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Human-robot collaborative object transfer using human motion prediction based on Cartesian pose Dynamic Movement Primitives

In this work, the problem of human-robot collaborative object transfer to unknown target poses is addressed. The desired pattern of the end-effector pose trajectory to a known target pose is encoded using DMPs (Dynamic Movement Primitives). During transportation of the object to new unknown targets, a DMP-based reference model and an EKF (Extended Kalman Filter) for estimating the target pose and

Low-Protein Formulas with Alpha-Lactalbumin-Enriched or Glycomacropeptide-Reduced Whey : Effects on Growth, Nutrient Intake and Protein Metabolism during Early Infancy: A Randomized, Double-Blinded Controlled Trial

Protein intake is higher in formula-fed than in breast-fed infants during infancy, which may lead to an increased risk of being overweight. Applying alpha-lactalbumin (α-lac)-enriched whey or casein glycomacropeptide (CGMP)-reduced whey to infant formula may enable further reduction of formula protein by improving the amino acid profile. Growth, nutrient intake, and protein metabolites were evalua

Sustained low catheter related infection (CRI) incidence in an observational follow-up study of 9924 catheters using automated data scripts as quality assurance for central venous catheter (CVC) management

Background: To maintain a low incidence of Catheter Related Infections (CRI) and Catheter Related Bloodstream Infections (CRBSI), continuous follow-up studies on catheter management are necessary. The aims of the present study were to investigate the incidence of catheter tip colonisation, CRI and CRBSI in the Region, to further explore the feasibility of automatic data collection and to investiga

Bounds on effective anisotropic material parameters

A new method to estimate the micro-structural parameters of anisotropic two-phase composite material is derived. The parameters are estimated using information from measurements or from numerical experiments. The method is used to derive new bounds on the effective tensor that incorporates information from measurements of a related parameter. These new bounds are called cross-property bounds.

Shape optimization for the strong routing of light in periodic diffraction gratings

In the quest for the development of faster and more reliable technologies, the ability to control the propagation, confinement, and emission of light has become crucial. The design of guide mode resonators and perfect absorbers has proven to be of fundamental importance. In this project, we consider the shape optimization of a periodic dielectric slab aiming at efficient directional routing of lig

Numerical solution of distributed-order time-fractional diffusion-wave equations using Laplace transforms

In this paper, we consider the numerical inverse Laplace transform for distributed order time-fractional equations, where a discontinuous Galerkin scheme is used to discretize the problem in space. The success of Talbot's approach for the computation of the inverse Laplace transform depends critically on the problem's spectral properties and we present a method to numerically enclose the spectrum

Spectra of Gurtin-Pipkin type of integro-differential equations and applications to waves in graded viscoelastic structures

In this paper, we study spectral properties and spectral enclosures for the Gurtin-Pipkin type of integro-differential equations in several dimensions. The analysis is based on an operator function and we consider the relation between the studied operator function and other formulations of the spectral problem. The theory is applied to wave equations with Boltzmann damping.

Finite Impulse Response Errors-in-Variables system identification utilizing Approximated Likelihood and Gaussian Mixture Models

In this paper a Maximum likelihood estimation algorithm for Finite Impulse Response Errors-in-Variables systems is developed. We consider that the noise-free input signal is Gaussian-mixture distributed. We propose an Expectation-Maximization-based algorithm to estimate the system model parameters, the input and output noise variances, and the Gaussian mixture noise-free input parameters. The bene

Successful invasions to freshwater systems double with climate warming

Although invasive species are recognized as a major threat to freshwaters, little is known about how future climate warming will affect the success of invaders. Ecosystems are also often simultaneously impacted by multiple, potentially interacting, invading species and the management of species invasions can be incredibly difficult. Sensitive methods such as environmental DNA (eDNA) metabarcoding,

Fostering collective climate action and leadership : Insights from a pilot experiment involving mindfulness and compassion

Recent research suggests that mindfulness, compassion, and self-compassion relate to inner transformative qualities/capacities and intermediary factors that can support increased pro-environmental behavior and attitudes across individual, collective, organizational, and system levels. However, current insights focus on the individual level, are restricted to certain sustainability fields, and wide

Covid-19s effekter på arbetslivet

Ur inledningen till temanumret "Covid-19s effekter på arbetslivet":Coronapandemin har inneburit en stor belastning för hela samhället och ett enormt lidande för de som insjuknat allvarligt och för deras närmast anhöri-ga. Smittan kom även att påverka många arbetstagare på olika sätt. Ett ökat tryck på sjukvården innebar följaktligen en större arbetsbelastning på denna yrkesgrupp. Det förkom även e

The glymphatic system : Current understanding and modeling

We review theoretical and numerical models of the glymphatic system, which circulates cerebrospinal fluid and interstitial fluid around the brain, facilitating solute transport. Models enable hypothesis development and predictions of transport, with clinical applications including drug delivery, stroke, cardiac arrest, and neurodegenerative disorders like Alzheimer's disease. We sort existing mode

The Right Kind of Attention : a qualitative analysis of the ADHD community on Instagram

Attention Deficit Hyperactive Disorder (ADHD) has been a contentious disorder for years and incorrect beliefs and assumptions about the disorder are still common both in the medical community and the public’s perception. Previous research has exemplified this by demonstrating that the representation of ADHD in traditional mass media consists of few depictions and homogenous stereotypes. In recent

Electrical and Structural Properties of Si1−xGex Nanowires Prepared from a Single-Source Precursor

Si1−xGex nanowires (NWs) were prepared by gold-supported chemical vapor deposition (CVD) using a single-source precursor with preformed Si–Ge bonds. Besides the tamed reactivity of the precursor, the approach reduces the process parameters associated with the control of decomposition characteristics and the dosing of individual precursors. The group IV alloy NWs are single crystalline with a const

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Article on Chinese religious views on loss and bereavement.