1,721,753 research outputs found
Self-mixing Interferometry for Biomedical Signals Sensing
Full text linkSelf-mixing interferometry is a noncontact method well suited for measuring a variety of biological signals, like blood pressure wave at wrist and thorax (the optical stethoscope), blood velocity in vein and in external circulation, THz echoes from skin, ear drum vibration, and oculomotor reflex measurements. In this review, after presenting the underlying theory and the main developments of self-mixing, we analyze the applications to biosignal measurement reported so far, and illustrate potentialities and perspectives of the technique
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
A novel approach to the electro-thermal sensitivity analysis of electron devices through efficient physics-based simulations
No full textWe present a general approach to concurrently describe small-change variations of a semiconductor device electrical current along with variations of the thermal current through the device thermodes. This representation extends the ordinary small-signal matrix (e.g. SS Y ) to a full Electro-Thermal (ET) linearized device characterization. The sensitivity analysis based on Green’s Functions is extended to describe the variations of both electrical currents and thermal fluxes originated by any process parameter, hence allowing for a self-consistent Electro-
Thermal sensitivity analysis. The new representation, including ET Y matrix and ET Green’s Functions, is extracted by efficient physical analysis within TCAD tools, exploiting a PDE-based physical model, such as the drift-diffusion, coupled to the heat diffusion (Fourier) equation. The ET sensitivity allows for the analysis of the device response to any deterministic or random variation of technological parameters and is especially needed for the optimization of electrothermal devices and for the variability analysis of electrical devices characterized by strong self-heating and geometry dependent heat dissipation path
Physically-based statistical analysis of nonlinear circuits through X-parameters
No full textThe active device X-parameters extracted from physics-based TCAD simulations are imported into the Keysight ADS environment following the techniques outlined in [1], leading to an efficient, yet physically sound, circuit-level nonlinear model, retaining a direct link with the device fabrication technology. In this work, the X parameter model is used to demonstrate that a fully statistical analysis of a nonlinear circuit as a function of technological spread of the active device can be efficiently carried out within ADS, with extremely reduced simulation time and excellent agreement with the original TCAD analysis. As a test case, we address the statistical analysis of a deep class AB amplifier as a function of the variations of both the active device doping and the circuit layout. The statistical distribution of the output power significantly depends on the power backoff and exhibits a marked skew, which cannot be fully addressed by standard sensitivity or linearized approaches. The effect of correlated or uncorrelated active device or layout variations is also investigated in a combined stage
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