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The COVID-19 accelerated shift towards hybrid workspaces places major pressure onworkplace communities and culture. This study explores the emergence of a collaborative academic workspace, which is still in the real estate development phase. The aim is to establish preconditions for community building, and the relationship between the community and the physical space. The study employs a qualitati
Decarbonizing society will require a shift toward renewable electricity production. However, the temporal configuration of renewables requires that demand adapt accordingly. Introducing intermittent electricity production will thus require end users to be more flexible in their use of electricity. Flexibility capital has been promoted as a concept for analyzing material preconditions in order to u
Opportunities and barriers for occupational engagement among residents in supported housing. Background: Research shows that people with psychiatric disabilities view supported housing (SH) as a possibility for social contact, but also as entailing a risk of deprived self-determination. There is, however, little research on the target group’s engagement in everyday occupations. Aim: To explore SH
The framework of Dynamical Movement Primitives (DMPs) has become a popular method for trajectory generation in robotics. Most robotic systems are subject to saturation and/or kinematic constraints on motion variables, but DMPs do not inherently encode constraints and this may lead to poor tracking performance. Temporal coupling (online temporal scaling) of DMPs represents a possible way for handli
In this paper, we present a system for extracting tabular information from loosely structured handwritten documents. The system consists of three parts, (i) a u-net like CNN-based method for text detection and segmentation, (ii) a new attention-based method for simultaneous text recognition and classification of word-parts, and (iii) a method for matching the word parts into a tabular structure fo
In this paper we address absolute camera pose estimation. An efficient (and standard) way to solve this problem, is to use sparse keypoint correspondences. In many cases point features are not available, or are unstable over time and viewing conditions. We propose a framework based on silhouettes of quadric surfaces, with special emphasis on cylinders. We provide mathematical analysis of the probl
Social media are increasingly important tools in diplomacy. Diplomats are expected to use social media platforms such as Twitter, Facebook and Instagram to communicate with each other and with both domestic and international publics. This form of communication involves displaying positive emotions to generate attention in a competitive information environment. Emotions are essential to managing pe
We detail here the convergence properties of a new model-independent imaging method, the Lévy expansion, that seems to play an important role in the analysis of the differential cross section of elastic hadron-hadron scattering.We demonstrate, how our earlier results concerning the Odderon effects in the differential cross-section of elastic proton-proton and proton-antiproton scattering as well as t
Satisfaction with everyday occupations has been shown to be important for health and well-being in various populations. Research into satisfaction with everyday occupations among elderly persons is, however, lacking. The aim was to investigate the psychometric properties of an adapted test version of the Satisfaction with Daily Occupations instrument (SDO) for elderly people, called SDO-E. Five ho
This paper discusses formation shape control systems with both distance and signed area constraints, which aim to avoid the flipping or reflection ambiguity in a target formation shape. We prove an almost global convergence result for a triangle formation with general shape, by choosing a particular value of the control gain associated with the formation area term. This result extends the recent p
A combination of two enzymes, phospholipase D (PL D) and C (PL C), was investigated for the production of two lysophospholipids, 1-lauroyl-rac- glycerophosphate (1-LGP) and 1-lauroyl-dihydroxyacetonephosphate (1-LDHAP). The high transphosphatidylation ability of phospholipase D from Streptomyces sp. allowed the formation of 1-lauroyl-phosphatidylglycerol (1-LPG) and 1- lauroyl-phosphatidyldihydrox
The Oak of Mambre presents an inner world of sound exploration, whose strands are woven through ancient cultures and traditions. Mambre is a birthplace, itself, literal and ideal. Compressions and rarefactions tell two stories; of Abram and Mambre, of survival and an heir.The Oak of Mambre begins where the reality and existence of a tone becomes manifest. Here we are looking at the sub-particulate
Aqueous two-phase systems are generated by mixing aqueous solutions of two water-soluble polymers, or a polymer and a salt. These systems offer extremely mild conditions for separation of cells, organelles, proteins and other biomolecules, in biochemical processes. Considerable attention has been directed towards the use of the two-phase systems in several areas of biotechnology. The present paper
Time-resolved x-ray absorption fine structure (XAFS) spectroscopy with pico-second temporal resolution is a new method to observe electronic and geometric structures of short-lived reaction intermediates. It combines an intense femto-second laser source synchronized to the x-ray pulses delivered into the microXAS beamline of the Swiss Light Source (SLS). We present key experiments on charge transf
This paper outlines an innovation-focused design research collaboration that connects New Zealand design and manufacturing industry with advanced design thinking about design for desirability, a research area pursued at AFFECT - the Centre for Affective Design Research at Massey University in Wellington (NZ). Nowadays, it’s all about offering products that are desirable; products need to appeal to
We present a new way of performing hypothesis tests on scattering data, by means of a perturbatively calculable classifier. This classifier exploits the “history tree” of how the measured data point might have evolved out of any simpler (reconstructed) points along classical paths, while explicitly keeping quantum–mechanical interference effects by copiously employing complete leading-order matrix
