Institution
Ariel University
Education•Ariel, Israel•
About: Ariel University is a education organization based out in Ariel, Israel. It is known for research contribution in the topics: Population & Poison control. The organization has 1965 authors who have published 5848 publications receiving 66643 citations.
Topics: Population, Poison control, Anxiety, Social media, Catalysis
Papers published on a yearly basis
Papers
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Alexander A. Aarts, Joanna E. Anderson1, Christopher J. Anderson2, Peter Raymond Attridge3 +287 more•Institutions (116)
TL;DR: A large-scale assessment suggests that experimental reproducibility in psychology leaves a lot to be desired, and correlational tests suggest that replication success was better predicted by the strength of original evidence than by characteristics of the original and replication teams.
Abstract: Reproducibility is a defining feature of science, but the extent to which it characterizes current research is unknown. We conducted replications of 100 experimental and correlational studies published in three psychology journals using high-powered designs and original materials when available. Replication effects were half the magnitude of original effects, representing a substantial decline. Ninety-seven percent of original studies had statistically significant results. Thirty-six percent of replications had statistically significant results; 47% of original effect sizes were in the 95% confidence interval of the replication effect size; 39% of effects were subjectively rated to have replicated the original result; and if no bias in original results is assumed, combining original and replication results left 68% with statistically significant effects. Correlational tests suggest that replication success was better predicted by the strength of original evidence than by characteristics of the original and replication teams.
5,532 citations
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TL;DR: In this study the self-reports of subjects, were replaced by more objective criteria, measurements of the user-information upload on Facebook, and a strong connection was found between personality and Facebook behavior.
882 citations
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TL;DR: The data highlight the complex evolution of MDR and XDR K. pneumoniae, involving transfer and spread of ARGs, and epidemic plasmids in highly disseminating successful clones, and a need for future genomic and translational studies to decipher specific targets in HiR clones to design targeted prevention and treatment.
Abstract: Klebsiella pneumoniae is an important multidrug-resistant (MDR) pathogen affecting humans and a major source for hospital infections associated with high morbidity and mortality due to limited treatment options We summarize the wide resistome of this pathogen, which encompasses plentiful chromosomal and plasmid-encoded antibiotic resistance genes (ARGs) Under antibiotic selective pressure, K pneumoniae continuously accumulates ARGs, by de novo mutations, and via acquisition of plasmids and transferable genetic elements, leading to extremely drug resistant (XDR) strains harboring a 'super resistome' In the last two decades, numerous high-risk (HiR) MDR and XDR K pneumoniae sequence types have emerged showing superior ability to cause multicontinent outbreaks, and continuous global dissemination The data highlight the complex evolution of MDR and XDR K pneumoniae, involving transfer and spread of ARGs, and epidemic plasmids in highly disseminating successful clones With the worldwide catastrophe of antibiotic resistance and the urgent need to identify the main pathogens that pose a threat on the future of infectious diseases, further studies are warranted to determine the epidemic traits and plasmid acquisition in K pneumoniae There is a need for future genomic and translational studies to decipher specific targets in HiR clones to design targeted prevention and treatment
654 citations
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TL;DR: In this paper, a rigorous derivation of Young, Cassie-Baxter and Wenzel equations carried out in the framework of the unified thermodynamic approach is presented, where Wetting of rough surfaces controlled with external stimuli is treated.
459 citations
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TL;DR: The results suggest that the FCV-19S has good psychometric properties, and can be utilized in studies assessing the effects of the pandemic on the population's mental health.
Abstract: Mental health clinicians worldwide have been expressing concerns regarding the broad psychological effects of the COVID-19 pandemic. Nonetheless, only a few studies have thus far evaluated the degree of fear of COVID-19, partially due to the lack of validated measures. In this study we evaluated the psychometric properties of the Hebrew version of the Fear of COVID-19 scale (FCV-19S), recently developed to assess different aspects of the fear of the pandemic, in a normative population of participants in Israel. Participants (n = 639) were asked to complete the FCV-19S scale, as well as to report anxiety, depression, and stress levels using validated scales. The results a unidimensional factor structure of the FCV-19S which explained 53.71% of the variance. When forcing a two-factor structure model, the analysis revealed two factors pertaining to emotional fear reactions and symptomatic expressions of fear. Gender, sociodemographic status, chronic illness, being in an at-risk group, and having a family member dying of COVID-19 were positively associated with fear of COVID-19. The measure was associated with anxiety, stress and depression. These results suggest that the FCV-19S has good psychometric properties, and can be utilized in studies assessing the effects of the pandemic on the population's mental health.
393 citations
Authors
Showing all 2021 results
Name | H-index | Papers | Citations |
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Gideon Koren | 129 | 1994 | 81718 |
Yehuda Shoenfeld | 125 | 1629 | 77195 |
Yoav Gilad | 71 | 175 | 22992 |
Zahava Solomon | 68 | 394 | 16245 |
Asher Ornoy | 67 | 367 | 13274 |
Jay R. Hoffman | 64 | 374 | 13598 |
Michael Y. Sherman | 55 | 143 | 10248 |
Ofer Shpilberg | 52 | 263 | 13978 |
Shai Ashkenazi | 50 | 360 | 10791 |
Shiri Navon-Venezia | 50 | 121 | 9310 |
Edward Bormashenko | 49 | 337 | 8777 |
Mona Boaz | 46 | 278 | 8430 |
Yair Bartal | 44 | 119 | 6702 |
Dan Meyerstein | 39 | 409 | 6890 |
Daniel S. Moran | 38 | 140 | 5918 |