Tel Aviv University

About: Tel Aviv University is a education organization based out in Tel Aviv, Israel. It is known for research contribution in the topics: Population & Medicine. The organization has 47791 authors who have published 115959 publications receiving 3904391 citations. The organization is also known as: TAU & Universiṭat Tel-Aviv.

Exposure to Terrorism, Stress-Related Mental Health Symptoms, and Coping Behaviors Among a Nationally Representative Sample in Israel

Abstract: ContextThe terrorist attacks on Israeli society have been ongoing since September 2000. However, few studies have examined the impact of terrorism on nationally representative population samples, and no study has examined the psychological impact of ongoing terrorism in Israel.ObjectivesTo determine the level of exposure to terrorist attacks and the prevalence of traumatic stress–related (TSR) symptoms, symptoms of posttraumatic stress disorder (PTSD), and sense of safety after 19 months of terrorism in Israel, and to identify correlates of the psychological sequelae and the modes of coping with the terrorism.Design, Setting, and ParticipantsTelephone survey conducted April-May 2002, using a strata sampling method, of 902 eligible households and a representative sample of 742 Israeli residents older than 18 years (82% contact rate) and a final participation of 512 (57%).Main Outcome MeasuresNumber of TSR symptoms, rates of those with symptom criteria for PTSD and acute stress disorder assessed by the Stanford Acute Stress Reaction Questionnaire, self-reported feelings of depression, optimism, sense of safety, help-seeking, and modes of coping.ResultsOf 512 survey participants, 84 (16.4%) had been directly exposed to a terrorist attack and 191 (37.3%) had a family member or friend who had been exposed. Of 510 participants who responded to questions about TSR symptoms, 391 (76.7%) had at least 1 TSR symptom (mean, 4.0 [SD, 4.5]; range, 0-23; mean intensity, 0.8; range, 0-4). Symptom criteria for PTSD were met by 48 participants (9.4%) and criteria for acute stress disorder, by 1 participant; 299 (58.6%) reported feeling depressed. The majority of respondents expressed optimism about their personal future (421/512 [82.2%]) and the future of Israel (307/509 [66.8%]), and expressed self-efficacy with regard to their ability to function in a terrorist attack (322/431 [74.6%]). Most expressed a low sense of safety with respect to themselves (307/509 [60.4%]) and their relatives (345/507 [67.9%]). Few reported a need for professional help (27/506 [5.3%]). Female sex, sense of safety, and use of tranquilizers, alcohol, and cigarettes to cope were associated with TSR symptoms and symptom criteria for PTSD; level of exposure and objective risk were not. The most prevalent coping mechanisms were active information search about loved ones and social support.ConclusionsConsidering the nature and length of the Israeli traumatic experience, the psychological impact may be considered moderate. Although the survey participants showed distress and lowered sense of safety, they did not develop high levels of psychiatric distress, which may be related to a habituation process and to coping mechanisms.

Measurement of an excess of B̄→D(*) τ-ν̄τ decays and implications for charged Higgs bosons

Abstract: The concept for this analysis is to a large degree based on earlier BABAR work and we acknowledge the guidance provided by M. Mazur. The authors consulted with theorists A. Datta, S. Westhoff, S. Fajfer, J. Kamenik, and I. Nisandzic on the calculations of the charged Higgs contributions to the decay rates. We are grateful for the extraordinary contributions of our PEP-II colleagues in achieving the excellent luminosity and machine conditions that have made this work possible. The success of this project also relied critically on the expertise and dedication of the computing organizations that support BABAR. The collaborating institutions wish to thank SLAC for its support and the kind hospitality extended to them. This work is supported by the U.S. Department of Energy and National Science Foundation, the Natural Sciences and Engineering Research Council (Canada), the Commissariat a l'Energie Atomique and Institut National de Physique Nucleaire et de Physique des Particules (France), the Bundesministerium fur Bildung und Forschung and Deutsche Forschungsgemeinschaft (Germany), the Istituto Nazionale di Fisica Nucleare (Italy), the Foundation for Fundamental Research on Matter (Netherlands), the Research Council of Norway, the Ministry of Education and Science of the Russian Federation, Ministerio de Economia y Competitividad (Spain), and the Science and Technology Facilities Council (United Kingdom). Individuals have received support from the Marie-Curie IEF program (European Union) and the A. P. Sloan Foundation (USA).

Proteins and DNA elements essential for the CRISPR adaptation process in Escherichia coli

Abstract: The clustered regularly interspaced short palindromic repeats and their associated proteins (CRISPR/Cas) constitute a recently identified prokaryotic defense mechanism against invading nucleic acids. Activity of the CRISPR/Cas system comprises of three steps: (i) insertion of alien DNA sequences into the CRISPR array to prevent future attacks, in a process called ‘adaptation’, (ii) expression of the relevant proteins, as well as expression and processing of the array, followed by (iii) RNA-mediated interference with the alien nucleic acid. Here we describe a robust assay in Escherichia coli to explore the hitherto least-studied process, adaptation. We identify essential genes and DNA elements in the leader sequence and in the array which are essential for the adaptation step. We also provide mechanistic insights on the insertion of the repeat-spacer unit by showing that the first repeat serves as the template for the newly inserted repeat. Taken together, our results elucidate fundamental steps in the adaptation process of the CRISPR/Cas system.

MASSIVE MOLECULAR OUTFLOWS AND NEGATIVE FEEDBACK IN ULIRGs OBSERVED BY HERSCHEL-PACS*

Abstract: Mass outflows driven by stars and active galactic nuclei (AGNs) are a key element in many current models of galaxy evolution. They may produce the observed black-hole-galaxy mass relation and regulate and quench both star formation in the host galaxy and black hole accretion. However, observational evidence of such feedback processes through outflows of the bulk of the star-forming molecular gas is still scarce. Here we report the detection of massive molecular outflows, traced by the hydroxyl molecule (OH), in far-infrared spectra of ULIRGs obtained with Herschel-PACS as part of the SHINING key project. In some of these objects the (terminal) outflow velocities exceed 1000?km?s?1, and their outflow rates (up to ~1200 M ? yr?1) are several times larger than their star formation rates. We compare the outflow signatures in different types of ULIRGs and in starburst galaxies to address the issue of the energy source (AGN or starburst) of these outflows. We report preliminary evidence that ULIRGs with a higher AGN luminosity (and higher AGN contribution to L IR) have higher terminal velocities and shorter gas depletion timescales. The outflows in the observed ULIRGs are able to expel the cold gas reservoirs from the centers of these objects within ~106-108 years.

Wavelet thresholding via a Bayesian approach

Abstract: We discuss a Bayesian formalism which gives rise to a type of wavelet threshold estimation in nonparametric regression. A prior distribution is imposed on the wavelet coefficients of the unknown response function, designed to capture the sparseness of wavelet expansion that is common to most applications. For the prior specified, the posterior median yields a thresholding procedure. Our prior model for the underlying function can be adjusted to give functions falling in any specific Besov space. We establish a relationship between the hyperparameters of the prior model and the parameters of those Besov spaces within which realizations from the prior will fall. Such a relationship gives insight into the meaning of the Besov space parameters. Moreover, the relationship established makes it possible in principle to incorporate prior knowledge about the function's regularity properties into the prior model for its wavelet coefficients. However, prior knowledge about a function's regularity properties might be difficult to elicit; with this in mind, we propose a standard choice of prior hyperparameters that works well in our examples. Several simulated examples are used to illustrate our method, and comparisons are made with other thresholding methods. We also present an application to a data set that was collected in an anaesthesiological study.