Foraging ranges of penguins

Polar Record ◽  
1989 ◽  
Vol 25 (155) ◽  
pp. 303-308 ◽  
Author(s):  
Rory P. Wilson ◽  
Ken A. Nagy ◽  
Bryan S. Obst
Keyword(s):  
Simple Model ◽  
Range Limits ◽  
Published Data ◽  
Pygoscelis Adeliae ◽  
Model Based ◽  
Foraging Ranges

abstractSpeed/distance meters were deployed on adeliée, gentoo and chinstrap penguinsPygoscelis adeliae, P. papua and P. antarctica, breeding near Anvers Island, Antarctica. Underwater speeds and distances travelled were interspecifically very similar (means of ca. 7–8 km h-1and 15–45 km, respectively). These results are compared with published data on penguin behaviour at sea obtained by using identical methodology. A simple model, based on penguin activity at sea data, is developed to derive range limits for penguins. Derived range limits are substantially lower than previous estimates but accord well with distributional data obtained by transects.

Heterogeneity and the modelling of bacterial spore death: the case of continuously decreasing death rate

1977 ◽  
Vol 23 (11) ◽  
pp. 1501-1507 ◽  
Author(s):  
Ken Sharpe ◽  
Roger M. Bektash
Keyword(s):  
Heat Resistance ◽  
Death Rate ◽  
Bacterial Spore ◽  
Bacterial Spores ◽  
Heating Process ◽  
Published Data ◽  
Model Based

Models for the inactivation of bacterial spores for the case of continuously decreasing death rate are reviewed and extended to show that it is not possible to distinguish between one particular model based upon the innate heterogeneity of the population and that based upon the acquisition of heat resistance during the heating process. Two innate heterogeneity models have been fitted to published data.

A numerical and experimental study of a simple model-based predictive control strategy in a perimeter zone with phase change material

2018 ◽  
Vol 24 (9) ◽  
pp. 933-944 ◽  
Author(s):  
Anastasios C. Papachristou ◽  
Charalampos A. Vallianos ◽  
Vasken Dermardiros ◽  
Andreas K. Athienitis ◽  
JosÉ A. Candanedo
Keyword(s):  
Experimental Study ◽  
Simple Model ◽  
Phase Change ◽  
Phase Change Material ◽  
Predictive Control ◽  
Control Strategy ◽  
Model Based ◽  
Change Material

scholarly journals Learning to Coordinate Efficiently: A Model-based Approach

2003 ◽  
Vol 19 ◽  
pp. 11-23 ◽  
Author(s):  
R. I. Brafman ◽  
M. Tennenholtz
Keyword(s):  
Reinforcement Learning ◽  
Simple Model ◽  
Stochastic Games ◽  
Convergence Rates ◽  
Learning Algorithms ◽  
Common Interest ◽  
Model Based ◽  
Optimal Value ◽  
To Receive

In common-interest stochastic games all players receive an identical payoff. Players participating in such games must learn to coordinate with each other in order to receive the highest-possible value. A number of reinforcement learning algorithms have been proposed for this problem, and some have been shown to converge to good solutions in the limit. In this paper we show that using very simple model-based algorithms, much better (i.e., polynomial) convergence rates can be attained. Moreover, our model-based algorithms are guaranteed to converge to the optimal value, unlike many of the existing algorithms.

scholarly journals The Effect of a Close Binary Companion on a Nova Outburst

1979 ◽  
Vol 53 ◽  
pp. 531-531
Author(s):  
Jim MacDonald
Keyword(s):  
Simple Model ◽  
White Dwarf ◽  
Energy Generation ◽  
Close Binary ◽  
Additional Energy ◽  
Model Based ◽  
Hydrodynamic Calculations ◽  
Cno Abundances ◽  
Nova Outburst

We compare two hydrodynamic calculations of thermonuclear runaways in material accreted by a 1M⊙ white dwarf of initial luminosity 10−3L⊙. In both cases the CNO abundances are taken to be near solar (ZCNO = 0.014). The only difference between the calculations is that in one sequence of models (seq.B) the additional energy generation due to the interaction between the expanding nova envelope and a close red dwarf companion is allowed for, using a simple model based on that of Paczynski (1976).

The dynamics of language

1999 ◽  
Vol 22 (2) ◽  
pp. 284-285
Author(s):  
Peter W. Culicover ◽  
Andrzej Nowak
Keyword(s):  
Phase Space ◽  
Dynamical Systems ◽  
Simple Model ◽  
Syntactic Structure ◽  
Neural Assemblies ◽  
Systems Perspective ◽  
Model Based ◽  
Associative Structures

To deal with syntactic structure, one needs to go beyond a simple model based on associative structures, and to adopt a dynamical systems perspective, where each phrase and sentence of a language is represented as a trajectory in a syntactic phase space. Neural assemblies could possibly be used to produce dynamics that in principle could handle syntax along these lines.

scholarly journals Phenomenological Explanation of Elastic Anomalies in Superlattices

1993 ◽  
Vol 308 ◽  
Author(s):  
M. Grimsditch ◽  
Eric E. Fullerton ◽  
Ivan K. Schuller
Keyword(s):  
Simple Model ◽  
Structural Properties ◽  
Hard Spheres ◽  
Experimental Fact ◽  
Strongly Correlated ◽  
Model Based ◽  
Elastic Anomalies

ABSTRACTThe experimental fact that measured elastic and structural properties of superlattices are strongly correlated can be understood on the basis of a simple model based on the packing of hard spheres. The model is consistent with features of many models that have been proposed to explain the supermodulus effect, but contrary to previous explanations, it allows predictions for a given pair of constituents to be made. For an arbitrary pair of elements, it predicts the existence or non-existence of an elastic anomaly, and a rough estimate of its magnitude.

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