196,178 research outputs found

    Mobile mpox detection system Supplementary Material

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    This repository contains the supplementary material accompanying the paper named: A Transfer Learning and Explainable Solution to Detect mpox from Smartphones images. Specifically, here can be found all the scripts to replicate the experiments and figures/tables presented in the manuscript. Please, refer to the README.md file for more details.This work was produced with the co-funding European Union - Next Generation EU, in the context of The National Recovery and Resilience Plan. The funding derives partially from Investment 1.5 Ecosystems of Innovation, Project Tuscany Health Ecosystem (THE), CUP: B83C22003920001 in which the authors M. G. Campana and F. Delmastro are involved, from Project MUSA – Multilayered Urban Sustainability Action in the Investment 1.5 Ecosystems of Innovation in which the author S. Mascetti is involved, and from the Research and Innovation Program PE00000014, ``SEcurity and RIghts in the CyberSpace (SERICS)'', CUP: J33C22002810001, in which the author E. Pagani is involved

    Mpox Close Skin Images

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    <p>The <strong>Mpox Close Skin Images</strong> dataset (<strong>MCSI</strong>) is a collection of skin images obtained from diverse public sources, that we accurately pre-processed (i.e., cropped and zoomed) in order to focus the skin lesion (if present), and to evaluate Machine Learning models aimed at detecting different pathologies from skin lesion pictures taken with smartphone cameras.<br> <br> It includes a total of 400 pictures homogeneously divided in 4 different classes: <em>mpox</em>, which contains samples of mpox (formerly Monkeypox) skin lesions; <em>chickenpox</em>, with samples of chickenpox cases; <em>acne</em>, containing samples of acne at different severity levels; and <em>healthy</em>, which contains samples of skin without any evident symptoms.<br> <br> This repository is part of the supplementary material accompanying the paper named: <em>A Transfer Learning and Explainable Solution to Detect mpox from Smartphones images</em>.<br> <br> Please, refer to the <em>README.md</em> file for more details.</p>This work was produced with the co-funding European Union - Next Generation EU, in the context of The National Recovery and Resilience Plan. The funding derives partially from Investment 1.5 Ecosystems of Innovation, Project Tuscany Health Ecosystem (THE), CUP: B83C22003920001 in which the authors M. G. Campana and F. Delmastro are involved, from Project MUSA – Multilayered Urban Sustainability Action in the Investment 1.5 Ecosystems of Innovation in which the author S. Mascetti is involved, and from the Research and Innovation Program PE00000014, "SEcurity and RIghts in the CyberSpace (SERICS)", CUP J33C22002810001, in which the author E. Pagani is involved

    Titian's secret: comparison of Eleonora Gonzaga della Rovere's skull with the Uffizi portrait

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    The present paper describes the study of a skeleton, kept at the Church of Santa Chiara in Urbino, Italy. Traditionally, this skeleton was thought to be that of the Duchess Eleonora Gonzaga della Rovere (1493-1550), but suspicion exists as to whether or not the remains might belong to another important personage of the Urbino Renaissance, Battista Sforza (1447-1472). Here, external observation of the skull and odontological examination of the mandible were conducted in an attempt to clarify the identity. Age estimates of the skeleton were found to be consistent with the age at death of Eleonora but not with that of Battista. Craniofacial superimposition using the portrait of Eleonora Gonzaga by Titian (Galleria degli Uffizi, Florence) shows that the face of Eleonora matches the skull fairly closely except for the length of the nose. The historical record and the age matching appear to provide strong evidence that the remains are those of Eleonora, and the discrepancies in the superimposition may suggest that the artist altered the dimension of the Duchess' nose, possibly to make the portrait correspond to his canons of classical beauty. The results highlight the potential of forensic methods as a key to understand the work of earlier painters

    TypeInBraille : quick eyes-free typing on smartphones

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    In recent years, smartphones (e.g., Apple iPhone) are getting more and more widespread among visually impaired people. Indeed, thanks to natively available screen readers (e.g., VoiceOver) visually impaired persons can access most of the smartphone functionalities and applications. Nonetheless, there are still some operations that require long time or high mental workload to be completed by a visually impaired person. In particular, typing on the on-screen QWERTY keyboard turns out to be challenging in many typical contexts of use of mobile devices (e.g., while moving on a tramcar). In this paper we present the results of an experimental evaluation conducted with visually impaired people to compare the native iPhone on-screen QWERTY keyboard with TypeInBraille, a recently proposed typing technique based on Braille. The experimental evaluation, conducted in different contexts of use, highlights that TypeInBraille significantly improves typing efficiency and accuracy

    Mechanism of formation of the peroxocarbonate complex (PCy3)2Ni(CO4) from solid (PCy3)2Ni(CO2) and dioxygen: An example of solid-state metallorganic reaction involving CO2 deco-ordination and reinsertion into the O-O bond of (PCy3)2Ni(O2)

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    Solid (PCy3)2Ni(CO2) (1) reacts with dioxygen to afford the peroxocarbonate complex (PCy3)2Ni(CO4) (3). The use of labelled 13CO2, C18O2, 18O2 coupled with a FTIR study of both the gas-phase in equilibrium with the solid and the solid resulting complex, allows to propose the reaction mechanism that implies CO2 deco-ordination, O2 co-ordination, and CO2 insertion into the O-O bond of the newly formed, reactive (PCy3)2Ni(O2) complex 2. A normal mode analysis substantiates the band assignment and the proposed mechanism. Peroxocarbonate (3) exhibits a 13C resonance at 166.6 ppm and a single 31P signal at 43.1 ppm below 200 K. The reactivity of the peroxo-group as one-oxygen transfer agent prevents the spectroscopic characterisation of 3 in solution at room temperature. An out-of-sphere phosphine can be easily oxidised. A gaseous olefin, mono-ene (ethylene) or diene (allene), added to 3, makes easier the deco-ordination process of one phosphine ligand, that is then oxidised to phosphine oxide. The gaseous olefin itself is not oxidised until free phosphine is present in the medium. In solution, styrene is oxidised through a two- or one-oxygen transfer pathway, according to the reaction condition. © 2002 Published by Elsevier Science B.V

    TypeInBraille : a braille-based typing application for touchscreen devices

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    Smartphones provide new exciting opportunities to visually impaired users because these devices can support new assistive technologies that cannot be deployed on desktops or laptops. Some devices, like the iPhone, are rapidly gaining popularity among the visually impaired since the use of pre-installed screenreader applications renders these devices accessible. However, there are still some operations that require a longer time or higher mental workload to be completed by a visually impaired user. In this contribution we present a novel application for text entry, called TypeInBraille, that is based on the Braille code and hence is specifically designed for blind users

    Mind your crossings : Mining GIS imagery for crosswalk localization

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    For blind travelers, finding crosswalks and remaining within their borders while traversing them is a crucial part of any trip involving street crossings. While standard Orientation & Mobility (O&M) techniques allow blind travelers to safely negotiate street crossings, additional information about crosswalks and other important features at intersections would be helpful in many situations, resulting in greater safety and/or comfort during independent travel. For instance, in planning a trip a blind pedestrian may wish to be informed of the presence of all marked crossings near a desired route. We have conducted a survey of several O&M experts from the United States and Italy to determine the role that crosswalks play in travel by blind pedestrians. The results show stark differences between survey respondents from the U.S. compared with Italy: the former group emphasized the importance of following standard O&M techniques at all legal crossings (marked or unmarked), while the latter group strongly recommended crossing at marked crossings whenever possible. These contrasting opinions reflect differences in the traffic regulations of the two countries and highlight the diversity of needs that travelers in different regions may have. To address the challenges faced by blind pedestrians in negotiating street crossings, we devised a computer vision-based technique that mines existing spatial image databases for discovery of zebra crosswalks in urban settings. Our algorithm first searches for zebra crosswalks in satellite images; all candidates thus found are validated against spatially registered Google Street View images. This cascaded approach enables fast and reliable discovery and localization of zebra crosswalks in large image datasets.While fully automatic, our algorithm can be improved by a final crowdsourcing validation. To this end, we developed a Pedestrian Crossing Human Validation web service, which supports crowdsourcing, to rule out false positives and identify false negatives
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