298 research outputs found
A review of the nature, role and control of lithobionts on stone cultural heritage: weighing-up and managing biodeterioration and bioprotection
Comparability of non-destructive moisture measurement techniques on masonry during simulated wetting
Detecting the presence of moisture in historical masonry is essential to understanding how a
structure interacts with the environment, and diagnosing the potential for damage from a
range of physical, chemical, and biological processes. In-situ, non-invasive diagnostic
techniques have been developed in preference to methods that require irreversible
modifications to a structure. These techniques include: electrical resistivity, microwaves,
and infrared thermography. Independently, these approaches provide limited snapshots of
surficial and internal moisture regimes; this project sought to assess the comparability of
multiple techniques. Simulated post-rain spell drying was monitored over 48 h on limestone
and sandstone monoliths in a controlled laboratory environment and also in ambient
conditions on purpose-built masonry located in Oxfordshire, UK. Repeat measurements
were taken using electrical resistance tomography (ERT), electrical and microwave
moisture meters, and infrared thermography. Three aspects of comparability are discussed:
i) data transformations and geological comparability, ii) depth-resolving meter readings, iii)
the localised benefits of employing multiple technologies and instruments
The influence of structural organization of epilithic and endolithic lichens on limestone weathering
Hyphal penetration, mineral dissolution and neoformation at the lichen–rock interface have been widely characterized by microscopic and spectroscopic studies, and considered as proxies of lichen deterioration of stone substrates. However, these phenomena have not been clearly related to experimental data on physical properties related to stone durability, and the physical consequences of lichen removal from stone surfaces have also been overlooked. In this study, we combine microscopic and spectroscopic characterization of the structural organization of epi- and endolithic lichens (Caloplaca marina (Wedd.) Du Rietz, Caloplaca ochracea (Schaer.) Flagey, Bagliettoa baldensis (A.Massal.) Vězda, Porina linearis (Leight.) Zahlbr., Verrucaria nigrescens Pers.) at the interface with limestones of interest for Cultural Heritage (Portland Limestone, Botticino Limestone), with analysis of rock properties (water absorption, surface hardness) relevant for durability, before and after the removal or scraping of lichen thalli. Observations using reflected-light and electron microscopy, and Raman analyses, showed lichen–limestone stratified interfaces, differing in the presence/absence and depth of lichen anatomical layers (lithocortex, photobiont layer, pervasive and sparse hyphal penetration component) depending on species and lithology. Specific structural organizations of lichen–rock interface were found to be associated with differential patterns of water absorption increase, evaluated by Karsten tube, in comparison with surfaces with microbial biofilms only, even more pronounced after the removal or scraping of the upper structural layers. Equotip measurements on surfaces bearing intact thalli showed lower hardness in comparison with control surfaces. By contrast, after the removal or scraping procedures, Equotip values were similar to or higher than those of controls, suggesting that the increasing open porosity may be related to a biogenic hardening process. Such counterposed patterns of porosity increase and hardening need to be considered when models relating lichen occurrence on limestones and biogeomorphological surface evolution are proposed, and to evaluate the consequences of lichen removal from stone-built cultural heritage
The cellular prion protein traps Alzheimer's A beta in an oligomeric form and disassembles amyloid fibers
This work was supported by a Wellcome Trust project grant (093241/Z/10/Z) and UK Biotechnology and Biological Sciences Research Council Quota studentships.
The authors thank Harold Toms (Queen Mary, University of London) and the UK National Institute for Medical Research for NMR support, and Graham McPhail for assistance with TEM
Bullet impacts and built heritage damage 1640–1939
© 2018, The Author(s). Conflict damage to heritage has been thrust into the global spotlight during recent conflict in the Middle East. While the use of social media has heightened and enhanced public awareness of this ‘cultural terrorism’, the occurrence of this type of vandalism is not new. In fact, as this study demonstrates, evidence of the active targeting of sites, as well as collateral damage when heritage is caught in crossfire, is widely visible around Europe and further afield. Using a variety of case studies ranging from the 1640s to the 1930s, we illustrate and quantify the changing impact of ballistics on heritage buildings as weaponry and ammunition have increased in both energy and energy density potential. In the first instance, this study highlights the increasing threats to heritage in conflict areas. Second, it argues for the pressing need to quantify and map damage to the stonework in order to respond to these challenges
Calorimetric Investigation of Copper Binding in the N-Terminal Region of the Prion Protein at Low Copper Loading: Evidence for an Entropically Favorable First Binding Event
Although
the Cu<sup>2+</sup>-binding sites of the prion protein have been well
studied when the protein is fully saturated by Cu<sup>2+</sup>, the
Cu<sup>2+</sup>-loading mechanism is just beginning to come into view.
Because the Cu<sup>2+</sup>-binding modes at low and intermediate
Cu<sup>2+</sup> occupancy necessarily represent the highest-affinity
binding modes, these are very likely populated under physiological
conditions, and it is thus essential to characterize them in order
to understand better the biological function of copper–prion
interactions. Besides binding-affinity data, almost no other thermodynamic
parameters (e.g., Δ<i>H</i> and Δ<i>S</i>) have been measured, thus leaving undetermined the enthalpic and
entropic factors that govern the free energy of Cu<sup>2+</sup> binding
to the prion protein. In this study, isothermal titration calorimetry
(ITC) was used to quantify the thermodynamic parameters (<i>K</i>, Δ<i>G</i>, Δ<i>H</i>, and <i>T</i>Δ<i>S</i>) of Cu<sup>2+</sup> binding to
a peptide, PrPÂ(23–28, 57–98), that encompasses the majority
of the residues implicated in Cu<sup>2+</sup> binding by full-length
PrP. Use of the buffer <i>N</i>-(2-acetomido)-aminoethanesulfonic
acid (ACES), which is also a well-characterized Cu<sup>2+</sup> chelator,
allowed for the isolation of the two highest affinity binding events.
Circular dichroism spectroscopy was used to characterize the different
binding modes as a function of added Cu<sup>2+</sup>. The <i>K</i><sub>d</sub> values determined by ITC, 7 and 380 nM, are
well in line with those reported by others. The first binding event
benefits significantly from a positive entropy, whereas the second
binding event is enthalpically driven. The thermodynamic values associated
with Cu<sup>2+</sup> binding by the Aβ peptide, which is implicated
in Alzheimer’s disease, bear striking parallels to those found
here for the prion protein
Coupling of CFD and semiempirical methods for designing three-phase condensate separator: case study and experimental validation
This study presents an approach to determine the dimensions of three-phase separators. First, we designed different vessel configurations based on the fluid properties of an Iranian gas condensate field. We then used a comprehensive computational fluid dynamic (CFD) method for analyzing the three-phase separation phenomena. For simulation purposes, the combined volume of fluid–discrete particle method (DPM) approach was used. The discrete random walk (DRW) model was used to include the effect of arbitrary particle movement due to variations caused by turbulence. In addition, the comparison of experimental and simulated results was generated using different turbulence models, i.e., standard k–ε, standard k–ω, and Reynolds stress model. The results of numerical calculations in terms of fluid profiles, separation performance and DPM particle behavior were used to choose the optimum vessel configuration. No difference between the dimensions of the optimum vessel and the existing separator was found. Also, simulation data were compared with experimental data pertaining to a similar existing separator. A reasonable agreement between the results of numerical calculation and experimental data was observed. These results showed that the used CFD model is well capable of investigating the performance of a three-phase separator
Weighted gene coexpression network analysis strategies applied to mouse weight
Systems-oriented genetic approaches that incorporate gene expression and genotype data are valuable in the quest for genetic regulatory loci underlying complex traits. Gene coexpression network analysis lends itself to identification of entire groups of differentially regulated genes—a highly relevant endeavor in finding the underpinnings of complex traits that are, by definition, polygenic in nature. Here we describe one such approach based on liver gene expression and genotype data from an F2 mouse intercross utilizing weighted gene coexpression network analysis (WGCNA) of gene expression data to identify physiologically relevant modules. We describe two strategies: single-network analysis and differential network analysis. Single-network analysis reveals the presence of a physiologically interesting module that can be found in two distinct mouse crosses. Module quantitative trait loci (mQTLs) that perturb this module were discovered. In addition, we report a list of genetic drivers for this module. Differential network analysis reveals differences in connectivity and module structure between two networks based on the liver expression data of lean and obese mice. Functional annotation of these genes suggests a biological pathway involving epidermal growth factor (EGF). Our results demonstrate the utility of WGCNA in identifying genetic drivers and in finding genetic pathways represented by gene modules. These examples provide evidence that integration of network properties may well help chart the path across the gene–trait chasm
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