University of Haifa

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.

The politics of liberalisation: Privatisation and regulation-for-competition in Europe's and Latin America's telecoms and electricity industries

Abstract: . This article sheds some light on the interaction between politics and learning in the diffusion of liberalisation. It does so by specifying the conditions and ways in which politics and learning interact and thus sustain cross-national and cross-sectoral variations in the spread of liberalisation. The process of liberalisation is analysed against data from 32 European and Latin American countries and two sectors. The indicators employed cover the issue of privatisation as well as regulatory reform. An analytical framework is presented that, for the first time, allows a systematic quantitative examination of the contrasting predictions of the Policy Sector Approach (PSA) and the National Patterns Approach (NPA). Four different combinations of variations and similarities across sectors and nations are identified and explained. These explanations are grounded in actor-centred historical institutionalism. The empirical evidence points to the failure of Latin America to become ‘European’ despite the appearance of sweeping and comprehensive liberalisation. In addition, the article demonstrates how rational actors act in different institutional environments while accommodating the process of learning to their advantage, and how their actions are constrained by different historical legacies of state formation and varied levels of risks and rewards inherent in different sectors.

Spelling as a self‐teaching mechanism in orthographic learning

Abstract: The present study examined the possibility that spelling fulfils a self-teaching function in the acquisition of orthographic knowledge because, like decoding, it requires close attention to letter order and identity as well as to word-specific spelling–sound mapping We hypothesised that: (i) spelling would lead to significant (ie above-chance) levels of orthographic learning; (ii) spelling would actually result in superior learning relative to reading owing to the additional processing demands invoked when spelling; (iii) there would be stronger outcomes for post-test spelling production compared with spelling recognition; and (iv) relative to reading, spelling would produce superior orthographic learning in the case of later-occurring orthographic detail compared with information appearing earlier in the letter string In a fully within-subjects design, third grade Hebrew readers were exposed to novel letter strings presented in three conditions: spelling, reading and an unseen control condition With the exception of the position by condition interaction (our fourth hypothesis), which, although in the expected direction, failed to attain significance, all hypotheses were supported These data highlight yet another dimension of reading–writing reciprocity by suggesting that spelling offers a powerful self-teaching tool in the compilation of word-specific orthographic representations

Theory and Inference for a Markov Switching GARCH Model

Abstract: We develop a Markov-switching GARCH model (MS-GARCH) wherein the conditional mean and variance switch in time from one GARCH process to another. The switching is governed by a hidden Markov chain. We provide sufficient conditions for geometric ergodicity and existence of moments of the process. Because of path dependence, maximum likelihood estimation is not feasible. By enlarging the parameter space to include the state variables, Bayesian estimation using a Gibbs sampling algorithm is feasible. We illustrate the model on S&P500 daily returns.

Changes in Gene Expression during Pegylated Interferon and Ribavirin Therapy of Chronic Hepatitis C Virus Distinguish Responders from Nonresponders to Antiviral Therapy

Abstract: Treating chronic hepatitis C virus (HCV) infection using pegylated alpha interferon and ribavirin leads to sustained clearance of virus and clinical improvement in approximately 50% of patients. Response rates are lower among patients with genotype 1 than with genotypes 2 and 3 and among African-American (AA) patients compared to Caucasian (CA) patients. Using DNA microarrays, gene expression was assessed for a group of 33 African-American and 36 Caucasian American patients with chronic HCV genotype 1 infection during the first 28 days of treatment. Results were examined with respect to treatment responses and to race. Patients showed a response to treatment at the gene expression level in RNA isolated from peripheral blood mononuclear cells irrespective of degree of decrease in HCV RNA levels. However, gene expression responses were relatively blunted in patients with poor viral response ( 3.5 log(10)-IU/ml decrease) or intermediate (1.5 to 3.5 log(10)-IU/ml decrease) response. The number of genes that were up- or down-regulated by pegylated interferon and ribavirin treatment was fewer in patients with a poor response than in those with an intermediate or marked viral response. However AA patients had a stronger interferon response than CA patients in general. The induced levels of known interferon-stimulated genes such as the 2'5'-oligoadenylate synthetase, MX1, IRF-7, and toll-like receptor TLR-7 genes was lower in poor-response patients than in marked- or intermediate-response patients. Thus, the relative lack of viral response to interferon therapy of hepatitis C virus infection is associated with blunted interferon cell signaling. No specific regulatory gene could be identified as responsible for this global blunting or the racial differences.