Search results for "49"

Echi dal mondo antico nel racconto della natività: il Protoevangelium Jacobi e il Liber de nativitate Salvatoris

2018

Serawit Bekele Debele, Locating Politics in Ethiopia’s Irreecha Ritual

2022

Review

Gloria in excelsis Deo de Alcoy, por el dichoso hallazgo de Christo Sacramentado en tres formas robadas y feliz descubrimiento, y possession del Niñ…

1749

Sig. *-***4, ****2, A-E4, F2 Text amb postil·les marginals. - Reclams. - Capitals grav., banda i vinyeta al final

Eudontomyzon danfordi (Regan, 1911) Species Populations Ecological Status in Maramureş Mountains Nature Park (Romania)

2015

Abstract The Eudontomyzon danfordi characteristic habitats state of Maramureş Mountains Nature Park varies greatly, 19.05% are in excellent conservation status, 47.62% are in good/average status and 33.33% are in a partially degraded condition. The identified human impact categories which induced the decreasing of Eudontomyzon danfordi species habitat state in the studied area are: poaching, minor riverbeds morphodynamic changings, liquid and solid natural flow disruption, destruction of riparian trees and bush vegetation, habitat fragmentation-fish populations isolation, and organic/mining pollution activities.

Experimental increase of worker diversity benefits brood production in ants

2021

Background The reproductive division of labor of eusocial insects, whereby one or several queens monopolize reproduction, evolved in a context of high genetic relatedness. However, many extant eusocial species have developed strategies that decrease genetic relatedness in their colonies, suggesting some benefits of the increased diversity. Multiple studies support this hypothesis by showing positive correlations between genetic diversity and colony fitness, as well as finding effects of experimental manipulations of diversity on colony performance. However, alternative explanations could account for most of these reports, and the benefits of diversity on performance in eusocial insects stil…

Thermoeconomic optimization of a renewable polygeneration system serving a small isolated community

2015

During the last years, special attention has been paid to renewable polygeneration technologies, able of simultaneously producing thermal, cooling, electrical energy and desalinated water from seawater. This paper focuses on an innovative polygeneration system driven by renewable energy sources, including the following technologies: hybrid photovoltaic/thermal collectors, concentrating parabolic trough (CPVT), a biomass heater, a single-stage absorption chiller and a multiple-effect distillation desalination system. The system is designed to cover the base load of an isolated small community. In previous papers, the dynamic simulation model about plant operation is discussed. In this paper,…

Supplementary figure: DNA recovery from Droplet Digital PCR emulsions using Liquid Nitrogen

2020

Supplementary figure 1 – Applicability of LN2 method to break ddPCR emulsion. ddPCR reactions were prepared with ddPCR™ Supermix for Probes (no dUTP) and Droplet Generation Oil for Probes (three tubes on the left) or ddPCR™ Supermix for EvaGreen® and Droplet Generation Oil for EvaGreen® (three tubes on the right). The tubes (A) and (D) show the emulsion before using LN2 method, and tubes (B), (C), (E) and (F) shows the oil and water layers after breaking the emulsion.

Supplementary table: DNA recovery from Droplet Digital PCR emulsions using Liquid Nitrogen

2020

Supplementary table - Raw data from experiments studying DNA recovery from droplets using chemical and physical procedures.

CLEAR: Covariant LEAst-Square Refitting with Applications to Image Restoration

2017

International audience; In this paper, we propose a new framework to remove parts of the systematic errors affecting popular restoration algorithms, with a special focus for image processing tasks. Generalizing ideas that emerged for $\ell_1$ regularization, we develop an approach re-fitting the results of standard methods towards the input data. Total variation regularizations and non-local means are special cases of interest. We identify important covariant information that should be preserved by the re-fitting method, and emphasize the importance of preserving the Jacobian (w.r.t. the observed signal) of the original estimator. Then, we provide an approach that has a ``twicing'' flavor a…

Worst case approach in convex minimization problems with uncertain data

2015

This paper concerns quantitative analysis of errors generated by incompletely known data in convex minimization problems. The problems are discussed in the mixed setting and the duality gap is used as the fundamental error measure. The influence of the indeterminate data is measured using the worst case scenario approach. The worst case error is decomposed into two computable quantities, which allows the quantitative comparison between errors resulting from the inaccuracy of the approximation and the data uncertainty. The proposed approach is demonstrated on a paradigm of a nonlinear reaction-diffusion problem together with numerical examples.