A Nonlinear Dynamic Simulation Model for Xenobiotic Transport and Whole Plant Allocation Following Foliar Application. III. Influence of Chemical Properties, Plant Characteristics, and Environmental Parameters on Xenobiotic Absorption and Translocation

2001 ◽  
Vol 71 (2) ◽  
pp. 77-87 ◽  
Author(s):  
Norbert M. Satchivi ◽  
Edward W. Stoller ◽  
Loyd M. Wax ◽  
Donald P. Briskin
2019 ◽  
pp. 45-61
Author(s):  
Vyacheslav Mikhailovich Zhukov

The computer-based dynamic simulation model (DSM) of visual and instrumental observation (VIO) of a point target by a cosmonaut using a pancratic observation device was developed. The DSM is the core model of the simulation models complex (SMC), which calculates the input parameters for it (current ballistic data of rendezvous and environmental parameters). The DSM is based on the hypothesis of the correspondence of the law of the distribution of points of staring to the normal two-dimensional law of the position of a point target in the ellipse of the probabilities of the forecasting position of a space object in orbit.


2009 ◽  
Vol 1 (1) ◽  
pp. 1320-1324 ◽  
Author(s):  
Chen Hao ◽  
Wang X. ◽  
Gu Jason J. ◽  
Peric Nedjeljko ◽  
Sun Chao

2019 ◽  
Vol 11 (6) ◽  
pp. 168781401985284
Author(s):  
Meiliang Wang ◽  
Mingjun Wang ◽  
Xiaobo Li

The use of the traditional fabric simulation model evidently shows that it cannot accurately reflect the material properties of the real fabric. This is against the background that the simulation result is artificial or an imitation, which leads to a low simulation equation. In order to solve such problems from occurring, there is need for a novel model that is designed to enhance the essential properties required for a flexible fabric, the simulation effect of the fabric, and the efficiency of simulation equation solving. Therefore, the improvement study results will offer a meaningful and practical understanding within the field of garment automation design, three-dimensional animation, virtual fitting to mention but a few.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Rafael Reuveny

Abstract Background Social science models find the ecological impacts of climate change (EICC) contribute to internal migration in developing countries and, less so, international migration. Projections expect massive climate-related migration in this century. Nascent research calls to study health, migration, population, and armed conflict potential together, accounting for EICC and other factors. System science offers a way: develop a dynamic simulation model (DSM). We aim to validate the feasibility and usefulness of a pilot DSM intended to serve as a proof-of-concept and a basis for identifying model extensions to make it less simplified and more realistic. Methods Studies have separately examined essential parts. Our DSM integrates their results and computes composites of health problems (HP), health care (HC), non-EICC environmental health problems (EP), and environmental health services (ES) by origin site and by immigrants and natives in a destination site, and conflict risk and intensity per area. The exogenous variables include composites of EICC, sociopolitical, economic, and other factors. We simulate the model for synthetic input values and conduct sensitivity analyses. Results The simulation results refer to generic origin and destination sites anywhere on Earth. The effects’ sizes are likely inaccurate from a real-world view, as our input values are synthetic. Their signs and dynamics are plausible, internally consistent, and, like the sizes, respond logically in sensitivity analyses. Climate migration may harm public health in a host area even with perfect HC/ES qualities and full access; and no HP spillovers across groups, conflict, EICC, and EP. Deviations from these conditions may worsen everyone’s health. We consider adaptation options. Conclusions This work shows we can start developing DSMs to understand climate migration and public health by examining each case with its own inputs. Validation of our pilot model suggests we can use it as intended. We lay a path to making it more realistic for policy analysis.


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