Search results for "methods [Gene Expression Profiling]"
showing 10 items of 838 documents
Conception de documents numériques : Parcours méthodologique
2009
There is a strong social demand for studies of digital document. Yet our models of society and education are struggling to integrate issues related to these types of documents. However, the subject is less than half a century old, and so it is hardly surprising that the writing and training practices are just being developed. Like the book, the digital document involves many different skills and techniques in its development. The list of jobs tends to grow steadily: ergonomists, referencing specialists, information architects, programmers, designers, integrators ... It is therefore difficult to have a global view on all this know-how and the related methodologies. This special edition seeks…
Virtualization of work in global supply chains
2016
ABSTRACT. Background: The paper is devoted to the notion and benefits of implementing virtual work in global supply chains. Virtual work must be understood as an intentional activity of a human being, aimed at rendering services (tangible and intangible), by means of ITC tools, performed in a distance from the traditional place of work, in a mobile manner. The empirical research were conducted on the basis of 4 case studies of global leaders of supply chains, which in accordance with M. Fisher's classification, represent two types. The case studies confirmed the positive influence of virtual work both in effective and flexible supply chains. Favourable market and technological conditions an…
Virtualization of work in global supply chains
2016
Background: The paper is devoted to the notion and benefits of implementing virtual work in global supply chains. Virtual work must be understood as an intentional activity of a human being, aimed at rendering services (tangible and intangible), by means of ITC tools, performed in a distance from the traditional place of work, in a mobile manner. The empirical research were conducted on the basis of 4 case studies of global leaders of supply chains, which in accordance with M. Fisher's classification, represent two types. The case studies confirmed the positive influence of virtual work both in effective and flexible supply chains. Favourable market and technological conditions and incr…
Synchrotron x-ray transmission measurements and modeling of filters investigated for Athena
2020
International audience; Advanced Telescope for High-Energy Astrophysics is a large-class astrophysics space mission selected by the European Space Agency to study the theme "Hot and Energetic Universe." The mission essentially consists of a large effective area x-ray telescope and two detectors: the X-ray Integral Field Unit (X-IFU) and the Wide Field Imager (WFI). Both instruments require filters to shield from out-of-band radiation while providing high transparency to x-rays. The mission is presently in phase B; thus, to consolidate the preliminary design, investigated filter materials need to be properly characterized by experimental test campaigns. We report results from high-resolution…
Reduced Order Models for Pricing European and American Options under Stochastic Volatility and Jump-Diffusion Models
2017
Abstract European options can be priced by solving parabolic partial(-integro) differential equations under stochastic volatility and jump-diffusion models like the Heston, Merton, and Bates models. American option prices can be obtained by solving linear complementary problems (LCPs) with the same operators. A finite difference discretization leads to a so-called full order model (FOM). Reduced order models (ROMs) are derived employing proper orthogonal decomposition (POD). The early exercise constraint of American options is enforced by a penalty on subset of grid points. The presented numerical experiments demonstrate that pricing with ROMs can be orders of magnitude faster within a give…
Reduced Order Models for Pricing American Options under Stochastic Volatility and Jump-diffusion Models
2016
American options can be priced by solving linear complementary problems (LCPs) with parabolic partial(-integro) differential operators under stochastic volatility and jump-diffusion models like Heston, Merton, and Bates models. These operators are discretized using finite difference methods leading to a so-called full order model (FOM). Here reduced order models (ROMs) are derived employing proper orthogonal decomposition (POD) and non negative matrix factorization (NNMF) in order to make pricing much faster within a given model parameter variation range. The numerical experiments demonstrate orders of magnitude faster pricing with ROMs. peerReviewed
A New Augmented Lagrangian Approach for $L^1$-mean Curvature Image Denoising
2015
Variational methods are commonly used to solve noise removal problems. In this paper, we present an augmented Lagrangian-based approach that uses a discrete form of the L1-norm of the mean curvature of the graph of the image as a regularizer, discretization being achieved via a finite element method. When a particular alternating direction method of multipliers is applied to the solution of the resulting saddle-point problem, this solution reduces to an iterative sequential solution of four subproblems. These subproblems are solved using Newton’s method, the conjugate gradient method, and a partial solution variant of the cyclic reduction method. The approach considered here differs from ex…
Drawing Cartoon Strips as a Learning Tool in Fostering the Learning of Titration in Pre-service Chemistry Education
2021
In this study, static visual displays of titration created by the university-level pre-service chemistry education students was investigated. The aim for the students was to learn the theory of titrations, using self-prepared cartoon strips with supportive texts. Attention was paid to the titration cartoon strips students made which were suitable for both learning and teaching purposes. The basis of this study was students’ own drawings: students observed and visualized the titration process, and built their own representation of it. Simple models were created using pencil and paper. The goals were to determine how students regard the learning tool, how drawing cartoon strips helps their le…
Skolēnu teksta uzdevumu risināšanas veicināšana matemātikas mācībā 2. Klasē
2018
Bakalaura darbā tiek pētīta skolēnu teksta uzdevumu risināšanas veicināšana matemātikas mācībā 2.klasē. Bakalaura darba autore ir Aleksandra Gorškova. Darba mērķis ir izzināt skolēnu teksta uzdevumu risināšanas veicināšanu matemātikas mācībā 2. klasē un apkopot ieteikumus par skolēnu teksta uzdevumu risināšanas veicināšanu matemātikas mācībā sākumskolā. Bakalaura darbs sastāv no divām daļām – teorētiskās un empīriskās. Darba teorētiskā daļa balstīta uz M. Ovčinnikovas (2001), I. Marčenko (2011), A. Belošistajas (2007), N. Istominas (2001), J. Menča (2014), M. Moro un A. Piškalo (1975), I. Dubrovinas (2003) un citu autoru teorētiskajām atziņām. Teorētiski analizēta matemātikas mācības būtība…
Problem Transformation Methods with Distance-Based Learning for Multi-Target Regression
2020
Multi-target regression is a special subset of supervised machine learning problems. Problem transformation methods are used in the field to improve the performance of basic methods. The purpose of this article is to test the use of recently popularized distance-based methods, the minimal learning machine (MLM) and the extreme minimal learning machine (EMLM), in problem transformation. The main advantage of the full data variants of these methods is the lack of any meta-parameter. The experimental results for the MLM and EMLM show promising potential, emphasizing the utility of the problem transformation especially with the EMLM. peerReviewed