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| 2. |
- Acharya, B. S., et al.
(författare)
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Introducing the CTA concept
- 2013
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Ingår i: Astroparticle physics. - : Elsevier BV. - 0927-6505 .- 1873-2852. ; 43, s. 3-18
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- The Cherenkov Telescope Array (CTA) is a new observatory for very high-energy (VHE) gamma rays. CTA has ambitions science goals, for which it is necessary to achieve full-sky coverage, to improve the sensitivity by about an order of magnitude, to span about four decades of energy, from a few tens of GeV to above 100 TeV with enhanced angular and energy resolutions over existing VHE gamma-ray observatories. An international collaboration has formed with more than 1000 members from 27 countries in Europe, Asia, Africa and North and South America. In 2010 the CTA Consortium completed a Design Study and started a three-year Preparatory Phase which leads to production readiness of CTA in 2014. In this paper we introduce the science goals and the concept of CTA, and provide an overview of the project. (C) 2013 Elsevier B.V. All rights reserved.
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| 3. |
- Keuenhof, Katharina, 1994, et al.
(författare)
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Multimodality imaging beyond CLEM: Showcases of combined in-vivo preclinical imaging and ex-vivo microscopy to detect murine mural vascular lesions
- 2021
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Ingår i: Methods in Cell Biology. - : Elsevier. - 0091-679X. ; , s. 389-415
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Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- In imaging, penetration depth comes at the expense of lateral resolution, which restricts the scope of 3D in-vivo imaging of small animals at micrometer resolution. Bioimaging will need to expand beyond correlative light and electron microscopy (CLEM) approaches to combine insights about in-vivo dynamics in a physiologically relevant 3D environment with ex-vivo information at micrometer resolution (or beyond) within the spatial, structural and biochemical contexts. Our report demonstrates the immense potential for biomedical discovery and diagnosis made available by bridging preclinical in-vivo imaging with ex-vivo biological microscopy to zoom in from the whole organism to individual structures and by adding localized spectroscopic information to structural and functional information. We showcase the use of two novel imaging pipelines to zoom into mural lesions (occlusions/hyperplasia and micro-calcifications) in murine vasculature in a truly correlative manner, that is using exactly the same animal for all integrated imaging modalities. This correlated multimodality imaging (CMI) approach includes well-established technologies such as Positron Emission Tomography (microPET), Autoradiography, Magnetic Resonance Imaging (microMRI) and Computed Tomography (microCT), and imaging approaches that are more novel in the biomedical setting, such as X-Ray Fluorescence Spectroscopy (microXRF) and High Resolution Episcopic Microscopy (HREM). Although the current pipelines are focused on mural lesions, they would also be beneficial in preclinical and clinical investigations of vascular diseases in general.
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| 4. |
- Bysell, Helena, 1978-
(författare)
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Interaction Between Microgels and Oppositely Charged Peptides
- 2009
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Lightly cross-linked polyelectrolyte microgels are materials with interesting properties for a range of applications. For instance, the volume of these particles can be drastically changed in response to pH, ionic strength, temperature, or the concentration of specific ions and metabolites. In addition, microgel particles can bind substantial amounts of oppositely charged substances, such as proteins and peptides, and release them upon changes in the external environment. Consequently, microgels have potential in catalysis, photonics, biomaterials, and not at least, as protective and stimuli-sensitive carriers for protein and peptide drugs. In this thesis, the interaction between anionic microgels and cationic peptides was investigated by monitoring microgel deswelling and reswelling in response to peptide binding and release using micromanipulator-assisted light microscopy. In addition, peptide distribution in microgels was analyzed with confocal laser scanning microscopy and peptide uptake determined with solution depletion measurements. The aim of the thesis was to clarify how parameters such as peptide size, charge density, pH, ionic strength and hydrophobicity influences the peptide binding to, distribution in and release from, polyelectrolyte microgels. Results obtained in this thesis show that electrostatic attraction is a prerequisite for interaction to occur although non-electrostatic contributions are responsible the finer details of the interactions. The size and charge density of the interacting peptides play a major role, as large and highly charged peptides are restricted to enter and interact with the microgel core, thus displaying a surface-confined distribution. The peptide-microgel interaction strength is highly reflected in the probability of peptides to be detached from the gel network. For instance, reducing the electrostatic interactions by adding salt induces significant peptide release of sufficiently small and moderately charged peptides, whereas longer and more highly charged peptides is retained in the microgel network due to the strong interaction, insufficient salt screening, and gel network pore size restriction. Decreasing the charge density of microgel network and/or peptides increases the probability for peptide detachment tremendously. To summarize, interactions occurring in oppositely charged microgel-peptide systems can be tuned by varying parameters such as charge density and peptide size and through this, the peptide uptake, distribution and release can be controlled to alter the performance of microgels in peptide drug delivery.
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| 5. |
- Gdaniec, Sandra, et al.
(författare)
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A comparison of dissolved and particulate 231Pa, 230Th and 232Th concentrations measured at the GEOTRACES Arctic crossover station in 2015
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- The global mapping of the GEOTRACES program requires consistent and precise measurements of 232Th (pg/kg), 230Th and 231Pa (fg/kg) in seawater and suspended particulate matter. Concentrations of particulate and dissolved 231Pa, 230Th and 232Th were measured by four labs in samples collected at the Arctic crossover station in 2015. These samples were collected during two separate expeditions (HLY1502 GN01, Station 30 and PS94 GN04 ARK-XXIX/3, Station 101). Detailed descriptions of chemical procedures used by the participating labs are followed by a discussion focused on dissolved surface samples and particulate samples. Results demonstrated that participating labs can determine concentrations of dissolved 230Th and 231Pa in deep water (<500 m depth) that are internally consistent within 4 % of the mean values. However, the analysis of radionuclide concentrations in suspended particles still needs improvement. The pre-concentration of particulate material used at LSCE was proven to be unsuccessful. Aliquots of particulate samples at St. 101 were re-measured and it was concluded that the absence of HF in the leaching solution was the cause for the previously underestimated particulate concentrations. Large blank contributions are still a problem, especially for measurements of particulate 231Pa.
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| 6. |
- Ge, R, et al.
(författare)
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Normative Modeling of Brain Morphometry Across the Lifespan Using CentileBrain: Algorithm Benchmarking and Model Optimization
- 2023
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Ingår i: bioRxiv : the preprint server for biology. - : Cold Spring Harbor Laboratory.
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Background: Normative modeling is a statistical approach to quantify the degree to which a particular individual-level measure deviates from the pattern observed in a normative reference population. When applied to human brain morphometric measures it has the potential to inform about the significance of normative deviations for health and disease. Normative models can be implemented using a variety of algorithms that have not been systematically appraised. Methods: To address this gap, eight algorithms were compared in terms of performance and computational efficiency using brain regional morphometric data from 37,407 healthy individuals (53% female; aged 3-90 years) collated from 87 international MRI datasets. Performance was assessed with the mean absolute error (MAE) and computational efficiency was inferred from central processing unit (CPU) time. The algorithms evaluated were Ordinary Least Squares Regression (OLSR), Bayesian Linear Regression (BLR), Generalized Additive Models for Location, Scale, and Shape (GAMLSS), Parametric Lambda, Mu, Sigma (LMS), Gaussian Process Regression (GPR), Warped Bayesian Linear Regression (WBLG), Hierarchical Bayesian Regression (HBR), and Multivariable Fractional Polynomial Regression (MFPR). Model optimization involved testing nine covariate combinations pertaining to acquisition features, parcellation software versions, and global neuroimaging measures (i.e., total intracranial volume, mean cortical thickness, and mean cortical surface area). Findings: Statistical comparisons across models at PFDR<0.05 indicated that the MFPR-derived sex- and region-specific models with nonlinear polynomials for age and linear effects of global measures had superior predictive accuracy; the range of the MAE of the models of regional subcortical volumes was 70-520 mm3 and the corresponding ranges for regional cortical thickness and regional cortical surface area were 0.09-0.26 mm and 24-560 mm2, respectively. The MFPR-derived models were also computationally more efficient with a CPU time below one second compared to a range of 2 seconds to 60 minutes for the other algorithms. The performance of all sex- and region-specific MFPR models plateaued at sample sizes exceeding 3,000 and showed comparable MAEs across distinct 10-year age-bins covering the human lifespan. Interpretation: These results provide an empirically benchmarked framework for normative modeling of brain morphometry that is useful for interpreting prior literature and supporting future study designs. The model and tools described here are freely available through CentileBrain (https://centilebrain.org/), a user-friendly web platform.
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| 8. |
- Islam, Md Shafiqul, 1984-
(författare)
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Fracture and Delamination in Packaging Materials : A Study of Experimental Methods and Simulation Techniques
- 2019
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Packages are the means of preservation, distribution and convenience of use for food, medicine and other consumer products. The introduction of a new package-opening technique for a better opening experience requires additional prototype development and physical testing. In order for the design process to be more rapid and robust, finite element (FE) simulations are widely used in packaging industries to compliment and reduce the amount of physical testing.The goal of this work is to develop some building blocks for complete package-opening FE-simulation. To begin with, the study focuses on mechanical testing of packaging materials’ fracture and delamination; especially shear fracture. Use of tools like digital image correlation (DIC) and scanning electron microscope (SEM) greatly aided to the strain measuring technique and observation of fractured and delaminated surfaces respectively.A modified shear test specimen for polymer sheet testing was developed and its geometry was optimized by FE-simulation. A geometry correction factor of shear fracture toughness for the proposed specimen was derived based on linear elastic fracture mechanics (LEFM). It was found that the specimen ligament length should vary between twice the thickness and half the ligament width of the modified shear specimen to measure the essential work of fracture.Thin-flexible laminate of low-density polyethylene (LDPE) and aluminium (Al) is another key packaging material addressed in this study. The continuum and fracture testing of individual layers provided the base information and input for FE-modelling. The FE-simulation material parameters were calibrated from the physical test response through inverse analysis. Identification process of the laminate interface fracture energy (Gc) from peel tests was studied experimentally and theoretically. A successful FE-simulation optimization framework using artificial neural network and genetic algorithm was developed for the calibration of Gc. To address the challenge in quantifying shear Gc of laminate with very thin substrates, a convenient test technique was proposed. In a separate case, the tearing response of LDPE/PET (polyethylene terephthalate) laminate was studied to examine crack propagation, crack path deviation and delamination of the laminate in mode III fracture. Several tear EWF evaluation theories were proposed along with a cyclic tear test method.
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