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In modern industrial settings with small batch sizes it should be easy to set up a robot system for a new task. Strategies exist, e.g. the use of skills, but when it comes to handling forces and torques, these systems often fall short. We introduce an approach that provides a combination of task-level planning with targeted learning of scenario-specific parameters for skill-based systems. We propo
Multiple concepts for future generations of wireless communication standards utilize coherent processing of signals from many distributed antennas. Names for these concepts include distributed MIMO, cell-free massive MIMO, XL-MIMO, and large intelligent surfaces. They aim to improve communica- tion reliability, capacity, as well as energy efficiency and provide possibilities for new applications t
BACKGROUND: The Xpert MTB/RIF Ultra (Xpert-Ultra) assay provides timely results with good sensitivity and acceptable specificity with stool specimens in children for bacteriological confirmation of tuberculosis (TB). This study aims to optimize the Simple One-Step (SOS) stool processing method for testing stool specimens using the Xpert-Ultra in children and adults in selected health facilities in
In this paper we propose a shared regression network to jointly estimate the pose of multiple objects, replacing multiple object-specific solutions. We demonstrate that this shared network can outperform other similar approaches that rely on multiple object-specific models by evaluating it on the TLESS dataset using the VSD (Visible Surface Discrepancy). Our approach offers a less complex solution
In studies recruited on a voluntary basis, lack of representativity may impair the ability to generalize findings to the target population. Previous studies, primarily based on surveys, have suggested that generalizability may be improved by exploiting data on individuals who agreed to participate only after receiving one or several reminders, as such individuals may be more similar to non-partici
Brain-computer interfaces (BCIs) translate brain activity into digital commands for interaction with the physical world. The technology has great potential in several applied areas, ranging from medical applications to entertainment industry, and creates new conditions for basic research in cognitive neuroscience. The BCIs of today, however, offer only crude online classification of the user's cur
Background/Objectives: Worldwide, men experience a higher incidence of pancreatic cancer (PC) than women. Methods: To increase understanding of the underlying reasons for this sex-related difference, we analysed general and sex-related risk factors for PC in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort (women/men No. = 293,682/136,728; 717/577 PC-cases). Results:
This study examines the effectiveness of LU-PZE, a web-based interactive tool designed to help students visualize and interact with fundamental concepts in automatic control. A total of 200 students enrolled in an introductory course on automatic control had the option to use LU-PZE as an additional resource for learning. LU-PZE offers users randomized quizzes, structured assignments, and real-tim
This paper investigates the detection of permittivity defects in a fabricated, known object, motivated by a desire to detect errors in additively manufactured objects that may affect their electromagnetic performance. We use scattering parameter sensitivities to reconstruct the relative permittivity of a generic 2D object from microwave scattering measurements and a known reference model. To find
The Alzheimer’s Association and the Society of Nuclear Medicine and Molecular Imaging convened a multidisciplinary workgroup to update appropriate use criteria (AUC) for amyloid positron emission tomography (PET) and to develop AUC for tau PET. Methods: The workgroup identified key research questions that guided a systematic literature review on clinical amyloid/tau PET. Building on this review, t
Background: Although physiological reflux is seen in nearly all newborns to varying degrees, symptoms can be severe and cause gastroesophageal reflux disease (GERD). In preterm infants, one symptom that is often attributed to GERD is apnea and associated cardiorespiratory events, such as bradycardia and oxygen desaturation. Although the relationship between GERD and apnea, bradycardia, and desatur
Background: Markov models are models used to describe movement of individuals between states. In medicine, Markov models are used to describe, for example, disease progression and the effects of interventions on such progression. The models can further be used to identify medical risk groups and aid clinicians in clinical decision making. Although accurate individual predictions are crucial for ut
Background: Low-cost particulate matter sensors have enabled new opportunities for exposure monitoring but require evaluation before application in epidemiological studies. This study assessed the performance of the SPS30 sensor integrated into the ARMIE portable monitoring sensor-node under controlled laboratory conditions. Methods: Sensors were co-located with two comparison instruments—the opti
Covariate modeling provides individual predictions of outcomes by disease progression models. Current methodology for mapping covariates onto model parameters is limited by predefined parametric functions which can result in inadequate covariate selection and biased predictions by the final model. Furthermore, present methodology scales poorly to high-dimensional data due to combinatorial limitati
Comparison of ROS production of individual particle components from traffic-related sources can inform new health policies and emissions legislation. This work aims to quantify acellular ROS production and oxidative potential (OP) of such individual particle components from combustion, brake, tire, and road wear. Particle characteristics are probed to identify source-specific markers and improve t
Time-interleaved ADCs are a key building block in mm-wave receivers, where the use of multi-GHz signal bandwidths requires high-performance wide-band data conversion. It is therefore necessary to explore the beamforming receiver system impact of different time-interleaved ADC parameters and limitations, such as number of interleaved channels, mismatches between channels, non-idealities of the subA
Rates of molecular, phenotypic, and lineage diversification typically scale negatively with time interval of measurement, raising longstanding questions about time-dependency of evolutionary processes. These patterns and their potential meaning have recently re-entered evolutionary discussions. In this Perspective, we revisit the general challenges in interpreting rate–time relationships. Much app
This article presents a theoretical framework for deriving simple analytical expressions for spurs resulting from second and third order nonlinearities in fractional-N phase locked loops (PLL). Furthermore, a previously proposed linearization technique where several sigma-delta modulators (SDMs) operate in parallel with relative time offsets between them, is further analyzed using the periodic non
The causal role of pollinators in driving the divergence of plant traits is a fundamental tenet of angiosperm evolution, providing hallmark examples of evolution in response to natural selection. However, it remains unclear how geographic variation in pollinator assemblages relates to the divergence of pollination traits in pollination-generalized plants. We characterized pollinator assemblages th
