4,835 research outputs found
Time-lapse capacitive resistivity imaging: a new technology concept for the monitoring of permafrost
The British Geological Survey, in partnership with the Universities of Sussex and Bonn, is
investigating and seeking to prove a new technology concept for the non-invasive volumetric
imaging and routine temporal monitoring of the thermal state of permafrost (Figure 1), a key
indicator of global climate change. Capacitive Resistivity Imaging (CRI), a technique based upon a
low-frequency, capacitively-coupled measurement approach (Kuras et al., 2006) is applied in
order to emulate Electrical Resistivity Tomography (ERT) methodology, but without the need for
galvanic contact on frozen soils or rocks. Recent work has shown that temperature-calibrated
ERT using galvanic sensors (Figure 2) is capable of imaging recession and re-advance of rock
permafrost in response to the ambient temperature regime. However, the use of galvanic sensors
can lead to significant practical limitations on field measurements due to high levels of and large
variations in contact resistances between sensors and the host material as it freezes and thaws
Figure 3). The capacitive technology developed here overcomes this problem and provides a more
robust means of making high-quality resistance measurements with permanently installed
sensors over time. Reducing the uncertainty associated with uncontrolled noise from galvanic
sensors increases the value of time-lapse ERT datasets in the context of monitoring permafrost
Predicting the movements of permanently installed electrodes on an active landslide using time-lapse geoelectrical resistivity data only
If electrodes move during geoelectrical resistivity monitoring and their new positions are not incorporated in the inversion, then the resulting tomographic images exhibit artefacts that can obscure genuine time-lapse resistivity changes in the subsurface. The effects of electrode movements on time-lapse resistivity tomography are investigated using a simple analytical model and real data. The correspondence between the model and the data is sufficiently good to be able to predict the effects of electrode movements with reasonable accuracy. For the linear electrode arrays and 2D inversions under consideration, the data are much more sensitive to longitudinal than transverse or vertical movements. Consequently the model can be used to invert the longitudinal offsets of the electrodes from their known baseline positions using only the time-lapse ratios of the apparent resistivity data. The example datasets are taken from a permanently installed electrode array on an active lobe of a landslide. Using two sets with different levels of noise and subsurface resistivity changes, it is found that the electrode positions can be recovered to an accuracy of 4 % of the baseline electrode spacing. This is sufficient to correct the artefacts in the resistivity images, and provides for the possibility of monitoring the movement of the landslide and its internal hydraulic processes simultaneously using electrical resistivity tomography only
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Pilot mixed-methods evaluation of interpersonal counselling for young people with depressive symptoms in non-specialist services.
BACKGROUND: The majority of young people receive treatment for depressive symptoms in the UK from staff with minimal specialist mental health/therapeutic training. There is no evidence to guide them as to what treatments are likely to be effective. Interpersonal counselling (IPC) is a reduced form of interpersonal psychotherapy and may be an appropriate treatment to use in this population. OBJECTIVES: To test the effectiveness and acceptability of IPC delivered by youth workers to young people with primarily depressive symptoms. METHODS: Youth workers received a 2-day training course in IPC, followed by regular supervision. They delivered IPC to 23 young people who they would normally see in their service, with depressive symptoms as their main problem. Symptoms were assessed by the Revised Child Depression and Anxiety Scale (RCADS). Qualitative interviews of youth workers and young people assessed acceptability. FINDINGS: Mean (SD) RCADS depression-T scores fell from 78.2 (11.1) to 52.9 (16.8). All young people and youth workers interviewed were positive about it. Participants detailed specific advantages of IPC above standard counselling, including practical help, the use of goals, psychoeducation and integrating a self-rated questionnaire into treatment. CONCLUSIONS AND CLINICAL IMPLICATIONS: IPC is likely to be an effective and acceptable treatment for young people with primarily depressive symptoms seen in local authority non-specialist mental health services. Further research is needed to determine if it is more effective than current treatment as usual
Dialectical Behavior Therapy-A Highly Effective Treatment for Some Adolescents Who Self-harm.
Self-harm is a highly common behaviour in adolescents, which is associated with future attempted and completed suicide, and onset of mental illness.1 It is associated with significant distress (both as a cause and an outcome) and social impairment.2 It is therefore essential that we provide effective treatment. Self-harm is a hazardous behaviour that can occur in young people with any mental disorder, and indeed in young people with no psychiatric diagnosis.2 This demonstrates the need for specific treatments aimed at adolescent self-harm, which may confer additional benefits on top of treatments aimed at the underlying disorder. This is particularly true for young people who do need meet strict criteria for any psychiatric illness, but do have impairing self-harm
Structures of RecBCD in complex with phage-encoded inhibitor proteins reveal distinctive strategies for evasion of a bacterial immunity hub
Following infection of bacterial cells, bacteriophage modulate double-stranded DNA break repair pathways to protect themselves from host immunity systems and prioritise their own recombinases. Here, we present biochemical and structural analysis of two phage proteins, gp5.9 and Abc2, which target the DNA break resection complex RecBCD. These exemplify two contrasting mechanisms for control of DNA break repair in which the RecBCD complex is either inhibited or co-opted for the benefit of the invading phage. Gp5.9 completely inhibits RecBCD by preventing it from binding to DNA. The RecBCD-gp5.9 structure shows that gp5.9 acts by substrate mimicry, binding predominantly to the RecB arm domain and competing sterically for the DNA binding site. Gp5.9 adopts a parallel coiled-coil architecture that is unprecedented for a natural DNA mimic protein. In contrast, binding of Abc2 does not substantially affect the biochemical activities of isolated RecBCD. The RecBCD-Abc2 structure shows that Abc2 binds to the Chi-recognition domains of the RecC subunit in a position that might enable it to mediate the loading of phage recombinases onto its single-stranded DNA products
Evaluation and Comparison of 300-yd and 500-yd Shallow Water Run Tests as Predictors of Aerobic Power
The purposes of the study were to assess and compare the validity of both 300-yd and 500-yd shallow water run (SWR) tests to predict peak aerobic power (VO2peak). Subjects included 18 women and 18 men who performed a graded exercise treadmill test to predict VO2peak and then performed a 300-yd and 500-yd SWR for time. In addition to SWR times, other independent variables included age, gender, body weight, height, leg length, percent body fat, and 300-yd and 500-yd SWR heart rate and rating of perceived exertion. Correlation coefficients with measured VO2peak were r = -.84 and -.87 for the 300-yd and 500-yd SWR times, respectively. Multiple regression analyses revealed that prediction of VO2peak from 300-yd SWR time improved by including gender and body weight (R = .919; SEE = 0.360 L.min-1). Similarly, prediction of VO2peak improved from 500-yd SWR time by including gender, body weight, and leg length (R = .940; SEE = 0.316 L.min-1). Equations were also developed for use in pools of varying water depths. In conclusion, the 300-yd and 500-yd SWR tests can provide accurate and valid estimates of aerobic power
Geophysical-geotechnical sensor networks for landslide monitoring
Landslides are often the result of complex, multi-phase processes where gradual deterioration of shear strength
within the sub-surface precedes the appearance of surface features and slope failure. Moisture content increases
and the build-up of associated pore water pressures are invariably associated with a loss of strength, and thus are
a precursor to failure. Consequently, hydraulic processes typically play a major role in the development of
landslides. Geoelectrical techniques, such as resistivity and self-potential are being increasingly applied to study
landslide structure and the hydraulics of landslide processes. The great strengths of these techniques are that they
provide spatial or volumetric information at the site scale, which, when calibrated with appropriate geotechnical
and hydrogeological data, can be used to characterise lithological variability and monitor hydraulic changes in
the subsurface. In this study we describe the development of an automated time-lapse electrical resistivity
tomography (ALERT) and geotechnical monitoring system on an active inland landslide near Malton, North
Yorkshire, UK. The overarching objective of the research is to develop a 4D landslide monitoring system that
can characterise the subsurface structure of the landslide, and reveal the hydraulic precursors to movement. The
site is a particularly import research facility as it is representative of many lowland UK situations in which weak
mudrocks have failed on valley sides. Significant research efforts have already been expended at the site, and a
number of baseline data sets have been collected, including ground and airborne LIDAR, geomorphologic and
geological maps, and geophysical models. The monitoring network comprises an ALERT monitoring station
connected to a 3D monitoring electrode array installed across an area of 5,500 m2, extending from above the
back scarp to beyond the toe of the landslide. The ALERT instrument uses wireless telemetry (in this case
GPRS) to communicate with an office based server, which runs control software and a database management
system. The control software is used to schedule data acquisition, whilst the database management system stores,
processes and inverts the remotely streamed ERT data. Once installed and configured, the system operates
autonomously without manual intervention. Modifications to the ALERT system at this site have included the
addition of environmental and geotechnical sensors to monitor rainfall, ground movement, ground and air
temperature, and pore pressure changes within the landslide. The system is housed in a weatherproof enclosure
and is powered by batteries charged by a wind turbine & solar panels. 3D ERT images generated from the
landslide have been calibrated against resistivity information derived from laboratory testing of borehole core
recovered from the landslide. The calibrated images revealed key aspects of the 3D landslide structure, including
the lateral extent of slipped material and zones of depletion and accumulation; the surface of separation and the
thickness of individual earth flow lobes; and the dipping in situ geological boundary between the bedrock
formations. Time-lapse analysis of resistivity signatures has revealed artefacts within the images that are
diagnostic of electrode movement. Analytical models have been developed to simulate the observed artefacts,
from which predictions of electrode movement have been derived. This information has been used to correct the
ERT data sets, and has provided a means of using ERT to monitor landslide movement across the entire ALERT
imaging area. Initial assessment of seasonal changes in the resistivity signature has indicated that the system is
sensitive to moisture content changes in the body of the landslide, thereby providing a basis for further
development of the system with the aim of monitoring hydraulic precursors to failure
Stellar variability in the MOA database
Research undertaken for this thesis aimed to detect and identify stellar variability in the database of the Japan/New Zealand MOA collaboration. The database of stars collected by the MOA project provided an extensive source of raw data for analysis. Detection of stellar variability was performed by several C++ programs created by the author, which incorporated the Welch and Stetson variability index, the Schwarzenburg-Czerny period folding program, a microlensing modelling program and a transit, detection program. The search for stellar variability produced 83 Cepheid variables, 265 long period variables, 59 eclipsing binaries and 6 potential microlensing events. Sixteen potentially interesting variations that could correspond to planetary transits were also detected. The folded lightcurve of one of the potential transits was categorised as a 'very interesting transit' and 15 were categorised as 'interesting transits'. The search for planetary transits ultimately proved unsuccessful, however, a detailed statistical study of the MOA data revealed several alterations concerning observational procedures which could be made to optimise the MOA data for any future search for planetary transits
Suffering with dementia: the other side of "living well"
In this editorial, we challenge the current understanding of βLiving Well with Dementia.β Such discourse introduces the possibility of not living well with the condition or even of βliving badly with dementia.β Numerous words might be relevant here β grief, pain, anguish, depression β but in this editorial we consciously use the word βsuffering.β This term is used for two reasons; one, because it captures the attributes of other more limited words, and, two because the language of βsufferingβ is contentious, making it suitable for debate. We speak of suffering, not to deny the positive aspects of life with dementia or to concentrate just on the negative, but to redress the balance that is disturbed by a relentlessly positive view of living with the condition. Our aim is to promote a more realistic understanding of the dementia experience, one based on actualities and evidence rather than presumption and sentiment
The S. pombe translation initiation factor eIF4G is sumoylated and associates with the SUMO protease Ulp2
SUMO is a small post-translational modifier, that is attached to lysine residues in target proteins. It acts by altering proteinprotein
interactions, protein localisation and protein activity. SUMO chains can also act as substrates for ubiquitination,
resulting in proteasome-mediated degradation of the target protein. SUMO is removed from target proteins by one of a
number of specific proteases. The processes of sumoylation and desumoylation have well documented roles in DNA
metabolism and in the maintenance of chromatin structure. To further analyse the role of this modification, we have
purified protein complexes containing the S. pombe SUMO protease, Ulp2. These complexes contain proteins required for
ribosome biogenesis, RNA stability and protein synthesis. Here we have focussed on two translation initiation factors that
we identified as co-purifying with Ulp2, eIF4G and eIF3h. We demonstrate that eIF4G, but not eIF3h, is sumoylated. This
modification is increased under conditions that produce cytoplasmic stress granules. Consistent with this we observe partial
co-localisation of eIF4G and SUMO in stressed cells. Using HeLa cells, we demonstrate that human eIF4GI is also sumoylated;
in vitro studies indicate that human eIF4GI is modified on K1368 and K1588, that are located in the C-terminal eIF4A- and
Mnk-binding sites respectively
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