1,416 research outputs found
The ECB Monetary Policy and the Current Financial Crisis
Our paper presents estimates of Taylor type rules for the euro area using quarterly data for the period 2004(Q4) to 2008(Q3). Unlike other studies, we employ a real-time data set using the quarterly ECB staff projections on inflation and output growth. Estimated realtime rules are also compared with a more conventional specification whereby ex-post data are employed. Our results suggest that: (i) the ECB monetary policy strategy can be represented with a simple interest-rate rule; (ii) the ECB takes into account the quarterly ECB staff projections when deciding on its monetary policy stance; (iii) the accommodative behaviour of the ECB often cited in the literature is related to differences between real-time and ex-post data; and (iv) the estimated simple interest-rate rule continues to capture the ECB monetary policy strategy during the recent financial crisis. In light of the above, we can draw three important policy conclusions. First, the ECB has a stabilising role in the economy. Second, the ECB has become rather hawkish in its monetary policy decision making, responding more to projected changes in inflation than to projected changes in the output growth gap. Finally, the ECB’s response during the recent financial crisis of reducing its interest rate to 1.00% by the first half of 2009 and undertaking non-standard measures to provide support to the financial sector is shown to be equivalent to following a simple interest-rate rule based on its previous practices.Taylor type rules, ECB monetary policy, real-time data, financial crisis
The development and evolution of transactive memory system over time in MUVEs
CSCW in education is a topic that drew a lot of attention over the years, and Multi User Virtual Environments (MUVEs) are one of the tools utilized by many educators to support their teaching objectives. MUVEs enable students to connect, immerse and interact with their peers and the environment, and synchronously engage and collaborate in learning activities. Effective communication and collaboration contributes to student learning, and the topic of Transactive Memory System (TMS) within working groups has been found to
be very beneficial. TMS relates to the representation of the knowledge possessed by the members of a team that allows identifying who knows what, providing efficiency in collaboration. While the use of educational MUVEs has been thoroughly investigated in the literature, little is known about the use of such environments to support TMS and their relationship with working group dynamics. This paper presents the results of a study
investigating the development and evolution of a TMS between groups within a MUVE, in order to better understand the dynamics that need to be considered when using MUVEs to support teaching and learning
Cell entry mechanism of enzymatic bacterial colicins: Porin recruitment and the thermodynamics of receptor binding
Binding of enzymatic E colicins to the vitamin B-12 receptor, BtuB, is the first stage in a cascade of events that culminate in the translocation of the cytotoxic nuclease into the Escherichia coli cytoplasm and release of its tightly bound immunity protein. A dogma of colicin biology is that the toxin coiled-coil connecting its functional domains must unfold or unfurl to span the periplasm, with recent reports claiming this reaction is initiated by receptor binding. We report isothermal titration calorimetry data of BtuB binding the endonuclease toxin ColE9 and a disulfide form (CoIE9(S-S)) where unfolding of the coiled-coil is prevented and, as a consequence, the toxin is biologically inactive. Contrary to expectation, the thermodynamics of receptor binding, characterized by large negative values for T Delta S, are identical for the two colicins, arguing against any form of BtuB-induced unfolding. We go on to delineate key features of the "colicin translocon" that assembles at the cell surface after BtuB binding by using a complex of histidine-tagged Im9 bound to ColE9(S-S). First, we show that the porin OmpF is recruited directly to the BtuB-colicin complex to form the translocon. Second, recruitment is through the natively unfolded region of the colicin translocation domain, with this domain likely having two contact points for OmpF. Finally, the immunity protein is not released during its assembly. Our study demonstrates that although colicin unfolding is undoubtedly a prerequisite for E. coli cell death, it must occur after assembly of the translocon
Identification of the catalytic motif of the microbial ribosome inactivating cytotoxin colicin E3
Colicin E3 is a cytotoxic ribonuclease that specifically cleaves 16S rRNA at the ribosomal A-site to abolish protein synthesis in sensitive Escherichia coli cells. We have performed extensive mutagenesis of the 96-residue colicin E3 cytotoxic domain (E3 rRNase), assayed mutant colicins for in vivo cytotoxicity, and tested the corresponding E3 rRNase domains for their ability to inactivate ribosome function in vitro. From 21 alanine mutants, we identified five positions where mutation resulted in a colicin with no measurable cytotoxicity (Y52, D55, H58, E62, and Y64) and four positions (R40, R42, E60, and R90) where mutation caused a significant reduction in cytotoxicity. Mutations that were found to have large in vivo and in vitro effects were tested for structural integrity through circular dichroism and fluorescence spectroscopy using purified rRNase domains. Our data indicate that H58 and E62 likely act as the acid–base pair during catalysis with other residues likely involved in transition state stabilization. Both the Y52 and Y64 mutants were found to be highly destabilized and this is the likely origin of the loss of their cytotoxicity. The identification of important active site residues and sequence alignments of known rRNase homologs has allowed us to identify other proteins containing the putative rRNase active site motif. Proteins that contained this active site motif included three hemagglutinin-type adhesins and we speculate that these have evolved to deliver a cytotoxic rRNase into eukaryotic cells during pathogenesis
Comprehensive characterization of an open source document search engine
This work performs a thorough characterization and analysis of the open source Lucene search library. The article describes in detail the architecture, functionality, and micro-architectural behavior of the search engine, and investigates prominent online document search research issues. In particular, we study how intra-server index partitioning affects the response time and throughput, explore the potential use of low power servers for document search, and examine the sources of performance degradation ands the causes of tail latencies. Some of our main conclusions are the following: (a) intra-server index partitioning can reduce tail latencies but with diminishing benefits as incoming query traffic increases, (b) low power servers given enough partitioning can provide same average and tail response times as conventional high performance servers, (c) index search is a CPU-intensive cache-friendly application, and (d) C-states are the main culprits for performance degradation in document search.Web of Science162art. no. 1
Adaptive notifications to support knowledge sharing in virtual communities
Social web-groups where people with common interests and goals communicate, share resources, and construct knowledge, are becoming a major part of today’s organisational practice. Research has shown that appropriate support for effective knowledge sharing tailored to the needs of the community is paramount. This brings a new challenge to user modelling and adaptation, which requires new techniques for gaining sufficient understanding of a virtual community (VC) and identifying areas where the community may need support. The research presented here addresses this challenge presenting a novel computational approach for community-tailored support underpinned by organisational psychology and aimed at facilitating the functioning of the community as a whole (i.e. as an entity). A framework describing how key community processes—transactive memory (TM), shared mental models (SMMs), and cognitive centrality (CCen)—can be utilised to derive knowledge sharing patterns from community log data is described. The framework includes two parts: (i) extraction of a community model that represents the community based on the key processes identified and (ii) identification of knowledge sharing behaviour patterns that are used to generate adaptive notifications. Although the notifications target individual members, they aim to influence individuals’ behaviour in a way that can benefit the functioning of the community as a whole. A validation study has been performed to examine the effect of community-adapted notifications on individual members and on the community as a whole using a close-knit community of researchers sharing references. The study shows that notification messages can improve members’ awareness and perception of how they relate to other members in the community. Interesting observations have been made about the linking between the physical and the VC, and how this may influence members’ awareness and knowledge sharing behaviour. Broader implications for using log data to derive community models based on key community processes and generating community-adapted notifications are discussed
Dry and wet interfaces: Influence of solvent particles on molecular recognition
We present a coarse-grained lattice model to study the influence of water on
the recognition process of two rigid proteins. The basic model is formulated in
terms of the hydrophobic effect. We then investigate several modifications of
our basic model showing that the selectivity of the recognition process can be
enhanced by considering the explicit influence of single solvent particles.
When the number of cavities at the interface of a protein-protein complex is
fixed as an intrinsic geometric constraint, there typically exists a
characteristic fraction that should be filled with water molecules such that
the selectivity exhibits a maximum. In addition the optimum fraction depends on
the hydrophobicity of the interface so that one has to distinguish between dry
and wet interfaces.Comment: 11 pages, 7 figure
The effect of short-term changes in air pollution on respiratory and cardiovascular morbidity in Nicosia, Cyprus.
Presented at the 6th International Conference on Urban Air Quality, Limassol, March, 2007. Short-paper was submitted for peer-review and appears in proceedings of the conference.This study investigates the effect of daily changes in levels of PM10 on the daily volume of respiratory and cardiovascular
admissions in Nicosia, Cyprus during 1995-2004. After controlling for long- (year and month) and short-term (day of the
week) patterns as well as the effect of weather in Generalized Additive Poisson models, some positive associations were
observed with all-cause and cause-specific admissions. Risk of hospitalization increased stepwise across quartiles of days with
increasing levels of PM10 by 1.3% (-0.3, 2.8), 4.9% (3.3, 6.6), 5.6% (3.9, 7.3) as compared to days with the lowest
concentrations. For every 10μg/m3 increase in daily average PM10 concentration, there was a 1.2% (-0.1%, 2.4%) increase in
cardiovascular admissions. With respects to respiratory admissions, an effect was observed only in the warm season with a
1.8% (-0.22, 3.85) increase in admissions per 10μg/m3 increase in PM10. The effect on respiratory admissions seemed to be
much stronger in women and, surprisingly, restricted to people of adult age
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