Impact of Financial Technology on Improvement of Banks' Financial Performance

This study investigates the main financial technologies adopted by banks to improve their financial performance. The study population consists of commercial banks listed on the Amman Stock Exchange and Abu Dhabi Securities Exchange, and includes financial information and data from 2012 to 2020. A total of 115 questionnaires, consisting of five questionnaires for each bank, were distributed to the study population in Jordan and the United Arab Emirates. The dependent variable is financial performance, while the independent variable is financial technology (FinTech). Multiple linear regression analysis was conducted to test the hypotheses. The results showed that FinTech has a positive effect on both total deposit and net profits. This study recommends that banks be encouraged to adopt inclusive strategies to attain sustainable development.

Analysis of Covid-19 Using Chest X-Ray Images: An AI Based Prospective

The unprecedented surge of Disease occurred in 2019, December named under covid-19, also known as corona-virus, was responsible for outbreaks happening in 2019-2020. It was first diagnosed in Wuhan, Hubei Province in the country China. Coronavirus is phenotypically and genotypically diverse in its behavior. Further, confirmed worldwide cases on April 6, 2020, consisting of 12,11,214 cases reported to the World Health Organization (WHO). The reverse-Transcript-Ase polymer-Ase chain reaction (RT-PCR) is the common solution utilized in the recognition of coronavirus, which has been found to be time-consuming and troublesome. On February 14, 2020, the laboratory-confirmed cases were 49,053 and deaths including 1,381 were documented. As of August 12, 2020, the virus has afflicted the lives of 20,674,903 people. It shows that deadly diseases are surging, plunging, and scattering illiberally in the current world. In accordance with the World Health Organization (WHO), over and above, 30 peculiar diseases like SARS coronavirus (SARS-COV), MERS coronavirus (MERS-COV), and H1N1 influenza, etc., have been diagnosed in previous twenty years to affect the health fitness situation of billions of people. The prime objective of this article is to make a review paper with artificial intelligence as a primary objective. It takes all the research to draw the comparative analyses of the distinct characteristics of data, mainly x-ray images of the chest, providing technologies and approaches to detect and prognosis coronavirus with learning algorithms. With the aim of finding the best-suited model, we compared the research on the basis of essential factors such as size of the batch , rate of learning, summed epochs till which it runs, and nature of optimizer. © 2022 IEEE.

On the predictive power of CAPE or Shiller’s PE ratio: the case of the Greek stock market

This paper examines the capability of the Cyclically Adjusted Price to Earnings (CAPE) or Shiller’s P/E ratio, along with other relative valuation ratios such as the P/E and the P/BV, to predict future returns of the FTSE/ASE Large Cap Index, starting from the development of the index (1997) to December 2018. We have herein used several regression models in order to examine the relationship between the above ratios and the future returns of 1, 3, 5 and 10 years. We show that, while P/E and P/BV ratios are not correlated to future returns, the CAPE ratio and its variation CAPE 5, which uses real 5 year earnings, are efficient estimators of future returns. Our results imply the informational inefficiency of the Greek Stock Market.

Discuss ASE Index Fairly in Corona Pandemic and Suggest Standardized Behaviors Model

This paper aims to discuss ASE index fairly in corona pandemic by discuss factors that help to manage ASE index positively in order to suggest model to manage ASE index in future crises. It concentrates on ASE index that measured based to weight by the market value of the capital. It depends on descriptive methodology to discuss ASE index fairly by explain ignorance affection and study behaviors of dealers’ types to get their objectives. The paper finds that ASE index fairly is impacted by ignorance which caused betting on share price reducing by gambling, and caused finance expert misunderstand ways of supporting ASE index positively. These reasons caused unfair ASE index in corona pandemic. On other hand, dealers’ dealings can impact ASE index based to their behaviors. Researcher suggested a model to face ignorance and get ASE index fairly based to standardize behaviors of all dealers’ types as control system. This standardization of dealers’ dealings can help to control gambling by classified factors based to abuse dealing or fair dealing and control ASE index fairly. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Echocardiographic predictors of mortality and morbidity in COVID-19 disease using focused cardiovascular ultrasound.

BACKGROUND: Focused transthoracic echocardiography (fTTE) has emerged as a critical diagnostic tool during the COVID-19 pandemic, allowing for efficient cardiac imaging while minimizing staff exposure. The utility of fTTE in predicting clinical outcomes in COVID-19 remains under investigation. METHODS: We conducted a retrospective study of 2,266 hospitalized patients at Rush University Medical Center with COVID-19 infection between March and November 2020 who received a fTTE. fTTE data were analyzed for association with primary adverse outcomes (60-day mortality) and with secondary adverse outcomes (need for renal replacement therapy, need for invasive ventilation, shock, and venous thromboembolism). RESULTS: Of the 427 hospitalized patients who had a fTTE performed (mean 62 years, 43% female), 109 (26%) had died by 60 days. Among patients with an available fTTE measurement, right ventricular (RV) dilation was noted in 34% (106/309), 43% (166/386) had RV dysfunction, and 17% (72/421) had left ventricular (LV) dysfunction. In multivariable models accounting for fTTE data, RV dilation was significantly associated with 60-day mortality (OR 1.93 [CI 1.13-3.3], p = 0.016). LV dysfunction was not significantly associated with 60-day mortality (OR 0.95 [CI: 0.51-1.78], p = 0.87). CONCLUSIONS: Abnormalities in RV echocardiographic parameters are adverse prognosticators in COVID-19 disease. Patients with RV dilation experienced double the risk for 60-day mortality due to COVID-19. To our knowledge, this is the largest study to date that highlights the adverse prognostic implications of RV dilation as determined through fTTE in hospitalized COVID-19 patients.

Specific Considerations for Sonographers When Performing Echocardiography during the 2019 Novel Coronavirus Outbreak: Supplement to the American Society of Echocardiography Statement.

Sonographers need to be familiar with and prepared to implement strategies for reducing the risk of exposure to and transmission of the COVID-19 virus. Strategies to employ can be grouped into three broad categories: (1) whom to scan, (2) where to scan, and (3) how to scan. Whom to scan addresses sonographer strategies for determining essential and emergent scan status. Where to scan addresses sonographer practice strategies for selecting equipment, use of rooms, portable examinations, and training personnel. How to scan addresses the topics of scanning techniques (tailored protocols, right-handed scanning, use of barrier devices) and equipment cleaning and disinfecting.