Integration of marine food chain model POSEIDON in JRODOS and
... good agreement between simulated and measured 137Cs concentrations in water (Figure 2a), bottom sediments (Figure 2b) demersal fish (Figure 2c) and coastal predators (Figure 2d). The comparison in this figure comes from a coastal box with a circular-shaped surface area and a radius of 15 km around the ...
... good agreement between simulated and measured 137Cs concentrations in water (Figure 2a), bottom sediments (Figure 2b) demersal fish (Figure 2c) and coastal predators (Figure 2d). The comparison in this figure comes from a coastal box with a circular-shaped surface area and a radius of 15 km around the ...
5NFB7A – 5NFB7B
... 5.NF.B.7.B Interpret division of a whole number by a unit fraction, and compute such quotients. For example, create a story context for 4 ÷ (1/5), and use a visual fraction model to show the quotient. Use the relationship between multiplication and division to explain that 4 ÷ (1/5) = 20 because 20 ...
... 5.NF.B.7.B Interpret division of a whole number by a unit fraction, and compute such quotients. For example, create a story context for 4 ÷ (1/5), and use a visual fraction model to show the quotient. Use the relationship between multiplication and division to explain that 4 ÷ (1/5) = 20 because 20 ...
Intro to (psycho)linguistics and n-gram models
... • P(see) and P(you) are both high, but see nearly always follows you. So P(see|novel) should be much lower than P(you|novel). • Bayesian prediction: αk is related to the number of distinct contexts where wk appears. ...
... • P(see) and P(you) are both high, but see nearly always follows you. So P(see|novel) should be much lower than P(you|novel). • Bayesian prediction: αk is related to the number of distinct contexts where wk appears. ...
Supplementary Text 1
... form, which has greater advantages for algebraic analyses about the steady state that are only of secondary importance here. ...
... form, which has greater advantages for algebraic analyses about the steady state that are only of secondary importance here. ...
Y - Andreas Hess
... Estimating the optimistic bias • We can also estimate the error on the training set and subtract an estimated bias afterwards. • Roughly, there exist two methods to estimate an optimistic bias: a) Look at the model’s complexity e.g. the number of parameters in a generalized linear model (AIC, BIC) ...
... Estimating the optimistic bias • We can also estimate the error on the training set and subtract an estimated bias afterwards. • Roughly, there exist two methods to estimate an optimistic bias: a) Look at the model’s complexity e.g. the number of parameters in a generalized linear model (AIC, BIC) ...
Lecture 1 () - Strongly Correlated Systems
... The generation of good pseudo random numbers is a quite delicate issue which requires some care and extensive quality check. It is therefore highly recommended not to invent ones secret recursion rules but to use one of the well-known generators which have been tested by many other workers in the f ...
... The generation of good pseudo random numbers is a quite delicate issue which requires some care and extensive quality check. It is therefore highly recommended not to invent ones secret recursion rules but to use one of the well-known generators which have been tested by many other workers in the f ...
doc - RPI
... source or by way of an insecure network is not accepted until the proofs it carries are checked. Musser suggests that generic code-carrying proofs can be sent, in which the code is only implicitly present in the form of the proofs but can be easily extracted at the consumer end after the proofs are ...
... source or by way of an insecure network is not accepted until the proofs it carries are checked. Musser suggests that generic code-carrying proofs can be sent, in which the code is only implicitly present in the form of the proofs but can be easily extracted at the consumer end after the proofs are ...
1. How many molecules are in the asymmetric unit of the NP4 crystal
... 4. Examine the loops near the heme distal pocket. Are they the same or different in NP4? Justify your answer. Both loop regions look poor in the map but a second position is suggested by unoccupied density. For example, near the A-B loop (residues 31-37, see fig.), there is positive density closer ...
... 4. Examine the loops near the heme distal pocket. Are they the same or different in NP4? Justify your answer. Both loop regions look poor in the map but a second position is suggested by unoccupied density. For example, near the A-B loop (residues 31-37, see fig.), there is positive density closer ...
Computer simulation
A computer simulation is a simulation, run on a single computer, or a network of computers, to reproduce behavior of a system. The simulation uses an abstract model (a computer model, or a computational model) to simulate the system. Computer simulations have become a useful part of mathematical modeling of many natural systems in physics (computational physics), astrophysics, climatology, chemistry and biology, human systems in economics, psychology, social science, and engineering. Simulation of a system is represented as the running of the system's model. It can be used to explore and gain new insights into new technology and to estimate the performance of systems too complex for analytical solutions.Computer simulations vary from computer programs that run a few minutes to network-based groups of computers running for hours to ongoing simulations that run for days. The scale of events being simulated by computer simulations has far exceeded anything possible (or perhaps even imaginable) using traditional paper-and-pencil mathematical modeling. Over 10 years ago, a desert-battle simulation of one force invading another involved the modeling of 66,239 tanks, trucks and other vehicles on simulated terrain around Kuwait, using multiple supercomputers in the DoD High Performance Computer Modernization ProgramOther examples include a 1-billion-atom model of material deformation; a 2.64-million-atom model of the complex maker of protein in all organisms, a ribosome, in 2005;a complete simulation of the life cycle of Mycoplasma genitalium in 2012; and the Blue Brain project at EPFL (Switzerland), begun in May 2005 to create the first computer simulation of the entire human brain, right down to the molecular level.Because of the computational cost of simulation, computer experiments are used to perform inference such as uncertainty quantification.