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Institution

Bar-Ilan University

EducationRamat Gan, Israel
About: Bar-Ilan University is a education organization based out in Ramat Gan, Israel. It is known for research contribution in the topics: Population & Poison control. The organization has 12835 authors who have published 34964 publications receiving 995648 citations. The organization is also known as: Bar Ilan University & BIU.


Papers
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Proceedings ArticleDOI
Toshinori Araki1, Jun Furukawa1, Yehuda Lindell2, Ariel Nof2, Kazuma Ohara1 
24 Oct 2016
TL;DR: In this paper, the authors describe a new information-theoretic protocol (and a computationally secure variant) for secure three-party computation with an honest majority, and demonstrate that high-throughput secure computation is possible on standard hardware.
Abstract: In this paper, we describe a new information-theoretic protocol (and a computationally-secure variant) for secure three-party computation with an honest majority. The protocol has very minimal computation and communication; for Boolean circuits, each party sends only a single bit for every AND gate (and nothing is sent for XOR gates). Our protocol is (simulation-based) secure in the presence of semi-honest adversaries, and achieves privacy in the client/server model in the presence of malicious adversaries. On a cluster of three 20-core servers with a 10Gbps connection, the implementation of our protocol carries out over 1.3 million AES computations per second, which involves processing over 7 billion gates per second. In addition, we developed a Kerberos extension that replaces the ticket-granting-ticket encryption on the Key Distribution Center (KDC) in MIT-Kerberos with our protocol, using keys/ passwords that are shared between the servers. This enables the use of Kerberos while protecting passwords. Our implementation is able to support a login storm of over 35,000 logins per second, which suffices even for very large organizations. Our work demonstrates that high-throughput secure computation is possible on standard hardware.

261 citations

Journal ArticleDOI
TL;DR: A novel ketone ester can ameliorate proteopathic and behavioral deficits in a mouse AD model by reducing levels of hyperphosphorylated tau deposition in the regions of the hippocampus, amygdala, and cortex.

261 citations

Journal ArticleDOI
TL;DR: Electrodes Reference EPFL-ARTICLE-159236 describes the construction of cathode materials for lithium batteries using nanoparticles and shows thermal stability and thermal stability problems with respect to surface chemistry and performance.
Abstract: Keywords: cathode materials ; lithium batteries ; nanoparticles ; surface chemistry ; thermal stability ; Performance ; Electrodes Reference EPFL-ARTICLE-159236doi:10.1002/anie.200903587View record in Web of Science Record created on 2010-11-30, modified on 2017-05-12

261 citations

Journal ArticleDOI
TL;DR: The mechanisms by which follicle stimulating hormone, luteinizing hormone, growth factors and steroids may promote or disrupt follicular development are discussed in detail and possible implications of these new facts on diagnosis and treatment of ovulatory disturbances are described.
Abstract: The female reproductive cycle is based on a co-ordinated function of several regulatory elements and signalling systems. Of the approximately 7 million oocytes present in the human fetal ovary, only 475 will eventually ovulate. In the human, the development of a primordial follicle into a dominant one takes about 10 weeks. Approximately 300 follicles are recruited initially for growth and development, 30 of them are likely to become gonadotropin-dependent and enter competition for dominance and, finally, only one will achieve ovulation. The mechanisms by which follicle stimulating hormone, luteinizing hormone, growth factors and steroids may promote or disrupt follicular development are discussed in detail. Possible implications of these new facts on diagnosis and treatment of ovulatory disturbances are described.

261 citations

Journal ArticleDOI
Liad Uziel1
TL;DR: It is argued that scales measuring impression management should be redefined as measures of interpersonally oriented self- control that identify individuals who demonstrate high levels of self-control, especially in social contexts.
Abstract: Social desirability (specifically, impression management) scales are widely used by researchers and practitioners to screen individuals who bias self-reports in a self-favoring manner. These scales also serve to identify individuals at risk for psychological and health problems. The present review explores the evidence with regard to the ability of these scales to achieve these objectives. In the first part of the review, I present six criteria to evaluate impression management scales and conclude that they are unsatisfactory as measures of response style. Next, I explore what individual differences in impression management scores actually do measure. I compare two approaches: a defensiveness approach, which argues that these scales measure defensiveness that stems from vulnerable self-esteem, and an adjustment approach, which suggests that impression management is associated with personal well-being and interpersonal adjustment. Data from a wide variety of fields including social behavior, affect and wellbeing, health, and job performance tend to favor the adjustment approach. Finally, I argue that scales measuring impression management should be redefined as measures of interpersonally oriented self-control that identify individuals who demonstrate high levels of self-control, especially in social contexts.

260 citations


Authors

Showing all 13037 results

NameH-indexPapersCitations
H. Eugene Stanley1541190122321
Albert-László Barabási152438200119
Shlomo Havlin131101383347
Stuart A. Aaronson12965769633
Britton Chance128111276591
Mark A. Ratner12796868132
Doron Aurbach12679769313
Jun Yu121117481186
Richard J. Wurtman11493353290
Amir Lerman11187751969
Zhu Han109140748725
Moussa B.H. Youdim10757442538
Juan Bisquert10745046267
Rachel Yehuda10646136726
Michael F. Green10648545707
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023117
2022330
20212,286
20202,157
20191,920
20181,768