• Korean Journal of Computational Design and Engineering
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• v.16 no.6
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• pp.458-466
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• 2011

The morphology of a bone is closely associated with its biomechanical response. Thus, much research has been focused on analyzing the effects of variation of bone morphology with subject-specific models. Subject-specific models, which are generally achieved from 3D imaging devices like CT and MRI, incorporate more of the detailed information that makes a model unique. Hence, it may predict individual responses more accurately. Despite these powerful characteristics, specific models are not easily parameterized to the extent possible with statistical models because of their morphologic complexities. Thus, it is still proven challenging to analyze morphologic variations of subject-specific models across changes due to aging or disease. The aim of this article is to propose a generic and robust parametric morphing method for a subject-specific bone structure. We demonstrate this by using the proposed method on a model of a human proximal femur. Automatic segmentation algorithms are also presented to parameterize the specific model efficiently. A total of 48 femur models were evaluated for defining morphing vector fields. Also, several anatomical and mechanical functions of femur were considered as morphing constraints, and the NURBS interpolating technique was applied in the method to guarantee the generality of our morphed results.

• Journal of Korean Academy of Nursing
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• v.26 no.4
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• pp.946-962
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• 1996

The purpose of this study was to contribute to the development of clinical instruction by students' ratings of teaching effectiveness in clinical nursing education. The subjects were comprised of graduating class 618 students from 24 nursing colleges in the nation. The instruments used in this study were "general characteristics & status of clinical nursing education" developed by the researcher and "Instrument to Measure Effectiveness of Clinical Instructors" by Reeve(1994). The 50 questions used in the questionaire were categorized into 13 components subject to factor analysis. The 13 components were interpersonal relationships, communication skills, role model, resource for students, favorable to students, encouraging to think for selves, teaching methods, evaluation, finding assignments for objectives, organization of subject matter, professional competence, knowledge of subject matter & working with agency personnel. The results of this study are as follows 1. Status of clinical nursing educaion : 1) Clinical nursing education were led by nursing professors(44.9%), a team of both nuring professor & head nurse(6.8%), instructors from specific hospital(15.1%), instuctos for a specific subject(14.6%), & head nurse(6.8%). For 3-year program students, 34.6% of the clinical nursing education were led by instructors from specific hospital & 51.4% of the education by nursing professors for Bachelor's program. 2) The contents for clinical education comprised of Conference being the most frequent of 34.5% ; a combination of Nursing skills, Orientation, Conference etc.22.0% : Nursing process 21.7% : Orientation 13.5% : Inspection(making rounds ) 6.4%, & Nursing skills of 2% being the least frequent. 3) Students' preference of clinical teachers from the highest to the lowest were instructors for a specific subject being the most desired (44.9%) followed by nursing professor, head nurse, a team of both nursing professor & head nurse, & instructors from specific hospital being the least desired. 4) Students felt that the qualification for clinical teachers should be at least a master's degree holder and 5 or more years of clinical experience. The reason they felt was because knowledge & experience are imperative for professional education. 2. Clinical teaching effectiveness : The total points for teaching effectiveness was 147.97(mean of 2.95±0.98) where the total score is considered to be an average rating. 3. Teaching effectiveness as status of clinical nursing education : 1) The score ratings for the clinical instructors from the highest to the lowest were as follows : instructors for a specific subject, instructors from specific hospitals, a team of both nursing professors & head nurses, nursing professors, head nurses, which resulted in significunt difference(F=4.53, P<0.001). 2) The rating scores based on the teaching program from the highest to the lowest were as follws ; nursing skills, nursing process, a combination of nursing skills, orientation, conference etc. , conferences, orientation, inspection, which resulted in significunt difference(F=10.97, P<0.001). 4. Based on 13 categorized components from the questionaires, questions related to communication skills scored the highest points of 3.20 where inquiries regarding resource for students scored the lowest points of 2.38. 5. Among the 13 categorial components from the questionaire, Interpersonal relationship, Communication skills, Resource for students, Encouraging to think for selves, Evaluation, Teaching method, Finding assignment for objectives, Organization of subject matter, Professional competence, & Working with agency personnel, instructors for a specific subject scored the highest points and head nurse scored the lowest, which resulted in significant difference. Favorable for students, instructors for a specific subject scored highest points and nursing professor scored the lowest, which resulted in significant deference (F=5.39, P<0.001). Role model & Professional competence, instructors for a specific subject scored the highest points and head nurse scored the lowest, with minimum variation(F=1.29, P>0.05 : F=1.64, P>0.05) 6. Based on 13 categorial components as a whole, the highest points scored among the 5 groups of clinical teachers was instructors for a specific subject and the lowest, by head nurse(F=1.94, P<0. 001). A team of both nursing professor & head nurse attained higher score in clinical education than their independent education.

• Journal of Computing Science and Engineering
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• v.6 no.3
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• pp.219-226
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• 2012

Recently, shape analysis of human organs has achieved much attention, owing to its potential to localize structural abnormalities. For a group-wise shape analysis, it is important to accurately restore the shape of a target structure in each subject and to build the inter-subject shape correspondences. To accomplish this, we propose a shape modeling method based on the Laplacian deformation framework. We deform a template model of a target structure in the segmented images while restoring subject-specific shape features by using Laplacian surface representation. In order to build the inter-subject shape correspondences, we implemented the progressive weighting scheme for adaptively controlling the rigidity parameter of the deformable model. This weighting scheme helps to preserve the relative distance between each point in the template model as much as possible during model deformation. This area-preserving deformation allows each point of the template model to be located at an anatomically consistent position in the target structure. Another advantage of our method is its application to human organs of non-spherical topology. We present the experiments for evaluating the robustness of shape modeling against large variations in shape and size with the synthetic sets of the second cervical vertebrae (C2), which has a complex shape with holes.

• Structural Engineering and Mechanics
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• v.45 no.4
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• pp.521-542
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• 2013

In this study a truss model is used for the geometrically nonlinear static and dynamic analysis of a thin shallow arch subject to snap-through. Thanks to the very simple geometry of a truss, the equilibrium conditions can be easily written and the global stiffness matrix can be easily updated with respect to the deformed structure, within each step of the analysis. A very coarse discretization is applied; so, in a very simple way, the high frequency modes are suppressed from the beginning and there is no need to develop a complicated reduced-order technique. Two short computer programs have been developed for the geometrically nonlinear static analysis by displacement control of a plane truss model of a structure as well as for its dynamic analysis by the step-by-step time integration algorithm of trapezoidal rule, combined with a predictor-corrector technique. These two short, fully documented computer programs are applied on the geometrically nonlinear static and dynamic analysis of a specific thin shallow arch subject to snap-through.

• Journal of the Korean Society for Precision Engineering
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• v.26 no.6
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• pp.122-130
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• 2009

The analysis of human movement requires the knowledge of the Hill type muscle parameters, the muscle-tendon and moment arm length change as a function of joint angles. However, values of a subject's muscle parameters are very difficult to identify. It turns out from a sensitivity analysis that the tendon slack length and maximum muscle force are the two critical parameters among the Hill-type muscle model. Therefore, it could be claimed that the variation of the tendon slack length and maximum muscle force from the Delp's reference data will change the muscle characteristics of a subject remarkably. A numeric optimization method to search these tendon parameters specific to a subject is proposed, and the accuracy of the developed algorithm is evaluated through a numerical simulation.

• Journal of Korean Library and Information Science Society
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• v.40 no.1
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• pp.541-560
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• 2009

Among university librarians and academic community in Korea, there has been constant debate on the need for subject librarianship and the restructuring of educational programs. The debate has not resulted in substantive change so far. Recently, as several university libraries have begun to implement subject librarian service, there is a growing need to reeducate practicing librarians for such service. Recognizing that the liaison service model best fits the reality of academic libraries, this article proposes curriculum development goals and strategies, and specific course listings for the training of subject liaison librarians. We also suggest specific conditions requisite for such education programs fully develop in the future.

• Journal of Korean Home Economics Education Association
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• v.8 no.2
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• pp.65-79
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• 1996

This study proposes a model curriculum for Vocational Home Economics High School in the 7th Curriculum Revision. The model in the study is first drawn from the assumptions that reflect ever changing demands of industrial society for Home Economics education. Another perspective employed in the study is historical analysis that focuses on the evolution of the Vocational Home Economics Curricula from the 1st through the 6th revision. This study also employes comparative research tools for the national level comparison such as USA, Japan, Taiwan, and Korea. The proposed model curriculum in this study is concluded from those step-by-step studies as follows：1) Problem definition and design in current curriculum for Vocational Home Economics high school； 2) Needs and roles analysis of Vocational Home Economics high school for the future； and 3)Historical analysis of our curriculum revisions in the past and coparative analysis with other countries. Authors conducted this research project for 3 month period from June 15, 1996 to September 15, 1996. During this period, authors collected the data and information through those method as an extensive literature review, survey and interview, and curriculum specialist conference. The key and critical features of the proposed curriculum in the study are as follows：1) In the numbers of department, a proposed model curriculum offers 8 as opposed to 6 in the 6th revision, reflecting two additional departments of “Elderly Welfare”and “Cosmotology”. 2) In the statement of educational objectives, a model curriculum emphasizes a more concrete statement to each specific skills according to the changing societal needs. 3) In the numbers of total subject matters, there would be 40 in the new as opposed to 23 in the current curriculum. Among these changes, 17 would occurr in the newly introduced subject matters, while 11 would simply change the subject matter name. Among 40 subject matter, “Introduction to Computer” and “Home Economics in Vocational Education”would be required subject matter. 4) In the total numbers of required unit for graduation in three years, a model offers 86∼132 unit. A maximum unit for each subject matter would be 12.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.3
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• pp.51-59
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• 2019

In the foreign language learning theory, self-regulated learning, subject interest, learning flow, and self-efficacy have been studied as major constructs. With the help of researches regarding these constructs, a research model was set up and the contents were analyzed through SEM analysis in order to grasp the influence of these constructs on each other. Through data collected from middle school students in Gyeongnam, the analysis result shows as follows. First, the subject interest has a positive influence on learning flow. Second, the subject interest has a positive influence on self-efficacy as well as self regulated learning. Third, learning flow has a positive effect on self-efficacy. Fourth, self regulated learning has a positive influence on self-efficacy. Fifth, self-regulated learning has a positive influence on learning flow. As is shown in the analysis, in case of English education, subject specific interest brings forth learning flow and enhances self-efficacy as well as self-regulated learning thus, leading to academic achievements.

• The korean journal of orthodontics
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• v.53 no.3
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• pp.194-204
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• 2023

Objective: To investigate sex-specific correlations between the dimensions of permanent canines and the anterior Bolton ratio and to construct a statistical model capable of identifying the sex of an unknown subject. Methods: Odontometric data were collected from 121 plaster study models derived from Caucasian orthodontic patients aged 12-17 years at the pretreatment stage by measuring the dimensions of the permanent canines and Bolton's anterior ratio. Sixteen variables were collected for each subject: 12 dimensions of the permanent canines, sex, age, anterior Bolton ratio, and Angle's classification. Data were analyzed using inferential statistics, principal component analysis, and artificial neural network modeling. Results: Sex-specific differences were identified in all odontometric variables, and an artificial neural network model was prepared that used odontometric variables for predicting the sex of the participants with an accuracy of > 80%. This model can be applied for forensic purposes, and its accuracy can be further improved by adding data collected from new subjects or adding new variables for existing subjects. The improvement in the accuracy of the model was demonstrated by an increase in the percentage of accurate predictions from 72.0-78.1% to 77.8-85.7% after the anterior Bolton ratio and age were added. Conclusions: The described artificial neural network model combines forensic dentistry and orthodontics to improve subject recognition by expanding the initial space of odontometric variables and adding orthodontic parameters.

• Communications for Statistical Applications and Methods
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• v.29 no.2
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• pp.239-250
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• 2022

In many applications, we frequently encounter correlated multiple outcomes measured on the same subject. Joint modeling of such multiple outcomes can improve efficiency of inference compared to independent modeling. For instance, in developmental toxicity studies, fetal weight and number of malformed pups are measured on the pregnant dams exposed to different levels of a toxic substance, in which the association between such outcomes should be taken into account in the model. The number of malformations may possibly have many zeros, which should be analyzed via zero-inflated count models. Motivated by applications in developmental toxicity studies, we propose a Bayesian joint modeling framework for continuous and count outcomes with excess zeros. In our model, zero-inflated Poisson (ZIP) regression model would be used to describe count data, and a subject-specific random effects would account for the correlation across the two outcomes. We implement a Bayesian approach using MCMC procedure with data augmentation method and adaptive rejection sampling. We apply our proposed model to dose-response analysis in a developmental toxicity study to estimate the benchmark dose in a risk assessment.