157 research outputs found
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Principles of Laser Micro Sintering
Laser Micro Sintering was introduced to the international community of freeform fabrication
engineers in 2003 and has since been employed for a variety of applications. It owes its unique
features to certain effects of q-switched pulses that formerly had been considered detrimental in
selective laser sintering. Besides sub-micrometer sized powders also materials with grain sizes
of 1-10 micrometers can be sintered. Surface and morphology of the product are influenced by
grain size and process environment. First results have been achieved with processing ceramic
materials.
A comprehensive overview of the process and the features is given supported by
experimental evidence. Routes of further development are indicated.Mechanical Engineerin
Two-State Migration of DNA in a structured Microchannel
DNA migration in topologically structured microchannels with periodic
cavities is investigated experimentally and with Brownian dynamics simulations
of a simple bead-spring model. The results are in very good agreement with one
another. In particular, the experimentally observed migration order of Lambda-
and T2-DNA molecules is reproduced by the simulations. The simulation data
indicate that the mobility may depend on the chain length in a nonmonotonic way
at high electric fields. This is found to be the signature of a nonequilibrium
phase transition between two different migration states, a slow one and a fast
one, which can also be observed experimentally under appropriate conditions.Comment: Revised edition corresponding to the comments by the referees,
submitted to Physical Review
Ab-initio crystal structure analysis and refinement approaches of oligo p-benzamides based on electron diffraction data
Ab-initio crystal structure analysis of organic materials from electron diffraction data is presented. The data were collected using the automated electron diffraction tomography (ADT) technique. The structure solution and refinement route is first validated on the basis of the known crystal structure of tri-p-benzamide. The same procedure is then applied to solve the previously unknown crystal structure of tetra-p-benzamide. In the crystal structure of tetra-p-benzamide, an unusual hydrogen-bonding scheme is realised; the hydrogen-bonding scheme is, however, in perfect agreement with solid-state NMR data
Computational polymorph screening reveals late-appearing and poorly-soluble form of rotigotine
The active pharmaceutical ingredient rotigotine—a dopamine agonist for the treatment of Parkinson’s and restless leg diseases—was known to exist in only one polymorphic form since 1985. In 2008, the appearance of a thermodynamically more stable and significantly less soluble polymorph led to a massive batch recall followed by economic and public health implications. Here, we carry out state-of-the-art computational crystal structure prediction, revealing the late-appearing polymorph without using any prior information. In addition, we predict a third crystalline form of rotigotine having thermodynamic stability between forms I and II. We provide quantitative description of the relative stability and solubility of the rotigotine polymorphs. Our study offers new insights into a challenging polymorphic system and highlights the robustness of contemporary computational crystal structure prediction during pharmaceutical development
Moral economy versus political economy: provincializing Polanyi
This theoretically focused chapter by John Holmwood adopts a strategy of conceptual ‘provincializing’ and thereby reveals race as a lacuna in Polanyian and neo-Polanyian scholarship. Alongside its wide-ranging theoretical engagement, including innovative postcolonial reflections, Holmwood’s discussion is extraordinarily timely, engaging with US ‘race relations’ and the current ‘asylum crisis’ in large parts of Europe, as well as with wider currents of marketization. Racism is thereby analysed in both its deeper historical and current socioeconomic contexts
Identification of rare loss-of-function genetic variation regulating body fat distribution
This is the final version. Available on open access from Oxford University Press via the DOI in this recordData Availability:
This research was conducted using the UK Biobank resource (application Nos. 44448 and 9905). Access to the UK Biobank genotype and phenotype data is open to all approved health researchers (http://www.ukbiobank.ac.uk/).CONTEXT: Biological and translational insights from large-scale, array-based genetic studies of fat distribution, a key determinant of metabolic health, have been limited by the difficulty in linking predominantly non-coding variants to specific gene targets. Rare coding variant analyses provide greater confidence that a specific gene is involved, but do not necessarily indicate whether gain or loss-of-function (LoF) would be of most therapeutic benefit. OBJECTIVE, DESIGN AND SETTING: To identify genes/proteins involved in determining fat distribution, we combined the power of genome-wide analysis of array-based rare, non-synonymous variants in 450,562 individuals of UK Biobank with exome-sequence-based rare loss of function gene burden testing in 184,246 individuals. RESULTS: The data indicates that loss-of-function of four genes (PLIN1 [LoF variants, p=5.86×10 -7], INSR [LoF variants, p=6.21×10 -7], ACVR1C [LoF + Moderate impact variants, p=1.68×10 -7; Moderate impact variants, p=4.57×10 -7] and PDE3B [LoF variants, p=1.41×10 -6]) is associated with a beneficial impact on WHRadjBMI and increased gluteofemoral fat mass, whereas LoF of PLIN4 [LoF variants, p=5.86×10 -7] adversely affects these parameters. Phenotypic follow-up suggests that LoF of PLIN1, PDE3B and ACVR1C favourably affects metabolic phenotypes (e.g. triglyceride [TG] and HDL cholesterol concentrations) and reduces the risk of cardiovascular disease, whereas PLIN4 LoF has adverse health consequences. INSR LoF is associated with lower TG and HDL levels but may increase the risk of type 2 diabetes. CONCLUSION: This study robustly implicates these genes in the regulation of fat distribution, providing new and in some cases somewhat counter-intuitive insight into the potential consequences of targeting these molecules therapeutically.Medical Research Council (MRC)National Institute for Health Research (NIHR)Wellcome TrustResearch Englan
Why nurses should be Marxists
The argument that nurses should be Marxists is made by looking at the primary areas of nursing activity in turn, giving an example of how capitalist economic relations negatively impact upon that activity, and providing a Marxist explanation of the reasons why it has that impact. In relation to the nursing activity of health promotion, it is argued that capitalism's generation of social inequality undermines the health of the population. In relation to curative activities, the focus is on how capitalism's reckless pursuit of profit has subverted the sustainability of bactericidal interventions. The argument in relation to comforting and assistive care is that the ownership and control of health services by capitalist corporations undermines therapeutic relationships. Finally, in relation to supportive care, it is contended that capitalism's requirement for a disciplined workforce can compromise healthcare professionals' support of employees. It is concluded that if nurses aspire to have some control over their activities, then it is a good idea for them to avail of Marxism's capacity to identify the socio-economic mechanisms by which capitalism affects nursing care
A simple model for metal cation-phosphate interactions in nucleic acids in the gas phase: Alkali metal cations and trimethyl phosphate
The Amorphous Form of Salicylsalicylic Acid: Experimental Characterization and Computational Predictability
Towards crystal structure prediction of complex organic compounds - a report on the fifth blind test
Following on from the success of the previous crystal structure prediction blind tests (CSP1999, CSP2001, CSP2004 and CSP2007), a fifth such collaborative project (CSP2010) was organized at the Cambridge Crystallographic Data Centre. A range of methodologies was used by the participating groups in order to evaluate the ability of the current computational methods to predict the crystal structures of the six organic molecules chosen as targets for this blind test. The first four targets, two rigid molecules, one semi-flexible molecule and a 1: 1 salt, matched the criteria for the targets from CSP2007, while the last two targets belonged to two new challenging categories - a larger, much more flexible molecule and a hydrate with more than one polymorph. Each group submitted three predictions for each target it attempted. There was at least one successful prediction for each target, and two groups were able to successfully predict the structure of the large flexible molecule as their first place submission. The results show that while not as many groups successfully predicted the structures of the three smallest molecules as in CSP2007, there is now evidence that methodologies such as dispersion-corrected density functional theory (DFT-D) are able to reliably do so. The results also highlight the many challenges posed by more complex systems and show that there are still issues to be overcome
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