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Electric interactions: A study of cellulose

Detta arbete har haft som målsättning att fördjupa vår kunskap om cellulosa och hur denna polymer reagerar i olika miljöer. Cellulosa är det vanligaste organiska materialet på jorden vilket gör att det är relativt lätttillgängligt, billigt, och miljövänligt. Genom att öka vår förståelse av de egenskaper som cellulosa besitter kan det bli möjligt att utveckla nya användningsområden, men också kvaliThis work is primary about development and application of electrostatic theory within the atomistic domain. The resulting procedures were implemented to eventually describe systems involving the cellulose molecule. A concluding remark about electrostatic interactions is the importance of moment cancellation. By inducing image moments which cancels the totality of the collective system moments, and

Development of Novel Diffusion NMR Methods : Preclinical Applications in Colloidal Model Systems

Kärnmagnetisk resonans, NMR, är en teknik som har många användningsområden, inte minst används NMR som en bildgivande teknik för diagnostisering av skador och sjuk- domar, vilket görs med så kallade MR-kameror. Med hjälp av diffusions-NMR kan man mäta vattenmolekylers rörelse, d.v.s. vattnets diffusion. Diffusions-NMR gör det möjligt att mäta hur långt vattenmolekylerna rör sig i olika riktningar.NMR is a powerful non-invasive technique utilizing radiofrequency and gradient pulses to manipulate the spinsof atomic nuclei. In particular, diffusion NMR uses strong magnetic field gradients to label the positions of spins allowing for the measurement of translational motion of molecules in liquids. The average displacement of water molecules can give information on the pore microstructure in va

Efficient simulations of tubulin-driven axonal growth

This work concerns efficient and reliable numerical simulations of the dynamic behaviour of a moving-boundary model for tubulin-driven axonal growth. The model is nonlinear and consists of a coupled set of a partial differential equation (PDE) and two ordinary differential equations. The PDE is defined on a computational domain with a moving boundary, which is part of the solution. Numerical simul

Stress-induced ST elevation with or without concomitant ST depression is predictive of presence, location and amount of myocardial ischemia assessed by myocardial perfusion SPECT, whereas isolated stress-induced ST depression is not

BACKGROUND: Evaluation of stress-induced ST deviations constitutes a central part when interpreting the findings from an exercise test. The aim of this analysis was to assess the pathophysiologic correlate of stress-induced ST elevation and ST depression with regard to presence, amount and location of myocardial ischemia as assessed by myocardial perfusion SPECT (MPS) in patients with suspected co

Factors contributing to the perpetration of workplace incivility: the importance of organizational aspects and experiencing incivility from others

In recent years a growing amount of research has been conducted in the area of workplace incivility. Whereas many studies have focused on the victims and the consequences of incivility, little attention has been paid to the perpetrators and antecedents of workplace incivility. This study aims to identify possible antecedents of workplace incivility, by investigating organizational aspects as well In recent years a growing amount of research has been conductedin the area of workplace incivility. Whereas many studies havefocused on the victims and the consequences of incivility, littleattention has been paid to the perpetrators and antecedents ofworkplace incivility. This study aims to identify possibleantecedents of workplace incivility, by investigating organizationalaspects as well as the

Clinical framework for next generation sequencing based analysis of treatment predictive mutations and multiplexed gene fusion detection in non-small cell lung cancer

Precision medicine requires accurate multi-gene clinical diagnostics. We describe the implementation of an Illumina TruSight Tumor (TST) clinical NGS diagnostic framework and parallel validation of a NanoString RNA-based ALK, RET, and ROS1 gene fusion assay for combined analysis of treatment predictive alterations in non-small cell lung cancer (NSCLC) in a regional healthcare region of Sweden (Sca

Seasonal pattern of climate vulnerability and adaptation in the Lake Victoria basin – Identifying needs and opportunities using a multi-stakeholder approach. The American Association for the Advancement of Science, Annual Conference, San Diego

Important factors behind high levels of vulnerability and low adaptive capacity to climate variability and change in the developing world are direct reliance on natural resources, poverty and limited abilities to adapt financially and institutionally. In this study, focusing on the Lake Victoria Basin, a multitude of stressors on livelihoods, including climate related factors, are faced by the rur

Automated pathway and reaction prediction facilitates in silico identification of unknown metabolites in human cohort studies

Identification of metabolites in non-targeted metabolomics continues to be a bottleneck in metabolomics studies in large human cohorts. Unidentified metabolites frequently emerge in the results of association studies linking metabolite levels to, for example, clinical phenotypes. For further analyses these unknown metabolites must be identified. Current approaches utilize chemical information, suc

Adaptive sequence evolution is driven by biotic stress in a pair of orchid species (Dactylorhiza) with distinct ecological optima

The orchid family is the largest in the angiosperms, but little is known about the molecular basis of the significant variation they exhibit. We investigate here the transcriptomic divergence between two European terrestrial orchids, Dactylorhiza incarnata and Dactylorhiza fuchsii, and integrate these results in the context of their distinct ecologies that we also document. Clear signals of lineag

Intermediate and advanced topics in multilevel logistic regression analysis

Multilevel data occur frequently in health services, population and public health, and epidemiologic research. In such research, binary outcomes are common. Multilevel logistic regression models allow one to account for the clustering of subjects within clusters of higher-level units when estimating the effect of subject and cluster characteristics on subject outcomes. A search of the PubMed datab

From Permeation to Cluster Arrays : Graphene on Ir(111) Exposed to Carbon Vapor

Our scanning tunneling microscopy and X-ray photoelectron spectroscopy experiments along with first-principles calculations uncover the rich phenomenology and enable a coherent understanding of carbon vapor interaction with graphene on Ir(111). At high temperatures, carbon vapor not only permeates to the metal surface but also densifies the graphene cover. Thereby, in addition to underlayer graphe