Volume 11 | Issue 5

 Abstract

The study planned to investigate the effect of Reggio Emilia Approach on the development of Cognitive Skills among preschool children. Quazi single group design was adopted for the present investigation to involve the preschool children in the study. The UKG students studying in JSS Pre School, Nanjanagud, Mysore considered as population. A sample of UKG students has been utilized as subjects to teach cognitive skills as a component arithmetic readiness by using Reggio Emilia Approach. This approach is based on the principles of student-teacher-parent role in learning and it emphasis on self-learning, experimental learning in relationship with environments. Totally 20 subjects were randomly selected to give treatment after administering pre test to them. The self prepared Arithmetic Readiness Scale was employed for this research. A 33-item items scale having internal consistency 0.90 measured through test and re test method with 30 days gap. The obtained data was analyzed descriptively and inferentially by computing paired 't' test and also independent 't' test. The level of sig. was fixed at 0.05 level confidence. The results were get with the help of SPSS Package and MS Excel. The results indicate that the Reggio Emilia Approach is effective in promoting cognitive development in both boys and girls. The lack of significant gender differences highlights the inclusive nature of this approach. These findings support the implementation of the Reggio Emilia Approach in early childhood education to foster cognitive growth and create a positive and equitable learning environment for all children.

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 Keywords

Effect, Reggio Emilia Approach, Cognitive Skills, Preschool, Children

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Detection of diseases of plants is one of the main points which determine the loss of the yield of crop production and agriculture using machine learning.

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Plant disease detection, machine learning

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In recent years, the increasing popularity of Korean Pop Culture and Korean Drama, also known as the 'Hallyu Wave', among Indians, especially the youth, augments the fundamental aspect of the notion of culture which transgresses the temporospatial bipartite. The Korean Wave's vast influence, encompassing all the significant facets ranging from music, drama and films, on the Indian youths popped up a dynamic cultural shift. With the success of the beautiful narrative, beauty products and addictive music which differs from the Western style of music, Korean culture has garnered attention from different people of different diversities leading to becoming a global phenomenon. This paper records not only the transference of two cultures but also attempts to highlight the correlation and acculturation of engrossing consumption of Korean Pop Culture among Indian youths.

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K-pop, K-drama, Films, Youth, Indian audience.

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Corporate governance is the system of rules, practices, and processes by which a firm is directed and controlled. The primary objective of corporate governance is to ensure that a company operates in a manner that is ethical, transparent, and accountable. It provides a framework for making decisions and managing the affairs of the company in a way that maximizes shareholder value while also taking into consideration the interests of other stakeholders. This study is conducted to know the disclosure of voluntary items of corporate governance by the companies. For the purpose of study, a sample of Ten IT Sector companies are selected. Five items have been undertaken on the basis of review of literature; List of Senior Managers , Ownership Structure, Listing on Stock Exchange, Share Prices and Investors Grievance Committee. The study is conducted for the period of five years starting from 2017-18 to 2021-22. The results of the study revealed that the average disclosure by the companies during 5 years is 54.24 percent. TCS is disclosing the maximum of 66.4 percent information regarding the voluntary items of corporate governance while HCL Technologies is disclosing the minimum of 31 percent information regarding the voluntary items of corporate governance. The disclosure by each company differs from the average disclosure by 12.23 percent. Listing on Stock Exchange is the most frequent item of corporate governance disclosed by the companies while Investors Grievance Committee is the least disclosed item by the companies. The study also revealed that the disclosure by the companies is increasing in the starting years and reaches to its maximum of 66 percent in the year 2018-19 but after it starts to decrease and reaches to its minimum of 42 percent in the year 2021-22.

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Governance, voluntary items, disclosure, board and stakeholders

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The current generation has seen a significant rise in milk demand, which has increased the number of milk centers in various regions. Milk is the most important source of nutrition for children, pregnant women, and adults. Milk of the highest quality is dense and free of contaminants. A few adulterants are added to milk to sustain milk income and increase yield. Since farmers supply so much of the milk, there's a fair chance they'll get the information wrong if they don't know what they're doing. The consistency of milk can be harmed by these adulterants. Adulteration of milk has been a major social problem in recent years. Consumption of tainted milk can result in serious health problems. Milk adulteration must be detected, and milk consistency must be ensured. Various types of sensors, such as pH sensors, gas sensors, and temperature sensors, may be used to detect milk adulteration. This implementation is designed to make the process more apparent to all people who deposit milk. The Arduino controller is used in this framework. The entire milk analyser system is regulated by this Arduino. Controllers are connected to a variety of sensors. This is an easy-to-use method.

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: Arduino, LCD, Solar panel, turbidity sensor, gas sensor, pH sensor, temperature sensor, ultrasonic sensor, ESP8266.

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This study introduces a new approach to overcome the limitations of existing methods for testing food freshness, specifically focusing on seafood and onions. By analyzing the volatile organic compounds (VOC) emitted from seafood, the freshness can be accurately determined. An advanced Internet of Things (IoT) system utilizing various sensors was developed to implement this approach. The system effectively detects food ideality, providing valuable information for determining its safety. Moreover, this method contributes to optimizing storage conditions, ensuring longer freshness. Ultimately, the research aims to improve food safety and quality, benefiting consumers and the food industry.

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Volatile Organic Compounds, ideality, freshness, Onion, Seafood.

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The purpose of this project is to create a fire-extinguishing robot. A firefighting robot is the main emphasis of the project that is being showcased. Robots are capable of carrying out jobs more effectively, cheaply, and accurately than people. Because technology has advanced and made human job easier, its popularity has increased. The robot known as a "Fire Fighter Robot" is able to identify and put out fires on its own. It employs a flame sensor to do so and a fire extinguisher to do so. While actively searching for fire, the robot can rotate; the sensors do this searching. When a fire is detected, the robot, which is installed on the sides, can move in its general direction before stopping in front of it and activating an extinguisher to put it out.

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Firefighting robot,flame sensor,camera,bluetooth module,arduino,motor drivers

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The Solar Sea Weather and Pollution Transmission Buoy is an innovative maritime device designed to monitor and transmit real-time weather conditions and pollution data in marine environments. The buoy utilizes solar power and advanced sensor technologies to gather and transmit critical information, providing valuable insights for maritime operators, environmental agencies, and research institutions. The buoy's primary objective is to collect weather-related data, including atmospheric conditions such as temperature, humidity, wind speed, and wind direction. Additionally, it incorporates sensors to measure oceanographic parameters like sea surface temperature, salinity, wave height, and current velocity. These measurements enable accurate monitoring of weather patterns, oceanographic phenomena, and potential hazards in the marine environment. Furthermore, the buoy is equipped with specialized pollution sensors capable of detecting and quantifying various types of marine pollutants, such as oil spills, harmful algal blooms, and chemical contaminants. This functionality aids in the early detection of pollution incidents, enabling rapid response and mitigation strategies to minimize environmental impact.

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Solar Sea Weather and Pollution Transmission Buoy, maritime device, real-time data, weather conditions, pollution monitoring, sensor technologies, solar power, atmospheric conditions, oceanographic parameters, marine environment, environmental monitoring, early detection, pollution sensors, oil spills, harmful algal blooms, chemical contaminants, sustainable power source, remote locations, data transmission, wireless communication, onshore monitoring stations, satellite networks, informed decisi

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Buffer stock refers to a reserve of a commodity that is used to offset price fluctuations and unforeseen emergencies. It is generally maintained for essential commodities and necessities like food grains, pulses, etc. Buffer inventory (also known as safety stock, supply chain safety net, or contingency stock) refers to a surplus of inventory that is stored in a warehouse in case of an emergency, supply chain failure, transportation delays, or an unexpected surge in demand. Buffer stocks help maintain and control the prices of commodities that go out of hand; however, safety stocks protect producers from suppliers upstream. The advantages of buffer stocks are that they maintain price stability, minimize food shortages, and prevent sudden drops in prices. It is aimed to supplement the growing investments of the Indian Government towards Buffer Stocks in India. The buffer stock would be used to control prices in case there is a shortage of stock in the market.an attempt to use commodity storage for the purposes of stabilizing prices in an entire economy or an individual (commodity) market. The proposed system will be smart and efficient thanks to the use of the Internet of Things (IoT), and the user will receive system notifications from anywhere.

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stocks, buffer stock, preserves stocks.

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Introduction: Domestic abuse is a global problem that transcends barriers of race, religion, socioeconomic level, and culture, among others. The World Health Organization classifies youth violence as a global public health issue. According to the WHO, one in three women has experienced domestic abuse. The cause may be a low socioeconomic level, inequality, or discrimination; poverty may contribute to the occurrence of domestic violence. Aims: The aim of the study is to find out the difference in knowledge and attitude between married and unmarried young adults of Dadra and Nagar Haveli. Materials and methods: Non-experimental two group comparative descriptive design was selected for this study to assess the knowledge and attitude of married and unmarried young adults on domestic violence. Results: The study result shows that among 150 samples of Married Young adults majority of samples (74.67%) had fair knowledge a regarding Domestic Violence. Among 150 samples of Unmarried Young adults majority of samples 82.67% had fair knowledge regarding Domestic Violence. Among 150 samples of Married Young adults 22.67% (34) had Neutral attitude and 77.33% (116) had positive attitude towards domestic violence. Among 150 samples of Unmarried Young adults 17.33% (26) had Neutral attitude and 82.67% (124) had positive attitude towards Domestic Violence. The correlation "r" of knowledge and attitude of married young adults is 0.164 at the level of 0.05 and "p" value is 0.045. The correlation "r" of knowledge and attitude of unmarried young adults is 0.323 and "p" value is zero. Conclusion: The study shows that among 150 married samples, the majority of samples had fair understanding, as did 150 unmarried samples. The majority of married and unmarried respondents exhibited a positive attitude toward domestic violence. There is no substantial difference between married and unmarried young adults with regard to their knowledge, but there is a considerable gap between them with regard to their attitudes. The instructional movie was delivered to the samples in an effort to increase their awareness and understanding of domestic violence.

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Key words: Domestic Violence, Knowledge, Attitude, Married Young adults, Unmarried Young adults.

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Humankind has met its basic need for food production through agriculture. Decades ago, farmers mostly grew food for their consumption or sale with others in the same village or neighborhood. They were mostly independent. However, in the present era, the manufacturing environment is changing significantly from self-sufficiency to commercialization. Scientific advances in crops, the use of fertilizers, pesticides, pesticides, and mechanization of agriculture have resulted in a significant increase in agricultural production and thus an increase in commodities and commodity surpluses. Advanced production is accompanied by increased urbanization, changes in incomes, consumer lifestyles and eating habits, and strengthening ties with external markets. Consumers today are not limited to rural areas where food is produced. In addition, as the demand for processed food or semi-finished products increases, the cost of agricultural products is required to rise. These changes require food commodities to move from producers to consumers in the form of value-added products. As one of the most important fields for human endurance. Farmers are people who support agriculture. Agriculture has proven disadvantageous to small farmers as there are agents who earn significantly more than farmers.

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e farmer

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This system has designed a water purification system to augment the village's water distribution system. The system utilizes sediment filtration supplemented with ultraviolet light to effectively filter and sterilize contaminated well water as it is pumped to the village reservoir. The goal of the project was to meet the needs of the village and provide a long-term water treatment solution. The purpose of this report is to present an overview of the entire project including: the design solution, project cost, construction, and maintenance information, testing and evaluation result and future field-testing plan Freshwater availability is a crucial component of society. In India, ground water and rainfall are not always sufficient sources of fresh water; hence alternate sources are now becoming more important. India, a tropical nation, has 300 sunny days and solar radiation of 4-7 kW/hr, which may be used to give an alternative source for distillation technology. Traditional sun desalination techniques including reverse osmosis (RO), multistage flash (MSF), multifaceted distillation (MED), and electro dialysis (ED) have advanced to a greater extent in recent decades. This study examines several research initiatives on active and passive solar distillation/desalination that have been created in India.

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Solar water purification Solar water distillation Solar still Solar desalination Solar water treatment Solar evaporation Solar thermal desalination Photovoltaic water purification Solar energy water purification Solar-powered water distillation Solar water purification system Solar distillation unit Solar water purifier Solar desalination plant Concentrated solar power for water purification Solar thermal water treatment Solar-powered reverse osmosis Solar-assisted distillation Solar thermal des

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-- The Student Database Management System is a state-of-the-art web-based application that has been specifically designed to assist educational institutions in managing student information with ease and efficiency. The system is equipped with numerous features that enable administrators to maintain, update, and manage student records, which include personal information, academic performance, and attendance. To ensure a seamless and intuitive user experience, the front-end interface of the system has been meticulously crafted with a focus on simplicity and user-friendliness. The use of HTML, CSS, and JavaScript allows for a consistent and visually appealing interface that is accessible from any device, be it a desktop computer, tablet, or smartphone. Moreover, the system's responsive design guarantees that administrators can access and update student information quickly, regardless of the device they use. JavaScript, on the other hand, provides dynamic functionality, such as real-time validation and form submission, to further enhance the user experience. This enables administrators to easily edit, update and retrieve student information, leading to more efficient data management. The system's back-end has been built using Node.js, a popular server-side JavaScript runtime, and MongoDB, a flexible NoSQL database. This choice of technology ensures that the system is capable of handling server-side requests efficiently, while MongoDB's flexible data model provides a robust and scalable architecture capable of handling large amounts of structured and complex data, to facilitate communication between the front-end and back-end, the system uses a RESTful API, providing a modular architecture that is scalable and adaptable to the unique needs of any educational institution. This also ensures that the system can be easily integrated with other systems, enabling institutions to leverage other resources and functionalities as needed. Overall, the Student Database Management System provides a comprehensive and sophisticated solution for educational institutions to manage student information effectively. The system's user-friendly interface and scalable architecture ensure that administrators can efficiently manage student data, ultimately leading to better student outcomes.

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HTML, CSS, JavaScript, Nosql, API

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 Abstract

Dr.harivashrai bachhan ki aatmakatha me ytharthvad

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Dr.harivashrai bachhan ki aatmakatha me ytharthvad

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Ergonomics is one of the important factors that every organization should be aware of its cause and affects that to the employee. Most of the industries, focus only on the production output but sadly not on the employee's health and safety. This usually happens in small and medium scale industries such as tier 2 & tier 3. It is due to lack of awareness on ergonomic injuries and illness. There may also another reason to neglect ergonomic concern is to address a concern without knowing the right technique or the root cause. An ergonomic illness is a slow process and may result in chronic health issues such as Raynaud's syndrome, Thoracic outlet syndrome, Tendinitis syndrome and tendosynovitis syndrome. Now-a-days awareness on ergonomics are frequently provided and the importance to address an ergonomic concern is also increased. In this report, we can understand the statement of ergonomics, injuries and illness that caused due to poor ergonomics, assessment tools and methods to evaluate the risk and control measure to minimize the ergonomic concerns in the work environment.

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Ergonomic injury & illness, MSD's, Reba, niosh lifting index.

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Accounting means maintaining records of usage of natural resources by organization in the process of development of business and to increase revenue. In the race of earning more and more, organization do overuse of resources which cause depletion of natural resources. People thinks, we have unlimited resources but we don't have. Resources are scarce, so organization should use it in right manner. Because of this practice of organization, green accounting like term emerged. Govt. had taken action after Stockholm conference 1972.govt. had taken more focuses on this after Bhopal gas tragedy. Govt. made various act for this and make some parameters to follow them to record them and ensure sustainability. We are lacking in implementation of these act. All businesses adhere to them in accordance with their wishes. It must faithfully abide by them, not only make laws. The only way to guarantee sustainability is in this way.

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Scarce natural resources, Sustainability, implementation of law, environmental reporting.

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Financial organisations, merchants, and cardholders are all concerned about credit card fraud. Various approaches and techniques have been developed and applied to reduce the dangers associated with fraudulent activity. The purpose of this literature review is to provide an overview of current research and achievements in credit card fraud detection. It discusses the primary approaches, algorithms, and datasets utilised in this discipline, emphasising the advantages and disadvantages of each approach. In addition, the paper analyses new trends, difficulties, and future perspectives for credit card fraud detection.

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Machine Learning, Fraud Detection, Auto-encoder, restricted Boltzmann algorithm

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In today's world, signatures are crucial for authentication and authorization in various fields. However, people may forget their signature or make mistakes while processing it. Therefore, there is a growing need for automated solutions for live person verification. Unlike traditional identification methods such as passwords, PINs, or key cards, which can be forgotten or stolen, facial features are unique to individuals and cannot be easily replicated. Live camera 3D liveliness detection technology can enhance the pictorial information of a facial image to enable human interpretation and autonomous machine perception. Digital image verification involves converting an image into an array of small integers known as pixels and processing it using computer hardware. Edge detection is an essential task in image processing because it characterizes boundaries. This project aims to simplify and improve 3D liveliness detection using advanced technologies such as artificial intelligence and machine learning to prevent illegal activities.

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machines learning, image processing

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Simple, rapid, economical, precise and accurate method to identify actual % drug release of Triamcinolone Hexacetonide form its pharmaceutical dosage form has been developed. The reverse phase HPLC method was selected and developed for the identifying to its simplicity, suitability, ruggedness and its wider usage. The final chromatographic condition was achieved column Xselect CBH C18 (150 mm x 4.6 mm ID, 5 ? particle size) ,20 mM phosphate buffer: Methanol (20:80) as mobile phase, at a flow rate of 1.2 ml/min. Detection was carried out at 238 nm retention time of Triamcinolone Hexacetonide is 10 min. Dissolution medium that has a similar pH to the small intestine, dissolution testing can better simulate the in vivo conditions under which the drug will be absorbed. Therefore, based on pH dependent solubility testing, 6.8 pH phosphate buffer was used as dissolution medium for the trials by using USP type II apparatus. Linearity observed for Triamcinolone Hexacetonide is 0.99944. At 60 min time interval %drug release is 88.7 so we can conclude that developed method was found to be accurate, precise and rapid.

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Triamcinolne Hexacetonide, dissolution media, RP- HPLC method, phosphate buffer, Dissolution study, type II apparatus, validation

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The protection of farms from animal intrusions is a critical concern for farmers worldwide. Conventional methods of farm protection often fall short in providing effective and efficient solutions. However, recent advancements in deep learning techniques offer a promising approach to mitigate these challenges. Deep learning, a subset of artificial intelligence, involves training neural networks on extensive datasets to recognize patterns and make intelligent decisions. By harnessing the power of deep learning algorithms, farmers can develop sophisticated systems that detect, classify, and deter animal intrusions, safeguarding their crops and livestock. This abstract provides a concise overview of how deep learning can revolutionize farm protection from animals, highlighting its applications in detection, classification, behavior analysis, and predictive analytics. Additionally, it emphasizes the benefits of intelligent deterrence systems driven by deep learning algorithms. The integration of deep learning into farm protection practices has the potential to enhance agricultural security, reduce losses, and ensure sustainable productivity in an increasingly challenging environment.

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 Keywords

Image Processing, Deep learning, Wild animals attack, Crop protection, Animal detection, Classification.

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Creative Commons Attribution 4.0 and The Open Definition