• Journal of Korean Academy of Nursing
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• v.7 no.2
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• pp.1-10
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• 1977

Personalized Patient centered nursing care is increasingly difficult to achieve despite the fact that it remains one of our consistent goals. So, we must find away to individualized nursing care. One means, to achieve this is by use of the nursing history form, which has been developed to help the nurse make maximum use of her limited time with the patient, by obtaining systematically the information needed to plan his nursing care. The nursing history form can be used to collect data about individual nursing needs but also it lends itself to the collection of epidemiological data relevant to the needs of patient population. So this study was undertaken in an attempt to describe the general characteristics of the population studied, to find out their perceptions and expectations related to their illness and hospitalization, to find out specific basic needs and to examine the relationship between the patients nursing needs and demographic characteristics through the responses to the nursing history questions. The study population defined and selected was all the patients (70) who were admitted to Yonsei University Hospital from October 1 - 15, 1975. The direct interview method was used and the data were categorized by the investigator, according to the nature of responses to each question and were subjected to the percentile and the chi- square tests. The findings can be summarized as follows 11. General characteristics of the study population ; The population was made up mainly of urban patients who were highly educated. The age was equally distributed. 2. Patients, perceptions and expectations related to illness and hospitalization ; 88.6% of the patients knew about the reason for hospitalization but 64. 5% could state symptoms only. 37.5% recognized the cause of illness. Approximately three fourth of the patients expressed on expectation for early recovery. 60.0% of the patient responses indicated, that they expected less than 10 days of hospitalization. Of the total responses regarding hospitalization, 45.7% were negative about the post -hospitalization expectation, 45.7% expected to return to work. As a result of these findings, we can see that there is a great educational need, a psychological need and environmental need for adaptation to the hospital and a socio- economic need for the post - hospitalization period. 3. Specific basic needs : The physical needs include the problem of getting sufficient sleep (50.0%), difficulty in food intake(47.1%), problems with hospital diet (47.0%), abnormal condition of the skin(44.3%), problems with bowel elimination(35.7%), assistance with bathing(35.7%), pain(30.0%), difficulty in walking(30.0%) , difficulty in seeing(30.0%) problems in urinary elimination(20.0%) , and difficulty in hearing(10.0%), 4. Nursing needs and epidemiological characteristics ; Age distribution was related to the rendition of the mouth but no significant differences were observed statistically with the patients responses to the other nursing history questions according to the epidemiological variables of age, sex, education and residence.

• Journal of Korean Neurosurgical Society
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• v.63 no.4
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• pp.519-531
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• 2020

Objective : The purpose of this study is identify the operation status of the neurosurgical care units (NCUs) in neurosurgical residency training hospitals nationwide and determine needed changes by comparing findings with those obtained from the Korean Neurosurgical Society (KNS) and Korean Society of Neurointensive Care Medicine (KNIC) survey of 2010. Method : This survey was conducted over 1 year in 86 neurosurgical residency training hospitals and two neurosurgery specialist hospitals and focused on the following areas : 1) the current status of the infrastructure and operating systems of NCUs in Korea, 2) barriers to installing neurointensivist team systems, 3) future roles of the KNS and KNIC, and 4) a handbook for physicians and practitioners in NCUs. We compared and analyzed the results of this survey with those from a KNIC survey of 2010. Results : Seventy seven hospitals (87.5%) participated in the survey. Nineteen hospitals (24.7%) employed a neurointensivist or faculty member; Thirty seven hospitals (48.1%) reported high demand for neurointensivists, and 62 hospitals (80.5%) stated that the mandatory deployment of a neurointensivist improved the quality of patient care. Forty four hospitals (57.1%) believed that hiring neurointensivist would increase hospital costs, and in response to a question on potential earnings declines. In terms of potential solutions to these problems, 70 respondents (90.9%) maintained that additional fees were necessary for neurointensivists' work, and 64 (83.1%) answered that direct support was needed of the personnel expenses for neurointensivists. Conclusion : We hope the results of this survey will guide successful implementation of neurointensivist systems across Korea.

• Survey Research
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• v.12 no.1
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• pp.153-174
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• 2011

This research aims to discuss the causes of inaccuracy in public opinion polls currently conducted in Korea. In particular, identifying the problems in sampling frame and sampling methods in political and social public opinion polls is an important question. Currently, most polling organizations operating in Korea are using phone number directories provided by Korea Telecom(KT) as its sampling frame for conducting most political polls. A critical problem of using a phone number directory as a sampling frame is that unlisted phone numbers can never be included in the sample. If a systematic difference in socio-demographic or politico-economic characteristics exists between the listed number using group and the unlisted group, using a phone number directory as a sampling frame cannot produce a sample that can represent the whole adult population in Korea. According to the poll result commissioned by the Asan Institute for Policy Studies in January 2011, there are statistically significant differences in socio-demographic and politico-economic characteristics between those two groups, and those differences led to the differences in the presidential job approval rating and party support. Our findings include that the listed number using group is more pro-Grand National Party and show stronger support for the president than the unlisted group.

• Journal of the Korean Regional Science Association
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• v.32 no.2
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• pp.3-13
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• 2016

This study is to analyze the feasibility of a project to digitalize the originals of cadastral maps of North Korea, a total of 299,688 sheets archived in South Korea's National Archives. The cost-benefit analysis is limited on the digitalization of the original cadastral maps of lands, woods and fields, information analysis on land attributes and platform construction, and the benefit analyses are divided into divided territory ones, namely intrinsic value, heritage value, direct and indirect utility value, military and strategic value and the foundation for inter-Korean unification, and post-unification ones such as the confirmation of ownerships, control of social conflicts, reconnection of family lines, arrangement of lot numbers, cadastral management and urban planning. Such benefits are estimated through the double-bound dichotomous choice of the contingent valuation method (CVM). The scenarios show that benefit in the divided territory is expected to reach 586.8billion won in the current value. The amount was calculated from the payable amount (7,925won) multiplied by the whole number of households. The post-unification benefit is estimated at 324.3billion to 594.1billion won as the payable amount (8,023won) is multiplied by the whole number of households.

• Journal of Intelligence and Information Systems
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• v.20 no.3
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• pp.59-76
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• 2014

The revolution of smart media such as smart phone, smart TV and tablets has brought easiness for people to get contents and related information anywhere and anytime. The characteristics of the smart media have changed user behavior for watching the contents from passive attitude into active one. Video is a kind of multimedia resources and widely used to provide information effectively. People not only watch video contents, but also search for related information to specific objects appeared in the contents. However, people have to use extra views or devices to find the information because the existing video contents provide no information through the contents. Therefore, the interaction between user and media is becoming a major concern. The demand for direct interaction and instant information is much increasing. Digital media environment is no longer expected to serve as a one-way information service, which requires user to search manually on the internet finding information they need. To solve the current inconvenience, an interactive service is needed to provide the information exchange function between people and video contents, or between people themselves. Recently, many researchers have recognized the importance of the requirements for interactive services, but only few services provide interactive video within restricted functionality. Only cooking domain is chosen for an interactive cooking video query service in this research. Cooking is receiving lots of people attention continuously. By using smart media devices, user can easily watch a cooking video. One-way information nature of cooking video does not allow to interactively getting more information about the certain contents, although due to the characteristics of videos, cooking videos provide various information such as cooking scenes and explanation for each recipe step. Cooking video indeed attracts academic researches to study and solve several problems related to cooking. However, just few studies focused on interactive services in cooking video and they still not sufficient to provide the interaction with users. In this paper, an interactive cooking video query service system with linked data to provide the interaction functionalities to users. A linked recipe schema is used to handle the linked data. The linked data approach is applied to construct queries in systematic manner when user interacts with cooking videos. We add some classes, data properties, and relations to the linked recipe schema because the current version of the schema is not enough to serve user interaction. A web crawler extracts recipe information from allrecipes.com. All extracted recipe information is transformed into ontology instances by using developed instance generator. To provide a query function, hundreds of questions in cooking video web sites such as BBC food, Foodista, Fine cooking are investigated and analyzed. After the analysis of the investigated questions, we summary the questions into four categories by question generalization. For the question generalization, the questions are clustered in eleven questions. The proposed system provides an environment associating UI (User Interface) and UX (User Experience) that allow user to watch cooking videos while obtaining the necessary additional information using extra information layer. User can use the proposed interactive cooking video system at both PC and mobile environments because responsive web design is applied for the proposed system. In addition, the proposed system enables the interaction between user and video in various smart media devices by employing linked data to provide information matching with the current context. Two methods are used to evaluate the proposed system. First, through a questionnaire-based method, computer system usability is measured by comparing the proposed system with the existing web site. Second, the answer accuracy for user interaction is measured to inspect to-be-offered information. The experimental results show that the proposed system receives a favorable evaluation and provides accurate answers for user interaction.

• Asia pacific journal of information systems
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• v.23 no.4
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• pp.103-128
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• 2013

When a consumer needs a product or service and multiple sellers are available online, the process of selecting a seller to buy online from is complex since the process involves many behavioral dimensions that have to be taken into account. As a part of this selection process, consumers may set minimum trust expectation that can be used to screen out less trustworthy sellers. In the previous research, the level of consumers' trust expectation has been anchored on two important factors: product involvement and perceived risk. Product involvement refers to the extent to which a consumer perceives a specific product important. Thus, the higher product involvement may result in the higher trust expectation in sellers. On the other hand, other related studies found that when consumers perceived a higher level of risk (e.g., credit card fraud risk), they set higher trust expectation as well. While abundant research exists addressing the relationship between product involvement and perceived risk, little attention has been paid to the integrative view of the link between the two constructs and their impacts on the trust expectation. The present paper is a step toward filling this research gap. The purpose of this paper is to understand the process by which a consumer chooses an online merchant by examining the relationships among product involvement, perceived risk, trust expectation, and intention to buy from an e-tailer. We specifically focus on the mediating role of perceived risk in the relationships between enduring product involvement and the trust expectation. That is, we question whether product involvement affects the trust expectation directly without mediation or indirectly mediated by perceived risk. The research model with four hypotheses was initially tested using data gathered from 635 respondents through an online survey method. The structural equation modeling technique with partial least square was used to validate the instrument and the proposed model. The results showed that three out of the four hypotheses formulated were supported. First, we found that the intention to buy from a digital storefront is positively and significantly influenced by the trust expectation, providing support for H4 (trust expectation ${\rightarrow}$ purchase intention). Second, perceived risk was found to be a strong predictor of trust expectation, supporting H2 as well (perceived risk ${\rightarrow}$ trust expectation). Third, we did not find any evidence of direct influence of product involvement, which caused H3 to be rejected (product involvement ${\rightarrow}$ trust expectation). Finally, we found significant positive relationship between product involvement and perceived risk (H1: product involvement ${\rightarrow}$ perceived risk), which suggests that the possibility of complete mediation of perceived risk in the relationship between enduring product involvement and the trust expectation. As a result, we conducted an additional test for the mediation effect by comparing the original model with the revised model without the mediator variable of perceived risk. Indeed, we found that there exists a strong influence of product involvement on the trust expectation (by intentionally eliminating the variable of perceived risk) that was suppressed (i.e., mediated) by the perceived risk in the original model. The Sobel test statistically confirmed the complete mediation effect. Results of this study offer the following key findings. First, enduring product involvement is positively related to perceived risk, implying that the higher a consumer is enduringly involved with a given product, the greater risk he or she is likely to perceive with regards to the online purchase of the product. Second, perceived risk is positively related to trust expectation. A consumer with great risk perceptions concerning the online purchase is likely to buy from a highly trustworthy online merchant, thereby mitigating potential risks. Finally, product involvement was found to have no direct influence on trust expectation, but the relationship between the two constructs was indirect and mediated by the perceived risk. This is perhaps an important theoretical integration of two separate streams of literature on product involvement and perceived risk. The present research also provides useful implications for practitioners as well as academicians. First, one implication for practicing managers in online retail stores is that they should invest in reducing the perceived risk of consumers in order to lower down the trust expectation and thus increasing the consumer's intention to purchase products or services. Second, an academic implication is that perceived risk mediates the relationship between enduring product involvement and trust expectation. Further research is needed to elaborate the theoretical relationships among the constructs under consideration.

• Korean Journal of Culture and Social Issue
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• v.23 no.2
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• pp.295-332
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• 2017

The main purpose of this research is to analyze stress, social support and coping behavior of adults based on their level of self-efficacy. A total of 899 adults (399 male; 500 female), each with a child attending either elementary and secondary school, participated in the study. The inter-rater reliability for the open-ended questionnaire utilized in the study was 93.4%, with a Kappa coefficient of .92. The range of Cronbach α for the variables measured through a quantitative method was .87~.92. The results were as follows: First, the representative responses to the question about their most painful stress experiences were, financial difficulties, child rearing and duties of workplace. The Lower Efficacy group, compared to the Upper Efficacy group, responded much more with financial difficulties related responses. There were significant differences in the level of stress symptoms according to level of self-efficacy. The Lower Efficacy group expressed stronger levels of stress symptoms when compared to the Upper Efficacy group. Second, in terms of social support, the participants responded that they received the most help from their family members, followed by none(self), and friends. When comparing the two efficacy groups, the Upper Efficacy group responded most frequently that they received social support from their family members, whereas the Lower Efficacy group indicated none. There were significant differences in the level of relational conflicts according to the level of self-efficacy. The Upper Efficacy group showed much less conflict in parent-child relations, spousal relations and relations with their boss, compared to the Lower Efficacy group. Third, for the type of social support participants received, the most frequent response was emotional support, followed by none, and advice. Relatively, when comparing the two groups with each other, the Lower Efficacy group responded more frequently with none, whereas for the Upper Efficacy group responded more frequently with advice. There were significant differences in the amount of emotional support received according to level of self-efficacy. The Upper Efficacy group received much more emotional support from their spouses and their bosses compared to the Lower Efficacy group. Fourth, the most frequently adopted coping style to stress was self-regulation, followed by direct problem solving, and nothing(none). The most frequent response for the Upper Efficacy group was direct problem solving, whereas for the Lower Efficacy group was nothing(none). There was a significant difference in coping efficiency to stress according to level of self-efficacy. The Upper Efficacy group coped more efficiently with stress than the Lower Efficacy group.

• Tuberculosis and Respiratory Diseases
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• v.41 no.4
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• pp.389-396
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• 1994

Background : The two most important purposes of fiberoptic bronchoscopy in lung cancer patients are obtaining tissue diagnosis and staging. The direct sign of lung cancer on FOB includes visible tumor, with smooth or nodular surface, with or without necrosis and infiltration. Variant cell types of lung cancer have their characteristic biological behaviors respectively. For example, squamous cell carcinoma grows slowly, invades locally and has easy necrosis resulting in cavitation, whereas adenocarcinoma shows early metastasis, small cell carcinoma shows rapid growth and higher early metastasis rate. Based on this, it could be hypothesized that each cell type may have characteristic bronchoscopic finding. Method : To answer this question, we reviewed 106 cases which were diagnosed as primary lung cancer and had bronchoscopically visible specific cancerous lesions. Results : The results were as follows. 1) Squamous cell carcinoma accounted for 66 cases(62.2%), adenocarcinoma 15 cases(14.2%), large cell carcinoma 3 cases(2.8%). 2) The endobronchial tumor lesion was arbitrarily classified into 5 types according to gross characteristics. Type A, multilobulating mass with necrosis, accounted for 24.5%, type B, multilobulating mass without necrosis, 25.5%, type C, round beefy mass, 9.4%, type D, infiltration with mucosal irregularity, 6.6%, and type E, infiltration without mucosal irregularity, 34%. 3) The analysis of correlation between endobronchial tumor pattern and specific cell type revealed that squamous cell carcinoma had relation with the morphologic type B and small cell carcinoma had relation with the morphologic type E, but adenocarcinoma had no preponderance in morphologic type. The gross appearance had influence on the diagnostic yields of biopsies and the diagnostic yields of lobulating mass types(type A, B) were higher than those of other types. Conclusion : From the above observations, it could be concluded that squamous cell carcinoma and small cell carcinoma have relations with specific types of bronchoscopic morphology, but not the case in adenocarcinoma.

• Journal of Intelligence and Information Systems
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• v.27 no.1
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• pp.23-46
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• 2021

Collaborative filtering, which is often used in personalization recommendations, is recognized as a very useful technique to find similar customers and recommend products to them based on their purchase history. However, the traditional collaborative filtering technique has raised the question of having difficulty calculating the similarity for new customers or products due to the method of calculating similaritiesbased on direct connections and common features among customers. For this reason, a hybrid technique was designed to use content-based filtering techniques together. On the one hand, efforts have been made to solve these problems by applying the structural characteristics of social networks. This applies a method of indirectly calculating similarities through their similar customers placed between them. This means creating a customer's network based on purchasing data and calculating the similarity between the two based on the features of the network that indirectly connects the two customers within this network. Such similarity can be used as a measure to predict whether the target customer accepts recommendations. The centrality metrics of networks can be utilized for the calculation of these similarities. Different centrality metrics have important implications in that they may have different effects on recommended performance. In this study, furthermore, the effect of these centrality metrics on the performance of recommendation may vary depending on recommender algorithms. In addition, recommendation techniques using network analysis can be expected to contribute to increasing recommendation performance even if they apply not only to new customers or products but also to entire customers or products. By considering a customer's purchase of an item as a link generated between the customer and the item on the network, the prediction of user acceptance of recommendation is solved as a prediction of whether a new link will be created between them. As the classification models fit the purpose of solving the binary problem of whether the link is engaged or not, decision tree, k-nearest neighbors (KNN), logistic regression, artificial neural network, and support vector machine (SVM) are selected in the research. The data for performance evaluation used order data collected from an online shopping mall over four years and two months. Among them, the previous three years and eight months constitute social networks composed of and the experiment was conducted by organizing the data collected into the social network. The next four months' records were used to train and evaluate recommender models. Experiments with the centrality metrics applied to each model show that the recommendation acceptance rates of the centrality metrics are different for each algorithm at a meaningful level. In this work, we analyzed only four commonly used centrality metrics: degree centrality, betweenness centrality, closeness centrality, and eigenvector centrality. Eigenvector centrality records the lowest performance in all models except support vector machines. Closeness centrality and betweenness centrality show similar performance across all models. Degree centrality ranking moderate across overall models while betweenness centrality always ranking higher than degree centrality. Finally, closeness centrality is characterized by distinct differences in performance according to the model. It ranks first in logistic regression, artificial neural network, and decision tree withnumerically high performance. However, it only records very low rankings in support vector machine and K-neighborhood with low-performance levels. As the experiment results reveal, in a classification model, network centrality metrics over a subnetwork that connects the two nodes can effectively predict the connectivity between two nodes in a social network. Furthermore, each metric has a different performance depending on the classification model type. This result implies that choosing appropriate metrics for each algorithm can lead to achieving higher recommendation performance. In general, betweenness centrality can guarantee a high level of performance in any model. It would be possible to consider the introduction of proximity centrality to obtain higher performance for certain models.