scispace - formally typeset
Search or ask a question
Institution

University of Haifa

EducationHaifa, Israel
About: University of Haifa is a education organization based out in Haifa, Israel. It is known for research contribution in the topics: Population & Poison control. The organization has 7558 authors who have published 27141 publications receiving 711629 citations. The organization is also known as: Haifa University & Universiṭat Ḥefah.


Papers
More filters
Journal ArticleDOI
TL;DR: A novel, more ecologically valid approach for neuropsychological assessment is presented, motivated by the view that metacognitive processes of self-monitoring and self-regulation are fundamental determinants of competent functioning in the real world.
Abstract: While the role of impaired cognition in accounting for functional outcome in schizophrenia is generally established by now, the overlap is far from complete. Moreover, little is known about the potential mechanisms that bridge between cognition and functional outcome. The aim of this article is to aid in closing this gap by presenting a novel, more ecologically valid approach for neuropsychological assessment. The new approach is motivated by the view that metacognitive processes of self-monitoring and self-regulation are fundamental determinants of competent functioning in the real world. The new approach incorporates experimental psychological concepts and paradigms used to study metacognition into current standard neuropsychological assessment procedures. Preliminary empirical data that support and demonstrate the utility of the new approach for assessment, as well as remediation efforts, in schizophrenia are presented and discussed.

233 citations

Journal ArticleDOI
TL;DR: The identification of a new HTAP resistance gene from Triticum turgidum ssp.
Abstract: Several new races of the stripe rust pathogen have become frequent throughout the wheat growing regions of the United States since 2000. These new races are virulent to most of the wheat seedling resistance genes limiting the resistance sources that can be used to combat this pathogen. High-temperature adult-plant (HTAP) stripe rust resistance has proven to be more durable than seedling resistance due to its non-race-specific nature, but its use is limited by the lack of mapping information. We report here the identification of a new HTAP resistance gene from Triticum turgidum ssp. dicoccoides (DIC) designated as Yr36. Lines carrying this gene were susceptible to almost all the stripe rust pathogen races tested at the seedling stage but showed adult-plant resistance to the prevalent races in California when tested at high diurnal temperatures. Isogenic lines for this gene were developed by six backcross generations. Field tests in two locations showed increased levels of field resistance to stripe rust and increased yields in isogenic lines carrying the Yr36 gene compared to those without the gene. Recombinant substitution lines of chromosome 6B from DIC in the isogenic background of durum cv. Langdon were used to map the Yr36 gene on the short arm of chromosome 6B completely linked to Xbarc101, and within a 2-cM interval defined by PCR-based markers Xucw71 and Xbarc136. Flanking locus Xucw71 is also closely linked to the grain protein content locus Gpc-B1 (0.3-cM). Marker-assisted selection strategies are presented to improve stripe rust resistance and simultaneously select for high or low Gpc-B1 alleles.

233 citations

Journal ArticleDOI
01 May 2001
TL;DR: In this article, Component averaging (CAV) is introduced as a new iterative parallel technique suitable for large and sparse unstructured systems of linear equations, which simultaneously projects the current iterate onto all the system's hyperplanes, and is thus inherently parallel.
Abstract: Component averaging (CAV) is introduced as a new iterative parallel technique suitable for large and sparse unstructured systems of linear equations. It simultaneously projects the current iterate onto all the system's hyperplanes, and is thus inherently parallel. However, instead of orthogonal projections and scalar weights (as used, for example, in Cimmino's method), it uses oblique projections and diagonal weighting matrices, with weights related to the sparsity of the system matrix. These features provide for a practical convergence rate which approaches that of algebraic reconstruction technique (ART) (Kaczmarz's row-action algorithm) – even on a single processor. Furthermore, the new algorithm also converges in the inconsistent case. A proof of convergence is provided for unit relaxation, and the fast convergence is demonstrated on image reconstruction problems of the Herman head phantom obtained within the SNARK93 image reconstruction software package. Both reconstructed images and convergence plots are presented. The practical consequences of the new technique are far reaching for real-world problems in which iterative algorithms are used for solving large, sparse, unstructured and often inconsistent systems of linear equations.

233 citations

Journal ArticleDOI
TL;DR: The authors examined the relationship between memorization of new words (short-term and long-term) and teaching techniques involving different modes of vocabulary presentation and different language of vocabulary glossing and found that glossed words were always better retained than those glossed in L 2.
Abstract: The paper examines the relationship between memorization of new words (short-term and long-term) and teaching techniques involving different modes of vocabulary presentation and different language of vocabulary glossing. The four modes were: 1- words presented in isolation, 2 - in 'minimal context', i.e., in one meaningful sentence, 3 - in text-context, 4 - in 'elaborated' text context, i.e., in the original text supplemented by clarifying phrases and sentences. In each mode of presentation, half (ten) of the words were translated into learners' L 1 and half were explained in English. An additional group of learners served as a control. They were asked to learn the words for a quiz by themselves. All subjects were tested on the short-term and long-term retention of the target words. Retention scores were compared by mode of presentation, language of glossing and the interaction between the two. Words glossed in L 1 were always better retained than those glossed in L2. As for context effect, words presente...

233 citations

Journal ArticleDOI
TL;DR: For instance, the authors used fMRI to examine brain activation patterns while 16 healthy participants read brief three-sentence stories that concluded with either a literal, metaphoric, or ironic sentence.

232 citations


Authors

Showing all 7747 results

NameH-indexPapersCitations
Markku Laakso162945142292
M.-Marsel Mesulam15055890772
Michael Levin11198645667
Peter Schmidt10563861822
Eviatar Nevo9584840066
Uri Alon9144254822
Dan Roth8552328166
Simon G. Potts8224931557
Russell G. Foster7931823206
Leo Radom7960434075
Stevan E. Hobfoll7427135870
Larry Davidson6945920177
Alan R. Templeton6724928320
Uri Gneezy6521129671
Benny Pinkas6415621122
Network Information
Related Institutions (5)
Rutgers University
159.4K papers, 6.7M citations

91% related

University of Maryland, College Park
155.9K papers, 7.2M citations

91% related

University of Amsterdam
140.8K papers, 5.9M citations

90% related

Boston University
119.6K papers, 6.2M citations

90% related

Utrecht University
139.3K papers, 6.2M citations

90% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202394
2022304
20211,979
20201,822
20191,579
20181,505