Volume 11 | Issue 5

 Abstract

Paper is on shift from instore shopping to online shopping over the years

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Online shopping.physical shopping,transition

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The idea that natural medicines are safer and have fewer negative effects than synthetic ones makes them more acceptable. The demand for herbal formulations is rising on the global market. This project's goal is to create and assess a polyherbal face pack that uses herbal substances as cosmetic ingredients. The goal of this effort is to create and assess a polyherbal face pack using herbal constituents for cosmetic use. The following ingredients were purchased from the neighbourhood market: lemon grass, Multani mitti, Sandalwood powder, Turmeric powder, and Rose powder. They were then dried, powdered, passed through sieve number 80, mixed geometrically, and evaluated for their organoleptic and physico-chemical, general powder, microscopical characteristics, and chemical evaluation. This project aims to create and assess a cosmetic herbal face pack for healthy-looking skin utilising natural components. Four distinct formulations incorporating components like Lemon grass, Multani mitti, Sandalwood powder, Turmeric powder, and Rose powder. were created with differing quantities. The creation and assessment of a herbal anti-acne face pack are the topics of the current study.

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Cosmetic, Face Pack, Natura, Formulation, Evaluation.

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 Abstract

आज का समय विकास एवं निर्माण का समय है जो देश या समाज इसमें शामिल हो गया वह प्रगति के पथ पर अग्रसर हो जाता है और जो देश इस दौड़ में पीछे रह जाते हैं उन्हें कुछ खास महत्व प्रदान नहीं किया जाता है। इसी प्रगतिशील समय में मनुष्य अपना वजूद भी खोता जा रहा है, वह खुद को मशीन समझने लगा है जिसे मानो किसी खास मकसद से किसी वैज्ञानिक ने तैयार किया हो, किंतु सच्चाई केवल यही नहीं है, मनुष्य और मशीन में बहुत बड़ा अंतर संवेगों और विवेक का माना जाता है। मशीनों में संवेगों की कोई भूमिका नहीं होती है, लेकिन मनुष्य के जीवन के लिए संवेग अति महत्वपूर्ण हैं। संवेगों के सही दिशा में कार्य करने हेतु मनुष्य में धैर्य एवं शांत चित्त की मुख्य भूमिका मानी जाती है। यदि किसी मनुष्य का चित्त शांत नहीं है तो उसे हानि प्रदान करने वाले संवेगों का सामना करना पड़ सकता है। आज के विद्यार्थियों में क्रोध,ईर्ष्या,भेदभाव आदि बुराइयां घर करती जा रही हैं, इन बुराइयों से छुटकारा पाने के लिए विद्यार्थियों को आंतरिक शांति शिक्षा की अति आवश्यकता है। इस लेख में हम वर्तमान समय के विद्यार्थियों में व्यक्तिगत आंतरिक शांति शिक्षा की आवश्यकता पर चर्चा करने जा रहे हैं।

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विद्यार्थी, व्यक्तिगत आंतरिक शांति शिक्षा।

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The Unified Payment Interface (UPI) has revolutionized the way people make digital payments in India. UPI was launched by the National Payments Corporation of India (NPCI) in 2016 and has since become the most widely used digital payment system in India. This article provides an overview of the history of UPI, including its origins, development, and growth. The article also discusses the key features and benefits of UPI, as well as some of the challenges and concerns associated with the system. Finally, the article concludes with a discussion of the future prospects of UPI.

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UPI, digital payments, NPCI, India, mobile payments, banking

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The Internet of Things (IoT) is a group of millions of devices having sensors and actuators linked over wired or wireless channel for data transmission. IoT has grown rapidly over the past decade with more than 25 billion devices are expected to be connected by 2020. The volume of data released from these devices will increase many-fold in the years to come. In addition to an increased volume, the IoT devices produce a large amount of data with a number of different modalities having varying data quality defined by its speed in terms of time and position dependency. In such an environment, machine learning algorithms can play a significant role in ensuring security and authorization based on biotechnology, anomalous detection to improve the usability and security of IoT systems. On the other hand, attackers often view learning algorithms to exploit the vulnerabilities in smart IoT-based systems. Motivated from these, in this paper, we propose the security of the IoT devices by detecting spam using machine learning. To achieve this objective, Spam Detection in IoT using Machine Learning framework is proposed. In this framework, five machine learning models are evaluated usingvarious metrics with an enormous collection of inputfeatures sets. Each model computes a spam score by considering the refined input features. This score depicts the trustworthiness of IoT devices under various parameters. REFIT Smart Home dataset is used for the validation of proposed technique. The results obtained proves the effectiveness of the proposed scheme in comparison to the other existing schemes.

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machine learning,Iot devices,spam detection,ml models

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Obesity is a heritable condition that develops through the interactions of numerous genes and lifestyle factors, and its prevalence is steadily rising worldwide, leading to major health issues. A major challenge of the twenty-first century is the epidemic of childhood overweight and obesity, which has elevated to the status of a global public health emergency. Obesity in children and adolescents is a serious public health issue today, affecting both developed and developing nations. In 2016, there were more than 340 million overweight or obese children and teenagers worldwide, ages 5 to 19. Because adult obesity, early mortality, and disability, as well as early indicators of cardiovascular disease, can all be linked to childhood obesity, it is a serious burden. In Europe, childhood obesity is still a serious health issue that varies significantly between and within nations and populations. In Europe, there were more than 398,000 severely obese children aged 6 to 9 in 2019. In 2018, one in five youngsters in Southern European nations like Greece, Italy, Malta, San Marino, and Spain were obese. throughout recent years, a variety of programmes and initiatives have been introduced throughout Europe to combat childhood obesity. However, regionally, the fight against childhood obesity has advanced slowly and unevenly. The incidence of paediatric obesity and current initiatives to combat it in the European Region of the World Health Organisation (WHO) have been covered in this chapter.

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Obesity, overweight, childhood, adolescent, prevention.

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 Abstract

Alternate low-cost construction Techniques

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Alternate low-cost construction Techniques

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Data hiding technology advances with the algorithms that are fast, secure and provide more capacity. In order to provide better security an improved VSEMD is proposed in this paper. The contribution of this method is without complicating embedding steps secret data can be embedded and extracted. Embedding bits by replacing pixel's least-significant bit (LSB) is simple but security is improved by modifying only selective pixels directive. We provided an approach that exploits pixels in a particular area of the image thus adding security to the encryption method.

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Data hiding, Cover image, Stego image, EMD, Steganography

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 Abstract

LAGHU UDYAM KE ANTARGAT KAGAJ ADHARIT UTPAD KA ADHYYAN (Jila Rajnandgaon Ke Sandarbh Mein)

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LAGHU UDYAM KE ANTARGAT KAGAJ ADHARIT UTPAD KA ADHYYAN (Jila Rajnandgaon Ke Sandarbh Mein)

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The current problem of our time is over-dependence on machines and technology. The result is alienation and a sense of segregation from the objective condition of life. The theatre which is a potent medium to mirror the happenings and the ever-changing scenarios of human life is also not free from the exorbitant impact of modern technology. Technology intruded on a theatrical production. Since the Industrial Revolution, the stage is overburdened with heavy stage paraphernalia, lighting, and technology to make theatre more realistic and naturalistic. But in the process theatre is alienated from the most important thing which is the human element. Theater is a human act and for theatre production, the most essential element is the human body. Badal Sircar through Third Theatre sought to counter the dehumanization of theatre and employ the human body as a potent medium of generating meaning. The present paper seeks to explore how Badal Sircar in his Third Theatre used the human body to negotiate such mechanization of theatre and how he cut down the distance between the actor and the audience to make theatrical communication direct and more effective.

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: Body, Body Movement, Third Theatre, Dehumanization, Avant-garde, Communism

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This paper gives idea about how build in live tracking animation is helpful to increase working efficiency of user in 3D animation sector. When working with 3D software it is hard to give motion to character. It takes a lot time to animate character. To overcome this problem our concept is about developing live tracing motion using web cam in 3D software so it will help animators to work systematically and efficiently.

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3D software, Maya, Live tracking animation, Motion capture

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Nowadays computer vision has reached its pinnacle, where a computer can identify its owner using a simple program of image processing. In this stage of development, people are using this vision in many aspects of day to day life, like Face Recognition, Color detection, Automatic car, etc. o In this project, computer vision is used in creating an Optical mouse and keyboard using hand gestures and Eyes Tracker. The camera of the computer will read the image of different gestures performed by a person's hand and according to the movement of the gestures and Eyes the Mouse or the cursor of the computer will move, even perform right and left clicks using different gestures. Similarly, the keyboard functions may be used with some different gestures, like using Two finger gesture for alphabet select. It will act as a virtual mouse and keyboard with no wire or external devices. The only hardware aspect of the project is a web-cam and the coding is done on python using Anaconda platform.

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Gesture Recognition Based Virtual Mouse and Keyboard "

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India is a country which embraces diversity in many forms. The LGBTQ+ Community has now started receiving the love & respect that they deserve, through innumerable protests & challenges. This research aimed at examining the level of social connectedness & adjustment in the LGBTQ+ youth. The study used an online survey method for data collection. Social Connectedness Scale developed by Lee & Robbins (1995) and Modified Social Adjustment Scale (Weissman, 1999) helped gain further insights into similar perceptions of the sample. Purposive and Snowballing sampling techniques were used with the sample size of 100. They were all college-going young adults and middle-aged adults. The study helped in understanding how socially connected & well-adjusted is the queer community, with the help of relevant statistical techniques, i.e., Product Moment Correlation & Linear Regression Analysis.

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: Community, Social Connectedness, Social Adjustment, Queer, Social Attitudes, Social Support.

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Cardiovascular diseases are one of the leading causes of death worldwide, killing 17.9 million people annually. Coronary heart disease, cerebrovascular disease, rheumatic heart disease and other diseases are one of the categories of cardiovascular diseases known as cardiovascular diseases. More than four out of five deaths from myocardial infarction are related to heart attack and stroke, with one-third occurring before the age of 70. Unhealthy diet, lack of exercise, use of tobacco products and alcohol consumption are the main behavioral risk factors for the heart. Disease and stroke People may experience high blood pressure, high blood sugar levels, high blood lipids, and even overweight or obesity as a result of behavioral risk factors. Approximately 90 percent of cardiovascular disease is preventable if predicted in advance, providing clinicians with important insights that allow them to tailor diagnosis and treatment on a patient-by-patient basis. Machine learning techniques are one of the most successful techniques for forecasting. Various studies have only mentioned the use of ML systems to predict heart disease. One of the biggest challenges today is predicting disease and its causes. This study presents a new method for identifying large datasets using deep learning algorithms to improve the accuracy of cardiovascular disease prediction. This model used artificial neural networks and feature selection to predict cardiovascular diseases. ANN is an ML technique that can be used to produce useful predictive results and feature selection to select the most appropriate features from a dataset.

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Artificial Neural Network(ANN), Feature Selection, Deep Learning, Cardiovascular disease (CVD) prediction.

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Most global estimates indicate that more than 1 million children a year die from acute measles. The actual number of deaths may, however, be considerably higher than this. In addition, the impact of delayed morality as a result of meusles infection is only now being realized .Many months after they contract measles, children continue to experience higher levels of mortality & morbidity than those who do not. Immunization of children against measles therefore prevent mortality & mortality not only during the acute phase but also during subsequent months. The impact of measles immunization programmers may therefore have generally been underestimated. The increase in measles incidence is caused by the ongoing reduction of vaccination coverage. This event has triggered public &scientific interest .For this reason , we reviewed the pathophysiology of measles infection ,focusing on mechanisms by which the virus spreads systemically through a "Trojan horse "stratergy ,measles induces an immunosuppression status .An overview of microbiology, symptoms ,diagonsis, prevention & treatment completes &enriches the review.

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measles,immunity,viral-host,interaction ,Lymphocytes.

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Recently, the high demand for marble stones has progressed in the construction industry, ultimately resulting in waste marble powder. Thus, environmental degradation is unavoidable because of waste generated from quarry drilling, cutting, and blasting methods. Marble waste is produced in an enormous amount in the form of odd blocks and unwanted rock fragments. Absence of a systematic way to dispose of these marble waste massive mounds results in environmental pollution and landfills. To reduce this risk, an effort has been made for the incorporation of waste marble powder into concrete for sustainable construction. In this research work, an attempt has been made to understand the behavior of concrete with partial replacement of cement with added percentage values of marble powder and attain required strength. Partial replacement of marble powder in cement accordingly in the range of 0%, 5%, 10%, 15%, 20%, 25%, by weight for M30 grade of concrete. It analyzed the research work the compressive strength, flexural strength, split tensile strength values at 7 ,28 day.

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Marble Powder, Compressive strength, Split Tensile Strength, Flexural Strength

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Attention is a very important part in any games and sports. It deals with focus in any situation and time. This research can be used by any physical educationist for selection of any sports and the position an athlete can play.This research can be studies in current cognitive psychology and neuroscience. Today sports are the more crucial technical proficiency and game plan. Psychological training focuses heavily on teaching students how to pay attention. Tennis player will perform better if they can focus on important information while ignoring unimportant stimuli. In competition, an athlete arousal level frequently rises. These elevated arousal levels can distract an athlete and hurt their athletic performance if they not managed. Mainly there are four types of attention an athlete focuses forthe enhancementof your performance.

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Attention, Brain, Cognition, Mind, Sensation

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There are a lot of import and export transactions taking place these days. Due to the growth of commerce and the widespread use of sea shipping, which is the least expensive method, there have been several instances of oil spills in the ocean. Large-scale oil spill incidents have occurred throughout the world and have had a significant impact on both industry and ecosystems. Many sea mammals and birds perished as a result of these oil spills. After an oil spill, a slick (a thick layer of oil) is left behind, ensuring that sunshine and oxygen can reach the sea. Because of the absence of oxygen and sunlight, it has an impact on life below the ocean. Because some oils are hazardous and poisonous, coming into physical contact with them can be quite harmful for people as well. There are different types of oil skimmers in use as a response to these oil spills. Belt, pipe, rope, and drum types are a few examples. These are all employed in the cleanup of spilled oil. In order to understand how oil skimmers function most efficiently, Nemours conducted a thorough literature review study in the subject of oil spill recovery. This study is entirely based on the methods used to clean up spilt oil.

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Oil Skimmer, Polar Pipe, Skimmer belt, Water Pollution, Oil Recovery.

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Automation can be done independently by machines, but it can be enhanced with monitoring and controlling features with the help of IoT. As the world becomes increasingly interconnected, the Internet of Things (IoT) creates an extensive network of devices that regularly exchange data. While this interconnection is happening in businesses and throughout organizations on a global level, it's also happening in individual homes. Smart home devices and gadgets are becoming more popular with consumers who enjoy having all their devices interconnected to serve the purpose of increased convince, comfort, energy efficiency and most importantly personalization which is one of the focus points on this project, with the help of automation of electronics and IoT the experience becomes much more personalized for the user. We propose a pet feeder system which is used to remotely and timely provide pets with food. Along with their intake monitoring system. Most of the system will be automated and the pet eating habits can be monitored remotely. The system in final stages will consist of a food dispensing system with a mobile app and a web dashboard. Water dispensing can also be implemented based on product space and pet consumption habits.

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Automation, IOT, Interconnection, Dashboard, Instrument panel

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Autism spectrum disorder (ASD) is a neurodevelopmental disorder that affects social interaction, communication, and behavior. Eye tracking technology has been widely used in autism research because individuals with ASD often exhibit distinctive patterns of eye movements. Deep learning models like ResNet50 and VGG16 are powerful convolutional neural networks that can extract meaningful features from images. These models have been successful in various computer vision tasks, including object recognition. The combination of eye tracking and deep learning techniques can potentially provide valuable insights into early autism detection. By analyzing eye movement patterns captured by eye tracking devices, and leveraging the capabilities of deep learning models like ResNet50 and VGG16, researchers can develop algorithms to detect specific patterns or abnormalities that are indicative of autism in children. These algorithms can learn from large datasets of eye tracking data collected from both typically developing children and those diagnosed with autism. By training the deep learning models on these datasets, they can learn to recognize patterns that are characteristic of ASD and distinguish them from typical eye movement patterns. The ultimate goal of such research is to create a reliable and accurate tool for early autism detection, which could aid in early intervention and improve outcomes for children with ASD. The results of our experiments demonstrate outstanding performance with accuracy scores of 97%, and 98.7% for the ResNet50, and VGG16 models respectively.

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Autism spectrum disorder (ASD), Eye tracking, Deep learning, Convolutional neural networks (CNNs), ResNet50, VGG16

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