By examining different user behaviour from past transaction history databases, these fraudulent transactions can be demonstrated. Any deviation from the usual patterns of behaviour raises the risk of a fraudulent transaction. In this research, ensemble learning algorithms (XGBoost) is used. The builded system will determine whether a transaction is authentic or fraudulent using this models. Therefore, financial losses brought on by fraudulent transactions can be reduced by incorporating this methodology into fraud detection systems.

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Keywords: Machine learning ,Open CV, XGBoost, Decision Tree, Logistic Regression, Random Forest

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The Companies Act 2013 has mandatory for corporate to spend 2% of the average profits towards Corporate Social Responsibilities. The purpose of this study is to analyze the CSR contribution for health and sanitation. The study is to know corporate social responsibility contribution for health and sanitation of selected Maharatna and Navaratna CPSEs in India and in order to analyze the position of the individual companies are to be calculated and also analyze allocated CSR contribution for health and sanitation. The researcher has selected each five Maharatna and Navaratna CPSEs in India are examined. The result of this study is no significant difference between the ranks of each Maharatna and Navaratna CPSEs.

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Companies Act, Corporate Social Responsibility, Maharatna, Navaratna, CPSEs, Health and Sanitation,

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Agriculture is an important field all over the world where there are many challenges in solving problems in the process of estimating crops based on the conditions. Many solutions have been proposed regarding this problem using IOT based services and Mechanical technology to reduce manual work. These methods are mostly useful in the case of reducing manual work but not in prediction process. It is necessary to be able to predict the optimal crop to be planted based on the soil conditions to minimize losses and maximize profits. In this project we build Machine Learning models to recommend optimum crops to be cultivated by farmers based on several parameters and help them make an informed decision before cultivation. Dataset is prepared with Nitrogen, Phosphorous, Potassium and pH values of the soil. Also, it also contains the humidity, temperature and rainfall required for a particular crop. In this system, we can give input as various features of soil and temperature, humidity, rainfall conditions of the region, based on which a suitable crop will be recommended.

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Random Forest, Decision Tree, and K-Nearest Neighbors (KNN)

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The topic which I chose to discuss on is 'Implementation of Rasa and Bhava as mentioned in Bharatmuni's Natyashastra in one of the Classical Dance Form "Kathakali". Natyashastra is one of the prominent and important Indian literary theories. It's an attractive topic as it connects me to the art and culture of India. 'Natyashastra' comes under Aesthetics. Now, aesthetics is a branch of dealing with the nature of art, beauty and taste with the creation and appreciation of beauty. Aesthetics and Natyashastra are related, as Natyashastra aims to empower aesthetic experience and deliver emotional areas through the medium of theatres (Rasa). Now- a- days , everyone is more attracted to visual things , it's proven that what we see stays longer in our mind than what we hear and theatres are best means to talk about good deeds and implement those in people. Ancient Sanskrit writings like the Natya Shastra are the source of many of the elements and facets of Kathakali. According to estimations ranging from 500 BCE to 500 CE, the Kathakali, which is credited to the sage Bharata, was first fully compiled between 200 BCE and 200 CE. It combines musical performers, dance, and hand and facial gestures to express concepts as a form of performing art. Through this research paper, I have tried to examine different Rasas and Bhavas applied in this dance form.

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Indian Literary Theories, Natyashastra, Bharatmuni, Classical Dance, Rasa, Bhava, Kathakali, culture, Aesthetics, navarasa, Sthayi Bhava, Sanchari Bhava, Vyabhichari Bhava.

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The micro, small, and medium enterprises (MSME) sector has emerged as a significant contributor to economic growth and employment generation in India. This research paper aims to investigate and analyze the role of the MSME sector in employment generation in India. The study examines the current status of the MSME sector, identifies the factors influencing employment generation, explores the challenges faced by the sector, and suggests policy measures to enhance its contribution to employment. The research employs a descriptive approach, combining quantitative analysis of secondary data from various sources such as research articles,government publications, and MSME annual reports with analysis of expert interviews relevant to the title of the paper. The findings indicate that the MSME sector plays a crucial role in employment creation, particularly in rural and semi-urban areas. However, the sector faces challenges such as limited access to finance, inadequate infrastructure, and regulatory complexities. The paper concludes by recommending strategies for promoting the growth of the MSME sector, including facilitating access to credit, improving infrastructure, streamlining regulations, and promoting skill development initiatives.

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MSME Sector, Employment Generation, Economic Growth, Contribution, Rural Areas, Semi-urban Areas. KVIC

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Childhood wasting is a serious public health concern in India. Thus, there was a strong need to identify determinants of stunting and analyse transition in its determinants over a period. National Family and Health Surveys (NFHS) are extensive, multi-phased surveys covering all states/Union territories of India. Primary analysis included children (<5y) from each NFHS surveys; NFHS 2 (N= 5,313), NFHS 3 (12,960) and NFHS 4 (48,265) respectively. Children with reported wasting were 14.1% , 19.1% and 21% in NFHS 2, 3 and 4 respectively. During NFHS 2, higher odds of wasting were Child's age in months (OR: 0.412, p < 0.001), gender of the child (OR: 0.672, p < 0.01) and birth order (OR: 2.942, p < 0.01). During NFHS 3, significant factors affecting wasting are Child's age in months (OR: 1.622, p < 0.001), Gender of the child (OR: 0.651, p < 0.001) and Maternal BMI (OR: 0.619, p < 0.05). During NFHS 4, the higher odds of wasting were child's age in months (OR: 1.624, p < 0.001), size of child at birth (OR: 1.586, p < 0.001) and the Number of Antenatal visits (OR: 1.463, p < 0.001). Programs and policies already in place need to be enhanced, and a focus has to be placed on factors that have consistently emerged over the past 20 years as indicators of childhood wasting.

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Wasting, NFHS, determinants, undernutrition, health, maternal BMI, Gender

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The need to assess the role of mothers as primary caregiver becomes important to study as it suggests various dimensions of growth and development of young adults. Self is continuously growing both negatively and positively. Young adults are important population to study as their self is now more exposed to find more meaning to life in terms of value formation, forming healthy relations, a balanced self internally and externally. Self-concept is what beliefs, values, a person forms for himself over the period. It is influenced by parents, environment, social environment majority in growing years of the child. Looking specifically for this paper, employed mothers versus non-employed mothers is used as a parameter to assess the self-concept of young adults. Total sample of 100 Young Adults are used to study, age group 18-25 years. Self-Concept scale developed by K.P. Nimbalkar, comprises of 40 items assessing various dimensions of self-concept. Statistics measures of mean, standard deviation and t-test is used to analyse the data. The findings suggest that there is a significant difference on the level of the self-concept of young adults of working mothers and non-working mothers (t-0.048, p<0.05). The self-concept of young adults of working mothers are more than the self-concept of young adults of non-working mothers.

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Self-Concept, Working Mothers, Non-Working Mothers

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The rise of digitalization has resulted in an in-crease in online transactions, necessitating the need for secure and dependable methods of document verification. Traditional document verification methods frequently involve manual and time-consuming processes that are vulnerable to fraud and error. Blockchain technology, which provides a secure, transparent, and tamper-proof platform for validation, has emerged as a potential solution to this problem in recent years.The use of blockchain for online document verification entails the use of a distributed ledger system that records and validates the authenticity of documents in a decentralised manner. The procedure entails creating a digital fingerprint of the document, which is then stored on the blockchain. The blockchain creates a secure and immutable record of the document, preventing it from being altered or tampered with.The increased security provided by blockchain is one of the primary advantages of using it for online document verification. Because the blockchain is decentralised, there is no single point of failure, making it more resistant to hacking and other types of cyber attacks. Furthermore, the use of cryptography ensures that the documents are encrypted, which increases their security.

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Document Verification, De-Centralized System, Ethereum-Based BlockChain Network.

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 Abstract

Safal sampreshan arthat sanchar ki sikshan adhigam prakirya me upyogita

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Safal sampreshan arthat sanchar ki sikshan adhigam prakirya me upyogita

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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PIR Motion Detector,Sound Detection Sensor,DHT11 Sensor,ESP-12F ESP8266 Wifi Module,Motor Driver Module__

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Most of people going to far off districts find it trying to get onto the right way. These issues grow up during the night time, in view of nonappearance of detectable quality and non-working of GPS, etc since not any place all over town we find versatile associations which can be used for course. Around then in case there is any one additional means which can outfit the wayfarers with the right pathway and fitting region, it will surely reduce the furor and urge more explorers to go making the rounds outing. Accordingly, to beat this issue, we really want to present Li-fi in the streetlights.

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Index Terms - GPS, LCD, LED, LI-fi, Navigation, Wireless communication..

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Abstract Infrastructure is the backbone of a teacher education institution to maintain the quality education. Infrastructure of teacher education institutions includes important elements like classroom, library, laboratories, recreational facilities, staff-office facilities and health-sanitation facilities. Teacher professional excellence means teacher capabilities in teaching, training with pedagogical and technological skills, and research aptitude resulting publication. The study was destined to find out the relationship between infrastructure and teacher professional excellence of teacher education institutions. Population was consisted of teachers of B.Ed. institutions of Binod Bihari Mahto Koyalanchal University (BBMKU), Dhanbad; Ranchi University (RU), Ranchi; and Vinoba Bhave University (VBU), Hazaribag; Sample of 154 teachers from 25 colleges under BBMKU, RU and VBU taken and primary data were collected by standardized tool 'B.Ed. Infrastructure Quality Observation Schedule' and 'Teacher Professional Excellence Tool'. Data were analysed by Pearson correlation by use of SPSS software. Findings showed that there is no significant correlation between the infrastructure and teacher professional excellence of teacher education institutions, (p=0.492, N=22) at 0.05 level of significance. The study reflects that teacher professional excellence is not significantly associated with the infrastructure of teacher education institutions, that teacher are independent of infrastructure, at the same time infrastructure facilities are essential to bring up quality education for the learners and so institutional learning output.

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Infrastructure, Teacher professional excellence, Classroom infrastructure

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The study of fluid dynamics, a subfield of physics, focuses on the Newtonian or non-Newtonian behaviour of fluids. Non-Newtonian fluids display a more complex behaviour than Newtonian fluids, which show a linear relationship between shear stress and shear rate. An overview of the several fluid types used in fluid dynamics is given in this review article, including viscoelastic fluids, shear-thinning and shear-thickening fluids, Newtonian fluids, and more. Each type of fluid's characteristics and uses are covered, with an emphasis on their significance in real-world fields like materials research, biomedical engineering, and the creation of consumer goods. The article emphasises how crucial it is to comprehend fluid behaviour in order to optimise procedures and create new materials and goods.

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Review Article on Various Types of Fluids

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