Search results for "basis"

(1670-1675) Proposals to conserve the names Bellidiastrum , Berkheya , Euryops , Notobasis , Picnomon and Urospermum (Compositae ) against six generi…

2005

The inhibition of glycerol permeation through aquaglyceroporin-3 induced by mercury(II)

2016

Mercurial compounds are known to inhibit water permeation through aquaporins (AQPs). Although in the last years some hypotheses were proposed, the exact mechanism of inhibition is still an open question and even less is known about the inhibition of the glycerol permeation through aquaglyceroporins. Molecular dynamics (MD) simulations of human aquaporin-3 (AQP3) have been performed up to 200 ns in the presence of Hg2+ ions. For the first time, we have observed the unbiased passage of a glycerol molecule from the extracellular to cytosolic side. Moreover, the presence of Hg2+ ions covalently bound to Cys40 leads to a collapse of the aromatic/arginine selectivity filter (ar/R SF), blocking th…

Semisupervised nonlinear feature extraction for image classification

2012

Feature extraction is of paramount importance for an accurate classification of remote sensing images. Techniques based on data transformations are widely used in this context. However, linear feature extraction algorithms, such as the principal component analysis and partial least squares, can address this problem in a suboptimal way because the data relations are often nonlinear. Kernel methods may alleviate this problem only when the structure of the data manifold is properly captured. However, this is difficult to achieve when small-size training sets are available. In these cases, exploiting the information contained in unlabeled samples together with the available training data can si…

Kernel-Based Inference of Functions Over Graphs

2018

Abstract The study of networks has witnessed an explosive growth over the past decades with several ground-breaking methods introduced. A particularly interesting—and prevalent in several fields of study—problem is that of inferring a function defined over the nodes of a network. This work presents a versatile kernel-based framework for tackling this inference problem that naturally subsumes and generalizes the reconstruction approaches put forth recently for the signal processing by the community studying graphs. Both the static and the dynamic settings are considered along with effective modeling approaches for addressing real-world problems. The analytical discussion herein is complement…

Model selection based product kernel learning for regression on graphs

2013

The choice of a suitable graph kernel is intrinsically hard and often cannot be made in an informed manner for a given dataset. Methods for multiple kernel learning offer a possible remedy, as they combine and weight kernels on the basis of a labeled training set of molecules to define a new kernel. Whereas most methods for multiple kernel learning focus on learning convex linear combinations of kernels, we propose to combine kernels in products, which theoretically enables higher expressiveness. In experiments on ten publicly available chemical QSAR datasets we show that product kernel learning is on no dataset significantly worse than any of the competing kernel methods and on average the…

A structural cluster kernel for learning on graphs

2012

In recent years, graph kernels have received considerable interest within the machine learning and data mining community. Here, we introduce a novel approach enabling kernel methods to utilize additional information hidden in the structural neighborhood of the graphs under consideration. Our novel structural cluster kernel (SCK) incorporates similarities induced by a structural clustering algorithm to improve state-of-the-art graph kernels. The approach taken is based on the idea that graph similarity can not only be described by the similarity between the graphs themselves, but also by the similarity they possess with respect to their structural neighborhood. We applied our novel kernel in…

Comparison of Different Methods for the Calculation of Indices of Paternity

1992

The qualitative decision about paternity in trio cases on the basis of DNA multilocus profiles is no problem. If there are more than 1 or 2 exclusion patterns (band present in child, which is neither present in mother or alleged father), the putative father has to be excluded. The problems arise, if, in the case of a non exclusion, one wants to quantify the evidence for paternity. Different statistics have been proposed for this purpose. This paper discusses three of these statistics and demonstrates their application to real data.

Evolution of Carotenoid Content, Antioxidant Activity and Volatiles Compounds in Dried Mango Fruits (Mangifera Indica L.)

2020

The aim of this research was to study the evolution of carotenoid compounds, antioxidant &beta

Numerical Solution of Foodstuff Freezing Problems Using Radial Basis Functions

2013

This work presents a novel numerical approach for the solution of time dependent non-linear freezing processes in terms of radial basis function Hermite approach. The proposed scheme is applied to a mashed potato sample during its freezing; evaluation of time evolution of the temperature profile at the core of the sample is carried out. Food thermal properties are highly dependent on temperature and the mathematical problem becomes highly non-linear and therefore particularly difficult to solve. Incorporating a Kirchhoff transformation significantly reduces the non-linearity. The robustness of the scheme is tested by comparison with experimental results available in literature.

Hedge Effectiveness Testing as a Screening Mechanism for Hedge Accounting

2014

Accounting for financial instruments has been subject to much controversy, particularly accounting practices related to derivatives held for hedging purposes. For cash flow hedges, poor matching may result when fair-value accounting is prescribed for the hedging instrument and historical cost is prescribed for the assets that generate the “highly probable forecast transaction” to be hedged. Fair-value accounting may therefore induce excess variations in earnings, which could make a firm appear to be more risky than it actually is. The alternative to fair-value accounting offered by the Financial Accounting Standards Board (FASB) and the International Accounting Standards Board (IASB) to fi…