| 41. |
- Risi, Camille, et al.
(författare)
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Process-evaluation of tropospheric humidity simulated by general circulation models using water vapor isotopologues : 1. Comparison between models and observations
- 2012
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Ingår i: Journal of Geophysical Research. - 0148-0227 .- 2156-2202. ; 117, s. D05303-
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Tidskriftsartikel (refereegranskat)abstract
- The goal of this study is to determine how H2O and HDO measurements in water vapor can be used to detect and diagnose biases in the representation of processes controlling tropospheric humidity in atmospheric general circulation models (GCMs). We analyze a large number of isotopic data sets (four satellite, sixteen ground-based remote-sensing, five surface in situ and three aircraft data sets) that are sensitive to different altitudes throughout the free troposphere. Despite significant differences between data sets, we identify some observed HDO/H2O characteristics that are robust across data sets and that can be used to evaluate models. We evaluate the isotopic GCM LMDZ, accounting for the effects of spatiotemporal sampling and instrument sensitivity. We find that LMDZ reproduces the spatial patterns in the lower and mid troposphere remarkably well. However, it underestimates the amplitude of seasonal variations in isotopic composition at all levels in the subtropics and in midlatitudes, and this bias is consistent across all data sets. LMDZ also underestimates the observed meridional isotopic gradient and the contrast between dry and convective tropical regions compared to satellite data sets. Comparison with six other isotope-enabled GCMs from the SWING2 project shows that biases exhibited by LMDZ are common to all models. The SWING2 GCMs show a very large spread in isotopic behavior that is not obviously related to that of humidity, suggesting water vapor isotopic measurements could be used to expose model shortcomings. In a companion paper, the isotopic differences between models are interpreted in terms of biases in the representation of processes controlling humidity.
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| 42. |
- Rönnmar, Mia, et al.
(författare)
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New Forms of Employment in Sweden
- 2016
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Ingår i: New Forms of Employment in Europe. - 9789041162397 ; 94, s. 355-355
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Bokkapitel (refereegranskat)
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| 43. |
- Sainz, Juan, et al.
(författare)
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Effect of Type 2 Diabetes Predisposing Genetic Variants on Colorectal Cancer Risk.
- 2012
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Ingår i: The Journal of clinical endocrinology and metabolism. - : The Endocrine Society. - 1945-7197 .- 0021-972X. ; 97:5, s. 845-851
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Tidskriftsartikel (refereegranskat)abstract
- Background: The link between colorectal cancer (CRC) and type 2 diabetes mellitus (T2D) has been extensively studied. Although it is commonly accepted that T2D is a risk factor for CRC, the underlying mechanisms are still poorly understood. Research Design and Methods:Given that the genetic background contributes to both traits, it is conceivable that genetic variants associated with T2D may also influence the risk of CRC. We selected 26 T2D-related single-nucleotide polymorphisms (SNP) previously identified by genome-wide association studies and assessed their association with CRC and their interaction with known risk factors (gender, T2D, and body mass index) of CRC. Selected SNP were genotyped in 1798 CRC cases and 1810 controls from the population-based Darmkrebs: Chancen der Verhütung durch Screening (DACHS) study (Germany). Results:Patients carrying the TCF7L2_rs7903146_T allele had an increased risk of CRC (P(trend) = 0.02), whereas patients harboring the IL13_rs20541_T allele had a reduced risk (P(trend) = 0.02). A further analysis revealed gender-specific effects: the TCF7L2_rs7903146_T allele was associated with an increased risk of CRC in women (P(trend) = 0.003) but not in men (P(interaction) = 0.06); the LTA_rs1041981_A allele was associated with a decreased risk for CRC in women (P(trend) = 0.02), with an opposite effect in men (P(trend) = 0.05; P(interaction) = 0.002); the CDKAL1_rs7754840_C allele was associated with a decreased risk for CRC in men (P(trend) = 0.03), with no effect in women (P(interaction) = 0.03). The risk associated with the presence of T2D was modified both by IGF2BP2_rs4402960 and PPARγ_rs1801282 SNP (P(interaction) = 0.04 and 0.04, respectively). None of the findings were significant after correction for multiple comparisons. Conclusions:These findings suggest that T2D-related variants modify CRC risk independently and/or in an interactive manner according to the gender and the presence or absence of T2D.
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| 44. |
- Sainz, Juan, et al.
(författare)
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GWAS-Identified Common Variants for Obesity Are Not Associated with the Risk of Developing Colorectal Cancer
- 2014
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Ingår i: Cancer Epidemiology Biomarkers & Prevention. - 1538-7755. ; 23:6, s. 1125-1128
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Tidskriftsartikel (refereegranskat)abstract
- Background: Observational studies have consistently associated obesity with colorectal cancer risk. Because both traits are genetically determined and share some metabolic biomarkers, we hypothesized that obesity-related polymorphisms could also influence the risk of developing colorectal cancer. Methods: We conducted a comprehensive population-based case-control study in 1,792 German colorectal cancer cases and 1,805 controls to explore associations between 28 obesogenic variants identified through genome-wide association studies (GWAS) and colorectal cancer risk. We also evaluated interactions between polymorphisms and body mass index (BMI), type II diabetes (T2D), and gender. Results: No evidence of association between obesogenic variants and colorectal cancer risk was observed after correction for multiple testing. There was only a remarkable interaction between the LTA(rs1041981) polymorphism and gender, which modified the risk of colorectal cancer [P-interaction - 0.002; males: odds ratio (OR), 1.14; 95% confidence intervals (CI), 1.00-1.30 vs. females: OR, 0.83; 95% CI, 0.71-0.97]. Conclusions: Our findings showed that obesogenic variants are not a major pathogenetic risk factor for colorectal cancer.
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| 45. |
- Sehlin, Dag, 1976-, et al.
(författare)
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Engineered antibodies : new possibilities for brain PET?
- 2019
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Ingår i: European Journal of Nuclear Medicine and Molecular Imaging. - : SPRINGER. - 1619-7070 .- 1619-7089. ; 46:13, s. 2848-2858
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Forskningsöversikt (refereegranskat)abstract
- Almost 50 million people worldwide are affected by Alzheimer's disease (AD), the most common neurodegenerative disorder. Development of disease-modifying therapies would benefit from reliable, non-invasive positron emission tomography (PET) biomarkers for early diagnosis, monitoring of disease progression, and assessment of therapeutic effects. Traditionally, PET ligands have been based on small molecules that, with the right properties, can penetrate the blood-brain barrier (BBB) and visualize targets in the brain. Recently a new class of PET ligands based on antibodies have emerged, mainly in applications related to cancer. While antibodies have advantages such as high specificity and affinity, their passage across the BBB is limited. Thus, to be used as brain PET ligands, antibodies need to be modified for active transport into the brain. Here, we review the development of radioligands based on antibodies for visualization of intrabrain targets. We focus on antibodies modified into a bispecific format, with the capacity to undergo transferrin receptor 1 (TfR1)-mediated transcytosis to enter the brain and access pathological proteins, e.g. amyloid-beta. A number of such antibody ligands have been developed, displaying differences in brain uptake, pharmacokinetics, and ability to bind and visualize the target in the brain of transgenic mice. Potential pathological changes related to neurodegeneration, e.g. misfolded proteins and neuroinflammation, are suggested as future targets for this novel type of radioligand. Challenges are also discussed, such as the temporal match of radionuclide half-life with the ligand's pharmacokinetic profile and translation to human use. In conclusion, brain PET imaging using bispecific antibodies, modified for receptor-mediated transcytosis across the BBB, is a promising method for specifically visualizing molecules in the brain that are difficult to target with traditional small molecule ligands.
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| 46. |
- Stone, Vicki, et al.
(författare)
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Nanomaterials for environmental studies: classification, reference material issues, and strategies for physico-chemical characterisation.
- 2010
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Ingår i: Science of the total environment. - : Elsevier BV. - 1879-1026 .- 0048-9697. ; 408:7, s. 1745-54
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Tidskriftsartikel (refereegranskat)abstract
- NanoImpactNet is a European Commission Framework Programme 7 (FP7) funded project that provides a forum for the discussion of current opinions on nanomaterials in relation to human and environmental issues. In September 2008, in Zurich, a NanoImpactNet environmental workshop focused on three key questions: 1. What properties should be characterised for nanomaterials used in environmental and ecotoxicology studies? 2. What reference materials should be developed for use in environmental and ecotoxicological studies? 3. Is it possible to group different nanomaterials into categories for consideration in environmental studies? Such questions have been, at least partially, addressed by other projects/workshops especially in relation to human health effects. Such projects provide a useful basis on which this workshop was based, but in this particular case these questions were reformulated in order to focus specifically on environmental studies. The workshop participants, through a series of discussion and reflection sessions, generated the conclusions listed below. The physicochemical characterisation information identified as important for environmental studies included measures of aggregation/agglomeration/dispersability, size, dissolution (solubility), surface area, surface charge, surface chemistry/composition, with the assumption that chemical composition would already be known. There is a need to have test materials for ecotoxicology, and several substances are potentially useful, including TiO(2) nanoparticles, polystyrene beads labelled with fluorescent dyes, and silver nanoparticles. Some of these test materials could then be developed into certified reference materials over time. No clear consensus was reached regarding the classification of nanomaterials into categories to aid environmental studies, except that a chemistry-based classification system was a reasonable starting point, with some modifications. It was suggested, that additional work may be required to derive criteria that can be used to generate such categories, that would also include aspects of the material structure and physical behaviour.
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| 47. |
- Tewes, Thomas J., et al.
(författare)
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Understanding Raman Spectral Based Classifications with Convolutional Neural Networks Using Practical Examples of Fungal Spores and Carotenoid-Pigmented Microorganisms
- 2023
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Ingår i: AI. - : MDPI AG. - 2673-2688. ; 4:1, s. 114-127
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Tidskriftsartikel (refereegranskat)abstract
- Numerous publications showing that robust prediction models for microorganisms based on Raman micro-spectroscopy in combination with chemometric methods are feasible, often with very precise predictions. Advances in machine learning and easier accessibility to software make it increasingly easy for users to generate predictive models from complex data. However, the question regarding why those predictions are so accurate receives much less attention. In our work, we use Raman spectroscopic data of fungal spores and carotenoid-containing microorganisms to show that it is often not the position of the peaks or the subtle differences in the band ratios of the spectra, due to small differences in the chemical composition of the organisms, that allow accurate classification. Rather, it can be characteristic effects on the baselines of Raman spectra in biochemically similar microorganisms that can be enhanced by certain data pretreatment methods or even neutral-looking spectral regions can be of great importance for a convolutional neural network. Using a method called Gradient-weighted Class Activation Mapping, we attempt to peer into the black box of convolutional neural networks in microbiological applications and show which Raman spectral regions are responsible for accurate classification.
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| 48. |
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| 49. |
- Vandaele, Ann Carine, et al.
(författare)
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Martian dust storm impact on atmospheric H2O and D/H observed by ExoMars Trace Gas Orbiter
- 2019
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Ingår i: Nature. - : Springer. - 1476-4687 .- 1476-4687 .- 0028-0836. ; 568:7753, s. 521-525
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Global dust storms on Mars are rare1,2 but can affect the Martian atmosphere for several months. They can cause changes in atmospheric dynamics and inflation of the atmosphere3, primarily owing to solar heating of the dust3. In turn, changes in atmospheric dynamics can affect the distribution of atmospheric water vapour, with potential implications for the atmospheric photochemistry and climate on Mars4. Recent observations of the water vapour abundance in the Martian atmosphere during dust storm conditions revealed a high-altitude increase in atmospheric water vapour that was more pronounced at high northern latitudes5,6, as well as a decrease in the water column at low latitudes7,8. Here we present concurrent, high-resolution measurements of dust, water and semiheavy water (HDO) at the onset of a global dust storm, obtained by the NOMAD and ACS instruments onboard the ExoMars Trace Gas Orbiter. We report the vertical distribution of the HDO/H2O ratio (D/H) from the planetary boundary layer up to an altitude of 80 kilometres. Our findings suggest that before the onset of the dust storm, HDO abundances were reduced to levels below detectability at altitudes above 40 kilometres. This decrease in HDO coincided with the presence of water-ice clouds. During the storm, an increase in the abundance of H2O and HDO was observed at altitudes between 40 and 80 kilometres. We propose that these increased abundances may be the result of warmer temperatures during the dust storm causing stronger atmospheric circulation and preventing ice cloud formation, which may confine water vapour to lower altitudes through gravitational fall and subsequent sublimation of ice crystals3. The observed changes in H2O and HDO abundance occurred within a few days during the development of the dust storm, suggesting a fast impact of dust storms on the Martian atmosphere.
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| 50. |
- Wallentin, Jesper, et al.
(författare)
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InP Nanowire Array Solar Cells Achieving 13.8% Efficiency by Exceeding the Ray Optics Limit.
- 2013
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Ingår i: Science. - : American Association for the Advancement of Science (AAAS). - 1095-9203 .- 0036-8075. ; 339:6123, s. 1057-1060
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Tidskriftsartikel (refereegranskat)abstract
- Photovoltaics based on nanowire arrays could reduce cost and materials consumption compared to planar devices, but have exhibited low efficiency of light absorption and carrier collection. We fabricated a variety of millimeter-sized arrays of p-i-n doped InP nanowires and found that the nanowire diameter and the length of the top n-segment were critical for cell performance. Efficiencies up to 13.8% (comparable to the record planar InP cell) were achieved using resonant light trapping in 180-nanometer-diameter nanowires that only covered 12% of the surface. The share of sunlight converted into photocurrent (71%) was six times the limit in a simple ray optics description. Furthermore, the highest open circuit voltage of 0.906 volt exceeds that of its planar counterpart, despite about 30 times higher surface-to-volume ratio of the nanowire cell.
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