scholarly journals Fixed Forms of Behavior as Excessively Rigid Behavior in Normal and Pathological Individual and Group Systems

2021 ◽  
Vol 14 (1) ◽  
pp. 3-11
Author(s):  
Genrikh V. Zalevskii
Keyword(s):  
Experimental Data ◽  
Broad Spectrum ◽  
Healthy Subjects ◽  
Cognitive System ◽  
Cultural Norms ◽  
Literature Analysis ◽  
Network Approach ◽  
Rigid System ◽  
Mental Patients ◽  
Structural Relations

Background. !is article is devoted to the problem of excessively rigid behavior, which the author has named “"xed forms of behavior” (FFB). !is term was suggested to me by the concepts of P. Janet (idée !xe), S. Freud (Fixierung), and D. Uznadze (!ksirovanaya ustanovka — "xed set/attitude). By FFB, the author understands a broad spectrum of behaviors of a person or a group of people, which, according to the cultural norms of a given society for persons of a certain age, gender, and status, have become inappropriate, yet are repeated in situations objectively requiring that they change; the degree of realization and acceptance of the need for this change can vary. Results. !rough literature analysis and the collection of experimental data over many years of research, in which over 1,150 persons took part — 550 healthy subjects and 600 mental patients from a broad spectrum — and on the basis of a biopsychosocionoetic model of the nature of man and his health, and a system-network approach, it has become possible to distinguish the following models to explain the nature of "xed forms of behavior: neurodynamic, energy-economic, phylogenetic, personenvironment relationship, dispositional, stressogenic, pathogenic, psychodynamic, learning (behavioral-cognitive), system (an excessively rigid system and structural relations between levels of action).

A fuzzy neural network approach for modeling the growth kinetics of FeB and Fe2B layers during the boronizing process

2018 ◽  
Vol 106 (6) ◽  
pp. 603 ◽  
Author(s):  
Bendaoud Mebarek ◽  
Mourad Keddam
Keyword(s):  
Neural Network ◽  
Experimental Data ◽  
Fuzzy Neural Network ◽  
Treatment Time ◽  
Calculation Model ◽  
Average Error ◽  
Network Approach ◽  
Neural Network Approach ◽  
Fuzzy Neural ◽  
Kinetics Of

In this paper, we develop a boronizing process simulation model based on fuzzy neural network (FNN) approach for estimating the thickness of the FeB and Fe2B layers. The model represents a synthesis of two artificial intelligence techniques; the fuzzy logic and the neural network. Characteristics of the fuzzy neural network approach for the modelling of boronizing process are presented in this study. In order to validate the results of our calculation model, we have used the learning base of experimental data of the powder-pack boronizing of Fe-15Cr alloy in the temperature range from 800 to 1050 °C and for a treatment time ranging from 0.5 to 12 h. The obtained results show that it is possible to estimate the influence of different process parameters. Comparing the results obtained by the artificial neural network to experimental data, the average error generated from the fuzzy neural network was 3% for the FeB layer and 3.5% for the Fe2B layer. The results obtained from the fuzzy neural network approach are in agreement with the experimental data. Finally, the utilization of fuzzy neural network approach is well adapted for the boronizing kinetics of Fe-15Cr alloy.

A RBF Neural Network Approach for Fitting Creep Curve of Sandstone

2010 ◽  
Vol 171-172 ◽  
pp. 274-277
Author(s):  
Yun Liang Tan ◽  
Ze Zhang
Keyword(s):  
Neural Network ◽  
Experimental Data ◽  
Creep Curve ◽  
Bp Neural Network ◽  
Rbf Neural Network ◽  
Reference Value ◽  
Network Approach ◽  
Neural Network Approach ◽  
Training Time ◽  
Set Up

In order to quest an effective approach for predicate the rheologic deformation of sandstone based on some experimental data, an improved approaching model of RBF neural network was set up. The results show, the training time of improved RBF neural network is only about 10 percent of that of the BP neural network; the improved RBF neural network has a high predicating accuracy, the average relative predication error is only 7.9%. It has a reference value for the similar rock mechanics problem.

Identification of the hemoglobin scavenger receptor/CD163 as a natural soluble protein in plasma

Blood ◽  
2002 ◽  
Vol 99 (1) ◽  
pp. 378-380 ◽  
Author(s):  
Holger Jon Møller ◽  
Niels Anker Peterslund ◽  
Jonas Heilskov Graversen ◽  
Søren Kragh Moestrup
Keyword(s):  
Electrophoretic Mobility ◽  
Immunosorbent Assay ◽  
Broad Spectrum ◽  
Interleukin 6 ◽  
Soluble Protein ◽  
Healthy Subjects ◽  
Scavenger Receptor ◽  
Enzyme Linked Immunosorbent Assay ◽  
Myelomonocytic Leukemia ◽  
Healthy Persons

The hemoglobin scavenger receptor (HbSR/CD163) is an interleukin-6– and glucocorticoid-regulated macrophage/monocyte receptor for uptake of haptoglobin-hemoglobin complexes. Moreover, there are strong indications that HbSR serves an anti-inflammatory function. Immunoprecipitation and immunoblotting enabled identification of a soluble plasma form of HbSR (sHbSR) having an electrophoretic mobility equal to that of recombinant HbSR consisting of the extracellular domain (scavenger receptor cysteine-rich 1-9). A sandwich enzyme-linked immunosorbent assay was established and used to measure the sHbSR level in 130 healthy subjects (median, 1.87 mg/L; range, 0.73-4.69 mg/L). To evaluate the sHbSR levels in conditions with increased leukocyte stimulation and proliferation, 140 patients admitted to a hematological department were screened. Several patients, with a broad spectrum of diagnoses, had a level of sHbSR above the range of healthy persons. Patients with myelomonocytic leukemias and pneumonia/sepsis exhibited the highest levels (up to 67.3 mg/L). In conclusion, sHbSR is an abundant plasma protein potentially valuable in monitoring patients with infections and myelomonocytic leukemia.

scholarly journals Intramuscular and intravenous pharmacokinetics of cefmenoxime, a new broad-spectrum cephalosporin, in healthy subjects.

1982 ◽  
Vol 21 (1) ◽  
pp. 141-145 ◽  
Author(s):  
G R Granneman ◽  
L T Sennello ◽  
F J Steinberg ◽  
R C Sonders
Keyword(s):  
Broad Spectrum ◽  
Healthy Subjects

The Role of Innovation in Sustainable Entrepreneurship

2020 ◽  
pp. 1-27
Author(s):  
Eduardo Terán-Yépez ◽  
Gema M. Marín-Carrillo ◽  
M. Pilar Casado-Belmonte ◽  
María de las Mercedes Capobianco-Uriarte
Keyword(s):  
Literature Review ◽  
Current Literature ◽  
Broad Spectrum ◽  
Implementation Process ◽  
Clear Understanding ◽  
Literature Analysis ◽  
Innovation Implementation ◽  
Sustainable Entrepreneurship ◽  
Dynamic Framework

Literature argues that innovation has an inherent and critical relevance in sustainable entrepreneurship (SE). However, due to the variety of innovation types and the broad spectrum covered by this concept, there is not a clear understanding of which roles innovation plays in SE. To address the limitations of current literature, the main objective of this chapter is to conduct a literature review on underlying the roles of innovation in SE. The literature analysis reveals seven different roles that innovation adopts in SE and that those have seldom been related to each other. This chapter closes this gap by discussing and suggesting an integrative and dynamic framework of how these roles possess parallel ways, superpose, and influence one another, suggesting that SE actually is about a multi-innovation implementation process.

The Use of 81mKr Gas for the Measurement of Absolute Regional Lung Ventilation

1977 ◽  
Vol 16 (01) ◽  
pp. 13-17 ◽  
Author(s):  
Ž. Bajzer ◽  
Š. Spaventi ◽  
J. Nosil
Keyword(s):  
Experimental Data ◽  
Respiratory System ◽  
Healthy Subjects ◽  
Gamma Camera ◽  
Lung Ventilation ◽  
Lung Model ◽  
Regional Ventilation ◽  
Scintillation Gamma ◽  
Regional Lung ◽  
Regional Lung Ventilation

SummaryIn this paper a new method of using 81mKr for the measurement of specific absolute regional lung ventilation is described. Experimental data suitable for the calculation of quantitative regional ventilation are provided using an adequate respiratory system for 81mKr dosage and a scintillation gamma camera interfaced to a digital computer.A simple mathematical lung model for the inhalation of 81mKr is used to determine the specific ventilation and the parameters proportional to the ventilation for the whole lung and different lung regions in patients and in healthy subjects.The lung count rate for a given region correlated well with the ventilation of that region. Clinical examples are given and discussed.

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