Volume 11 | Issue 5

 Abstract

The formulation and evaluation of a polyherbal fruit face mask using natural ingredients were conducted with the aim of creating an effective and safe skincare product. A selection of herbs and fruits known for their beneficial properties for the skin, such as aloe vera, cucumber, lemon, turmeric, papaya, and orange,

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 Keywords

Face mask, Banana, Papaya, Evaluation, Particle size, Propionibacterium acnes

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Lack of secure codes implemented in the web apps will lead to cyber- attack because of vulnerabilities. The statistic shows that highest record on the data theft related cyber-attacks are through the SQL injection technique. Hence, an effective SQL injection detection is needed in any web system to combat this threat. In this research, machine learning technique is used where training is provided to the SQL injection detector using a training data and then is evaluated against a testing data. The research relies on the preparation of the training and testing datasets. Training sets are used by the detector to establish the knowledge base and the test set is used to evaluate the performance of the detector. The result of the detection shows that the proposed technique produces high accuracy in recognizing malicious and begin web requests.

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 Keywords

Machine Learning, Signature-Based, Knowledge-Based, SQL Injection, SQL Injection Tools

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Speech and emotion recognition over fusion of visual and vocal expression using artificial intelligence is a rapidly evolving field of research that aims to develop intelligent systems capable of accurately interpreting human emotions based on a combination of audio and visual cues. In this approach, computer vision, speech processing, and machine learning techniques are combined to analyze human behavior and emotions. This paper provides an overview of the techniques and challenges involved in speech and emotion recognition over fusion of visual and vocal expression using artificial intelligence. It also highlights some of the potential applications of these systems in healthcare, education, and customer service. Despite recent advancements in the field, there are still challenges to be addressed, such as the variability of emotions across different individuals and cultures, and the lack of standardization in emotion labeling. Overall, the potential benefits of these systems are vast, and with continued research and development, they have the potential to significantly improve our understanding of human emotions and behavior. In the field of artificial intelligence and machine learning, speech recognition and emotion recognition are two exciting issues. Speech recognition refers to a computer's ability to understand and transcribe spoken language, whereas emotion recognition refers to a computer's ability to recognise and classify the emotions expressed by a person through their speech.

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 Keywords

Sentiment Detection, Text Sentiment Analysis, Convolutional Neural Network, Natural Language Processing, Facial Emotion Recognition, Support Vector Classifier, World Health Organization.

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Governments need to cater to a huge number of responsibilities of a state. The working of state governments involves huge number of transactions towards various operations that need to be carried out throughout the state. This includes new projects, repair and maintenance works, awarding contracts, paying of government employees, farmer schemes and so on. A major obstacle that the top government face is the low level corruption that is sometimes not possible to track which deprives the state progress. Tracking it is a very complicated task due to the current system. But in proposed system we overcome this drawbacks by using block chain approach. We here make use of blockchain technology to secure the transactions at every stage while maintaining transparency in every transaction sealing every transaction with proofs as the funds move ahead. Blockchain is an evolving technology that maintains a chain of records known as blocks, connected through cryptography. Each block contains a unique identifier (cryptographic hash) of the previous block, a timestamp, and transaction data. The inherent design of a blockchain ensures that the data stored within it is highly resistant to unauthorized modifications. The proposed system focuses on enabling the tracking of funds allocated to the government throughout the entire allocation process. To ensure secure communication, key pair generation algorithms will be employed, enabling the establishment of trusted channels between relevant entities involved in fund allocation. Key pairs consist of a public key for secure data sharing and a private key for authentication and decryption. Moreover, metadata file decryption algorithms will be used to securely decrypt encrypted metadata associated with fund allocation transactions. This process allows authorized entities to verify transaction details, contributing to a higher level of transparency in the fund allocation process. Additionally, data verification algorithms will be implemented to ensure the integrity and authenticity of data stored within the blockchain. These algorithms play a crucial role in preventing unauthorized modifications to the blockchain records, preserving the immutability of the data By combining these proposed algorithms and harnessing the power of blockchain technology, this project aims to enhance the security, transparency, and integrity of government fund allocation. The utilization of key pair generation, metadata file decryption, and data verification algorithms enables efficient and accountable fund allocation within the government system.

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 Keywords

Blockchain, HyperLedger, Security, Transparency, Encryption, Government Funds, Cryptography, AES

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 Abstract

The herbal formulations those when natural herbs and their products used for their aromatic value in formulation development among consumers for herbal products triggered the demand for natural products and natural extracts in many preparations. Creams are a semisolid preparation that is for external application with friction. They are applied directly on the skin with the help of some absorbent material and uses medicinally as well as cosmetics. The focus of the present review is some describe and details about herbal cream and common herbal plant which is uses for herbal cream formulation development.

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 Keywords

Herbal Cosmetic, Herbal cream, Herbal formulation, herbal plant.

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News publishers have decreased spreading news through conventional newspapers and have migrated to the use of digital media. Therefore, there exists a large amount of information being stored in the electronic format which needs to be classified into different categories because there may be present some sensitive data which is not suitable for specific age group. In this project, machine learning algorithms are used for classifying news by using a dataset. By evaluating the accuracy of Linear regression, Naive Bayes algorithm, Logistic regression and Decision tree algorithm and performing comparative analysis of all mentioned algorithms we are going to select the algorithm which provides the maximum accuracy. Also suggesting news articles to the online news reader based on the similarity of a news article with the news they are reading or proposing news articles based on the interest of news reader subjected from their previous readings and the feedback of the reader. After implementing and comparing the accuracy of all Machine Learning models, Naive Bayes Model gave the highest accuracy and lower error percentage. So, Naive Bayes Model is used for training the model and to get required result.

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Naive Bayes algorithm, Comparative analysis, Decision tree algorithm.

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Hyper Automation is a true digital transformation with the help of advanced techniques such as Robotic Process Automation (RPA), Machine Learning (ML), and Artificial Intelligence (AI). It automates complicated business processes, even where topic specialists were formerly needed. This is an expansion to the processes of traditional business-process automation. Hyper Automation allows automation to do virtual tasks performed by business people by merging AI technologies with RPA.

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1. Increasing the competency of the workforce 2. Employee Upskilling 3. Systems Integration 4. Advanced Analytics 5. Improved Productivity

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The main objective of present study was to prepare a herbal scrub incorporated into gel. The use of natural ingredients to fight against acne, wrinkle and also to control secretion of oil is known as natural or herbal cosmetics. Herbal cosmetically usually contain the plant parts which possess antimicrobial, antioxidant and anti aging properties. Herbal cosmetics are the safest product to use routine with no side effects and cosmeceuticals are the product which influences the biological function of skin. In this preparation coffee, Aloe vera , honey is used. The prepared gel was evaluated for various parameters such as appearance, pH, viscosity, Spreadability, washability, irritability and found to be satisfied with all required characterizations. Thus, the developed formulation can be used as an effective scrub for using it to bear a healthy and glowing skin.

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Herbal Scrub, Tamarind Powder, Multani Mitti, Rose Water, Scrub.

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To remain healthy and appear good, the skin surface requires periodic cleansing to remove dirt, sebum and other secretions. Use of chemical based cosmetics causes deterioration of skin. In present scenario herbal cosmetics have more demand because they have no side effects. For the removal of acne, whiteheads, blackheads scrubbing is essential. In our present study we have formulated scrub using turmeric, charcoal, aloe vera, honey, green tea, lemon juice, walnut, SLS, potato starch.

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 Keywords

OBJECTIVE, NATURAL PRODUCT, DRUG PROFILE, METHOD OF PREPARATION.

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The aim of the present study is to formulate and evaluate herbal hand wash gel by Using extracts of Azadirachta indica (neem powder), Ocimum tenuiflorum (Tulasi powder), Mentha (mint powder), Syzygium aromaticum (clove oil), Sapindus mukorossi (rithapowder), carbolpol 940 (gelling agent), methyl Paraben (preservative), Glycerin (softening agent), distilled water, (vehicle), Turmeric (colorant),Rose oil (perfume), Saponin Extract. To select the plant materials. To extract powders from plants by air drying method to get particle free extract. To prepare herbal hand was gel by using suitable agents. To evaluate herbal hand wash gel.

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 Keywords

Azadirachta indica, Ocimum tenuiflorum , Mentha, Syzygium aromaticum, Sapindus mukorossi, carbolpol 940, methyl Paraben

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A high-performance liquid chromatography (HPLC) method for the determination of azadirachtin in marketed herbal insecticide has been developed. Azadirachtin is a neutral triterpene and chemotherapeutic agent effective in controlling some pest flies in horses, stables, horns. The actual HPLC method uses an isocratic elution and UV detection. The chromatographic determination of these components is achieved using a C18 analytical column with methanol : water mixture (80;20, v/v) as mobile phase, 1 mL/min as flow rate, and UV detector at 222 nm. The analytical method developed in this work allows the quantitation of azadirachtin with precision and accuracy, establishing a lower limit of quantitation of azadirachtin. A validated stability indicating method was achieved using HPLC. The purpose of stability testing was to provide evidence on how the quality and quantity of Azaadirachtin and marketed Azadirachtin extract varies with time under the influence of various factors such as acidic hydrolysis, alkaline hydrolysis, oxidation and neutral hydrolysis.

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Azadirachtin, Analytical method development, Validation, Forced degradation, stability.

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The purpose of the study on" A study on the antecedents of consumer attitude to build brand loyalty with special reference to Periyar food products" is to understand the effectiveness of customer attitude to build brand loyalty. Through the study the researcher will be able to understand the impact of customer attitude towards the Periyar brand also researcher can find out which antecedents is highly influencing to create positive attitude among the consumer so by understanding the antecedents of attitude the researcher can also find out whether the positive attitude create loyalty among the consumers. The study could provide the information on the role of antecedents of customer attitude to build brand loyalty. Further this study will review the impact of antecedents like customer satisfaction, trust and perceived value in building brand loyalty. The researcher used Multiple Regression analysis to prove the positive relation with in depended variables Trust, Satisfaction and Perceived Value with the depended variable Brand Loyalty. This study would be beneficial to Periyar company to make improvement in their product and brand, it also helps in taking decision regarding the product improvement, price, service and promotional strategy

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Consumer Behavior, Periyar Food Products, Attitude, Trust, Brand Loyalty, Customer Satisfaction, Perceived value

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The term "probiotic" was first used in 1965, by Lilly and Stillwell, to describe substances secreted by one organism which stimulate the growth of another. The use of antibiotics, immunosuppressive therapy and irradiation, amongst other means of treatment, may cause alterations in the composition and have an effect on the GIT flora. Therefore, the introduction of beneficial bacterial species to GI tract may be a very attractive option to re-establish the microbial equilibrium and prevent disease. Prebiotic is a non-digestible food ingredient that confers benefits on the host by selectively stimulating one bacterium or a group of bacteria in the colon with probiotic properties. Both probiotics and prebiotics are together called as Synbiotics. Various bacterial genera most commonly used in probiotic preparations are Lactobacillus, Bifidobacterium, Escherichia, Enterococcus, Bacillus and Streptococcus. Some fungal strains belonging to Saccharomyces have also been used. Probiotics have been shown to be effective in varied clinical conditionsranging from infantile diarrhoea, necrotizing enterocolitis, antibiotic-associated diarrhoea, relapsing Clostridium difficle colitis, Helicobacter pylori infections, inflammatory bowel disease to cancer, female uro-genital infection and surgical infections. Lactobacillus rhamnosus strain GG has proven beneficial affects on intestinal immunity. It increases the number of IgA and other immunoglobulins secreting cells in the intestinal mucosa. It also stimulates local release of interferons. It facilitates antigen transport to underlying lymphoid cells, which serves to increase antigen uptake in Peyer's patches. Probiotics are live microorganisms, so it is possible that they may result in infection in the host.The risk and morbidity of sepsis due to probiotic bacteria should be weighed against the potential for sepsis due to more pathological bacteria and the morbidity of diseases for which probiotic bacteria are being used as therapeutic agents. Also, future, well-designed placebo controlled studies with validated results are required for ascertaining the true health benefits of probiotics The important point in this regard is careful selection of the probiotic agent, its dose standardization and a thorough knowledge of its beneficial effects

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Probiotics, lactobacillus, diarrhoea, bifidobacterium

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Access to clean and safe drinking water is vital for maintaining human health and well-being. However, waterborne contaminants pose significant risks to public health, leading to various diseases and adverse health effects. This research paper aims to analyze the impact of waterborne contaminants on human health by examining the quality of drinking water. It explores the sources of contamination, the types of contaminants commonly found in drinking water, and their associated health risks. Furthermore, it investigates the effectiveness of water treatment methods in removing or reducing these contaminants to ensure safe drinking water for communities. The findings from this study contribute to a better understanding of the potential health consequences of waterborne contaminants and the importance of robust water quality management practices. This research paper provides valuable insights into the importance of effective water management strategies and the necessity for continuous monitoring and treatment to safeguard public health.

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Drinking water, Waterborne contaminants, Human health.

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Creative Commons Attribution 4.0 and The Open Definition

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"A study to evaluate the effectiveness of structured teaching programme regarding knowledge & home management in reduction of premenopausal symptoms among the women in selected rural areas of Indore M.P". Methods: One group pretest-post test pre-experimental design was used to evaluate the effectiveness of STP regarding menopausal problems and its home manegement of primenopusal symptoms among middle aged women who were selected by puposive sampling method. A structured interview schedule was used to collect data from the study subjects. The tool for the study was validated by7 experts. Reliability was obtained by split half method with y=0.9777. Result: The result fulfill the objective, the result was positive pre-test score mean was 9.32, and post-test mean score was 21.92 and their mean difference was - The SD of pre-test score was 5.36, post test score SD 4.42. Pre-test and post test score was statistically tested by applying t-test at the level of significance 0.05%, calculated t value, thus obtained was 12.80, so the t <0.05%, this indicate that the structured teaching programme was effective regarding home management of primenopausal symptoms in woman's. The association between pre-test knowledge of women regarding knowledge home management of premenopausal symptoms with demographic variables is statistically tested by applying chi-square test. That the computed chi-square value between pre-test knowledge score and the demographic variables i.e. age, educational status, occupation, religion, monthly income of the family, , types of family, age of marriage, age of menarche, previous history of menopausal problem in family and source of prior information, , are indicates that they is no significant for 1 degree of freedom association between pre-test knowledge and demographic variable (p>0.05)

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H: Hypothesis, DF: Degree of freedom

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The corona virus disease-19 (COVID -19) pandemic is a continuing global health crisis and the most difficult challenge we have faced in the most unusual ways. It has resulted in numerous fatalities and has had a significant impact on the global economy and financial markets. Vaccines are a new critical tool in the fight against this voracious beast. They have been released in a number of countries around the world. Although the vaccines' safety and efficacy have been discussed, we know very little about the post-vaccination experience outside of clinical trial settings. Adequate information about the vaccine' Adverse effects can educate the public, dispel myths, and increase vaccine acceptability.R1

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: Adverse effects, COVID-19, Covaxin vaccine clinical trial, Vaccine acceptability

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 Abstract

Cement concrete roads are mainly used in highways ,expressway, urban roads, airport this pavement in long run is cost effective, maintenance free ,save oil and revenue of the government due to its rigidity life is more

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PQC pavement concrete road

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Text-to-image synthesis has emerged as an intriguing research area with the potential to enhance various applications, including image captioning. This paper presents a comprehensive research study on text-to-image synthesis techniques and their impact on image captioning performance

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Text-to-Image Synthesis, Image Captioning, Generative Adversarial Networks (GANs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Fusion of Text and Images, Adversarial Loss ,Caption Generation, Visual Understanding, Semantic Alignment, Multimodal Data Processing, Contextual Integration, Image Generation, Natural Language Processing (NLP), Deep Learning, Coherence between Text and Images, Feature Extraction, Creative Content Generation, Evaluation Metrics (BLEU, METEOR,

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Urbanization is a global phenomenon characterized by the rapid growth of cities and the increasing concentration of populations in urban areas. This research paper aims to analyze the impacts of urbanization on physical and mental well-being. The paper reviews existing literature and research studies to examine the effects of urbanization on various aspects of health, including physical health outcomes such as chronic diseases, infectious diseases, and environmental health risks, as well as mental health outcomes such as stress, anxiety, and depression. The findings suggest that urbanization has both positive and negative impacts on health, depending on various contextual factors. Understanding these impacts is crucial for policymakers and urban planners to develop effective strategies to promote health and well-being in urban environments

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Urbanization is a global phenomenon characterized by the rapid growth of cities and the increasing concentration of populations in urban areas. This research paper aims to analyze the impacts of urbanization on physical and mental well-being. The paper reviews existing literature and research studies to examine the effects of urbanization on various aspects of health, including physical health outcomes such as chronic diseases, infectious diseases, and environmental health risks, as well as ment

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With the eruption of big data, practical recommendation schemes are now very important in various fields, including e-commerce, social networks, and a number of web-based services. Nowadays, there exist many personalized movie recommendation schemes utilizing publicly available movie datasets (e.g., MovieLens and Netflix), and returning improved performance metrics (e.g., Root-Mean-Square Error (RMSE)). However, two fundamental issues faced by movie recommendation systems are still neglected: first, scalability, and second, practical usage feedback and verification based on real implementation. In particular, Collaborative Filtering (CF) is one of the major prevailing techniques for implementing recommendation systems. However, traditional CF schemes suffer from a time complexity problem, which makes them bad candidates for real-world recommendation systems. In this paper, we address these two issues. Firstly, a simple but high-efficient recommendation algorithm is proposed, which exploits users' profile attributes to partition them into several clusters.

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 Keywords

machine learning, collaborative filtering, content-based filtering, matrix factorization, deep learning, NLP, feature extraction, user preferences

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