Recent works on localization and mapping from privacy preserving line features have made significant progress towards addressing the privacy concerns arising from cloud-based solutions in mixed reality and robotics. The requirement for calibrated cameras is a fundamental limitation for these approaches, which prevents their application in many crowd-sourced mapping scenarios. In this paper, we pro

Oceanic islands have isolated biota, which typically include many endemic species. However, island endemics are vulnerable due to small population sizes, and they are often threatened by habitat destruction or by introduced pests and predators. Adequate conservation planning requires good information on genetic variability and population structure, also when seemingly viable species are considered

Contact-rich manipulation tasks remain a hard problem in robotics that requires interaction with unstructured environments. Reinforcement Learning (RL) is one potential solution to such problems, as it has been successfully demonstrated on complex continuous control tasks. Nevertheless, current state-of-the-art methods require policy training in simulation to prevent undesired behavior and later d

This paper presents an implementation for a baseband massive multiple-input multiple-output (MIMO) application-specific instruction set processor (ASIP). The ASIP is geared with vector processing capabilities in the form of single instruction multiple data (SIMD), and furthermore exploits instruction level parallelism by employing a very large instruction word (VLIW) architecture. Additionally, a

Objective: This study examined the overlap between considering oneself to have stopped nonsuicidal self-injury (NSSI) and the actual cessation of the behavior in terms of days self-injured in the last month and last year, and how these operationalizations are associated with constructs related to NSSI recovery. Methods: A cross-sectional survey including measures of coping, emotion dysregulation,

Background: Liver disease in Cystic Fibrosis (CFLD) is an early complication of CF. Evidence of CFLD is often subclinical and screening is recommended. Screening includes a biochemical work-up and an ultrasound investigation. Non-invasive methods measuring liver stiffness such as shear wave elastography could be beneficial. This study describes the use of 2D Shear Wave Elastography (2D SWE) in scr

The chapter analyzes the results of an online survey conducted in Ukraine, Serbia, Georgia, and Montenegro in 2022. The chapter uses the convenience sampling technique to explore reasons and test the validity of the scales. We explore online practices and perceptions of online rituals to examine further whether online practices correlate with vaccination. The chapter shows that urban respondents f

The energy transition is looking for new technologies to reduce CO2 emissions. One of the promising options is the dual fuel engine. In this concept, based on a diesel engine, a small pilot diesel injection is used to ignite a second fuel. This second fuel can be a low carbon or renewable high-octane fuel, that otherwise could not be applied in a diesel engine. Good results on emissions and effici

Driven by the Paris agreement and tightening IMO regulations, the marine sector is focusing on lowering engine emissions and moving to low-carbon fossil or renewable fuel such as methane. The dual-fuel concept allows the usage of methane as main energy-source in diesel engines. A small pilot diesel injection acts as an ignition source for the premixed methane. It was investigated how NOx formation

The paper gives examples of industrial adaptive controllers and industrial applications of adaptive control. Adaptive control algorithms are found in single-loop controllers as well as in distributed control systems. Several commercial systems are available today. The given applications are mainly from the process control area. Adaptive control has many good aspects, but it also requires a good un

Membrane processes are essential for the success of lignocellulosic biorefineries, but membrane fouling is still a major problem and the single most important reason for the relatively slow acceptance of membrane technology in this industrial application. It is therefore of the utmost importance to find methods that enable the study of the fouling development when processing new types of feed solu

High-energy synchrotron radiation has been demonstrated to be a powerful tool for materials characterization. The development of novel methodologies is still ongoing, driven by major technological advances regarding the available source brilliance and efficient large area detectors. The Swedish Materials Science beamline at PETRA III is dedicated to materials characterization by high-energy X-rays

Abstract: Recently, a crystal structure of V-nitrogenase was presented, showing that one of the µ2 sulphide ions in the active site (S2B) is replaced by a lighter atom, suggested to be NH or NH2, i.e. representing a reaction intermediate. Moreover, a sulphur atom is found 7 Å from the S2B site, suggested to represent a storage site for this ion when it is displaced. We have re-evaluated this struc

Here we report large-amplitude transit timing variations (TTVs) for AU Microcopii b and c as detected in combined TESS (2018, 2020) and CHEOPS (2020, 2021) transit observations. AU Mic is a young planetary system with a debris disk and two transiting warm Neptunes. A TTV on the order of several minutes was previously reported for AU Mic b, which was suggested to be an outcome of mutual perturbatio

In this work we propose and analyze an HDG method for the Stokes equation whose domain is discretized by two independent polygonal subdomains with different meshsizes. This causes a non-conformity at the intersection of the subdomains or leaves a gap (unmeshed region) between them. In order to appropriately couple these two different discretizations, we propose suitable transmission conditions to

Recently there have been tremendous efforts to develop statistical procedures which allow to determine subgroups of patients for which certain treatments are effective. This article focuses on the selection of prognostic and predictive genetic biomarkers based on a relatively large number of candidate Single Nucleotide Polymorphisms (SNPs). We consider models which include prognostic markers as ma

Background: Metabolite profiles provide snapshots of the overall effect of numerous exposures accumulated over life courses, which may lead to health outcomes in the future. Objective: We hypothesized that the risk of all-cause mortality is linked to alterations in metabolism earlier in life, which are reflected in plasma metabolite profiles. We aimed to identify plasma metabolites associated with

Multipliers of reproducing kernel Hilbert spaces can be characterized in terms of positivity of n n matrices analogous to the classical Pick matrix. We study for which reproducing kernel Hilbert spaces it suffices to consider matrices of bounded size n. We connect this problem to the notion of subhomogeneity of non-selfadjoint operator algebras. Our main results show that multiplier algebras of ma

Local feature matching is a critical part of many computer vision pipelines, including among others Structure-from-Motion, SLAM, and Visual Localization. However, due to limitations in the descriptors, raw matches are often contaminated by a majority of outliers. As a result, outlier detection is a fundamental problem in computer vision and a wide range of approaches, from simple checks based on d

Visibility across supply chains has been a key concern for organisations for many years, but the tools and information systems to achieve real-time visibility have not been available until recently. In response to uncertainty and complexity, advanced information and communication technologies have been explored for supply chain visibility (SCV). However, managerial perspectives are largely absent