After nearly a century when electric lighting has dominated the design of building interiors, a return to the use of daylight as the main ambient light source is motivated by energy, environmental, and health considerations. Good daylighting of building interiors not only promotes low energy use, it has the potential to (re)connect humans to the natural cycle of day and night, which promotes healt

Objective: The purpose of this multicentre study was to analyse the outcome of thoracic endovascular aortic repair (TEVAR) in patients with ruptured descending thoracic aortic aneurysm (rDTAA). Methods: This is a nationwide retrospective study including all patients who underwent TEVAR for rDTAA at six major vascular university centres in Sweden between January 2000 and December 2015. Outcome meas

Glacial-interglacial variations in CO 2 and methane in polar ice cores have been attributed, in part, to changes in global wetland extent, but the wetland distribution before the Last Glacial Maximum (LGM, 21 ka to 18 ka) remains virtually unknown. We present a study of global peatland extent and carbon (C) stocks through the last glacial cycle (130 ka to present) using a newly compiled database

Adherent cells are generally able to reorient in response to cyclic strain. In three-dimensional tissues, however, extracellular collagen can affect this cellular response. In this study, a computational model able to predict the combined effects of mechanical stimuli and collagen on cellular (re)orientation was developed. In particular, a recently proposed computational model (which only accounts

Many computer vision applications require robust estimation of the underlying geometry, in terms of camera motion and 3D structure of the scene. These robust methods often rely on running minimal solvers in a RANSAC framework. In this paper we show how we can make polynomial solvers based on the action matrix method faster, by careful selection of the monomial bases. These monomial bases have trad

To estimate the 6-DoF extrinsic pose of a pinhole camera with partially unknown intrinsic parameters is a critical sub-problem in structure-from-motion and camera localization. In most of existing camera pose estimation solvers, the principal point is assumed to be in the image center. Unfortunately, this assumption is not always true, especially for asymmetrically cropped images. In this paper, w

This paper introduces the first minimal solvers that jointly solve for affine-rectification and radial lens distortion from coplanar repeated patterns. Even with imagery from moderately distorted lenses, plane rectification using the pinhole camera model is inaccurate or invalid. The proposed solvers incorporate lens distortion into the camera model and extend accurate rectification to wide-angle

The problem of graph matching under node and pairwise constraints is fundamental in areas as diverse as combinatorial optimization, machine learning or computer vision, where representing both the relations between nodes and their neighborhood structure is essential. We present an end-to-end model that makes it possible to learn all parameters of the graph matching process, including the unary and

We introduce new, fine-grained action and emotion recognition tasks defined on non-staged videos, recorded during robot-assisted therapy sessions of children with autism. The tasks present several challenges: a large dataset with long videos, a large number of highly variable actions, children that are only partially visible, have different ages and may show unpredictable behaviour, as well as non

We propose drl-RPN, a deep reinforcement learning-based visual recognition model consisting of a sequential region proposal network (RPN) and an object detector. In contrast to typical RPNs, where candidate object regions (RoIs) are selected greedily via class-agnostic NMS, drl-RPN optimizes an objective closer to the final detection task. This is achieved by replacing the greedy RoI selection pro

Many Frankia strains are pigmented and presumed to produce melanin. However, melanin biosynthesis has yet to be rigorously characterized in Frankia. This study was initiated to determine whether or not Frankia strain CeI5 produced melanin and to identify the biochemical pathway of pigment production. Frankia strain CeI5 first produced a dark pigment in mycelial and other tissue and then in the liq

The fate of pollutants in rivers is mainly affected by the longitudinal dispersion coefficient (Kx). Thus, improved Kx estimation could greatly enhance the water quality management of rivers. In this regard, evolutionary polynomial regression (EPR) was used to accurately predict Kx in rivers as a function of flow depth, channel width, and average and shear velocities. The predicted Kx by EPR model

We perform a land-surface model intercomparison to investigate how the simulation of permafrost area on the Tibetan Plateau (TP) varies among six modern stand-alone land-surface models (CLM4.5, CoLM, ISBA, JULES, LPJ-GUESS, UVic). We also examine the variability in simulated permafrost area and distribution introduced by five different methods of diagnosing permafrost (from modeled monthly ground

The sharing economy has many faces, and it has taken our societies by storm. For many people, it has quickly become a norm to book accommodation via AirBnB, or to think sharing instead of owning when it comes to products of their everyday lives. The tourism industry has seen many adaptions towards a sharing economy, one of them being a new way of conducting guided tours. Based on an innovation in The sharing economy has many faces, and it has taken our societies by storm. For many people, it has quickly become a norm to book accommodation via AirBnB, or to think sharing instead of owning when it comes to products of their everyday lives. The tourism industry has seen many adaptions towards a sharing economy, one of them being a new way of conducting guided tours. Based on an innovation in

Om artificiell intelligens som regleringsfråga och tillsynsutmaning i en replik på Daniel Akenines (teknikchef Microsoft Sverige) debattartikel i SvD.

1. IntroductionThe end of the 20th century was marked by the start of the third and so far final wave of biotechnology, the so-called white biotechnology, aiming to substitute chemical processes based on C2/C3 chemistry of oil and gas by biotechnological processes. The standard conversion process in biotechnology is fermentation, which is used to produce a wide range of bulk products such as antib