1,720,958 research outputs found
Automated monitoring in In vitro diagnostics: enhancing precision with machine learning and computer vision
No full textIn Vitro Diagnostics (IVD) is an application belonging to the fields of science and technology, able to extract
from human biological sample reliable information which are related to the diagnosis of the state of health of an
individual. It is currently undergoing a significant evolution due to technological innovation and process
automation. Given the increasing prevalence of automation in IVD, it is crucial to ensure that automated
processes and devices are constantly monitored to minimize false negatives. This study introduces an
automated monitoring system that utilizes Machine Learning and Computer Vision techniques to analyze
IVD device analysis processes in real-time
The impact of virtual reality and distractors on attentional processes: insights from EEG
No full textVirtual reality (VR) allows to create controlled scenarios in which the quantity of stimuli can be modulated, as happen in real-life, where humans are subjected to various multisensory—often overlapping—stimuli. The present research aimed to study changes in attentional processes within an auditory oddball paradigm during a virtual exploration, while varying the amount of distractors. Twenty healthy volunteers underwent electroencephalography (EEG) during three different experimental conditions: an auditory oddball without VR (No-VR condition), an auditory oddball during VR exploration without distractors (VR-Empty condition), and an auditory oddball during VR exploration with a high level of distractors (VR-Full condition). Event-related potentials (ERPs) were computed averaging epochs of EEGs and analyzing peaks at 100 ms (N100) and 300 ms (P300) latencies. Results showed modulation of N100 amplitude in Fz and of P300 amplitude in Pz. Statistically significant differences in latency were observed only for P300 where the latency results delayed from the No-VR to VR-Full. The scalp topography revealed for P100 no significant differences between frequent and rare stimuli in either the No-VR and VR-Empty conditions. However, significant results were found in N100 in VR-Full condition. For P300, results showed differences between frequent and rare stimuli, in every condition. However, this difference is gradually less widespread from No-VR condition to the VR-Full. The emerging integration of VR with EEG may have important implications for studying brain attentional processing
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
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Automated monitoring of IVD device analysis processes using machine learning and computer vision techniques
No full textThis study presents an automated monitoring system which analyze In Vitro Diagnostics (IVD) device processes in real-time. It captures images of elements involved in aspiration and dispensing of liquids, namely tips, during critical moments of the diagnostic session. The acquired images are processed using Machine Learning and Computer Vision algorithms, allowing continuous monitoring of the diagnostic process. The study focuses on the critical operation of gripping tips during the session
Automated monitoring in vitro diagnostics: enhancing precision with machine learning and computer vision
No full textIn Vitro Diagnostics (IVD) is an application belonging to the fields of science and technology, able to extract
from human biological sample reliable information which are related to the diagnosis of the state of health of an
individual. It is currently undergoing a significant evolution due to technological innovation and process
automation. As automation becomes more prevalent in IVD, it is essential to ensure that automated processes
and devices are constantly monitored to minimize false negatives. This study introduces an automated
monitoring system that utilizes Machine Learning, Deep Learning and Computer Vision techniques to
analyze IVD device analysis processes in real-time
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