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El artículo presenta, desde el campo de la sociosemiótica, el análisis de los movimientos de protesta acoplados a las redes sociales mediáticas por la desaparición de 43 estudiantes de la Escuela Normal de Ayotzinap...

Abstract Objective Myelodysplastic syndromes (MDS) are associated with a high risk of progression to leukemia, highlighting the critical need to explore novel therapeutic agents. Based on network pharmacology predicti...

BackgroundTar-rich coals serve as an important coal-based oil and gas resource in China, while their pyrolysis product distribution is governed by the coupling effects of coal properties and reaction conditions. Therefor...

Many networks of interest in the sciences, including social networks, computer networks, and metabolic and regulatory networks, are found to divide naturally into communities or modules. The problem of detecting and char...

Proteins and their functional interactions form the backbone of the cellular machinery. Their connectivity network needs to be considered for the full understanding of biological phenomena, but the available information ...

InfiniBand (IBA) technology was developed to address the performance issues associated with messages movement among Endnodes and computer I/O devices. However, InfiniBand is also widely deployed within high performance c...

In 21st century, convergences of technologies and services in heterogeneous environment have contributed multi-traffic. This scenario will affect computer network on learning system in higher educational Institutes. Impl...

Thirty years of brain imaging research has converged to define the brain's default network-a novel and only recently appreciated brain system that participates in internal modes of cognition. Here we synthesize past obse...

In this paper, we discuss consensus problems for networks of dynamic agents with fixed and switching topologies. We analyze three cases: 1) directed networks with fixed topology; 2) directed networks with switching topol...

Offers an applications-oriented approach to multivariate data analysis, focusing on the use of each technique, rather than its mathematical derivation. The text introduces a six-step framework for organizing and discussi...

List of Boxes List of Tables and Figures Foreword Acknowledgments 1. Defining Content Analysis Is Content Analysis Easy? Is It Something That Anyone Can Do? A Six-Part Definition of Content Analysis 2. Milestones in the ...

As qualitative research becomes increasingly recognized and valued, it is imperative that it is conducted in a rigorous and methodical manner to yield meaningful and useful results. To be accepted as trustworthy, qualita...

A large quantity of data of different types and priorities pass through on high-speed networks. A relevant part of these data, like continuous media (audio, video, and so), need a control of its Quality of Service (QoS)....

We propose a deep learning method for single image super-resolution (SR). Our method directly learns an end-to-end mapping between the low/high-resolution images. The mapping is represented as a deep convolutional neural...

El presente trabajo propone una aplicación de herramientas provenientes del análisis de redes sociales y de programación para la explotación de información de una comunidad online, más específicamente una red soci...

Fil: Grossetti, Michel Université de Toulouse-le-Mirail. Centre Interdisciplinaire de Recherches Urbaines et Sociologiques; Francia. La noción de red es utilizada en ciencias sociales y, en particular en los estudios s...

Institutional collaborative networks are a central phenomenon in improving democratic governance. This study aims to design and validate an evaluation grid based on the perceptions of actors who participate in such netwo...

State-of-the-art object detection networks depend on region proposal algorithms to hypothesize object locations. Advances like SPPnet [1] and Fast R-CNN [2] have reduced the running time of these detection networks, expo...

We derive a new self-organizing learning algorithm that maximizes the information transferred in a network of nonlinear units. The algorithm does not assume any knowledge of the input distributions, and is defined here f...

Point cloud is an important type of geometric data structure. Due to its irregular format, most researchers transform such data to regular 3D voxel grids or collections of images. This, however, renders data unnecessaril...

Introducción: Uno de los cambios que ocurren durante el envejecimiento es la pérdida de la masa muscular, proceso denominado sarcopenia. Esta disminución genera en el individuo una alteración en sus capacidades fí...

Graph databases are increasingly being used for modeling complex networks using the property graph data model, which annotates nodes and edges in a graph with property-value pairs. However, existing research primarily fo...

Previous article Next article An Algorithm for Least-Squares Estimation of Nonlinear ParametersDonald W. MarquardtDonald W. Marquardthttps://doi.org/10.1137/0111030PDFPDF PLUSBibTexSections ToolsAdd to favoritesExport Ci...