Two Decades of Drosophila Population Dynamics: Modeling, Experiments, and Implications

2018 ◽  
pp. 275-312 ◽  
Author(s):  
Sutirth Dey ◽  
Amitabh Joshi
Keyword(s):  
Population Dynamics ◽  
Dynamics Modeling

Population Dynamics Modeling

2009 ◽  
pp. 47-82
Author(s):  
Andrew Riddle ◽  
Grace Panter ◽  
Paul Robinson ◽  
Andrew Brown
Keyword(s):  
Population Dynamics ◽  
Dynamics Modeling

scholarly journals Parameters of ontogeny and population dynamics modeling of Panagrolaimus detritophagus (Nematoda: Rhabditida) in vitro

2021 ◽  
Vol 325 (1) ◽  
pp. 91-98
Author(s):  
K.S. Polyanina ◽  
A.Y. Ryss
Keyword(s):  
Population Dynamics ◽  
Development Time ◽  
The Body ◽  
Individual Development ◽  
Population Cycle ◽  
Developmental Cycle ◽  
Dynamics Modeling ◽  
Average Life ◽  
Average Life Span

The parameters of individual development and population cycle in in vitro nematodes Panagrolaimus detritophagus were revealed. The nematodes are bacterial feeders and commensals of the cerambycid Monochamus galloprovincialis from the pine Pinus sylvestris; nematodes use beetles as vectors. Mean development time (T) from egg to juvenile is 1–2 days for J2, 3–4 days for J3, and 4–7 days for J4; to adults (G, generation) 7 (6–8) days. In vitro the population cycle is equal to 4 generations and ends with 90% of survival juveniles (J3, day 34). In the growth phase of the population, the proportion of eggs exceeds the proportion of other stages of the developmental cycle: 39±11% for 7 days; 53±10% for 21 days. The average oviposition rate of females is 4.5±1.3/day and only 56±12% of eggs proceed to immediate development (hatching and molting of juveniles). The remaining mass of eggs enter development only after 27 days (4 individual generations). This feature may be considered as a form of delay or a brief diapause at the egg stage. Individual females may accumulate up to 4 synchronous eggs in the body and lay them simultaneously. The average life span of an adult female is 13–20 days. Formulas for the exponential growth of the number of females and the total nematode population have been developed.

VGDI – Advancing the Concept: Volunteered Geo‐Dynamic Information and its Benefits for Population Dynamics Modeling

2016 ◽  
Vol 21 (2) ◽  
pp. 253-276 ◽  
Author(s):  
Christoph Aubrecht ◽  
Dilek Özceylan Aubrecht ◽  
Joachim Ungar ◽  
Sérgio Freire ◽  
Klaus Steinnocher
Keyword(s):  
Population Dynamics ◽  
Dynamics Modeling ◽  
Dynamic Information

scholarly journals What Tumor Dynamics Modeling Can Teach us about Exploiting the Stem-Cell View for Better Cancer Treatment

2015 ◽  
Vol 14s2 ◽  
pp. CIN.S17294 ◽  
Author(s):  
Roger S. Day
Keyword(s):  
Stem Cells ◽  
Clinical Trials ◽  
Population Dynamics ◽  
Stem Cell ◽  
Cancer Stem Cells ◽  
Cancer Treatment ◽  
Tumor Development ◽  
Treatment Resistance ◽  
Dynamics Modeling ◽  
Treatment Regimens

The cancer stem cell hypothesis is that in human solid cancers, only a small proportion of the cells, the cancer stem cells (CSCs), are self-renewing; the vast majority of the cancer cells are unable to sustain tumor growth indefinitely on their own. In recent years, discoveries have led to the concentration, if not isolation, of putative CSCs. The evidence has mounted that CSCs do exist and are important. This knowledge may promote better understanding of treatment resistance, create opportunities to test agents against CSCs, and open up promise for a fresh approach to cancer treatment. The first clinical trials of new anti-CSC agents are completed, and many others follow. Excitement is mounting that this knowledge will lead to major improvements, even breakthroughs, in treating cancer. However, exploitation of this phenomenon may be more successful if informed by insights into the population dynamics of tumor development. We revive some ideas in tumor dynamics modeling to extract some guidance in designing anti-CSC treatment regimens and the clinical trials that test them.

A CYBERNETIC APPROACH TO POPULATION DYNAMICS MODELING

1979 ◽  
Vol 9 (3) ◽  
pp. 297-312 ◽  
Author(s):  
RENATO M. CAPOCELLI ◽  
LUIGI M. RICCIARDI
Keyword(s):  
Population Dynamics ◽  
Dynamics Modeling
Sign in / Sign up

Export Citation Format

Share Document