258 research outputs found

    Kidson Area B, WA, 1996 (P771), radiometric line data, AWAGS levelled

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    Maintenance and Update Frequency: notPlannedStatement: This Kidson Area B, WA, 1996 (P771), radiometric line data, AWAGS levelled is an airborne-derived radiometric data for the Kidson Areas A & B, WA, 1996. The data was acquired under the project No. 771 for the geological survey of WA. A total of 128005 line-kilometres of data at a line spacing of 400m were acquired during this survey. To constrain long wavelengths in the data, an independent data set, the Australia-wide Airborne Geophysical Survey (AWAGS) airborne magnetic data, was used to control the base levels of the survey data (Milligan et al., 2009). This survey data is essentially levelled to AWAGS. Noise-adjusted singular value decomposition (NASVD) has been applied to the data. NASVD is a spectral component analysis procedure for the removal of noise from gamma-ray spectra. Details of the specifications of individual airborne surveys can be found in the Fourteenth Edition of the Index of Airborne Geophysical Surveys (Percival, 2014). This Index is also available online at http://pid.geoscience.gov.au/dataset/79134. References: Milligan, P.R., Minty, B.R.S., Richardson, M. & Franklin, R., 2009. The Australia-wide Airborne Geophysical Survey accurate continental magnetic coverage. Preview, No. 138, p. 1-128, Percival, P.J., 2014. Index of airborne geophysical surveys (Fourteenth Edition).The radiometric, or gamma-ray spectrometric method, measures the natural variations in the gamma-rays detected near the Earth's surface as the result of the natural radioactive decay of potassium (K), uranium (U) and thorium (Th). The data collected are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose.<br/> This Kidson Area B, WA, 1996 (P771), radiometric line data, AWAGS levelled were acquired in 1996 by the WA Government, and consisted of 128005 line-kilometres of data at 400m line spacing and 60m terrain clearance. To constrain long wavelengths in the data, an independent data set, the Australia-wide Airborne Geophysical Survey (AWAGS) airborne magnetic data, was used to control the base levels of the survey data. This survey data is essentially levelled to AWAGS

    Kidson Area B, WA, 1996 (P771), magnetic line data, AWAGS levelled

    No full text
    Maintenance and Update Frequency: notPlannedStatement: This Kidson Area B, WA, 1996 (P771), magnetic line data, AWAGS levelled is an airborne-derived magnetic line dataset for the Kidson Areas A & B, WA, 1996 survey. The data was acquired under the project No. 771 for the geological survey of WA. A total of 128005 line-kilometres of data at a line spacing of 400m and 60m terrain clearance were acquired during this survey. To constrain long wavelengths in the data, an independent data set, the Australia-wide Airborne Geophysical Survey (AWAGS) airborne magnetic data, was used to control the base levels of the survey data (Milligan et al., 2009). This survey data is essentially levelled to AWAGS. Details of the specifications of individual airborne surveys can be found in the Fourteenth Edition of the Index of Airborne Geophysical Surveys (Percival, 2014). This Index is also available online at http://pid.geoscience.gov.au/dataset/79134. References: Milligan, P.R., Minty, B.R.S., Richardson, M. & Franklin, R., 2009. The Australia-wide Airborne Geophysical Survey accurate continental magnetic coverage. Preview, No. 138, p. 1-128, Percival, P.J., 2014. Index of airborne geophysical surveys (Fourteenth Edition).Total magnetic intensity (TMI) data measures variations in the intensity of the Earth's magnetic field caused by the contrasting content of rock-forming minerals in the Earth crust. Magnetic anomalies can be either positive (field stronger than normal) or negative (field weaker) depending on the susceptibility of the rock. The data are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose.<br/> These line dataset from the Kidson Areas A & B, WA, 1996 survey were acquired in 1996 by the WA Government, and consisted of 128005 line-kilometres of data at 400m line spacing and 60m terrain clearance. To constrain long wavelengths in the data, an independent data set, the Australia-wide Airborne Geophysical Survey (AWAGS) airborne magnetic data, was used to control the base levels of the survey data. This survey data is essentially levelled to AWAGS

    Kidson Area A, WA, 1996 (P771), magnetic line data, AWAGS levelled

    No full text
    Maintenance and Update Frequency: notPlannedStatement: This Kidson Area A, WA, 1996 (P771), magnetic line data, AWAGS levelled is an airborne-derived magnetic line dataset for the Kidson Areas A & B, WA, 1996 survey. The data was acquired under the project No. 771 for the geological survey of WA. A total of 128005 line-kilometres of data at a line spacing of 400m and 60m terrain clearance were acquired during this survey. To constrain long wavelengths in the data, an independent data set, the Australia-wide Airborne Geophysical Survey (AWAGS) airborne magnetic data, was used to control the base levels of the survey data (Milligan et al., 2009). This survey data is essentially levelled to AWAGS. Details of the specifications of individual airborne surveys can be found in the Fourteenth Edition of the Index of Airborne Geophysical Surveys (Percival, 2014). This Index is also available online at http://pid.geoscience.gov.au/dataset/79134. References: Milligan, P.R., Minty, B.R.S., Richardson, M. & Franklin, R., 2009. The Australia-wide Airborne Geophysical Survey accurate continental magnetic coverage. Preview, No. 138, p. 1-128, Percival, P.J., 2014. Index of airborne geophysical surveys (Fourteenth Edition).Total magnetic intensity (TMI) data measures variations in the intensity of the Earth's magnetic field caused by the contrasting content of rock-forming minerals in the Earth crust. Magnetic anomalies can be either positive (field stronger than normal) or negative (field weaker) depending on the susceptibility of the rock. The data are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose.<br/> These line dataset from the Kidson Areas A & B, WA, 1996 survey were acquired in 1996 by the WA Government, and consisted of 128005 line-kilometres of data at 400m line spacing and 60m terrain clearance. To constrain long wavelengths in the data, an independent data set, the Australia-wide Airborne Geophysical Survey (AWAGS) airborne magnetic data, was used to control the base levels of the survey data. This survey data is essentially levelled to AWAGS

    Kidson Area A, WA, 1996 (P771), radiometric line data, AWAGS levelled

    No full text
    Maintenance and Update Frequency: notPlannedStatement: This Kidson Area A, WA, 1996 (P771), radiometric line data, AWAGS levelled is an airborne-derived radiometric data for the Kidson Areas A & B, WA, 1996. The data was acquired under the project No. 771 for the geological survey of WA. A total of 128005 line-kilometres of data at a line spacing of 400m were acquired during this survey. To constrain long wavelengths in the data, an independent data set, the Australia-wide Airborne Geophysical Survey (AWAGS) airborne magnetic data, was used to control the base levels of the survey data (Milligan et al., 2009). This survey data is essentially levelled to AWAGS. Noise-adjusted singular value decomposition (NASVD) has been applied to the data. NASVD is a spectral component analysis procedure for the removal of noise from gamma-ray spectra. Details of the specifications of individual airborne surveys can be found in the Fourteenth Edition of the Index of Airborne Geophysical Surveys (Percival, 2014). This Index is also available online at http://pid.geoscience.gov.au/dataset/79134. References: Milligan, P.R., Minty, B.R.S., Richardson, M. & Franklin, R., 2009. The Australia-wide Airborne Geophysical Survey accurate continental magnetic coverage. Preview, No. 138, p. 1-128, Percival, P.J., 2014. Index of airborne geophysical surveys (Fourteenth Edition).The radiometric, or gamma-ray spectrometric method, measures the natural variations in the gamma-rays detected near the Earth's surface as the result of the natural radioactive decay of potassium (K), uranium (U) and thorium (Th). The data collected are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose.<br/> This Kidson Area A, WA, 1996 (P771), radiometric line data, AWAGS levelled were acquired in 1996 by the WA Government, and consisted of 128005 line-kilometres of data at 400m line spacing and 60m terrain clearance. To constrain long wavelengths in the data, an independent data set, the Australia-wide Airborne Geophysical Survey (AWAGS) airborne magnetic data, was used to control the base levels of the survey data. This survey data is essentially levelled to AWAGS

    Investigating the role of a FAM111B mutation in hereditary fibrosing poikiloderma (POIKTMP) using induced pluripotent stem cell (iPSC) model

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    Hereditary fibrosing poikiloderma is an autosomal dominant disorder that is characterised by mottled pigmentation and telangiectasia, accompanied by tendon contractures, myopathy and pulmonary fibrosis (POIKTMP). Mutations in POIKTMP cases have been shown to harbour the Family with sequence similarity 111B (FAM111B) gene. However, its function is unknown. The aim of this study was to investigate the causative role of the FAM111B mutation (c.1861T>G) in the multi-systemic fibrosis affecting the South African kindred with POIKTMP. Dermal fibroblasts from two affected siblings and a familial control were reprogrammed into induced pluripotent stem cells (iPSCs) via the Sendai virus vector (SeVdp) packaged with pluripotency transgenes (OCT4; SOX2; KLF4; C-MYC). The derived iPSCs successfully showed a) endogenous expression of pluripotency markers (OCT4; NANOG; TRA-1-60), b) in vitro differentiation into the three germ layers (endoderm; mesoderm; ectoderm) and c) normal karyotyping. Next, the iPSCs from two patients, a Familial control and a Non-familial control were differentiated into mesenchymal stem/stromal cells (iPSC-MSCs) as a cell model in this study. Characterisation of derived iPSC-MSCs indicated positive expression of MSC markers (CD73; CD90; α-SMA). Differentiation of iPSC-MSCs demonstrated adequate osteogenicity but limited adipogenicity. Patient-derived iPSC-MSCs were thereafter analysed by qPCR and collagen staining to determine whether the FAM111B mutation alters endogenous expression of pro-fibrotic markers as well as collagen synthesis in patient cells compared to controls. Messenger RNA expression of pro-fibrotic markers (COL1A1; COL3A1; α-SMA) was similar between patient and control iPSC-MSCs. Collagen staining and quantification also showed no statistical differences between patient and control cells. These results suggest that FAM111B does not directly alter the expression of these profibrotic genes in this in vitro model system. Growth curves were then carried out to investigate if the FAM111B mutation modulates cell proliferation and it was found that patient cells proliferated at a higher rate compared to controls. To explore the mechanisms underlying the rate change, analyses of FAM111B expression during cell cycle progressions were conducted. Extensive optimization experiments using the double thymidine block approach were necessary to establish the appropriate synchronization protocol, keeping in mind the extended doubling time of iPSCMSCs. The results revealed that FAM111B mRNA expression was temporally regulated, with a peak at the S-phase and low at the G2/M phase. While there were no pattern differences between patient and control cells, FAM111B mRNA expression was significantly higher in the patient cells compared to controls at the G1- and S-phase. These results suggest that the mutation in FAM111B might affect the stability or perdurance of the mRNA. Unfortunately, analysis of the FAM111B protein data was inconclusive. Problems related to synchronization of the cells and the specificity of the antibody would have to be rectified in order to follow this further. The overall findings in this in vitro study reveal that the FAM111B mutation does not alter expression of pro-fibrotic markers but does affect the cell proliferation rate of patient cells compared to controls. Future work will focus on further optimisation of iPSC-MSCs synchronisation to determine correlation of FAM111B mRNA and protein expression during cell cycle progression in the patient cells. Furthermore, 3D in vitro cellular models that recapitulate some parts of the POIKTMP phenotype will need to be created. Future work will also explore the gain-of-function hypothesis to further understand the role of FAM111B in fibrosis and cancer phenotype in POIKTMP

    Repair of ionizing radiation induced DNA damage in human lymphocytes

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    Phytohemagglutinin stimulated human lymphocytes exhibit a 20 fold increase in DNA repair synthesis.following ionizing radiation damage compared to the level of repair in unstimulated cells. The peak of repair synthesis coincides with that for DNA replication. Stimulated lymphocytes provide a relatively simple assay for ionizing radiation repair defects. INTRODOCTION The radiobiology of lymphocytes has been extensively studied and distinct populations of lymphocytes have been identified by their differential sensitivity to ionizing radiation (1). Several reports indicate that B lymphocytes are more radiosensitive than T lymphocytes (2-5), but it is well recognized that resistance to ionizing radiation varies within subpopulations of both cell types (6-9). Mitogen stimulated T cells are more resistant to radiation than quiescent cells (10, 11). It is suggested that this increased protection is due to the induction of DNA repair enzymes and one report which shows a doubling of repair synthesis after stimulation of lymphocytes for 18 hr with phytoheraagglutinin supports this contention (12). Several genetic disorders are known which show increased sensitivity to radiation and defective repair of damage to DNA (13-15). In most cases these disorders also have accompanying abnormalities and disturbances of the immune system (16). This suggests the possibility that some of the steps involved in DNA repair are also involved in the development or maturation of lymphocytes. Accordingly a detailed study of the repair capabilities of lymphocytes is of importance in further understanding of these disorders. In this report we hav

    Medical students' recognition of core knowledge in a supported problem-based learning curriculum

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    Includes bibliographical references (leaves 82-86).This study aims to achieve insight into how students identify core knowledge in a supported problem-based learning (PBL) medical curriculum. Self-directed learning and an emphasis on the clinical relevance of core knowledge are features of this curriculum

    Dust from Australia- A reappraisal

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    This paper reviews the meteorological events of October 1928 associated with severe duststorms in Australia and subsequent transport of dust to New Zealand. In the light of contemporary knowledge of the jet streams, and from reappraisal of the original synoptic charts, reported meteorological conditions and press reports pertaining to these duststorms, it is postulated that for dust to be deposited upon New Zealand within 24 hours, of duststorms in Australia it presumably travelled via the jet stream region of the' middle and upper troposphere

    Lateral sediment sources and knickzones as controls on spatio-temporal variations of sediment transport in an Alpine river

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    Modern mixed alluvial-bedrock channels in mountainous areas provide natural laboratories for understanding the time scales at which coarse-grained material has been entrained and transported from their sources to the adjacent sedimentary sink, where these deposits are preserved as conglomerates. This article assesses the shear stress conditions needed for the entrainment of the coarse-bed particles in the Glogn River that drains the 400 km2 Val Lumnezia basin, eastern Swiss Alps. In addition, quantitative data are presented on sediment transport patterns in this stream. The longitudinal stream profile of this river is characterized by three ca 500 m long knickzones where channel gradients range from 0·02 to 0·2 m m−1, and where the valley bottom confined into a <10 m wide gorge. Downstream of these knickzones, the stream is flat with gradients <0·01 m m−1 and widths ≥30 m. Measurements of the grain-size distribution along the trunk stream yield a mean D84 value of ca 270 mm, whereas the mean D50 is ca 100 mm. The consequences of the channel morphology and the grain-size distribution for the time scales of sediment transport were explored by using a one-dimensional step-backwater hydraulic model (Hydrologic Engineering Centre – River Analysis System). The results reveal that, along the entire trunk stream, a two to 10 year return period flood event is capable of mobilizing both the D50 and D84 fractions where the Shields stress exceeds the critical Shields stress for the initiation of particle motion. These return periods, however, varied substantially depending on the channel geometry and the pebble/boulder size distribution of the supplied material. Accordingly, the stream exhibits a highly dynamic boulder cover behaviour. It is likely that these time scales might also have been at work when coarse-grained conglomerates were constructed in the geological past

    Search for the Chiral Magnetic Effect with charge-dependent azimuthal correlations in Xe–Xe collisions at sNN=5.44 TeV

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    Charge-dependent two- and three-particle correlations measured in Xe–Xe collisions at sNN=5.44 TeV are presented. Results are obtained for charged particles in the pseudorapidity range |η|&lt;0.8 and transverse momentum interval 0.2≤pT&lt;5.0 GeV/c for different collision centralities. The three-particle correlator γαβ≡〈cos⁡(φα+φβ−2Ψ2)〉, calculated for different combinations of charge sign α and β, is expected to be sensitive to the presence of the Chiral Magnetic Effect (CME). Its magnitude is similar to the one observed in Pb–Pb collisions in contrast to a smaller CME signal in Xe–Xe collisions than in Pb–Pb collisions predicted by Monte Carlo (MC) calculations including a magnetic field induced by the spectator protons. These observations point to a large non-CME contribution to the correlator. Furthermore, the charge dependence of γαβ can be described by a blast wave model calculation that incorporates background effects and by the Anomalous Viscous Fluid Dynamics model with values of the CME signal consistent with zero. The Xe–Xe and Pb–Pb results are combined with the expected CME signal dependence on the system size from the MC calculations including a magnetic field to obtain the fraction of CME contribution in γαβ, fCME. The CME fraction is compatible with zero for the 30% most central events in both systems and then becomes positive. This yields an upper limit of 2% (3%) and 25% (32%) at 95% (99.7%) confidence level for the CME signal contribution to γαβ in the 0–70% Xe–Xe and Pb–Pb collisions, respectively
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