Purchasing Power Parity and Country Characteristics: Evidence from Time Series Analysis

This paper investigates the relationships between country characteristics and the validity of PPP. We use three alternative time series methods to test for the stationarity of real exchange rates for each of the 72 countries over the period from 1976 to 2005. Our result shows that the evidence of PPP exhibits geographic difference. It is most likely to find stationary real exchange rates for European countries, whereas it is least likely to obtain the result of supporting PPP for Asian countries. We then use a probit regression model to examine if county characteristics are related to the validity of PPP. The probit regression result reveals that the validity of PPP decreases with inflation rate and increases with nominal exchange rate volatility.Purchasing power parity, Country characteristics, Unit root tests

FINANCIAL DEVELOPMENT AND CARBON EMISSION INTENSITY

Theoretic and empirical literature provides debate relationships between financial development and carbon emissions. Does financial development matters for carbon emissions? This study considers two additional aspects into the field. First is to consider a comprehensive measure of financial development that takes the functions of financial depth, efficiency, and access into account. Second, the nonlinear finance-carbon relationships build on the different development stages of financial system is considered. Considering the above two dimensions, this study explores the dynamic effects of financial development on carbon emissions utilizing pooled mean group estimator (PMG). By analyzing a panel of data for 82 countries from 1991 to 2020, we conclude that the effect of financial development on carbon emissions varies by the financial functions and the level of financial development. We find that financial access and financial efficiency are two critical functions reduce carbon emission intensity, while financial depth has an ambiguous effect on carbon emission intensity. To ensure environmental quality, this study stresses that financial system should provide broadly affordable financial services and increases efficiency

THE CHARACTERISTICS OF BASEBALL BATS MANUFACTURED BY DIFFERENT MATERIALS

Bamboo is a new material to manufacture baseball bat which has the low cost and fast life cycle advantages. But there is no research has been done to study the performance of bamboo bat. This research used three non-destructive testing (NDT) methods including ultrasonic testing method, stress wave testing method and tap tone frequency analysis system (TTFAS) to determine the performance difference among different bat materials. The testing specimen were five baseball bats using four different materials (bamboo, bamboo& wood, wood, and aluminum). The results showed that there are significant correlations among three NDT methods in bats transmit velocities. Therefore, TTFAS method was selected to analyze the characteristics of different material baseball bats because of its low cost and simplicity for the experiment. The results showed the longitudinal and transverse first natural frequencies for each material and the longitudinal and transverse dynamic modulus of elasticity (MOEd). Based on dynamic modulus of elasticity, the stiffness of aluminum bats was higher than the others

Case Report: Rare percutaneous coronary intervention for “right” main bifurcation

We presented the case of a patient with non-ST-elevation myocardial infarction with coronary arteries of an anomalous origin, an interarterial course of the LMCA, a unique wide-angle “right” main bifurcation lesion, and a high SYNTAX score. Management with contemporary PCI and imaging may be an alternative to surgery

Application-Based Online Traffic Classification with Deep Learning Models on SDN Networks

The traffic classification based on the network applications is one important issue for network management. In this paper, we propose an application-based online and offline traffic classification, based on deep learning mechanisms, over software-defined network (SDN) testbed. The designed deep learning model, resigned in the SDN controller, consists of multilayer perceptron (MLP), convolutional neural network (CNN), and Stacked Auto-Encoder (SAE), in the SDN testbed. We employ an open network traffic dataset with seven most popular applications as the deep learning training and testing datasets. By using the TCPreplay tool, the dataset traffic samples are re-produced and analyzed in our SDN testbed to emulate the online traffic service. The performance analyses, in terms of accuracy, precision, recall, and F1 indicators, are conducted and compared with three deep learning models

Development of the Risk Management Mechanism of an Enterprise Resource Planning System based on Work System Method

This study collects 24 risk-management-relevant research papers published between 2000 and 2010 to elicit significant risk factors and thus develop the risk management mechanism of an enterprise resource planning (ERP) system. The study adopts the grounded theory and conducts an expert questionnaire in order to report its findings on 49 risk factors. Based on the work system method, the identified factors are classified into nine categories and a risk management mechanism is developed thereafter. Finally, to examine the feasibility of the mechanism, two case studies are further investigated. The developed mechanism is found to be a convenient, quick, and proper ERP system risk management tool that can assist enterprises in identifying, analyzing, assessing, and responding to potential risks

QUANTITATIVE ANALYSIS OF THE DYNAMIC BALANCE ABILITY BETWEEN THE COLLEGE STUDENTS AND HANDBALL PLAYERS

The purpose of this study was to investigate the differences of dynamic standing ability (Balance keeping time; BKT) and the change of the angular velocity (deg. / s) of a platform between healthy non-athelete female students and handball players using an unstable platform-like seesaw. Methods: The seesaw is capable of rotating side to side in both directions of right and left; it was set horizontally at an angle of zero degrees as a base, with the maximum degree of the seesaw inclination set at 25 degrees. In addition, a high-speed digital video camera (SONY-HDR-CX520V) was set to record the BKT and the changes of motion in the frontal plane from both sides of the plate. Results: There is a significant difference observed in both BKT and the change of angular velocity between non-athletes and handball players. Conclusion: The findings suggest the data gained from the experiments may establish a dynamic balance fitness norm and can be used as an assessment method of the lower extremity coordination ability