Evaluation of attitudes and opinions of medical faculty students against the use of cadaver in anatomy education and investigation of the factors affecting their emotional responses related thereto

2020 ◽  
Author(s):  
İlhan Bahşi ◽  
Zehra Topal ◽  
Murat Çetkin ◽  
Mustafa Orhan ◽  
Piraye Kervancıoğlu ◽  
...  
Keyword(s):  
Emotional Responses ◽  
Medical Faculty ◽  
Anatomy Education ◽  
Factors Affecting

scholarly journals Factors affecting career choice of students in a medical faculty

2022 ◽  
Vol 15 (1) ◽  
pp. 5-5
Author(s):  
Sibel ÖNER YALÇIN ◽  
Nevzat Atalay ÇELİKYÜREK ◽  
Hande ŞENOL ◽  
Kamil Fatih TÜRKER ◽  
Okan YAVUZ ◽  
...  
Keyword(s):  
Career Choice ◽  
Medical Faculty ◽  
Factors Affecting

Factors Affecting Emotional Responses in Mobile Phone Design Evaluation

2006 ◽  
Vol 50 (18) ◽  
pp. 2173-2177
Author(s):  
Rosemary R. Seva ◽  
Henry Been-Lirn Duh ◽  
Martin G. Helander
Keyword(s):  
Mobile Phone ◽  
Emotional Responses ◽  
Design Evaluation ◽  
Factors Affecting

Factors affecting emotional responses in mobile phone design evaluation

2006 ◽  
Author(s):  
Rosemary R. Seva ◽  
Henry Been-Lirn Duh ◽  
Martin G. Helander
Keyword(s):  
Mobile Phone ◽  
Emotional Responses ◽  
Design Evaluation ◽  
Factors Affecting

Factors Affecting the Relationship Between Stress and Anxiety in Critically Ill Patients: A Partial Least Squares Structural Equation Modeling Approach

2021 ◽  
pp. 105477382110623
Author(s):  
Chun-Ying Shih ◽  
Hsiang-Chu Pai
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Emotional Responses ◽  
Equation Modeling ◽  
Illness Representation ◽  
Apache Score ◽  
Treatment Control ◽  
Icu Patients ◽  
Factors Affecting ◽  
The Relationship

This study aimed to examine the factors affecting the relationship between stress and anxiety in critically ill patients. A cross-sectional research paradigm was employed to enroll patients admitted to the medical intensive care unit (ICU) of a medical university hospital. Partial least squares structural equation modeling (PLS-SEM) was used to examine the data. A total of 90 ICU patients were included in this study; 56 were men and 34 were women. The patients’ mean age was 65.3 years. Only the emotional responses dimension of illness was significantly positively correlated with stress. However, the emotional responses dimension of illness representation, acute physiology and chronic health evaluation system (APACHE) score, age, and education level were significantly positively correlated with anxiety. Nevertheless, treatment control was significantly negatively correlated with anxiety. Overall, illness representations (emotional responses and treatment control), APACHE score, age, and education were important predictors of anxiety, with an explanatory power of 37.9%. We recommend that for clinically relevant practice, besides focusing on ICU patients’ illness representation, attention should also be paid to their individual characteristics, such as differences in age and education levels.

Progress In The Practical Application Of Automated Image Analysis To Tem Negatives

1977 ◽  
Vol 35 ◽  
pp. 214-217
Author(s):  
F. A. Heckman ◽  
E. Redman ◽  
J.E. Connolly
Keyword(s):  
Image Analysis ◽  
Image Quality ◽  
Exposure Time ◽  
Image Contrast ◽  
Automated Image Analysis ◽  
Practical Application ◽  
Factors Affecting ◽  
High Image Quality ◽  
Qualitative Evidence ◽  
Comprehensive Study

In our initial publication on this subject1) we reported results demonstrating that contrast is the most important factor in producing the high image quality required for reliable image analysis. We also listed the factors which enhance contrast in order of the experimentally determined magnitude of their effect. The two most powerful factors affecting image contrast attainable with sheet film are beam intensity and KV. At that time we had only qualitative evidence for the ranking of enhancing factors. Later we carried out the densitometric measurements which led to the results outlined below.Meaningful evaluations of the cause-effect relationships among the considerable number of variables in preparing EM negatives depend on doing things in a systematic way, varying only one parameter at a time. Unless otherwise noted, we adhered to the following procedure evolved during our comprehensive study:Philips EM-300; 30μ objective aperature; magnification 7000- 12000X, exposure time 1 second, anti-contamination device operating.

Factors affecting microstructural scale in liquid crystalline polymers

1990 ◽  
Vol 48 (4) ◽  
pp. 220-221
Author(s):  
Christine M. Dannels ◽  
Christopher Viney
Keyword(s):  
Liquid Crystalline ◽  
Liquid Crystalline Polymers ◽  
Factors Affecting ◽  
Crystalline Polymers ◽  
Thermal Expansion Coefficients ◽  
Low Thermal Expansion ◽  
Lower Viscosity ◽  
Fine Microstructure ◽  
Planar Orientation ◽  
Strength And Stiffness

Processing polymers from the liquid crystalline state offers several advantages compared to processing from conventional fluids. These include: better axial strength and stiffness in fibers, better planar orientation in films, lower viscosity during processing, low solidification shrinkage of injection moldings (thermotropic processing), and low thermal expansion coefficients. However, the compressive strength of the solid is disappointing. Previous efforts to improve this property have focussed on synthesizing stiffer molecules. The effect of microstructural scale has been overlooked, even though its relevance to the mechanical and physical properties of more traditional materials is well established. By analogy with the behavior of metals and ceramics, one would expect a fine microstructure (i..e. a high density of orientational defects) to be desirable.Also, because much microstructural detail in liquid crystalline polymers occurs on a scale close to the wavelength of light, light is scattered on passing through these materials.

Factors affecting dentist participation in a state Medicaid program

1990 ◽  
Vol 54 (11) ◽  
pp. 638-643 ◽  
Author(s):  
PC Damiano ◽  
ER Brown ◽  
JD Johnson ◽  
JP Scheetz
Keyword(s):  
Medicaid Program ◽  
Factors Affecting
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