• Title/Summary/Keyword: inflation

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Analysis of procedural performance after a pilot course on endovascular training for resuscitative endovascular balloon occlusion of the aorta

  • Sung Wook Chang;Dong Hun Kim;Dae Sung Ma;Ye Rim Chang
    • Journal of Trauma and Injury
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    • v.36 no.1
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    • pp.3-7
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    • 2023
  • Purpose: As resuscitative endovascular balloon occlusion of the aorta (REBOA) is performed in an extremely emergent situation, achieving competent clinical practice is mandatory. Although there are several educational courses that teach the REBOA procedure, there have been no reports evaluating the impact of training on clinical practice. Therefore, this study is aimed to evaluate the effects of the course on procedural performance during resuscitation and on clinical outcomes. Methods: Patients who were managed at a regional trauma center in Dankook University Hospital from August 2016 to February 2018 were included and were grouped as precourse (August 2016-August 2017, n=9) and postcourse (September 2017- February 2018, n=9). Variables regarding injury, parameters regarding REBOA procedure, morbidity, and mortality were prospectively collected and reviewed for comparison between the groups. Results: Demographics and REBOA variables did not differ between groups. The time required from arterial puncture to balloon inflation was significantly shortened from 9.0 to 5.0 minutes (P=0.003). There were no complications associated with REBOA after the course. Mortality did not show any statistical difference before and after the course. Conclusions: The endovascular training for REBOA pilot course, which uses a modified form of flipped learning, realistic simulation of ultrasound-guided catheter insertion and balloon manipulation, and competence assessment, significantly improved procedural performance during resuscitation of trauma patients.

Basel III Effects on Bank Stability: Empirical Evidence from Emerging Countries

  • ASGHAR, Muhammad;RASHID, Abdul;ABBAS, Zaheer
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.3
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    • pp.347-354
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    • 2022
  • This article examines the influence of Basel III reforms, risk management, and banking sector efficiency on banks' financial stability in emerging countries. The data for this study is collected from various sources. Based on the GDP classification of IMF, the top 22 countries were selected as the sample. The sampling frame includes all six regions of the world including 482 banks and 3022 observations in total. The empirical analysis is carried out by estimating the random effects models. It is found that the effects of capital buffer, liquidity, and risk management practices are significant on financial stability. It is also noticed that the capital buffer has a constructive and significant influence on financial stability. However, liquidity management shows a mixed impact, as in some countries, its impact is positive and significant while, in other countries, it is insignificant. Risk management practices have an overall positive influence on financial stability in the case of large economies. However, results are insignificant in the case of small economies. Bank-specific variables, namely profitability, size, and efficiency have a positive whereas, loan quality has a negative impact on financial stability in the emerging countries. GDP has a positive impact on financial stability whereas inflation and unemployment both have a negative effect on financial stability.

Impact of International Trade Cooperation and Distribution on Foreign Direct Investment: Evidence from Vietnam

  • NGUYEN, Chi Dieu Thi
    • Journal of Distribution Science
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    • v.20 no.4
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    • pp.77-83
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    • 2022
  • Purpose: This study aims to find the impact of international trade cooperation and distribution on foreign direct investment (FDI). The study also tests the impact of lag variables of trade cooperation and distribution on FDI in the future. Research design, data, and methodology: Autoregressive Distributed Lag model is applied to analyze the impact of chosen variables such as total trade (TRADE), trade openness (OPEN), the exchange rate (EXR), inflation (INF), and gross domestic growth (GDP) on FDI. Quarterly data is collected from Vietnam General Statistic Office, Vietnam General Department of Customs, International Monetary Fund, and The World Bank from 2006 to 2020. Stata 14 software is used to analyze the regression and test variables. Results: The findings indicate that TRADE, OPEN, INF, GDP, and their lags affect both positively and negatively on FDI in different periods. While OPEN still expresses an unclear impact on FDI. Moreover, this study proves that the FDI of a nation is influenced by international cooperation. Conclusions: This study indicates the importance of international trade cooperation and distribution in not only attracting foreign investment sources but also developing the economy. Findings are necessary bases for governments or authorities in signing international trade agreements in the future.

International Diesel Price Prediction Model based on Machine Learning with Global Economic Indicators (세계 경제 지표를 활용한 머신러닝 기반 국제 경유 가격 예측 모델 개발)

  • A-Rin Choi;Min Seo Park
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.6
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    • pp.251-256
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    • 2023
  • International diesel prices play a crucial role in various sectors such as industry, transportation, and energy production, exerting a significant impact on the global economy and international trade. In particular, an increase in international diesel prices can burden consumers and potentially lead to inflation. However, previous studies have primarily focused on gasoline. Therefore, this study aims to propose an international diesel price prediction model. To achieve this goal, we utilize various global economic indicators and train a linear regression model, which is one of the machine learning methodologies. This model clearly identifies the relationship between global economic indicators and international diesel prices while providing highly accurate predictions. It is expected to aid in understanding overall economic trends including market changes.

BIM-BASED TIME SERIES COST MODEL FOR BUILDING PROJECTS: FOCUSING ON MATERIAL PRICES

  • Sungjoo Hwang;Moonseo Park;Hyun-Soo Lee;Hyunsoo Kim
    • International conference on construction engineering and project management
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    • 2011.02a
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    • pp.1-6
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    • 2011
  • As large-scale building projects have recently increased for the residential, commercial and office facilities, construction costs for these projects have become a matter of great concern, due to their significant construction cost implications, as well as unpredictable market conditions and fluctuations in the rate of inflation during the projects' long-term construction periods. In particular, recent volatile fluctuations of construction material prices fueled such problems as cost forecasting. This research develops a time series model using the Box-Jenkins approach and material price time series data in Korea in order to forecast trends in the unit prices of required materials. Building information modeling (BIM) approaches are also used to analyze injection times of construction resources and to conduct quantity take-off so that total material prices can be forecast. To determine an optimal time series model for forecasting price trends, comparative analysis of predictability of tentative autoregressive integrated moving average (ARIMA) models is conducted. The proposed BIM-based time series forecasting model can help to deal with sudden changes in economic conditions by estimating material prices that correspond to resource injection times.

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A Validation Study on the Mediating Effect of Parental Support on the Relationship Between Adolescents' Experiences of Discrimination and Depression

  • Chun-Ok Jang
    • International Journal of Advanced Culture Technology
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    • v.12 no.2
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    • pp.360-367
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    • 2024
  • The purpose of this study was to examine the role of parental support in mitigating the impact of discrimination experiences on depression among children and adolescents. This focus was based on the premise that experiences of discrimination can negatively affect peer relationships as well as behavioral and emotional development in youths who spend a significant amount of time with their peers at school. We aimed to explore the mediating role of parental support and to present policy and practical recommendations from a social welfare perspective. For this purpose, data from the "2020 Survey on the Human Rights of Children and Adolescents" was utilized, involving 9,000 students ranging from 4th to 6th grade in elementary school, grade in middle school, and grade in high school from across the country. The study was conducted targeting these groups. For research analysis, frequency analysis using SPSS 26.0 was employed to calculate the general characteristics of the study subjects and the reliability coefficient of the testing tool. And regression analysis was conducted to verify the mediating effect of parental support on the impact of discrimination experiences on depression. The analysis revealed that there were 4,473 males (51.9%) and 4,150 females (48.1%), and that experiences of discrimination had a negative effect on depression (B=311, P<0.001). It was found that the more frequent the experiences of discrimination, the higher the level of depression, and the more a youth experienced discrimination, the greater the psychological depression they endured.

A Dynamic Approach to Understanding Business Performance

  • Kusuma Indawati HALIM
    • Journal of Distribution Science
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    • v.22 no.6
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    • pp.1-10
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    • 2024
  • Purpose: This study's objective is to examine the impact of firm-specific and macroeconomic factors on the business performance of non-cyclical and cyclical sectors in Indonesian listed firms. The evaluation of business performance holds paramount importance for the achievement and long-term viability of a company. Research Design Data and Methodology: The data for 61 non-cyclicals sector companies and 57 cyclicals sector companies was gathered over a 4-year period from 2018-2021. The model integrates firm size, leverage, and sales growth as firm-specific factors, with real GDP growth and inflation rate as macroeconomic variables. ROA and ROE are indicators of a firm's business performance. The regression models are estimated using the distribution of a dynamic approach with Arellano-Bond Panel Generalized Method of Moments (GMM) estimation. Results: The results of the pooled sample indicate that the historical ROA and ROE have a positive relationship with the business performance of all sectors, including both non-cyclical and cyclical industries. The ROE of non-cyclical enterprises is primarily influenced by firm-specific characteristics and macroeconomic influences. Conclusion: To ensure the successful implementation of the distribution of a dynamic approach towards enhancing corporate business performance, organizations need to take into account a combination of firm-specific factors and macroeconomic factors.

A Study on the Diffusion Pattern of Mongolian Mobile Market (몽골 이동통신 시장의 확산 패턴 연구)

  • Enkhzaya Batmunkh;Jungsik Hong;TaeguKim
    • Journal of Korean Society for Quality Management
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    • v.51 no.4
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    • pp.691-700
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    • 2023
  • Purpose: This study aims to analyze the diffusion pattern of the Mongolian mobile phone market. In particular, we used a generalized diffusion model to explore the factors affecting market potenial. Methods: We used three diffusion models to estimate the number of mobile subscribers in Mongolia. Based on the Logistic model with the best fitness, we introduced time-varying market potential and explored the influence of various independent variables such as GDP and inflation. Results: Among the basic diffusion models, the Logistic model was the best in terms of estimation performance and statistical significance. The estimation results of the Generalized Logistic model confirm that investment in the telecommunication sector has a significant positive effect on market potential. The estimation of the Generalized Logistic model effectively describes the continuous growth of the Mongolian telecommunications market until recently. Conclusion: We have analyzed the diffusion pattern of the Mongolian telecommunications market and found that the amount of investment in the sector leads to the growth of the market size. This study is original in terms of its subject - Mongolian telecommunications market and methodology - time-varying market potential.

Minimizing Security Hole and Improving Performance in Stateful Inspection for TCP Connections (TCP연결의 스테이트풀 인스펙션에 있어서의 보안 약점 최소화 및 성능 향상 방법)

  • Kim, Hyo-Gon;Kang, In-Hye
    • Journal of KIISE:Information Networking
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    • v.32 no.4
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    • pp.443-451
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    • 2005
  • Stateful inspection devices must maintain flow information. These devices create the flow information also for network attack packets, and it can fatally inflate the dynamic memory allocation on stateful inspection devices under network attacks. The memory inflation leads to memory overflow and subsequent performance degradation. In this paper, we present a guideline to set the flow entry timeout for a stateful inspection device to remove harmful embryonic entries created by network attacks. Considering Transmission Control Protocol (TCP) if utilized by most of these attacks as well as legitimate traffic, we propose a parsimonious memory management guideline based on the design of the TCP and the analysis of real-life Internet traces. In particular, we demonstrate that for all practical purposes one should not reserve memory for an embryonic TCP connection with more than (R+T) seconds of inactivity where R=0, 3, 9 and $1\leqq{T}\leqq{2}$ depending on the load level.

The Role of the Value Added Network Service Industry in the Korean Economy: Using An Input-Output Analysis (부가통신서비스산업의 경제적 파급효과 분석: 산업연관분석을 이용하여)

  • Shin, Yong Jea;Choi, Sung Wook
    • Journal of Digital Convergence
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    • v.11 no.12
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    • pp.1-10
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    • 2013
  • The value added network service industry has played and important role in the telecommunication service industry and in the economic development of Korea. This study uses input-output analysis to investigate the role of value added network service sector in the Korean national economy for the period 2000, 2005, 2009, focusing on four topics in its application: production inducing effects, value-added inducing effect, employment-inducing effects by demand-driven model and supply shortage effect by supply-driven model, inflation impacts by the Leontief price model, finally analysing inter-industry linkage effects. The results of this study are as follows: production inducing effects analysis 2000 0.5253won to 2009 1.31314won, value-added inducing effects 0.25112won to 0.5337won employment inducing effects from 0.09749 to 0.21025 people grew, the supply shortage effect from 1.29003 to 2.12048won, price impact of Leontief price model was increased from 0.0022% to 0.00258%. Finally, inter-industry linkage effects, appeared to have the characteristics of final demand raw industrial.