Purpose Speech-language pathologists are playing a crucial role in the assessment and management of patients infected with severe acute respiratory syndrome coronavirus 2. Our goal was to synthesize peer-reviewed literature and association guidelines from around the world regarding dysphagia assessment and management for this specific population. Method A review of publications available in the PubMed database and official guidelines of international groups was performed on May 23, 2020. The information was synthesized and categorized into three content areas for swallowing: clinical evaluation, instrumental assessment, and rehabilitation. Results Five publications were identified in the PubMed database. Following title, abstract, and full-text review, only three publications met inclusion criteria: two reviews and one narrative report. Additionally, 19 international guidelines were reviewed. To assess swallowing, a modified clinical evaluation was recommended and only following a risk assessment. Instrumental assessments were often considered aerosol generating, especially transnasal procedures such as endoscopy and manometry. For this reason, many associations recommended that these examinations be performed only when essential and with appropriate personal protective equipment. Guidelines recommended that intervention should focus on compensatory strategies, including bolus modification, maneuvers/postural changes, and therapeutic exercises that can be conducted with physical distancing. Respiratory training devices were not recommended during rehabilitation. Conclusions International associations have provided extensive guidance regarding the level of risk related to the management of dysphagia in this population. To date, there are no scientific papers offering disease and/or recovery profiling for patients with dysphagia and coronavirus disease 2019. As a result, research in this area is urgently needed.

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This article presents experimental investigations of exchange-biased Permalloy planar Hall effect sensor crosses with a fixed active area of w ϫ w =40ϫ 40 m 2 and Permalloy thicknesses of t = 20, 30, and 50 nm. It is shown that a single domain model describes the system well and that the thicker film will have a higher signal as well as a lower noise. It is estimated that the signal-to-noise ratio for bead detection increases by a factor 2.1 when t is increased from 20 to 50 nm and hence a higher t is beneficial for biosensor applications. This is exemplified with calculations on M-280 Dynabeads®.

This work address hyperspectral imaging systems use for maritime target detection using unmanned aerial vehicles. Specifically, by working in the creation of a hyperspectral real-time data processing system pipeline. We develop a boresight calibration method that allows to calibrate the position of the navigation sensor related to the camera imaging sensor, and improve substantially the accuracy of the target geo-reference. We also develop an unsupervised method for segmenting targets (boats) from their dominant background in real-time. We evaluated the performance of our proposed system for target detection in real-time with UAV flight data and present detection results comparing favorably our approach against other state-ofthe-art method.

Purpose -Infrared thermography is increasingly being used to diagnose pathologies in buildings, such as façade defects. The purpose of this paper is to assess the results reproducibility and the equipment influence on the measurements. To do so, it was defined as case study the assessment of rendering delamination. Design/methodology/approach -Two infrared cameras of different makers were used to detect the presence of defects deliberately created in specimens. The tests were done in the laboratory with a heat source. The defects were detected through a temperature gradient between the zones with and without defect. Findings -With this thermographic imaging, it was possible to identify the defects in the specimen both qualitatively and quantitatively. The results were found to be reproducible in the three cycles performed. The influence of the equipment on the results was of little significance for the quantitative assessment criterion "temperature difference between zones with and without defect", but for the criterion "absolute surface temperature", the difference in the results yielded by the two cameras was around 1.8°C. Originality/value -The results suggest that there is reproducibility of the measurements, considering both the qualitative and quantitative approach, when assessing delamination, irrespective of the maker of the equipment used. The influence of the equipment on the results depends on the quantitative assessment criterion used.

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This paper addresses the development of a remote hyperspectral imaging system for detection and characterization of marine litter concentrations in an oceanic environment. The work performed in this paper is the following: (i) an in-situ characterization was conducted in an outdoor laboratory environment with the hyperspectral imaging system to obtain the spatial and spectral response of a batch of marine litter samples; (ii) a real dataset hyperspectral image acquisition was performed using manned and unmanned aerial platforms, of artificial targets composed of the material analyzed in the laboratory; (iii) comparison of the results (spatial and spectral response) obtained in laboratory conditions with the remote observation data acquired during the dataset flights; (iv) implementation of two different supervised machine learning methods, namely Random Forest (RF) and Support Vector Machines (SVM), for marine litter artificial target detection based on previous training. Obtained results show a marine litter automated detection capability with a 70–80% precision rate of detection in all three targets, compared to ground-truth pixels, as well as recall rates over 50%.