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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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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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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Catla catla, Parasite, Acanthogyrus, Prevalence.

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

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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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Hospitality, Social media marketing, Tourism industry

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

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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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Wetland, Ethnobotanical, Quantitative, Informant consensus factor, Ailments

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

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

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Globally, social media platforms have billions--not millions--of users. People's interactions on these widely accessible social media platforms, like Twitter, have a significant impact. There are undesired negative effects on modern life. One of the most extravagant social media platforms in our time, Twitter, is now used as a weapon to share unethical, excessive amounts of opinions and media. These widely used major communication platforms have evolved into a great source of disseminating unwanted data and irrelevant information. The suggested effort divides the nine sorts of insulting remarks and tweets directed at specific individuals. These types of tweets are further divided into non-shaming tweets towards persons. According to observation, the majority of people who write comments on a certain occasion and are interested in doing so are likely to change the person in question. Additionally, it is the Twitter shamer who checks the increase faster than the non-shaming devotee.

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Tweet Classification, user behaviour, remove dishonouring, public dishonouring.

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Inclusion is the hallmark of the 21st Century. Inclusive education explores evidence-based strategies to support diverse learners, including specific changes in curriculum, pedagogy and assessment practices. It addresses the needs of children with physical, sensory and intellectual disabilities, as well as those with complex learning problems. The chief purport of the current article is to delineate level of the awareness of teachers using various strategies for children under inclusion with special reference to gender, qualifications and management. A sample of 199 Regular Teachers as well as Resource Teachers were selected under Inclusive settings in Rangareddy and Hyderabad districts of the State of Telangana, employing simple random sampling technique. A self-developed tool which consists of 15 statements reflecting on peer-tutoring; Self-instruction; co-teaching and Direct instruction strategies was used to elicit the required information. No significant difference was found between awareness of teachers in using various strategies with special reference to their gender and management, while, a significant difference was indicated with reference to qualifications. Educational implications were drawn based on the findings and recommendations for further research was also depicted.

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Index Terms - Awareness; Inclusive education; peer-tutoring; co-teaching; self-instruction; direct teaching

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Lung cancer is a serious disease that can be life-threatening if not diagnosed and treated in time. Early detection is crucial for improving patient survival rates. To achieve this, researchers are using advanced technologies such as image processing and machine learning to analyze medical images for the early detection and treatment of lung cancer. In this study, the researchers propose an automated approach that uses computed tomography (CT) images to identify lung cancer in its early stages. The main objective is to achieve high accuracy in lung cancer diagnosis. The proposed framework involves several steps, including image enhancement, filtering, segmentation, feature extraction, and support vector machine. The experiment results show the accuracy performance of the proposed method, indicating its potential to improve lung cancer diagnosis and treatment.

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Lung Cancer, CT scan, Machine Learning, Convolution Neural Network, Image processing.

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: In the modern world, welfare, and security are important considerations. Whether at home or at business, people hire security systems to secure their belongings. In a typical surveillance setup, anything that occurs is recorded while people just wait for something to happen. The recommended system is a Python GUI application developed with the most recent programming language and the quickly growing discipline of computer science known as "computer vision," which translates to "this allows the computer to observe" or "gives the computer the capacity to see." In our study, we are largely emphasizing the components of smart surveillance that are monitored--at least for the time being. The goal of gaining a deeper knowledge of computer vision systems is currently outside the scope of the high-tech expansion of computer vision. video recording, features, facial recognition, noise detection, in-room visitor detection, and noise reduction.

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Computer Vision, Object Detection, Real-Time Alerts, Face Identification.

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In this thesis I will talk about the Nuclear diplomacy and the atomic bomb development during the world war II

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Atomic bomb and nuclear Diplomacy

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Here I will discuss the history of USA since it's independence and it's journey ever since.

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Boston Tea Party, American Civil War, US in World Wars

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The second most frequent cancer and the most common cause of cancer mortality is breast cancer. In 2002, it accounted for more than 1 million new cases and was the most prevalent cancer globally. Breast cancer is a complicated condition, and treatment guidelines are always evolving. Regarding the prognosis' impact on therapy and survival as a whole, there is a great deal of worry and concern. Breast cancer is a complicated condition, and treatment guidelines are always evolving.. This review cover the , treatments, and diagnostics. screening, which over the past few years has progressively decreased the death rate from breast cancer. This article's objective is to emphasize the prevalence, stages, therapies, and diagnosis , preventative measures, survivorship, and treatments include surgery, hormonal therapy, and chemotherapy

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Epidemiology of breast cancer , imaging techniques for screening breast cancer, types of breast cancer, treatments, diagnosis.

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Utmost of the smart phone druggies prefer to read the news via social media over internet. The news websites are publishing the news and give the source of authentication. The question is how to authenticate the news and papers which are circulated among social media like WhatsApp groups, Facebook runners, Twitter and other micro blogs & social networking spots. It's dangerous for the society to believe on the rumours and pretend to be a news. The need of an hour is to stop the rumours especially in the developing countries like India, and concentrate on the correct, authenticated newspapers. This paper demonstrates a model and the methodology for fake news discovery. With the help of Machine literacy and natural language processing, it's tried to total the news and latterly determine whether the news is real or fake using Support Vector Machine. The results of the proposed model are compared with being models. The proposed model is working well and defining the correctness of results up to93.6 of delicacy.

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Artificial Intelligence, Fuzzy Logic, Fuzzy Inference, Machine Learning, Naive Based Classifier, News, Prediction, Recommendation, Support Vector Machine (SVM)

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According to Ayurveda, the body is made up of seven different types of tissues known as Sapta Dhatu. These seven tissues collaborate with one another to ensure that the human body functions perfectly physiologically. One of the seven Dhatus mentioned in Ayurveda is Asthi. We are attempting to compile information about Asthi Dhatu defined in unique texts in this article, covering everything from its formation to nutrition, number, nature, distribution, character, significance, and effects on the body when it deviates from its typical persona or wide variety, such as Asthi Kshaya and Asthi Vriddhi. Asthidhara Kala and Asthivaha Srotas are two other aspects of Asthi Dhatu that are also discussed. Asthi gives strength and stability, maintains posture, supports Majja Dhatu, and imparts compactness to the body in addition to shielding internal organs from external shock. Asthidhara Kala and Asthivaha Srotas, Asthi Marma, Asthi Sara, Asthi Pradoshaja Vikara are some other aspects of Asthi Dhatu that are also discussed. In the modern day, bones are the hard connective tissues that make up the majority of vertebrates' skeletons and are made of a collagen-rich natural matrix loaded with calcium, phosphate, and other minerals. Bones protect the body's organs, create red and white blood cells, store minerals, provide structure, help the body function, and provide mobility.

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Asthi Dhatu, Asthivaha Srotas, Dhatu, Bones.

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Dengue infection ranks highly among new and newly emerging arthropod borne viral diseases affecting humans. It affects a large proportion of the population mainly in tropical and subtropical countries causing high morbidity and mortality due to rising incidence of DHF. The rapidly expanding global footprint of dengue is a public health challenge with a high economic burden. Appropriate management of the burden of dengue is hindered by several issues including lack of understanding of the exact pathophysiology of the disease failure to control the vector population effectively lack of specific treatment for the disease and technical obstacles in developing a vaccine. This review provide an overview on the epidemiology natural history and management strategies of adult dengue patients.

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types of dengue ,epidemiology,structure , transmission,diagnosis treatment

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