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Mortality risks associated with sibling heart failure

Background The mortality in individuals with a family history of heart failure (HF) has not been determined. This nationwide sib-pair study aimed to determine mortality in individuals with a sibling affected with HF. Methods Sib-pairs were linked using the Swedish Multi-Generation Register, the Hospital Discharge Register and the Cause of Death Register for the period 1987–2012. Families with card

Angular-Domain Massive MIMO Detection: Algorithm, Implementation, and Design Tradeoffs

In massive multiple-input multiple-output (MIMO) systems, the large size of channel state information (CSI) matrix significantly increases the computational complexity of uplink detection and size of required memory to store the channel data. To address these challenges, we propose to perform detection in the angular domain, where the channel information can be presented in a more condensed way. T

Excited State Dynamics of Bistridentate and Trisbidentate RuII Complexes of Quinoline-Pyrazole Ligands

Three homoleptic ruthenium(II) complexes, [Ru(Q3PzH)3]2+, [Ru(Q1Pz)3]2+, and [Ru(DQPz)2]2+, based on the quinoline–pyrazole ligands, Q3PzH (8-(3-pyrazole)-quinoline), Q1Pz (8-(1-pyrazole)-quinoline), and DQPz (bis(quinolinyl)-1,3-pyrazole), have been spectroscopically and theoretically investigated. Spectral component analysis, transient absorption spectroscopy, density functional theory calculati

Coherent Bragg imaging of 60 nm Au nanoparticles under electrochemical control at the NanoMAX beamline

Nanoparticles are essential electrocatalysts in chemical production, water treatment and energy conversion, but engineering efficient and specific catalysts requires understanding complex structure-reactivity relations. Recent experiments have shown that Bragg coherent diffraction imaging might be a powerful tool in this regard. The technique provides three-dimensional lattice strain fields from w

Storage Assignment using Nested Annealing and Hamming Distances

The assignment of products to storage locations significantly impacts the efficiency of warehouse operations. We propose a multi-phase optimizer for a Storage Location Assignment Problem (SLAP) where solution quality is based on a distance estimate of future-forecasted order picking. Candidate assignments are first sampled using a Markov Chain accept/reject method. Future-forecasted pick-rounds ar

Implementation of Sequential Detection of Replay Attacks for a Cloud Native Controller

This paper focuses on the investigation of a sequential detection policy for combating the effect of the replay attack on a cloud-native controller. In reply attacks, an external attacker records true signals for some time duration and replays them later. The effect of such an attack is mitigated by adding random signals to the optimal control signal before the actuation process, which is known as

From dilute to concentrated solutions of intrinsically disordered proteins : Interpretation and analysis of collected data

Intrinsically disordered proteins (IDPs) have a broad energy landscape and consequently sample many different conformations in solution. The innate flexibility of IDPs is exploited in their biological function, and in many instances allows a single IDP to regulate a range of processes in vivo. Due to their highly flexible nature, characterizing the structural properties of IDPs is not straightforw

Efficient Order Batching Optimization Using Seed Heuristics and the Metropolis Algorithm

Order Picking in warehouses is often optimized using a method known as Order Batching, which means that one vehicle can be assigned to pick a batch of several orders at a time. There exists a rich body of research on Order Batching Problem (OBP) optimization, but one area which demands more attention is computational efficiency, especially for optimization scenarios where warehouses have unconvent

An emergent means to assurgent ends : Societal resilience for safety and sustainability

Societal safety and sustainability are key challenges in our complex and dynamic world, causing growth in interest of applying the concept of resilience in broader societal contexts. This chapter presents a concept of societal resilience that builds on established theory of Resilience Engineering and operationalises the concept by presenting its purpose, required functions and a way to identify an

Intellectual disability and psychotic disorders in children : Association with maternal severe mental illness and exposure to obstetric complications in a whole-population cohort

Objective: Children of mothers with severe mental illness are at significantly increased risk of developing intellectual disability. Obstetric complications are also implicated in the risk for intellectual disability. Moreover, children of mothers with severe mental illness are more likely to be exposed to obstetric complications. The purpose of this study was to examine the independent and joint

14.7% Efficiency Organic Photovoltaic Cells Enabled by Active Materials with a Large Electrostatic Potential Difference

Although significant improvements have been achieved for organic photovoltaic cells (OPVs), the top-performing devices still show power conversion efficiencies far behind those of commercialized solar cells. One of the main reasons is the large driving force required for separating electron-hole pairs. Here, we demonstrate an efficiency of 14.7% in the single-junction OPV by using a new polymer do

The Importance and Challenges of Anticipation for Community Resilience

Resilience is a debated concept with numerous definitions. If focusing on describing a community under stress of a particular disruptive event, its more traditional etymological meaning of ability to spring back after deformation, or its more applied meaning of ability to cope with and recover from the event, are sufficient. However, if focusing on building and maintaining resilient communities ov

Control-over-the-cloud: A performance study for cloud-native, critical control systems

In the Industry 4.0 era, time-sensitive and missioncritical control applications still have a long way to go, from being tied down and co-located with the systems they control, to taking full advantage of the cloud. Conservatively keeping applications local will deprive these complex applications of abundantcompute capacity, wider system integration, and the potential for collaborative control eff

Probabilistic fibre-to-target assignment algorithm for multi-object spectroscopic surveys

Context. Several new multi-object spectrographs are currently planned or under construction that are capable of observing thousands of Galactic and extragalactic objects simultaneously. Aims. In this paper we present a probabilistic fibre-to-target assignment algorithm that takes spectrograph targeting constraints into account and is capable of dealing with multiple concurrent surveys. We present

Formation of moon systems around giant planets : Capture and ablation of planetesimals as foundation for a pebble accretion scenario

The four major satellites of Jupiter, known as the Galilean moons, and Saturn's most massive satellite, Titan, are believed to have formed in a predominantly gaseous circum-planetary disk during the last stages of formation of their parent planet. Pebbles from the protoplanetary disk are blocked from flowing into the circumplanetary disk by the positive pressure gradient at the outer edge of the p

The Gaia -ESO Survey : Spectroscopic-asteroseismic analysis of K2 stars in Gaia -ESO

Context. The extensive stellar spectroscopic datasets that are available for studies in Galactic Archeaology thanks to, for example, the Gaia-ESO Survey, now benefit from having a significant number of targets that overlap with asteroseismology projects such as Kepler, K2, and CoRoT. Combining the measurements from spectroscopy and asteroseismology allows us to attain greater accuracy with regard

A giant exoplanet orbiting a very-low-mass star challenges planet formation models

Surveys have shown that super-Earth and Neptune-mass exoplanets are more frequent than gas giants around low-mass stars, as predicted by the core accretion theory of planet formation. We report the discovery of a giant planet around the very-low-mass star GJ 3512, as determined by optical and near-infrared radial-velocity observations. The planet has a minimum mass of 0.46 Jupiter masses, very hig

Out-of-Distribution Detection for Adaptive Computer Vision

It is well known that computer vision can be unreliable when faced with previously unseen imaging conditions. This paper proposes a method to adapt camera parameters according to a normalizing flow-based out-of-distibution detector. A small-scale study is conducted which shows that adapting camera parameters according to this out-of-distibution detector leads to an average increase of 3 to 4% poin