Institution
University of Haifa
Education•Haifa, 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 published on a yearly basis
Papers
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TL;DR: This paper investigated the relationship between perceived classroom control, self-regulation strategies and academic achievement in a sample of 302 sixth grade students and found that student achievement was dependent on the combined effects of teacher and student control.
Abstract: Relations between perceived classroom control, self-regulation strategies and academic achievement were investigated in a sample of 302 sixth grade students. Four distinct perceived classroom control styles were determined, based on the balance between teacher and student control over learning. It was hypothesised that student mathematics achievement would be contingent on the combined effects of teacher and student control: it would be highest when both teacher and student control is high, and would be lowest when both of them are low. Student adoption of self-regulated learning strategies would be linked to the net effect of student control: they would be highest when student control is high and teacher control is low, and would be lowest when teacher control is high and student control is low. The data tended to support these hypotheses, indicating that both achievement and self-regulation strategies were contingent on classroom processes.
156 citations
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TL;DR: Because no association between family history of diabetes and GDM recurrence was found, the large differences between ethnic groups may have also resulted from nongenetic factors, which contributes to the variability between studies.
156 citations
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15 Jun 2019TL;DR: This work presents a method that recovers color with the revised model using RGBD images, and shows that this method outperforms those using the atmospheric model.
Abstract: Robust recovery of lost colors in underwater images remains a challenging problem. We recently showed that this was partly due to the prevalent use of an atmospheric image formation model for underwater images. We proposed a physically accurate model that explicitly showed: 1)~the attenuation coefficient of the signal is not uniform across the scene but depends on object range and reflectance, 2)~the coefficient governing the increase in backscatter with distance differs from the signal attenuation coefficient. Here, we present a method that recovers color with the revised model using RGBD images. The \emph{Sea-thru} method first calculates backscatter using the darkest pixels in the image and their known range information. Then, it uses an estimate of the spatially varying illuminant to obtain the range-dependent attenuation coefficient. Using more than 1,100 images from two optically different water bodies, which we make available, we show that our method outperforms those using the atmospheric model. Consistent removal of water will open up large underwater datasets to powerful computer vision and machine learning algorithms, creating exciting opportunities for the future of underwater exploration and conservation.
156 citations
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TL;DR: Rule learning regulates the composition of synaptic NMDARs in the piriform cortex, resulting in receptors with a higher complement of the NR2a subunit protein relative to NR2b.
156 citations
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TL;DR: The aim of this study was to evaluate the effect of an intensive physical therapy protocol in patients who contract ‘intensive care unit‐acquired weakness’ (ICUAW) in terms of muscle strength, breathing and functional indices.
Abstract: Objectives The aim of this study was to evaluate the effect of an intensive physical therapy protocol in patients who contract 'intensive care unit-acquired weakness' (ICUAW), in terms of muscle strength, breathing and functional indices. Methods This was a prospective, single-blinded study in a general hospital intensive care unit (ICU). Patients who required mechanical ventilation longer than 48 h and who were expected to remain mechanically ventilated for at least another 48 h were randomly divided into two intervention groups: group I (n = 9) - the routine care group, received physical therapy according to our daily custom protocol; and group II (n = 9) - the intensive treatment group, were treated by the same protocol twice a day. The main outcome measures included the Medical Research Council (MRC) physical strength examination, maximal inspiratory pressure (MIP), hand grip dynamometer and sitting balance test. Results Significant strength improvement from first (T1) to second (T2) measurements was demonstrated for variables MIP and MRC physical strength examination in favor of the intensive treatment group (P Conclusions It is possible that an intensive therapy protocol may facilitate the initial recovery process in patients who suffer from ICUAW.
156 citations
Authors
Showing all 7747 results
Name | H-index | Papers | Citations |
---|---|---|---|
Markku Laakso | 162 | 945 | 142292 |
M.-Marsel Mesulam | 150 | 558 | 90772 |
Michael Levin | 111 | 986 | 45667 |
Peter Schmidt | 105 | 638 | 61822 |
Eviatar Nevo | 95 | 848 | 40066 |
Uri Alon | 91 | 442 | 54822 |
Dan Roth | 85 | 523 | 28166 |
Simon G. Potts | 82 | 249 | 31557 |
Russell G. Foster | 79 | 318 | 23206 |
Leo Radom | 79 | 604 | 34075 |
Stevan E. Hobfoll | 74 | 271 | 35870 |
Larry Davidson | 69 | 459 | 20177 |
Alan R. Templeton | 67 | 249 | 28320 |
Uri Gneezy | 65 | 211 | 29671 |
Benny Pinkas | 64 | 156 | 21122 |