Volume 12 | Issue 6

 Abstract

Here is a concise abstract on the formulation and evaluation of multipurpose herbal creams, based on the given search results:Herbal cosmetics are products used to improve appearance and skin health due to the therapeutic properties of plant ingredients. The aim of several studies was to formulate and evaluate multipurpose herbal creams containing extracts from various medicinal plants.Common herbs used include Aloe vera, neem (Azadirachta indica), tulsi (Ocimum sanctum), turmeric, a nd Nardostachys jatamansi. The creams were typically prepared as oil-in-water emulsions by incorporating the herbal extracts into a cream base. Evaluations were conducted on parameters such as appearance, pH, viscosity, spreadability, extrudability, antimicrobial activity, and stability. Most formulations exhibited good physicochemical properties, homogeneity, and no signs of phase separation. Antimicrobial testing showed inhibition against Staphylococcus aureus. Skin irritation studies found the creams to be safe for topical use. The herbal creams were concluded to be stable, safe, and potentially synergistic in producing multipurpose effects on the skin like healing, smoothing, and conditionin

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Cosmetic, Herbal cream, Turmeric, Papaya, Aloe-vera, Neem, Tulsi

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The study examines the intricate relationship between electronic payment systems and financial inclusion in India, where traditional banking infrastructure is often lacking. Utilizing a mixedmethods approach, the research evaluates the penetration of electronic payment systems among various population segments and assesses their impact on key financial inclusion indicators. The findings highlight significant impacts of mobile banking apps on financial inclusion and fintech adoption based on employment status, while income and education levels show no significant influence on usage patterns and challenges. The study provides actionable insights for policymakers and financial institutions to enhance the adoption of digital financial services, ultimately promoting inclusive economic growth.

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Electronic payment systems, Financial Inclusion, Mobile banking, Digital financial services, Economic growth

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A new generation of Wireless Sensor Networks (WSNs) has increased a massive attention of researchers on its design challenges and various applications. In the remote environment, sensor nodes are randomly deployed or pre-fixed to transmit the gathered information over a distance through wireless channels. Sensors in the network are limited with energy supply, memory, communication and computational capabilities. Due to energy constraint, nodes communicate within the shorter communication range. Hence, the energy efficiency, throughput, scalability and lifetime of the network are the key issues in WSN. In order to accomplish these issues, the clustering model has been introduced. At present, a cluster-based network is an extremely vibrant research area where nodes are grouped into clusters to minimize the communication overhead, energy depletion, end-to-end delay and ease the path management. In addition, clusters provide a structured way of communication for the unstructured network and make the resources more efficiently. The objective of this paper is to review and analyze the taxonomy of different attributes of clustering. The paper also presents the optimal clustering techniques and the prominent clustering algorithms with several design and performance metrics.

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Sensor Nodes, Clustering, Intra and Inter-Cluster, Single and Multi-hop, Cluster Head

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Facial expression recognition is a crucial area of study in the field of computer vision. Research on nonverbal communication has shown that a significant amount of deliberate information is sent via facial expressions. Facial expression recognition is a crucial field in computer vision that deals with the significant impact of nonverbal communication. Expression recognition has lately been extensively used in the medical and advertising sectors. Facial emotion recognition is a technique that examines facial expressions in static images and videos to uncover information about an individual's emotional state. Facial expression recognition (FER) is a vital area of study within computer vision due to its significant impact on nonverbal communication. This review paper synthesizes recent advancements in FER, focusing on the integration of deep learning techniques and generative models to improve accuracy and robustness in diverse settings. Key contributions include enhancements in handling facial feature variability, occlusions, and lighting conditions. Notable methods such as Generative Adversarial Networks (GANs) and convolutional neural networks (CNNs) are explored for their effectiveness in creating and recognizing facial expressions. The research underscores the importance of both local and global facial features, demonstrating that a hybrid approach often yields superior results. Additionally, the paper discusses the application of FER in fields such as healthcare, human-computer interaction, and psychology, highlighting the broad implications of improved FER technology. By examining datasets, methodologies, and outcomes from various studies, this review identifies current trends and challenges, proposing directions for future research to enhance the understanding and interpretation of human emotions through facial expressions.

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Facial behavior analysis, Facial expression recognition, Datasets, Tools, Models, Complete facial recognition, incomplete facial recognition.

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The proliferation of cloud computing has transformed data storage, processing, and management, offering unprecedented scalability and flexibility. However, this evolution has also introduced significant security and privacy challenges. This paper reviews recent advancements in cloud auditing, privacy preservation, and cloud data security, highlighting key developments such as privacy-preserving public auditing schemes, dynamic auditing frameworks, and blockchain integration. These studies utilize advanced cryptographic techniques like homomorphic encryption, secure multi-party computation, and attribute-based encryption to ensure data integrity and confidentiality while facilitating secure data sharing. Blockchain technology is leveraged to create immutable and transparent audit trails, enhancing the reliability of cloud services. Future research trends identified include enhancing blockchain scalability, exploring post-quantum cryptography, leveraging AI for adaptive security, investigating federated learning for privacy-preserving data sharing, and developing quantum-resistant algorithms. Additionally, focusing on IoT and edge computing security, user-centric privacy solutions, compliance frameworks, resilient cloud architectures, and economic incentive models will be crucial. These efforts aim to address emerging challenges and opportunities, ensuring robust, efficient, and user-centric cloud security in an evolving technological landscape.

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Blockchain integration, Cloud auditing, Cloud data security, Homomorphic encryption, Privacy preservation

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Language policy in education is a significant element of national identity and cultural policy. The removal of German as a third language in the Indian school educational system is a decision that carries profound implications. This policy shift, influenced by historical, geopolitical, and cultural factors, impacts not only the educational landscape but also India's position in the globalized world. This article explores the historical context, the reasons behind the decision, and its implications for globalization from a geopolitical perspective.

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#language #german #learning #deutsch #daf

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Natyashastra is accepted as the foundation text of Indian music and Panchamveda. In this context, it is also very important to know what is the usefulness of Natyashastra in present day music, because the scriptures are our heritage and hence their study holds an important place. Knowledge also fulfills curiosity and past discoveries become the basis of new research. In this context, the usefulness in the context of musical instruments, dance and drama has been analyzed.

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indian callsical music natyashastra

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The Researcher did review literature pertaining to relation between iron deficiency anaemia, depression in adolescent girls. Objective of this review is to assess the relation between iron deficiency anaemia, depression in adolescent girls. Iron deficiency anaemia is a common problem among adolescent girls and women, with significant consequences on personal health. One of the causes of iron deficiency anemia is inadequate nutritional intake. Women, especially those young and/or pregnant, are at high risk of experiencing an iron deficiency. In India adolescents constitute about 25% of the population and form an important physiological group whose nutritional needs demand special attention. The prevalence of anaemia is disproportionately high in developing countries, due to poverty, inadequate diet, certain diseases, pregnancy/lactation, and poor access to health services. Material and method: A Review literature search including based on electronic databases: Pub Med, Goggle scholar. Studies were search out with iron deficiency[or] Anaemia [or] depression [and] adolescent girls Result: The Literature Review showed that there is relation between iron deficiency anaemia depression and adolescent girls. Conclusion: The Study Concludes that there is relation between iron deficiency anaemia depression and adolescent girls. Key word: Iron, Anaemia, Depression, Adolescent girls.

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Iron, Anaemia, Depression, Adolescent girls.

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The increasing importance of information management in the government sector has become instrumental in the evolution of e-governance systems. The improved communication process in the offices based on increasing competitiveness and reengineering the entire governance activities significantly reduced operational costs and time aiming at achieving higher level of effectiveness. This paper applies an analytic hierarchy process for measuring the effectiveness of e-office implementation in Odisha based on citizens' satisfaction with four criteria: clarity, usefulness, accuracy, and reliability of the information. We considered ten different offices under the Government of Odisha that implemented this e-governance application to measure the relative effectiveness of e-Office system in these criteria.

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E-governance, Effectiveness Measurement, Analytic Hierarchy Process, Government of Odisha

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This research paper examines gender disparities in higher education, with a focus on enrollment, academic achievement, and leadership roles in Rajasthan, India. The purpose of the study is to provide a comprehensive understanding of the multifaceted dimensions of gender inequality within the higher education landscape and to propose evidence-based interventions to promote inclusivity and equity. Employing a multidisciplinary framework, the study utilizes a combination of quantitative data analysis and qualitative research methods to elucidate the root causes of gender disparities and their implications. Findings reveal persistent gender gaps in enrollment rates, academic achievement, and leadership representation, influenced by socio- cultural norms, economic disparities, and institutional practices. Key recommendations include implementing gender-sensitive policies, enhancing access to resources and mentorship opportunities, and fostering a supportive academic environment.

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Gender inequality, higher education, enrollment, academic achievement, leadership roles.

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Abstract This paper discovers the interrelation linking historical slavery and modern-day Human trafficking in India from a sociological point of view. By examining the existence of unfair practices and the socioeconomic circumstances that complete them, this study tries to places of interest the firmness and variations of this phenomenon. The study also includes the historical milieu of slavery in India, the current state of human trafficking, and the combined factors that assist their fortitude.

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Slavery, Human Trafficking, Ancient, Medieval, British Colonial, Poverty, Caste, Exploitation, structural Violence.

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Image captioning is an interesting and challenging task with applications in diverse domains such as image retrieval, organizing and locating images of users' interest, etc. It has huge potential for replacing manual caption generation for images and is especially suitable for large-scale image data. Recently, deep neural network-based methods have achieved great success in the field of computer vision, machine translation, and language generation. In this research, we offer an encoder-decoder based model that can produce image captions with proper grammar. This model uses LSTM as a decoder and VGG16 Hybrid Places 1365 as an encoder. The model is trained on labeled Flickr8k and MS-COCO Captions datasets to guarantee full ground truth accuracy. Further, All widely used standard metrics, including BLEU, METEOR, GLEU, and ROUGE L, are used to evaluate the model. According to experimental findings, the suggested model achieved BLEU-1 score of 0.7350, METEOR score of 0.4768, and GLEU score of 0.2798 on the MS-COCO Caption dataset and BLEU1 score of 0.6666, METEOR score of 0.5060, and GLEU score of 0.2469 on the Flickr8k dataset. Comparing the suggested method to state-of-the-art techniques, a notable improvement in performance was thus obtained. We also present the outcomes of caption generation from real sample photographs, which support the validity of the suggested method and help assess the model's effectiveness even further.

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Gamification is a technological trend that is continuously gaining strength in various sectors and becoming a popular term among researchers, practitioners and business concerns. Gamification is one among all those strategies adopted by various organizations. The main idea of gamification is the use of game techniques and processes in non-gaming environment. The three main elements of gamification are game design, game elements and non-gaming environment. If gamification applied properly then it will provide amazing results through the help of fun and appealing components. The larger numbers of firms are applying gamification techniques in real life business activities for attracting new customers. The reason of getting popularity of gaming strategy in every sector, because it is assumed that gamification has the ability to motivate, influence and engage employees, customers and users. The basic motive of every business to earn profit by satisfying the customers as well as employees and gaming strategy is helpful in enhancing the experience of both i.e. customers and employees as well. There are various aspects such as game dynamics, game mechanics, motivational factors and behavioral change that need to be combined together with non gaming environment for effective implementation of gamification. This research paper presents the main ideologies about applying game design more successfully in distinct sectors of society such as marketing, tourism, employee engagement, health and fitness and education. The executers should assess the gamified strategy according to the area of application. Gamification has various distinct elements such as points, badges, leaderboard, storytelling, rewards, challenge etc. Each gamification component need to be effectively analysis and designed for effective implementation.

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Gamification, Game design, Marketing, Tourism, Health & Fitness, Education

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This research paper delves into India's integration into the World Trade Organization (WTO) since 1995, analyzing its profound implications on domestic policies, economic strategies, and international relations. Key WTO agreements such as TRIPS, GATT, and GATS are scrutinized for their impact on India's trade liberalization efforts, tariff structures, and regulatory frameworks across critical sectors like agriculture, industry, and services. The study examines the complex political dynamics within India, exploring how WTO mandates influence policy decisions amidst diverse stakeholder interests. It evaluates both the challenges--such as managing sectoral disparities and balancing global commitments with national priorities--and opportunities, including enhanced market access and technology transfer.

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Intellectual Property, Wto,Indian Politics,Gatt,Gats,

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English language teaching is notoriously subject to fashion, and one of the most prestigious fashions of recent years has been that of English for Specific Purposes: ESP. Although it has now been overtaken in topicality by other developments, notably self-directed learning, ESP is still the subject of much discussion and many key issues in ESP remain unresolved. One of the important issues is the extent to which ESP is really different from general ELT. Many exciting new developments have occurred under the aegis of ESP, but all these ideas and techniques could equally well be applied in general ELT courses. The concepts of communicative competence, communicative language teaching, discourse analysis, and others, have all been associated with ESP, but what is represented here, in fact, is simultaneous but separate development, these various concepts stimulating development in ESP, yet not being contained by it.

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ENGLISH FOR SPECIFICPURPOSES, COMMUNICATIVE COMPETENCE,DISCOURSE ANALYSIS,COMMUNICTIVE LANGUAGE TEACHING / LEARNING .

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OBJECTIVE OF THE STUDY: 1. To assess the knowledge regarding vector borne diseases among the framers selected rural area of Chittoor district. 2. To assess the effectiveness of planned teaching program on Knowledge regarding vector borne Diseases among the farmers of selected rural area of Chittoor district. 3. To find out the association of knowledge about pre-test and post-test the with their selected demographic variable. METHODOLODY OF THE STUDY: The research design used for the study was a descriptive research design. The research approach used for the study was the descriptive approach. The sample size was 60 Farmers. The sample was selected by purposive sampling method and was assessed for a level of vector borne diseases among farmers at selected villages. Analysis of data was done by using descriptive and inferential statistics. THE MAJOR FINDINGS OF THE STUDY WERE: o 48.30% with age group of 35- 55 years and 30.00% age group of 56-75 years. o 60.00 % study population were male and 36.70% study population were female. o 68.30% study population knows Telugu language. 21.70% study population knows Tamil language. o 86.70% study population comes under married. 6.70% study population comes under widow. o 55.00% respondents Belongs to informal education, 28.30% respondents belongs to primary education. o 60.00% study population income were below 5000 Rupees, 23.30% study population income were below 5000-10,000 Rupees. o 33.30% study population were 1-3 hours working in the field, 41.70% study population were 3-5 hours working in the field. o 38.30% study population having 1-5 cultivation in square feet, 31.70% study population having 5-10 cultivation land in square feet. o 56.70% farmers cultivating crop is rice, 21.70% farmers cultivating crop is wheat. o 80.00% farmers affected with vector borne disease in previous and remaining 20.00% farmers are free from vector borne disease. o Among participants of pre test 76.70% study population having inadequate knowledge, 20.00% population having moderate knowledge and 3.30% population having adequate knowledge. o Among participants for post test 11.70% study population were having inadequate knowledge, 20.00% population were having moderate knowledge and 68.30% population were having adequate knowledge. o Among study population were using distribution mean, standard deviation, t value and p value of pre test and post test knowledge. The mean for pretest knowledge is 8.88% and post test knowledge is 17.85%. the standard deviation for pretest knowledge is 4.038% and post test knowledge is 4.029%. the t value for pretest and post test knowledge is 15.774%. o Among study population using correlation of knowledge in pre test and post test 0.404. CONCLUSION The present study aims to evaluate knowledge of planned teaching programme on vector borne diseases among farmers and to prepare on information booklet on the management of vector borne diseases of farmers.

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Assess, Effectiveness , Planned teaching programme , vector borne diseases, farmers

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Psoriasis is an inflammatory skin disease that is often chronic and relapsing. Scientists do not fully understand the causes of psoriasis, but they know that it involves a mix of genetic and environmental factors. A 46-year-old female patient suffering from plaque psoriasis for almost 10 years switched to homeopathy because the treatment she was taking before was costly and did not yield satisfactory results. Medicine was selected after detailed case taking, based on individualization. During homoeopathy treatment, the patient began showing improvement in overall symptoms and became free from lesions in the areas of the face, scalp, abdomen, arms, and back.

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Psoriasis, Homeopathy medicine, Plaque psoriasis, Inflammation, Chronic skin disease

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This study investigates the ecological characteristics, life-cycle, reproduction of the freshwater snail Physella acuta within the water tank of tap water in Taranagar region, located in the Churu district of Rajasthan. Direct observation and sampling techniques were employed to assess the presence of P. acuta in aquatic habitat in the study area. Additionally, studying environmental parameters such as water quality, substrate composition and vegetation to understand the ecological preferences of P. acuta. The study also explores the potential implications of P. acuta on local aquatic ecosystems and human health. Findings of this research provide valuable insights into the ecology of P. acuta in the Taranagar region, contributing to the broader understanding of freshwater snail dynamics in aquatic ecosystems.

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Physella acuta, snail, Taranagar, tap water, tank, freshwater, bladder snail.

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The Siddha system is one of the most conservative medical systems in the world. Awareness of traditional medicine is gradually increasing and people are benefiting more from natural treatments for their health problems. A traditional system of healing that originated in South India and is considered one of the oldest systems of medicine in India. This drug review aims to validate siddha herbal preparation soothagavaayukku kiyazham with scientific evidence. The medicinal uses and therapeutic effects of each ingredient used in this formula have been consistent with current research findings from various scientific publications. Based on the evidence of this Siddha literature and modern scientific studies, the keyhole is also presented, resulting in ovulation, anti-inflammatory, antioxidant, most of the ingredients of Soothagavaayukku kiyazham according to the review.

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Soothagavaayukku kiyazham, PCOS, Siddha system, Drug review

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It is a remote local cloud that addresses cloud robotics security issues with End Point Balancing Technology (CRT). There is extremely little literature with theoretical and statistical backing, even though numerous related hypotheses have been put out. The research on model construction and performance evaluation is the main topic of this work. First, an End Point Technique-based cloud robotics security model is created. With this model, the system's concurrency and distributed large-capacity storage performance are greatly in- creased, and numerous security vulnerabilities associated with typical cloud robotics systems may be avoided. Second, average latency and throughput are used to assess the performance of the suggested model; these metrics are significant for further study and optimization in this area. The analysis and test results show that the security model based on End Point Balancing is successful..

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Cloud Robotics, End Point Balancing, Security.

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