Volume 12 | Issue 4 |

 Abstract

In recent years, the automotive sector has seen a growth in the number of vehicles on the road, resulting in an increase in tyre failures. Traditional methods of tyre replacement, which involve manually removing and tightening wheel nuts one at a time, are frequently time-consuming and physically difficult. To overcome this issue, a variety of inventive equipment have been developed to speed the wheel nut repair procedure. The development and use of multi-nut openers represents a significant leap in vehicle repair. These tools are designed to remove and tighten numerous wheel nuts at the same time, considerably reducing the amount of time and effort necessary for tyre replacement. The significance of these tools rests in their capacity to improve efficiency, safety, and lessen the strain on car owners and mechanics. This research paper will provide an overview of recent advances in multi-nut openers for automotive wheel repair. It will look at the design, manufacture, and functionality of these tools, with a focus on their ability to handle the issues of tyre replacement. The paper will also address the significance and usability of multi-nut openers in diverse automotive environments, including as garages, workshops, service stations, and assembly lines.

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 Keywords

Multi Nut Opener, Tightener, Fabrication, Automobiles, Wheel Nut Remover.

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Today, technology has changed the way people live and the processes they use to carry out daily activities buying and selling is one of the important human activities and over the years, these activities have become more and more complex to enhance the ease and comfort of the experience. The shopping and buying experience has changed further over the past decade with the advent of the Internet online shopping and e-commerce in general have become popular and offer more convenient and less stressful options for online transactions. Consumers can now access products from stores as far away as they want, a factor that gives them the opportunity to make choices without considering distance and long queues although online shopping promises to be a better option for consumers, the channel is still vulnerable to threats, mentioning factors that can seriously damage user privacy, leading to data breaches and data security breaches. As a result, consumers are unsure whether to trust online shopping or not. This document includes information about threats related to online shopping and highlights consumer perceptions, including negative consumer perceptions. This document raises awareness of cybersecurity issues, including ways that online shoppers and sellers can protect themselves from data breaches and attacks through like scams and adware.

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 Keywords

Laws Protecting the Rights Of Consumers, E- Commerce, Consumers, Rights, Limitations, India

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The primary causes of vision impairment and blindness are retinal diseases, which include diabetic retinopathy, age-related macular degeneration, glaucoma, and retinal detachment. Correct and timely diagnosis of these illnesses is essential for efficient treatment and patient care. This abstract describes a novel use of convolutional neural networks (CNNs) for the diagnosis and prediction of various retinal diseases. A large dataset of retinal images covering a variety of retinal diseases is gathered and labelled with disease names in this study. To guarantee consistency and improve the model's capacity to pick up pertinent features, these photos go through a thorough preprocessing process. Techniques for data augmentation are used to diversify datasets more. The architecture of a CNN is intended for the categorization of retinal disorders. Convolutional layers are used in this architecture to extract features, and pooling layers are used to reduce dimensionality. Fully connected layers are then used to classify diseases such as Glaucoma and Multiple diabetics. Using supervised learning methods, the model is trained on the annotated dataset, optimizing the loss function and keeping an eye on validation performance to avoid overfitting. On a different test dataset, the CNN model's performance is evaluated using a number of evaluation metrics, such as accuracy, precision, recall, F1-score, and the AUC-ROC score. Additionally, post-processing steps are used to eliminate predictions with low confidence, increasing the model's clinical usefulness.

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 Keywords

Fundus images, Machine learning, Deep learning, Convolutional neural network algorithm, Retinal diseases.

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Abstract The paper attempt to explore the relationship between study habits and academic achievement of senior secondary school students of District Baramulla. A sample of 430 senior secondary school students was taken through a random sampling technique, of which 215 were male students, and 215 were female students from both the private and government senior secondary schools. Study Habit Scale developed by Dimple Rani and Jaidka (2015) was used. For the analysis of the data-Mean, SD, correlation and t-test were used for the present study. The findings of the research showed that student's academic achievement is positively and moderately influenced by their study habits. It revealed that compared to male students, female students had slightly better study habits. Additionally, it was found that students in private schools have better study habits than those in government schools.

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Keywords: Study Habits, Academic Achievement, Senior Secondary School Students

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 Abstract

In the bank challan filling process, illiterates often face significant challenges in accurately completing the forms. Many find themselves in need of manual assistance from neighbors or bank officers to fill the challan and they have to wait in a queue in long time. To address this issue and streamline the process, automated challan filling systems have been introduced. These automated systems aim to simplify the task by providing intuitive interfaces and guided prompts, reducing the reliance on manual intervention. By leveraging technology, such as user-friendly interfaces and automated data validation, these systems help ensure the accuracy and efficiency of the challan filling process. As a result, illustrators can complete their transactions more independently and with greater confidence, minimizing the need for external assistance and reducing the likelihood of errors. Overall, the introduction of automated challan filling processes represents a significant advancement in improving accessibility and efficiency for all users involved. In the automated bank challan filling process, we utilize both a keypad and a voice playback module. The voice playback module is responsible for interpreting user instructions, while the keypad is configured with predefined values for deposit, withdrawal, and balance checking operations. Upon receiving voice commands, the keypad seamlessly communicates the corresponding information to the software, streamlining the process based on the instructions provided by the user.

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 Keywords

Challan, Analog, cheques , Deposite, withdraw.

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 Abstract

Technical study, which practices historical values to find indicators that highlight potential movements in stock prices, is especially relevant to the application of time series analysis and estimating to the stock market. This study investigates the use of the Relative Strength Index (RSI) and Bollinger Bands as technical indicators to produce buy and sell signals for stock trading. While RSI provides a gauge of a stock's overbought or oversold conditions, Bollinger Bands offer information about a stock's volatility and possible reversal points. The resolution of the study is to assess how well these indicators work together when making decisions about when to enter and exit the stock market. Bollinger Bands are computed using standard deviations from the moving average to determine possible breakout or breakdown levels. At the same time, RSI is used to estimate the momentum of the stock as well as possible trend reversal points. By combining the two indicators, a trading strategy is created that will produce buy signals when certain criteria are met. The study employs historical stock price data to evaluate the strategy's resilience and flexibility by applying it to a range of stocks and time periods. Performance metrics are used to assess the efficacy of the suggested strategy, such as accuracy, return on investment, and risk management. The potential of using RSI and Bollinger Bands as complimentary tools to improve trading decisions is demonstrated by the results. The results add to the corpus of knowledge on technical analysis and provide traders and investors with useful information for optimising their strategies in volatile markets.

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 Keywords

- Bollinger Bands, Relative Strength Index, Technical Analysis, Stock Trading, Buy-Sell Signals, Volatility, Momentum.

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 Abstract

Gelatin possesses five basic properties that make it suitable for the manufacture of capsules: It is nontoxic, widely used in foodstuffs, and is acceptable for use worldwide. It is readily soluble in biological fluids at body temperature. It is a good film forming material producing a strong flexible film. Gelatin is a substance of natural origin that does not occur as such in nature. Gelatin is a heterogeneous product derived by hydrolytic extraction of animal collagen, a natural protein, which occurs in the skin, bones and connective tissue of the animals. The prepared beetroot powder was filled in the purchased gelatine capsule. About 3g of beetroot powder was filled in the capsule using gloves in a closed and sterilized area. The weight of each the capsule was about 5g. It was then preserved in a polyethylene zip cover and sealed for further analysis. From the Table it is clear that phytoconstituents such as alkaloids, carbohydrates, flavonoids, tannins and terpenoids are actively present in the prepared capsule. The colour which is the measure of the concentration is measured calorimetrically. As a result the beetroot sample appeared red in colour and using the obtained calorimetric value the observed value of the sample was determined to be 6.28 mg of Iron.

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Gelatin, phytoconstituents, beet root capsule

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A common environmental problem brought on by the atmospheric deposition of acidic materials is acid rain. This abstract looks into the various aspects of acid rain, emphasizing its sources, consequences, and strategies used to lessen its harmful impacts. Anthropogenic emissions of sulfur dioxide and nitrogen oxides, primarily from the burning of fossil fuels and industrial processes, are the main causes of acid rain. Another factor contributing to this complex phenomenon is natural sources like volcanic eruptions. The effects of acid rain span various ecosystems, impacting aquatic life, soil quality, vegetation, and human health. Acidification of water bodies disrupts ecological balance, causing harm to aquatic organisms and posing a threat to biodiversity. Additionally, acid rain's ecological effects are made worse by the release of toxic metals into the environment. International coordination is vital, recognizing the cross-border transfer of contaminants. Enhancing energy efficiency and promoting alternative energy sources are two sustainable practices that support a holistic strategy to reduce precursors of acid rain. One naturally occurring remedy that helps restore acid rain-affected ecosystems is reforestation. It is crucial to conduct ongoing studies, raise awareness, and modify mitigation techniques in response to acid rain's changing characteristics. Understanding the sources, impacts, and measures of acid rain is essential for developing effective policies and practices that promote sustainable cohabitation with our planet as humanity tries to strike a balance between development and environmental preservation.

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 Keywords

Atmospheric pollutants, Environmental impact, Mitigation strategies, Soil acidification and Water Quality

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This study investigates the incorporation of balloon vine (Cardiospermum halicacabum) and ivy gourd (Coccinia grandis) foliage into breakfast recipes, emphasizing a holistic approach encompassing nutritional, sensory, and physiochemical analyses. Balloon vine and ivy gourd foliage, often overlooked as culinary ingredients, harbor a wealth of nutrients, bioactive compounds, and sensory attributes that could enhance the nutritional quality and sensory appeal of breakfast dishes. The methodology comprises several interconnected phases to comprehensively evaluate the potential of these botanicals in breakfast recipes. Initial stages involve the procurement of fresh balloon vine and ivy gourd foliage from reliable sources, ensuring the quality and authenticity of the botanical specimens. Subsequent nutritional analyses encompass proximate composition, micronutrient profiling, and determination of bioactive compounds such as antioxidants, phenolics, and flavonoids. These analyses shed light on the nutritional composition of balloon vine and ivy gourd foliage, providing insights into their potential health-promoting effects. The sensory aspect of the study focuses on evaluating the acceptability, flavor profiles, and overall sensory characteristics of breakfast recipes incorporating balloon vine and ivy gourd foliage. The Integration of balloon vine and ivy gourd foliage into breakfast recipes offers a promising avenue for enhancing the nutritional diversity and culinary innovation in breakfast menus. By leveraging the unique nutritional profiles and sensory attributes of these botanicals, breakfast dishes can be fortified with essential vitamins, minerals, antioxidants, and phytochemicals, contributing to overall health and wellness.

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 Keywords

Foliages, bioactive compounds, breakfast dishes

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This study investigates the recruitment and selection process at Surya Elevators, with a focus on evaluating the existing process, strategies employed, and employee satisfaction. Through a combination of data analysis and employee feedback, the research aims to identify areas for improvement and enhance the overall effectiveness of the recruitment and selection process. The study examines the existing recruitment and selection process followed by Surya Elevators, mapping out the various stages involved and assessing their efficiency and effectiveness. Secondly, it explores the strategies employed by the company to attract and select candidates, including sourcing methods, screening techniques, and interview processes. Finally, The findings of this study will provide valuable insights for Surya Elevators to optimize its recruitment and selection processes, leading to better hiring outcomes, improved employee satisfaction, and enhanced organizational performance.

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 Keywords

Recruitment, selection process, Surya Elevators, employee satisfaction, strategies.

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