Volume 12 | Issue 6

 Abstract

A tiny, prickly plant in the Acanthaceae family, Barleria prionitis goes by several colloquial names, but is most commonly known as "porcupine flower." This is a native plant to parts of Africa and South Asia. Ayurvedic and other traditional systems recognize the flower, root, stem, leaf.Its important source of secondary metabolites, which include tannin, saponin, flavonoids, alkaloids, glycosides, and phenolic compounds, has been demonstrated by recent pharmacognostical screening to have effective anti-microbial, anti-inflammatory, hepatoprotective, and gastroprotective properties. This can be viewed as an overview of the present state of Barleria prionitis development. Dental health is just as vital as general wellness. People may have more oral health issues these days, such as gingivitis, periodontal disease, sore throats, plaque,mouthulcer and more. Numerous formulations are available to support the maintenance of optimal oral health.It is advised to use mouthwash to reduce bacteria, pain, bad breath, and plaque. Because herbal mouthwash has fewer adverse effects, is non-irritating, less poisonous, and doesn't contain alcohol, it is recommended over chemical mouthwash. Because herbal mouthwash is manufactured from extracts of crude medications, it has less or no side effects when compared to synthetic mouthwash. Several plant extracts are used to make herbal mouthwashes. The following herbs--which are helpful in dentistry--are mentioned in this article: clove, peppermint, tulsi,neem and honey. The current study aims to create and assess a herbal mouthwash and assess its efficacy in combating the oral cavity's microbial load. The plant materials were gathered and their water-soluble components removed.The prepared mouthwash's physicochemical characteristics and antibacterial efficacy were further assessed. The mouthwash that is currently available has good antibacterial properties.The stability study's findings support the efficacy of the preparation. Currently available mouthwash is a liquid formulation that often includes both antibacterial and antiseptic ingredients.These solutions have the potential to decrease microbial growth in the oral cavity like mouthulcers or sores.

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BarleriaPrionitis,Mouthwash,Mouthulcer,Sores,Antibacterial,Formulation, Natural,Crude drugs,Oral hygiene.

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Dermatitis, a common inflammatory skin condition, poses challenges in terms of effective and well-tolerated treatment options. It is characterized by inflammation of the skin, often necessitates treatment with nonsteroidal anti-inflammatory drugs (NSAIDs) and corticosteroids which may pose some limitations, side effects and significant health challenges with conventional treatments. This article provides a thorough exploration of the therapeutic potential of medicinal plants in the management of dermatitis exploring an alternative therapeutic approach by focusing on Janus kinase (JAK) inhibitors, a class of drugs that have shown promise in modulating inflammatory pathways Dermatitis is a common inflammatory skin condition that requires minimally invasive therapeutic interventions to be effective. Many reviews reveal the involvement of JAK-STAT signaling in dermatitis pathogenesis and highlights the potential of JAK inhibitors in mitigating inflammation. discussing the specific mechanisms of action of JAK inhibitors, their role in regulating immune responses, and their potential benefits in comparison to traditional treatments centred on qualities that are skin-soothing, antimicrobial, and anti-inflammatory.

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Atopic dermatitis, Juan kinase inhibitors, Interleukins, jak-stat signaling pathway.

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The majority of commercial soaps include chemicals and synthetic ingredients that may be irritating or even damaging to the skin. Human's skin, which need special treatment for healing, improved skin tone, and the appearance of glowing health. Herbal soaps found in nature are another viable option. Herbal products have double meaning: first, they are used as cosmetics for body care, and second, the presence of photochemical and botanicals in them results in naturally healthy skin. Herbalism and the usage of herbal products are now popular trends. Indian herbs are the most abundant source utilised in the cosmetic industry. As more people know the health benefits and cost-effectiveness of herbal products, their use is growing rapidly all across the world. So, In this research, we used the cold process technique to create a herbal soap .In order to make herbal soap namely (coconut oil, Glycerine , Moringa oleifera extract, C. sinensis peel Powder, and sodium hydroxide (lye) was used, and the various extracts were afterwards combined into the primary saponification process. After completion of the herbal formulation, it was tested for its pH, moisture content, foaming index, foam retention time, and high temperature stability, etc. Various study found that, these herbal plant extracts proven to possess anti-bacterial activity, anti-inflammatory activity, anti-fungal activity, etc. The findings for the manufactured herbal soap reveal that these soap are cost-effective, convenient, generates nice foam on application and do not exhibit any skin irritation.

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Soap, natural ingredients, skin care , evaluation

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Introduction: IVF involves a carefully orchestrated series of steps, beginning with hormonal stimulation to encourage the ovaries to produce multiple eggs, followed by the retrieval of these eggs. Objectives of the study: The main objective of the study to assess the stress and coping abilities on IVF among women attending fertility center. Methodology: A quantitative research approach was adopted for the present study. A descriptive research design was adopted for the present study. By using convenient sampling technique, 50 women attending fertility centre in selected hospital. Results: The present study reveals that majority 26 (52%) of them had mild stress, 20 (40%) of them had moderate stress and 4 (8%) of them had high stress among women attending fertility centre. The finding shows that, majority 23 (46%) of them had low coping, 21 (42%) of them had moderate coping and 6 (12%) had well coping among women attending fertility centre. Conclusion: The study findings concluded that majority of women attending fertility centre had mild stress and moderate coping. There was significance association between year of marriage with level of stress among women attending fertility centre where p<0.05.

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In Vitro Fertilization, Child dissociative behaviour, Assess, School going children

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The handwash sold in local markets is primarily made up of different chemical compounds that could be harmful to our skin in multiple ways. According to this theory, research has focused on finding organic substitute ingredients for handwash preparation. People are always searching for cosmetics made of natural ingredients in order to avoid the negative effects of synthetic hand wash preparations such as irritation, dermatitis, dryness, and itching. They also want to avoid allergic reactions and any other unfavorable effects.The main aim to do these formulation to avoid the side effects by using the natural ingredients like ginger, neem, reetha.Hand washing is a daily ritual that is extremely important. In this study,a blend of natural extracts with established antimicrobial qualities was used to formulate a herbal handwash. The hand wash formulation was found to be effective in terms of physical parameters and to effectively clean hands.Thus, it raises the issue of using antiseptics for hand washing. The Prepared handwash was assessed using several parameters, including color, smell, pH, viscosity, and stability. Following formulation, the herbal hand wash was assessed using a range of physical and chemical characteristics, including pH, color, smell, appearance, texture, spreadability, grittiness, skin irritancy, foam height, foam retention, cleaning action, stability, and other factors. It was discovered that the revolt was within a normal range with little to no side effect.

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: Anti-Microbial properties, Allergen Sensitivity, Rhizome, Impurities, herbal handwash formulation, Ginger Extract.

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Women education has always been traditionally ignored or not given enough importance due to undervaluation of their contribution in family income especially of the natal family. Therefore, parents are reluctant to invest much in daughter's education. However, parental attitude towards their education has changed as societal outlook and labour market dynamics have changed over time. This paper tries to shed lights on the progress of women education since independence. The study reveals that there had been significant positive change in women participation in school education as well as higher education though there is gap in the progression from lower stages of education to higher levels. Besides, in higher education though their participation has increased largely but it is more prominent in general degree courses rather than professional degrees. Faculty wise distribution reveals that women are still far behind men in terms of their participation in professional education.

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Women's education, gross enrolment ratio, higher education, faculty wise distribution

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Cyber environments have been prone to unethical activity in the past few years. Social media platforms are becoming more and more prone to the identification of hate speech (HS) in modern culture. For online platforms to eliminate hate speech content in real-time they need powerful hate speech identification algorithms. A range of techniques exists to detect HS, including ML, Dictionary, DL, and so forth. The purpose of this study is to demonstrate an extensive understanding of DL and ML classification techniques, with their advantages and applications.

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Hate Speech (HS), HS Techniques: Machine learning (ML) and Deep Learning (DL), Comparison of ML and DL, Advantages, and Application of Classification Techniques.

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The integration of Artificial Intelligence (AI) in addressing climate change presents significant opportunities for tackling this global challenge. This review examines the use of AI in climate modeling, optimizing renewable energy, reducing carbon footprints, and environmental monitoring. It emphasizes AI's role in improving prediction accuracy, optimizing energy systems, reducing emissions, and enhancing monitoring capabilities. Despite its potential, AI's contribution to climate mitigation faces obstacles such as data gaps, high computational costs, and the need for interdisciplinary collaboration. This analysis underscores the importance of improving data quality, developing energy-efficient AI algorithms, and fostering interdisciplinary connections to fully leverage AI's potential for a sustainable future. Strategic decision-making and evidence-based governance are crucial for maximizing the benefits of AI while minimizing its environmental impact..

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Acoustic Sensors, Climate Change, Predictive Maintenance, Energy Consumption, Wildlife Monitoring, Deep Learning (DL), Machine Learning (ML), Data Availability, Smart Grid Management, Environmental Monitoring, Reinforcement Learning (RL), Renewable EnergyOptimization, Biodiversity Monitoring, Computational Resources, Artificial Intelligence (AI), Earth System Models, Supply Chain Optimization, Carbon Footprint Reduction, Climate Modelling, Computer Vision, Interdisciplinary Collaboration, Data

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Purpose - The purpose of this study is to empirically study the relationship between financial services and economic growth, and contribute to the already available literature on the relationship of financial services or sectors to economic growth Design/methodology/approach - The study used the Ordinary least square regression approach. The sample covered yearly time-series data from 1990 to 2022, i.e. 32 years. Findings - The results suggest that financial services related to economic growth were as Liquid liability as % of GDP and the commercial bank branch as per 100,000 positively correlated to the economic growth and investment and saving and capital formation negatively correlated to economic growth, given the financial liberation and reforms the country is currently enjoying, the country has not fully brought the desired positive effects on economic growth.

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Financial service, Economic growth, OLS regression, financial Liberalisation

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In India energy demands are expected to be more than double by 2030, and there is a pressing need to develop ways to conserve energy for future generations. Thus energy consumption can be reduced drastically by using energy efficient appliances. In India, the Union Ministry of power's research pointed out that about 20-25% of the total electricity utilized in government buildings in India is wasted due to unproductive design, resulting in an annual energy related financial loss of about Rs 1.5 billion. Conventional Heating Ventilation and Air Conditioning systems (HVAC) consume approximately 50% of the building energy. This type of air conditioning is therefore neither eco-friendly or sustainable. Selection of proper air conditioning system for buildings can not only help the country to save electrical energy but also reduce green house emissions. As renewable energies become a growing part of the energy, the focus is being put on increased performance and efficiency of proven sources such as horizontal axis air coolers. Generally air coolers are predominantly horizontal-axis, three-bladed with a fixed blade design. The domestic air coolers, which are cost effective, play a positive role in providing human comfort during hot weather. However the performance is dissatisfactory in the high humid regions. This project paves a way to investigate the performance of air cooler integrated by eliminating the problem of rise in humidity that usually encountered in the conventional air cooler. The objective of the present invention is to provide cooled air to maintain the room temperature according to the requirement. This paper presents a simplified analysis model for Cooling Effect of 360 degree Air Cooler for Vertical Axis to make computation tractable with better performance and efficiency by varying speed, number of blades and energy utilization and comparing suitable for cooling effect over a site-specific air cooling distribution.

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Energy consumption, cooling effect, vertical axis

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This research paper provides a thorough examination of the evolving landscape of cyber security threats and the corresponding strategies employed to mitigate them. In an era where technology plays an integral role in everyday life, the importance of safeguarding digital assets cannot be overstated. The paper explores various categories of cyber threats, including malware, data breaches, and social engineering attacks, while also discussing emerging threats such as AI-driven cyberattacks and the challenges posed by the Internet of Things (IoT). Furthermore, it delves into the multifaceted approaches employed by organizations and individuals to defend against these threats, including encryption, intrusion detection systems, and user awareness training. By shedding light on the latest developments in the field, this paper serves as a valuable resource for professionals and researchers seeking to stay ahead in the ongoing battle for cyber security.

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cybersecurity, threats, robotics, computer network, firewall, malware, cybercrime

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Welding is a permanent joining process both by using gas torch or electricity to generate heat and also by using filler materials. Similar materials or dissimilar materials both can be joined by implementing welding process. Pressure can be used instead of filler materials to get the permanent joint. For fabricating various engineering components Welding has been considered as one of the best process in the recent years. Various applications include constructions, automotive industries, ship building, aerospace, etc. Gas Tungsten Arc Welding (GTAW) is one of the majorly applied welding processes. There are different welding factors which determine the soundness of weld and investigate the weldability of a metal. Weldability is defined as the easiness with which two or more similar or dissimilar metals can be joined without any problem. In GTAW, the Heat Input and the Gas Flow Rate are two major factors during the welding process. They have an influence on Weld Bead Geometry. One of the important characteristics of welding is consider as weld beads. Metals weldability has been determined by reinforcement height, width if the weld beads, and depth of penetration. In the present research work the Tungsten Gas Arc Welding (GTAW) was carried on AA6063 aluminium alloy. of Response Surface Methodology (RSM) has been implemented to design the experiment that too CCD (Central Composite Design). Gas Flow Rate and Heat Input are the two factors and three level has been considered to create DOE. Bead geometry parameters were studied for different combinations of the mentioned factors. The influence of each factor on the bead geometry was analysed using ANOVA. It was observed that the maximum depth of penetration was obtained at heat input values of 0.36-0.4 kJ/mm and gas flow rate of 15.5 l/min. Minimum bead width is recommended and this was obtained at heat input of 0.45-0.48 kJ/mm and gas flow rate of 15-16 l/min. Nominal positive reinforced height is acceptable and this is obtained through the entire range of heat input and gas flow rate of 10.5-13.5 l/min.

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Weldability, GTAW, Bead Geometry, Response Surface Methodology, ANOVA

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Nearest Neighbour Analysis, also known as K-nearest neighbour (KNN) and neighbourhood component analysis (NCA), is a method that stores training samples in an n-dimensional pattern space and calculates the distance between samples using a distance metric formula. An example of the search for order in settlement or other patterns in the landscape is the use of a technique known as nearest neighbour analysis. This attempts to measure the distributions according to whether they are clustered, random or regular. Here, settlement distribution may be expected to be regular, rather than the random or scattered pattern.

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Clustered, Random, Hexagonal, Concentration, Dispersed, High concentration.

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This paper introduces a Chat-bot Assisted Multilingual Platform for Re-use, Re-Cycle, Re-Sale, Disposal of Industrial Material, and Electronics," represents a pivotal intersection of technology and environmental responsibility. In the past, waste management posed challenges, leaving consumers unaware of proper disposal methods. The digital age, chatbots emerged as intelligent conversational agents, bridging the gap between users and information on industrial material and electronics. Originally designed for customer support, chatbots evolved into sophisticated virtual assistants, automating tasks. In our project, chatbots serve as a linchpin, creating an efficient, user-friendly platform for re-use, recycling, sale, and disposal. The initiative addresses the multilingual aspect, seamlessly integrating English, Hindi, and Kannada to ensure inclusivity and accessibility. The project classifies industrial materials, distinguishing plastics for informed decision-making. In electronics, it emphasizes reuse and recycling, diverting devices from landfills. In essence, it stands as a beacon for technology-driven environmental responsibility. The multilingual interface fosters familiarity, transcending linguistic barriers.

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This paper introduces a Chat-bot Assisted Multilingual Platform for Re-use, Re-Cycle, Re-Sale, Disposal of Industrial Material, and Electronics," represents a pivotal intersection of technology and environmental responsibility. In the past, waste management posed challenges, leaving consumers unaware of proper disposal methods. The digital age, chatbots emerged as intelligent conversational agents, bridging the gap between users and information on industrial material and electronics. Or

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India's legal framework is witnessing a transformative shift with the introduction of the Bharatiya Nyaya Sanhita (BNS) Act, 2023. This new legislation aims to replace the Indian Penal Code (IPC) of 1860, bringing about significant changes to modernize the criminal justice system. Here, we delve into the key aspects, innovations, and implications of the BNS.

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BNS, The Bharatiya Nyaya Sanhita

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Due to their effectiveness and eco-friendliness, electric golf carts are growing in popularity on golf courses. With the use of a literature review and data analysis, this research paper intends to present a cost report and business report on electric golf carts. The study examines electric golf cart pricing patterns and how they affect the golf cart market. According to the study's findings, electric golf carts are more cost- and environmentally-friendly than gas-powered golf carts.

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Electric Vehicles, Electric Golf Cart, Business model of electric Golf Cart & Analysis, Sector wise Analysis.

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This review paper presents a comparative analysis of 16-bit and 32-bit Reduced Instruction Set Computing (RISC) pipelined processors, with a focus on their design and implementation using Verilog Hardware Description Language (HDL). The study explores key architectural differences, performance metrics, and resource utilization associated with both processor types. By delving into the pipeline stages, instruction sets, and data paths, the review highlights the trade-offs between the two architectures in terms of complexity, speed, power consumption, and scalability. Detailed simulations and synthesis results will be analyzed to provide a comprehensive understanding of the advantages and limitations of each processor size. The findings aim to guide designers in selecting the appropriate processor configuration for specific applications, balancing the need for efficiency, cost, and performance. The paper concludes with insights into future trends in RISC processor design and potential areas for further research in the context of evolving computational demands and technological advancements.

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Keywords: RISC Architecture, Pipeline Stages, Verilog HDL, Performance Metrics, Resource Utilization

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Attendance tracking is a crucial aspect of daily operations in educational institutions, organizations, and offices. Traditionally, this task involves manual methods like calling out names or roll numbers, which can be time-consuming and prone to errors. The aim of this project is to revolutionize attendance management by implementing a Face Recognition-based system, automating the process and enhancing efficiency. This innovative system, installed in classrooms or designated areas, utilizes facial recognition technology to identify and mark attendance. Students' information, including their names, roll numbers, class, section, and photographs, is stored and trained within the system. OpenCV is employed to extract facial images for training purposes .The system operates by capturing images of individuals approaching the device before the start of the class. These images are then processed through several stages: facial detection using a Haar cascade classifier, facial recognition utilizing the LBPH (Local Binary Pattern Histogram) Algorithm, comparison of histogram data with the established dataset, and automatic attendance marking. An Excel sheet is generated and updated regularly with attendance information, ensuring accurate record-keeping. Overall, this project offers a modernized approach to attendance management, leveraging advanced technology to streamline processes and improve time management in educational and organizational settings.

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Face Recognition-based system, OpenCV, Haar cascade classifier, LBPH (Local Binary Pattern Histogram) Algorithm

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Amidst the dynamic and ever-changing business environment of today, entrepreneurs encounter a multitude of obstacles in streamlining their activities and attaining long-term expansion. Artificial intelligence (AI) integration has become a promising tool for improving efficiency, simplifying processes, and overcoming operational challenges in startup ecosystems. This paper examines the current use of artificial intelligence (AI) to improve the efficiency of startup operations. It discusses the importance of adopting AI, the main obstacles faced, and the rising trends in the startup industry. This paper explores the complex and diverse role of artificial intelligence (AI) in startup environments, using secondary data analysis. The paper highlights the potential of AI to revolutionize operations and enhance competitiveness by analyzing existing literature. Ethical AI practices are becoming increasingly important in the adoption of AI in startups. These policies prioritize transparency, justice, and responsibility in the decision-making processes driven by AI. Furthermore, it is crucial to make investments in AI-powered cybersecurity solutions in order to protect against ever-changing cyber threats and secure valuable data. In addition, the report emphasizes developing patterns such as the integration of artificial intelligence (AI) in edge computing. This integration provides startups with chances to analyze data in proximity to its origin, hence decreasing delays and facilitating instantaneous decision-making. Startups can improve their operational agility, responsiveness, and scalability by adopting these new trends and utilizing AI technologies.

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Artificial Intelligence, Startups, Operational Efficiency, Ethical AI, Cybersecurity, Emerging Trends.

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