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In Networked Control Systems, time-varying delays and loss of data are two important problems to be taken into account. In this paper, in order to face them, the design of a predictor-observer for possible unstable systems is proposed. A delay-dependent time varying stability condition is expressed in terms of LMIs. Stability and robustness is proved.
Often, the research process is hidden under the dominant product, making all decisions, from the research question to the chosen method and theory, seem obvious in retrospect. Consequently, this paper has two tightly intertwined aims: to elucidate the research process of the study on which it is based; and to explore and discuss what this process temporally produced, namely, a focus group intervie
A number of minimal problems of structure from motion for cameras with radial distortion have recently been studied and solved in some cases. These problems are known to be numerically very challenging and in several cases there exist no known practical algorithm yielding solutions in floating point arithmetic. We make some crucial observations concerning the floating point implementation of Gröbn
Disturbances on utilities, such as steam and cooling water, often cause large revenue losses at industrial sites. These disturbances are often hard to handle, since they commonly are plant-wide disturbances that affect more than one production area at the site. Also, the production areas of the site are often dependent on other production areas because of the flow of product through the site, whic
Background: Alexithymia is a disturbance associated with psychosomatic disorders, pain syndromes, and a variety of psychiatric disorders. The Affect School (AS) based on Tomkins Affect Theory is a therapy focusing on innate affects and their physiological expressions, feelings, emotions and scripts. In this pilot study we tried the AS-intervention method in patients with chronic benign pain. Metho
This study investigates the association between individual-level characteristics and the risk ofhaving an unmet need for contraception in the United States between 2002 and 2017 for womenwho were sexually active, not pregnant or postpartum, fecund, and wanted no more children.Using data from the National Survey of Family Growth, logistic regression models are used toestimate the association betwee
This study investigates coupled reduced-order modeling to develop efficient methods for analyzing the vibro-acoustic response of geometrically nonlinear thin structures interacting with acoustic fluids, such as gas or liquid. Projection-based model reduction is adopted for the structural and fluid domain. To consider geometric nonlinearity, the reduced nonlinear restoring forces of the elastic str
Objective To determine if familial diabetes burden across multiple kinship levels is associated with hospital-diagnosed COVID-19 in a population-based cohort. Methods We analyzed data from 15,516 participants in the Malmö Diet and Cancer Study (MDCS), a prospective, population-based cohort in southern Sweden. Familial burdens among first-degree relatives (parents, siblings, children) of diabetes,
A search is presented for a heavy scalar (H) or pseudo-scalar (A) predicted by the two-Higgs-doublet models, where the H/A is produced in association with a top-quark pair (tt¯H/A), and with the H/A decaying into a tt¯ pair. The full LHC Run 2 proton–proton collision data collected by the ATLAS experiment is used, corresponding to an integrated luminosity of 139fb-1. Events are selected requiring
The sheet metal forming process is integral to the automotive industry, producing a variety of components essential for vehicle construction, including body panels, chassis parts, and structural supports. The process involves shaping thin metal sheets into desired forms using techniques such as bending, stretching, drawing, and stamping. In order to build high quality cars it is vital with an effi
There is growing interest in using digital technology like welfare technology (WT) to support older adults (aged 75+) to age in place, particularly in Nordic countries. This cross-sectional survey study (n = 414), conducted in 18 Swedish municipalities, used descriptive statistics and binary logistic regression to examine: user experiences related to satisfaction with WT, as well as users’ expecta
The escalating energy consumption of existing artificial intelligence hardware has become a serious global issue that demands immediate action. Neuromorphic computing offers promises to drastically reduce this footprint. Here, we introduce multicomponent p-type Hf(Sr,Ti)O2 thin films for energy-efficient, resistive switching–based neuromorphic devices. We demonstrate interfacial memristors with ul
Co-pathology is a common feature of neurodegenerative diseases that complicates diagnosis, treatment and clinical management. However, sensitive, specific and scalable biomarkers for in vivo pathological diagnosis are not available for most neurodegenerative neuropathologies. Here we present Proteomics-based Artificial Intelligence for Dementia Diagnosis (ProtAIDe-Dx), a deep joint-learning model
The application of Agent-Based Modeling and Simulation (ABMS) has few established guidelines and often suffers from insufficient model documentation. We assess the prevalence of best practices associated with different types of model documentation in light of the European Union's AI Act (AI Act). Our analysis reveals that best practices are often implemented together but ultimately reinforce the p
