• Title/Summary/Keyword: Logistic Support

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Prediction of Amyloid β-Positivity with both MRI Parameters and Cognitive Function Using Machine Learning (뇌 MRI와 인지기능평가를 이용한 아밀로이드 베타 양성 예측 연구)

  • Hye Jin Park;Ji Young Lee;Jin-Ju Yang;Hee-Jin Kim;Young Seo Kim;Ji Young Kim;Yun Young Choi
    • Journal of the Korean Society of Radiology
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    • v.84 no.3
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    • pp.638-652
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    • 2023
  • Purpose To investigate the MRI markers for the prediction of amyloid β (Aβ)-positivity in mild cognitive impairment (MCI) and Alzheimer's disease (AD), and to evaluate the differences in MRI markers between Aβ-positive (Aβ [+]) and -negative groups using the machine learning (ML) method. Materials and Methods This study included 139 patients with MCI and AD who underwent amyloid PET-CT and brain MRI. Patients were divided into Aβ (+) (n = 84) and Aβ-negative (n = 55) groups. Visual analysis was performed with the Fazekas scale of white matter hyperintensity (WMH) and cerebral microbleeds (CMB) scores. The WMH volume and regional brain volume were quantitatively measured. The multivariable logistic regression and ML using support vector machine, and logistic regression were used to identify the best MRI predictors of Aβ-positivity. Results The Fazekas scale of WMH (p = 0.02) and CMB scores (p = 0.04) were higher in Aβ (+). The volumes of hippocampus, entorhinal cortex, and precuneus were smaller in Aβ (+) (p < 0.05). The third ventricle volume was larger in Aβ (+) (p = 0.002). The logistic regression of ML showed a good accuracy (81.1%) with mini-mental state examination (MMSE) and regional brain volumes. Conclusion The application of ML using the MMSE, third ventricle, and hippocampal volume is helpful in predicting Aβ-positivity with a good accuracy.

A Contemplation on Measures to Advance Logistics Centers (물류센터 선진화를 위한 발전 방안에 대한 소고)

  • Sun, Il-Suck;Lee, Won-Dong
    • Journal of Distribution Science
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    • v.9 no.1
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    • pp.17-27
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    • 2011
  • As the world becomes more globalized, business competition becomes fiercer, while consumers' needs for less expensive quality products are on the increase. Business operations make an effort to secure a competitive edge in costs and services, and the logistics industry, that is, the industry operating the storing and transporting of goods, once thought to be an expense, begins to be considered as the third cash cow, a source of new income. Logistics centers are central to storage, loading and unloading of deliveries, packaging operations, and dispensing goods' information. As hubs for various deliveries, they also serve as a core infrastructure to smoothly coordinate manufacturing and selling, using varied information and operation systems. Logistics centers are increasingly on the rise as centers of business supply activities, growing beyond their previous role of primarily storing goods. They are no longer just facilities; they have become logistics strongholds that encompass various features from demand forecast to the regulation of supply, manufacturing, and sales by realizing SCM, taking into account marketability and the operation of service and products. However, despite these changes in logistics operations, some centers have been unable to shed their past roles as warehouses. For the continuous development of logistics centers, various measures would be needed, including a revision of current supporting policies, formulating effective management plans, and establishing systematic standards for founding, managing, and controlling logistics centers. To this end, the research explored previous studies on the use and effectiveness of logistics centers. From a theoretical perspective, an evaluation of the overall introduction, purposes, and transitions in the use of logistics centers found issues to ponder and suggested measures to promote and further advance logistics centers. First, a fact-finding survey to establish demand forecast and standardization is needed. As logistics newspapers predicted that after 2012 supply would exceed demand, causing rents to fall, the business environment for logistics centers has faltered. However, since there is a shortage of fact-finding surveys regarding actual demand for domestic logistic centers, it is hard to predict what the future holds for this industry. Accordingly, the first priority should be to get to the essence of the current market situation by conducting accurate domestic and international fact-finding surveys. Based on those, management and evaluation indicators should be developed to build the foundation for the consistent advancement of logistics centers. Second, many policies for logistics centers should be revised or developed. Above all, a guideline for fair trade between a shipper and a commercial logistics center should be enacted. Since there are no standards for fair trade between them, rampant unfair trades according to market practices have brought chaos to market orders, and now the logistics industry is confronting its own difficulties. Therefore, unfair trade cases that currently plague logistics centers should be gathered by the industry and fair trade guidelines should be established and implemented. In addition, restrictive employment regulations for foreign workers should be eased, and logistics centers should be charged industry rates for the use of electricity. Third, various measures should be taken to improve the management environment. First, we need to find out how to activate value-added logistics. Because the traditional purpose of logistics centers was storage and loading/unloading of goods, their profitability had a limit, and the need arose to find a new angle to create a value added service. Logistic centers have been perceived as support for a company's storage, manufacturing, and sales needs, not as creators of profits. The center's role in the company's economics has been lowering costs. However, as the logistics' management environment spiraled, along with its storage purpose, developing a new feature of profit creation should be a desirable goal, and to achieve that, value added logistics should be promoted. Logistics centers can also be improved through cost estimation. In the meantime, they have achieved some strides in facility development but have still fallen behind in others, particularly in management functioning. Lax management has been rampant because the industry has not developed a concept of cost estimation. The centers have since made an effort toward unification, standardization, and informatization while realizing cost reductions by establishing systems for effective management, but it has been hard to produce profits. Thus, there is an urgent need to estimate costs by determining a basic cost range for each division of work at logistics centers. This undertaking can be the first step to improving the ineffective aspects of how they operate. Ongoing research and constant efforts have been made to improve the level of effectiveness in the manufacturing industry, but studies on resource management in logistics centers are hardly enough. Thus, a plan to calculate the optimal level of resources necessary to operate a logistics center should be developed and implemented in management behavior, for example, by standardizing the hours of operation. If logistics centers, shippers, related trade groups, academic figures, and other experts could launch a committee to work with the government and maintain an ongoing relationship, the constraint and cooperation among members would help lead to coherent development plans for logistics centers. If the government continues its efforts to provide financial support, nurture professional workers, and maintain safety management, we can anticipate the continuous advancement of logistics centers.

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Predictors of Suicidal Thoughts in the People with Depression Drug Costs Support Project in the One Area (일 지역 우울증 약제비 지원 사업 대상자의 자살생각 예측요인)

  • Gang, Moonhee;Kim, Myung Sook;Oh, Hyun Joo
    • Journal of the Korea Convergence Society
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    • v.11 no.10
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    • pp.369-376
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    • 2020
  • This study was to investigate the predictors of suicidal thoughts in the subjects who received the support for depression drug costs at a local public health center. The subjects were 156 depressed patients aged 18 and over. Data analysis was conducted by descriptive statistics, χ2-test, t-test and logistic regression analysis. The results of the analysis showed that the suicidal thoughts rate of the subjects was 25%, and the subjects showed significant differences in suicidal thoughts as the duration of antidepressant use was longer (t=-2.19, p<.05), the perceived physical health(t=3.03, p<.01) and the perceived mental health (t=5.21, p<.001) were lower, and the depression(x2=41.11, p<.001) were higher. The predictors of suicidal thoughts were perceived mental health(OR=0.97, p<.05) and depression(OR=8.44, p<.001). The regression equation of this study explained 42.4% of the suicidal thoughts of the subjects. Continued assessment and convergent mental health promotion programs are required for depression patients living in the community.

Relationships Between Quality of Sleep and Job Stress Among Nurses in a University Hospital (대학병원 간호사들의 수면의 질과 직무스트레스와의 관련성)

  • Lee, Kwang-Sung;Kwon, In-Sun;Cho, Young-Chae
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.8
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    • pp.3523-3531
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    • 2011
  • This study was intended to measure the quality of sleep according to the job stress contents among nurses working for an university hospital. The self-administered questionnaires were given to 482 nurses employed in an university hospital during the period from June 1st to July 31st, 2011. As a results, the quality of sleep was significantly lower in the group with higher job demand, lower job control, lower supervisor and coworker support. In correlation, the level of quality of sleep was positively correlated with job demand, but it was negatively correlated with job control, supervisor and coworker support. In logistic regression analysis, the adjusted odds ratio of the quality of sleep was significantly increased in higher group of job demand than in lower group. But it was significantly decreased in higher group of supervisor and coworker support. The study results may explain that the quality of sleep is independently associated with the job stress contents.

Forecasting of Customer's Purchasing Intention Using Support Vector Machine (Support Vector Machine 기법을 이용한 고객의 구매의도 예측)

  • Kim, Jin-Hwa;Nam, Ki-Chan;Lee, Sang-Jong
    • Information Systems Review
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    • v.10 no.2
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    • pp.137-158
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    • 2008
  • Rapid development of various information technologies creates new opportunities in online and offline markets. In this changing market environment, customers have various demands on new products and services. Therefore, their power and influence on the markets grow stronger each year. Companies have paid great attention to customer relationship management. Especially, personalized product recommendation systems, which recommend products and services based on customer's private information or purchasing behaviors in stores, is an important asset to most companies. CRM is one of the important business processes where reliable information is mined from customer database. Data mining techniques such as artificial intelligence are popular tools used to extract useful information and knowledge from these customer databases. In this research, we propose a recommendation system that predicts customer's purchase intention. Then, customer's purchasing intention of specific product is predicted by using data mining techniques using receipt data set. The performance of this suggested method is compared with that of other data mining technologies.

Factors related to Suicide Ideation among Middle School Students (제조업 사업장 남성 근로자의 직무스트레스 내용과 흡연습관과의 관련성)

  • Yoon, Hyun-Suk;Ahn, Kwon-Suk;Cho, Young-Chae
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.3
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    • pp.2047-2054
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    • 2015
  • The purpose of this study was to define the relationship between job stress contents and smoking habits of manufacturing male workers. The 872 male workers were observed the general characteristics, smoking habits and job stress contents from the JCQ, during the period from February 1st to April 30st, 2012, using the self-administered questionnaires. As a results, the smoking rate of study subjects was 53.0%, and in terms of smoking status by general characteristics, the smoking group was higher in the group of age, job position and job career than their respective counterparts. In terms of smoking status by job stress contents, the smoking group was higher in the group of job demand and supervisor support than their respective counterparts. Based on the results of logistic regression adjusted age, job position and job career, the odds ratio of smoking was significantly increase in the high group of job demand than that of low group, but it was significantly decrease in the low group of supervisor support than that of high group. Above results suggested that the smoking related with the job demand and the supervisor support among the job stress contents.

A Study on Job Stress of Container Termainal Workers (항만하역 근로자들의 직무 스트레스에 관한 연구)

  • Choi, Eun-Kyung;Kim, Kong-Hyun;Lee, Jong-Tae
    • Korean Journal of Occupational Health Nursing
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    • v.11 no.1
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    • pp.63-80
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    • 2002
  • Objectives: The objective of this study is to evaluate the job characteristics of container terminal workers by applying the Job Strain model, and to assess the relationship among the general characteristics, job characteristics and psychosocial distress. Methods: A self-administrated questionnaire survey was performed to the container terminal workers in Pusan. Among the 200 male workers who answered the questionnaires, white-collar workers and blue-collar workers were 100, respectively. Karaseks Job Content Questionnaire was utilized to evaluate the job characteristics and Psychosocial well-being index (PWI) was applied to measure the extent of their psychosocial stress. Results: In white-collar workers, the skill discretion, created skill, decision-making authority, decision-making latitude, psychological job demand, and supervisor support of the job characteristics were significantly high, while in blue-collar workers physical exertion was significantly high. The result of Psychosocial well-being index (PWI) reveals that blue-collar workers were more stressed than white-collar workers, especially, the indices of depression (factor 2), sleeping disturbance and anxiety (factor 3), General well-being and vitality (factor 4) were significantly increased; whereas, in white-collar workers, only the index of social performance and self-confidence (factor 1) was significantly increased. And PWI scores were significantly increased in the lower social support and psychological job demand. By the multiple logistic regression analysis for PWI, blue-collar workers had increased odds ratio of 2.66(95% CI;1.11-6.41) compared with white-collar workers. The unmarried workers increased odds ratio of 3.54(95% CI;1.18-10.62) compared with married workers. And workers who have not own house increased odds ratio of 2.35(95% CI;1.15-4.79) compared with workers who have own house. Particularly, odds ratio of work-shift in blue-collar workers was 11.10(2.14-57.64). Conclusion: Skill discretion, created skill, decision-making authority, decision-making latitude, psychological job demand, and supervisor support were increased in white-collar workers. Decreased skill discretion and increased physical exertion were found in blue-collar workers, which is supported the Job Strain model. Job stress of blue-collar workers was comparatively higher than that of white-collar workers, especially, skill discretion, decision-making authority, decision-making latitude, job insecurity, physical exertion were noticeable factors. Especially, sleeping, smoking, and work shifting turned out to be a main cause that increases stress. Therefore, in order to decrease the job stress, a health promotion program to change the health behaviors should be activated and an organized job stress management program should be introduced. Especially, working condition for blue-collar such as physical exertion and work-shift should be improved.

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A Study on the Verification of Significance of Assessment Items for Selecting Start-ups: Focusing on Project Fostering Start-ups through Leading Universities (창업기업 선정평가지표 유의성 검증에 관한 연구: 창업선도대학육성사업을 중심으로)

  • Jung, Kyung Hee;Sung, Chang So
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.13 no.4
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    • pp.13-22
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    • 2018
  • In this study, we examined the accuracy of the assessment items for selecting start-ups used in the project to support start-ups and verified their validity in determining whether they are appropriate assessment items based on selection criteria. The results of 973 start-ups that applied for the project fostering startup leading universities were collected and logistic regression was performed using SPSS 18.0. The study results are summarized as follows. First, the differences in characteristics of start-ups were identified in terms of selection. Second, the impact of selection by assessment items was gender in 2015, capability of the founder, business establishment in 2016, performance and potential in the global market, and business startup in 2017. Third, the overall selection accuracy analysis for the last three years confirmed that the accuracy of the selection is lower each year and that the accuracy of the selection is lower than the accuracy of the non-selection. This means that the current assessment items for selecting start-ups are inaccurate for selection, and that changes in the items due to changes in the start-up environment each year have led to lower accuracy of selection. It is meaningful that this study raised the importance of assessment items and the need for improvement of assessment items for the screening functions of good start-ups to enhance efficiency of the policies for startup support.

Converged Influencing Factors on the Stages of Exercise Behavior Change of Nurses in Shift Work Using Transtheoretical Model (범이론적모델을 이용한 교대근무 간호사의 운동행위 변화단계에 미치는 융합적인 영향요인)

  • Lee, Hyea-Kyung;Chung, Young-Jin
    • Journal of Convergence for Information Technology
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    • v.7 no.6
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    • pp.35-43
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    • 2017
  • The purpose of this study was to analyze the converged influencing factors on the stages of exercise behavior changes in shift work nurses. The subjects were 120 shift work nurses working in hospitals who understood the purpose of the study and agreed to participate in the study. Data were analyzed using frequency, percentage, mean, standard deviation, t-test, $X^2$ test, and multiple logistic regression analysis. The exercise motivation factors of shift work nurses had a significant effect on stages of exercise behavior change (${\beta}=2.480$, p=.022), health status perceptions(${\beta}=1.151$, p=.013). Social support factors (${\beta}=1.819$, p=.002) and marital status (${\beta}=-1.820$, p=.004) also had significant effects on the stages of exercise behavior change of shift work nurses. In other words, subjects with change in exercise behavior had 11.9 times higher motivation and 3.1 times higher health status perception than those without change in exercise behavior, social support was 6.1 times higher, and unmarried subjects showed 16 times showed higher than that of married subjects. Therefore, it is important to develop a strategy to practice continuous and regular exercise in consideration of the exercise motivation, social support, and health status perception of the nurses in shift work.

Study on Frailty Profiles and Associated Factors in Later Adulthood (노년기 허약 유형과 영향요인에 관한 연구)

  • Kim, Young-Sun;Kang, Eunna
    • 한국노년학
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    • v.38 no.4
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    • pp.963-979
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    • 2018
  • The purpose of this study was to identify frailty profiles based on physical, psychological, and social domains of functioning and to examine the associated factors showing the differences among frailty profiles. Respondents were 70 years and older(n=403) and latent class analysis was applied to determine the optimal subgroups based on Tilberg Frailty Indicators which comprised of three domains(the physical, psychological, and social domain). Also, we performed multinominal logistic regression analysis to find out factors making differences among frailty profiles. Latent class analysis(LCA) identified three distinct types: multi-frail type(27.0%), psychologically frail type(26.8%), inadequate support type(46.2%). All three types had common difficulties in dealing with daily life problems and did not receive enough help with theses difficulties. Based on the results of the LCA three-class models, people in multi-frail type accumulated problems in physical and psychological domains and had partially social domain. On the other hands, psychologically frail type showed a relatively high anxiety disorder and depression. Lastly, people in inadequate support type reported the lack of helps, but they were relatively healthy. Comparing these groups with inadequate support type, people with multi-frail had lower educational level, poor nutritional management status and were less likely to participate in labor market. People in psychologically frail type were more likely to be male, to live in big cities rather than middle and small cities, and less likely to smoke. Based on these results, our results showed the multifaceted concept of frailty among Korean elderly people and we suggested several implications for preventing frail process.