Uneven surface moisture as a driver of dune formation on ephemeral lake beds under conditions similar to the present day: a model‐based assessment from the Makgadikgadi basin, northern Botswana

Assessment of Surface Moisture in the Catchment Area on the Base of Modelling the Hydrological Properties of Soils

10.29007/7kmr ◽

2018 ◽

Cited By ~ 1

Author(s):

Vitaly Ilinich ◽

Andrey Bolotov ◽

Sergey Makarychev ◽

Evgeny Shein

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Soil Moisture ◽

Nonlinear Regression ◽

Catchment Area ◽

Water Erosion ◽

Surface Moisture ◽

Model Based ◽

Catchment Modeling ◽

Artificial Neural

The research is dedicated to estimation of soil moisture before storm rain flood for calculations of water erosion on the catchment. Modeling of hydrological properties of soils is used for characteristic of the soil moisture. The model based at technologies of multiple nonlinear regression, as well as the method of artificial neural networks.

Download Full-text

Limitations of the Double-Bounce Power Estimation in Model-Based Polarimetric Decompositions of Vegetated Terrain

10.36227/techrxiv.16802392.v1 ◽

2021 ◽

Author(s):

Takuma Watanabe ◽

Hiroyoshi Yamada

Keyword(s):

Incidence Angle ◽

Sar Images ◽

Polarimetric Synthetic Aperture Radar ◽

Surface Moisture ◽

Moisture Contents ◽

Model Based ◽

Dielectric Surfaces ◽

Incorrect Prediction ◽

Theoretical Results ◽

Simple Numerical Model

In this research, we discuss the possibility of incorrect prediction of the double-bounce scattering (DBS) power in model-based decomposition (MBD) algorithms applied to polarimetric synthetic aperture radar (SAR) images of vegetated terrain. In most of the MBD schemes, the estimation of the DBS component is based on the assumption that the co-polarized phase difference (CPD) of the DBS is similar to those of backscattering from a pair of orthogonal planer conducting surfaces. However, for dielectric surfaces such as soil or vegetation trunks, this assumption is only valid within a certain range of radar incidence angle, which is dictated by the Brewster angles of the dielectric surfaces. If the incidence angle is out of this range, the DBS contribution is incorrectly estimated as the surface scattering. Moreover, because the Brewster angle is a function of surface permittivity, the angular range depends on moisture contents of the surfaces; therefore, correctness of the MBD results also depend on the surface moisture contents. To demonstrate this problem, we provide a simple numerical model of vegetated terrain, and we validate theoretical results by a series of controlled experiments carried out in an anechoic chamber with a simplified vegetation model.

Download Full-text

Characterization of Near-Surface Moisture Dynamics Using Hydrologic Model-Based Interpretation of GPR Data

10.21236/ada515816 ◽

2009 ◽

Author(s):

Stephen Moysey

Keyword(s):

Hydrologic Model ◽

Near Surface ◽

Surface Moisture ◽

Model Based ◽

Moisture Dynamics

Download Full-text

Multi-zone & multi-compartment model for dynamic simulation of horizontal fluidized bed granulator

Proceedings of 21th International Drying Symposium ◽

10.4995/ids2018.2018.7474 ◽

2018 ◽

Author(s):

Lisa Mielke ◽

Andreas Bück ◽

Evangelos Tsotsas

Keyword(s):

Fluidized Bed ◽

Solid Phase ◽

Compartment Model ◽

Population Balance Modeling ◽

Surface Moisture ◽

Model Based ◽

System A ◽

Preliminary Model ◽

Ongoing Development ◽

Drying Model

Due to the ongoing development and implementation of process control and observation techniques in production processes of particulate products, the research on complexly designed process apparatuses has become of great interest. The work presented in this paper is focused on a model-based study on a multi-chamber horizontal fluidized bed apparatus for fluidized bed layering granulation. The model for the solid phase is extended by a new drying model. Because of the great variety of parameters that influence this complex system a preliminary model-based study on a simplified setup shall show which construction or process parameters influence the product quality. Keywords: fluidized bed granulation; population balance modeling; surface moisture content; drying

Download Full-text

Representation, abstraction, and simple-minded sophisticates

Behavioral and Brain Sciences ◽

10.1017/s0140525x19002942 ◽

2020 ◽

Vol 43 ◽

Author(s):

Peter Dayan

Keyword(s):

Decision Theory ◽

Predictive Coding ◽

Bayesian Decision Theory ◽

Bayesian Decision ◽

Model Based ◽

Model Free

Abstract Bayesian decision theory provides a simple formal elucidation of some of the ways that representation and representational abstraction are involved with, and exploit, both prediction and its rather distant cousin, predictive coding. Both model-free and model-based methods are involved.

Download Full-text

Quantitative Model-Based Image Analysis of NuMa Distribution Links Nuclear Organization with Cell Phenotype

Microscopy and Microanalysis ◽

10.1017/s1431927600028968 ◽

2001 ◽

Vol 7 (S2) ◽

pp. 578-579

Author(s):

David W. Knowles ◽

Sophie A. Lelièvre ◽

Carlos Ortiz de Solόrzano ◽

Stephen J. Lockett ◽

Mina J. Bissell ◽

...

Keyword(s):

Image Analysis ◽

Mammary Epithelial Cells ◽

Nuclear Organization ◽

Critical Role ◽

Quantitative Model ◽

Mammary Epithelial ◽

Cell Phenotype ◽

Proliferating Cells ◽

Mitotic Apparatus ◽

Model Based

The extracellular matrix (ECM) plays a critical role in directing cell behaviour and morphogenesis by regulating gene expression and nuclear organization. Using non-malignant (S1) human mammary epithelial cells (HMECs), it was previously shown that ECM-induced morphogenesis is accompanied by the redistribution of nuclear mitotic apparatus (NuMA) protein from a diffuse pattern in proliferating cells, to a multi-focal pattern as HMECs growth arrested and completed morphogenesis . A process taking 10 to 14 days.To further investigate the link between NuMA distribution and the growth stage of HMECs, we have investigated the distribution of NuMA in non-malignant S1 cells and their malignant, T4, counter-part using a novel model-based image analysis technique. This technique, based on a multi-scale Gaussian blur analysis (Figure 1), quantifies the size of punctate features in an image. Cells were cultured in the presence and absence of a reconstituted basement membrane (rBM) and imaged in 3D using confocal microscopy, for fluorescently labeled monoclonal antibodies to NuMA (fαNuMA) and fluorescently labeled total DNA.

Download Full-text