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

AimTo investigate the complete clinical spectrum of individuals with paediatric tuberous sclerosis complex in southern Sweden and explore changes over time.MethodsIn this retrospective observational study, 52 individuals aged up to 18 years at the study start were followed-up at regional hospitals and centres for habilitation from 2000 to 2020.ResultsCardiac rhabdomyoma was detected prenatally/neo

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,

The discovery that the CRISPR/Cas9 system could be used for genome editing purposes represented a major breakthrough in the field. This advancement has notably facilitated the introduction or correction of disease-specific mutations in healthy or disease stem cell lines respectively; therefore, easing disease modeling studies in combination with differentiation protocols. For many years, variabili

Vanuatu sand drawing has been listed by UNESCO since 2006 and has both fascinated and puzzled researchers from various disciplines for over a century. The inherent multi-dimensionality of the practice makes analysis complex, and until very recently developing a systematic methodology to study this intangible art form was difficult. This paper aims to contribute to filling this gap with the analysi

This article presents the results of survey-based research which explores if licensed aircraft maintenance engineers working in Norway, Sweden, and Portugal experience regulated “just culture” as procedural justice-infused processes when occurrence reporting in European Union (EU) civil aviation. Drawing on Tylerian procedural justice theory, the study finds that, perceived procedural justice is m

The purpose of this paper is to simplify the standard framework integrating epidemiological and economic concerns. We present a model where a social planner can influence the spread-intensity of an infection wave through a single parameter. The spread-intensity affects both economic activity and population health. We study the planner's optimal trade-off between upholding economic activity and pre

This book probes into the dynamics between Orthodox Christianity and the COVID-19 pandemic, unraveling a profound transformation at institutional and grassroots levels. Employing a multidisciplinary approach, and drawing upon varied data sources, including surveys, digital ethnography, and process tracing, it presents unprecedented insights into church-state relations, religious practices, and the

AIMS: The clinical usefulness of historical concentrations of high-sensitivity cardiac troponin T (hs-cTnT) is unknown. This study investigated the ability to rule out myocardial infarction (MI) with the use of historical hs-cTnT concentrations among patients with chest pain in the emergency department (ED).METHODS AND RESULTS: The derivation cohort consisted of patients presenting with chest pain

A circular economy (CE) calls for the value of materials and products to be maintained and recovered through narrowing, closing, and slowing loops. However, there remain challenges in capturing value through reuse of components in refurbished and repaired products. In this paper, we provide an overview of the research and practice of harvesting spare parts from used and waste electrical and electr

Corrosion in leak-tight plate structures, such as the containment liner in Nuclear Power Plants (NPPs), is detrimental to their operational state. To tackle this issue, the present work aims to assess the feasibility of using nonlinear ultrasound to detect corrosion. The corrosion product of main concern in the present study contains several microscopic and macroscopic cracks and delaminations. Th

This article contributes to debates on public sector innovation by empirically analysing and conceptually unpacking organizational resistance. It is based on research following the attempts to launch a particular public sector innovation, Social Impact Bonds (SIB), in Swedish local government. Drawing on the literature on productive resistance, the analysis shows how a range of different actors, f

Photoionization of atoms and molecules is one of the fastest processes in nature. The understanding of the ultrafast temporal dynamics of this process often requires the characterization of the different angular momentum channels over a broad energy range. Using a two-photon interferometry technique based on extreme ultraviolet and infrared ultrashort pulses, we measure the phase and amplitude of

SMAP/Sentinel-1 soil moisture is the latest SMAP (Soil Moisture Active Passive) product derived from synergistic utilization of the radiometry observations of SMAP and radar backscattering data of Sentinel-1. This product is the first and only global soil moisture (SM) map at 1 km and 3 km spatial resolutions. In this paper, we evaluated the SMAP/Sentinel-1 SM product from different viewpoints to

Recent advances have extended the scope of Bayesian optimization (BO) to expensive-to-evaluate black-box functions with dozens of dimensions, aspiring to unlock impactful applications, for example, in the life sciences, neural architecture search, and robotics. However, a closer examination reveals that the state-of-the-art methods for high-dimensional Bayesian optimization (HDBO) suffer from degr

Objective: To develop a method for detection of bradycardia and ventricular tachycardia using the photoplethysmogram (PPG). Approach: The detector is based on a dual-branch convolutional neural network (CNN), whose input is the scalograms of the continuous wavelet transform computed in 5-s segments. Training and validation of the CNN is accomplished using simulated PPG signals generated from RR in

Solid-state properties of dried protein formulations are important for stability and functionality of the product. This study investigates how different drying technologies (freeze-drying with and without annealing, spray drying and spray-freeze drying) affect the structure and solid-state properties of a set of matrix formulations composed of trehalose (glass former) and mannitol (scaffolding age