The effects of temperature and incubation period on age changes in PHA-blast-transformation of lymphocytes: Experiment and mathematical model

1978 ◽  
Vol 13 (6) ◽  
pp. 447-455 ◽  
Author(s):  
Yu.V. Pakin ◽  
V.G. Pisarenko ◽  
V.N. Starkov
Keyword(s):  
Mathematical Model ◽  
Incubation Period ◽  
Blast Transformation ◽  
Age Changes ◽  
Blast Transformation Of Lymphocytes ◽  
Effects Of Temperature

Life History, Ecological Production, and an Empirical Mathematical Model of the Population of Sagitta elegans in St. Margaret's Bay, Nova Scotia

1971 ◽  
Vol 28 (7) ◽  
pp. 971-985 ◽  
Author(s):  
D. D. Sameoto
Keyword(s):  
Mathematical Model ◽  
Life History ◽  
Nova Scotia ◽  
Reproductive Potential ◽  
The Body ◽  
Effect Of Temperature ◽  
Late Winter ◽  
Turnover Rates ◽  
Flushing Rate ◽  
Effects Of Temperature

The population of Sagitta elegans Verrill in St. Margaret's Bay, Nova Scotia, was polymodal throughout the year. The modes were distinct enough to be considered as representing subpopulations. Four subpopulations were present in the Bay during the early winter and a fifth subpopulation entered the Bay during the late winter. The growth of the subpopulations was followed through the year and related to the mean water temperature. A mathematical model describing the effect of temperature on development, length of the life cycle, and reproductive potential is presented. The model simulates the effects of temperature on the body length at maturation, ovary length, generation time, and numbers surviving at various body lengths. Predictions are made on the changes in population size due to temperature, and mortality and flushing rate changes. The calorific content of the animals at different stages of the life history are given along with the carbon content of the animals. A yearly ecological production figure is given based on the turnover rates derived from the Allen curve for one of the subpopulations. The significance of the findings is discussed in relation to the geographic distribution of the species.

scholarly journals Temperature and incubation period affect Septoria pistaciarum conidium germination: disease forecasting and validation

2021 ◽  
Vol 60 (1) ◽  
pp. 113-117
Author(s):  
Thomas THOMIDIS ◽  
Konstantinos MICHOS ◽  
Fotis CHATZIPAPADOPOULOS ◽  
Amalia TAMPAKI
Keyword(s):  
Incubation Period ◽  
Disease Severity ◽  
Leaf Spot ◽  
Disease Risk ◽  
Generic Model ◽  
High Disease Severity ◽  
Conidium Germination ◽  
Effects Of Temperature ◽  
Important Disease ◽  
Septoria Leaf Spot

Septoria leaf spot is an important disease of pistachio trees in Greece. This study aimed to determine effects of temperature and the incubation period on germination of conidia of Septoria pistaciarum, and to evaluate a generic model to forecast pistachio leaf spot under the field conditions of Aegina Island, Greece. The optimum temperature for conidium germination was 23°C, and germination was inhibited at 35 and 4°C. At constant temperature of 23°C, conidia commenced germination after 9 h. The predictive model indexed disease risk close to 100 at 10 May at two locations (Rachi Moschona and Vigla) in 2017, and first leaf spot symptoms were observed on 17 May. Moderate to high disease severity (>25% leaves infected) were observed in unsprayed trees at the end of May. In 2018, the model indexed risk close to 100 on 9 May at Rachi Moschona, and first symptoms were observed on 18 May. Moderate to high disease severity (>25% leaves infected) were observed in unsprayed trees on 25th of May. This study has shown that the forecasting model can be used in Aegina Island, Greece, to predict the severity of Septoria leaf spot of pistachio.

Blast transformation of lymphocytes in amebiasis *

1973 ◽  
Vol 22 (6) ◽  
pp. 705-710 ◽  
Author(s):  
T. Savanat ◽  
Pithaya Viriyanond ◽  
Nitaya Nimitmongkol
Keyword(s):  
Blast Transformation ◽  
Blast Transformation Of Lymphocytes

Dysentery in children with allergic reactivity

1982 ◽  
Vol 63 (4) ◽  
pp. 67-68
Author(s):  
N. A. Romanova
Keyword(s):  
Skin Test ◽  
Humoral Immunity ◽  
Clinical Course ◽  
The Body ◽  
Blast Transformation ◽  
Cellular Factors ◽  
Blast Transformation Of Lymphocytes ◽  
Increased Sensitivity ◽  
The Relationship

We tried to find out what effect the previous allergization of the body has on the relationship between allergy and immunity in children with dysentery. To solve this problem, two groups of children with dysentery were examined - with allergic (1st) and unchanged (2nd) body reactivity. In parallel to the study of the features of the clinical course of the disease, cellular factors of increased sensitivity (blast transformation of lymphocytes, leukocytolysis reaction), indicators of humoral immunity (Ig M and G) were determined and a skin test with dysenterin was performed.

scholarly journals Numerical Prediction Model for Fungal Growth Coupled with Hygrothermal Transfer in Building Materials

2011 ◽  
Vol 21 (6) ◽  
pp. 845-856 ◽  
Author(s):  
Kazuhide Ito
Keyword(s):  
Mathematical Model ◽  
Building Materials ◽  
Life Stage ◽  
Fungal Growth ◽  
Reaction Diffusion ◽  
Diffusion Modelling ◽  
Nutrient Consumption ◽  
Temperature And Humidity ◽  
Effects Of Temperature ◽  
Modelling Approach

A mathematical model that reproduces fungal proliferation and morphological colony formation was developed on the basis of a reaction diffusion modelling approach. In this modelling, fungal life stage was separated into two, active and inactive stage, and it was assumed that active fungus moves by diffusion and reaction while generating and producing inactive fungus. The effects of temperature and humidity on fungal growth were explicitly incorporated in the reaction term of nutrient consumption/production of active fungus in this governing equation. The damping function, which reproduces the effects of temperature and humidity on fungal growth, was developed and explicitly based on the fungal index proposed by K. Abe. In order to estimate the sensitivity of the proposed numerical fungal growth model, fungal growth on the surface of building materials was analysed for four types of building materials, and the prediction results were compared with the results of WUFI-Bio and the fungal index.

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