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Individualized Empirical Models of Carbohydrate and Insulin Effects on T1DM Blood Glucose Dynamics

ne of the main limiting factors in improving glucose control for T1DM subjects is the lack of a precise description of meal and insulin intake effects on blood glucose. Knowing magnitude and duration of such effects would be useful not only for patients and physicians but also for the development of a controller targeting glycemia regulation. Therefore, in this paper we focus on estimating low-com

Model Checking a Self-Adaptive Camera Network with Physical Disturbances

The paper describes the design and verification of a self-adaptive system, composed of multiple smart cameras connected to a monitoring station, that determines the allocation of network bandwidth to the cameras. The design of such a system poses significant challenges, since multiple control strategies are active in the system simultaneously. In fact, the cameras adjust the quality of their strea

Continuous-Time Model Identification Using Non-Uniformly Sampled Data

This contribution reviews theory, algorithms, and validation results for system identification of continuous-time state-space models from finite input- output sequences. The algorithms developed are autoregressive methods, methods of subspace-based model identification and stochastic realization adapted to the continuous-time context. The resulting model can be decomposed into an input-output mode

Control of Exhaust Recompression HCCI using Hybrid Model Predictive Control

Homogeneous Charge Compression Ignition (HCCI) holds promise for reduced emissions and increased efficiency compared to conventional internal combustion engines. As HCCI lacks direct actuation over the combustion phasing, much work has been devoted to designing controllers capable of set-point tracking and disturbance rejection. This paper presents results on model predictive control (MPC) of the

Appraisal of strategies to improve thermophilic hydrogen production exploiting Caldicellulosiruptor species

The transition from a fossil to a bio-based economy is of vital importance to stem the effects of ongoing climate change.This bio-based economy will necessitate the production of both biofuels and chemical compounds from biologicalsources. Hydrogen is a promising candidate as a renewable energy carrier due to its high energy density, carbonneutrality when combusted and its potential use as a reduc

Liver-related complications and metabolic comorbidities during long-term follow-up of patients with Non-Alcoholic Fatty Liver Disease

Background: Non-alcoholic fatty liver disease (NAFLD) is highly associated with the metabolic syndrome, and due to increasing prevalence of for example obesity it is now the most common liver disease in the world. A minority progress to advanced fibrosis/cirrhosis, which is associated with increased mortality, but it is not entirely clear which patients who have an increased risk of fibrosis.Gener

Non-invasive fibrosis scoring systems can predict future metabolic complications and overall mortality in non-alcoholic fatty liver disease (NAFLD)

BACKGROUND AND AIM: Progression to fibrosis in non-alcoholic fatty liver disease (NAFLD) is associated with an increased risk of liver-related events, overall mortality and possibly metabolic comorbidities. Our aim was to determine if non-invasive fibrosis scoring systems can predict the future risk of diabetes mellitus, cardiovascular disease (CVD), chronic kidney disease (CKD), liver-related eve

Insulin resistance with impaired fasting glucose increases the risk of NAFLD

Background: Our aim was to investigate the frequency of elevated liver enzymes and NAFLD in patients with known insulin resistance during 15 years of follow-up. Methods: Subjects with insulin resistance were identified from a population-based prospective cohort study in Sweden, Malm? Diet and Cancer Study, conducted in 1991-1996. Inall, 285 non-diabetic subjects with insulin resistance established