Volume 11 | Issue 5 |

 Abstract

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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 Keywords

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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 Keywords

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

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 Abstract

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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 Keywords

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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 Keywords

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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Creative Commons Attribution 4.0 and The Open Definition

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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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Creative Commons Attribution 4.0 and The Open Definition

 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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Creative Commons Attribution 4.0 and The Open Definition