Volume 11 | Issue 5

 Abstract

The pandemic has taught us how important it is to protect our environment and lead a responsible life in the society. The pandemic overhauled the health care systems and forced many nations to look for alternatives to strengthen the nation. The rich indigenous environmental knowledge of our country helped us to protect ourselves from the pandemic and also help the world. Many indigenous practices like use of turmeric, amla etc., steam inhalation, yoga, preparations like kadha etc., have all made India strong and added to this the development of indigenous vaccines helped India to fight the battle successfully. Indigenous knowledge systems facilitate holistic development and empower people in their struggle for survival and achieve self- efficiency. The present paper highlights the indigenous environmental knowledge for holistic development especially in the field of Education.

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 Keywords

Indigenous Environmental Knowledge, Holistic Development, Yoga, Self- efficiency

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As a country with one of the largest young populations in the world and a booming economy, youngsters in India expect a brighter future. As a result, the young Indian Investor today shows an unprecedented degree of financial prudence. Most Indian youngsters invest directly in the stock market. However, it is always recommended to have an in-depth knowledge of the market before venturing in, as the stock market's performance depends on various macro and microeconomic factors. Thus, the youth of India are very aware of investment possibilities around them and intelligent enough to know what is best for them.

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Investment, Behavioral Inclination, Investor attitude

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Food is a key aspect of our lives because it is the most fundamental necessity of all living things on our planet. Because agriculture provides the majority of our food, it is extremely significant. Agriculture works to produce food goods for the expanding population, but plant diseases also impede the growth and nutritional value of food crops. Here, we'll focus on five different plants: the tomato, the hibiscus, the spinach, the mango tree, and the bitter gourd. This paper suggests a CNN-based method for earlier disease detection in plants. The method involved the following steps: image segmentation, feature extraction, and picture pre-processing. A Convolutional Neural Network (CNN) classifier is created using the outcomes of these three phases. To conduct research and analysis, an image of the plant's diseased portions is obtained, compared to the desired dataset, and used to predict the disease and provide subsequent treatment options. Following the diagnosis of the disease, the pesticides, their quantity, and the area where they should be applied are displayed. Additionally, it will display the vicinity where pesticides can be found.

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 Keywords

Agriculture, Machine Learning, CNN, Image Segmentation, Feature Extraction, Automatic disease Recognition, Classification

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Apps and websites that facilitate online dating are rapidly becoming increasingly common ways to meet potential partners. Online dating, despite (Mlaz, 2020) having some great qualities, has been shown to have a negative impact on how people regard themselves. Because online dating is predominately (Enguix & Ardevol, 2012) based on visually observable characteristics, users are commonly objectified as a result of their participation in the activity. This may result in unfavourable effects in terms of body dissatisfaction. On the other hand, the outcomes of prior research studies investigating this link have produced conflicting findings. The present study aimed to correlate body image and self-esteem among those adults who uses online dating apps. Data from 100 participants were gathered using purposive and snowball sampling technique. Rosenberg's self-esteem and Body Uneasiness Test has been used to measure the variables. The findings depicted that there is a significant correlation between body image and self-esteem among those who use online dating apps and body image significantly predicts self -esteem. In addition, society as a whole can relax its judgement of persons who use online dating more regularly, who it incorrectly assumes are trying to make up for shortcomings in their offline lives.

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Body image, Self-esteem, online-dating,

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The objective of this study is to formulate and evaluate poly-herbal shampoo for cosmetic purpose from herbal ingredients. Hibiscus powder, Neem powder, Henna powder, Amla powder, Shikakai powder, Ritha powder, Alo-vera gel was procured from local market in powdered form also gel form Banyan root powder and Soya milk is prepared by homemade method, then prepared decoction of these ingredients and mixing with each other and evaluated for its organoleptic and physico-chemical characteristics. Herbal shampoo is used to cleansing of the hair also conditioning, smoothing, of the hair surface, good health of hair, hair free of dandruff, dirt grease and lice above all, it's safety benefits are expected.

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Herbal shampoo; Eclipta prostrata, Sapindus indica, Evaluation of shampoo

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This paper discusses with the review of using Carbon Nanotube (CNT) for development of Ultra-high strength concrete (U.H.S.C.). MWCNT'S will be used as nano reinforcement in cement, this improves microstructure of cement. Hence objective of this literature survey is to collect past data on properties of concrete by application of carbon nanotube. The CNT are highly recommended because of their high strength behaviour with less quantity of dosses. CNT is majorly known for properties such as high tensile strength, stable chemical nature, corrosion resistance & high thermal behaviour. But we will study only few properties such as microstructure behaviour, compressive strength, tensile strength & flexural strength

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Multiwalled carbon nanotubes, compressive strength, microstructure behaviour.

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Abstract: The degree of acidity(pH) and total dissolved solids (TDS) is very important for the fish's health. The Fish in the aquarium release their waste in the form of ammonia. Ammonia is toxic to all other aquatic organisms. The high level of ammonia in water will affect the pH and TDS levels of water. If pH and TDS levels in the water are not good then it will affect the fish's health. Usually, the pH sensor and TDS sensor are used to monitor the pH value and TDS value. The fish requires a 7-7.5 pH value and 400ppm-450ppm of TDS value. If these sensors are not working properly, then it will affect the fish in the aquarium. This proposed system stores these sensor values for one day in a CSV file(dataset). The isolation forest algorithm is used for detecting the outlier in the dataset. The Linear regression algorithm is used for predicting the pH value and TDS value range. Based on the prediction, the pH level and TDS level of water can be checked once again and then can be changed. By detecting the outlier we can identify the hardware faults in the system. By predicting the pH value and TDS value, the water can be changed on time to save the aquatic organisms.

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Prediction, TDS value, outlier detection

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Nowadays, cosmetics are becoming more high demand in daily life and it was used frequently by many of people per year. Mankind uses various products to enhance beauty and elegance to look young and charming. Cosmetics thus play a vital role in human life. Now days, herbal cosmetic are widely used because of the belief that they have fewer side effects and better safety. Hair is one of the primary parts of the body which acts as a protective appendage. The main objective of the present work is to develop an herbal hair serum for general purpose (daily use) using various herbs with this evaluate the characteristics of cosmetic serum and to identify the best formulation of cosmetic serum. Three formulations of cosmetic serum (H1, H2 and H3) with different concentration of excipients have been developed. They were evaluated for its physical appearance, pH, homogeneity test, viscosity, spread ability test and stability test. All the parameters were found to be good and within the standards. Current research has revealed that herbal formulations are effective in enhancing hair consistency.

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Cosmetic, hair, herbs, formulation, effective, Beauty, Herbal hair serum

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The air driven engine is an eco-friendly engine which operates with compressed air. An air driven engine is a pneumatic actuator that creates useful work by expanding compressed air. There is no mixing of fuel with air as there is no combustion, an air driven engine makes use of compressed air technology for its operation. The compressed air technology is quite simple, conventionally rotary air engine are used but they require high operating pressure and high air consumption hence they find limited applications. The aim of project is to develop a micro air consumption engine with low air consumption up to 3cc per stroke and will operate such that when this compressed air expands, the energy is released to do work. So, this energy in compressed air is utilized to displace a piston which operates a linear to rotary actuator which further drives the energy multiplier flywheel. Thus, together by combination of the micro air consumption engine and novel flywheel we can get the maximum possible mileage from the compressed air. The project wok will include design, development and analysis of the air engine, rotary linear actuator, modified energy multiplier flywheel and the vehicle to demonstrate the working of the combined system.

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Energy multiplier flywheel, compressed air engine, micro air consumption engine.

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Neem (Azadirachta indica ) tree has attracted worldwide prominance owing to its wide range of medicinal properties, neem leaves and its constituents have been demonstrated to exhibit anti- inflammatory, antihyperglycemic, antiulcer antimalarial, antifungal, antibacterial, antimutagenic and anticarcinogenic properties.

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Azadirachta indica take care of skin and body parts Neem .

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This bibliometric research paper aims to provide a comprehensive analysis of the research publications related to the Startup India Scheme in the state of Uttar Pradesh. The Startup India initiative was launched in 2016 by the Government of India to foster entrepreneurship and promote innovation in the country. Uttar Pradesh, being the most populous state in India, has witnessed significant participation and implementation of this scheme. This paper presents a systematic review of 50 research articles published between 2017 and 2022, analyzing their key characteristics, research themes, methodologies, and the impact of the Startup India Scheme on startups in Uttar Pradesh. The findings of this bibliometric analysis can guide policymakers, researchers, and practitioners in understanding the progress, challenges, and opportunities associated with the Startup India Scheme in Uttar Pradesh.

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Startup India, Entrepreneurship, Challenges, Opportunities

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Crop prediction plays a crucial role in agricultural planning and decision-making. In this research paper, we propose an automated crop prediction system that utilizes machine learning algorithms to forecast crop yields. The system leverages historical climate data, soil characteristics, and crop-specific features as input variables to train and develop accurate predictive models. To build our crop prediction system, we employ a comprehensive dataset comprising years of historical agricultural data, including weather patterns, soil properties, and crop yields. Feature engineering techniques are applied to extract meaningful features from the dataset, while ensuring data quality and consistency. Several machine learning algorithms, such as random forests, support vector machines, and gradient boosting, are employed to develop predictive models. These algorithms are trained and validated using cross-validation techniques to optimize their performance and generalization capabilities.

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Crop prediction, machine learning, automated system, data pre-processing, feature engineering, algorithm evaluation, performance metrics, Smart farming

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Due to the onset of COVID-19 pandemic, social isolation and quarantine have emerged as global essentials. IoT health monitoring systems prevent patients from meeting with medical professionals and making frequent doctor visits. However, medical staff must regularly monitor and observe the health of many people. The proposed work uses technology to make it easier for patients to get a diagnosis and treatment earlier. Using Internet of Things (IoT) technology, a smart health monitoring system is being developed that can monitor a person's temperature, heart rate, oxygen level, and blood pressure. This system is beneficial for villages and rural areas where nearby clinics can communicate with city hospitals about the health conditions of their patients. Nonetheless, in the event that any progressions happen in a patient's wellbeing in light of standard qualities, the IoT framework will caution the doctor or specialist in like manner. This health monitoring framework in light of IoT assists specialists to gather ongoing information easily. The system is able to regularly monitor the parameters thanks to the availability of high-speed internet. Additionally, the real-time data storage makes it possible to quickly retrieve previous measurements. Individual COVID-19 patients could be identified and treated earlier with the assistance of this system.

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IoT, Health monitoring, Sensor interfacing, Arduino, Android platform

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The COVID-19 pandemic has significantly impacted consumer behaviour and the e-commerce landscape. This study aims to analyse consumer attitudes towards online shopping during the pandemic and examine the impact of COVID-19 on the sales of selected FMCG companies. The research objectives were to assess consumer perceptions of online buying during the COVID-19 pandemic and analyse the effects of COVID-19 on the sales of two FMCG companies. A random sampling method was employed to select 100 consumers based in Ahmedabad, Gujarat. The study focused on understanding consumer attitudes towards online shopping and their perception of this mode of buying during the pandemic. Additionally, the financial statements of the selected FMCG companies for the fiscal years 2019-20 to 2020-21 were analysed to determine the impact of COVID-19 on their sales performance. The data analysis utilized two statistical techniques: a two-tailed t-test and chi-square testing. The two-tailed t-test was used to examine whether there was a significant difference in consumer attitudes towards online shopping before and during the pandemic. Chi-square testing was employed to explore the relationship between COVID-19 and the sales performance of the selected FMCG companies.

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Covid-19, Sales, Consumers, Online Shopping

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These days, there are numerous import and export activities happening. Oil spills in the water have happened frequently as a result of expanding business and the extensive use of sea shipping, which is the least expensive technique. The effects of large-scale oil spill accidents on industry and ecosystems have been felt all around the world. These oil spills resulted in the deaths of several birds and marine creatures. A slick, or thick layer of oil, is left behind after an oil spill, allowing sunlight and oxygen to reach the water. It affects life beneath the water since there isn't any oxygen or sunlight. Coming into direct touch with some oils can be highly harmful for individuals as well because they are dangerous and poisonous. As a response to these oil spills, various types of oil skimmers are in use. Examples include drum, belt, pipe, and rope types. All of them are used in the cleanup of oil spills. Nemours carried out a comprehensive literature review study on the topic of oil spill recovery in order to comprehend how oil skimmers work most effectively. The techniques employed to clean up oil spills are the exclusive focus of this study.

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Oil, Functions of Oil Skimmers, Oil Pollution etc

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This research paper presents a comprehensive analysis of the influence of titanium dioxide (TiO2) on enhancing the cleanliness of concrete structures. The objective of this study is to investigate the effectiveness of TiO2 in promoting self-cleaning properties and reducing maintenance requirements in concrete. Traditional cleaning methods for concrete surfaces are often labor-intensive, costly, and environmentally unfriendly. In response to these challenges, the integration of photocatalytic materials, such as TiO2, into concrete formulations has emerged as a promising solution. TiO2 exhibits photocatalytic properties, allowing it to interact with ultraviolet (UV) light and generate reactive oxygen species (ROS), which can break down organic substances and pollutants. This study conducts a rigorous experimental methodology, including laboratory experiments and field observations, to evaluate the impact of TiO2 on concrete's self-cleaning capabilities. The analysis encompasses surface cleanliness, degradation of organic substances, reduction of pollutants, and long-term durability under real-world conditions. The results highlight the effectiveness of TiO2 in degrading organic substances, reducing pollutants, and maintaining cleaner concrete surfaces. Furthermore, the research investigates the implications of TiO2 incorporation on maintenance requirements and lifecycle costs, emphasizing the potential for sustainable and maintenance-friendly concrete solutions. The findings from this study contribute to advancing the understanding of TiO2's influence on enhancing concrete cleanliness, paving the way for the development of cleaner and more sustainable concrete structures.

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Titanium Dioxide (TiO2), Rhodamine B dye, TiO2, Self-Cleaning Concrete, Photocatalyst, Compressive Strength.

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We live in the "era of empowerment" and distributive leadership where possession of leadership by one is not sufficient to strive in the storm of competition and rapid change. Similarly, it is almost impossible for organisations to excel and survive with a homogeneous workforce, due to which workforce diversity and inclusion are one of the most emerging topics in today's world. Organisations are making all possible efforts from formulation to execution of several policies for bringing more effectiveness in the recruitment and selection process to ensure the acquisition, retention, and satisfaction of a highly varied workforce. A diversified workforce brings competitive advantage, innovation, new ideas, perspectives and cost-benefit to the organisation on the other hand communication issues, cultural misunderstandings, discrimination, and slower decision-making are some challenges faced by organisations. In this paper, efforts have been made to explain the concept of workforce diversity and inclusion various benefits and challenges are also discussed, along with the several perspectives and practices adopted by some leading organisations are presented in a lucid manner. This paper is based on secondary data. After going through readily available data, it emerged that adopting diversity and inclusion in the workplace is inevitable to hit the jackpot as diversity brings innovation, creativity and better financial returns.

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workforce diversity, equity and inclusion.

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In this paper, we derive the generating functions for the number of ith smallest parts ofr-MI ipartitions of n. We obtained results for even and odd partitions.

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M1 paM1 partition; M2 partition; r-partition;over partitions; generating function .rtition; M2 partition; r-partition;over partitions; generating function .

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Protecting our environment is essential in today's developing world. Around the world, a lot of instances involving natural and man-made calamities were occurring. One such environmental tragedy is wildfire. Once it gets going, the fire in the deep forest spreads throughout the entire area, burning and destroying everything in its path. Due to dry conditions, fire spreads more readily on hot days and decimates grasses and trees in forested areas. Such forest fire catastrophes need to be reduced in order to safeguard the habitats of the forest's flora and animals. The objective of this project is to develop and execute a system using Internet of Things technology. This system aims to anticipate and identify forest fires, transmitting the exact location to relevant authorities. By doing so, it empowers firefighters to promptly extinguish the fire at its initial point of ignition. This proactive approach prevents the fire from spreading across a wide area and enables preemptive measures to prevent any potential fires that might occur soon.

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environment , man- made calamities, catastrophs.

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In this report the design and fabrication of mechanism for emergency exit in building is introduced. For escaping in high rise building is very important in case of fire, terrorist attack accident or any other cases. This machine is intended to provide an evacuee with an alternative evacuation route that is only to be used as a last resort during emergency situations. If the primary roots of exit are unavailable overwhelmed or obstructed in any way. There is a better way than waiting to be rescued. Experiment of this prototype machine shows that this equipment can release escape the person in time and bring evacuee more safety and escape efficiency. This machine is developed to provide the user and serve ability into the building evacuation system when the stairs and elevators are not possible or damaged. It gives the individual a chance to make their escape from a building in the critical minutes before rescue services arrived. The machine which we have designed here is suitable for any age group or any weight. This prototype is designed for 100 kg load, the machine is equipped with unique governor mechanism for downfall speed control and speed can be adjusted instantly. The machine is reusable again and again, any quantity of evacuee can escape through this machine. Experiments of its prototype in results, shows that this equipment can release evacuee on time with safety.

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DESIGN AND MANUFACTURING OF MECHANISM FOR EMERGENCY EXIT IN BUILDING

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