Simplified Analysis Models for the Multi-
A Simplified Approach to Analyzing Multi regional Core Periphery Models
... on multi-regional CP models in the last decade? This seems to be a direct result of technical difficulties that inevitably arise in examining the properties of the multi-regional CP ...the ...
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Modeling and simulation of blood flow analysis on simplified aneurysm models
... flow analysis using simplified aneurysm models to perform early prediction on the geometrical effects of ...three simplified models of aneurysms reconstructed using Solidworks 2019, in ...
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Next-to-simplified dark matter models
... present analysis can be thus considered as the study of a portion of the parameter space of the theory, but of course the remaining regions are also interesting and would require a specific ...
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Analysis of a simplified calibration procedure for 18 design-phase building energy models
... quality models and calibrations would help project teams uncover more operational problems like these, but at an increased ...quality models and calibrations may have uncovered more building problems and ...
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Algorithms for Playing Multi-player Simplified Poker
... behavior analysis is about losing in a showdown (comparing cards at the end of the game) or by folding hand (where cards are not shown and the folding player automatically ...
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Reconstruction & interaction with 3D simplified bone models
... bone models reconstructed from medical images are fundamental for bio- medical ...labelled models without outliers in order to improve the ...of simplified 3D bone models, but also the ...
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Simplified models for dark matter searches at the LHC
... plified models of DM and their interactions with the ...the simplified models to be implemented in future searches for DM at the ...of models discussed includes spin-0 and spin-1 s-channel ...
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Simplified models for dark matter searches at the LHC.
... Marie-Helene and Gouskos, Loukas and Gramling, Johanna and Haisch, Ulrich and Harnik, Roni and Hibbs, Anthony and Hoh, Siewyan and Hopkins, Walter and Ippolito, Valerio and Jacques, Thomas and Kahlhoefer, Felix and ...
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Determination of Insurance Policy Using Neural Networks and Simplified Models with Factor Analysis Technique
... solving uncertainty problems using fuzzy inference process. Membership functions are used to represent these uncertainty situations. The think processes are then expressed in fuzzy rules. In general, there are three ...
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Essays on multi-sector macroeconomic models for policy analysis
... does not create big allocative distortions between non-housing durables and nondurables whereas it might create them between housing and non-housing goods. The second chapter of the thesis, Sectoral Labor Mobility and ...
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Derivation and analysis of simplified filters
... these simplified filters, and to suggest modifications of them which lead to improved filtering in certain time-scale ...switching models haven been demonstrated to provide an excellent surrogate test-bed ...
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A Simplified Guide To Fingerprint Analysis
... Normally, the individual that issued the laboratory report would serve as the expert at court. By issuing a report, that individual takes responsibility for the analysis. This person could be a supervisor or ...
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Simplified Multi-Stage and Per Capita Convergence: an analysis of two climate regimes for differentiation of commitments
... A similar sensitivity analysis has been done for the S650e profile (Figure 4.4). In general, the results are fairly robust in the short term, since changing the participation thresholds or transition constant has ...
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Simplified Expressions of the Multi-Indexed Laguerre and Jacobi Polynomials
... The multi-indexed Laguerre and Jacobi polynomials form a complete set of or- thogonal ...The multi-indexed Laguerre and Jacobi polynomials have Wronskian expressions originating from multiple Darboux trans- ...
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How Good Are Simplified Models for Protein Structure Prediction?
... 4.2. Effectiveness of Energy Models in Search Guidance. Ab initio search based PSP algorithms usually minimize a given energy function. The prior assumption is that if the energy model is effective, then the ...
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Development of sets of simplified building models for building simulation
... of simplified building models suitable to have statistically significant ...the analysis of TRNSYS and EnergyPlus discrepancies in monthly energy needs, hourly peak loads and time of occurrences of ...
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Probing protein structural dynamics using simplified models
... the native structure by chance is less than 7x10 -5 . It is statistically significant to conclude that a structural ensemble satisfying 70% native contacts is close to the native structure. The current study focuses on ...
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Simplified stochastic soil moisture models: a look at infiltration
... two models are in the representation of rainfall and infiltration. For models using the saturation deficit approach it is not necessary (at the daily time scale) to resolve the dynamics of soil moisture ...
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Simplified thermal and hygric building models: A literature review
... building models can be classified into neural network models (black box), linear parametric models (black box or grey box) and lumped capacitance models (white ...building models should ...
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An experimental approach to predicting saliency for simplified polygonal models
... We are aware that it is not feasible to perform eye-tracking on every known object and that other factors such as viewpoints and textures play a role in visual fidelity too. Furthermore, the goal of our re- search is not ...
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