84 research outputs found

    Qualité des pommes de terre : nouvelles méthodes d'évaluation calibrées sur l'analyse sensorielle

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    Quality of potatoes : new assessment methods calibrated by means of sensory analysis [frying index]. For the potato sector, raw material quality became an important criterium because it determines the type of use and the transformation ability of the tubers. It is now primordial to be able to identify the quality level of a share by reliable and objective methods. The qualitative criteria of potatoes are for the most estimated via sensory tests. During this survey, we measured several texture descriptors (desintegration, flouriness, granulation), the flesh colour, the after-cooking blackening susceptibility, the taste intensity and the after-frying coloration of the samples. In order to get rid of the human subjectivity, we studied the potentialities of near infrared spectrometry (NIRS) and of image analysis to predict or to measure these sensory behaviours. We observed high correlation between real values and values predicted by NIRS models, mainly for texture descriptors and flesh colour. Frying index prediction by NIRS is acceptable, but less precise than its measurement by image analysis

    Wearable textile antenna in substrate integrated waveguide technology

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    <Session 3: Biomedical Technology>Assessing radio frequency electromagnetic field exposure with a wearable network of dosimeters

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    19–22 May 2022 Kyoto, JapanIn contrast to the tremendous increase of wireless applications, the knowledge about daily life radio frequency electromagnetic field (RF-EMF) exposure remains low. Some research has already been conducted using large commercial single-antenna on-body dosimeters to assess daily RF-EMF exposure in different environments. To increase measurement quality and decrease variability however, a distributed, wearable body sensor network spread over the body for the assessment of RF-EMF exposure is desired. As a better alternative to the common single node assessment technique, this work therefore presents a wearable sensor network consisting of five nodes for the assessment of exposure in the 389 to 464, 779 to 950 and 2400 to 2483.5MHz bands using only two transceivers per node. A single node supports an antenna connection for the first band, two for the second and two for the third band. This makes antenna diversity possible and hence increases sensitivity for specific frequencies, depending on the choice of antenna design. Every node is powered by two AAA batteries, which define the size of the system (53x25x15mm), making it smaller than any other commercially available dosimeter. Furthermore, the device supports an inertial sensor for the assessment of body posture and/or activity during the measurement

    The effect of antenna polarization and body morphology on the measurement uncertainty of a wearable multi-band distributed exposure meter

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    This paper studies the effect of antenna polarization on measurement uncertainty of a multi-band body-worn distributed exposure meter (BWDM). The BWDM is a device for assessing electromagnetic fields in real environments accurately. The BWDM consists of 8 nodes and is calibrated on the body for simultaneous measurement of the incident power density in four frequency bands. Each node contains an antenna that can have two potential antenna polarizations.The BWDM is calibrated on four human subjects in an anechoic chamber to determine its measurement uncertainty in terms of 68% confidence interval (CI68) of the on-body antenna aperture. The results show that using a fixed polarization of the antennas on body can lead to a different CI68 up to maximum 4.9 dB when worn by another person which is still 9.6 dB lower than the measurement uncertainty of commercial exposure meters

    Using Affiliation Networks to Study the Determinants of Multilateral Research Cooperation Some empirical evidence from EU Framework Programs in biotechnology

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    This paper studies multilateral cooperation networks among organizations and work on a two-mode representation to study the decision to participate in a consortium. Our objective is to explain the underlying processes that give rise to multilateral collaboration networks. Particularly, we are interested in how heterogeneity in organizations' attributes plays a part and in the geographical dimension of this formation process. We use the data on project proposals submitted to the 7th Framework Program (FP) in the area of Life sciences, Biotechnology and Biochemistry for Sustainable Non-Food. We employ exponential random graph models (p* models) (Frank and Strauss, 1986 ; Wasserman and Pattison, 1996) with node attributes (Agneessens et al., 2004), and we make use of extensions for affiliation networks (Wang et al., 2009). These models do not only enable handling variability in consortium sizes but also relax the assumption on tie/triad independence. We obtained some preliminary results indicating institutional types as a source of heterogeneity affecting participation decisions. Also, these initial results point out that organizations take their potential partners' participations in other projects into account in giving their decision ; organizations located in the core European countries tend to participate in the same project ; the tendency to preserve the composition of a consortium across projects and the tendency of organizations with the same institutional type to co-participate are not significant

    Social capital and employee well-being: Disentangling intrapersonal and interpersonal selection and influence mechanisms

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    We argue that sociological explanations proposed within the social capital framework to explain individual well-being are incomplete because they do not differentiate between interpersonal influence and selection mechanisms, on the one hand, and cognitive intra-personal processes, on the other. To this end, three theoretical models of the dynamic interaction between interpersonal trust and job satisfaction will be used to derive and empirically test six hypotheses. First, according to influence mechanisms, an individual's job satisfaction can be the result of the number of sociometric trust choices he or she receives (popularity effect) or the level of job satisfaction of those actors he/she trusts (contagion effect). Second, selection mechanisms postulate that a focal actor will be more likely to develop interpersonal trust in colleagues with a high job satisfaction (attractiveness effect) or with similar levels of job satisfaction as the focal actor (homophily effect). Third, according to intrapersonal spillover mechanisms, a high level of job satisfaction can either facilitate the creation of interpersonal trust relationships (satisfaction spillover effect), or individuals initiating a high number of interpersonal trust relationships can exhibit higher levels of satisfaction (trust spillover effect). To simultaneously test these six hypotheses, longitudinal intra-organizational social network data from a Dutch housing company (n = 57) were used. We found a significant contagion effect, but no support for a popularity effect or either selection effect. Moreover, contrary to what we expected, employees with a low level of job satisfaction were significantly more likely to develop trust relationships with others
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