2,057 research outputs found
Investigating client dropout from psychotherapeutic treatments for personality disorders
Dropout from therapy for personality disorder (PD) represents a clinically-important but poorly understood phenomenon in the existing literature. The present grounded theory study explores the experiences of clients with PD, and their therapists, of treatment dropout from a National Health Service outpatient psychotherapy service, specialising in psychodynamic interventions for PD. Pre-therapy questionnaires for 20 clients were initially reviewed to generate hypotheses about the differences between treatment dropouts and completers, before a focus group was conducted with six therapists to explore their beliefs about and experiences of client dropout. Finally, six individual interviews were conducted with clients with PD, five of whom had dropped out from therapy at the host service. The final model highlighted the importance of clients’ treatment expectations, how they perceived their therapist’s behaviour, and their interpersonal history in making decisions about whether to stay in or drop out of therapy. The impact of therapy endings upon clients is also discussed, as well as therapists’ beliefs about managing complex clients, both individually and within a team, under current financial and clinical pressures. The findings are then discussed in relation to existing theory and research, and the clinical implications and limitations of the study are presented
Time series forecasting with neural networks: a comparative study using the air line data
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/73285/1/1467-9876.00109.pd
Analysing Magnetism Using Scanning SQUID Microscopy
Scanning superconducting quantum interference device microscopy (SSM) is a
scanning probe technique that images local magnetic flux, which allows for
mapping of magnetic fields with high field and spatial accuracy. Many studies
involving SSM have been published in the last decades, using SSM to make
qualitative statements about magnetism. However, quantitative analysis using
SSM has received less attention. In this work, we discuss several aspects of
interpreting SSM images and methods to improve quantitative analysis. First, we
analyse the spatial resolution and how it depends on several factors. Second,
we discuss the analysis of SSM scans and the information obtained from the SSM
data. Using simulations, we show how signals evolve as a function of changing
scan height, SQUID loop size, magnetization strength and orientation. We also
investigated 2-dimensional autocorrelation analysis to extract information
about the size, shape and symmetry of magnetic features. Finally, we provide an
outlook on possible future applications and improvements.Comment: 16 pages, 10 figure
Efficient On-the-fly Category Retrieval using ConvNets and GPUs
We investigate the gains in precision and speed, that can be obtained by
using Convolutional Networks (ConvNets) for on-the-fly retrieval - where
classifiers are learnt at run time for a textual query from downloaded images,
and used to rank large image or video datasets.
We make three contributions: (i) we present an evaluation of state-of-the-art
image representations for object category retrieval over standard benchmark
datasets containing 1M+ images; (ii) we show that ConvNets can be used to
obtain features which are incredibly performant, and yet much lower dimensional
than previous state-of-the-art image representations, and that their
dimensionality can be reduced further without loss in performance by
compression using product quantization or binarization. Consequently, features
with the state-of-the-art performance on large-scale datasets of millions of
images can fit in the memory of even a commodity GPU card; (iii) we show that
an SVM classifier can be learnt within a ConvNet framework on a GPU in parallel
with downloading the new training images, allowing for a continuous refinement
of the model as more images become available, and simultaneous training and
ranking. The outcome is an on-the-fly system that significantly outperforms its
predecessors in terms of: precision of retrieval, memory requirements, and
speed, facilitating accurate on-the-fly learning and ranking in under a second
on a single GPU.Comment: Published in proceedings of ACCV 201
Nitric acid scavenging by mineral and biomass burning aerosols
The abundance of gas phase nitric acid in the upper troposphere is overestimated by global chemistry-transport models, especially during the spring and summer seasons. Recent aircraft data obtained over the central US show that mineral aerosols were abundant in the upper troposphere during spring. Chemical reactions on mineral dust may provide an important sink for nitric acid. In regions where the mineral dust abundance is low in the upper troposphere similar HNO3 removal processes may occur on biomass burning aerosols. We propose that mineral and biomass burning aerosols may provide an important global sink for gas phase nitric acid, particularly during spring and summer when aerosol composition in the upper troposphere may be greatly affected by dust storms from east Asia or tropical biomass burning plumes
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Cytokinin oxidase activity from Phaseolus vulgaris L. cv. Great Northern callus tissues
Cytokinin oxidase activity in callus tissues of
Phaseolus vulgaris L. cv. Great Northern has been examined
using an assay based on the oxidation of radioactively
labeled N⁶ -(Δ² -isopentenyl) adenine (i⁶Ade) to adenine
(Ade). Conditions for the quantitative extraction and
assay of the enzyme have been established. The substrate
specificity of the enzyme appears similar to that reported
for cytokinin oxidase preparations from other plant
sources.
Solutions of exogenous cytokinins applied directly to
the surface of Great Northern callus tissues induced
relatively rapid (in less than an hour) increases in
cytokinin oxidase activity. The cytokinin-induced increase
in cytokinin oxidase activity appears to require RNA and
protein synthesis. All cytokinin-active compounds tested,
including substrates and non-substrates of cytokinin
oxidase, were effective in inducing elevated levels of the enzyme in Great Northern callus tissue. The cytokininactive
urea derivative, Thidiazuron, was as effective as
any adenine derivative in inducing this response.
The addition of Cu⁺² to cytokinin oxidase assay
mixtures containing imidazole buffer enhanced the in vitro
activity of the enzyme more than 20-fold. The effect was
enzyme dependent and specific for copper and the cytokinin
oxidase catalyzed reaction. In the presence of copper and
imidazole, the degradation of i⁶Ade to Ade catalyzed by
cytokinin oxidase was observed to proceed under anaerobic
conditions. This result suggests that the copper-imidazole
complex is substituting for oxygen as an electron accepter
in the cytokinin oxidase reaction.
The chromatographic properties of the cytokinin
oxidase activity have also been investigated. Most of the
cytokinin oxidase activity extracted from callus tissues
bound to concanavalin A-Sepharose 4B and was specifically
eluted with methyl-mannose. This result suggests that the
enzyme is a glycoprotein. DEAE-cellulose chromatography
resolved the cytokinin oxidase activity into two peaks.
The major fraction, which comprised 85% to 90% of the
cytokinin oxidase activity extracted from the callus
tissues, bound to concanavalin A-Sepharose 4B. The minor
peak of cytokinin oxidase activity did not. These results
provide evidence for the presence of multiple forms of
cytokinin oxidase, but the possibility of artifacts generated during enzyme preparation cannot yet be
excluded
Once only principle: Benefits, barriers & next steps
The Once-Once Principle (OOP) suggests that citizens and businesses should have the right to supply information only once to a public administration. It would then be the responsibility of public administration offices to take all necessary actions in order to internally share this data by respecting the relevant data protection rules. The overall aim is to reduce administrative burden. The implementation of the OOP is high on the political agenda of many countries including the Member States of the European Union. The aim of this panel is to enable an open discussion between the panelists and the audience in order to exchange good practices and also identify and prioritize benefits and barriers as well as possible next steps towards widely implementing the once only principle in public service provisioning
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