1,720,985 research outputs found
Imaging and Measurement
Full text linkImaging and measurement have always been two of the most important procedures of medicine nowadays. Obviously, the techniques to perform these procedures have evolved over time, and nowadays, new and more sophisticated tools in the aid of diagnostics are developed daily. Here, we will treat and describe the techniques that are implemented and that are being developed in the treating chronic wounds. Their importance has become even greater due to recent events such as COVID-19 pandemic which has shed light on the high necessity of procedures that can aid physicians and nurses in treating ulcer patients remotely maintaining the highest standards of cure possible. As said, developments are still ongoing setting higher goals regarding diagnostic precision and efficiency of cure, and it is demonstrated how all the solutions that have reached the clinical use have opened the pathway for the most recent or future innovations in this field
Memristor-based binary synapses for deep neural networks
No full textThe development of biologically–oriented mathematical models has allowed recent advances in neuromorphic computing architectures and in the understanding of the mechanisms behind the complex dynamics of living systems. Deep Neural Networks are among the most computational efficient architectures used in machine learning. The simplest structure is represented by multiple–layers perceptrons with binary synapses (i.e. the synaptic weights assume binary values). The manuscript introduces a memristor–based circuit to implement an artificial binary synapse. In the paper it will be shown how the binary output is obtained with respect to the internal state of the memristor and how this kind of sub–system could be a more efficient implementation of synapses inside networks such as a perceptron
Blinking Networks of Memristor Oscillatory Circuits in the Flux-Charge Domain
Full text linkMultistability phenomena and complex nonlinear dynamics in memristor oscillators pave the way to obtain efficient solutions to optimization problems by means of novel computational architectures based on the interconnection of single–device oscillators. It is well-known that topological properties of interconnections permit to control synchronization and spatio–temporal patterns in oscillatory networks. When the interconnections can change in time with a given probability to connect two oscillators, the whole network acts as a complex network with blinking couplings. The work of has shown that a particular class of blinking complex networks are able to completely synchronize in a faster fashion with respect to other coupling strategies. This work focuses on the specific class of blinking complex networks made of Memristor–based Oscillatory Circuits (MOCs). By exploiting the recent Flux–Charge Analysis Method, we make clear that synchronization phenomena in blinking networks of memristor oscillators having stochastic couplings, i.e., Blinking Memristor Oscillatory Networks (BMONs), correspond to global periodic oscillations on invariant manifolds and the effect of a blinking link is to shift the nonlinear dynamics through the infinite (invariant) manifolds. Numerical simulations performed on MOCs prove that synchronization phenomena can be controlled just by changing the coupling amongst them
Memristor-based cellular nonlinear networks with belief propagation inspired algorithm
No full textNeural Networks trained with the Belief Propagation Inspired (BPI) algorithm are able to learn a number of associations close to the theoretical limit in time that is sublinear in the number of input. Using binary synapses, implemented by a memristor, a single layer perceptron with BPI has been proposed. It well know that perceptrons with step function type nonlinearity can be implemented by a suitable class of Cellular Neural/Nonlinear Networks. This paper aims to present a statistical analysis on the learning efficiency of Memristor-based Cellular Nonlinear Networks (M-CNNs) with Belief Propagation Inspired (BPI) algorithm. Monte Carlo simulations permit to assess that the learning efficiency of M-CNNs with BPI is not regardless of the input signals given to train the perceptron
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
- …
