Counselor-oriented concept mapping for the classification of school violence in Korea

2014 ◽  
Author(s):  
Jaehwan Son ◽  
Daehyung Lee ◽  
Hyunjin Lee ◽  
Choonja Yoo ◽  
Jinsun Jeong ◽  
...  
Keyword(s):  
School Violence ◽  
Concept Mapping

scholarly journals A Counselor-Oriented Concept Mapping for the Classification of School Violence

2013 ◽  
Vol 21 (2) ◽  
pp. 317-342
Author(s):  
Son, Jaehwan ◽  
이현진 ◽  
박소영 ◽  
정진선 ◽  
김수현 ◽  
...  
Keyword(s):  
School Violence ◽  
Concept Mapping

scholarly journals Analyzing the use of linking words in concept maps designed for pathophysiology learning in medicine

2021 ◽  
Author(s):  
Nuno Neuparth ◽  
Marta Fonseca ◽  
Beatriz Oliveira ◽  
Inês Canha ◽  
Hélder Dores ◽  
...  
Keyword(s):  
Concept Mapping ◽  
Concept Maps ◽  
Clinical Case ◽  
Visual Display ◽  
Rank Test ◽  
Clinical Vignettes ◽  
Signed Rank ◽  
Signed Rank Test ◽  
The Difference

Pathophysiology at NOVA Medical School adopted the concept mapping methodology to promote the visual display of pathophysiological reasoning and learning, based on clinical vignettes. The objective of this project is to identify and label the linking words, in order to study their role in the structure and organization of the concept maps constructed by the students. We used an adopted classification of linking words, categorized in 5 groups: dynamic, static, illustrative, definition and clinical case information. At the end of the semester the concept maps related to the respiratory (mid-semester) and endocrine systems (end of semester) were analyzed and compared. We found linking words not included in any of the five categories, thus a group named “other” has been created. Statistically significant differences were found in dynamic and “other” categories (p=0,049 and p= 0,011, respectively; Wilcoxon signed-rank test). The dynamic words were the most commonly used, probably reflecting students’ need to better describe pathophysiological mechanisms, and the difference found was probably due an improvement in the learning process and concept maps building technic. It would be interesting next year to conduct a more detailed analysis, increasing the sample and ensuring a more robust dataset. 

scholarly journals INTEGRASI ILMU-ILMU KEISLAMAN DALAM PERSPEKTIF M. AMIN ABDULLAH

2014 ◽  
Vol 38 (2) ◽  
Author(s):  
Parluhutan Siregar
Keyword(s):  
Higher Education ◽  
Concept Mapping ◽  
Spider Web ◽  
Epistemology Of Science ◽  
Religious Higher Education

<p>Abstrak: Kritik terhadap pola pengembangan ilmu-ilmu Keislaman terutama pada tataran perguruan tinggi agama Islam belakangan ini banyak mendapat perhatian di Indonesia. Tulisan ini merupakan deskripsi-analitis terhadap pemikiran M. Amin Abdullah tentang integrasi ilmu-ilmu Keislaman. Penulis mengemukakan bahwa ilmu-ilmu Keislaman yang berkembang selama ini bersifat fragmentaris dan belum memiliki keterkaitan dengan isu-isu kekinian. Karena itu, diperlukan upaya membangun epistemologi keilmuan integratif-interkonektif. Penulis menemukan bahwa epistemologi keilmuan teo-antropo-sentrik-integralistik Amin Abdullah dibangun dari pengelompokan keilmuan. Teorinya dimulai dari al-Qur’an dan Sunnah, kemudian ‘Ulûm al-Dîn, al-Fikr al-Islâmy, dan Dirâsah al-Islâmiyyah. Keempat kategori keilmuan Islam tersebut dipetakan oleh Amin Abdullah ke dalam empat lingkar lapis peta konsep spider web, dengan memadukan seluruh disiplin ilmu sosial dan keagamaan vis-à-vis isu- isu kontemporer.</p><p><br />Abstract: The Integration of Islamic Sciences in the Perspective of M. Amin Abdullah. Criticism on the pattern of Islamic sciences development in Indonesia, especially at the level of Islamic religious higher education, has caught the attension of many critiques. This essay tries to analytically describe M. Amin Abdullah’s thought who promotes the concept of Islamic sciences integration. The writer maintains that Islamic sciences thus far, have still fragmentary in nature and have not yet interconnected with contemporary issues. As such, it is required to build the epistemology of integrated and interconnected science. The writer finds that theo-anthropocentric-integralistic epistemology of science of Amin Abdullah is developed against the backdrop of classification of science. His theory departs from the Qur’an and Sunnah, ‘Ulûm al-Dîn, al-Fikr al-Islâmy, and Dirâsah al-Islâmiyyah. Those categories of Islamic sciences are drawn by Amin Abdullah into four-layered concept mapping of spider web. Such epistemology combines all disciplines of social and religious sciences vis a vis contemporary issues.</p><p><br />Kata Kunci: filsafat ilmu, integrasi ilmu, kajian keislaman, M. Amin Abdullah</p>

Note on the spectral classification of carbon stars in the photographic infrared region

1966 ◽  
Vol 24 ◽  
pp. 21-23
Author(s):  
Y. Fujita
Keyword(s):  
Infrared Region ◽  
Spectral Classification ◽  
Carbon Stars

We have investigated the spectrograms (dispersion: 8Å/mm) in the photographic infrared region fromλ7500 toλ9000 of some carbon stars obtained by the coudé spectrograph of the 74-inch reflector attached to the Okayama Astrophysical Observatory. The names of the stars investigated are listed in Table 1.

Diagnostic Value of Electron Microscopy in Soft Tissue Tumors

1970 ◽  
Vol 28 ◽  
pp. 220-221
Author(s):  
Gerald Fine ◽  
Azorides R. Morales
Keyword(s):  
Cardiac Myxoma ◽  
Osteogenic Sarcoma ◽  
Diagnostic Value ◽  
Soft Tissue Tumors ◽  
Amelanotic Melanoma ◽  
Growth Patterns ◽  
Light Microscopic Level ◽  
Mesenchymal Tumors ◽  
Good Agreement

For years the separation of carcinoma and sarcoma and the subclassification of sarcomas has been based on the appearance of the tumor cells and their microscopic growth pattern and information derived from certain histochemical and special stains. Although this method of study has produced good agreement among pathologists in the separation of carcinoma from sarcoma, it has given less uniform results in the subclassification of sarcomas. There remain examples of neoplasms of different histogenesis, the classification of which is questionable because of similar cytologic and growth patterns at the light microscopic level; i.e. amelanotic melanoma versus carcinoma and occasionally sarcoma, sarcomas with an epithelial pattern of growth simulating carcinoma, histologically similar mesenchymal tumors of different histogenesis (histiocytoma versus rhabdomyosarcoma, lytic osteogenic sarcoma versus rhabdomyosarcoma), and myxomatous mesenchymal tumors of diverse histogenesis (myxoid rhabdo and liposarcomas, cardiac myxoma, myxoid neurofibroma, etc.)

Ultrastructure of mesotheliomas

1984 ◽  
Vol 42 ◽  
pp. 98-101
Author(s):  
Irving Dardick
Keyword(s):  
Electron Microscopy ◽  
Latent Period ◽  
Spindle Cell ◽  
Spindle Cell Sarcoma ◽  
Metastatic Adenocarcinoma ◽  
Cell Sarcoma ◽  
Cytological Features ◽  
Industrial Use ◽  
Degree Of Differentiation

With the extensive industrial use of asbestos in this century and the long latent period (20-50 years) between exposure and tumor presentation, the incidence of malignant mesothelioma is now increasing. Thus, surgical pathologists are more frequently faced with the dilemma of differentiating mesothelioma from metastatic adenocarcinoma and spindle-cell sarcoma involving serosal surfaces. Electron microscopy is amodality useful in clarifying this problem.In utilizing ultrastructural features in the diagnosis of mesothelioma, it is essential to appreciate that the classification of this tumor reflects a variety of morphologic forms of differing biologic behavior (Table 1). Furthermore, with the variable histology and degree of differentiation in mesotheliomas it might be expected that the ultrastructure of such tumors also reflects a range of cytological features. Such is the case.

Interpreting HVEM of muscle-cell impulse networks

1992 ◽  
Vol 50 (1) ◽  
pp. 126-127
Author(s):  
Paul DeCosta ◽  
Kyugon Cho ◽  
Stephen Shemlon ◽  
Heesung Jun ◽  
Stanley M. Dunn
Keyword(s):  
Structural Analysis ◽  
Muscle Cell ◽  
Electron Micrographs ◽  
Relative Size ◽  
Automatic Classification ◽  
Nerve Fibers ◽  
Analysis Algorithm ◽  
Structural Networks

Introduction: The analysis and interpretation of electron micrographs of cells and tissues, often requires the accurate extraction of structural networks, which either provide immediate 2D or 3D information, or from which the desired information can be inferred. The images of these structures contain lines and/or curves whose orientation, lengths, and intersections characterize the overall network.Some examples exist of studies that have been done in the analysis of networks of natural structures. In, Sebok and Roemer determine the complexity of nerve structures in an EM formed slide. Here the number of nodes that exist in the image describes how dense nerve fibers are in a particular region of the skin. Hildith proposes a network structural analysis algorithm for the automatic classification of chromosome spreads (type, relative size and orientation).

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