320 research outputs found

    An IoT Model for Coping with Trade-offs in Designing Smart Environments

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    The Internet of Things (IoT) world is composed by a huge number of different so called “smart devices” and every year new and different models are released on the mass market. Most of those devices are intended to be used by professional people or by companies. Thanks to the constant growth of the “smart objects”, end users and people with low or no-knowledge of the IT-world get in touch with these pieces of technology. Those people are expected to use the smart devices “out of the box” and in a very simple and easy way so, the human-device interaction needs to be as easiest as possible. Despite of this need, end users are commonly faced with thousand of different technological standards which are hard to evaluate without a solid IT background. Thus, the comparison to understand which IoT device performs better in a particular situation become complicated. In this paper we propose a comparison of two different IoT solutions using an IoT model. The model assesses the different technical specifications of the devices and then extracts a “score” for each technological aspect. The end user can use the score to better understand the points of strength and the weaknesses of the devices. Copyright © 2018 for the individual papers by the papers' authors

    Unique Continuation Properties from one time for hyperbolic Schr\"odinger equations

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    In this paper, we investigate properties of unique continuation for hyperbolic Schr\"odinger equations with time-dependent complex-valued electric fields and time-independent real magnetic fields. We show that positive masses inside of a bounded region at a single time propagate outside the region and prove gaussian lower bounds for the solutions, provided a suitable average in space-time cylinders is taken.Comment: arXiv admin note: substantial text overlap with arXiv:2107.1078

    Comparison of pain perception between open and minimally invasive surgery in total knee arthroplasty

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    Total knee arthroplasty (TKA) was a well-established procedure that had shown excellent long-term results in terms of reduced pain and increased mobility. Pain was one of the most important outcome measures that contributed to patient dissatisfaction after TKA. After a computerized search of the Medline and Embase databases, we considered articles from January 1st, 1997 to October 31st, 2009 that underlined the impact on patient pain perception of either standard open total knee arthroplasty or minimally invasive total knee arthroplasty. We included articles that used the visual analog scale (VAS), Western Ontario and McMasters Universities Osteoarthritis Index (WOMAC), Knee Score, Hospital for Special Surgery Score (HSS), Oxford Knee Score (OKS) as postoperative pain indicators, and we included studies with a minimum follow-up period of two months. We excluded studies that monitored only functional postoperative knee activities. It was shown that TKA with the open technique was a better treatment for knees with a positive effect on pain and function than the minimally invasive technique

    Parametrical analysis of the degradation of gas phase trichloroetylene in a photocatalytic reactor with titanium dioxide coated glass fiber meshes

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    El estudio de la degradación de Tricloroetileno (TCE) en aire en un reactor fotocatalítico con dióxido de titanio depositado sobre un lecho fijo ha permitido obtener en un trabajo previo, una expresión cinética que contempla la influencia de la concentración del contaminante, la Radiación Incidente y el efecto competitivo del agua y el TCE por los sitios activos del catalizador(1). En este trabajo se resuelve numéricamente la ecuación diferencial en derivadas parciales de transferencia de materia en un reactor fotocatalítico constituido por mallas de vidrio con dióxido de titanio depositado e irradiadas mediante radiación UV. Esta solución numérica evita la introducción de un coeficiente de transferencia de materia sobre la superficie catalítica, obtenido a partir de correlaciones típicas para interfaces gas-sólido bajo el régimen de flujo correspondiente(2,3). Modificando los parámetros relevantes del sistema resulta posible simular el comportamiento del reactor bajo distintas condiciones de operación.The analysis of Trichloroethylene (TCE) degradation in air in a photocatalytic reactor with titanium dioxide coated on a fixed bed has provided in a previous work, a Kinetic expression which takes into account the pollutant concentration, the Incident Radiation and the competition between water and TCE for the photocatalytic active sites(1). In this work, the numerical solution of the mass transfer partial differential equation in a photocatalytic reactor with glass fiber meshes coated with titanium dioxide and UV irradiated is accomplished. This numerical solution avoids the use of a mass transfer coefficient over the catalytic surface, obtained by means of typical correlations for gas-solid interfaces under the correspondent flow regime(2,3). Changing the relevant system parameters, it is possible to simulate the reactor behaviour under different operation conditions.Fil: Esterkin, C. R.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaFil: Negro, Antonio Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaFil: Cassano, Alberto Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaFil: Alfano, Orlando Mario. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentin

    Optical study on the dependence of breast tissue composition and structure on subject anamnesis

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    Time domain multi-wavelength (635 to 1060 nm) optical mammography was performed on 200 subjects to estimate their average breast tissue composition in terms of oxy- and deoxy-hemoglobin, water, lipid and collagen, and structural information, as provided by scattering parameters (amplitude and power). Significant (and often marked) dependence of tissue composition and structure on age, menopausal status, body mass index, and use of oral contraceptives was demonstrated

    Region-dependent effects of flibanserin and buspirone on adenylyl cyclase activity in the human brain

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    The mode of action of antidepressant drugs may be related to mechanisms of receptor adaptation, involving overall the serotonin 1A (5-HT1A) receptor subtype. However, so far, the clinical effectiveness of selective compounds acting at this level has proved disappointing. This could be explained by the heterogeneity of 5-HT1A receptors within the central nervous system. In animals, two 5-HT1A agonists, flibanserin and buspirone, have shown different pharmacological properties, depending on the brain region. Since no evidence supports this observation in humans, this study sought to investigate whether these two drugs exert different effects on 5-HT1A receptor activation in three different human brain areas: the prefrontal cortex, hippocampus and raphe nuclei. 5-HT1A-mediated inhibition of forskolin-stimulated adenylyl cyclase (AC) was taken as an index of 5-HT1A receptor activation. Flibanserin significantly reduced the activity of AC post-synaptically, i.e. in the prefrontal cortex [EC50 (mean +/- S.E.M.), 28 +/- 10.2 nM; Emax, 18 +/- 2.3%] and in the hippocampus (EC50, 3.5 +/- 3.1 nM; Emax, 20 +/- 4.0%), but had no effect in the raphe nuclei, i.e. at pre-synaptic level. Vice versa, buspirone was only slightly but significantly effective in the raphe (EC50, 3.0 +/- 2.8 nM; Emax, 12 +/- 1.9%). Agonist effects were sensitive to the 5-HT1A antagonists WAY-100135 and pindobind 5-HT1A in the cortex and raphe nuclei, whereas buspirone antagonized flibanserin in the hippocampus. These findings suggest a region-related action of flibanserin and buspirone on forskolin-stimulated AC activity in human brain

    CAESAR models for developmental toxicity

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    <p>Abstract</p> <p>Background</p> <p>The new REACH legislation requires assessment of a large number of chemicals in the European market for several endpoints. Developmental toxicity is one of the most difficult endpoints to assess, on account of the complexity, length and costs of experiments. Following the encouragement of QSAR (<it>in silico</it>) methods provided in the REACH itself, the CAESAR project has developed several models.</p> <p>Results</p> <p>Two QSAR models for developmental toxicity have been developed, using different statistical/mathematical methods. Both models performed well. The first makes a classification based on a random forest algorithm, while the second is based on an adaptive fuzzy partition algorithm. The first model has been implemented and inserted into the CAESAR on-line application, which is java-based software that allows everyone to freely use the models.</p> <p>Conclusions</p> <p>The CAESAR QSAR models have been developed with the aim to minimize false negatives in order to make them more usable for REACH. The CAESAR on-line application ensures that both industry and regulators can easily access and use the developmental toxicity model (as well as the models for the other four endpoints).</p

    Optical discrimination between malignant and benign breast lesions

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    Time domain multi-wavelength (635 to 1060 nm) optical mammography was performed on 82 subjects with breast lesions (45 malignant and 38 benign lesions). A perturbative approach based on the high-order calculation of the pathlength of photons inside the lesion was applied to estimate differences between lesion and average healthy breast tissue in terms of: i) absorption properties, and ii) concentration of the major tissue constituents (oxy- and deoxy-hemoglobin, water, lipid and collagen). The absorption difference a between lesion and healthy tissue is significantly different for malignant vs. benign lesions at all wavelengths. Logistic regression fitted to the absorption data identifies 975 nm as the key wavelength to discriminate malignant from benign lesions. When the difference in tissue composition between lesion and healthy tissue is considered, malignant lesions are characterized by significantly higher collagen content than benign lesions. Also the best model for the discrimination of malignant lesions obtained applying regression logistic to tissue composition is based only on collagen

    Non-invasive optical estimate of tissue composition to differentiate malignant from benign breast lesions: A pilot study

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    Several techniques are being investigated as a complement to screening mammography, to reduce its false-positive rate, but results are still insufficient to draw conclusions. This initial study explores time domain diffuse optical imaging as an adjunct method to classify non-invasively malignant vs benign breast lesions. We estimated differences in tissue composition (oxy-and deoxyhemoglobin, lipid, water, collagen) and absorption properties between lesion and average healthy tissue in the same breast applying a perturbative approach to optical images collected at 7 red-near infrared wavelengths (635-1060 nm) from subjects bearing breast lesions. The Discrete AdaBoost procedure, a machine-learning algorithm, was then exploited to classify lesions based on optically derived information (either tissue composition or absorption) and risk factors obtained from patient's anamnesis (age, body mass index, familiarity, parity, use of oral contraceptives, and use of Tamoxifen). Collagen content, in particular, turned out to be the most important parameter for discrimination. Based on the initial results of this study the proposed method deserves further investigation

    Time domain diffuse optical spectroscopy: In vivo quantification of collagen in breast tissue

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    Time-resolved diffuse optical spectroscopy provides non-invasively the optical characterization of highly diffusive media, such as biological tissues. Light pulses are injected into the tissue and the effects of light propagation on re-emitted pulses are interpreted with the diffusion theory to assess simultaneously tissue absorption and reduced scattering coefficients. Performing spectral measurements, information on tissue composition and structure is derived applying the Beer law to the measured absorption and an empiric approximation to Mie theory to the reduced scattering. The absorption properties of collagen powder were preliminarily measured in the range of 600-1100 nm using a laboratory set-up for broadband time-resolved diffuse optical spectroscopy. Optical projection images were subsequently acquired in compressed breast geometry on 218 subjects, either healthy or bearing breast lesions, using a portable instrument for optical mammography that operates at 7 wavelengths selected in the range 635-1060 nm. For all subjects, tissue composition was estimated in terms of oxy- and deoxy-hemoglobin, water, lipids, and collagen. Information on tissue microscopic structure was also derived. Good correlation was obtained between mammographic breast density (a strong risk factor for breast cancer) and an optical index based on collagen content and scattering power (that accounts mostly for tissue collagen). Logistic regression applied to all optically derived parameters showed that subjects at high risk for developing breast cancer for their high breast density can effectively be identified based on collagen content and scattering parameters. Tissue composition assessed in breast lesions with a perturbative approach indicated that collagen and hemoglobin content are significantly higher in malignant lesions than in benign ones
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