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Occupational sun exposure and risk of melanoma according to anatomical site
Get PDFAlthough sunburn and intermittent sun exposures are associated with increased melanoma risk, most studies have found null or inverse associations between occupational (more continuous pattern) sun exposure and melanoma risk. The association of melanoma with occupational sun exposure may differ according to anatomical site, with some studies finding a positive association with melanoma on the head and neck. We examined the association between occupational sun exposure (self-reported weekday sun exposure) and melanoma risk according to anatomical site, using data from two multicentre population-based case-control studies: the Australian Melanoma Family Study (588 cases, 472 controls) and the Genes, Environment and Melanoma study (GEM; 1079 cases, 2,181 controls). Unconditional logistic regression was used to estimate odds ratios (OR) and their 95% confidence intervals, adjusting for potential confounders. Occupational sun exposure was not positively associated with melanoma risk overall or at different body sites in both studies. The GEM study found inverse associations between occupational sun exposure and melanoma on the head and neck [OR for highest vs. lowest quartile: 0.56, 95% confidence intervals (CI) 0.36-0.86, ptrend 0.02], and between the proportion of total sun exposure occurring on weekdays and melanoma on the upper limbs (OR for highest vs. lowest quartile: 0.66, 95% CI 0.42-1.02, ptrend 0.03). Our results suggest that occupational sun exposure does not increase risk of melanoma, even of melanomas situated on the head and neck. This finding seemed not to be due to negative confounding of occupational sun exposure by weekend sun
STIMULATION OF NEURONS THROUGH A CHEMOMAGNETIC APPROACH USING THE NEUROTRANSMITTER CAPSAICIN
Get PDFThe full text of this item is not available at this time because the author has placed this item under an embargo until September 30, 2025.The nervous system is characterized by its limited capacity for spontaneous regeneration and functional recovery after injury due to trauma or disease. Here, we used a chemomagnetic approach to stimulate activity and regeneration in neurons through interrogation with the neurotransmitter capsaicin. Iron oxide magnetic nanoparticles (MNPs) were functionally coated with temperature-responsive poly (oligo (ethylene glycol) methyl ether methacrylate) (POEGMA) brushes, which were used as a reservoir to encapsulate capsaicin. MNPs were used in tandem with alternating magnetic fields (AMFs) to locally release the neurotransmitter capsaicin from the POEGMA brushes onto primary rat hippocampal neurons to stimulate activity and onto ND7/23 cells to promote their differentiation towards neurons. The purpose of using AMFs was to control the on-demand local release of capsaicin onto cells through the magnetic heating effect of MNPs and the temperature response of the polymer coating. For stimulation, four different groups were tested (neurons alone, AMFs alone, MNPs alone, and MNPs with AMFs) and analyzed to assess the chemomagnetic effects of the MNPs on hippocampal neurons. For cell differentiation, two different cell densities (5k and 10k) were seeded with capsaicin and neural growth factors to investigate whether capsaicin can cause ND7/23 cells to differentiate into neurons. Three different concentrations of capsaicin were tested (0.003 mg/mL, 0.01 mg/mL, 0.03 mg/mL) and analyzed after 3 and 7 days of incubation. In both cases, cell viability assays and reactive oxygen species (ROS) tests were performed to evaluate the biological impact of the MNPs and the chemomagnetic stimulation treatments. The results of the in-vitro experiments of hippocampal neuron stimulation showed the release of capsaicin from the MNPs is triggered via AMFs, and the release of capsaicin causes excitation of hippocampal neural activity. The use of capsaicin on ND7/23 cells promoted the differentiation of these cells into neurons. Viability and ROS assays demonstrated that chemomagnetic treatment methods are non-toxic to the cells.Biomedical Engineering and Chemical Engineerin
The Retrieval of Tropospheric NO2 Vertical Column Density from Spectrolite Measurements over Berlin
No full textAir pollution has become one of the most serious problems societies worldwide are facing, thus there is an emergent need for air quality monitoring to quantify pollution level and supervise pollution sources. One of the main pollutants, nitrogen dioxide, mostly comes from human activities such as the burning of fossil fuels, vehicle exhaust and electricity generation by power stations. In recent years, methods have been successfully developed and widely applied to monitor trace gases by measuring the vertical column density from space-borne satellites or ground-base stations. Recently, airborne observation for tropospheric trace gases column densities has become more and more popular, providing unique high spatial resolution observations that can be used for emission monitoring and for validation of satellite or ground-based observations. The Netherlands Organization for Applied Scientific Research (TNO) has developed Spectrolite, a compact, low cost hyperspectral imaging spectrometer based on the technological heritage fromTROPOsphericMonitoring Instrument (TROPOMI). In this project, an algorithm was developed to retrieve tropospheric NO2 vertical column densities from Spectrolite spectral observations during the AROMAPEX campaign in Berlin on 21 April, 2016. We applyDifferentialOptical Absorption Spectroscopy (DOAS) approach to obtain differential slant column densities (dSCDs) from spectral measurements. Afterwards, a look-up table which contains radiances output as function of various parameters was derived from radiative transfer model to compute air mass factors (AMFs). However, since we do not know the surface reflectance during the measurements, Landsat observations over a homogeneous region are utilized for vicarious calibration of radiances and this allows us to retrieve surface reflectance needed for AMF calculations. Subsequently, OMI data is used in order to determine tropospheric background and to correct for effects related to stratospheric NO2. Results of the dSCD retrieval show a pronounced NO2 plume over Berlin stretching out from West to East over the city. Several hot spots can be observed and related to emission sources on the ground. They also acquire a good correspondence with the dSCDs retrieved by other instruments (AirMap, SWING) at the same time during the campaign and therefore give much confidence for the future development at TNO. In order to obtain VCDs, AMFs were derived using complementary observations for some parameters (e.g. aerosol optical). Sensitivity studies were performed to assess the impact on the retrieval accuracy of other parameters. It can come to a conclusion that aerosol and NO2 vertical profiles are very essential to the VCD retrieval and need to be more well-defined in order to provide precise VCD results in absolutemagnitude.Civil Engineering and GeosciencesGeoscience and Remote Sensin
The impact of high resolution surface reflectance data on the accuracy of the TROPOMI tropospheric NO2 product over the greater Rotterdam region
No full textThe Sentinel-5 Precursor satellite has a payload of the TROPOspheric Monitoring Instrument, TROPOMI.The satellite was launched in 2017 by ESA with the intended goal of measuring trace gases in the atmosphere.One of the products of TROPOMI is the Tropospheric NO2 column. This product is based on thespectral measurements to obtain the column abundance of NO2 in the troposphere. This product alsorelies on a-priori data and one of these a-priori datasets is the albedo dataset.The currently used dataset has a resolution of 0.5°x 0.5°, which corresponds to approximately 55 kmx 34 km at mid-latitudes. The TROPOMI pixel size is significantly smaller, 3.5 km x 7 km. Due to this large difference in resolution the discussion arises if this used dataset is sufficient for accurate results. This researchmakes a comparison between the current a-priori dataset and possible replacements.This paper makes this comparison by calculating Air Mass Factors (AMFs) using the OMI LERalbedo climatology as a reference and the two alternative high resolution surface reflectance datasets,Sentinel-2 and Landsat-8. These surface reflectance datasets were regridded and averaged on the corresponding TROPOMI grid. The focus area of this paper is the Greater Rotterdam region in the Nether-lands.Before these AMF calculations were done, a comparison between Sentinel-2 and Landsat-8 surfacereflectance datasets is made. This is done both on their own high resolution and regridded onto theTROPOMI grid. Above water surfaces and land covered by vegetation a bias of approximately 0.01 was present between the two high resolution surface reflectance datasets. These differences are relatively small. The differences calculated for the datasets regridded to the TROPOMI grid were also relatively small, with a bias of 0.01 above the water and vegetation surfaces.Two cases were studied during this research: the 21st of April 2018 and the 6th/7th of May 2018. Theresults show that significant improvements can be made by using a higher resolution surface reflectancedataset. A median bias of -10.4% (-15.6%) was calculated for the 21st of April for Sentinel-2 (Landsat-8)compared to the AMFs based on the OMI albedo dataset. For May this was -3.9% (-9.3%). Furthermorethis study showed extreme AMF-biases of 68.0% overestimation and 39.8% underestimation by the OMIalbedo dataset compared to Sentinel-2, where the overestimation was observed over the greenhouses inthe Westland region and the underestimation in the rural region to the East of the domain in April.For May the underestimation was mostly observed to the West (North Sea), indicating that over regionswith a low surface reflectance the atmospheric correction greatly influences the AMF. The comparisonbetween Landsat-8 and OMI showed similar results in the AMF differences.These findings are supported further by a recent Sentinel-5P validation study, which comparedground based observations to the TROPOMI observations. This project found an NO2 underestimationof approximately 20% for many different stations. This research suggest that, at least partly, this difference can be explained by the coarse resolution of the a-priori albedo dataset used. Civil Engineerin
Magnetothermal multiplexing for biomedical applications
No full textThesis: Ph. D., Massachusetts Institute of Technology, Department of Materials Science and Engineering, 2017.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Cataloged from student-submitted PDF version of thesis.Includes bibliographical references (pages 170-176).Research on biomedical applications of magnetic nanoparticles (MNPs) has increasingly sought to demonstrate noninvasive actuation of cellular processes and material responses using heat dissipated in the presence of an alternating magnetic field (AMF). By modeling the dependence of hysteresis losses on AMF amplitude and constraining AMF conditions to be physiologically suitable, it can be shown that MNPs exhibit uniquely optimal driving conditions that depend on controllable material properties such as magnetic anisotropy, magnetization, and particle volume. "Magnetothermal multiplexing," which relies on selecting materials with substantially distinct optimal AMF conditions, enables the selective heating of different kinds of collocated MNPs by applying different AMF parameters. This effect has the potential to extend the functionality of a variety of emerging techniques with mechanisms that rely on bulk or nanoscale heating of MNPs. Experimental investigations on methods for actuating deep brain stimulation, drug release, and shape memory polymer response are summarized, with discussion of the feasibility and utility of applying magnetothermal multiplexing to similar systems. The possibility of selective heating is motivated by a discussion of various models for heat dissipation by MNPs in AMFs, and then corroborated with experimental calorimetry measurements. A heuristic method for identifying materials and AMF conditions suitable for multiplexing is demonstrated on a set of iron oxide nanoparticles doped with various concentrations of cobalt. Design principles for producing AMFs with high amplitude and ranging in frequency from 15kHz to 2.5MHz are explained in detail, accompanied by a discussion of the outlook for scalability to clinically relevant dimensions. The thesis concludes with a discussion of the state of the field and the broader lessons that can be drawn from the work it describes.by Michael G. Christiansen.Ph. D
A versatile gene-based test for genome-wide association studies
No full textWe have derived a versatile gene-based test for genome-wide association studies (GWAS). Our approach, called VEGAS (versatile gene-based association study), is applicable to all GWAS designs, including family-based GWAS, meta-analyses of GWAS on the basis of summary data, and DNA-pooling-based GWAS, where existing approaches based on permutation are not possible, as well as singleton data, where they are. The test incorporates information from a full set of markers (or a defined subset) within a gene and accounts for linkage disequilibrium between markers by using simulations from the multivariate normal distribution. We show that for an association study using singletons, our approach produces results equivalent to those obtained via permutation in a fraction of the computation time. We demonstrate proof-of-principle by using the gene-based test to replicate several genes known to be associated on the basis of results from a family-based GWAS for height in 11,536 individuals and a DNA-pooling-based GWAS for melanoma in ∼1300 cases and controls. Our method has the potential to identify novel associated genes; provide a basis for selecting SNPs for replication; and be directly used in network (pathway) approaches that require per-gene association test statistics. We have implemented the approach in both an easy-to-use web interface, which only requires the uploading of markers with their association p-values, and a separate downloadable application. © 2010 The American Society of Human Genetics. All rights reserved
Intercomparison of four airborne imaging DOAS systems for tropospheric NO2 mapping - the AROMAPEX campaign
No full textWe present an intercomparison study of four airborne imaging DOAS instruments, dedicated to the retrieval and high-resolution mapping of tropospheric nitrogen dioxide (NO2) vertical column densities (VCDs). The AROMAPEX campaign took place in Berlin, Germany, in April 2016 with the primary objective to test and intercompare the performance of experimental airborne imagers. The imaging DOAS instruments were operated simultaneously from two manned aircraft, performing synchronised flights: APEX (VITO–BIRA-IASB) was operated from DLR's DO-228 D-CFFU aircraft at 6.2 km in altitude, while AirMAP (IUP-Bremen), SWING (BIRA-IASB), and SBI (TNO–TU Delft–KNMI) were operated from the FUB Cessna 207T D-EAFU at 3.1 km. Two synchronised flights took place on 21 April 2016. NO2 slant columns were retrieved by applying differential optical absorption spectroscopy (DOAS) in the visible wavelength region and converted to VCDs by the computation of appropriate air mass factors (AMFs). Finally, the NO2 VCDs were georeferenced and mapped at high spatial resolution. For the sake of harmonising the different data sets, efforts were made to agree on a common set of parameter settings, AMF look-up table, and gridding algorithm. The NO2 horizontal distribution, observed by the different DOAS imagers, shows very similar spatial patterns. The NO2 field is dominated by two large plumes related to industrial compounds, crossing the city from west to east. The major highways A100 and A113 are also identified as line sources of NO2. Retrieved NO2 VCDs range between 1×1015 molec cm−2 upwind of the city and 20×1015 molec cm−2 in the dominant plume, with a mean of 7.3±1.8×1015 molec cm−2 for the morning flight and between 1 and 23×1015 molec cm−2 with a mean of 6.0±1.4×1015 molec cm−2 for the afternoon flight. The mean NO2 VCD retrieval errors are in the range of 22 % to 36 % for all sensors. The four data sets are in good agreement with Pearson correlation coefficients better than 0.9, while the linear regression analyses show slopes close to unity and generally small intercepts.Atmospheric Remote Sensin
Impact of aerosols on the OMI tropospheric NO2 retrievals over industrialized regions: how accurate is the aerosol correction of cloud-free scenes via a simple cloud model?
No full textThe Ozone Monitoring Instrument (OMI) has provided daily global measurements of tropospheric NO2 for more than a decade. Numerous studies have drawn attention to the complexities related to measurements of tropospheric NO2 in the presence of aerosols. Fine particles affect the OMI spectral measurements and the length of the average light path followed by the photons. However, they are not explicitly taken into account in the current operational OMI tropospheric NO2 retrieval chain (DOMINO – Derivation of OMI tropospheric NO2) product. Instead, the operational OMI O2 − O2 cloud retrieval algorithm is applied both to cloudy and to cloud-free scenes (i.e. clear sky) dominated by the presence of aerosols. This paper describes in detail the complex interplay between the spectral effects of aerosols in the satellite observation and the associated response of the OMI O2 − O2 cloud retrieval algorithm. Then, it evaluates the impact on the accuracy of the tropospheric NO2 retrievals through the computed Air Mass Factor (AMF) with a focus on cloud-free scenes. For that purpose, collocated OMI NO2 and MODIS (Moderate Resolution Imaging Spectroradiometer) Aqua aerosol products are analysed over the strongly industrialized East China area. In addition, aerosol effects on the tropospheric NO2 AMF and the retrieval of OMI cloud parameters are simulated. Both the observation-based and the simulation-based approach demonstrate that the retrieved cloud fraction increases with increasing Aerosol Optical Thickness (AOT), but the magnitude of this increase depends on the aerosol properties and surface albedo. This increase is induced by the additional scattering effects of aerosols which enhance the scene brightness. The decreasing effective cloud pressure with increasing AOT primarily represents the shielding effects of the O2 − O2 column located below the aerosol layers. The study cases show that the aerosol correction based on the implemented OMI cloud model results in biases between −20 and −40 % for the DOMINO tropospheric NO2 product in cases of high aerosol pollution (AOT ≥ 0.6) at elevated altitude. These biases result from a combination of the cloud model error, used in the presence of aerosols, and the limitations of the current OMI cloud Look-Up-Table (LUT). A new LUT with a higher sampling must be designed to remove the complex behaviour between these biases and AOT. In contrast, when aerosols are relatively close to the surface or mixed with NO2, aerosol correction based on the cloud model results in an overestimation of the DOMINO tropospheric NO2 column, between 10 and 20 %. These numbers are in line with comparison studies between ground-based and OMI tropospheric NO2 measurements in the presence of high aerosol pollution and particles located at higher altitudes. This highlights the need to implement an improved aerosol correction in the computation of tropospheric NO2 AMFs
Structural uncertainty in air mass factor calculation for NO<sub>2</sub> and HCHO satellite retrievals
No full textAir mass factor (AMF) calculation is the largest source of uncertainty in NO2 and HCHO satellite retrievals in situations with enhanced trace gas concentrations in the lower troposphere. Structural uncertainty arises when different retrieval methodologies are applied within the scientific community to the same satellite observations. Here, we address the issue of AMF structural uncertainty via a detailed comparison of AMF calculation methods that are structurally different between seven retrieval groups for measurements from the Ozone Monitoring Instrument (OMI). We estimate the escalation of structural uncertainty in every sub-step of the AMF calculation process. This goes beyond the algorithm uncertainty estimates provided in state-of-the-art retrievals, which address the theoretical propagation of uncertainties for one particular retrieval algorithm only. We find that top-of-atmosphere reflectances simulated by four radiative transfer models (RTMs) (DAK, McArtim, SCIATRAN and VLIDORT) agree within 1.5 %. We find that different retrieval groups agree well in the calculations of altitude resolved AMFs from different RTMs (to within 3 %), and in the tropospheric AMFs (to within 6 %) as long as identical ancillary data (surface albedo, terrain height, cloud parameters and trace gas profile) and cloud and aerosol correction procedures are being used. Structural uncertainty increases sharply when retrieval groups use their preference for ancillary data, cloud and aerosol correction. On average, we estimate the AMF structural uncertainty to be 42 % over polluted regions and 31 % over unpolluted regions, mostly driven by substantial differences in the a priori trace gas profiles, surface albedo and cloud parameters. Sensitivity studies for one particular algorithm indicate that different cloud correction approaches result in substantial AMF differences in polluted conditions (5 to 40 % depending on cloud fraction and cloud pressure, and 11 % on average) even for low cloud fractions (<0.2) and the choice of aerosol correction introduces an average uncertainty of 50 % for situations with high pollution and high aerosol loading. Our work shows that structural uncertainty in AMF calculations is significant and that it is mainly caused by the assumptions and choices made to represent the state of the atmosphere. In order to decide which approach and which ancillary data are best for AMF calculations, we call for well-designed validation exercises focusing on polluted conditions in which AMF structural uncertainty has the highest impact on NO2 and HCHO retrievals
