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  • 2014-2023
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  • Publikationer från KTH

  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Jovana eBelic; Jovana eBelic; Jovana eBelic; Aldo A. Faisal; +1 Authors

    The only way we can interact with the world is through movements, and our primary interactions are via the hands, thus any loss of hand function has immediate impact on our quality of life. However, to date it has not been systematically assessed how coordination in the hand's joints affects every day actions. This is important for two fundamental reasons. Firstly, to understand the representations and computations underlying motor control “in-the-wild” situations, and secondly to develop smarter controllers for prosthetic hands that have the same functionality as natural limbs. In this work we exploit the correlation structure of our hand and finger movements in daily-life. The novelty of our idea is that instead of averaging variability out, we take the view that the structure of variability may contain valuable information about the task being performed. We asked seven subjects to interact in 17 daily-life situations, and quantified behavior in a principled manner using CyberGlove body sensor networks that, after accurate calibration, track all major joints of the hand. Our key findings are: (1) We confirmed that hand control in daily-life tasks is very low-dimensional, with four to five dimensions being sufficient to explain 80–90% of the variability in the natural movement data. (2) We established a universally applicable measure of manipulative complexity that allowed us to measure and compare limb movements across tasks. We used Bayesian latent variable models to model the low-dimensional structure of finger joint angles in natural actions. (3) This allowed us to build a naïve classifier that within the first 1000 ms of action initiation (from a flat hand start configuration) predicted which of the 17 actions was going to be executed—enabling us to reliably predict the action intention from very short-time-scale initial data, further revealing the foreseeable nature of hand movements for control of neuroprosthetics and tele operation purposes. (4) Using the Expectation-Maximization algorithm on our latent variable model permitted us to reconstruct with high accuracy (<5–6° MAE) the movement trajectory of missing fingers by simply tracking the remaining fingers. Overall, our results suggest the hypothesis that specific hand actions are orchestrated by the brain in such a way that in the natural tasks of daily-life there is sufficient redundancy and predictability to be directly exploitable for neuroprosthetics. QC 20160413

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    Frontiers in Computational Neuroscience
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    Article . 2015
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    Frontiers in Computational Neuroscience
    Article . 2015 . Peer-reviewed
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      Frontiers in Computational Neuroscience
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      Frontiers in Computational Neuroscience
      Article . 2015 . Peer-reviewed
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    Authors: Regina Magalhães; João Pereira; Oleksandr Tarasenko; Sonia Martin-Lopez; +3 Authors

    Nowadays there is an increasing demand for the cost-effective monitoring of potential threats to the integrity of high-voltage networks and electric power infrastructures. Optical fiber sensors are a particularly interesting solution for applications in these environments, due to their low cost and positive intrinsic features, including small size and weight, dielectric properties, and invulnerability to electromagnetic interference (EMI). However, due precisely to their intrinsic EMI-immune nature, the development of a distributed optical fiber sensing solution for the detection of partial discharges and external electrical fields is in principle very challenging. Here, we propose a method to exploit the third-order and second-order nonlinear effects in silica fibers, as a means to achieve highly sensitive distributed measurements of external electrical fields in real time. By monitoring the electric-field-induced variations in the refractive index using a highly sensitive Rayleigh-based CP-&phi OTDR scheme, we demonstrate the distributed detection of Kerr and Pockels electro-optic effects, and how those can assign a new sensing dimension to optical fibers, transducing external electric fields into visible minute disturbances in the guided light. The proposed sensing configuration, electro-optical time domain reflectometry, is validated both theoretically and experimentally, showing experimental second-order and third-order nonlinear coefficients, respectively, of &chi 22 m2/V2 for silica fibers. (2) ~ 0.27 × (3) ~ 2.5 × 12 m/V and &chi 10&minus

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    Authors: Cánovas, Rocío; Padrell Sánchez, Sara; Parrilla, Marc; Cuartero, María; +1 Authors

    We present the most complete study to date comprising in vitro cytotoxicity tests of ion-selective membranes (ISMs) in terms of cell viability, proliferation, and adhesion assays with human dermal fibroblasts. ISMs were prepared with different types of plasticizers and ionophores to be tested in combination with assays that focus on the medium-term and long-term leaching of compounds. Furthermore, the ISMs were prepared in different configurations considering (i) inner-filling solution-type electrodes, (ii) all-solid-state electrodes based on a conventional drop-cast of the membrane, (iii) peeling after the preparation of a wearable sensor, and (iv) detachment from a microneedle-based sensor, thus covering a wide range of membrane shapes. One of the aims of this study, other than the demonstration of the biocompatibility of various ISMs and materials tested herein, is to create an awareness in the scientific community surrounding the need to perform biocompatibility assays during the the very first steps of any sensor development with an intended biomedical application. This will foster meeting the requirements for subsequent on-body application of the sensor and avoiding further problems during massive validations toward the final in vivo use and commercialization of such devices. QC 20211129

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    ACS Sensors
    Other literature type . Article . 2019 . Peer-reviewed
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      Other literature type . Article . 2019 . Peer-reviewed
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    Authors: Innocenti, M.E.; Goldman, M.; Newman, D.; Markidis, Stefano; +1 Authors

    © 2015. The American Astronomical Society. All rights reserved.. The long-term evolution of large domain particle-in-cell simulations of collisionless magnetic reconnection is investigated following observations that show two possible outcomes for collisionless reconnection: toward a Petschek-like configuration or toward multiple X points. In the present simulation, a mixed scenario develops. At earlier time, plasmoids are emitted, disrupting the formation of Petschek-like structures. Later, an almost stationary monster plasmoid forms, preventing the emission of other plasmoids. A situation reminiscent of Petschek's switch-off then ensues. Switch-off is obtained through a slow shock/rotational discontinuity compound structure. Two external slow shocks (SS) located at the separatrices reduce the in-plane tangential component of the magnetic field, but not to zero. Two transitions reminiscent of rotational discontinuities (RD) in the internal part of the exhaust then perform the final switch-off. Both the SS and the RD are characterized through analysis of their Rankine-Hugoniot jump conditions. A moderate guide field is used to suppress the development of the firehose instability in the exhaust. ispartof: ASTROPHYSICAL JOURNAL LETTERS vol:810 issue:2 status: published

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    Lirias
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    The Astrophysical Journal Letters
    Article . 2015 . Peer-reviewed
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    Article . 2015 . Peer-reviewed
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      The Astrophysical Journal Letters
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      Article . 2015 . Peer-reviewed
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    Authors: Bu, Junfu; Jönsson, Pär; Zhao, Zhe;

    A pure and well crystalized yttrium doped hafnium oxide Hf0.69Y0.31O2-δ (YSH) is obtained by using a modified solid state reaction method, where a water-based milling medium and freeze drying are implemented to reduce the agglomeration. The mean sizes of the YSH powder, which is obtained through a traditional alcohol-based milling method, is more than 1 um. However, the powder size can be reduced to 100 nm by using the water-based milling method. In addition, the calcination temperature can be lowered 200 °C to get a pure phase by using the water-based milling method, compared to the alcohol-based milling method. The relative density of YSH ceramic materials can reach to 97.5% by conventional sintering at 1650 °C after during 10 h. QC 20150422

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    Article . 2014 . Peer-reviewed
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    Authors: Bögel, Paula; Pereverza, Kateryna; Upham, Paul; Kordas, Olga;

    While the role of agency is widely acknowledged in socio-technical transition research, there remains a research gap on agency in transitions and a call for studies using an actor-centred approach to transition studies. In response to this call, this paper addresses the role of actors and, particularly, organisations in transitions. It examines the role of organisational change in socio-technical sustainability transitions and, more specifically, how transition initiatives may trigger and support these changes in organisations and systems. For this purpose, the paper draws on literature from both transition studies and organisational change management (OCM) to build a multi-scale, integrative theoretical heuristic. This addresses drivers and barriers for organisational change as an integral part of transition processes, connecting the micro level of the individual, the meso level of the organisation and the macro level of the broader system in which the organisation is located. With the goal of illustrating the links between OCM and transition studies, this paper empirically examines the impact of Region 2050, a large, multi-organisation transition initiative in Sweden, in terms of creating change within the organisations involved. The main focus is on how the organisations acquire the new knowledge and capabilities required for improving regional planning for sustainability. The empirical study identifies leverage points at the micro-, meso- and macro-levels, which may be used in order to change strategic planning processes. Three different theoretical concepts from transition studies and OCM that could help to foster long-term planning are also identified: (1) the macro-level of institutional plurality and its connection to the meso- (organisational) level; (2) collaboration as a key success factor on the organisational level; and (3) at the micro-level, the roles of individuals as change agents and boundary spanners. Overall, the case highlights the merits of the OCM literature for transition studies and their emphasis on understanding interacting processes operating at multiple scales. QC 20190318

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    Authors: Marie-Christine Zdora; Pierre Thibault; Tunhe Zhou; Frieder J. Koch; +5 Authors

    We present a method for x-ray phase-contrast imaging and metrology applications based on the sample-induced modulation and subsequent computational demodulation of a random or periodic reference interference pattern. The proposed unified modulated pattern analysis (UMPA) technique is a versatile approach and allows tuning of signal sensitivity, spatial resolution, and scan time. We characterize the method and demonstrate its potential for high-sensitivity, quantitative phase imaging, and metrology to overcome the limitations of existing methods. QC 20170614

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    UCL Discovery
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    Physical Review Letters
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    Article . 2017 . Peer-reviewed
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      UCL Discovery
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      Article . 2017 . Peer-reviewed
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    Authors: Owrang, Arash; Malek-Mohammadi, Mohammadreza; Proutiere, Alexandre; Jansson, Magnus;

    We consider the problem of offline change point detection from noisy piecewise constant signals. We propose normalized fused LASSO (FL), an extension of the FL, obtained by normalizing the columns of the sensing matrix of the LASSO equivalent. We analyze the performance of the proposed method, and in particular, we show that it is consistent in detecting change points as the noise variance tends to zero. Numerical experiments support our theoretical findings. QC 20170614

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    IEEE Signal Processing Letters
    Article . 2017 . Peer-reviewed
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      IEEE Signal Processing Letters
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    Authors: Magn��sson, S.; Weeraddana, P. C.; Fischione, C.;

    The optimal power flow (OPF) problem, which plays a central role in operating electrical networks is considered. The problem is nonconvex and is in fact NP hard. Therefore, designing efficient algorithms of practical relevance is crucial, though their global optimality is not guaranteed. Existing semi-definite programming relaxation based approaches are restricted to OPF problems where zero duality holds. In this paper, an efficient novel method to address the general nonconvex OPF problem is investigated. The proposed method is based on alternating direction method of multipliers combined with sequential convex approximations. The global OPF problem is decomposed into smaller problems associated to each bus of the network, the solutions of which are coordinated via a light communication protocol. Therefore, the proposed method is highly scalable. The convergence properties of the proposed algorithm are mathematically substantiated. Finally, the proposed algorithm is evaluated on a number of test examples, where the convergence properties of the proposed algorithm are numerically substantiated and the performance is compared with a global optimal method. 14 pages

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    arXiv.org e-Print Archive
    Other literature type . Preprint . 2014
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    IEEE Transactions on Control of Network Systems
    Article . 2015 . Peer-reviewed
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    Article . 2014
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      arXiv.org e-Print Archive
      Other literature type . Preprint . 2014
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      IEEE Transactions on Control of Network Systems
      Article . 2015 . Peer-reviewed
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Niklas Wahlström; Ulrica Edlund; Henrik Pavia; Gunilla B. Toth; +6 Authors

    We report (1) successful extraction and characterization of cellulose from northern hemisphere green macroalgae Ulva lactuca (Ulva fenestrata) collected along the Swedish west coast and cultivated indoors under controlled conditions, followed by (2) its utilization in the production of lignin-free cellulose nanofibrils (CNF). Cellulose was extracted by sequential treatment with ethanol, hydrogen peroxide, sodium hydroxide, and hydrochloric acid, yielding a cellulose-rich insoluble fraction. The extracted cellulose was disintegrated into CNF using a mechanical homogenization process without any further enzymatic pre-treatments. In addition, regenerated cellulose was prepared. XRD characterization of the CNF showed characteristic peaks for the cellulose I allomorph and confirmed that the nanofibrils were semicrystalline with a crystallinity index of 48%. Regenerated cellulose was mostly amorphous with an XRD pattern indicating the presence of the cellulose II allomorph. The cellulose fractions were essentially free from inorganic substances and thermally stable up to around 260 degrees C. Structural mapping with CP-MAS C-13-NMR sustains the cellulose content of CNF and regenerated cellulose, respectively, yet ion chromatography identified the presence of 10-15% xylose in the fractions. Optotracing was used as a novel and non-disruptive tool to selectively assess the polysaccharide composition of the cellulose fractions and produced CNF aiming to shed light on this hitherto non-resolved origin of xylose in Ulva cell wall matter. Fluorescence excitation and emission spectra of a panel of 4 oligothiophenes identified and verified the presence of cellulose and sustain the conclusion that the isolated fractions consist of cellulose intertwined with a small amount of a xylose-containing glucan copolymer. [GRAPHICS] . Funding Agencies|Royal Institute of Technology; Swedish Foundation for Strategic Research (SSF)Swedish Foundation for Strategic Research [RBP14-0045]; Erling-Persson Family Foundation; Getinge AB

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    Cellulose
    Article . 2020 . Peer-reviewed
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    Cellulose
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      Cellulose
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Jovana eBelic; Jovana eBelic; Jovana eBelic; Aldo A. Faisal; +1 Authors

    The only way we can interact with the world is through movements, and our primary interactions are via the hands, thus any loss of hand function has immediate impact on our quality of life. However, to date it has not been systematically assessed how coordination in the hand's joints affects every day actions. This is important for two fundamental reasons. Firstly, to understand the representations and computations underlying motor control “in-the-wild” situations, and secondly to develop smarter controllers for prosthetic hands that have the same functionality as natural limbs. In this work we exploit the correlation structure of our hand and finger movements in daily-life. The novelty of our idea is that instead of averaging variability out, we take the view that the structure of variability may contain valuable information about the task being performed. We asked seven subjects to interact in 17 daily-life situations, and quantified behavior in a principled manner using CyberGlove body sensor networks that, after accurate calibration, track all major joints of the hand. Our key findings are: (1) We confirmed that hand control in daily-life tasks is very low-dimensional, with four to five dimensions being sufficient to explain 80–90% of the variability in the natural movement data. (2) We established a universally applicable measure of manipulative complexity that allowed us to measure and compare limb movements across tasks. We used Bayesian latent variable models to model the low-dimensional structure of finger joint angles in natural actions. (3) This allowed us to build a naïve classifier that within the first 1000 ms of action initiation (from a flat hand start configuration) predicted which of the 17 actions was going to be executed—enabling us to reliably predict the action intention from very short-time-scale initial data, further revealing the foreseeable nature of hand movements for control of neuroprosthetics and tele operation purposes. (4) Using the Expectation-Maximization algorithm on our latent variable model permitted us to reconstruct with high accuracy (<5–6° MAE) the movement trajectory of missing fingers by simply tracking the remaining fingers. Overall, our results suggest the hypothesis that specific hand actions are orchestrated by the brain in such a way that in the natural tasks of daily-life there is sufficient redundancy and predictability to be directly exploitable for neuroprosthetics. QC 20160413

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    Frontiers in Computational Neuroscience
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    Article . 2015
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    Frontiers in Computational Neuroscience
    Article . 2015 . Peer-reviewed
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      Frontiers in Computational Neuroscience
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      Frontiers in Computational Neuroscience
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