323,210 research outputs found
Management of exercise-induced glycaemic imbalances in type 1 diabetes
No full textRegular moderate-intensity exercise is strongly recommended for its beneficial effects in all people. In patients with type 1 diabetes, however, the exercise-associated glycemic imbalances remain an unresolved clinical challenge. Current guidelines require an in-depth understanding of the glycemic responses to exercise and each patient has to discover, by trial-and-error, his/her own strategy, several attempts being usually required to gain sufficient experience. Consequently, fear of hypoglycemia remains the strongest barrier to physical activity. This paper explores the potential strategies that may be employed to minimize the risk of exercise related glycemic imbalances. Moreover, a newly developed algorithm (ECRES, Exercise Carbohydrate Requirement Estimating Software) is described, which estimates on a patient-and situation-specific basis the glucose supplement required by the patient to maintain safe blood glucose levels. The algorithm was tested on 27 patients who performed three 1-hr constant intensity walks (each starting at a different time interval following insulin injection). Results showed that in 70.4% of the trials, independent of the time of day, the algorithm provided a satisfactory estimate of the carbohydrates needed by patients to complete the exercise with a glucose level within safe thresholds (i.e. 3.9 - 10 mmol·L -1). Despite the algorithm requires further experimental testing to be applied by the majority of patients, these results indicate its potential usefulness as a tool for preventing immediate exercise-induced glycemic imbalances (i.e. during exercise) in type 1 diabetic patients, in particular for spontaneous activities not planned in advance, thus allowing all insulin-dependent patients to safely enjoy the benefits of exercise
Design and real-time implementation of a low-cost noise reduction system for video applications
No full textDesign of a 17.3-21.2 GHz SATCOM Upconverter Based on COTS with Low Spurious Emission
No full textThis paper presents the design of an upconverter system based on Commercial Off-The-Shelf (COTS) components for the 17.3-21.2 GHz space-to-Earth Fixed Satellite Services (FSS) frequency band, with a variable Intermediate Frequency (IF) up to 4 GHz. The proposed system combines Upper SideBand (USB) and Lower Side-Band (LSB) frequency conversion modes and Local Oscillator (LO) leakage nulling techniques to enhance Spurious-Free Dynamic Range (SFDR). LO leakage nulling was used to show that it is possible to improve a minimum 31 dBc SFDR in the FSS bandwidth to 48 dBc. The upconverter was connected to a 10 W power amplifier, limited in the 17.3-20.2 GHz band, and its performance was compared with the International Telecommunication Union (ITU) recommendation on spurious emissions. The system is compliant for all the RF bandwidth within IF band 2.5-3.5 GHz and in the RF sub-band 17.8-20.2 GHz for IF band 3.5-4.0 GHz. The proposed system was then evaluated at sample RF and IF frequencies in terms of Error Vector Magnitude (EVM)
trab. dias
No full textIrregularAño I, n. 1 (feb. 1946) - Año VI, n. 15 (jun. 1951)Contiene los siguientes suplementos: Posibilidades actuales de la técnica histológica / por A. Carrato -- Consigna : suplemento político de Trabajos y días -- Crepúsculo sobre el Guadalquivir / Joaquín Rodrigo -- Apuntes de café / por Ramón Cuesta -- Paralipómenos al Fausto / Johann Wofang Von Goethe ; trad. de F. Maldonado de Guevar
Diagnostic Analytics for Pixelated Particle Detectors: A Case Study
No full textWe present a method for diagnostics analysis for pixelated particle detectors. The method is based on extracting information from the detector in the form of model parameters by using a representative mathematical model. To illustrate the procedure we analyzed real experimental data obtained with the electromagnetic calorimeter ECAL2 of the COMPASS experiment at CERN. Having observed the data, the typical pulses were fitted with a mathematical model. Heat maps were drawn to visualize the distribution of the mean values of each of the fitted parameters. This data visualization technique is useful for highlighting areas with similar behavior and detecting abnormal responses in single cells. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland A
Parallel Structures Based on Neural Netowrks for Image Compression
No full texthe problem of image compression via neural networks (NNs) is considered. A parallel architecture is presented in which different parts of the image are processed by different NNs according to their complexity. Simulations are presented which show the simplicity and power of this approach.<
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