• Journal of the Semiconductor & Display Technology
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• v.22 no.3
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• pp.142-148
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• 2023

In this paper, we identify performance issues in executing compute kernels from PolyBench, which includes compute kernels that are the core computational units of various data-intensive workloads, such as deep learning and data-intensive applications, on Processing-in-Memory (PIM) devices. Therefore, using our in-house simulator, we measured and compared the various performance metrics of workloads based on traditional out-of-order and in-order processors with Processing-in-Memory-based systems. As a result, the PIM-based system improves performance compared to other computing models due to the short-term data reuse characteristic of computational kernels from PolyBench. However, some kernels perform poorly in PIM-based systems without a multi-layer cache hierarchy due to some kernel's long-term data reuse characteristics. Hence, our evaluation and analysis results suggest that further research should consider dynamic and workload pattern adaptive approaches to overcome performance degradation from computational kernels with long-term data reuse characteristics and hidden data locality.

• IE interfaces
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• v.22 no.2
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• pp.165-173
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• 2009

This paper considers a two-component assembly system that makes different types of purchasing contracts by component type and studies the issue of coordinating those contracts. Acquisition of type 1 component is based on the long-term contract. In contrast, type 2 component is intermittently purchased under the sort-term contract. We identify the structural properties of the optimal short-term contract and investigate how the changes in system parameters affect the optimal performance. To provide managerial insights, we compare the short-term and long-term contracts for type 2 component and discuss the conditions that make the short-term contract preferable to the long-term contract. We also present a result which shows that coordinating the contracts of type 1 and type 2 components can be significantly profitable over uncoordinating them.

• Journal of Home Health Care Nursing
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• v.26 no.2
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• pp.166-179
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• 2019

Purpose: The purpose of this study was to identify the job performance and educational needs, and recognition of professionalism among care workers, and to organize educational programs according to the priorities of care workers. Methods: The participants were 119 care workers who were working in long-term care facilities. Data were collected from May 31 to June 7, 2019 using self-report questionnaires. Collected data were analyzed using t-tests, ANOVA, and Spearman's Correlation Coefficients. Results: The performance aspects of the job were as follows: care for safety and infection-related, communication and leisure support, and excretion. The most demanded educational needs were in first-aid. Care workers had more than average professional recognition. Job performance and educational needs, and recognition of professionalism differed significantly according to several general characteristics. Conclusions: The educational needs of the areas with low frequency of job performance were high. First-aid is low in frequency, but it is important to cope with emergencies, so it is necessary to continue education. Also, there is a difference in recognition of professionalism according to the career. It will be necessary to develop individualized education programs to meet the needs of care workers.

• The Journal of Industrial Distribution & Business
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• v.9 no.10
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• pp.83-89
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• 2018

Purpose - The purpose of this study examines when the optimism impact on financial asset price forecasting and the boundary condition of optimism in the financial asset price forecasting. People generally tend to optimistically forecast their future. Optimism is a nature of human beings and optimistic forecasting observed in daily life. But is it always observed in financial asset price forecasting? In this study, two factors were focused on considering whether the optimism that people have applied to predicting future performance of financial investment products (e.g., mutual fund). First, this study examined whether the degree of optimism varied depending on the direction of the prior price trend. Second, this study examined whether the degree of optimism varied according to the forecast period by dividing the future forecasted by people into three time horizon based on forecast period. Research design, data, and methodology - 2 (prior price trend: rising-up trend vs falling-down trend) × 3 (forecast time horizon: short term vs medium term vs long term) experimental design was used. Prior price trend was used between subject and forecast time horizon was used within subject design. 169 undergraduate students participated in the experiment. χ² analysis was used. In this study, prior price trend divided into two types: rising-up trend versus falling-down trend. Forecast time horizon divided into three types: short term (after one month), medium term (after one year), and long term (after five years). Results - Optimistic price forecasting and boundary condition was found. Participants who were exposed to falling-down trend did not make optimistic predictions in the short term, but over time they tended to be more optimistic about the future in the medium term and long term. However, participants who were exposed to rising-up trend were over-optimistic in the short term, but over time, less optimistic in the medium and long term. Optimistic price forecasting was found when participants forecasted in the long term. Exposure to prior price trends (rising-up trend vs falling-down trend) was a boundary condition of optimistic price forecasting. Conclusions - The results indicated that individuals were more likely to be impacted by prior price tends in the short term time horizon, while being optimistic in the long term time horizon.

• The Journal of the Korea Contents Association
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• v.16 no.7
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• pp.368-381
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• 2016

Purpose: The purpose of this study was to describe the experience of the role conflict among nurses in long-term care hospitals. Method: Data were collected through in-depth interviews with nine nurses in long-term care hospitals. Colaizzi's phenomenological method was used for data analysis. Result: In this study, five categories and twelve theme clusters were generated. The five categories consisted of 'Heavy workload,' 'Nursing job delegation of unclear regulations,' 'Unprotected doctor's job performance,' 'Non-systematic nursing assistants management' and 'Limit of competency.' Conclusion: These results will contribute to the role establishment of nurse in long-term care hospitals and the qualitative improvement of work by providing the grounds for the strategy development which improve working environment and job satisfaction of nurses in long-term care hospitals apposite to the case of Korea.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.1159-1172
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• 2023

Through this study, we aim to investigate the impact of job stress, self-leadership, and social support on nursing performance among nurses in long-term care hospitals. Our objective is to identify specific measures to enhance nursing performance by understanding how these factors influence overall nursing work outcomes. Participants were nurses working at long-term care hospitals in B city and G city. Data were collected with structured questionnaires from February 1 to February 25, 2018. Data were analyzed SPSS 22.0 program for descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient, and multiple regression. Factors which had effect on nursing performance were self-leadership(β=.415, p<.001), age(β=.251, p=.001), social supports(β=.206, p<.001), job stress(β=-.159, p=.001) and position(β=.102, p=.047). We anticipate that the findings of this study, which reflects the job characteristics of nurses in long-term care hospitals, can serve as foundational data for the development of intervention programs related to nursing performance. These results can contribute to the creation of programs aimed at improving nursing outcomes in accordance with the unique work characteristics of nurses in long-term care settings.

• Journal of Korean Academy of Nursing Administration
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• v.16 no.4
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• pp.446-454
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• 2010

Purpose: This study was conducted to compare job satisfaction, self-esteem, and nursing task performance between registered nurses (RN) and nurse assistants (NA) in long-term care hospitals. Method: The sample consisted of 203 nursing personnel (RN 99 and AN 104), who were working in one of 5 long-term care hospitals in 5 different areas. Data were collected by structured questionnaires from March 15 to April 30, 2010, and analyzed using the descriptive statistics, independent t-test, One-way ANOVA, and Pearson correlation coefficients with SPSS/Win 17.0 program. Result: There was no significant difference between nurses and nurse assistants in job satisfaction and self-esteem. But nurses had higher levels of nursing task performance than nurse assistants. Conclusions: These findings demonstrate the necessity of developing programs that will help to improve job satisfaction and self-esteem in nurses and nursing task performance in nurse assistants. Strategies need to be developed to maximize the value of the existing workforce without impacting on the quality of care delivered.

• Journal of Korean Academy of Nursing Administration
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• v.14 no.4
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• pp.477-487
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• 2008

Purpose: The purpose of this study is to develop the competencies of the administrator and the behavioral indicators, and with those as the foundation it is to measure the importance and the performance. Method: On the basis of literature review, the researcher made a preliminary competency and the behavioral indicator for the administrator. Developed competency and behavioral indicator went through the content validity using CVI. Finally, 20 different competencies and 87 behavioral indicators of the administrators in long-term care facility helped measuring the importance of the present administrator's competency and the performance. Results: The competencies are Achievement Orientation, Initiative, Information Seeking, Interpersonal Understanding, Customer Service Orientation, Marketing, Influence, Organizational Awareness, Relationship Building, Staff Development, Assertiveness, Teamwork and Cooperation, Leadership, Analytical Thinking, Conceptual Thinking, Managerial Expertise, Self Control, Self Confidence, Flexibility and Organizational Commitment. For the contents, 87 behavioral indicators are included. The importance and the performance were confirmed by Importance Performance Analysis. The importance of each behavioral indicator in each field and the performance were confirmed with the mean and the standard deviation. Conclusion: The competencies and behavioral indicators of an administrator which were developed by this study are considered that they can be used as the effective guides in the practical field and can also be used as basic materials for developing educational program.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.9
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• pp.329-340
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• 2020

This study investigates the effect of capital structure on the financial performance of pharmaceutical enterprises which are listing on Vietnam's stock market. The study builds the regression using ROE as dependent variable and four independent variables, including self-financing, financial leverage, long-term asset and debt to assets ratios. In addition, we use other variables as controlling ones, such as firm size, fixed asset rate and growth. We collect data for the period from 2015 to 2019 of all 30 pharmaceutical enterprises which are currently listing on Vietnam's stock market. The least square regression (OLS) is used to test the effect of capital structure to the firms' financial performance. The analysis results show that the financial leverage ratio (LR), long-term asset ratio (LAR) and debt-to-assets ratio (DR) have positive relationship with firm performance, meanwhile the self-financing (E/C) affects negatively to the return on equity (ROE). Upon the findings we suggest that the Vietnamese government should focus on stabilizing macro environment to create favorable environment for enterprises. And the pharmaceutical enterprises should build more reasonable capital structure with higher debt proportion than equity, diversifying loan mobilization channels such as issuing long-term bonds. Additionally, the firms should expand the scale appropriately to maintain development and ability to pay debts.

• Computers and Concrete
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• v.33 no.4
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• pp.445-469
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• 2024

The Federal Highway Administration (FHWA) has recommended the use of AASHTOWare Pavement Mechanistic-Empirical Design (PMED) software for Roller-Compacted Concrete (RCC) pavement design, but specific calibration for RCC is missing. This study investigates the software's capacity to predict the long-term performance of RCC roadways within the framework of conventional concrete pavement calibration. By reanalyzing existing RCC projects in several U.S. states: Colorado, Arkansas, South Carolina, Texas, and Illinois, the study highlights the need for specific calibration tailored to the unique characteristics of RCC. Field observations have emphasized occurrence of early distresses in RCC pavements, particularly transverse-cracking and joint-related issues. Despite data challenges, the AASHTOWare PMED software exhibits notable correlation between its long-term predictions and actual field performance in RCC roadways. This study stresses that RCC applications with insufficient joint spacing and thickness are prone to premature cracking. To enhance the accuracy of RCC pavement design, it is essential to discuss the inclusion of RCC as a dedicated rigid pavement option in AASHTOWare PMED. This becomes particularly crucial when the rising popularity of RCC roadways in the U.S. and Canada is considered. Such an inclusion would solidify RCC as a viable third option alongside Jointed Plain Concrete Pavements (JPCP) and Continuously Reinforced Concrete Pavements (CRCP) for design and deployment of rigid pavements. The research presents a roadmap for future calibration endeavors and advocates for the integration of RCC pavement as a distinct pavement type within the software. This approach holds promise for achieving more precise RCC pavement design and performance predictions.