Search results for "technologies"
showing 10 items of 2976 documents
Combining gestures and vocalizations to imitate sounds
2015
International audience; Communicating about sounds is a difficult task without a technical language, and naïve speakers often rely on different kinds of non-linguistic vocalizations and body gestures (Lemaitre et al. 2014). Previous work has independently studied how effectively people describe sounds with gestures or vocalizations (Caramiaux, 2014, Lemaitre and Rocchesso, 2014). However, speech communication studies suggest a more intimate link between the two processes (Kendon, 2004). Our study thus focused on the combination of manual gestures and non-speech vocalizations in the communication of sounds. We first collected a large database of vocal and gestural imitations of a variety of …
Comparing identification of vocal imitations and computational sketches of everyday sounds
2016
International audience; Sounds are notably difficult to describe. It is thus not surprising that human speakers often use many imitative vocalizations to communicate about sounds. In practice,vocal imitations of non-speech everyday sounds (e.g. the sound of a car passing by) arevery effective: listeners identify sounds better with vocal imitations than with verbal descriptions, despite the fact that vocal imitations are often inaccurate, constrained by the human vocal apparatus. The present study investigated the semantic representations evoked by vocal imitations by experimentally quantifying how well listeners could match sounds to category labels. Itcompared two different types of sounds…
Innovative non-thermal technologies affecting potato tuber and fried potato quality
2019
Abstract Background Potatoes are important tubers for human consumption, providing an essential source of energy and great nutritional characteristics for human health. However, before consumption, potato tubers need to be stored and processed. As frying is the most common technique used in potato processing, fried potato is the most important processed potato product. Some food characteristics, provided by the frying process, are considered desirable, but others are harmful to human health and, thereby the main challenge is to reduce the formation of the undesirable characteristics, without compromising the sensorial attributes. Scope and approach In this review, the origin, economic impor…
Remote sensing image segmentation by active queries
2012
Active learning deals with developing methods that select examples that may express data characteristics in a compact way. For remote sensing image segmentation, the selected samples are the most informative pixels in the image so that classifiers trained with reduced active datasets become faster and more robust. Strategies for intelligent sampling have been proposed with model-based heuristics aiming at the search of the most informative pixels to optimize model's performance. Unlike standard methods that concentrate on model optimization, here we propose a method inspired in the cluster assumption that holds in most of the remote sensing data. Starting from a complete hierarchical descri…
Reaching professional skills with the Final Master Thesis: Collaboration towards actual solutions
2019
[EN] In order to motivate the student through a professional experience, and to improve the teaching-learning process by letting the student gain experience, we implement a collaborative learning-through-service methodology. This method increases the student involvement level and the deep understanding of the tools. As a matter of example, we present the implementation of this method in the Final Master Thesis (FMTh) of the Master on Corporate Finance at the University of Valencia (UV). In these FMTh, students have to valuate an actual innovation developed by UV researchers (on chemistry, in this case) with the goal of helping them to transfer (sell) this innovation to the industry. This co…
A distributed real-time data prediction and adaptive sensing approach for wireless sensor networks
2018
International audience; Many approaches have been proposed in the literature to reduce energy consumption in Wireless Sensor Networks (WSNs). Influenced by the fact that radio communication and sensing are considered to be the most energy consuming activities in such networks. Most of these approaches focused on either reducing the number of collected data using adaptive sampling techniques or on reducing the number of data transmitted over the network using prediction models. In this article, we propose a novel prediction-based data reduction method. furthermore, we combine it with an adaptive sampling rate technique, allowing us to significantly decrease energy consumption and extend the …
Automation, workers' skills and job satisfaction.
2020
When industrial robots are adopted by firms in a local labor market, some workers are displaced and become unemployed. Other workers that are not directly affected by automation may however fear that these new technologies might replace their working tasks in the future. This fear of a possible future replacement is important because it negatively affects workers’ job satisfaction at present. This paper studies the extent to which automation affects workers’ job satisfaction, and whether this effect differs for high- versus low-skilled workers. The empirical analysis uses microdata for several thousand workers in Norway from the Working Life Barometer survey for the period 2016–2019, combin…
Diagnostic genetic screening for assisted reproductive technologies patients with macrozoospermia
2017
International audience; Macrozoospermia is characterized by a high proportion of abnormal spermatozoa with enlarged heads. So far, it has been associated with mutations only in the Aurora Kinase C gene (AURKC) in some cases. Although many publications have reported failure to conceive in couples with macrozoospermia, a few others have described successful pregnancies, thus raising questions as to whether ICSI and AURKC genetic screening should be recommended in all patients with macrozoospermia. First, we report on two monozygotic twins presenting macrozoospermia for whom the genetic status was explored (Aurora Kinase C sequencing) and whole semen and gradient-selected spermatozoa were anal…
Are student nurses ready for new technologies in mental health? Mixed-methods study
2020
Abstract Background Technical innovations such as ecological momentary assessment (EMA), machine learning (ML), computerized adaptive testing (CAT), Digital Phenotyping, Clinical Decision Support Systems (CDSS), Algorithms, and Biomarkers have caused a paradigm shift in psychiatric care. The aim of the present study was to explore how student nurses view this paradigm shift, by assessing the acceptability of smartphone-based EMA, CAT, and biosensor-based Digital Phenotyping. We also investigated the factors affecting this acceptability. Method Student nurses recruited via nursing schools participated in a quantitative study involving the screenplay method, in which they were exposed to two …
Skull Bone Defects Reconstruction with Custom-Made Titanium Graft shaped with Electron Beam Melting Technology: Preliminary Experience in a Series of…
2017
Background: Cranioplasty represents a challenge in neurosurgery. Its goal is not only plastic reconstruction of the skull but also to restore and preserve cranial function, to improve cerebral hemodynamics, and to provide mechanical protection of the neural structures. The ideal material for the reconstructive procedures and the surgical timing are still controversial. Many alloplastic materials are available for performing cranioplasty and among these, titanium still represents a widely proven and accepted choice. Methods: The aim of our study was to present our preliminary experience with a “custom-made” cranioplasty, using electron beam melting (EBM) technology, in a series of ten patien…