Volume 11 | Issue 5 |

 Abstract

White-collar crime has become a significant concern globally, impacting businesses, investors, and consumers alike. This comprehensive article delves into the various aspects of white-collar crime, including its definition, types, psychological factors, and notable cases from around the world, with a special focus on the UK, USA, Canada, and India. The article examines the economic and non-economic costs associated with white-collar crime and discusses the roles of regulatory agencies and legal frameworks in detecting and preventing these offences. It also highlights the importance of corporate governance, ethical leadership, and transparency in creating an environment where white-collar crime is less likely to thrive. Furthermore, the article compares white-collar crime in the UK, USA, Canada, and India, exploring the similarities and differences in their legal frameworks, enforcement strategies, and corporate governance practices. It also identifies unique challenges faced by each country in combating white-collar crime and opportunities for cross-border collaboration and learning. Finally, the article offers a range of suggestions for individuals, businesses, and policymakers to effectively address white-collar crime, including strengthening regulatory frameworks, enhancing inter-agency cooperation, promoting ethics and compliance training, empowering whistleblowers, and leveraging technology. By providing a comprehensive and global perspective on white-collar crime, this article aims to raise awareness of the risks and consequences associated with these offences and encourage a proactive approach to detection, prevention, and prosecution.

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 Keywords

White Collar Crime, White Collar Crime in India, Law for White Collar Crime

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 Abstract

Internet of things (IoT) is the network of entities that consists of electronics, programmable software, sensors, and communication facility that enables these entities to gather and transfer data. The objective of the proposed system is to alert the remote user while the fire accidents occur. This system can be installed at any remote premise which has threat of fire accidents. Using this system we can detect the fire by camera. So sensors are not required to detect fire. The Raspberry Pi controller processes the camera input and detects fire using heat signatures. By using image processing method, the report is automatically generated and sends to the person immediately after the fire is detected in any part of the frame using Wi-Fi/GSM. On detecting fire, the system will go into emergency mode. The major advantages in this method are: sending the information to the person at any time, any place and remote monitoring for immediate actions.

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 Keywords

- Image processing, Internet of Things, Heat signatures, Sensors

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Acanthocephalans are a family of endoparasitic helminth that parasitize fish worldwide. As an adult they use their thorny proboscis to clamp on to the host's gut tissues. Fish, which is a good source of high-quality animal protein for humans, loses some of its nutritional value as a result of the presence of these worms. 216 intestines of Catla catla fish were procured from the Godavari River in the Gangapur dam region and examined for infection on a monthly basis from April 2018 to March 2019. Most parasites recovered from fish were identified as being Acanthogyrus spp., along with very few nematodes and cestodes parasites. As per the purpose of the present study, the rate of infection of Acanthogyrus spp. in Catla catla was highest in the summer season, low during the monsoon, and the same during the winter season as the overall prevalence.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Catla catla, Parasite, Acanthogyrus, Prevalence.

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Creative Commons Attribution 4.0 and The Open Definition

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Road signs are important to ensure smooth traffic flow without bottle necks or mishaps. Road symbols are the pictorial representations having different necessary information required to be understood by driver. Road signs in front of the vehicle are ignored by the drivers and this can lead to catastrophic accidents. This paper presents an overview of the traffic sign board detection and recognition and implements a procedure to extract the road sign from a natural complex image, processes it and alerts the driver using voice command It is implemented in such a way that it acts as a boon to drivers to make easy decisions

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 Keywords

Traffic Sign Detection and Recognition Using Deep Learning, Traffic Sign Detection, Traffic Sign, Deep Learning

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Creative Commons Attribution 4.0 and The Open Definition

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The hospitality sector is quite diverse and includes a wide range of categories and industries, including the hotel business, aviation, food and beverage, travel, and tourism, to mention a few. There is a greater requirement from management and industry professionals to understand how guests choose hotels to stay in and what are the dominant decision-making criteria as a result of the hospitality industry's and the hotel sector's strong expansion in recent years. In addition, this study's objective is to thoroughly examine and examine the literature on the aspects that social media marketing influences. In addition, despite years of research, it appears that we still know very little about how guests choose their hotel accommodations and the key hotel characteristics because this topic may be subjective and challenging to analyze. This is also influenced by the fact that the majority of earlier studies concentrated on choice attributes rather than the actual decision-making process; consequently, this paper will attempt to investigate a wide range of literature in order to establish best research practices and make suggestions for future studies. This essay also looks at literature on hotel-related topics and client decision-making, both of which are crucial in the rapidly expanding hospitality sector.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Hospitality, Social media marketing, Tourism industry

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Ebola virus is transmitted to people as a result of direct contact with body fluids containing virus of an infected case. The incubation period generally lasts 5 to 7 d and roughly 95 of the cases appear signs within 21 d after exposure. Typical features include fever, profound weakness, diarrhea, abdominal pain, cramping, nausea and puking for 3- 5 days and perhaps persisting for over to a week. Laboratory complications including elevated aminotransferase situations, pronounced lymphocytopenia, and thrombocytopenia may have passed. Hemorrhagic fever occurs in lower than half of cases and it takes place most generally in the gastrointestinaltract.Ebola contagion complaint( EVD) is a life- hanging viral complaint with a casualty rate ranging from around 30 to 90. The first EVD outbreak was reported in the 1970s in Zaire( now the Democratic Republic of the Congo). Until 2013, utmost outbreaks passed in the Central Africa region, including Zaire, Sudan and Uganda. still, between March and October 2014, over 10000 cases of EVD have been recorded in West Africa, similar as in Guinea, Liberia, Sierra Leone, and Nigeria, and a many sanitarium or secondary infections of EVD have passed in Spain and the United States of America. EVD is presently one of the world's most stressed conditions. In this literature review, we describe the epidemiology, clinical features, opinion, and treatment of EVD.

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Keywords: Ebola virus, Outbreak, Treatment, Hemorrhagic fever.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

We currently have a variety of white board softwares available for online instruction. Every piece of software has benefits and drawbacks. The fact that many typical whiteboard software programmes require hardware pointing devices or a touch-sensitive screen for interaction, such as a stylus, digital pens, mice, etc., is one of their key drawbacks. Therefore, we are introducing Virtual Teaching Board, which is a hand movement based writing in the air software, to avoid the use of such pointing devices and to make online learning more interesting and effective. Instead than using external hardware devices like a mouse, stylus, digital pens, etc. to write on the whiteboard, it uses a variety of hand movements with the fingertips in the air. It offers users a lighthearted setting. The Virtual Board Module, Presentation Module, and Calculation Module are the three modules that make up this project. In the Virtual Board module, we give the user interface functionalities for selecting the type of board (Normal or Blackboard), choosing the colour of writing, using an eraser, switching between presentation and calculator modes, and more. Users can write on the screen using different colours by simply waving their fingertip in the air in the Virtual Board Module's writing mode and board type, and they can entirely erase the board by waving five fingers across it. And by choosing Presentation mode, the user enters the Presentation module, where they can give a presentation by advancing and reversing slides with simple hand motions. In this project, we employed the Open-cv, Mediapipe, NumPy, and Python programming languages. By including certain other features like Physical properties and Physical Stimulations to the objects created on the virtual board in Stage-2, this programme can be upgraded even further.

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 Keywords

Virtual Teaching Board , Presentation Mode , Calculator Mode ,Hand Gesture Recognition , Black Board

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Creative Commons Attribution 4.0 and The Open Definition

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ABSTRACT BACKGROUND OF THE WORK: This paper represents the records of the quantitative data regarding the wetland medicinal plants used by the local Meitei community of Bishnupur district. Quantitative indices such as use value (UV), Informant consensus factor (FIC), and fidelity level (FL) were used to understand the preferences and consensus existing among the informants regarding the wetland medicinal plants used. MATERIALS AND METHODS: A total of 230 informants (135 males, 85 females) and 10 key informants who have traditional medicinal knowledge of the plants were selected for data analysis. Data collection and data analysis were done through frequent survey programs based on open-ended and semi-structured questionnaires. RESULTS: The study reveals that overall, 18 ailments categories were being treated with a total of 56 wetland medicinal plant species belonging to 50 genera that are distributed over 28 families. It was found that the Asteraceae family was the most dominant among all other families followed by Poaceae and Amaranthaceae. The informant consensus factor (Fic) for skeleton muscular system disorder (SMSD) was found to be the highest among all the ailment categories with a value of 0.86 followed by endocrinal disorder (ED) with a value of 0.82 and respiratory system disorder (RSD) with a value of 0.81. The Highest fidelity level was found in Helichrysum luteoalbum (L.) Rchb. with a value of 89 % which was included in the skeleton muscular disorder ailment category. Maximum FL determines high preference and potential of healing among the informant for treating a particular ailment. CONCLUSION: The wetland medicinal plants with the highest fidelity level (FL), use value (UV), and high informant consensus factor (FIC) from the present study indicate the possibilities of occurrence of the high rate of potential phytochemical compounds to carry out pharmacological and biochemical assay which could be led to the discovery of new drugs for the future.

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 Keywords

Wetland, Ethnobotanical, Quantitative, Informant consensus factor, Ailments

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Creative Commons Attribution 4.0 and The Open Definition

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This is a financial analysis of Tata Motors, a leading automobile manufacturer in India, providing a comprehensive framework for evaluating the company's performance and financial health. With operations in South Korea, the United Kingdom, Thailand, Indonesia, and South Africa through a strong global network of 113 subsidiary and associate firms, Tata Motors, a $35 billion company and a subsidiary of the USD 113 billion Tata group, is a global leader in automotive manufacturing. The analysis includes a review of the company's income statement, balance sheet, and cash flow statement, as well as key financial ratios such as revenue growth, gross profit margin, operating profit margin, current ratio, debt-to-equity ratio, and return on equity. This overview highlights the importance of considering both quantitative and qualitative factors, such as industry trends and competition, when evaluating a company's financial performance. While specific financial data for Tata Motors is not provided, this analysis serves as a general guide for conducting a thorough financial analysis of a company. The findings of this report can be used to make informed investment decisions or to evaluate the financial health of Tata Motors as a potential business partner.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Financial analysis; Income statement; Balance sheet; Financial ratios; Revenue growth; Current ratio; Return on equity; Industry trends.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Although shadow banks may be traced back to the 1970s, they have grown significantly in recent decades in emerging nations. Similar expansion in shadow banks has also been observed in India. The term shadow banking firstly coined by the Paul Mc. Culley in 2007. Shadow banking is occurred and exists in all economies. Shadow banking are worked as a financial intermediation which include all activities performed outside the regular banking system.The last two to three decades, the financial sector has witnessed a lot of changes and growing competition.Many shadow banking companies are the subsidiary company whose parent company is traditional bank. In the financial crises of 2008, shadow banks play important role in housing credit and their size is increased. This Paper's objectives are to investigate the Role and Challenges of shadow banking in India.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Shadow banking, financial sector, Non-banking financial companies, and financial crises.

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Creative Commons Attribution 4.0 and The Open Definition