• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.113-122
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• 2021

This study aims to investigate the effects of fiscal policy instruments on economic growth in Jordan using annual data from 1970 to 2019, by applying the VAR model (Vector Auto regression) and the Vector Error Correction Model (VECM). The study also examines the dynamic relationship among economic variables over time using the Granger casualty test, Impulse Response Function, and Variance Decomposition. The results show that not only the public expenditures have a positive effect on economic growth in Jordan, but also the tax revenues positively affect the economic growth in the short-run, and this is because of using the tax revenues to finance the government activities in Jordan. This effect becomes negative in the long run, and this is explained because the tax seems a source of distortions in the economy, The extreme taxes may cause huge distortions in the economy, and these distortions destroys the purchasing power, the aggregate demand, and supply. More governmental dependence on tax revenues is the main source of tax evasion and less efficiency. The effect of taxation will curb any prosperity in the economy. Therefore, the government should estimate the fair tax rates to generate sufficient revenues to finance the public expenditure required to enhance economic prosperity.

• International Journal of Computer Science & Network Security
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• v.22 no.5
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• pp.193-203
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• 2022

After the everyday use of systems and applications of artificial intelligence in our world. Consequently, machine learning technologies have become characterized by exceptional capabilities and unique and distinguished performance in many areas. However, these applications and systems are vulnerable to adversaries who can be a reason to confer the wrong classification by introducing distorted samples. Precisely, it has been perceived that adversarial examples designed throughout the training and test phases can include industrious Ruin the performance of the machine learning. This paper provides a comprehensive review of the recent research on adversarial machine learning. It's also worth noting that the paper only examines recent techniques that were released between 2018 and 2021. The diverse systems models have been investigated and discussed regarding the type of attacks, and some possible security suggestions for these attacks to highlight the risks of adversarial machine learning.

• Journal of Korean Academy of Nursing
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• v.32 no.4
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• pp.447-458
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• 2002

The primary purpose of this study is to provide a useful insight for developing effective teaching and student counseling methods by understanding the relationship between four preference patterns of MBTI personality types and EWHA defense mechanisms of nursing college students. Method: The data used in this research were collected administrating EWHA defense mechanism test and MBTI personality type instrument to 195 nursing students in the period of November 3 through September 16 in 2000. Collected data were analysed by pc-SPSS 10.0. Result: Three general conclusions were drawn from the study results: (1) in terms of personality type, 'Extraversion', 'Sensing', 'Thinking', and 'Judgement' types showed high frequency respectively; (2) in terms of defense mechanism, 'Identification' showed the highest score, and then 'suppression' scored next followed by 'Humor'. However, 'Acting out' showed the lowest average score, and then 'Projection' followed by 'Denial'; (3) Based on the relationship between defense mechanism and four MBTI preference patterns, it can be drawn that students with the preference of 'Extraversion' usually use defense mechanism of 'Altruism', 'Sublimation', 'Distortion', 'Controlling', and 'Humor'. In comparison, students with the preference of 'Introversion' often use the defence mechanism of 'Evasion' and 'Projection'. Conclusion: The study results can be utilized in both fields of education and counseling: (1) in the field of education, this study can provide a basis for developing a suitable teaching method for each personality types of nursing students; (2) for counseling practitioners, the results of this study provide the useful insights to understand nursing college students' communication skills, behavior patterns, and ability of coping with problems in the process of counseling.

• The Korean Journal of Elementary Counseling
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• v.9 no.2
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• pp.163-173
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• 2010

This study was designed to develop a teacher's rating scale of elementary school student's school maladjustment. 50 behavior were drawn as elementary school student's school maladjustment behavior from the responses of elementary school teachers. To identify sub-factors of the scale, 60 teachers rated their 240 student's behavior and the collected data were analyzed by using factor analysis. 4 sub-factors were identified as the result : aggressive selfish behavior, misconduct of lesson and classroom rules, passive unsociable behavior and positive evasion of school activities. To identify the validity of the scale, the data from 120 students were analyzed through the concurrent validity between the scale and the teacher rating scale of school maladjustment for Student Problem Behavior Checklist for Elementary School students(Kim & Hwang, 2009). To examine the reliability of the scale, test-retest correlations were calculated by using the data from 120 students and internal consistency coefficients were calculated by using the data from 120 students. The results showed that Teacher's rating Scale of Elementary School Student's School Maladjustment was valid and reliable.

• Strategy21
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• s.46
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• pp.239-276
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• 2020

The failure of early economic sanctions aimed at hurting the overall economies of targeted states called for a more sophisticated design of economic sanctions. This paved way for the advent of 'smart sanctions,' which target the supporters of the regime instead of the public mass. Despite controversies over the effectiveness of economic sanctions as a coercive tool to change the behavior of a targeted state, the transformation from 'comprehensive sanctions' to 'smart sanctions' is gaining the status of a legitimate method to impose punishment on states that do not conform to international norms, the nonproliferation of weapons of mass destruction in this particular context of the paper. The five permanent members of the United Nations Security Council proved that it can come to an accord on imposing economic sanctions over adopting resolutions on waging military war with targeted states. The North Korean nuclear issue has been the biggest security threat to countries in the region, even for China out of fear that further developments of nuclear weapons in North Korea might lead to a 'domino-effect,' leading to nuclear proliferation in the Northeast Asia region. Economic sanctions had been adopted by the UNSC as early as 2006 after the first North Korean nuclear test and has continually strengthened sanctions measures at each stage of North Korean weapons development. While dubious of the effectiveness of early sanctions on North Korea, recent sanctions that limit North Korea's exports of coal and imports of oil seem to have an impact on the regime, inducing Kim Jong-un to commit to peaceful talks since 2018. The purpose of this paper is to add a variable to the factors determining the success of economic sanctions on North Korea: preventing North Korea's evasion efforts by conducting illegal transshipments at sea. I first analyze the cause of recent success in the economic sanctions that led Kim Jong-un to engage in talks and add the maritime element to the argument. There are three conditions for the success of the sanctions regime, and they are: (1) smart sanctions, targeting commodities and support groups (elites) vital to regime survival., (2) China's faithful participation in the sanctions regime, and finally, (3) preventing North Korea's maritime evasion efforts.