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An emergent means to assurgent ends : Societal resilience for safety and sustainability

Societal safety and sustainability are key challenges in our complex and dynamic world, causing growth in interest of applying the concept of resilience in broader societal contexts. This chapter presents a concept of societal resilience that builds on established theory of Resilience Engineering and operationalises the concept by presenting its purpose, required functions and a way to identify an

Can the validity of a cohort be improved by reweighting based on register data? Evidence from the Swedish MDC study

Background: In any study with voluntary participation, self-selection risks leading to invalid conclusions. If the determinants of selection are observed, it is however possible to restore the parameters of interest by reweighting the sample to match the population, but this approach has seldom been applied in epidemiological research. Methods: We reweighted the Malmö Diet and Cancer (MDC) study b

Non-immune hydrops fetalis was rare in Sweden during 1997-2015, but cases were associated with complications and poor prognosis

Aim: The study was designed to document the incidence of non-immune hydrops fetalis (NIHF) at birth and characterise associated outcomes and obstetric complications. Methods: Data on more than 1.9 million births were extracted from the Swedish Birth Register for 1997-2015. Pregnancies not affected by NIHF served as controls. National registers on mortality and hospitalisations provided follow-up i

Economic Evaluation of Elective Cesarean Section on Maternal Request Compared With Planned Vaginal Birth—Application to Swedish Setting Using National Registry Data

Objectives: There is a lack of consensus around the definition of delivery by cesarean section (CS) on maternal request, and clinical practice varies across and within countries. Previous economic evaluations have focused on specific populations and selected complications. Our aim was to evaluate the cost-effectiveness of CS on maternal request compared with planned vaginal birth in a Swedish cont

Pulmonary embolism and deep venous thrombosis after COVID-19 : long-term risk in a population-based cohort study

Background: Venous thromboembolism (VTE) (pulmonary embolism [PE] or deep venous thrombosis [DVT]) is common during acute COVID-19. Long-term excess risk has not yet been established. Objectives: To study long-term VTE risk after COVID-19. Methods: Swedish citizens aged 18 to 84 years hospitalized and/or testing positive for COVID-19 between January 1, 2020, and September 11, 2021 (exposed), strat

New insight into myocardin regulation and function in smooth muscle cells

Smooth muscle cells (SMCs) are constituents of hollow inner organs. Their contractile function governs essential physiological functions, such as breathing, eating, blood pressure control, urination, and childbirth. Skeletal and cardiac muscle cells are terminally differentiated cell types, but SMCs are highly plastic and change their phenotype in disease. Cues presented by the microenvironment an

Chaos to control : human assisted scene inspection

We are working towards a mixed reality-based human-robot collaboration interface using gaze and gesture as methods of communicating intent in a search and rescue scenario to optimize the operation. The lack of mature algorithms and control schemes for autonomous systems makes it still difficult for them to operate safely in high-risk environments. We are approaching the problem through symbiosis w

Anti-windup coordination strategy around a fair equilibrium in resource sharing networks

We coordinate interconnected agents where the control input of eachagent is limited by the control input of others. In that sense, the sys-tems have to share a limited resource over a network. Such problems canarise in different areas and it is here motivated by a district heating ex-ample. When the shared resource is insufficient for the combined needof all systems, the resource will have to be s

The influence of ignition control parameters on combustion stability and spark plug wear in a large bore gas engine

The paper presents novel studies on the impact of different ignition control parameters on combustion stability and spark plug wear. First, experimental results from a 32.4-liter biogas fueled large bore single cylinder spark ignition engine are discussed. Two different ignition systems were considered in the experiment: a DC inductive and an AC capacitive. The spark plugs used in the experiment w

Ah, alright, okay! : communicating understanding in conversational product search

When talking about products, people often express their needs in vague terms with vocabulary that does not necessarily overlap with product descriptions written by retailers. This poses a problem for chatbots in online shops, as the vagueness and vocabulary mismatch can lead to misunderstandings. In human-human communication, people intuitively build a common understanding throughout a conversatio

A multi-program analysis of cleft lip with cleft palate prevalence and mortality using data from 22 International Clearinghouse for Birth Defects Surveillance and Research programs, 1974–2014

Background: Cleft lip with cleft palate (CLP) is a congenital condition that affects both the oral cavity and the lips. This study estimated the prevalence and mortality of CLP using surveillance data collected from birth defect registries around the world. Methods: Data from 22 population- and hospital-based surveillance programs affiliated with the International Clearinghouse for Birth Defects S

Circuit analysis using monotone+skew splitting

It is shown that the behavior of an m-port circuit of maximal monotone elements can be expressed as a zero of the sum of a maximal monotone operator containing the circuit elements, and a structured skew-symmetric linear operator representing the interconnection structure, together with a linear output transformation. The Condat–Vũ algorithm solves inclusion problems of this form, and may be used

Analysis and design of a GHz bandwidth adaptive bias circuit for an mmW Doherty amplifier

This paper derives theoretical results for adaptive bias in Doherty amplifiers and presents the design and measurements of an integrated adaptive bias circuit tailored for high peak-to-average high bandwidth signals. Fundamental equations for output power, impedance, and efficiency of the complete Doherty amplifier are derived. Even with ideal transistor models, the Doherty amplifier is fundamenta

Hilbert Metric for Nonlinear Consensus with Varying Topology

New results on continuous time nonlinear consensus under varying topology are presented. The results are proved utilizing non Lyapunov based methods, i.e., the Hilbert metric, showing the possibility of further investigation of Hilbert metric for consensus and synchronization problems.

On the H2 optimal control of uniformly damped mass-spring networks

In this paper we provide an analytical solution to an H2 optimal control problem, that applies whenever the process corresponds to a uniformly damped network of masses and springs. The solution covers both stable and unstable systems, and illustrates analytically how damping affects the levels of achievable performance. Furthermore, the resulting optimal controllers can be synthesised using passiv

Stability Analysis of Trajectories on Manifolds with Applications to Observer and Controller Design

This paper examines the local exponential stability (LES) of trajectories for nonlinear systems on Riemannian manifolds. We present necessary and sufficient conditions for LES of a trajectory on a Riemannian manifold by analyzing the complete lift of the system along the given trajectory. These conditions are coordinate-free which reveal fundamental relationships between exponential stability and

SkiROS2: A Skill-Based Robot Control Platform for ROS

The need for autonomous robot systems in both the service and the industrial domain is larger than ever. In the latter, the transition to small batches or even “batch size 1” in production created a need for robot control system architectures that can provide the required flexibility. Such architectures must not only have a sufficient knowledge integration framework. It must also support autonomou

Artificial intelligence and radiologists in prostate cancer detection on MRI (PI-CAI): an international, paired, non-inferiority, confirmatory study

Background: Artificial intelligence (AI) systems can potentially aid the diagnostic pathway of prostate cancer by alleviating the increasing workload, preventing overdiagnosis, and reducing the dependence on experienced radiologists. We aimed to investigate the performance of AI systems at detecting clinically significant prostate cancer on MRI in comparison with radiologists using the Prostate Im