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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 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition