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The Mediating Effect of Ego-resilience on the Relation between Parental Attitude Perceived by Adolescence and Self-Regulated Learning Ability (청소년이 지각하는 부모양육태도와 자기조절학습능력과의 관계에서 자아탄력성의 매개효과)

  • Kim, Yoo-Lee
    • The Journal of the Korea Contents Association
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    • v.18 no.10
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    • pp.596-607
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    • 2018
  • The purpose of this study was to review the relationships among parental care and parental overprotection perceived by adolescence, their ego-resilience and self-regulated learning ability. For this purpose, a total 2,002 students were selected from the seventh data sets of the Korean Child and Youth Panel Survey(KCYPS). More specifically, samples were composed of 1st graders in middle schools(n=2,002). As a result, first, the perceived parental care had significant effects on the self-regulated learning ability both directly and indirectly through ego-resilience. Second, the perceived parental overprotection had effects on their self-regulated learning ability mediated by ego-resilience. But the effect of parental overprotection was less than the effect of parental care. This study implies that parental care attitude and ego-resilience play important roles in the continuous development of adolescents' self-regulated learning ability.

Current Status of Symptom and Pain Control in Cancer Patients Treated with Chemotherapy (화학요법을 받는 암환자의 증상 및 통증조절 현황)

  • Chung, Young;Na, Duck-Mi;Kim, Jin-Sun;Yang, Kyung-Mi
    • Journal of Hospice and Palliative Care
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    • v.6 no.2
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    • pp.144-151
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    • 2003
  • Purpose : The purpose of this study was to identify the current status of symptom and pain control in cancer patients treated with chemotherapy. Methods : The study population consisted of 66 cancer patients treated with chemotherapy and the data was collected by chart audit and using questionnaire from 19 clinicians in an university hospital during the period of August 7 to 24, 2001. The degree of symptom, analgesics type, dose, administration route, and pain control method of cancer patients treated with chemotherapy was investigated. The collected data were analyzed by frequency, percent, mean, and SD using SPSS $PC^+$ program. Results : The number of cancer patients treated with chemotherapy was 66, male 35 (53.0%), female was 31 (47.0%). The largest of age group was $61{\sim}69$(34.8%) years old. Most frequent cancer site was stomach 19 case (28.8%), cole-rectal 17 case (25.8%), urinary 11 case (16.7%) in the respective order. The most common stage of cancer was stage 3, 14 case (29.2%). The most frequent duration of diagnosis was under 3 month, 25 (37.9%). The frequent symptom of cancer patients treated with chemotherapy was marasmus ($2.4193{\pm}1.2220$), pain ($1.9333{\pm}1.2194$), sleep disorders ($1.7142{\pm}1.0384$), personality change ($1.5806{\pm}0.8971$) in the respective order. 3) The analgesics used for pai control were narcotic analgesics 66.2% and nonnarcotic analgesics 33.8%. Pain control method were regular basis+as needed 47.4%, as needed 31.6%, regular basis 21.0% in order. Administration route were oral 50.7%, injection 41.8%, patch 7.5% in order. Conclusion : The most frequent symptom of cancer patients treated with chemotherapy were marasmus and pain. The frequent analgesics was narcotic analgesics but 21% of the clinician regularly prescribed analgesics for pain control. Thus this prescription was insufficient for pain control. Administration route that were used more oral or injection than patch. Based on this evidence, it seemed that more active practice and education about evaluation and pain control of cancer patients treated with chemotherapy are needed.

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A Path Partitioning Technique for Indexing XML Data (XML 데이타 색인을 위한 경로 분할 기법)

  • 김종익;김형주
    • Journal of KIISE:Databases
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    • v.31 no.3
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    • pp.320-330
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    • 2004
  • Query languages for XML use paths in a data graph to represent queries. Actually, paths in a data graph are used as a basic constructor of an XML query. User can write more expressive Queries by using Patterns (e.g. regular expressions) for paths. There are many identical paths in a data graph because of the feature of semi-structured data. Current researches for indexing XML utilize identical paths in a data graph, but such an index can grow larger than source data graph and cannot guarantee efficient access path. In this paper we propose a partitioning technique that can partition all the paths in a data graph. We develop an index graph that can find appropriate partitions for a path query efficiently. The size of our index graph can be adjusted regardless of the source data. So, we can significantly improve the cost for index graph traversals. In the performance study, we show our index much faster than other graph based indexes.