Normative Collective Behavior: A Classification of Societal Norms

1941 ◽  
Vol 47 (1) ◽  
pp. 24-38
Author(s):  
Jessie Bernard
Keyword(s):  
Collective Behavior ◽  
Societal Norms

scholarly journals Prevalence of burnout in soccer athletes of the sub-20 category along a sports season

2020 ◽  
Vol 31 (1) ◽  
Author(s):  
Camila Cristina Fonseca Bicalho ◽  
Israel Teoldo da Costa ◽  
Franco Noce ◽  
Varley Teoldo Costa
Keyword(s):  
Collective Behavior ◽  
Training Period ◽  
Reference Table ◽  
Brazilian Version ◽  
The Individual ◽  
High Level

The aimed of the study were: (a) to construct a reference table for burnout in soccer athletes of the U-20 category and (b) to verify the individual oscillations in the perception of these athletes in relation to burnout over three periods of the sports season. The 53 sub-20 soccer athletes participated. The Atlhete Burnout Questionnaire, brazilian version, was applied to athletes during training, competition and vacation periods of the sports season. A reference table was built for under-20 soccer athletes for each assessed period. Fluctuations were found in the average values of the total burnout frequency of the athletes during the 3 periods: training (=1.35 ± 0.13 and =2.11 ± 0.19), competition (=1.26 ± 0.13 and =2.27 ± 0.24) and vacation (=1.27 ± 0.14 and = 2.18 ± 0.28) Based on this table and the individual classification of each athlete, it was observed that 32 athletes presented fluctuations in the perception of burnout during the sports season and 21 athletes did not show fluctuations in feelings of burnout during the three evaluation periods. The period with the highest number of athletes (n = 17) with a high level of burnout was the training period. It is concluded that it is not possible to establish a single and collective behavior regarding the fluctuations of burnout levels in athletes of the U-20 category during a sports season, and that the category reference table contributes to a greater accuracy of the burnout evaluation in every season.

The classification of collective behavior.

2006 ◽  
pp. 43-60
Author(s):  
Richard T. LaPiere
Keyword(s):  
Collective Behavior

scholarly journals ANALYSIS OF THE PHENOMENON OF SPECULATIVE TRADING IN ONE OF ITS BASIC MANIFESTATIONS: POSTAGE STAMP BUBBLES

1999 ◽  
Vol 10 (06) ◽  
pp. 1099-1116 ◽  
Author(s):  
B. ROEHNER ◽  
D. SORNETTE
Keyword(s):  
Collective Behavior ◽  
Postage Stamp ◽  
Financial Trading ◽  
Speculative Trading ◽  
Speculative Behavior ◽  
Two Parameters

We document and analyze the empirical facts concerning one of the clearest evidence of speculation in financial trading as observed in the postage collection stamp market. We unravel some of the mechanisms of speculative behavior which emphasize the role of fancy and collective behavior. In our conclusion, we propose a classification of speculative markets based on two parameters, namely the amplitude of the price peak and a second parameter that measures its "sharpness". This study is offered to anchor modeling efforts to realistic market constraints and observations.

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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