Institution
Jožef Stefan Institute
Facility•Ljubljana, Slovenia•
About: Jožef Stefan Institute is a facility organization based out in Ljubljana, Slovenia. It is known for research contribution in the topics: Liquid crystal & Dielectric. The organization has 3828 authors who have published 12614 publications receiving 291025 citations.
Papers published on a yearly basis
Papers
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TL;DR: In this article, a detailed review of the physics basis for the DTE2 operational scenarios, including the fusion power predictions through first principle and integrated modelling, and the impact of isotopes in the operation and physics of DTE plasmas (thermal and particle transport, high confinement mode, Be and W erosion, fuel recovery, etc).
Abstract: For the past several years, the JET scientific programme (Pamela et al 2007 Fusion Eng. Des.
82 590) has been engaged in a multi-campaign effort, including experiments in D, H and T,
leading up to 2020 and the first experiments with 50%/50% D–T mixtures since 1997 and the
first ever D–T plasmas with the ITER mix of plasma-facing component materials. For this
purpose, a concerted physics and technology programme was launched with a view to prepare
the D–T campaign (DTE2). This paper addresses the key elements developed by the JET
programme directly contributing to the D–T preparation. This intense preparation includes
the review of the physics basis for the D–T operational scenarios, including the fusion power
predictions through first principle and integrated modelling, and the impact of isotopes in the
operation and physics of D–T plasmas (thermal and particle transport, high confinement mode
(H-mode) access, Be and W erosion, fuel recovery, etc). This effort also requires improving
several aspects of plasma operation for DTE2, such as real time control schemes, heat load
control, disruption avoidance and a mitigation system (including the installation of a new
shattered pellet injector), novel ion cyclotron resonance heating schemes (such as the threeions
scheme), new diagnostics (neutron camera and spectrometer, active Alfven eigenmode
antennas, neutral gauges, radiation hard imaging systems…) and the calibration of the JET
neutron diagnostics at 14 MeV for accurate fusion power measurement. The active preparation
of JET for the 2020 D–T campaign provides an incomparable source of information and a
basis for the future D–T operation of ITER, and it is also foreseen that a large number of key
physics issues will be addressed in support of burning plasmas.
79 citations
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TL;DR: It is shown using a mass spectrometry-based approach that cathepsins L and S act as sheddases and cleave extracellular domains of CAM adhesion proteins and transmembrane receptors from the surface of cancer cells.
79 citations
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TL;DR: In this paper, the authors search for a candidate for Z c + (3900 ) in the decay to J / ψ π +, while J and P are experimentally unknown.
79 citations
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TL;DR: The purpose of this study was to determine optimal spurt duration, τs, and optimal delay, τd, between the cryogen spurt and laser pulse when using CSC in treatment of port wine stain birthmarks.
Abstract: Background and Objective
In dermatologic laser therapy, cryogen spray cooling (CSC) is a means to protect the epidermis while leaving dermal structures susceptible to thermal damage. The purpose of this study was to determine optimal spurt duration, τs, and optimal delay, τd, between the cryogen spurt and laser pulse when using CSC in treatment of port wine stain birthmarks.
Study Design/Materials and Methods
A finite difference method is used to compute temperature distributions in human skin in response to CSC. Optimal τs and τd are determined by maximizing the temperature difference between a modeled basal layer and an imaginary target chromophore.
Results
The model predicts an optimal τs of 170–300 msec and approximately 400 msec for shallow (150 μm) and deeper (400 μm) targets, respectively. Spraying for longer than the optimal τs does not critically impair cooling selectivity. For a spurt duration of 100 msec, optimal delays are 5–10 msec and 25–70 msec for a shallow and deep basal layer, respectively.
Conclusion
In the absence of knowledge about the lesion anatomy, using a τs of 100–200 msec and no delay is a good compromise. A delay is justified only when basal layer and target chromophore are relatively deep and the optimal spurt duration cannot be applied, e.g., to avoid frostbite. Lasers Surg. Med. 27:165–170, 2000. © 2000 Wiley-Liss, Inc.
79 citations
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24 Jun 1999
TL;DR: A novel application of inductive logic programming (ILP) in the area of quantitative structure-activity relationships (QSARs) is presented, using a number of relational classification and regression methods on the relational representation and comparing these to propositional methods applied to different propositionalisations of the problem.
Abstract: We present a novel application of inductive logic programming (ILP) in the area of quantitative structure-activity relationships (QSARs). The activity we want to predict is the biodegradability of chemical compounds in water. In particular, the target variable is the half-life in water for aerobic aqueous biodegradation. Structural descriptions of chemicals in terms of atoms and bonds are derived from the chemicals' SMILES encodings. Definition of substructures are used as background knowledge. Predicting biodegradability is essentially a regression problem, but we also consider a discretized version of the target variable. We thus employ a number of relational classification and regression methods on the relational representation and compare these to propositional methods applied to different propositionalisations of the problem. Some expert comments on the induced theories are also given.
79 citations
Authors
Showing all 3879 results
Name | H-index | Papers | Citations |
---|---|---|---|
Vladimir Cindro | 129 | 1157 | 82000 |
Igor Mandić | 128 | 1065 | 79498 |
Jure Leskovec | 127 | 473 | 89014 |
Matej Orešič | 82 | 352 | 26830 |
P. Križan | 78 | 749 | 26408 |
Jose Miguel Miranda | 76 | 336 | 18080 |
Vito Turk | 74 | 271 | 23205 |
Andrii Tykhonov | 73 | 270 | 24864 |
Masashi Yokoyama | 73 | 310 | 18817 |
Kostya Ostrikov | 72 | 763 | 21442 |
M. Starič | 71 | 530 | 19136 |
Boris Turk | 67 | 231 | 27006 |
Bostjan Kobe | 66 | 279 | 17592 |
Jure Zupan | 61 | 228 | 12054 |
Mario Sannino | 60 | 281 | 17144 |