Growth Factors Affecting Normal and Malignant Prostatic Cells

1991 ◽  
pp. 167-184 ◽  
Author(s):  
John T. Isaacs ◽  
Ronald A. Morton ◽  
Paula Martikainen ◽  
William B. Isaacs
Keyword(s):  
Growth Factors ◽  
Factors Affecting

scholarly journals Factors Affecting the Commitment of Clinical Instructors of the University of Cebu College of Nursing

2020 ◽  
Author(s):  
Rosielyn D. Tan ◽  
Mauro Allan Padua Amparado
Keyword(s):  
Growth Factors ◽  
Significant Relationship ◽  
Clinical Instructors ◽  
Length Of Service ◽  
Factors Affecting ◽  
Correlational Design ◽  
Civil Status ◽  
College Of Nursing ◽  
Master Of Arts ◽  
The University

This study ascertained the level of commitment of the clinical instructors in terms of existence, relatedness, and growth factors of the University of Cebu College of Nursing for the academic year 2008-2009. Specifically, the study answered queries on the profile of the respondents with regards to age, gender, civil status, educational qualification, length of service, and employment status. It determined the relationship between profile and level of commitment in terms of existence, relatedness, and growth factors. The study also dealt with the factors that affect the respondents’ commitment.The study utilized the descriptive-correlational design. A researcher-made questionnaire was utilized, supplemented with records from the office of the University of Cebu Human Resource Department. The respondents of the study were 111 clinical instructors of the University of Cebu. Ninety of them are employees of University of Cebu Banilad while 21 are from University of Cebu Lapu-Lapu and Mandaue.Majority of the respondents were 21-26 years old, female, single, with units in Master of Nursing/Master of Arts in Nursing, and were regular non-tenured employees. Most of them have 0-5 years length of work service. The clinical instructors were committed in the aspects of existence factors (2.88), relatedness factors (3.07), and growth factors (2.86). There was a significant relationship between gender and existence factors. There was also a significant relationship between educational attainment and existence factors. Furthermore, the factors that affected commitment were salary (3.15), security of tenure (6.36), and relationship with peers (7.34).Recommended citation: Tan, Rosielyn D. & Amparado, M. A. P. (2012, August). Factors Affecting the Commitment of Clinical Instructors of the University of Cebu College of Nursing. Paper presented at the 2012 World Research Festival, Cebu City, Cebu, Philippines, 1(1), 40.

NUTRIENT REQUIREMENTS AND GROWTH CONDITIONS FOR PRODUCTION OF LACTASE ENZYME BY SACCHAROMYCES FRAGILIS1

1970 ◽  
Vol 33 (10) ◽  
pp. 451-455 ◽  
Author(s):  
W. L. Wendorff ◽  
C. H. Amundson ◽  
N. F. Olson
Keyword(s):  
Growth Factors ◽  
Cheese Whey ◽  
Corn Steep Liquor ◽  
Growth Conditions ◽  
Nutrient Requirements ◽  
Lactase Activity ◽  
Optimum Conditions ◽  
Factors Affecting ◽  
Lactose Concentration ◽  
Steep Liquor

Lactase enzyme was produced by Saccharomyces fragilis NRRL Y-1109 grown in deproteinized Cheddar cheese whey. Nutrients and growth conditions required for maximum lactase production were determined. Lactose concentration, sources of growth factors; temperature of incubation, and pH of the whey were the primary factors affecting lactase production. Increased levels of lactose in whey stimulated the yeast to produce higher levels of lactase activity per gram of dried yeast. Corn steep liquor was the best source of added growth factors. Yeast grown under optimum conditions, pH 4.0 to 4.7 and 28 C, yielded 175 units per gram of yeast and 1300 units per liter of whey.

scholarly journals Keratinocytes and Cytokine/Growth Factors

1996 ◽  
Vol 7 (4) ◽  
pp. 300-318 ◽  
Author(s):  
C. Feliciani ◽  
A.K. Gupta ◽  
D.N. Saucier
Keyword(s):  
Growth Factors ◽  
Tumor Necrosis ◽  
Signal Transduction Pathway ◽  
The Body ◽  
Cytokine Receptors ◽  
Immunoglobulin Superfamily ◽  
Target Cells ◽  
Oral Diseases ◽  
Factors Affecting ◽  
Neoplastic Processes

Cytokines are polypeptide growth factors produced by most nucleated cells in the body, including epithelial cells, keratinocytes, and Langerhans cells in the skin. Cytokines can be classified into interleukins, tumor necrosis factors, chemokines, colony-stimulating factor, interferons, and growth factors. Like classic hormones, cytokines bind to specific receptors to transmit their messages to target cells. Cytokine receptors can be divided into three cytokine receptor superfamilies: the immunoglobulin superfamily, the hematopoietin family, and the tumor necrosis factor family. Following cytokine/cytokinereceptor binding (first messenger), a signal transduction pathway is initiated. Factors affecting homeostasis in the skin and oral mucosa include a delicate balance between cytokines/cytokine-receptors and their antagonists. An imbalance in these variables can influence the development of cutaneous and oral diseases—such as lichen planus, autoimmune disorders, and some neoplastic processes—and can affect wound healing. Potential uses of cytokines include cancer and antiviral therapy.

scholarly journals Dominance and Growth Factors of Pseudanabaena sp. in Drinking Water Source Reservoirs, Southern China

2018 ◽  
Vol 10 (11) ◽  
pp. 3936 ◽  
Author(s):  
Jingsi Gao ◽  
Jia Zhu ◽  
Maowei Wang ◽  
Wenyi Dong
Keyword(s):  
Growth Factors ◽  
Light Intensity ◽  
Southern China ◽  
Phosphorus Deficiency ◽  
Oxygen Demand ◽  
Water Source ◽  
Drinking Water Source ◽  
Factors Affecting ◽  
Optimum Growth Temperature ◽  
Positive Correlations

Pseudanabaena sp. is a common and harmful species in freshwater cyanobacteria blooms. There are very few studies on its distribution characteristics and growth influencing factors. In the current study, it was found to be dominant in three cascading reservoirs in Southern China. Field observations and laboratory experiments were integrated to investigate the dominance and growth factors of Pseudanabaena sp. The effects of temperature, light intensity, nutrients, chemical oxygen demand (COD), pH, and disturbance on Pseudanabaena sp. growth were evaluated. The results indicated that Pseudanabaena sp. had significant positive correlations with water temperature, pH, and COD (p < 0.01) and a positive correlation with NH3-N (p < 0.05). The optimum growth temperature range for Pseudanabaena sp. was from 20 to 30 °C; hence, it usually has outbreaks in May and August. The optimum light intensity and pH for Pseudanabaena sp. were 27 μmol photons m−2s−1 and from 7 to 9, respectively. The superior tolerance for low light, disturbance, and phosphorus deficiency of Pseudanabaena sp. may be the main factors affecting its dominance in reservoirs. Controlling nitrogen was more effective than controlling phosphorus to avoid the risk that was brought by Pseudanabaena sp. This study contributed to the theoretical knowledge for the prediction and control of the growth of Pseudanabaena sp.

Detection and Analysis of Growth Factors Affecting Neural Cells

2003 ◽  
pp. 87-138
Author(s):  
Marston Manthorpe ◽  
Dmid Muir ◽  
Brigitte Pettmann ◽  
Sibio Varon
Keyword(s):  
Growth Factors ◽  
Neural Cells ◽  
Factors Affecting

scholarly journals Analysis of agricultural economic growth factors based on Cobb Douglas production

2020 ◽  
Vol 189 ◽  
pp. 01002
Author(s):  
You Yang ◽  
Li Yang ◽  
ShouYi Liu
Keyword(s):  
Economic Growth ◽  
Growth Factors ◽  
Agricultural Economic ◽  
Empirical Analysis ◽  
Industrial Structure ◽  
Returns To Scale ◽  
Agricultural Labor ◽  
Factors Affecting ◽  
Economic Growth Factors ◽  
The Impact

An empirical analysis of agricultural economic growth factors yields the main factors affecting agricultural economic growth. Based on the Cobb-Douglas function, a regression model is established to analyze the impact of production factors such as capital and labor on agricultural economic growth. After empirical analysis, it is concluded that investment is the main factor affecting agricultural economic growth. In some provinces, agricultural economic growth still uses extensive economic growth and belongs to the type of increasing returns to scale. Based on the results, three suggestions are made to promote the steady and rapid growth of the agricultural economy: increase the input of fixed assets in agriculture and attract capital from all walks of life to the agricultural production; optimize the agricultural labor force and increase human resources training; adjust the industrial structure and develop modern agriculture.

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