• Clinical and Experimental Pediatrics
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• v.53 no.6
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• pp.669-679
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• 2010

The risk of mortality and morbidity of patients with congenital heart defects (CHDs) is highest during neonatal period and increases when diagnosis and proper management are delayed. Neonates with critical CHDs may present with severe cyanosis, respiratory distress, shock, or collapse, all of which are also frequent clinical presentations of various respiratory problems or sepsis in the newborn. Early diagnosis and stabilization and timely referral to a tertiary cardiac center are crucial to improve the outcomes in neonates with CHDs. In this review, the clinical presentation of critical and potentially life-threatening CHDs is discussed along with brief case reviews to help understand the hemodynamics of these defects and ensure proper decision-making in critically ill patients.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.34 no.2
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• pp.347-363
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• 2024

As the number of cyberattacks against the National Critical Information Infrastructure (NCII) is steadily increasing, many countries are strengthening the protection of National Critical Information Infrastructure (NCII) through the enactment and revision of related policies and legal systems. Therefore, this paper selects countries such as the United States, the United Kingdom, Japan, Germany, and Australia, which have established National Critical Information Infrastructure (NCII) protection systems, and compares and analyzes the promotion system of each country's National Critical Information Infrastructure (NCII) protection policy. This paper compares the National Critical Information Infrastructure (NCII) protection system of each country with the cybersecurity system and analyzes the promotion structure. Based on the policy model theory, which is a modification of Allison's theory and Nakamura & Smallwood's theory, this paper analyzes the model of each country's promotion system from the perspective of policy-making and policy-execution. The United States, Japan, Germany, and Australia's policy-promotion model is a system-strengthening model in which both policy-making and policy-execution are organized around the protection of the National Critical Information Infrastructure (NCII), while the United Kingdom and South Korea's policy-promotion model is an execution-oriented model that focuses more on policy-execution.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.8
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• pp.240-249
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• 2019

This study was conducted to examine the effects of awareness of infection control, career decision making self efficacy and critical thinking disposition on the performance of infection control among nursing students. The study subjects were 404 third and fourth year nursing students at 4 colleges in D and K cities. The data were collected from November 5 to December 21, 2018 by using a structured questionnaire. The data were analyzed by using the SPSS WIN 17.0 program to conduct descriptive statistics, independent t-test, one-way ANOVA, post-hoc Duncan's test, Pearson's correlation coefficients, and multiple regression. The average score of awareness of infection control was 4.75 points, career decision making self efficacy was 3.02 points, critical thinking disposition was 4.73 points and performance of infection control was 4.46 points. Performance of infection control was positively influenced by age, awareness of infection control and career decision making self efficacy. The explanatory power of the model was 38.6%. Therefore, these results imply the need to develop an education program to improve the awareness of infection control and career decision making self efficacy, which will enhance the performance of infection control of nursing students.

• Journal of Korean Critical Care Nursing
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• v.9 no.1
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• pp.15-26
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• 2016

Purpose: The aim of this study was to identify thinking strategies in the complicated decision-making process based on real patient-based data of triage nurses in the emergency department (ED). Methods: This study used the 'think aloud' method to collect data from 8 triage nurses from one general hospital ED in South Korea. The data were analyzed with protocol analysis using thinking strategies. Results: The triage process was divided into three stages. The first stage consisted of 8 thinking strategies, including searching for information. They used intuition based on directly observed concepts for identifying a crisis. The second stage consisted of 17 thinking strategies related to the decision-making process. They assessed patients and generated a hypothesis to try to understand their health problems through analytic thinking. The third stage consisted of 10 thinking strategies, including qualifying. They considered the situation of the ED and properly triaged the patients. During the triage process, they frequently used judging the value and searching for information on 17 thinking strategies. Conclusions: Triage nurses demonstrated various connected thinking strategies for each stage. Based on our results, further studies should be done to develop a triage education program.

• Journal of Advanced Marine Engineering and Technology
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• v.24 no.5
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• pp.52-57
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• 2000

Recently large capacity of electric equipment and increasing in atomic power generation are shown. One of the reason is shortage of the electric power supply for air conditioning load during summer. And every consumer is concerning about economical refrigeration and air conditioning system to decreases electric power consumption and decrease in global warming. For these necessities, ice making thermal storage system is required. Therefore, in this paper, the possibility of continuous slurry ice making using flowing organic water solution in cooled circular tube has been investigated. The experiments was carried out under some parameters of concentration and velocity of water solution, temperature of cooled tube wall, and control pressure in tube, As a result, four types of operating conditions in the pipe, that was supercooling, continuous ice making, intermittent ice making and ice blockage, were classified . And it was found that the critical condition for continuous ice making was acquired as a function of these experimental parameters.

• International Journal of Computer Science & Network Security
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• v.23 no.1
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• pp.25-32
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• 2023

Decision-making refers to identifying the best alternative among a set of alternatives. When a set of criteria are involved, the decision-making is called multi-criteria decision-making (MCDM). In some cases, the involved criteria may be prioritized by the human decision-maker, which determines the importance degree for each criterion; hence, the decision-making becomes prioritized multi-criteria decision-making. The essence of prioritized MCDM is raking the different alternatives concerning the criteria and selecting best one(s) from the ranked list. This paper introduces a generic multi-level algorithm for ranking multiple alternatives in prioritized MCDM problems. The proposed algorithm is implemented by a decision support system for selecting the most critical short-road requests presented to the transportation ministry in the Kingdom of Saudi Arabia. The ranking results show that the proposed ranking algorithm achieves a good balance between the importance degrees determined by the human decision maker and the score value of the alternatives concerning the different criteria.

• Journal of KIISE:Software and Applications
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• v.30 no.12
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• pp.1220-1227
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• 2003

To perform rational decision-making, autonomous agents need considerable computational resources. When other agents are present in the environment, these demands are even more severe. In these settings, it may be difficult for the agent to decide what to do in an acceptable time in multiagent situations that involve many agents. These problems motivate us to investigate ways in which the agents can be equipped with flexible decision-making procedures that enable them to function in a variety of situations in which decision-making time is important. The flexible decision-making methods explicitly consider a tradeoff between decision quality and computation time. Our framework limits resources used for agent deliberation and produces results that are not necessarily optimal, but provide autonomous agents with the best decision under time pressure. We validate our framework with experiments in a simulated anti-air defense domain. The experiments show that compiled rules reduce computation time while offering good performance.

• The Journal of the Convergence on Culture Technology
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• v.7 no.3
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• pp.27-34
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• 2021

The purpose of this study was to investigate the effect of ethical decision making confidence in nursing students and to provide the basic data of to control ethical decision making confidence. Data were collected from 205 nursing students in B city and analyzed by t-test, ANOVA, Pearson correlation coefficient, and multiple regression using SPSS/WIN 22.0. The degree of ethical decision making confidence in nursing students was 3.83±.62. There were significant differences in ethical decision making confidence with respect to gender(t=2.118, p=.037), achivement of life(F=3.851, p=.023). There was positive correlation between ethical decision making confidence and ethical value(r=.153, p=.028), critical thinking disposition(r=.477, p<.001), and professional self concept(r=.566, p<.001). The factors affecting the ethical decision making confidence of the study subjects were critical thinking disposition(β=.254, p<.001), professional self concept(β=.418, p<.001), with an explanatory power of 35.1%. Through this research requires the fellow study to determine the factors affecting ethical decision making confidence of nursing students.

• Journal of the Korean Chemical Society
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• v.58 no.5
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• pp.478-489
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• 2014

The purposes of this study were to develop teaching strategy enhancing the activity to explore variables and to examine the instructional influences on students' creative thinking skills and critical thinking skills. In this study, a model using listing-excluding-controlling variables (DPAS model) was designed and applied to the existing 'Teaching model for the enhancement of the creative problem solving skills'. And it was implemented to preservice science teachers for the one semester. Results indicated that the experimental group presented statistically meaningful improvement in creative thinking skills, especially in recognizing problems, making hypothesis, controlling of variables and interpreting & transforming of data (p<.05). In addition, the strategy contributed to improve critical thinking skills, especially in making hypothesis and making conclusion & generalization (p<.05).

• Journal of KIISE:Software and Applications
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• v.31 no.9
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• pp.1196-1203
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• 2004

Autonomous agents need considerable computational resources to perform rational decision-making. The complexity of decision-making becomes prohibitive when large number of agents are present and when decisions have to be made under time pressure. One of approaches in time-critical domains is to respond to an observed condition with a predefined action. Although such a system may be able to react very quickly to environmental conditions, predefined plans are of less value if a situation changes and re-planning is needed. In this paper we investigate strategies intended to tame the computational burden by using off-line computation in conjunction with on-line reasoning. We use performance profiles computed off-line and the notion of urgency (i.e., the value of time) computed on-line to choose the amount of information to be included during on-line deliberation. This method can adjust to various levels of real-time demands, but incurs some overhead associated with iterative deepening. We test our framework with experiments in a simulated anti-air defense domain. The experiments show that the off-line performance profiles and the on-line computation of urgency are effective in time-critical situations.