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Institution

Jožef Stefan Institute

FacilityLjubljana, 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
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Journal ArticleDOI
TL;DR: The status of human protease research and prospects for future protease-targeted drugs are reviewed, with reference to some key examples where protease drugs have succeeded or failed.
Abstract: Far from being simple degradative enzymes, proteases are now seen as key signalling molecules and desirable drug targets in several diseases. Turk discusses our success so far at targeting proteases and how these enzymes might be exploited therapeutically in the future. Until fairly recently, proteases were considered primarily to be protein-degrading enzymes. However, this view has dramatically changed and proteases are now seen as extremely important signalling molecules that are involved in numerous vital processes. Protease signalling pathways are strictly regulated, and the dysregulation of protease activity can lead to pathologies such as cardiovascular and inflammatory diseases, cancer, osteoporosis and neurological disorders. Several small-molecule drugs targeting proteases are already on the market and many more are in development. The status of human protease research and prospects for future protease-targeted drugs are reviewed here, with reference to some key examples where protease drugs have succeeded or failed.

1,233 citations

Journal ArticleDOI
TL;DR: The view of cysteine cathepsins as lysosomal proteases is changing as there is now clear evidence of their localization in other cellular compartments, and some of the remarkable advances that have taken place in the past decade are presented.

1,062 citations

Journal ArticleDOI
TL;DR: This work shows that freeze-casting suspensions of cellulose nanofibres, graphene oxide and sepiolite nanorods produces super-insulating, fire-retardant and strong anisotropic foams that perform better than traditional polymer-based insulating materials.
Abstract: High-performance thermally insulating materials from renewable resources are needed to improve the energy efficiency of buildings. Traditional fossil-fuel-derived insulation materials such as expan ...

1,009 citations

Journal ArticleDOI
TL;DR: The aim of this review article is to provide a comprehensive overview of advances achieved in the field of atomistic processes, phase transformations, simple and multicomponent nanosystems and peculiarities of mechanochemistry.
Abstract: The aim of this review article on recent developments of mechanochemistry (nowadays established as a part of chemistry) is to provide a comprehensive overview of advances achieved in the field of atomistic processes, phase transformations, simple and multicomponent nanosystems and peculiarities of mechanochemical reactions. Industrial aspects with successful penetration into fields like materials engineering, heterogeneous catalysis and extractive metallurgy are also reviewed. The hallmarks of mechanochemistry include influencing reactivity of solids by the presence of solid-state defects, interphases and relaxation phenomena, enabling processes to take place under non-equilibrium conditions, creating a well-crystallized core of nanoparticles with disordered near-surface shell regions and performing simple dry time-convenient one-step syntheses. Underlying these hallmarks are technological consequences like preparing new nanomaterials with the desired properties or producing these materials in a reproducible way with high yield and under simple and easy operating conditions. The last but not least hallmark is enabling work under environmentally friendly and essentially waste-free conditions (822 references).

908 citations

Proceedings Article
11 Aug 1986
TL;DR: The demonstration that by applying the proposed method of cover truncation and analogical matching, called TRUNC, one may drastically decrease the complexity of the knowledge base without affecting its performance accuracy is demonstrated.
Abstract: AQ15 is a multi-purpose inductive learning system that uses logic-based, user-oriented knowledge representation, is able to incrementally learn disjunctive concepts from noisy or overlapping examples, and can perform constructive induction (i.e., can generate new attributes in the process of learning). In an experimental application to three medical domains, the program learned decision rules that performed at the level of accuracy of human experts. A surprising and potentially significant result is the demonstration that by applying the proposed method of cover truncation and analogical matching, called TRUNC, one may drastically decrease the complexity of the knowledge base without affecting its performance accuracy.

839 citations


Authors

Showing all 3879 results

NameH-indexPapersCitations
Vladimir Cindro129115782000
Igor Mandić128106579498
Jure Leskovec12747389014
Matej Orešič8235226830
P. Križan7874926408
Jose Miguel Miranda7633618080
Vito Turk7427123205
Andrii Tykhonov7327024864
Masashi Yokoyama7331018817
Kostya Ostrikov7276321442
M. Starič7153019136
Boris Turk6723127006
Bostjan Kobe6627917592
Jure Zupan6122812054
Mario Sannino6028117144
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202331
202268
2021755
2020770
2019653
2018576