• Korean Journal of Health Education and Promotion
• /
• v.18 no.1
• /
• pp.17-33
• /
• 2001

The purpose of this study was to identify the major factors affecting performance in health promoting lifestyles in continuous ambulatory peritoneal dialysis(CAPO) patients. The subjects for this study were 98 CAPO patients living in Pusan city. The data for this study were collected from October 15th, 1999 to January 15th, 2000 by structured questionaries. Statistical analysis was done using SPSS softwares. The results were as follows: 1. The average score of performance in the health promoting lifestyles was 2.34. The variable with the highest degree of performance was self-actualization and nutrition, whereas the one with the lowest degree was exercise. 2. In the subscale of the health promoting lifestyles, especially educational level, marital state and CAPO period, there was significant differences between demographic variables and performance in the health promoting lifestyles. 3. The activity-related affect, situational influences, self-efficacy, and perceived barriers in the behavior-specific cognitions and affect have a significant correlation with performance in the health promoting lifestyles. 4. The most important variable that affects the performance in the health promoting lifestyles was situational influences, and the self-efficacy, perceived barriers, every monthly treatment cost, duration of chronic renal failure followed in order, activity-related affect. Those six variables accounted for 38.3% among the variables in health promoting lifestyles.

• Journal of Information Processing Systems
• /
• v.13 no.5
• /
• pp.1277-1298
• /
• 2017

Related to the maximum vector problem, a skyline query is to discover dominating tuples from a set of tuples, where each defines an object (such as a hotel) in several dimensions (such as the price and the distance to the beach). A tuple, an instance of an object, dominates another tuple if it is equally good or better in all dimensions and better in at least one dimension. Traditionally, skyline queries are defined upon single-instance data or upon objects each of which is associated with an instance. However, in some cases, an object is not associated with a single instance but rather by multiple instances. For example, on a review website, many users assign scores to a product or a service, and a user's score is an instance of the object representing the product or the service. Such data is an example of multi-instance data. Unlike most (if not all) others considering the traditional setting, we consider skyline queries defined upon multi-instance data. We define the dominance calculation and propose an algorithm to reduce its computational cost. We use synthetic and real data to evaluate the proposed methods, and the results demonstrate their utility.

• Journal of Information Processing Systems
• /
• v.17 no.5
• /
• pp.879-891
• /
• 2021

With improvements in living conditions, an increasing number of people are choosing to spend their time traveling. Comfortable tour routes are affected by the season, time, and other local factors. In this paper, the influencing factors and principles of scenic spots are analyzed, a model used to find the available routes is built, and a multi-route choice model based on a game theory utilizing a path recommendation weight is developed. A Monte Carlo analysis of a tourist route subjected to fixed access point conditions is applied to account for uncertainties such as the season, start time, end time, stay time, number of scenic spots, destination, and start point. We use the Dijkstra method to obtain multiple path plans and calculate the path evaluation score using the Monte Carlo method. Finally, according to the user preference in the input path, game theory generates path ordering for user choice. The proposed approach achieves a state-of-the-art performance at the pseudo-imperial palace. Compared with other methods, the proposed method can avoid congestion and reduce the time cost.

• Journal of Smart Tourism
• /
• v.1 no.1
• /
• pp.53-64
• /
• 2021

Upselling is often a critical factor in revenue generation for businesses in the tourism and travel industry. Utilizing passenger data from a major international airline company, we develop the PAX (Passenger, Airline, eXternal) model to predict passengers that are most likely to accept an upgrade offer from economy to premium. Formulating the problem as an extremely unbalanced, cost-sensitive, supervised binary classification, we predict if a customer will take an upgrade offer. We use a feature vector created from the historical data of 3 million passenger records from 2017 to 2019, in which passengers received approximately 635,000 upgrade offers worth more than $422,000,000 U.S. dollars. The model has an F1-score of 0.75, outperforming the airline's current rule-based approach. Findings have several practical applications, including identifying promising customers for upselling and minimizing the number of indiscriminate emails sent to customers. Accurately identifying the few customers who will react positively to upgrade offers is of paramount importance given the airline 'industry's razor-thin margins. Research results have significant real-world impacts because there is the potential to improve targeted upselling to customers in the airline and related industries.

• Journal of Trauma and Injury
• /
• v.32 no.2
• /
• pp.71-79
• /
• 2019

Purpose: Recent developments in minimally invasive techniques have the potential to reduce surgical morbidity, promote patient recovery, accelerate surgical procedures, and thus improve cost-effectiveness in case management. In this study, we compared the treatment efficacy and results of supraorbital keyhole approach (SOKA) with those of conventional unilateral frontal craniotomy (CUFC) for traumatic intracerebral hemorrhage (TICH) in the frontal lobe. Methods: We analyzed the data of 38 patients who underwent CUFC (n=30) and SOKA (n=8) and retrospectively reviewed their medical records and radiological findings. Furthermore, we tried to identify the best surgical method for such lesions by including patients who underwent burr hole aspiration and drainage (BHAD) (n=9) under local anesthesia due to various circumstances. Results: The difference in the initial Glasgow coma scale score, operative time, and length of hospitalization between the CUFC and SOKA were statistically significant. All radiological features between the two groups including associated skull fracture, amount of pre- and postoperative hematoma, percentage of complete hematoma removal, pre- and postoperative midline shifting of the hematoma, and development of postoperative delayed hematoma were not statistically significant. Our experience of 46 patients with TICH in the frontal lobe with any of the three different surgical methods including BHAD enabled us to obtain valuable findings. Conclusions: Although it is difficult to insist that one particular approach is more useful than the other, we are confident that SOKA will have more advantages over CUFC in carefully selected patients with frontal TICH depending on the surgical experience of a neurosurgeon.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.4
• /
• pp.171-180
• /
• 2021

The purpose of this paper is to estimate the impact of credit rationing on the amount of trade credit used by farmers in Vietnam. This study employs a survey data collected through direct interviews with heads of 1,065 rice households randomly selected out of provinces and city in the Mekong River Delta (MRD). In each province or city, the village with the largest area of land devoted to rice production from the district with the largest area of land devoted to rice production was picked up for survey. In each village, 200 rice farmers were randomly chosen for interview. Based on a probit model and a semi-parametric propensity score matching (PSM) estimator while controlling socio-demographic traits of rice farmers, the estimated results show that non-credit rationed farmers use less trade credit to finance production compared to their credit rationed counterparts. Moreover, the amount of trade credit used by farmers decreases as the degree of credit rationing drops. This paper provides evidence of the substitutive relationship between bank credit and trade credit. It also implicitly suggests that banks can drive trade creditors out of the market if they manage to solve the problem of information asymmetry and transaction cost.

• The Korean Journal of Pain
• /
• v.34 no.1
• /
• pp.114-123
• /
• 2021

Background: Evaluation of the effectiveness of caudal epidural injection on pain, spine mobility, disease activity, and activity of daily living in axial spondyloarthritis (SpA) patients. Methods: A total sample of 47 patients were registered in this study. They were randomly assigned into 2 groups; Group I received caudal epidural injections, ultrasound-guided, with 1% lidocaine hydrochloride mixed with triamcinolone, whereas Group II did not receive any injections. All participants fulfilled the ASAS criteria for axial SpA. Outcome measures were as follows: visual analogue scale, Oswestry disability index (ODI), modified Schober test, lateral lumbar flexion, and Ankylosing Spondylitis Disease Activity Score (ASDAS) with assessment at baseline, 2 weeks, and 8 weeks post-treatment. This clinical trial was registered on clinicaltrials.gov under the number NCT04143165. Results: There was a significant difference between both groups regarding pain, ODI, spine mobility and ASDAS scores in favor of group I. This effect was at its maximum after 2 weeks. Despite the decline of this effect after 2 months, the difference between the groups remained significant. Higher disease activity, younger age, and shorter disease duration were associated with better outcomes. Conclusions: Epidural injection of lidocaine and triamcinolone is a cost effective and a practical technique for controlling pain, as well as improving the function of the spine and disease activity scores in axial SpA patients with acceptable complications and relatively sustained effect.

• The Journal of Korean Medicine
• /
• v.43 no.2
• /
• pp.42-50
• /
• 2022

Objectives: The purpose of this study is to investigate the characteristics of female infertility patients who come to Korean medicine clinics and analyze the trends of Korean medicine treatment methods and the effects of female infertility by registry data. Methods: We are recruiting study participants from Korean medicine hospitals and clinics. If female infertility patients come, we will ask them to register for this study. After enrollment, we will collect demographic information, treatment methods, pregnancy results, adverse events, and treatment costs. Result: First, we will analyze the characteristics of patients, the status of the use of Korean medicine treatment interventions, the cost status of Korean medicine infertility treatment, and the delivery characteristics of pregnant women after Korean medicine treatment. Second, we will analyze the effectiveness of Korean medicine treatment. The primary outcome is clinical pregnancy rate, and secondary outcomes are 12-week pregnancy maintenance rate, degree of dysmenorrhea and premenstrual syndrome, stress level, and health-related quality of life score. Discussion: This study is the first observational multi-center study in Korea for female infertility. By establishing the registry, we are creating a resource that contains patient-reported outcome measures for female infertility. The registry is expected to provide valuable data for developing Korean medicine Clinical practice guidelines for female infertility.

• Smart Media Journal
• /
• v.12 no.2
• /
• pp.36-41
• /
• 2023

With the advent of applicant tracking systems, online recruitment has become more popular, and recruitment fraud has become a serious problem. This research aims to develop a reliable model to detect recruitment fraud in online recruitment environments to reduce cost losses and enhance privacy. The main contribution of this paper is to provide an automated methodology that leverages insights gained from exploratory analysis of data to distinguish which job postings are fraudulent and which are legitimate. Using EMSCAD, a recruitment fraud dataset provided by Kaggle, we trained and evaluated various single-classifier and ensemble-classifier-based machine learning models, and found that the ensemble classifier, the random forest classifier, performed best with an accuracy of 98.67% and an F1 score of 0.81.

• Architectural research
• /
• v.25 no.1
• /
• pp.11-17
• /
• 2023

This study aims to derive key construction supervision work that can be digitalized among construction supervision work. The scope of the study includes domestic construction sites to which the Building Act of South Korea is applied. First, the construction supervision process was identified through extensive consultation of construction expert witnesses. Afterwards, the key construction supervision works for digitization were derived through survey results construction expert witnesses. Among the 24 supervision works throughout the pre-construction, construction, and post-construction stages, the proportion of supervision work manpower or cost, the type of data generated by supervision work and the urgency of introducing digital technology, and the impact on productivity and safety of supervision work were evaluated on a 5-point scale from "very low" to "very high" was investigated. The survey was conducted by t-test analysis, and as a result, it was possible to derive that the level of digitization was higher than average in "quality management," "safety management," and "collection and cooperation of maintenance instructions." It can be interpreted that digitization has been introduced on a pilot testing basis or has already been completed according to the needs of the site. On the other hand, it can be interpreted that the work that are obtained below the average score are considered to be realistically constrained at the construction site and that it is inevitable for the supervisor to proceed manually. Future studies include analyzing the quantitative impact of the key construction supervision work once digitalization is fully applied.