Here, we propose a new procedure for output feedback design for systems with nonlinearities satisfying quadratic constraints. It provides an alternative for the classical observer-based design and relies on transformation of the closed-loop system with a dynamic controller of particular structure into a special block form. Asymptotic stability is shown using Lyapunov theory with strictly positive

The Barnahus model was launched in Iceland in 1998, and it subsequently spread to all the Nordic countries. It is an interagency, co-located model for working with cases of violence and abuse against children that addresses two vital concerns of welfare societies: to process cases through the legal system and to offer support and treatment to victims. The model is currently recommended as a best-p

Sexual conflict is thought to be an important evolutionary force in driving phenotypic diversification, population divergence, and speciation. However, empirical evidence is inconsistent with the generality that sexual conflict enhances population divergence. Here, we demonstrate an alternative evolutionary outcome in which sexual conflict plays a conservative role in maintaining male and female p

Importance: Since 2004-2007, national guidelines and recommendations have been developed for the management of extremely preterm births in Sweden. If and how more uniform management has affected infant survival is unknown. Objective: To compare survival of extremely preterm infants born during 2004-2007 with survival of infants born during 2014-2016. Design, Setting and Participants: All births at

Background: The aim of this study was to compare QOL among people in India using lower-limb prostheses or orthoses with people without disability. A further aim was to compare subgroups and investigate whether QOL was associated with physical disability, gender, income, living area, and education. Methods: A cross-sectional questionnaire study in which the World Health Organization Quality of Life

The sustainable and green chemistry concept calls for effective separation and recycling of valuable functional nanoparticles. In this work, a viable approach to separate and recover synthetic nanoparticles without involving heavy-duty instruments was established. The nanoparticle separation was enabled by using reversible boronate ester and boroxine bonds formed between boronic acid-functionalize

Background: Depression, metabolic disturbances and inflammation have been linked to cardiovascular disease and mortality. Low levels of high-density lipoprotein cholesterol (HDL-cholesterol), a known marker of cardiovascular risk, have been observed in patients with major depression in psychiatric populations. Our main aim was to explore associations between depression, antidepressants, and metab

We introduce an experimental test for ruling out classical explanations for the statistics obtained when measuring arbitrary observables at arbitrary times using individual detectors. This test requires some trust in the measurements, represented by a few natural assumptions on the detectors. In quantum theory, the considered scenarios are well captured by von Neumann measurements. These can be de

We experimentally study negative fluctuations of stochastic entropy production in an electronic double dot operating in nonequilibrium steady-state conditions. We record millions of random electron tunneling events at different bias points, thus collecting extensive statistics. We show that for all bias voltages, the experimental average values of the minima of stochastic entropy production lie ab

Carotenoid-based coloration in birds is widely considered an honest signal of individual condition, but the mechanisms responsible for condition dependency in such ornaments remain debated. Currently, the most common explanation for how carotenoid coloration serves as a reliable signal of condition is the resource trade-off hypothesis, which proposes that use of carotenoids for ornaments reduces t

Background Breathlessness is prevalent in the general population and may be associated with adverse health outcomes. This study aimed to evaluate the association of breathlessness with Chronic Obstructive Pulmonary Disease (COPD) events, cardiac events and all-cause mortality from middle-age throughout life. Methods Breathlessness was measured in 699, 55-year old men residing in Malmö, Sweden usin

Arabidopsis thaliana L. is a small flowering plant that is widely used as a model organism in plant biology. In the present study, we study the peripheral membrane protein ATEXPA23 from Arabidopsis thaliana L. using homology modelling and molecular docking. The microarray analysis shows expression of ATEXPA23 (AT5G39280) protein, which leads to loosening and extension of plant cell walls. This pro

Computer science plays a major role in image segmentation and image processing applications. Despite the computational cost, PSO evaluated QCA approaches perform comparable to or better than their crisp counterparts. This novel approach, proposed in this chapter, has been found to enhance the functionality of the CA rule base and thus enhance the established potentiality of the fuzzy-based segment

Image segmentation among overlapping land cover areas in satellite images is a very crucial task. Detection of belongingness is the important problem for classifying mixed pixels. This paper proposes an approach for pixel classification using a hybrid approach of Fuzzy C-Means and Cellular automata methods. This new unsupervised method is able to detect clusters using 2-Dimensional Cellular Automa

Handwritten Bangla numeral recognition has been studied broadly in the last century. This is a very interest subject among the experimenters because of the progression of various pattern recognition algorithms. In this paper, we compare the results of most widely used machine learning method Like Multi Layer Percepton (MLP) and deep learning method like multilayer Convolutional Neural Network (CNN

The challenges faced in medical image processing makes image processing domain one of the active research areas nowadays. Brain tumors are aberrant growth formed by cells reproducing in an abnormal manner. Detecting the location of brain lesion (tumor) is essential as it helps in the diagnosis and cure of tumor. This paper proposes a novel clustering approach for the brain lesions in BRATS trainin