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Institution

Technion – Israel Institute of Technology

EducationHaifa, Israel
About: Technion – Israel Institute of Technology is a education organization based out in Haifa, Israel. It is known for research contribution in the topics: Population & Upper and lower bounds. The organization has 31714 authors who have published 79377 publications receiving 2603976 citations. The organization is also known as: Technion Israel Institute of Technology & Ṭekhniyon, Makhon ṭekhnologi le-Yiśraʼel.


Papers
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Journal ArticleDOI
TL;DR: The critical and targetable redox-regulating enzymes, including mitochondrial electron transport chain complexes, NADPH oxidases (NOXs), enzymes related to glutathione metabolism, glutamate/cystine antiporter xCT, thioredoxin reductases (TrxRs), nuclear factor erythroid 2-related factor 2 (Nrf2), and their roles in regulating cellular ROS levels, drug resistance as well as their clinical significance are discussed.

361 citations

Journal ArticleDOI
Georges Aad1, Brad Abbott2, Jalal Abdallah3, S. Abdel Khalek4  +2871 moreInstitutions (167)
TL;DR: In this article, the authors presented the electron and photon energy calibration achieved with the ATLAS detector using about 25 fb(-1) of LHC proton-proton collision data taken at center-of-mass energies of root s = 7 and 8 TeV.
Abstract: This paper presents the electron and photon energy calibration achieved with the ATLAS detector using about 25 fb(-1) of LHC proton-proton collision data taken at centre-of-mass energies of root s = 7 and 8 TeV. The reconstruction of electron and photon energies is optimised using multivariate algorithms. The response of the calorimeter layers is equalised in data and simulation, and the longitudinal profile of the electromagnetic showers is exploited to estimate the passive material in front of the calorimeter and reoptimise the detector simulation. After all corrections, the Z resonance is used to set the absolute energy scale. For electrons from Z decays, the achieved calibration is typically accurate to 0.05% in most of the detector acceptance, rising to 0.2% in regions with large amounts of passive material. The remaining inaccuracy is less than 0.2-1% for electrons with a transverse energy of 10 GeV, and is on average 0.3% for photons. The detector resolution is determined with a relative inaccuracy of less than 10% for electrons and photons up to 60 GeV transverse energy, rising to 40% for transverse energies above 500 GeV.

361 citations

Journal ArticleDOI
TL;DR: This work reports a symmetric ‘micro-scallop’, a single-hinge microswimmer that can propel in shear thickening and shear thinning fluids by reciprocal motion at low Re, and indicates that the net propulsion is caused by modulation of the fluid viscosity upon varying the shear rate.
Abstract: Biological microorganisms swim with flagella and cilia that execute nonreciprocal motions for low Reynolds number (Re) propulsion in viscous fluids. This symmetry requirement is a consequence of Purcell's scallop theorem, which complicates the actuation scheme needed by microswimmers. However, most biomedically important fluids are non-Newtonian where the scallop theorem no longer holds. It should therefore be possible to realize a microswimmer that moves with reciprocal periodic body-shape changes in non-Newtonian fluids. Here we report a symmetric 'micro-scallop', a single-hinge microswimmer that can propel in shear thickening and shear thinning (non-Newtonian) fluids by reciprocal motion at low Re. Excellent agreement between our measurements and both numerical and analytical theoretical predictions indicates that the net propulsion is caused by modulation of the fluid viscosity upon varying the shear rate. This reciprocal swimming mechanism opens new possibilities in designing biomedical microdevices that can propel by a simple actuation scheme in non-Newtonian biological fluids.

360 citations

Journal ArticleDOI
TL;DR: Several studies have attempted to identify organizational and managerial antecedents of export performance and asse... as discussed by the authors, and they have found that these antecedent factors are important for export performance.
Abstract: Export performance has been a central construct in the study of export marketing. Several studies have attempted to identify organizational and managerial antecedents of export performance and asse...

360 citations

Journal Article
TL;DR: In this paper, the authors describe a message authentication algorithm, UMAC, which can authenticate messages (in software, on contemporary machines) roughly an order of magnitude faster than current practice (e.g., HMAC-SHA1), and about twice as fast as times previously reported for the universal hash function family MMH.
Abstract: We describe a message authentication algorithm, UMAC, which can authenticate messages (in software, on contemporary machines) roughly an order of magnitude faster than current practice (e.g., HMAC-SHA1), and about twice as fast as times previously reported for the universal hash-function family MMH. To achieve such speeds, UMAC uses a new universal hash-function family, NH, and a design which allows effective exploitation of SIMD parallelism The cryptographic work of UMAC is done using standard primitives of the user's choice, such as a block cipher or cryptographic hash function; no new heuristic primitives are developed here. Instead, the security of UMAC is rigorously proven, in the sense of giving exact and quantitatively strong results which demonstrate an inability to forge UMAC-authenticated messages assuming an inability to break the underlying cryptographic primitive. Unlike conventional, inherently serial MACs, UMAC is parallelizable, and will have ever-faster implementation speeds as machines offer up increasing amounts of parallelism. We envision UMAC as a practical algorithm for next-generation message authentication.

359 citations


Authors

Showing all 31937 results

NameH-indexPapersCitations
Robert Langer2812324326306
Nicholas G. Martin1921770161952
Tobin J. Marks1591621111604
Grant W. Montgomery157926108118
David Eisenberg156697112460
David J. Mooney15669594172
Dirk Inzé14964774468
Jerrold M. Olefsky14359577356
Joseph J.Y. Sung142124092035
Deborah Estrin135562106177
Bruce Yabsley133119184889
Jerry W. Shay13363974774
Richard N. Bergman13047791718
Shlomit Tarem129130686919
Allen Mincer129104080059
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023147
2022390
20213,397
20203,526
20193,273
20183,131