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The Influence of Infection-related Characteristics and Patient Safety Culture on Awareness of Blood-borne Infection Prevention in Operating Room Nurses and General Ward Nurses (수술실간호사와 병동간호사의 감염관련특성과 환자안전문화가 혈행성 감염예방 인식에 미치는 영향)

  • Jeon, Hae Ok;An, Gyeong Ju;Lee, Jong Hee;Lee, Kyoung Mi
    • Journal of Korean Biological Nursing Science
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    • v.23 no.1
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    • pp.43-54
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    • 2021
  • Purpose: This study aimed to identify the factors influencing infection-related characteristics and patient safety culture on awareness of blood-borne infection prevention between operating room nurses and general ward nurses. Methods: Participants were 198 nurses(operating room nurses 98 and general ward nurses: 100) working at three general hospitals and three university hospitals in three cities. Data were collected using a structured questionnaire from September 11 to October 14, 2020. Data were analyzed using descriptive statistics, t-tests, ANOVA, Pearson's correlation coefficient, and multiple regression with IBM SPSS/WIN 26.0 program. Results: Typically, 39.8% of nurses in the operating room and 24.0% of ward nurses experienced injuries such as needles and sharp instruments used by the patient. The awareness of patient safety culture was identified to be higher for the ward nurses. Factors influencing the awareness of blood-borne infection prevention in operating room nurses were patient safety culture and wearing protective equipment for infection prevention while nursing infected patients. Moreover, the explanatory power of these variables was 19.4%. In general ward nurses, the patient safety culture was identified as a significant predictor, which accounted for 16.5% of awareness of blood-borne infection prevention. Conclusion: To prevent hospital infection, a strategy is needed to improve the level of awareness of blood-borne infection prevention and patient safety culture of operating room nurses. To this end, the difference in infection-related characteristics and influencing factors between the operating room nurses and the general ward nurses should be considered and planned.

The Influence of Moral Behavior, Moral Anguish, and Critical Thinking Tendency on Clinical Decision-making Ability in Nurse (간호사의 도덕적 행동, 도덕적 고뇌, 비판적 사고성향이 임상적 의사결정능력에 미치는 영향)

  • Je, Nam-Joo
    • Journal of Digital Convergence
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    • v.19 no.2
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    • pp.275-288
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    • 2021
  • This study was attemted to grasp the factors affecting the clinical decision-making ability of nurse. Data were collected from 156 nurse working in hospital in G-do. Analysis was done using t-test, ANOVA, Pearson correlation coefficient, and Multiple regression with IBM SPSS WIN/25.0. The most influential factor on the subjects' clinical decision-making ability was nursing Research 'very interest', critical thinking tendency, 'master/doctor', clinical experience 'more than 20 years and 1 month', moral behavior, nursing research 'important', 'single', clinical work experience '5 years, 1 month-10 years', department work experience '3 years 1 month-5 years'. The explanatory power was 51.4%. It was significant in that it was confirmed that interest and importance, moral behavior, academic background, and career are variables that influence clinical decision-making ability. The results of this study can be utilized as basic data for the development of intervention plans and programs that can increase clinical decision-making ability in the context of an ethical dilemma. In addition, developing and verifying educational programs that can increase clinical decision-making abilities in ethical dilemmas is needed.

Effects of Emotional Labor and Positive Psychological Capital on Burnout among Nurses at a General Hospital (일개 종합병원 간호사의 감정노동, 긍정심리역량이 소진에 미치는 영향)

  • Nam, Miae;Noh, Yoon-Goo
    • Journal of Digital Convergence
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    • v.19 no.2
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    • pp.289-297
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    • 2021
  • The purpose of this study is to investigate the effect of emotional Labor and positive psychological capital on burnout in general hospital nurses. Participants were 157 nurses working at F General Hospital in C City, Gyeongsangnam Province and data were collected from February 8 to 22, 2019. Data were analyzed by t-test, one-way ANOVA, Pearson's correlation, multiple regression analysis using SPSS Win 23.0. Burnout was positively correlated with emotional labor (r=.531, p<.001), whereas a negative correlation was observed with positive psychological capital (r=-.391, p<.001). Factors influencing burnout included emotional labor (β=.47, p<.001), positive psychological capital (β=-.28, p<.001), with 34.9% explanatory power (F=42.78, p<.001). This result may be useful in developing new strategies for reducing burnout. Further research is needed to identify other factors affecting the burnout of general hospital nurses.

Investigation on the dynamic response of porous FGM beams resting on variable foundation using a new higher order shear deformation theory

  • Atmane, Redhwane Ait;Mahmoudi, Noureddine;Bennai, Riadh;Atmane, Hassen Ait;Tounsi, Abdelouahed
    • Steel and Composite Structures
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    • v.39 no.1
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    • pp.95-107
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    • 2021
  • In this work, the dynamic response of functionally graded beams on variable elastic foundations is studied using a novel higher-order shear deformation theory (HSDT). Unlike the conventional HSDT, the present one has a new displacement field which introduces undetermined integral variables. The FG beams were assumed to be supported on Winkler-Pasternak type foundations in which the Winkler modulus is supposed to be variable in the length of the beam. The variable rigidity of the elastic foundation is assumed to be linear, parabolic and sinusoidal along the length of the beam. The material properties of the FG porous beam vary according to a power law distribution in terms of the volume fraction of the constituents. The equations of motion are determined using the virtual working principle. For the analytical solution, Navier method is used to solve the governing equations for simply supported porous FG beams. Numerical results of the present theory for the free vibration of FG beams resting on elastic foundations are presented and compared to existing solutions in the literature. A parametric study will be detailed to investigate the effects of several parameters such as gradient index, thickness ratio, porosity factor and foundation parameters on the frequency response of porous FG beams.

The Effects of Organizational Commitment and Perceived Patient Safety Culture on Patient Safety Nursing Activities among Nurses in Comprehensive Nursing Care Units (간호·간병통합서비스 병동 간호사의 조직몰입과 환자안전문화인식이 환자안전간호활동에 미치는 영향)

  • Noh, Sook;Kim, Tae Im
    • Journal of Korean Clinical Nursing Research
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    • v.27 no.1
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    • pp.12-22
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    • 2021
  • Purpose: The purpose of this study is to identify the effects of organizational commitment (OC) and perceived patient safety culture (PPSC) on patient safety nursing activities (PSNA) among nurses in comprehensive nursing care units. Methods: Participants were 173 nurses working at five general hospitals in Chungcheong area. Data were analyzed using descriptive statistics, 𝑥2 test, t-test, ANOVA, Pearson's correlation coefficient, and multiple regression analysis with SPSS/WIN 23.0 programs. Results: The mean scores of the OC and PPSC were 3.28±0.50 and 3.85±0.35, respectively. The mean score of PSNA was 4.55±0.41, and PSNA was significantly different by the experience of participating in hospital's safety culture campaigns (t=2.70, p=.008). The results of the multiple regression analysis showed that 'patient safety knowledge and attitudes' (β=.27, p=.006) and 'unpunished environment to error' (β=.22, p=.004) as the sub-categories of PPSC were affecting factors on PSNA with an explanatory power of 26.0% (F=6.40, p<.001). Conclusion: The results of this study suggest that in order to promote PSNA among nurses in comprehensive nursing care units, it is necessary to develop a program to enhance patient safety-related knowledge and attitudes. In addition, the hospital's organizational efforts such as operating safety campaigns and creating an unpunished environment to error should be needed.

Deep Neural Network Weight Transformation for Spiking Neural Network Inference (스파이킹 신경망 추론을 위한 심층 신경망 가중치 변환)

  • Lee, Jung Soo;Heo, Jun Young
    • Smart Media Journal
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    • v.11 no.3
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    • pp.26-30
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    • 2022
  • Spiking neural network is a neural network that applies the working principle of real brain neurons. Due to the biological mechanism of neurons, it consumes less power for training and reasoning than conventional neural networks. Recently, as deep learning models become huge and operating costs increase exponentially, the spiking neural network is attracting attention as a third-generation neural network that connects convolution neural networks and recurrent neural networks, and related research is being actively conducted. However, in order to apply the spiking neural network model to the industry, a lot of research still needs to be done, and the problem of model retraining to apply a new model must also be solved. In this paper, we propose a method to minimize the cost of model retraining by extracting the weights of the existing trained deep learning model and converting them into the weights of the spiking neural network model. In addition, it was found that weight conversion worked correctly by comparing the results of inference using the converted weights with the results of the existing model.

International and National Legal Experience in Combating Corruption and the Influence of Information Policy on Improving the Implementation of Anti-Corruption Measures

  • Bagdasarova, Anaid E.;Dzhafarov, Navai K.;Kosovskaya, Viktoria A.;Muratova, Elena V.;Petrova, Irina A.;Fedulov, Vyacheslav I.
    • International Journal of Computer Science & Network Security
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    • v.22 no.9
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    • pp.169-174
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    • 2022
  • The purpose of the study is to research the legal nature and essence of corrupt behavior, as well as the international and national legal aspects of the fight against corruption. The article discloses the relation between the factual results of the operation of anti-corruption normative and legal acts and the goals and objectives for which they were adopted. The effectiveness of the regulatory effect and quality of anti-corruption legislation is determined by the example of the Russian Federation. The article provides an analysis of theoretical aspects of the theory and history of the formation and development of anti-corruption legislation (on the example of Russia and some other countries, as well as international legal norms) giving several practical examples from foreign legislation demonstrating the structure of the system of government bodies battling against corrupt behavior (including its latent forms). The authors suggest that there is a need for a unified conception of information and propaganda support of state anti-corruption activities. This will make it possible to inform the population that the state is actively working to prevent corruption threats and to bring perpetrators to justice, as well as contribute to citizens' trust in the state policy in this area. At the same time, it is necessary to regularly inform the citizens about the provisions of the anti-corruption legislation, explaining the importance of their observance.

Vaccine Cold Chain Monitoring System Using IoT Vaccine Fridge for Developing Countries (IoT 백신 냉장고를 사용한 개발도상국 백신 콜드체인 모니터링 시스템)

  • Lyu, Jang-Hyeon;Park, Samuel;Yu, Jong-Ha;Wang, Xin-Lin;Im, Hyuck-Soon;Rhee, Hyop-Seung;Ahn, Sung-Hoon
    • Journal of Appropriate Technology
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    • v.7 no.1
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    • pp.26-32
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    • 2021
  • In the process of vaccine delivery and vaccination, temperature is mostly controlled by an insulated containers containing ice. Moreover, amount of wasted vaccine is significant because the temperature of the vaccine is not properly controlled. A core challenge of vaccination is temperature data monitoring, since it is critical for managing and operating strategical vaccination by health organizations. In this research, a real-time monitoring vaccine carrier system was developed. Temperature, location, and power consumption data of the vaccine carrier were monitored and working performances of the vaccine carrier were tested in both Korea and Tanzania (Arusha and Kilimanjaro regions). For both places, Short Message Service (SMS) communication method was used to send information of the carrier's status. As a result, the monitoring system was able to transmit and receive real-time data of the vaccine carrier status while the vaccine carrier was tested. The vaccine status data can be accessed from any location through the cloud server and web-based user interface.

Modelling and Factor Analysis of Pricing Determinants in the State-Regulated Competitive Market: The Case of Ukrainian Flour Market

  • Dragan, Olena;Berher, Alina;Plets, Ivan;Biloshkurska, Nataliia;Lysenko, Nataliia;Bovkun, Olha
    • International Journal of Computer Science & Network Security
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    • v.21 no.7
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    • pp.211-220
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    • 2021
  • The aim of the study is to implement a factor analysis of the determinants of pricing in a state-regulated competitive market using economic and mathematical modelling methods and to develop ways to improve the pricing environment of the market under study. The purpose of the work defines the main objectives: (i) to investigate the features of the competitive model of the Ukrainian flour market; (ii) to analyse the current price conjuncture of the flour market and the dynamics of the main determinants of pricing; (iii)to develop ways of improving the price situation on the flour market on the basis of the factor analysis on the results of economic and mathematical modelling. In order to ensure the reliability and validity of the research results, the following methods were applied: the logical-dialectical method of scientific knowledge in the study of the main theoretical aspects of flour market functioning, the method of logical generalisation and synthesis, comparison, factor analysis, correlation and regression analysis, the graphical method, etc. It has been shown that pricing in a state-regulated competitive market has its own characteristics. For example, in the flour market the price of goods cannot be influenced by producers (sellers) by any methods, therefore determinants of pricing by indirect influence have been taken into account. The five-factor power model of wheat flour price has been constructed. It was substantiated that the price of wheat flour in Ukraine is mostly influenced by consumer price index (0.92 %). The received complex model of wheat flour price may be used also for medium-term forecasting and working out the ways of price formation optimization in the flour market.

Factors related to English communication skills in the dental health service process of clinical dental hygienists (임상 치과위생사의 치과의료 서비스 과정에서 영어 의사소통 능력 관련 요인)

  • Park, Myeong-Hwa;Park, Jong-Tae;Jang, Jong-Hwa
    • Journal of Korean society of Dental Hygiene
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    • v.22 no.5
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    • pp.375-382
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    • 2022
  • Objectives: This study analyzes factors related to English communication skills in the dental health services of clinical dental hygienists who provide dental medical services to foreigners. Methods: Surveys were conducted to measure students' English communication skills. Participants comprised 195 clinical dental hygienists working at dental English study cafes or who provided dental medical services to foreigners. After analyzing the differences in English communication skills, hierarchical multiple regression analysis was performed on the factors related to English communication skills. Results: English communication skill of dental hygienists was 1.96 points out of 5 points. The factors related to the English communication skill of the clinical dental hygienists were foreign patient care, language training experience, overseas living experience, and certified English proficiency. The adjusted explanatory power of this model was 53.0%. Conclusions: Dental hygienists in charge of foreign patients have experience in language training and overseas residence, have a language qualification certificate, and have higher English communication skills. It is necessary to develop English language learning programs based on metaverse to develop the English communication skills of dental hygienists who provide dental health services to foreign patients and to operate a creative educational environment to increase interest in learning English.