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OBJECTIVES: To investigate if socioeconomic status impacts patient-reported outcomes after a surgically treated trigger finger (TF).DESIGN AND SETTING: Data on patients with TF treated with surgery were collected from the Swedish National Quality Registry of Hand Surgery (HAKIR) 2010-2019 with an evaluation of symptoms and disability before surgery and at 3 and 12 months after surgery, using the s

Electric power systems are undergoing huge changes due to the shift from conventional power production to more renewable-based generation like solar and wind. This is primarily driven by the need to mitigate climate change by reducing CO2 emissions. The shift to more generation from solar and wind will affect the dynamical behaviour of power systems, and consequently how they should be controlled.

Background and aims: Alcohol use disorder (AUD) is one of the strongest predictors of suicidal behavior. Here, we measured risk of suicide attempt and death as a function of AUD typologies. Design: We used AUD typologies from previous latent class analysis: (i) externalizing subtype (characterized by externalizing symptomatology and early age of onset; individuals in this group have lower educatio

In this paper, a novel decentralized leader-follower control scheme for multi–agent systems is devised, where each agent communicates only with a subset of neighboring mates. The goal is to track assigned trajectories for the centroid and the formation of the system. The desired trajectories are known only by a subset of agents, named leaders: the other agents, the followers, are required to estim

This paper proposes a motion control scheme for robots operating in a dynamic environment with concave obstacles. A Model Predictive Controller (MPC) is constructed to drive the robot towards a goal position while ensuring collision avoidance without direct use of obstacle information in the optimization problem. This is achieved by guaranteeing tracking performance of an appropriately designed re

This paper gives a global solution to an H-infinity control problem for systems with symmetric state matrix and state-dependent input matrix. A simple, closed-form expression for the minimizing controller is obtained. This is in contrast to already established theory in which nonlinear H-infinity problems are solved locally. The result is then illustrated through an example, and the potential for

BACKGROUND: Telomere length (TL) and mitochondrial DNA copy number (mtDNAcn) variations are linked to age-related diseases and are associated with environmental exposure and nutritional status. Limited data, however, exist on the associations with mercury exposure, particularly early in life.OBJECTIVE: We examined the association between prenatal mercury (Hg) exposure and TL and mtDNAcn in 1,145 S

A well-balanced exploration-exploitation trade-off is crucial for successful acquisition functions in Bayesian optimization. However, there is a lack of quantitative measures for exploration, making it difficult to analyze and compare different acquisition functions. This work introduces two novel approaches - observation traveling salesman distance and observation entropy - to quantify the explor

Bayesian optimization (BO ) is an effective method for optimizing expensive-to-evaluate black-box functions. While high-dimensional problems can be particularly challenging, due to the multitude of parameter choices and the potentially high number of data points required to fit the model, this limitation can be addressed if the problem satisfies simplifying assumptions. Axis-aligned subspace appro

IMPORTANCE During the past decade, spinal surgical procedures have been increasingly performed on an ambulatory basis, a change in clinical practice supported only by observational evidence thus far. There have been no randomized clinical trials (RCTs) comparing ambulatory care with inpatient care after any spinal surgery. OBJECTIVE To assess whether ambulatory care is noninferior to overnight hos

This thesis concerns control of capacity-constrained networks. These systems involve many agents interconnected by a resource distribution network. The capacity to generate and distribute this resource is constrained. This applies, for instance, to power grids, communication networks, smart surveillance camera networks, and district heating networks. District heating networks in particular are the

Background and Objectives Structural brain MRI and blood-based phosphorylated tau (p-tau) measures are among the least invasive and least expensive Alzheimer's disease (AD) biomarkers to date. The extent to which these biomarkersmay outperformone another in predicting future Alzheimer dementia diagnosis is poorly understood, however. This study investigated 2 specific AD biomarkers, i.e., a cortic

High-dimensional problems have long been considered the Achilles' heel of Bayesian optimization. Spurred by the curse of dimensionality, a large collection of algorithms aim to make it more performant in this setting, commonly by imposing various simplifying assumptions on the objective. In this paper, we identify the degeneracies that make vanilla Bayesian optimization poorly suited to high-dimen

Objective: New guidelines for the interpretation of cardiotocography (CTG) have been presented by FIGO in 2015 (FIGO-15) and by NICE in 2017 (NICE-17) and 2022 (NICE-22) In Sweden, a previous template from 2009 (SWE-09) was replaced in 2017 (SWE-17). The objective of the study was to compare these five different templates for CTG classification regarding sensitivity, specificity, positive and nega

Driven by the idea to use alarm data to explore machine learning across Industry 4.0 applications, the goal of this pilot study was to explore how to collect, store, manage and share data from the ESS Control System. Generally, we seek to make any control system data available for research and innovation but started with alarms as a feasible domain in which to explore machine learning. The goals w

The photofunctionality of the cobalt-hexacarbene complex [Co(III)(PhB(MeIm)3)2]+ (PhB(MeIm)3 = tris(3-methylimidazolin-2-ylidene)(phenyl)borate) has been investigated by time-resolved optical spectroscopy. The complex displays a weak (φ ∼10-4) but remarkably long-lived (τ ∼1 μs) orange photoluminescence at 690 nm in solution at room temperature following excitation with wavelengths shorter than 35

Context: The European Association of Urology (EAU) has released an updated version of the guidelines on non–muscle-invasive bladder cancer (NMIBC). Objective: To present the 2021 EAU guidelines on NMIBC. Evidence acquisition: A broad and comprehensive scoping exercise covering all areas of the NMIBC guidelines since the 2020 version was performed. Databases covered by the search included Medline,

Background: Knee pain is studied mostly in older age groups, although in young adults it may be an indicator of future impaired musculoskeletal health. Therefore, the aim of this study was to examine the longitudinal association between knee pain and thigh muscle strength in young adult women and to explore the associations between muscle strength, body composition, physical activity and knee pain

Objective: To investigate if the extent of absent end-diastolic flow (AEDF) on umbilical artery (UA) Doppler velocimetry predicts pregnancy outcome. Methods: This was a retrospective observational study based on data from 25 000 Doppler examinations of UA flow performed between 1998 and 2017 at the Blood Flow Laboratory, Level III Perinatal Center, Lund, Sweden. All pregnancies with AEDF in the UA

Cervical cancer is a leading cause of morbidity and mortality in women worldwide. The availability of prophylactic vaccines for high-risk types of human papillomavirus (HPV) infection represents an important advancement in the prevention of cervical cancer. In Jordan, the availability of the HPV vaccination is restricted to individuals who are willing to pay. The aim of the current study was to ev