FinTech Regulations: Need, Superpowers and Bibliometric Analysis

Abstract : This research paper describes FinTech, Need of FinTech Regulations, Superpowers that are shaping FinTech and Bibliometric Analysis on FinTech Regulations. It also discusses about Regulations that are prevailing in UK, US and China and also Regulating bodies therein. An extensive research has been done for academic publications since 2000 to 2019, focussing on country wide research publications, author statistics, top subject areas and different publication types in FinTech Regulations, using Scopus Database, Google Scholar, Research gate and tools like GPS visualizer. After all the research, has been concluded that these superpowers(UK,US and China) are leading in the Research of this topic as well and have highest number of publications on the topic “FinTech Regulations”

“A study on Disclosure of Intangible assets in 5 star hotels in Bangalore”

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Exploring the Synergy Between Financial Technologies and Financial Inclusion: What We Know and Where We Should Be Heading?

Background: Innovative financial technologies (fintech) are gradually changing how financial transactions and processes are conducted. The adoption of fintech not only benefits the financial sector but can also have a broader impact on society. Due to their ability to provide customized services to a wide range of stakeholders, fintech is gaining traction and experiencing significant growth. Compared to traditional financial institutions, fintech companies can reach a wider audience and operate more efficiently. In addition to upending traditional financial services, fintech can also provide financial services to marginalized groups. We argue that fintech research and practice should focus on seizing opportunities and addressing challenges related to financial inclusion, especially in emerging markets. Method: We conducted a systematic literature review of 178 articles to understand the relationship between fintech and financial inclusion. Results: Our analysis highlights six fintech research themes: fintech and financial inclusion, fintech adoption and use, fintech and sectoral growth, fintech and lending, and technology shaping the fintech. We also present four future themes (basic, driving, niche, and emerging or declining research) that can accelerate financial inclusion. Conclusions: This study highlights the synergies between fintech and financial inclusion research. This study contributes to existing knowledge in three ways. First, the descriptive analysis maps existing research on fintech and financial inclusion. Second, the qualitative analysis provides a comprehensive overview of how fintech and financial inclusion topics is interconnected. Third, future research areas for fintech and financial inclusion were identified. In general, fintech democratizes financial inclusion for the unbanked and marginalized communities while reducing operating costs. Governments should promote financial inclusion among those most vulnerable and affected by global threats

Techniques of wastewater treatment. 1. Introduction to effluent treatment and industrial methods

This article does not have an abstract

CNN based Blockchain Information Protection Model for Emerging Cloud Applications

In the age of mobile internet, the amount of data is growing, and ability to process service data is always getting better. So, protecting data privacy and making sure the service environment is trustworthy have become very important. This paper looks at a trusted privacy service computing model for common uses of convolutional neural networks. The goal is to find data and model calculation methods that support homomorphic encryption to protect data privacy. Build a service process certificate and a method for distributing calculation rights based on blockchain and new contract technology to make sure that service calculations are open, trustworthy, and easy to track. Explore how the new cloud environment resource data service model helps resource providers, model owners, and users work together to make the most of their resources and grow the sharing economy. Lastly, experiments are done to figure out how the model protects privacy

Phytochemical Characterization, Antioxidant and Anti-Proliferative Properties of Rubia cordifolia L. Extracts Prepared with Improved Extraction Conditions

none11sìRubia cordifolia L. (Rubiaceae) is an important plant in Indian and Chinese medical systems. Extracts prepared from the root, stem and leaf have been used traditionally for the management of various diseases. Some of the known effects are anti-inflammation, neuroprotection, anti-proliferation, immunomodulation and anti-tumor. A comparative account of the extracts derived from different organs that lead to the identification of the most suitable solvent is lacking. We explored the presence of phytochemicals, antioxidant activity and anti-proliferative properties of a variety of solvent-based extracts of root, and methanol extracts of stem and leaf of R. cordifolia L. The antioxidant potential was determined by DPPH, hydrogen peroxide, nitric oxide and total antioxidant assays. The anti-proliferative nature was evaluated by MTT assay on HeLa, ME-180 and HepG2 cells. The composition of the extracts was determined by UPLC-UV-MS. We found that the root extracts had the presence of higher amounts of antioxidants over the stem and leaf extracts. The root extracts prepared in methanol exhibited the highest cytotoxicity in HepG2 cells. The main compounds identified through UPLC-UV-MS of the methanol extract give credibility to the previous results. Our comprehensive study corroborates the preference given to the root over the stem and leaf for extract preparation. In conclusion, we identified the methanol extract of the root to be the most suited to have bioactivity with anti-cancer potential.Humbare, Ravikiran B; Sarkar, Joyita; Kulkarni, Anjali A; Juwale, Mugdha G; Deshmukh, Sushil H; Amalnerkar, Dinesh; Chaskar, Manohar; Albertini, Maria C; Rocchi, Marco B L; Kamble, Swapnil C; Ramakrishna, SeeramHumbare, Ravikiran B; Sarkar, Joyita; Kulkarni, Anjali A; Juwale, Mugdha G; Deshmukh, Sushil H; Amalnerkar, Dinesh; Chaskar, Manohar; Albertini, Maria C; Rocchi, Marco B L; Kamble, Swapnil C; Ramakrishna, Seera

Image enhancement suggestions based on machine learning

Images in image libraries are sometimes oriented incorrectly. For example, a photograph taken with a camera held vertically may be displayed horizontally, or vice-versa. Further, users often capture images of documents; however, the resultant image can include distortions due to camera angle, poor lighting, etc. The captured image of a document often also includes objects outside the document boundary, e.g., a surface on which the document is placed. For some photos, automatic enhancements can enhance the quality of the image. This disclosure applies machine learning techniques to detect if an image is that of a document, if the image is mis-rotated, if the image can benefit from automatic enhancement, etc. When such images are detected, enhancements such correction of rotation, cropping, distortion-removal, etc., are automatically suggested to the user, e.g., when the image is displayed. With user permission, an acceptance or dismissal of the suggestion is used as a training signal for the machine learning model. Enhancement suggestions are surfaced, e.g., as tappable or clickable buttons, when an image is being viewed and are applied upon user selection of the suggestion

FinTech Regulations: Need, Superpowers and Bibliometric Analysis

Abstract : This research paper describes FinTech, Need of FinTech Regulations, Superpowers that are shaping FinTech and Bibliometric Analysis on FinTech Regulations. It also discusses about Regulations that are prevailing in UK, US and China and also Regulating bodies therein. An extensive research has been done for academic publications since 2000 to 2019, focussing on country wide research publications, author statistics, top subject areas and different publication types in FinTech Regulations, using Scopus Database, Google Scholar, Research gate and tools like GPS visualizer. After all the research, has been concluded that these superpowers(UK,US and China) are leading in the Research of this topic as well and have highest number of publications on the topic “FinTech Regulations”

A Bibliographic Survey on Detection of COVID-19 Patients using various sensors in the field of IOT

Due to a pandemic situation arising from the past few decades and the covid -19 patients are increasing at the rapid rate. Looking in the near future an IOT model is build which can be useful for people in coming years and allows rapid testing and efficient testing methodologies using various sensors such as Temperature, Respiration, RFID etc which takes various parameters. The study focuses around 412 scientific documents such as Journals, articles, book chapters and Patents in various papers. These documents are extracted from the scopus databases after querying with the keywords related to covid patients and IOT. The articles were analysed for the time period of a few months. For this model, open source tools are used where analysis is done through Node XL, Gephi and VOSviewer. The survey prominently focuses on the type of publications, Publication by Country, Based on the geographical locations, Documents by Year, By Subject Area, By Affiliation and By Author. It was observed from the sides as English was a major language which was used in publishing of the documents. Study of Journal shows the sufficient contribution of Computer Science and Technology in detecting the Covid-19 patients