Volume 12 | Issue 5 |

 Abstract

Data mining has grown exponentially over time, leading to research capabilities in machine learning (ML) and natural language processing (NLP). Sentiment analysis of YouTube comments is a hot topic these days. Although most videos have a large number of user reviews and reviews, little work has been done to date on extracting topics from these reviews because their information is not consistent and good. In this article, we use machine learning techniques/algorithms to perform sentiment analysis on YouTube comments on trending topics. We have found that analysing trends to uncover trends, trends, and predictions can provide a better understanding of the impact of real-world events on public opinion. The results showed that changes in user sentiment closely matched real-world situations associated with each keyword. The main purpose of this study is to help researchers determine the quality of research literature on opinion analysis. This research article provides a comprehensive overview of the development, implementation, use, evaluation, and future directions of Comment Pulse. Through detailed data, measurement methods, and future research, we demonstrate the effectiveness, utility, and potential impact of pulse analysis in understanding and using imagination in the digital age.

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 Keywords

Sentimental analysis; citations; machine learning; classification;

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Numerous issues are involved in the growth and development process of plants such as environmental stresses, pathogen attack, etc. which disrupts their normal life cycle. Due to all these disturbances, a decline in the agricultural yield has been seen. Micro RNAs are small non-coding, endogenous nucleotide belongs to the class of small RNA; which functions to regulate the gene at post-transcriptional level in the plant. They are stress bio-regulators which plays significant regulatory roles in the stress conditions and biological development of plant by reducing their workload. The study aims to identify the involvement of different miRNAs and their major targets in multiple abiotic stresses like salinity, drought, temperature, etc. and in several developmental processes including development of root, leaf, flower, fruit, phase transitions in plants, etc. By targeting their particular gene transcripts, miRNA plays their functional roles in several plants.

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 Keywords

MicroRNA, plant, stress, developmental processes, transcription factors, high throughput sequencing, post-transcriptional.

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From the ancient period, Ayurveda elaborated the genetic disorders as AdibalaPravruttaVyadhi. All these diseases are Kashtasadhya or Asadhya ,so it is better to prevent them. So this aspect also widely explained in Samhitas. Prevention of genetic disorders at different phases according to Prachin(Ayurveda aspect) and Modern aspect is collectively reviewed in this article. .Methodology mentioned is regarding with four crucial elements like Rutu,Kshetra,Ambu,Beeja.according to BrihatrayiDiscussion-For better and healthy progeny, planning of pregnancy by parents should must. It is to be done before conception. There are much more similarities between genetic counseling in aspect of Ayurveda and modern medical science. Spiritually and technologically it is helpful for psychologically and physically healthy progeny and society.

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 Keywords

Genetic disorders, Prevention, Genetic counseling, Beeja, Beejabhaga, Paricharya

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Through the integration of IoT technology, the effort tackles major issues with cold chain management of perishable food items. IoT sensors that track temperature, humidity, and other parameters in real-time allow for proactive steps to be taken to ensure product quality. By identifying and mitigating threats using predictive insights generated by advanced analytics, the likelihood of spoiling is decreased. Process optimization through automation reduces the possibility of human mistake and spoiling while in storage and transit. Through its potential to enable targeted recalls and guarantee traceability from farm to fork, blockchain technology improves food safety. Utilizing energy-efficient techniques to reduce waste and carbon emissions is a major component of sustainability. The project's main goal is to completely transform cold chain management by building a robust, long-lasting, and effective system that guarantees food safety.

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 Keywords

Perishable food goods, automation, blockchain technology, sensors, predictive insights, cold chain management, and sustainability

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Malnutrition in children under 6 is a significant global health concern, affecting an estimated 149 million children worldwide [1]. Early identification is crucial for timely intervention and improved health outcomes. This study explores the potential of image processing techniques for the non-invasive detection of malnutrition in this age group. The approach leverages digital images, likely facial images, of children to automatically classify their nutritional status. Machine learning algorithms, particularly Convolutional Neural Networks (CNNs), are trained on extensive datasets of labelled images. These images depict children with varying nutritional states, allowing the CNNs to learn the visual characteristics associated with malnutrition. Potential indicators identified through image analysis could include sunken cheeks, puffy eyes, and changes in skin texture. Once trained, the system can analyse new images and predict if a child is malnourished or healthy. Compared to traditional methods like anthropometric measurements, image processing offers a potentially rapid, scalable, and non- invasive approach. This technology holds promise for revolutionizing how malnutrition is detected in young children, particularly in resource-limited settings where access to traditional methods might be limited. By enabling early detection and intervention, image processing could play a vital role in improving child health and well-bein

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Abstract, introduction, literature survey,study area and dataset, methodology, result, conclusion, reference

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This research explores the dividend policies in the Fast-Moving Consumer Goods (FMCG) sector, focusing on the factors influencing dividend distributions among top FMCG companies. By examining a decade's worth of data from major FMCG firms, the study investigates the relationship between dividend policies and various financial indicators, including profitability, company size, market capitalization, and liquidity. Utilizing quantitative methods like regression analysis, the research identifies significant trends and patterns in dividend payouts. It also examines the impact of external factors, such as economic conditions and regulatory changes, on these policies. The results indicate that while profitability and cash flow stability are key determinants of dividend decisions, market conditions and company-specific strategies are also important.

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Consumer Dividend Policy, FMCG Sector, Profitability, Firm Size, Market Capitalization, Liquidity, Economic Conditions, Regulatory Changes, Cash Flow Stability, Dividend Payout, Financial Metrics, Corporate Finance, External Factors, Investor Insights, Policymakers, Corporate Managers.

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‘Social behavior is as much about what we do as it is about what we don’t do’. Daniel Goleman Social Behavior is nothing but an action performed by organism which affect or influence the behavior of other members of the group.

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Social Behavior, Socialization, Social identities, empathy, relationships, communication

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tress, Agni, Psychological well-being, Digestive health, Ayurveda

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Solar disinfection using Fresnel lenses is an innovative method for treating wastewater effluent from sewage treatment plants (STPs). This study focuses on site selection criteria, sample collection techniques, Fresnel lens selection considerations, and wastewater testing protocols. The project aims to harness natural UV radiation from sunlight to disinfect wastewater effectively. Key findings include the importance of maximizing solar irradiation, avoiding shadows, proximity to the source, considering flow rate, land availability, grid connection, compliance with environmental regulations, and community acceptance. Sample collection methods ensure the integrity of water samples for accurate analysis. Fresnel lens selection involves defining project requirements, considering focal length, effective aperture size, material, optical efficiency, mounting, tracking, cost, and supplier support. Wastewater testing evaluates parameters such as temperature variation, microbial content, dissolved oxygen, BOD, COD, pH, MLSS, turbidity, and color. The project cost includes materials and testing expenses. Solar disinfection effectively reduces bacterial contamination, making it a preferred method for wastewater treatment.

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Solar Disinfection, Fresnel Lens. Methodology, Site, Selection, Sample Collection, Cost of Project, Test to Be Conducted

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The manufacturing sector is crucial for India's economic growth, providing significant employment opportunities and contributing to the GDP. Despite its potential, the sector faces several challenges, including high business costs, skill gaps, limited access to financing, unstable infrastructure, and intense global competition. This research aims to identify the primary obstacles hindering the growth of India's manufacturing sector and proposes viable solutions. Key issues include complex regulations, inadequate infrastructure, and a mismatch between skills and industry needs. Solutions involve streamlining regulations, investing in infrastructure and skill development, enhancing financial access, and adopting advanced technologies like Industry 4.0. By analyzing successful strategies from other nations, particularly China's manufacturing boom, the study provides insights into policy reforms, investment in infrastructure, and the promotion of innovation. The findings emphasize the importance of public-private partnerships, continuous learning, and robust monitoring mechanisms to foster a competitive manufacturing environment. Future research should focus on the long-term impact of policy changes and the integration of new technologies in the manufacturing sector.

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 Keywords

1. Indian Manufacturing Sector 2. Industrial Policy 3. Skill Development 4. Infrastructure Improvement 5. Technological Advancement 6. Global Competition

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