Search results for "matrix"
showing 10 items of 3205 documents
Higher order matrix differential equations with singular coefficient matrices
2014
In this article, the class of higher order linear matrix differential equations with constant coefficient matrices and stochastic process terms is studied. The coefficient of the highest order is considered to be singular; thus, rendering the response determination of such systems in a straightforward manner a difficult task. In this regard, the notion of the generalized inverse of a singular matrix is used for determining response statistics. Further, an application relevant to engineering dynamics problems is included.
Evaluation of labor skills in Latvia
2019
Skills are a decisive factor for the country's economic development and social-well-being. The OECD emphasizes that strips can help countries integrate into global markets and specialize in technological advanced industries, and countries need to invest in fields not only to help people enter the labour market and protect from the risk of job losses and low quality of work, but also to increase international competitiveness and economic progress in an interlinked world. The aim of the research is to evaluate the most demanded labour skills in Latvia within the framework of certain groups of professions, as well as trends in the demand changes according to the skills of employees in order to…
Hopes and Limits of Adipose-Derived Stem Cells (ADSCs) and Mesenchymal Stem Cells (MSCs) in Wound Healing
2020
Adipose tissue derived stem cells (ADSCs) are mesenchymal stem cells identified within subcutaneous tissue at the base of the hair follicle (dermal papilla cells), in the dermal sheets (dermal sheet cells), in interfollicular dermis, and in the hypodermis tissue. These cells are expected to play a major role in regulating skin regeneration and aging-associated morphologic disgraces and structural deficits. ADSCs are known to proliferate and differentiate into skin cells to repair damaged or dead cells, but also act by an autocrine and paracrine pathway to activate cell regeneration and the healing process. During wound healing, ADSCs have a great ability in migration to be recruited rapidly…
Splines in convex sets under constraints of two‐sided inequality type in a hyperplane
2008
The problem of minimization of a smoothing functional under inequality constraints is considered in a hyperplane. The conditions of the existence of a solution are obtained and some properties of this solution are investigated. It is proved that the solution is a spline. The method for its construction is suggested. First Published Online: 14 Oct 2010
SparseHC: A Memory-efficient Online Hierarchical Clustering Algorithm
2014
Computing a hierarchical clustering of objects from a pairwise distance matrix is an important algorithmic kernel in computational science. Since the storage of this matrix requires quadratic space with respect to the number of objects, the design of memory-efficient approaches is of high importance to this research area. In this paper, we address this problem by presenting a memory-efficient online hierarchical clustering algorithm called SparseHC. SparseHC scans a sorted and possibly sparse distance matrix chunk-by-chunk. Meanwhile, a dendrogram is built by merging cluster pairs as and when the distance between them is determined to be the smallest among all remaining cluster pairs. The k…
L'approche cartographique de la représentation du mouvement spatial. L'exemple des flux commerciaux maritimes euro- méditerranéens
2016
Mapping spatial movement implies to rethink cartographic modelling in addition to digital data issues. This opens research pathways about the representation of spatio-temporal interactions and interrelations. Existing approaches focus either on the map background itself (data analysis issues, to answer thematic questions) or on its “shape”, i.e. on the pure graphical aspects of visualization (edge bundling) and on the semiology rules behind it. This paper aims to further examine the role of the map background in the cartography of maritime flows. This essentially geographic approach differs from existing ones in that it approximates the representation of movement by modelling the mesh of th…
Electron spectra in forbidden β decays and the quenching of the weak axial-vector coupling constant gA
2017
Evolution of the electron spectra with the effective value of the weak axial-vector coupling constant gA was followed for 26 first-, second-, third-, fourth- and fifth-forbidden β− decays of odd-A nuclei by calculating the involved nuclear matrix elements (NMEs) in the framework of the microscopic quasiparticle-phonon model (MQPM). The next-to-leading-order terms were included in the β-decay shape factor of the electron spectra. The spectrum shapes of third- and fourth-forbidden nonunique decays were found to depend strongly on the value of gA, while first- and second-forbidden decays were mostly unaffected by the tuning of gA. The gA-driven evolution of the normalized β spectra was found t…
Chewing simulation: a way to understand the relationships between mastication, food breakdown and flavour release
2010
International audience; Understanding in-mouth mechanisms is necessary to understand flavour release and perception phenomena. To overcome the limitations of in-vivo flavour release measurements, we developed a chewing simulator that faithfully reproduced many mouth functions. Using brittle foods, we showed that in-vitro food breakdown was very comparable to that obtained in-vivo. We also studied on model cheeses in-vitro flavour release by connecting on-line the chewing simulator to APCI-MS. Preliminary results are discussed.
Towards Robust Adaptive Least-Squares Parameter Estimation with Internal Feedback
1998
Abstract The new concepts of the ‘covariance matrix normalization’ and the ‘cascade’ structure of the adaptive least-squares estimator are shown to generalize and extend the use of internal information feedback in various robustness/alertness-oriented modifications to the standard ALS estimation algorithm. In the cascade estimation structure it is possible to ‘naturally’ stabilize, rather than maximize, the information matrix so that the covariance windup and blowup are effectively eliminated and the celebrated square root update of the covariance matrix is no longer needed Consequently, a new, ‘single-loop/cascade’ ALS MIMO estimation algorithm, enabling to effectively track both slow and …