• Korean Journal of Child Studies
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• v.33 no.3
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• pp.199-213
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• 2012

This study was conducted in order to identify the relationship between the home literacy activities, mothers' verbal behavior, toddler-mother joint attention and the language-cognitive development of toddlers. The language-cognitive development of toddlers was assessed by means of the Mental Scale from the Korean Bayley Scale of Infant Development II (K-BSID-II). The home literacy activities were measured by means of the questionnaire used by You (2009), which was partly modified from Shapiro (1979). Lee & Kim (2004)'s categories was used to observe the mothers' verbal behaviors during shared book reading; joint attention episodes were observed by classification categories for engagement condition (Bakeman & Adamson, 1984). One of the more important conclusions of this study is our suggestion that mothers' verbal behaviors and the toddler-mother coordinated joint attention were significantly related to the language-cognitive development of toddlers as it takes place within low-income families.

• Ocean Systems Engineering
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• v.7 no.2
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• pp.157-177
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• 2017

This research is based on the concept of safety airbag to design a self-rescue system for the autonomous underwater vehicle (AUV) using micro inertial sensing module. To reduce the possibility of losing the underwater vehicle and the difficulty of searching and rescuing, when the AUV self-rescue system (ASRS) detects that the AUV is crashing or encountering a serious collision, it can pump carbon dioxide into the airbag immediately to make the vehicle surface. ASRS consists of 10-DOF sensing module, sensing attitude algorithm and air-pumping mechanism. The attitude sensing modules are a nine-axis micro-inertial sensor and a barometer. The sensing attitude algorithm is designed to estimate failure attitude of AUV properly using sensor calibration and extended Kalman filter (SCEKF), feature extraction and backpropagation network (BPN) classify. SCEKF is proposed to be used subsequently to calibrate and fuse the data from the micro-inertial sensors. Feature extraction and BPN training algorithms for classification are used to determine the activity malfunction of AUV. When the accident of AUV occurred, the ASRS will immediately be initiated; the airbag is soon filled, and the AUV will surface due to the buoyancy. In the future, ASRS will be developed successfully to solve the problems such as the high losing rate and the high difficulty of the rescuing mission of AUV.

• Journal of Sasang Constitutional Medicine
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• v.17 no.1
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• pp.45-55
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• 2005

1. Objectives In this study, we analysed the up-to-the-present data in the SCIB and the chart of Iksan Wonkwang Oriental Medical Clinic, to develop the system and factors of data for the SCIB(Sasang constitution Information Bank). 2. Methods SCIB data is composed of analyses about the QSCC II(Questionnaire for the Sasang Constitution Classification II), Cold-hot questionaire, Ban-chi constitution questionnaire, Body composition, Body measurement, 24-hour food intake & Activity examination, MBTI & MMTIC, Informed consent & Blood sampling, and data presented by committee of Sasang constitution diagnosis expert. And the chart data of Iksan Wonkwang Oriental Medical Clinic is composed of analyses about Inspection, Ausculfation and olfaction, Inquiry, Pulse feeling and palpitation, and treatment field. 3. Results and Conclusions Almost data in the SCIB are lack of regular forms because they are based on mainly the QSCC II and additionally other examinations. Conclusionly important matters of the SCIB data are as follows: (1) the standard form including 4 whole diagnostic factors (2) the standard form including symptoms, pattern identifications, treatment processes and treatment results (3) objectivity and practicality to collect data.

• Journal of the Ergonomics Society of Korea
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• v.30 no.1
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• pp.1-8
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• 2011

While human error has been one of the main technical issues from the early era of human factors engineering, it still remains hot and somewhat vague due to the various types of the concepts and words on human errors in practice. There may be some technical limitations hindering human error prevention activities. This paper introduces the human error activities described in the papers if this issue of ESK Journal according to a few criteria proposed for more effective technical review. And two basic technical issues are discussed on the concepts, perspectives, and classifications about human errors. Each activity shows its own artifacts associated with the safety purpose and the nature of the industry. This paper also provides a set of new technical bases proposed for a more effective management of human errors by considering the dependability, representativeness, and structuredness of human errors. Additionally, this paper includes some new challenges over the current prevention-oriented activities; positive utilizations of human errors to training/education, advertisements, fun and entertainments, and nudges.

• Korean Journal of Environment and Ecology
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• v.29 no.2
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• pp.236-249
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• 2015

The master plan of forest land management proposes forest watershed management that considers regional characteristics in order to overcome the problem of uniform forest land management. In order to manage the forest watersheds in Gyeonggi-do, this study classified 1,823 forest watersheds in Gyeonggi-do and attempted to understand their characteristics. It conducted a factor analysis and cluster analysis from the perspective of conservation value and development pressure using forest land indicators. In terms of conservation value, three factors were drawn: the topography factor, vegetation factor and public service factor, while in terms of development pressure, three factors were drawn: the easiness of development factor, economic benefits factor and development activity factor. Using these factors, forest watersheds were divided into three clusters in terms of conservation value while they were divided into three clusters in terms of development pressure. Using the results of the cluster analysis from a conservation-development perspective, the forest watersheds were classified into nine different types, and the characteristics were identified by each type. It is judged that the factors and clusters drawn as a result of the research accurately reflect the present conditions of Gyeonggi-do, and the nine types of forest watersheds have clear characteristics according to each type, which are judged to be utilized in forest management in the future.

• Molecules and Cells
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• v.37 no.5
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• pp.399-405
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• 2014

Autophagy targets cytoplasmic cargo to a lytic compartment for degradation. Autophagy-related (Atg) proteins, including the transmembrane protein Atg9, are involved in different steps of autophagy in yeast and mammalian cells. Functional classification of core Atg proteins in plants has not been clearly confirmed, partly because of the limited availability of reliable assays for monitoring autophagic flux. By using proUBQ10-GFP-ATG8a as an autophagic marker, we showed that autophagic flux is reduced but not completely compromised in Arabidopsis thaliana atg9 mutants. In contrast, we confirmed full inhibition of auto-phagic flux in atg7 and that the difference in autophagy was consistent with the differences in mutant phenotypes such as hypersensitivity to nutrient stress and selective autophagy. Autophagic flux is also reduced by an inhibitor of phosphatidylinositol kinase. Our data indicated that atg9 is phenotypically distinct from atg7 and atg2 in Arabidopsis, and we proposed that ATG9 and phosphatidylinositol kinase activity contribute to efficient autophagy in Arabidopsis.

• Physical Therapy Korea
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• v.18 no.4
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• pp.11-18
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• 2011

The aim of this study was to analyze the relationship between physical impairments and daily activities on the basis of the outcome measurements in stroke patients. Seventy-six stroke patients participated in this study. Two physical therapists evaluated 3 clinical common measurements, i.e., the Fugl-Meyer Assessment (FMA), the Berg Balance Scale (BBS), and the Functional Independence Measure (FIM). Multiple regression analysis was used, as the dependent variables were the BBS and FIM; the independent variables were post-stroke duration, FMA of Upper Extremity (FMU), and FMA of Lower Extremity (FML). In the regression equation of the BBS, the coefficient of determination ($R^2$) was .383, and the FML was found to be the most important variable for determining the BBS score. In the regression equation of the FIM, $R^2$ was .531, and the FML was found to be the most important variable for determining the FIM. These results suggest that there is a need to determine the function of activities on the basis of the physical impairments of stroke patients. More variable measurement tools on the levels of body function and structure, as well as activity limitations are required.

• Physical Therapy Korea
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• v.20 no.4
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• pp.22-31
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• 2013

The aim of the present study was to compare measurement precisions of the Oswestry Back Pain Disability Questionnaire (ODQ) and a computer adaptive testing (CAT) method. The ODQ has been regarded as one of the most reliable condition-specific measure for back pain for decades. Cross-sectional study was carried out with two independent convenient samples from two out-patient rehabilitation clinics for back pain ($n_1=42$) and non-back pain group ($n_2=42$). Participants were asked to fill out the ODQ and CAT of International Classification of Functioning, Disability and Health-Activity Measure (ICF-AM). A series of Rasch analyses were performed to calculate person ability measures. The CAT measures had greater relative precision in discriminating the groups than did the ODQ measure in comparisons of the relative precision. The CAT measure appears to be more effective than did the ODQ measure in terms of measurement precision. By administering test items calibrated in a way, CAT measures using item response theory may promise a means with measurement precision as well as efficiency.

• Journal of Korean Biological Nursing Science
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• v.19 no.4
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• pp.227-240
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• 2017

Purpose: The purpose of this review was to identify the current status of nursing studies on heart failure (HF) patients in South Korea and to suggest future study direction. Methods: A literature review of databases such as KoreaMed, KERIS and nursing and allied health journal were searched with key terms 'heart failure' and 'nursing' for the period from January 2000 to February 2017. A total of 35 studies including 28 articles and 7 theses met the inclusion criteria. Results: Twenty-seven out of 35 studies were observational studies on outpatients and most of the studies did not mention the ejection fraction and New York Heart Association functional classification class (NYHA class) in the inclusion criteria. Self-care and health-related quality of life as psychological factors, and physical activity as a biological factor, were used as main variables. However, we found it difficult to understand how much score indicates better quality of life because of an inconsistent and wide score. In quality assessment, 8 intervention studies had no serious flaws. Conclusion: Further studies should consider more biological and social factors influencing HF. The quality assessment with respect to nursing intervention studies in HF showed that randomized and double-blind trials are needed.

• Journal of Communications and Networks
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• v.14 no.5
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• pp.471-480
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• 2012

Reliable detection of primary user activity increases the opportunity to access temporarily unused bands and prevents harmful interference to the primary system. By extracting a global decision from local sensing results, cooperative sensing achieves high reliability against multipath fading. For the effective combining of sensing results, which is generalized by a likelihood ratio test, the fusion center should learn some parameters, such as the probabilities of primary transmission, false alarm, and detection at the local sensors. During the training period in supervised learning, the on/off log of primary transmission serves as the output label of decision statistics from the local sensor. In this paper, we extend unsupervised learning techniques with an expectation maximization algorithm for cooperative spectrum sensing, which does not require an external primary transmission log. Local sensors report binary hard decisions to the fusion center and adjust their operating points to enhance learning performance. Increasing the number of sensors, the joint-expectation step makes a confident classification on the primary transmission as in the supervised learning. Thereby, the proposed scheme provides accurate parameter estimates and a fast convergence rate even in low signal-to-noise ratio regimes, where the primary signal is dominated by the noise at the local sensors.