994 resultados para Harmonic balance algorithm
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BACKGROUND AND AIMS: Critically ill patients with complicated evolution are frequently hypermetabolic, catabolic, and at risk of underfeeding. The study aimed at assessing the relationship between energy balance and outcome in critically ill patients. METHODS: Prospective observational study conducted in consecutive patients staying > or = 5 days in the surgical ICU of a University hospital. Demographic data, time to feeding, route, energy delivery, and outcome were recorded. Energy balance was calculated as energy delivery minus target. Data in means+/-SD, linear regressions between energy balance and outcome variables. RESULTS: Forty eight patients aged 57+/-16 years were investigated; complete data are available in 669 days. Mechanical ventilation lasted 11+/-8 days, ICU stay 15+/-9 was days, and 30-days mortality was 38%. Time to feeding was 3.1+/-2.2 days. Enteral nutrition was the most frequent route with 433 days. Mean daily energy delivery was 1090+/-930 kcal. Combining enteral and parenteral nutrition achieved highest energy delivery. Cumulated energy balance was between -12,600+/-10,520 kcal, and correlated with complications (P < 0.001), already after 1 week. CONCLUSION: Negative energy balances were correlated with increasing number of complications, particularly infections. Energy debt appears as a promising tool for nutritional follow-up, which should be further tested. Delaying initiation of nutritional support exposes the patients to energy deficits that cannot be compensated later on.
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A major goal in the treatment of acute ischemia of a vascular territory is to restore blood flow to normal values, i.e. to "reperfuse" the ischemic vascular bed. However, reperfusion of ischemic tissues is associated with local and systemic leukocyte activation and trafficking, endothelial barrier dysfunction in postcapillary venules, enhanced production of inflammatory mediators and great lethality. This phenomenon has been referred to as "reperfusion injury" and several studies demonstrated that injury is dependent on neutrophil recruitment. Furthermore, ischemia and reperfusion injury is associated with the coordinated activation of a series of cytokines and adhesion molecules. Among the mediators of the inflammatory cascade released, TNF-alpha appears to play an essential role for the reperfusion-associated injury. On the other hand, the release of IL-10 modulates pro-inflammatory cytokine production and reperfusion-associated tissue injury. IL-1beta, PAF and bradykinin are mediators involved in ischemia and reperfusion injury by regulating the balance between TNF-alpha and IL-10 production. Strategies that enhance IL-10 and/or prevent TNF-alpha concentration may be useful as therapeutic adjuvants in the treatment of the tissue injury that follows ischemia and reperfusion.
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Every day, hospital doctors spend time at conducting ward rounds. Rounds are a core clinical activity during which doctors interact with patients, synthetise a whole set of informations and make many decisions. In addition, rounds can become a crucial teaching moment, when a trainee gets supervised by an attending physician. However, litterature on the topic of rounds is scarce. This paper summarizes the results of the few key studies focusing on ward rounds. The results are presented in four sections, each one being dedicated to one of the round stakeholders: the trainee or resident, the trainer, the patient and the nurse. An emphasis is put on ward rounds involving both a trainee and a trainer, since such rounds always mean striking a balance between care and teaching.
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Purpose: To determine the evolution of fear of falling, and its relationship with gait performance after a 10-week gait and balance training program. Population and methods: Participants (N=50) were community-dwelling elderly persons enrolled voluntarily in a 10-week, low intensity, gait and balance training program. At baseline, fear of falling was assessed using a previously validated version of Tinetti's Fall Efficacy Scale (FES, range 0-120, higher score indicating higher confidence), that assesses one's confidence in performing 12 activities of daily life without falling. Gait parameters were measured over a 20m walk at preferred gait speed, using the Physilog system (Aminian K, et al., J Biomechanics, 2002). This system uses 4 kinematics sensors attached to the lower limbs and a data logger carried by the subject. Follow-up data on fear of falling and gait were collected one week after completion of the program. Results: Overall, 43 (86%) of the participants completed the program. Mean age was 78.1 years, 79% were women. At baseline, mean FES score was 98.8 (range 58-120) and mean gait speed was 0.92 m/sec (range 0.43-1.47). At follow-up, participants modestly improved their FES score (98.8±17.0 vs 103.2±16.0, P=.04) and gait speed (0.92±0.27 vs 0.99±0.26 m/sec, P<.01). In secondary analyses stratified by subject's baseline FES, those with lower than average confidence (N=21) improved significantly both FES score (84.4±11.8 vs 94.5±17.9, P<.01) and gait speed (0.79±0.26 vs 0.90±0.28 m/sec, P<.01), while no similar improvement was observed in subjects (N=22) with higher baseline confidence (112.5±6.6 vs 111.5±7.5, P=.56 and 1.03±0.22 vs 1.07±0.21 m/sec, P=.41). After adjustment for age, gender and baseline gait speed, subjects with lower baseline confidence had higher odds than the others to improve their confidence (AdjOR=10.8, 95%CI 1.8- 64.8 P=.01) and gait speed (AdjOR=3.3, 95%CI 0.6-19.7, P=.19) at follow-up. Conclusions: This pilot program of low intensity exercise modestly improved participants' fear of falling and gait speed. Interestingly, subjects with higher baseline fear of falling seemed more likely to benefit. Despite methodological limitations (pre-post comparisons, small sample), these results suggest that measuring fear of falling might be useful to better target subjects most likely to benefit from similar programs.
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Recolecta sorgeix sota els auspicis de la Fundación para la Ciencia y la Tecnología (FECYT) i la Red Bibliotecas Universitarias Española (REBIUN) amb l'objectiu d'impulsar i coordinar la creació d'una infraestructura a nivell nacional de dipòsits digitals interoperables segons estàndards internacionals i actuar com a agència nacional respecte a la infraestructura global de dipòsits digitals científics com a part integrant de l'Espai Europeu de Recerca.Es presentaran els resultats i balanç de la seva activitat 2009 en el marc del Conveni Rebiun / Fecyt 2008-2009.
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Obesity appears when energy intake exceeds energy expenditure. The most important variable compound of energy expenditure is physical activity. The global epidemics of obesity seem closely related to reduced physical activity and sedentariness widely increasing nowadays. Once obesity has developed, caloric intake becomes similar to energy expenditure. To lose weight, besides decreasing energy intake, energy expenditure must be increased. The promotion of physical activity is difficult and so the results of treatment of obesity are discouraging for doctors, other health professionals and patients. Proactive efforts from patients and health providers with an intensive feedback between them may be extremely helpful. Nevertheless, more studies are needed to provide better approaches on the role of physical activity for the prevention and treatment of obesity and for long-term weight-loss maintenance.
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The multiscale finite volume (MsFV) method has been developed to efficiently solve large heterogeneous problems (elliptic or parabolic); it is usually employed for pressure equations and delivers conservative flux fields to be used in transport problems. The method essentially relies on the hypothesis that the (fine-scale) problem can be reasonably described by a set of local solutions coupled by a conservative global (coarse-scale) problem. In most cases, the boundary conditions assigned for the local problems are satisfactory and the approximate conservative fluxes provided by the method are accurate. In numerically challenging cases, however, a more accurate localization is required to obtain a good approximation of the fine-scale solution. In this paper we develop a procedure to iteratively improve the boundary conditions of the local problems. The algorithm relies on the data structure of the MsFV method and employs a Krylov-subspace projection method to obtain an unconditionally stable scheme and accelerate convergence. Two variants are considered: in the first, only the MsFV operator is used; in the second, the MsFV operator is combined in a two-step method with an operator derived from the problem solved to construct the conservative flux field. The resulting iterative MsFV algorithms allow arbitrary reduction of the solution error without compromising the construction of a conservative flux field, which is guaranteed at any iteration. Since it converges to the exact solution, the method can be regarded as a linear solver. In this context, the schemes proposed here can be viewed as preconditioned versions of the Generalized Minimal Residual method (GMRES), with a very peculiar characteristic that the residual on the coarse grid is zero at any iteration (thus conservative fluxes can be obtained).
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This paper proposes a parallel architecture for estimation of the motion of an underwater robot. It is well known that image processing requires a huge amount of computation, mainly at low-level processing where the algorithms are dealing with a great number of data. In a motion estimation algorithm, correspondences between two images have to be solved at the low level. In the underwater imaging, normalised correlation can be a solution in the presence of non-uniform illumination. Due to its regular processing scheme, parallel implementation of the correspondence problem can be an adequate approach to reduce the computation time. Taking into consideration the complexity of the normalised correlation criteria, a new approach using parallel organisation of every processor from the architecture is proposed
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In computer graphics, global illumination algorithms take into account not only the light that comes directly from the sources, but also the light interreflections. This kind of algorithms produce very realistic images, but at a high computational cost, especially when dealing with complex environments. Parallel computation has been successfully applied to such algorithms in order to make it possible to compute highly-realistic images in a reasonable time. We introduce here a speculation-based parallel solution for a global illumination algorithm in the context of radiosity, in which we have taken advantage of the hierarchical nature of such an algorithm