The political ramifications of hosting mega-events are huge. In this article, we investigate the relationships among corruption, transparency, knowledge, and public trust using data collected from 3786 Brazilians in the context of the 2014 FIFA World Cup Games. Findings from the structural equation modeling indicate that public trust in government is determined by the respondents’ perceptions of corruption and transparency and their level of knowledge about the roles of government and the local organizing committee in the mega-event. The respondents’ level of trust in the local organizing committee also exerts an influence on their trust in the government. The implications of the findings for governments planning to host mega-events in the future are discussed. This research makes an important contribution to the literature, being the first study to test a theoretical model that analyses the relationships between corruption, transparency, knowledge, and public trust in the context of a mega-sport event.
Approximately two-thirds of patients with chronic inflammatory demyelinating polyneuropathy (CIDP) need long-term intravenous immunoglobulin. Subcutaneous immunoglobulin (SCIg) is an alternative option for immunoglobulin delivery, but has not previously been investigated in a large trial of CIDP. The PATH study compared relapse rates in patients given SCIg versus placebo.
Little is known about the incidence of severe critical events in children undergoing general anaesthesia in Europe. We aimed to identify the incidence, nature, and outcome of severe critical events in children undergoing anaesthesia, and the associated potential risk factors.
K. M. Kemner, M. Hereld, N. Scherer, A. Selewa, X. Wang, I. Gdor, M. Daddysman, J. Jureller, T. Huynh, O. Cossairt, A. Katsaggelos, K. He, S. Yoo, N. Matsuda, B. Glick, P. La Riviere, J. Austin, K. Day, T. Chandler, S. Papanikou, N. Ferrier, D. Sholto-Douglas, D. Gursoy, O. Antipova, C. Soriano, S. O’Brien, R. Wilton, A. Ahrendt, M. Asplund, S. Zerbs, P. Noirot, C. Atkins, G. Babnigg, J. Johnson, S. Shinde, P. Korajczyk, M. F. Noirot
To signal, Ras isoforms must be enriched at the plasma membrane (PM). It was suggested that phosphodiesterase-δ (PDEδ) can bind and shuttle some farnesylated Ras isoforms to the PM, but not all. Among these, interest focused on K-Ras4B, the most abundant oncogenic Ras isoform. To study PDEδ/Ras interactions, we modeled and simulated the PDEδ/K-Ras4B complex. We obtained structures, which were similar to two subsequently determined crystal structures. We next modeled and simulated complexes of PDEδ with the farnesylated hypervariable regions of K-Ras4A and N-Ras. Earlier data suggested that PDEδ extracts K-Ras4B and N-Ras from the PM, but surprisingly not K-Ras4A. Earlier analysis of the crystal structures advanced that the presence of large/charged residues adjacent to the farnesylated site precludes the PDEδ interaction. Here, we show that PDEδ can bind to farnesylated K-Ras4A and N-Ras like K-Ras4B, albeit not as strongly. This weaker binding, coupled with the stronger anchoring of K-Ras4A in the membrane (but not of electrostatically neutral N-Ras), can explain the observation why PDEδ is unable to effectively extract K-Ras4A. We thus propose that farnesylated Ras isoforms can bind PDEδ to fulfill the required PM enrichment, and argue that the different environments, PM versus solution, can resolve apparently puzzling Ras observations. These are novel insights that would not be expected based on the crystal structures alone, which provide an elegant rationale for previously puzzling observations of the differential effects of PDEδ on farnesylated Ras family proteins.
A profoundly fundamental question at the interface between physics and biology remains open: what are the minimum requirements for emergence of complex behaviour from nonliving systems? Here, we address this question and report complex behaviour of tens to thousands of colloidal nanoparticles in a system designed to be as plain as possible: the system is driven far from equilibrium by ultrafast laser pulses that create spatiotemporal temperature gradients, inducing Marangoni flow that drags particles towards aggregation; strong Brownian motion, used as source of fluctuations, opposes aggregation. Nonlinear feedback mechanisms naturally arise between flow, aggregate and Brownian motion, allowing fast external control with minimal intervention. Consequently, complex behaviour, analogous to those seen in living organisms, emerges, whereby aggregates can self-sustain, self-regulate, self-replicate, self-heal and can be transferred from one location to another, all within seconds. Aggregates can comprise only one pattern or bifurcated patterns can coexist, compete, endure or perish.
Traditional Protein-Protein Interaction (PPI) networks, which use a node and edge representation, lack some valuable information about the mechanistic details of biological processes. Mapping protein structures to these PPI networks not only provides structural details of each interaction but also helps us to find the mutual exclusive interactions. Yet it is not a comprehensive representation as it neglects the conformational changes of proteins which may lead to different interactions, functions, and downstream signalling. In this study, we proposed a new representation for structural PPI networks inspecting the alternative conformations of proteins. We performed a large-scale study by creating breast cancer metastasis network and equipped it with different conformers of proteins. Our results showed that although 88% of proteins in our network has at least two structures in Protein Data Bank (PDB), only 22% of them have alternative conformations and the remaining proteins have different regions saved in PDB. However, using even this small set of alternative conformations we observed a considerable increase in our protein docking predictions. Our protein-protein interaction predictions increased from 54% to 76% using the alternative conformations. We also showed the benefits of investigating structural data and alternative conformations of proteins through three case studies.
As x-ray and electron tomography is pushed further into the nanoscale, the limitations of rotation stages become more apparent, leading to challenges in the alignment of the acquired projection images. Here we present an approach for rapid post-acquisition alignment of these projections to obtain high quality three-dimensional images. Our approach is based on a joint estimation of alignment errors, and the object, using an iterative refinement procedure. With simulated data where we know the alignment error of each projection image, our approach shows a residual alignment error that is a factor of a thousand smaller, and it reaches the same error level in the reconstructed image in less than half the number of iterations. We then show its application to experimental data in x-ray and electron nanotomography.