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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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Book
17 Apr 2017
TL;DR: Neural networks are a family of powerful machine learning models as mentioned in this paper, and they have been widely used in natural language processing applications such as machine translation, syntactic parsing, and multi-task learning.
Abstract: Neural networks are a family of powerful machine learning models. This book focuses on the application of neural network models to natural language data. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. It also covers the computation-graph abstraction, which allows to easily define and train arbitrary neural networks, and is the basis behind the design of contemporary neural network software libraries. The second part of the book (Parts III and IV) introduces more specialized neural network architectures, including 1D convolutional neural networks, recurrent neural networks, conditioned-generation models, and attention-based models. These architectures and techniques are the driving force behind state-of-the-art algorithms for machine translation, syntactic parsing, and many other applications. Finally, we also discuss tree-shaped networks, structured prediction, and the prospects of multi-task learning.

625 citations

Journal ArticleDOI
TL;DR: In this paper, the authors studied the temporal correlations in the atmospheric variability by 14 meteorological stations around the globe, the variations of the daily maximum temperatures from their average values, and found that the persistence, characterized by the correlation C(s) of temperature variations separated by s days, approximately decays.
Abstract: We study the temporal correlations in the atmospheric variability by 14 meteorological stations around the globe, the variations of the daily maximum temperatures from their average values. We apply several methods that can systematically overcome possible nonstationarities in the data. We find that the persistence, characterized by the correlation C(s) of temperature variations separated by s days, approximately decays $C(s)\ensuremath{\sim}{s}^{\ensuremath{-}\ensuremath{\gamma}}$, with roughly the same exponent $\ensuremath{\gamma}\ensuremath{\cong}0.7$ for all stations considered. The range of this universal persistence law seems to exceed one decade, and is possibly even larger than the range of the temperature series considered.

613 citations

Journal ArticleDOI
TL;DR: The results indicate that persons with TBI and their families may need professional assistance to maintain a reasonable psychosocial quality of life, even more than a decade post-injury.
Abstract: The goal of this study was to measure the very long-term mental and psychosocial outcomes of severe traumatic brain injury (TBI). Seventy-six persons with severe TBI were evaluated extensively by m...

612 citations

Journal ArticleDOI
TL;DR: Li-sulfur batteries have high theoretical energy density that can revolutionize electrochemical propulsion capability Consequently, in recent years there has been much work throughout the world related to these systems as mentioned in this paper.
Abstract: The development and commercialization of Li ion batteries during recent decades is one of the great successes of modern electrochemistry The increasing reliability of Li ion batteries makes them natural candidates as power sources for electric vehicles However, their current energy density, which can reach an average of 200 Wh kg−1 on the single cell level, limits the possible driving range of electric cars propelled by Li-ion batteries Thereby, there is a strong driving force to develop power sources technologies beyond Li-ion batteries that will mark breakthroughs in energy density capabilities Li-sulfur batteries have high theoretical energy density that can revolutionize electrochemical propulsion capability Consequently, in recent years there has been much work throughout the world related to these systems The scope of work on this topic justifies frequent publications of review articles that summarize recent extensive work and provide guidelines and direction for focused future work Here, a comprehensive, systematic work related to Li-sulfur battery systems is described, beginning with the Li anode challenges, carbon-encapsulated sulfur cathodes, and various kinds of relevant electrolyte solutions Based on the work described and parallel recent studies by other groups, important and comprehensive guidelines for further research and development efforts in this field are provided

611 citations

Journal ArticleDOI
TL;DR: In this paper, the surface chemistry of the following cathode materials: LiCoO 2, V 2 O 5, LiMn 2 O 4, Li Mn 0.5 O 4 and Li MmN 0.

611 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