scholarly journals A new approach of estimating the galactic thermal dust and synchrotron polarized emission template in the microwave bands

2021 ◽  
Vol 507 (3) ◽  
pp. 4618-4637
Author(s):  
Debabrata Adak

ABSTRACT The Internal Linear Combination (ILC) method has been extensively used to extract the cosmic microwave background (CMB) anisotropy map from foreground contaminated multifrequency maps. However, the performance of simple ILC is limited and can be significantly improved by heavily constraint equations, dubbed constrained ILC (cILC). The standard ILC and cILC work on spin-0 fields. Recently, a generalised version of ILC has been developed, named polarization ILC (PILC), in which Q ± iU at multiple frequencies are combined using complex coefficients to estimate Stokes Q and U maps. A statistical moment expansion method has recently been developed for high-precision modelling of the galactic foregrounds. This paper develops a semiblind component separation method combining the moment approach of foreground modelling with a generalised version of the PILC method for heavily constraint equations. The algorithm is developed in pixel space over a spin-2 field. We demonstrate the performance of the method on three sets of absolutely calibrated simulated maps at WMAP and Planck frequencies with varying foreground models. We apply this component separation technique in simultaneous estimation of Stokes Q and U maps of the thermal dust at 353 GHz and synchrotron at 30 GHz. We also recover both dust and synchrotron maps at 100 and 143 GHz, where separating two components is challenging.

2021 ◽  
pp. 105971232110310
Author(s):  
Charles Lenay

The aim of this article is to offer a new approach of perception regarding the position of a distant object. It is also a tribute to John Stewart who accompanied the first stages of this research. Having already examined the difficulties surrounding questions of the perception of exteriority within the framework of enactive approaches, we will proceed in two stages. The first stage will consist of an attempt to explain distal perception in terms of individual sensorimotor invariants. This poses the problem but fails to solve it. The second stage will propose a new pathway to account for spatial perception; a pathway that does not deny the initial intuitions of the autopoietic enactive approaches, but one which radically changes the conception of cognition by considering, from the perceptual stage, the need to take into account interindividual interactions. The protocol of an original experimental study will characterize this new approach considering the perceptual experience of objects at a distance, in exteriority, in a space of possibilities without parting from the domain of interaction. To do this, we have to work at the limits of the perceptual crossing, that is, at the moment when the perceptual reciprocity between different subjects begins to disappear.


Author(s):  
R. J. Eggert ◽  
R. W. Mayne

Abstract Probabilistic optimization using the moment matching method and the simulation optimization method are discussed and compared to conventional deterministic optimization. A new approach based on successively approximating probability density functions, using recursive quadratic programming for the optimization process, is described. This approach incorporates the speed and robustness of analytical probability density functions and improves accuracy by considering simulation results. Theoretical considerations and an example problem illustrate the features of the approach. The paper closes with a discussion of an objective function formulation which includes the expected cost of design constraint failure.


2010 ◽  
Vol 39 (1) ◽  
pp. 1-19 ◽  
Author(s):  
Kees Korrelboom ◽  
Marlies Marissen ◽  
Tanja van Assendelft

Background: Self-esteem is a major concern in the treatment of patients with personality disorders in general. In patients with borderline personality disorder, low self-esteem is associated with factors contributing to suicidal and self-injurious behaviour. At the moment there are no well-proven interventions that specifically target low self-esteem. Recently, a new approach, Competitive Memory Training or COMET, aimed at the enhancement of retrieving beneficial information from memory, appeared to be successful in addressing low self-esteem in different patient populations. Aims: To assess whether COMET for low self-esteem is also an effective intervention for patients with personality disorders. Method: 91 patients with personality disorders who were already in therapy in a regular mental health institution were randomly assigned to either 7 group sessions of COMET in addition to their regular therapy or to 7 weeks of ongoing regular therapy. These latter patients received COMET after their “7 weeks waiting period for COMET”. All patients that completed COMET were contacted 3 months later to assess whether the effects of COMET had remained stable. Results: Compared to the patients who received regular therapy only, patients in the COMET + regular therapy condition improved significantly and with large effect sizes on indices of self-esteem and depression. Significant differential improvements on measures of autonomy and social optimism were also in favour of COMET, but had small to intermediate effect sizes. The therapeutic effects of COMET remained stable after 3 months on three out of the four outcome measures. Conclusion: COMET for low self-esteem seems to be an efficacious trans-diagnostic approach that can rather easily be implemented in the treatment of patients with personality disorders.


2019 ◽  
Vol 6 (2) ◽  
Author(s):  
Mikhail Permyakov ◽  
Alexander Ilyin ◽  
Tatyana Ivanchenko ◽  
Alexander Ivanchenko ◽  
Nikolai Kopeikin

This article focuses on ordinary, familiar to us structures and what other benefits, except for their intended use, they can bring. One of the most pressing problems of the modern world is the excessive use of non-renewable or hardly renewable natural resources. The key element necessary for the operation of transport is gasoline extracted from oil, which is a hardly renewable natural resource, at the moment the rate of consumption of oil significantly exceeds the rate of its occurrence in the natural environment. In addition, people use atomic power stations to produce energy used in everyday life, many plants and factories are built to produce various things necessary for life, and sometimes just to increase comfort. All this has a very negative impact on the environment, and to clean it after such pollution is a very difficult task. In this way, in the use of current energy sources, we distinguish 2 significant flaws – the exhaustion and difficulty of renewal of the key components necessary for obtaining energy and the negative impact on the world around us. Many states came to the conclusion that it would be much more rational to develop a new approach to energy production, based on the use of inexhaustible and environmentally friendly natural elements. The main example of this approach is the use of solar energy by converting it into electricity using solar panels. In this article, we will look at solar panels and their use in road construction as a way to generate energy and solve environmental problems.


Author(s):  
N. Induja ◽  
R. Maruthi

The environments where the build to focus the warehouse to maintain all the business aspects are satisfied and the quality are obtained on the functionalities are acting up to the users mark. The objective of this paper is to evaluate and initiate a mechanism to evaluate automation tools effectively, at the moment. There are various systems built and even if they are platform independent and also if existing with additional features they are having many demerits that don't satisfy the end user. An important contribution of this paper is the development of the metric suite that facilitates assessment and selection of a desired testing tool for automated testing and in relation to the environment for the software is developed. At the software industry it is a high value for project management team selecting the tools that may satisfy the requirement satisfactions highlighted by the end user to be satisfied to maintain the business mix.


1988 ◽  
Vol 55 (4) ◽  
pp. 899-904 ◽  
Author(s):  
S. K. Ider ◽  
F. M. L. Amirouche

In this paper a new theorem for the generation of a basis for the null space of a rectangular matrix, with m linearly independent rows and n (n > m) columns is presented. The method is based on Gaussian row operations to transform the constraint Jacobian matrix to an uptriangular matrix. The Gram-Schmidt process is then utilized to identify basis vectors orthogonal to the uptriangular matrix. A complement orthogonal array which forms the basis for the null space for which the algebraic constraint equations are satisfied is then formulated. An illustration of the theorem application to constrained dynamical systems for both Lagrange and Kane’s equations is given. A numerical computer algorithm based on Kane’s equations with embedded constraints is also presented. The method proposed is well conditioned and computationally efficient and inexpensive.


2004 ◽  
Vol 20 (4) ◽  
pp. 439-456 ◽  
Author(s):  
Jean-Bernard Lasserre ◽  
Tomás Prieto-Rumeau

Author(s):  
Jiayin Li

The transient modal analysis method (TMA) has been used to solve the inhomogeneous (loaded) transient thermoelastic contact problem (ITTEC). In the TMA method, the solution of the inhomogeneous transient problem is expressed in modal coordinates, corresponding to eigenfunctions of the homogeneous (unloaded) problem. However, for the large-scale ITTEC problem, this method is found to be extremely time-consuming, because of the computation-intensive of the eigen-solutions. This paper describes a new approach to solve the large-scale ITTEC problem with a dramatic reduction in computational complexity. The method is referred to as fast speed expansion method (FSE). With the FSE method, full eigen-solutions are performed only at a limited number of sparsely located speeds. For speeds between these speeds, eigenvectors are solved by linear interpolation, while the eigenvalues are computed from Taylor series. The method is illustrated with application to an automotive clutches.


2020 ◽  
Vol 21 (20) ◽  
pp. 7684
Author(s):  
Laura Orsolini ◽  
Michele Fiorani ◽  
Umberto Volpe

Bipolar disorder (BD) is a complex neurobiological disorder characterized by a pathologic mood swing. Digital phenotyping, defined as the ‘moment-by-moment quantification of the individual-level human phenotype in its own environment’, represents a new approach aimed at measuring the human behavior and may theoretically enhance clinicians’ capability in early identification, diagnosis, and management of any mental health conditions, including BD. Moreover, a digital phenotyping approach may easily introduce and allow clinicians to perform a more personalized and patient-tailored diagnostic and therapeutic approach, in line with the framework of precision psychiatry. The aim of the present paper is to investigate the role of digital phenotyping in BD. Despite scarce literature published so far, extremely heterogeneous methodological strategies, and limitations, digital phenotyping may represent a grounding research and clinical field in BD, by owning the potentialities to quickly identify, diagnose, longitudinally monitor, and evaluating clinical response and remission to psychotropic drugs. Finally, digital phenotyping might potentially constitute a possible predictive marker for mood disorders.


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