235 research outputs found
Effect of closing facilities on electroconvulsive therapy use in Glasgow
<p>Objectives: To assess the effect of closure of electroconvulsive therapy (ECT) centers on ECT use. Electroconvulsive therapy remains a recommended and effective treatment for mental disorders. Declining rates
of ECT use in the United Kingdom have been observed over the last 20 years with anecdotal observations that use has declined as the result of centralization of provision. In Glasgow, there have been site closures in the north with no such rationing taking place in the south.</p>
<p>Methods: A naturalistic retrospective survey of the number of ECT
courses commenced each year in Glasgow, with a comparison made between the north and the south of the city. Data were available from 1996 to 2008.</p>
<p>Results: Our analysis showed no change in the mean number of ECT courses commenced in southern AQ2 Glasgow (period 1, 42.25; period 2, 41.83; period 3, 31; F = 1.369; P = 0.298). There was a significant reduction in the mean number of ECT treatments commenced in northern Glasgow (period 1, 91.25; period 2, 51; period 3, 33.33; F = 10.06; P = 0.04).</p>
<p>Conclusions: In northern Glasgow, where there have been 2 site closures since 1996, ECT use has declined. This trend was not replicated in the south of the city. This would suggest that the closure of ECT centers does reduce the use of ECT. However, there may be a number of confounding variables that could not be factored into the analysis because of lack of available data.</p>
Chemokines in depression in health and in inflammatory illness: a systematic review and meta-analysis
Inflammatory illness is associated with depression. Preclinical work has shown that chemokines are linked with peripheral–central crosstalk and may be important in mediating depressive behaviours. We sought to establish what evidence exists that differences in blood or cerebrospinal fluid chemokine concentration discriminate between individuals with depression and those without. Following PRISMA guidelines, we systematically searched Embase, PsycINFO and Medline databases. We included participants with physical illness for subgroup analysis, and excluded participants with comorbid psychiatric diagnoses. Seventy-three studies met the inclusion criteria for the meta-analysis. Individuals with depression had higher levels of blood CXCL4 and CXCL7 and lower levels of blood CCL4. Sensitivity analysis of studies with only physically healthy participants identified higher blood levels of CCL2, CCL3, CCL11, CXCL7 and CXCL8 and lower blood levels of CCL4. All other chemokines examined did not reveal significant differences (blood CCL5, CCL7, CXCL9, CXCL10 and cerebrospinal fluid CXCL8 and CXCL10). Analysis of the clinical utility of the effect size of plasma CXCL8 in healthy individuals found a negative predictive value 93.5%, given the population prevalence of depression of 10%. Overall, our meta-analysis finds evidence linking abnormalities of blood chemokines with depression in humans. Furthermore, we have demonstrated the possibility of classifying individuals with depression based on their inflammatory biomarker profile. Future research should explore putative mechanisms underlying this association, attempt to replicate existing findings in larger populations and aim to develop new diagnostic and therapeutic strategies
Attitudes towards mental illness in Malawi: a cross-sectional survey
<p><b>Background:</b> Stigma and discrimination associated with mental illness are strongly linked to suffering, disability and poverty. In order to protect the rights of those with mental disorders and to sensitively develop services, it is vital to gain a more accurate understanding of the frequency and nature of stigma against people with mental illness. Little research about this issue has been conducted in sub Saharan Africa. Our study aimed to describe levels of stigma in Malawi.</p>
<p><b>Method:</b> A cross-sectional survey of patients and relatives attending mental health and non-mental health related clinics in a general hospital in Blantyre, Malawi. Subjects were interviewed using an adapted version of the questionnaire developed for the World Psychiatric Association Program to Reduce Stigma and Discrimination Because of Schizophrenia.</p>
<p><b>Results:</b> 210 subjects participated in our study. Most attributed mental disorder to alcohol and illicit drug abuse (95%). This was closely followed by brain disease (92.8%), spirit possession (82.8%) and then psychological trauma (76.1%). There were some associations found between demographic variables and single question responses, however no consistent trends were observed in stigmatising beliefs. These results should be interpreted with caution and in the context of existing research. Contrary to the international literature, having direct personal experience of mental illness seemed to have no positive effect on stigmatising beliefs in our sample.</p>
<p><b>Conclusions:</b> Our study contributes to an emerging picture that individuals in sub Saharan Africa most commonly attribute mental illness to alcohol/ illicit drug use and spiritual causes. Our work adds weight to the argument that stigma towards mental illness is an important global health and human rights issue.</p>
The envirome and the connectome: exploring the structural noise in the human brain associated with socioeconomic deprivation
Complex cognitive functions are widely recognized to be the result of a number of brain regions working together as large-scale networks. Recently, complex network analysis has been used to characterize various structural properties of the large scale network organization of the brain. For example, the human brain has been found to have a modular architecture i.e. regions within the network form communities (modules) with more connections between regions within the community compared to regions outside it. The aim of this study was to examine the modular and overlapping modular architecture of the brain networks using complex network analysis. We also examined the association between neighborhood level deprivation and brain network structure – modularity and grey nodes. We compared network structure derived from anatomical MRI scans of 42 middle-aged neurologically healthy men from the least (LD) and the most deprived (MD) neighborhoods of Glasgow with their corresponding random networks. Cortical morphological covariance networks were constructed from the cortical thickness derived from the MRI scans of the brain. For a given modularity threshold, networks derived from the MD group showed similar number of modules compared to their corresponding random networks, while networks derived from the LD group had more modules compared to their corresponding random networks. The MD group also had fewer grey nodes – a measure of overlapping modular structure. These results suggest that apparent structural difference in brain networks may be driven by differences in cortical thicknesses between groups. This demonstrates a structural organization that is consistent with a system that is less robust and less efficient in information processing. These findings provide some evidence of the relationship between socioeconomic deprivation and brain network topology
Optimization of Islanded Microgrid Operation
Presently a lot of effort is being deployed in the area of microgrid development. In this aspect, the work presented here is in the direction of developing and coordinating various operational modules in an isolated microgrid system.
The work presented in this report looks at the prospects of incorporating a consumer side load-scheduling algorithm that works in conjunction with the unit commitment and economic load dispatch. The unit commitment and economic load dispatch are run a day in advance to determine generator outputs for the following day. From the microgrid operator point of view, the load side scheduling helps reduce the stress on the system especially during peak hours thereby ensuring system stability and security. From the consumers’ point of view, the dynamic electricity prices within a day, which are a reflection of this time varying stress on the system, encourage them to endorse such a scheme and reduce their bills incurred. Owing to unpredictable weather conditions, running unit commitment and economic load dispatch in advance does not guarantee planned real-time generation in the microgrid scenario. Such variability in forecasted generation must be handled in any microgrid, while accounting for load demand uncertainties. To address this issue a load side energy management system and power balance scheme is proposed in this paper. The objective is to ascertain uninterrupted power to critical loads while managing other non-critical loads based on their priorities
Resting state connectivity and cognitive performance in adults with cerebral autosomal-dominant arteriopathy with subcortical infarcts and leukoencephalopathy
Cognitive impairment is an inevitable feature of cerebral autosomal-dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL), affecting executive function, attention and processing speed from an early stage. Impairment is associated with structural markers such as lacunes, but associations with functional connectivity have not yet been reported. Twenty-two adults with genetically-confirmed CADASIL (11 male; aged 49.8 ± 11.2 years) underwent functional magnetic resonance imaging at rest. Intrinsic attentional/executive networks were identified using group independent components analysis. A linear regression model tested voxel-wise associations between cognitive measures and component spatial maps, and Pearson correlations were performed with mean intra-component connectivity z-scores. Two frontoparietal components were associated with cognitive performance. Voxel-wise analyses showed an association between one component cluster and processing speed (left middle temporal gyrus; peak −48, −18, −14; ZE = 5.65, pFWEcorr = 0.001). Mean connectivity in both components correlated with processing speed (r = 0.45, p = 0.043; r = 0.56, p = 0.008). Mean connectivity in one component correlated with faster Trailmaking B minus A time (r = −0.77, p < 0.001) and better executive performance (r = 0.56, p = 0.011). This preliminary study provides evidence for associations between cognitive performance and attentional network connectivity in CADASIL. Functional connectivity may be a useful biomarker of cognitive performance in this population
Fault Tolerant Power Balancing Strategy in an Isolated Microgrid via Optimization
The increasing penetration of renewable energy generation
(REG)
in t
he
m
icrogrid paradigm
has brought with it larger uncertainty in the scheduled generation. This along with the inevitable variation
between actual load and for
ecasted load has further accentuated
the issue of real
-
time
power
balancing.
With
the advent of sm
art loads and meters supported by advanced communication technologies
,
several
new possibilities for demand side management
have opened up
.
In
this
paper
,
a real time optimization
strategy
for
load side energy management system
(EMS)
and for power
balance
is proposed.
The
proposed strategy achieves power
balance by optimizing load reduction
.
The objective is to ascertain
uninterrupted power to critical loads and reduce non
-
critical loads depending on the priorities for various
loads.
To further enhance the
flexibility of the system, the addition of a battery to the management model
is
also
discussed.
The proposed algorithm
also makes the system
tolerant
to possible generator failures
if
battery is added to the system. The effectiveness of the proposed online
power balancing strategy via
optimization is demonstrated through various
simulation
case studies
The tangled causes of population decline in two harvested plant species: a comment on Ticktin et al. (2012)
1. Ticktin et al. (2012) attempted to disentangle multiple stressors impacting harvested populations of amla (Phyllanthus emblica and P. indofischeri) [Ticktin et al. (2012) Disentangling the effects of multiple anthropogenic drivers on the decline of two tropical dry forest trees. Journal of Applied Ecology, 49, 774–784.].
2. We propose that an unbalanced design and substitution of missing data for key parameters render their matrix models flawed. They conclude that the main threats to recruitment were lantana and mistletoe invasion and recommend revoking the ban on amla harvest.
3. Our re-analyses of their data set, without substituting unavailable data, showed that cessation of harvests significantly increased stochastic growth rates of amla, despite high lantana and mistletoe cover.
4. Management recommendations by Ticktin et al. (2012) were based on the assumptions of invasiveness of a native mistletoe and grazing impacts of wild ungulates. However, interactions with amla are complex, and the recommendations made by them could have deleterious repercussions on native biota.
5. Synthesis and applications. Developing an objective understanding of harvest consequences by incorporating earlier findings and considering uncertainties in results is critical for maintaining livelihoods and ecological processes linked to amla populations
Imaging Josephson Vortices on Curved Junctions
Understanding the nature of vortices in type-II superconductors has been
vital for deepening the physics of exotic superconductors and applying
superconducting materials to future electronic devices. A recent study has
shown that the LiTi2O4(111) thin film offers a unique experimental platform to
unveil the nature of the vortex along the curved Josephson junction. This study
successfully visualized individual Josephson vortices along the curved
Josephson junctions using in-situ spectroscopic scanning tunneling microscopy
on LiTi2O4 (111) epitaxial thin films. Notably, the local curvature of the
Josephson junction was discovered to control the position of Josephson
vortices. Furthermore, the numerical simulation reproduces the critical role of
the curvature of the Josephson junction. This study provides guidelines to
control Josephson vortices through geometrical ways, such as mechanical
controlling of superconducting materials and their devices
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