HASH(0x563d43ffc618)

HASH(0x563d440d1bf8

The use of ultrasonography in the perioperative management of penetrating chest trauma with indwelling blade

We report on the anaesthetic and postoperative analgesic management of a patient presenting with a single penetrating thoracic injury, with radiological confirmation of a foreign object still present in the thorax. The patient underwent an emergency right posterolateral thoracotomy. We discuss the use of ultrasound for the insertion of a paravertebral catheter for perioperative analgesic management, and its efficacy in the emergency setting. Furthermore, we discuss the use of perioperative focus assessed transthoracic echocardiography, which had a positive impact on our management, although the case highlights the need for further large multi-centre trials.Keywords: focus assessed transthoracic echocardiography (FATE), paraverterbral block, penetrating thoracic injury, thoracotomy, ultrasound-guided regional anaesthesi

Fault diagnosis using a combined model and data based approach: application to a water cooling machine

© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other worksIn this paper, the problem of fault diagnosis of an industrial water cooling system is addressed using a combined data-driven and model based approach. Using the energy balance equations, the design of the fault diagnosis system is based on structural analysis. As result of this analysis, a set of Minimally Structurally Overdetermine Sets (MSOs) are obtained presenting the desired fault detectability and isolability properties. Since the mathematical expressions of such MSOs are very complex and highly non-linear, and there are an important number of parameters that should be estimated from data, a system identification approach based on machine learning techniques is used. Not only the nominal model but also the error model is estimated. Finally, the proposed approach is tested with the data obtained from a water cooling machine.This work has been funded by the Catalan Agency for Management of University and Research Grants (AGAUR) ACCIO RIS3CAT UTILITIES 4.0 P4 ACTIV 4.0 and Grant 001-P-001643 Agrupacio Looming FactoryPeer ReviewedPostprint (author's final draft

A Nonperturbative Eliasson's Reducibility Theorem

This paper is concerned with discrete, one-dimensional Schr\"odinger operators with real analytic potentials and one Diophantine frequency. Using localization and duality we show that almost every point in the spectrum admits a quasi-periodic Bloch wave if the potential is smaller than a certain constant which does not depend on the precise Diophantine conditions. The associated first-order system, a quasi-periodic skew-product, is shown to be reducible for almost all values of the energy. This is a partial nonperturbative generalization of a reducibility theorem by Eliasson. We also extend nonperturbatively the genericity of Cantor spectrum for these Schr\"odinger operators. Finally we prove that in our setting, Cantor spectrum implies the existence of a $G_\delta$-set of energies whose Schr\"odinger cocycle is not reducible to constant coefficients

Quantum Chaos and Regularity in Ultracold Fermi Gases

Quantum fluctuation of the energy is studied for an ultracold gas of interacting fermions trapped in a three-dimensional potential. Periodic-orbit theory is explored, and energy fluctuations are studied versus particle number for generic regular and chaotic systems, as well for a system defined by a harmonic confinement potential. Temperature effects on the energy fluctuations are investigated.Comment: 4 pages, 5 figure

Optimism moderates psychophysiological responses to stress in older people with Type 2 diabetes

Optimism is thought to be beneficial for health, and these effects may be mediated through modifications in psychophysiological stress reactivity. Type 2 diabetes (T2D) is associated with reduced cardiovascular responses to stress and heightened cortisol over the day. This study assessed the relationships between optimism, stress responsivity, and daily cortisol output in people with T2D. A total of 140 participants with T2D were exposed to laboratory stress. Heart rate (HR), systolic (SBP), diastolic blood pressure (DBP), and cortisol were measured throughout the session. Cortisol output over the day was also assessed. Optimism and self-reported health were measured using the revised Life Orientation Test and the Short Form Health Survey. Optimism was associated with heightened SBP and DBP stress reactivity (ps  .180). Low optimism was related to poorer self-reported physical and mental health (ps < .01). Optimism could have a protective role in modulating stress-related autonomic and neuroendocrine dysregulation in people with T2D

Generation of All-in-Focus Images by Noise-Robust Selective Fusion of Limited Depth-of-Field Images

The limited depth-of-field of some cameras prevents them from capturing perfectly focused images when the imaged scene covers a large distance range. In order to compensate for this problem, image fusion has been exploited for combining images captured with different camera settings, thus yielding a higher quality all-in-focus image. Since most current approaches for image fusion rely on maximizing the spatial frequency of the composed image, the fusion process is sensitive to noise. In this paper, a new algorithm for computing the all-in-focus image from a sequence of images captured with a low depth-of-field camera is presented. The proposed approach adaptively fuses the different frames of the focus sequence in order to reduce noise while preserving image features. The algorithm consists of three stages: 1) focus measure; 2) selectivity measure; 3) and image fusion. An extensive set of experimental tests has been carried out in order to compare the proposed algorithm with state-of-the-art all-in-focus methods using both synthetic and real sequences. The obtained results show the advantages of the proposed scheme even for high levels of noise