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RIFM fragrance ingredient safety assessment, 4H-4a,9-methanoazuleno[5,6-d]-1,3-dioxole, octahydro-2,2,5,8,8,9a-hexamethyl-, (4aR,5R,7aS,9R)-, CAS Registry Number 211299-54-6
RIFM fragrance ingredient safety assessment, p-menth-8-en-2-one, CAS Registry Number 7764-50-3
RIFM fragrance ingredient safety assessment, ethyl acetoacetate, CAS Registry Number 141-97-9
RIFM Fragrance Ingredient Safety Assessment,(E,Z)-2,6-nonadien-1-ol acetate, CAS Registry Number 68555-65-7
RIFM fragrance ingredient safety assessment, p-dimethoxybenzene, CAS Registry Number 150-78-7
RIFM fragrance ingredient safety assessment, ethyl 3-phenylpropionate, CAS Registry Number 2021-28-5
Daylighting and lighting under a Nordic sky
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
A microchondrule‐bearing micrometeorite and comparison with microchondrules in CM chondrites
Outcome After Endovascular Repair of Ruptured Descending Thoracic Aortic Aneurysm : A National Multicentre Study
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
Widespread global peatland establishment and persistence over the last 130,000 y
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
Modelling the combined effects of collagen and cyclic strain on cellular orientation in collagenous tissues
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
Beyond Gröbner Bases : Basis Selection for Minimal Solvers
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
Perception of Gender Equality Statements – The Moderating Effect of Gender Identification on Organisation Appeal
Camera Pose Estimation with Unknown Principal Point
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
Radially-Distorted Conjugate Translations
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
Deep Learning of Graph Matching
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
3D Human Sensing, Action and Emotion Recognition in Robot Assisted Therapy of Children with Autism
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
Deep Reinforcement Learning of Region Proposal Networks for Object Detection
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
Melanin biosynthesis by Frankia strain CeI5
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