Volume 11 | Issue 5 |

 Abstract

Amazon is one of the largest e-commerce companies in the world, offering a wide range of products and services through its online platform. Founded in 1994 by Jeff Bezos, Amazon has grown to become a global leader in retail, cloud computing, digital streaming, and artificial intelligence. The company's mission is to be Earth's most customer-centric company and to continually innovate and improve the customer experience. This study analyses the impact of the COVID-19 pandemic on Amazon's sales performance, using a comparative analysis of pre- and post-pandemic sales data. The COVID-19 pandemic has brought unprecedented challenges to the global economy, with many businesses struggling to survive amidst lockdowns and restrictions. However, e-commerce has emerged as a key sector that has seen increased demand due to the pandemic, as consumers shifted to online shopping for safety and convenience. Amazon, as one of the world's largest e-commerce companies, has seen a significant increase in sales during the pandemic, but also faced operational and logistical challenges due to the surge in demand. This study aims to examine Amazon's sales performance in the period before and after the COVID-19 outbreak, and to identify the factors that contributed to its sales growth or decline. The study will use a combination of quantitative and qualitative methods, including data analysis of Amazon's financial statements and sales reports, as well as interviews with Amazon executives and industry experts. The findings of the study will provide insights into the resilience and adaptability of e-commerce companies in the face of global crises, and the strategies that can be adopted to sustain sales growth and profitability in a rapidly changing environment.

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 Keywords

Amazon, e-commerce, Sales performance, Comparative analysis ,Operational challenges ,Sales report ,Global crisis

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 Abstract

Today, most criminal activities take place using handheld arms, particularly guns, pistols and revolvers. Crime and social offence can be reduced by monitoring such activities and identifying antisocial behavior so that law enforcement agencies can take appropriate action in an early stage. The solution to this problem is to deploy surveillance systems or control cameras with automatic handheld gun detection and alert systems. In the last few years, deep learning has established a landmark in the area of machine learning particularly in object detection, classification and image segmentation. Convolutional Neural Network (CNN) achieved the best results so far in classical image processing problems such as image segmentation, classification and detection in several applications. Some other problems that arise during gun detection are noises in gun image, deformation of gun and real time processing requirement. During the transportation and addition of images, noises can occur in that image. Various types of noises can be there like salt and pepper noise, Raleigh noise, Gaussian noise, etc. and these noises can be introduced during varied conditions of transportation and addition of noises. In this we present an automatic handheld gun detection system using deep learning, particularly YOLO. From the experiments we found that the most promising results are obtained by YOLO based model trained on our database. The model shows a high potential even in low quality images and provides satisfactory results.

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 Keywords

SIFT (Scale-Invariant Feature Transform) and RIFT (Rotation-Invariant Feature Transform), Image processing,YOLO Algorithm and Splitting Dataset into train and test data

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When multiple networks of bots emerged, the term "botnet" was coined. It is a collection of Internet-connected devices that run one or more bots. Botnets can be used to launch distributed denial-of-service attacks, send spam, and allow attackers to gain unauthorised access to network connections. The Owner (BotMaster) uses command and control software to manage the botnet. This paper discusses the accuracy of Botnet detection prediction using various models.

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 Keywords

Botnet, XGBoost, NaiveBayes, DDOS, Decision Tree, Random Forest, Network Traffic.

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 Abstract

India has nearly 1/6 of the world cattle population. Dairying serves to be a subsidiary occupation to the millions of the rural people. There is a growing demand for milk and milk products in urban areas. Rural people lacked a system of dairying based on commercial milk production, collection, transportation, processing and marketing of milk. Exploitation by Private traders taking advantage of such situation - Paying low price to the milk producer, indulging in adulteration of milk and charging high price from the urban consumer. In first Dairy cooperative society was registered in 1913 at Allahabad in Uttar Pradesh and was called "Katra Cooperative Dairy Society", Calcutta Cooperative Milk Union was registered in1919. The Madras Milk Supply Union was established in 1927. By the end of the 1930s, there were 19 milk supply unions covering 264 Primary societies. During the II-nd World War, the increased demand for milk and milk products from the army and acute shortage of milk in urban areas gave a new push to the organisation of many milk cooperative societies. However, most of the societies continued to be consumer oriented. The Kaira District Cooperative Milk Producers Union at Anand (Amul) was formed in 1946 and constituted and important landmark in the development of dairy cooperative movement as this was the first producer oriented dairy cooperative forms in India.

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 Keywords

Co-operative Marketing - Dairy Co-operatives - Evolution and Growth - Anand Patterns - Marketing of Milk and Milk Products and Administrative setup of Co-operative Dairying in Tamil Nadu.

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An electronic menu (e-Menu) and server robot system can potentially enhance the dining experience and improve the efficiency of a restaurant. The e-Menu which uses a LCD display with a 4X4 keypad provides customers with an interactive and visually appealing platform to browse and order dishes, including detailed information about ingredients and allergies. The server robot which uses line follower technique assists in taking orders and delivering food, allowing human staff to focus on other tasks such as cooking and customer service. The main aim is to automate and improve the ordering and billing processes in restaurants along with real time customer interaction and feedback.

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e-Menu, LCD display, 4X4 keypad, server robot, line follower.

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The massive consumption of fossil fuels and the difficulty of achieving energy and environmental sustainability, a serious search for new and cleaner energy has gained attention in recent years. The front line is moving towards the production of clean, ecologically friendly energy from locally accessible raw resources. In this research, pyrolysis-based conversion of the combined biomass (cow dung) has been studied. It has been modelled how temperature affects the yield and energy content of fuels for energy generation, including bio-oil, char, and biogas. The investigation's findings generally showed that the product output and energy recovery were not considerably impacted by the quantities of the various biomass. The outcome of energy recovery shows a significant influence on temperature, with greatest conversion for char, syngas, and bio-oil. After pyrolysis, a total energy conversion efficiency of was attained.

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Pyrolysis, Animal Manure, Cow-dung, Char.

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 Abstract

Ayurveda The earliest medical profession, known as "the science of life," has always placed more emphasis on prevention than on treatment. Ayurveda's "marma science" refers to the critical and vulnerable places on our bodies that are spread throughout the body i.e., head, neck, trunk, and extremities. As a result, understanding the anatomy of these body parts is crucial for both patients and doctors in order to protect patients' key organs and sensitive body parts during surgery or other medical interventions. Knowing your marma regions is important for protecting your crucial and delicate body parts from harm, but it's also important for doctors and surgeons to save these areas during surgery or other medical interventions. Vedic literature contains numerous references to enemy, soldiers inflicting injuries on the marma region and protecting one's marma by wearing guards. Muscles, veins, ligaments, tendons, bones, and their joints come together to form marmas. Any injury to these marma zones, which contain the tridosha, triguna, bhutatma, and chetana dhatu, may result in discomfort or even death. Other signs of marma injury include giddiness, syncope, delusion, semiconsciousness, numbness, etc. Classical Ayurvedic books created during Samhita kala provide a thorough explanation of marmaghata or viddha lakshanas (impact of damage). Modern world has given priority to sports. During the sport events, injuries are common, injuries to soft and hard tissues are the problem faced by sports persons as they have to go physical strain, stress and even death in the field.

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A REVIEW ON MARMA AND MARMAGHATA ACCORDANCE WITH AYURVEDIC CLASSICS W.S.R. TO SPORT INJURIES

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The project delved into the analysis of the Concrete-Filled Steel Tube (CFST) composite columns, which were subjected to a uni-axial eccentric compressive load. The column curves, strain, load-axial displacement curves, and Finite Element Analysis (FEA) are used for the evaluation .To provide a comprehensive comparison, two models of CFST columns with connecting plates were created, one is made by corrugated steel and the other using regular steel. In addition with an FRP plate was introduced to enable a thorough assessment. The ANSYS2021R2 program was utilized to produce the column connecting plates and its modeling. To compare the load-axial displacement curves got from the FEA models with those from the tests and evaluating the failure mechanisms. The results obtained from the FEA simulations of the double-plate linked Uni-axial eccentric compression performance of the CFST composite columns aligned remarkably with the test findings. Moreover, the study involved comparing various forms of double-plate linked CFST Columns with two mechanical characteristics to those of L-shape, T shape, Cross shape double plate connected CFST Column filled with concrete. The FEA results were also evaluated against the computed N-M correlation curves. By a rigorous assessment of the CFST composite columns, which involved a thorough evaluation of their load-axial displacement curves, strain, column curves, and FEA. By providing a detailed comparison of the double-plate linked CFST columns with different mechanical characteristics, this study provides a critical recommendations for engineering design.

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 Keywords

CFST column -L-shape, T-shape ,Cross- shape, FEA, ANSYS, ,Normal & Corrugated Steel Double Plate connectors

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 Abstract

A large no of drugs can be formulated as mouth dissolving films, for example antihistamines, antiasthamatic drugs, and cardiovascular drugs for erectile dysfunction. Fast dissolving drug delivery system was discovered in 1970s. and these films have been alternative for the capsule, syrup, tablet. These system can be easily applied on the dysphagia, pediatric patient, geriatric patient, and brdridden patient. Its self-administration no water is required or chewing, patient compliance is increase. These films have greater advantages it passes the first pass effect and due to its directly reaches the concentration and produce good therapeutic effect. In this review it characterized by their selection of polymer for formulation, and the preparation methods for the oral films, and the last evaluation parameter.

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 Keywords

fast dissolving oral films, disintegration, geriatric, pediatric.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Recent years have seen scientific and technological advances in the creation of innovative medication delivery devices by getting past physiologic issues such short stomach resident time and irregular stomach emptying interval. The process of controlling and extending the time until a dose form is completely absorbed by the stomach is known as gastric emptying. For dosage forms that stay in the stomach for longer than typical dosage forms, gastro movement time is a valuable asset. Floating drug delivery systems, swelling and expanding systems, polymeric bio-adhesive systems, modified-shape systems, high-density systems, and other delayed gastric emptying devices are some of the current methods used to prolong the stomach residence durations. The goal of this review on floating drug delivery systems (FDDS) was to gather the most recent research, paying particular attention to the main mechanism of flotation to achieve stomach retention. This review provides a brief explanation of the several types of floating systems, their benefits and drawbacks, their mechanisms, the factors that affect them, the medication candidates that work best for floating, the evaluation criteria, and the applications of the systems.

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 Keywords

Keywords: Stomach-resident time, Dosage form, gastric emptying, floating drug delivery system.

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