scholarly journals Solubility of cytoskeletal proteins in immunohistochemistry and the influence of fixation.

1993 ◽  
Vol 41 (4) ◽  
pp. 609-616 ◽  
Author(s):  
B M Riederer ◽  
R Porchet ◽  
R A Marugg ◽  
L I Binder
Keyword(s):  
Protein Solubility ◽  
Immunohistochemical Localization ◽  
Influential Factors ◽  
Cytoskeletal Proteins ◽  
Fixed Tissue ◽  
Aldehyde Fixation ◽  
Cat Brain ◽  
Spectrin Cytoskeleton ◽  
Cryostat Sections

For accurate and quantitative immunohistochemical localization of antigens it is crucial to know the solubility of tissue proteins and their degree of loss during processing. In this study we focused on the solubility of several cytoskeletal proteins in cat brain tissue at various ages and their loss during immunohistochemical procedures. We further examined whether fixation affected either solubility or immunocytochemical detectability of several cytoskeletal proteins. An assay was designed to measure the solubility of cytoskeletal proteins in cryostat sections. Quantity and quality of proteins lost or remaining in tissue were measured and analyzed by electrophoresis and immunoblots. Most microtubule proteins were found to be soluble in unfixed and alcohol fixed tissues. Furthermore, the microtubule proteins remaining in the tissue had a changed cellular distribution. In contrast, brain spectrin and all three neurofilament subunits were insoluble and remained in the tissue, allowing their immunocytochemical localization in alcohol-fixed tissue. Synapsin I, a protein associated with the spectrin cytoskeleton, was soluble, and aldehyde fixation is advised for its immunohistochemical localization. With aldehyde fixation, the immunoreactivity of some antibodies against neurofilament proteins was reduced in axons unveiling novel immunogenic sites in nuclei that may represent artifacts of fixation. In conclusion, protein solubility and the effects of fixation are influential factors in cytoskeletal immunohistochemistry, and should be considered before assessments for a quantitative distribution are made.

Faktor-Faktor yang Berpengaruh dalam Mendapatkan Pekerjaan bagi Lulusan Statistika IPB dengan Menggunakan Metode CHAID

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Aulia Dwi Oktavia ◽  
Aam Alamudi ◽  
Budi Susetyo
Keyword(s):  
College Graduates ◽  
Influential Factors ◽  
Classification Model ◽  
Statistical Software ◽  
Waiting Period ◽  
Level Of Education ◽  
Economic Problems ◽  
Factors Influencing

Unemployment is one of the economic problems in Indonesia. Judging from the level of education that was completed there were unemployment from the level of college graduates. This encourages the level of competition in getting jobs to be more stringent, so that college graduates (bachelor of Statistics in IPB) must have the preparation of various factors to maintain the quality of their graduates. The quality of college graduates can be seen from the length of time waiting to get a job. This study aims to determine the influential factors in getting a job for graduates of the IPB Statistics degree, so that the CHAID method can be used in this study. The results of CHAID's analysis in this study in the form of tree diagrams using α = 10% explained that the factors influencing the waiting period variables were sex, internship, and the ability to master statistical software, where the accuracy value generated by the classification model was 79.3 %.

scholarly journals Health-Related Quality of Life among Cancer Survivors Depending on the Occupational Status

2021 ◽  
Vol 18 (7) ◽  
pp. 3803
Author(s):  
Kisook Kim ◽  
Hyohyeon Yoon
Keyword(s):  
Quality Of Life ◽  
Depressive Symptoms ◽  
Cancer Survivors ◽  
Occupational Status ◽  
Influential Factors ◽  
Health Related Quality ◽  
Factors Affecting ◽  
Related Quality ◽  
Health Related

The study aimed to identify and compare the factors affecting health-related quality of life (HRQoL) depending on the occupational status of cancer survivors. This study was a secondary data analysis from the Korea National Health and Nutrition Examination Survey (KNHANES) from 2014 to 2018. Hierarchical multivariate linear regression was used to investigate the factors affecting the HRQoL of each group. Non-working cancer survivors had significantly lower HRQoL than working cancer survivors (p < 0.001). A hierarchical multiple regression model showed that demographic, health-related, and psychological characteristics explained 62.0% of non-working cancer survivors’ HRQoL (F = 4.29, p < 0.001). Among the input variables, health-related characteristics were the most influential factors (ΔR2 = 0.274, F = 9.84, p < 0.001). For working cancer survivors, health-related characteristics were the only variable that was statistically associated with HRQoL (F = 5.556, p < 0.001). It is important to enhance physical activities and manage the chronic disease to improve the HRQoL of working cancer survivors. Further, managing health-related characteristics, including depressive symptoms and suicidal ideation, is necessary for non-working cancer survivors. Regarding working survivors, psychological factors such as depressive symptoms and suicidal tendencies did not affect HRQoL. Therefore, an early and effective return to work program should be developed for the improvement of their HRQoL.

Quality of life among chronic myeloid leukemia patients in the second-line treatment with nilotinib and influential factors

2021 ◽  
Author(s):  
Cuc Thi Thu Nguyen ◽  
Binh Thanh Nguyen ◽  
Thuy Thi Thu Nguyen ◽  
Fabio Petrelli ◽  
Stefania Scuri ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Chronic Myeloid Leukemia ◽  
Myeloid Leukemia ◽  
Influential Factors ◽  
Line Treatment ◽  
Second Line

scholarly journals Living with disabling chronic pain: results from a face-to-face cross-sectional population-based study

BMJ Open ◽  
2018 ◽  
Vol 8 (11) ◽  
pp. e020913 ◽  
Author(s):  
Andrés Cabrera-León ◽  
Miguel Ángel Cantero-Braojos ◽  
Llenalia Garcia-Fernandez ◽  
Juan Antonio Guerra de Hoyos
Keyword(s):  
Quality Of Life ◽  
Chronic Pain ◽  
Social Status ◽  
Low Income ◽  
Multinomial Logistic Regression ◽  
Work Conditions ◽  
Influential Factors ◽  
Cross Sectional ◽  
Face To Face

ObjectivesTo estimate the prevalence of disabling chronic pain (DCP) in Spanish adults, to analyse its characteristics, to determine its multimorbidity and to identify its associated factors.Settings2011 Andalusian Health Survey, a cross-sectional population survey based on face-to-face home interviews.Participants6507 people aged 16 years or older and living in Andalusia, Spain.OutcomesThe response variable was disabling chronic pain. Multivariate multinomial logistic regression models were used to analyse the association of factors with disabling chronic pain. The sample design was considered throughout the statistical analysis.ResultsThe prevalence of disabling chronic pain in the Spanish adult population was 11.36% (95% CI 11.23 to 11.49), while that of non-disabling chronic pain was 5.67% (95% CI 5.57 to 5.77). Disabling chronic pain was associated with high multimorbidity (especially in women (51%) and in the elderly (70%) with three or more additional chronic diseases), as well as with disadvantaged social status (such as female gender (OR=2.12), advanced age (OR10-year increase=1.28), unemployment (OR=1.33), manual work (OR=1.26), low income (OR=1.14) and reduced emotional social support (OR=1.04)). Other influential factors were tobacco consumption (OR=1.42), sleeping ≤7 hours (OR=1.2)], environmental or work conditions (OR=1.16) and quality of life (ORmental=1.21, ORphysical=2.37).ConclusionsThe population with disabling chronic pain was associated with multimorbidity, vulnerable social status and an impaired quality of life. In contrast, the population with non-disabling chronic pain showed almost no differences when compared with the population without chronic pain. The association between DCP and mental disorders highlights the need for psychosocial services in the management of chronic pain.

scholarly journals USE PATTERN AND ACTIVITIES: THE EVALUATION OF MALAYSIAN GREEN OPEN SPACE DESIGN

2018 ◽  
Vol 16 (7) ◽  
Author(s):  
Nurhayati Abdul Malek ◽  
Amanina Nashar
Keyword(s):  
Open Space ◽  
Influential Factors ◽  
Park Use ◽  
Space Design ◽  
Outdoor Spaces ◽  
Outdoor Setting ◽  
Use Pattern ◽  
The Government ◽  
Variance Explained

Numerous studies acknowledged green open space (GOS) as part of the sustainable component which promotes livability and active community. GOS offers the opportunity for people to socialise through appropriate outdoor setting. Acknowledging countless GOS benefits, hence it appears relevant to plan for a good quality of GOS (QGOS). A QGOS ensures park users enjoy maximum utilisation and benefit of outdoor spaces. Having a good QGOS is one of the government strategies included in the 11th Malaysian Plan 2016-2020, to improve people quality of life. Numerous urban related studies had shown that proximity, use pattern, sociability, accessibility and varieties of activities are the significant factors for successful parks design with the consideration of needs and preferences of park users. Hence, this paper will focus on park use pattern to access the quality of the neighbourhood park (QNP) in Malaysia. The objectives are; i) to identify park use pattern among Malaysian, ii) to determine influential factors of Malaysian park use pattern. A quantitative method of questionnaire survey was conducted to obtain the data. Factor analysis results generated from the 1,500 respondents surveyed at 15 Malaysian neighbourhood parks indicated that nature appreciation loads the highest (Eigenvalue = 2.067, Variance Explained = 29.534%), social and active activities (Eigenvalue = 1.270, Variance Explained = 18.137%), followed by passive activities (Eigenvalue = 0.825, Variance Explained = 11.785%). Together, this finding provides essential guidance for park planners to plan for future QGOS and as part of the support to the 11th Malaysian Plan (2016-2020).

The Effect of Snow on Skis and How They Run1

2019 ◽  
pp. 33-35
Author(s):  
K. B. E. E. Eimeleus
Keyword(s):  
Thin Layer ◽  
Influential Factors ◽  
Factors Affecting ◽  
Two Factors ◽  
Time Of Year ◽  
Bad Weather ◽  
Daily Distance

This chapter shows how the quality of snow and its behavior are the most influential factors affecting a ski run. Both can change depending on the time of year and the weather. As such, a skier's speed and stamina are closely bound to these two factors. Snow and weather exert more influence than one might think: for example, in nice weather a good skier can cover from 80 to 100 versts in a day but in bad weather one's daily distance could be less. The chapter thus categorizes snow briefly as powdery, loose, granulated, thick-packed crust, thin-layer crust, floury, springtime, and waterlogged. Each of these can have varying effects on skis.

The Influential Factors of CSR and the Future of CSR in China

2018 ◽  
Vol 8 (2) ◽  
pp. 12-31 ◽  
Author(s):  
Xiaokang Li ◽  
Victor Chang
Keyword(s):  
Social Responsibility ◽  
Strong Influence ◽  
Influential Factors ◽  
External Factors ◽  
Legal Environment ◽  
Export Intensity ◽  
Chinese Enterprises ◽  
Financial Status ◽  
Innovation Capacity

This article conducts statistical analysis on the level of social responsibility of Chinese enterprises and the internal, and the external factors which influence it. The factors include the scale of enterprises, innovation capacity, export intensity, financial performance, product competitive, government intervention, and legal environment, etc. The results show that those factors, such as export behavior, innovation capacity and financial status have strong influence on the level of companies' social responsibility. Based on those results, there are some suggestions to improve the CSR in China to make citizens' quality of life better.

scholarly journals Determinants of the Quality of Life Among Elderly: Comparison Between China and India

2020 ◽  
Vol 2 (1) ◽  
pp. 71-98 ◽  
Author(s):  
Dona Ghosh ◽  
Soumyananda Dinda
Keyword(s):  
Quality Of Life ◽  
Model Identification ◽  
Influential Factors ◽  
Policy Implications ◽  
Cultural Contexts ◽  
Physiological Indicators ◽  
India And China ◽  
Socio Economic Factors

The article attempts to understand the role of various determinants of quality of life (QoL) in two different demographic and cultural contexts—India and China. Along with appropriate model identification, the study discusses the role of influential factors of the QoL of elderly individuals of the demographic giants. Findings confirm the multifactorial nature of QoL and suggest that all of the determinants do not identically influence QoL at different levels. It has been found that socio-economic factors have a stronger influence on QoL, in both the countries, than the physiological indicators. Perception regarding QoL of elderly people, in two cultural contexts, does not deviate substantially, except for gender, lower level of education, observed health measures and formal social cohesion. The analysis suggests important policy implications.

scholarly journals Numerical Modeling for Simulation of Compaction of Refractory Materials for Secondary Steelmaking

Materials ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 224 ◽  
Author(s):  
Cristina Ramírez-Aragón ◽  
Joaquín Ordieres-Meré ◽  
Fernando Alba-Elías ◽  
Ana González-Marcos
Keyword(s):  
Influential Factors ◽  
Maximum Force ◽  
Refractory Materials ◽  
Cohesion Energy ◽  
Final Shape ◽  
A Value ◽  
Starting Point ◽  
Two Factors ◽  
Contact Models

The purpose of this work is to simulate the powder compaction of refractory materials, using the discrete element method (DEM). The capability of two cohesive contact models, implemented in different DEM packages, to simulate the compaction of a mixture of two refractory materials (dead burnt magnesia (MgO) and calcined alumina (Al2O3)) was analyzed, and the simulation results were compared with experimental data. The maximum force applied by the punch and the porosity and final shape quality of the compact were examined. As a starting point, the influence of Young’s modulus (E), the cohesion energy density (CED), and the diameter of the Al2O3 particles (D) on the results was analyzed. This analysis allowed to distinguish that E and CED were the most influential factors. Therefore, a more extensive examination of these two factors was performed afterward, using a fixed value of D. The analysis of the combined effect of these factors made it possible to calibrate the DEM models, and consequently, after this calibration, the compacts had an adequate final shape quality and the maximum force applied in the simulations matched with the experimental one. However, the porosity of the simulated compacts was higher than that of the real ones. To reduce the porosity of the compacts, lower values of D were also modeled. Consequently, the relative deviation of the porosity was reduced from 40–50% to 20%, using a value of D equal to 0.15 mm.

Sign in / Sign up

Export Citation Format

Share Document