The impact of a psychiatric diagnosis on the self-narrative of the recipient

A psychiatric diagnosis can have a range of effects on the person receiving it. Some welcome the diagnosis, seeing it as an explanation for their distress, while others perceive it as an unwelcome medicalized label impinging negatively on their sense of themselves as rational agents. I focus on how the diagnosis affects the latter group, and in particular how it may impact on their self-narratives. I therefore outline some key themes in narrative theory which have been explored in various ways by philosophers, though to a lesser extent by psychologists. These theorists emphasise the importance of self-narratives in human psychology. I argue that those receiving a psychiatric diagnosis may be vulnerable to experiences of epistemic injustice, as described by Miranda Fricker. This includes what Fricker describes as hermeneutical injustice, where individuals lack the ability to understand their experiences or difficulties in ways that make sense to them. The medicalization implicit in psychiatric diagnoses conveys a particular kind of narrative which may conflict with the recipient’s previous self-narratives. When such effects occur, they may reduce the recipient’s sense of agency and induce feelings of hopelessness about recovery, which may then limit the prospect of a positive outcome for the person concerned. A greater use of formulation could mitigate those effects

'Autism' or 'Autism Spectrum Disorder': Does either represent a natural kind of psychological disorder?

Abstract In DSM-5, “autism spectrum disorder” (ASD) is a new diagnostic category effectively replacing the previous category of “autism”. In this paper I question whether either effectively represents a psychological natural kind with significant scientific and explanatory value. Despite the new categorisation, “ASD” and “autism” are effectively synonymous, and current understandings of ASD are based largely on previous research focussed specifically on autism. However, there has been no stable consensus over the past 40 years about what autism actually is. No biological explanation has been discovered, and no single psychological theory can account for the heterogeneity of autistic symptoms. A recent large-scale population-based study failed to identify a unifying cognitive account of the variety of symptoms of autism. In the philosophy of science literature, there are widely accepted accounts of natural kinds which emphasise their role in scientific explanations and induction. These claim that natural kinds can typically be identified by clusters of properties which are held together by causal processes and which reflect the causal structure of the world in terms of their explanatory and predictive value. However, the concept of ASD fails to indicate any causal explanation and has very limited discriminant and predictive validity. Consequently ASD, as a diagnosis, cannot plausibly be seen as a psychological natural kind, since it does not appear to function as a powerful explanatory concept in science. Psychologists involved in autism diagnostic services should try to explain more clearly what it is that they believe they are diagnosing

How should applied psychologists conceptualise an autism spectrum disorder diagnosis and its predictive validity?

Aim: Many educational and clinical psychologists are involved in autism diagnosis services, yet there is no clarity about the nature of the disorder underlying what they believe they are diagnosing. This paper therefore aims to examine some typical assumptions about the implications of an autism spectrum disorder (ASD) diagnosis. Rationale: This conceptual review questions whether ASD represents a distinct kind of disorder, in view of the substantial changes in definitions of autism over the past 50 years. This is addressed from the perspective of philosophy of science by considering whether ASD constitutes a natural kind with explanatory and predictive value. Findings: Research studies have failed to identify any distinct cognitive abnormality which uniquely characterises autism. There are no interventions specifically for people with an ASD diagnosis which, when available, are not also effective for those with other conditions. Outcomes for those with the diagnosis may be more varied than hitherto supposed and may depend on other variables apart from the diagnosis itself. Limitations: It is impossible to cover all relevant research for a fully comprehensive overview of the field in a paper of this length. However, most of the research and review papers cited are of recent date. Conclusions: It is difficult to see ASD as a distinct natural kind of psychological disorder. The outlook for those diagnosed is often hard to predict. Psychologists therefore need to be cautious about the manner in which they communicate diagnoses to avoid overly gloomy prognostications

Resolving the identification of weak-flying insects during flight: a coupling between rigorous data processing and biology

1. Bioacoustic methods play an increasingly important role for the detection of insects in a range of surveillance and monitoring programs. 2. Weak-flying insects evade detection because they do not yield sufficient audio information to capture wingbeat and harmonic frequencies. These inaudible insects often pose a significant threat to food security as pests of key agricultural crops worldwide. 3. Automatic detection of such insects is crucial to the future of crop protection by providing critical information to assess the risk to a crop and the need for preventative measures. 4. We describe an experimental setup designed to derive audio recordings from a range of weak-flying aphids and beetles using an LED array. 5. A rigorous data processing pipeline was developed to extract meaningful features, linked to morphological characteristics, from the audio and harmonic series for six aphid and two beetle species. 6. An ensemble of over 50 bioacoustic parameters was used to achieve species discrimination with a success rate of 80%. The inclusion of the dominant and fundamental frequencies improved prediction between beetles and aphids due to large differences in wingbeat frequencies. 7. At the species level, error rates were minimised when harmonic features were supplemented by features indicative of differences in species’ flight energies

Chandra Observations of the Dwarf Nova WX Hyi in Quiescence

We report Chandra observations of the dwarf nova WX Hyi in quiescence. The X-ray spectrum displays strong and narrow emission lines of N, O, Mg, Ne, Si, S and Fe. The various ionization states implied by the lines suggest that the emission is produced within a flow spanning a wide temperature range, from T ~ 10^6 K to T >~ 10^8 K. Line diagnostics indicate that most of the radiation originates from a very dense region, with n ~ 10^{13}-10^{14} cm^{-3}. The Chandra data allow the first tests of specific models proposed in the literature for the X-ray emission in quiescent dwarf novae. We have computed the spectra for a set of models ranging from hot boundary layers, to hot settling flows solutions, to X-ray emitting coronae. WX Hyi differs from other dwarf novae observed at minimum in having much stronger low temperature lines, which prove difficult to fit with existing models, and possibly a very strong, broad O VII line, perhaps produced in a wind moving at a few x 10^3 km/s. The accretion rate inferred from the X-rays is lower than the value inferred from the UV. The presence of high-velocity mass ejection could account for this discrepancy while at the same time explaining the presence of the broad O VII line. If this interpretation is correct, it would provide the first detection of a wind from a dwarf nova in quiescence.Comment: accepted to ApJ; 19 pages, 3 figures, 1 tabl

Temporal dynamics of aquatic communities and implications for pond conservation

Conservation through the protection of particular habitats is predicated on the assumption that the conservation value of those habitats is stable. We test this assumption for ponds by investigating temporal variation in macroinvertebrate and macrophyte communities over a 10-year period in northwest England. We surveyed 51 ponds in northern England in 1995/6 and again in 2006, identifying all macrophytes (167 species) and all macroinvertebrates (221 species, excluding Diptera) to species. The alpha-diversity, beta-diversity and conservation value of these ponds were compared between surveys. We find that invertebrate species richness increased from an average of 29. 5 species to 39. 8 species between surveys. Invertebrate gamma-diversity also increased between the two surveys from 181 species to 201 species. However, this increase in diversity was accompanied by a decrease in beta-diversity. Plant alpha-, beta and gamma-diversity remained approximately constant between the two periods. However, increased proportions of grass species and a complete loss of charophytes suggests that the communities are undergoing succession. Conservation value was not correlated between sampling periods in either plants or invertebrates. This was confirmed by comparing ponds that had been disturbed with those that had no history of disturbance to demonstrate that levels of correlation between surveys were approximately equal in each group of ponds. This study has three important conservation implications: (i) a pond with high diversity or high conservation value may not remain that way and so it is unwise to base pond conservation measures upon protecting currently-speciose habitats; (ii) maximising pond gamma-diversity requires a combination of late and early succession ponds, especially for invertebrates; and (iii) invertebrate and plant communities in ponds may require different management strategies if succession occurs at varying rates in the two groups

HST/FOS Eclipse Observations of the Nova-like Cataclysmic Variable UX Ursae Majoris

[abridged abstract] We present and analyze Hubble Space Telescope observations of the eclipsing nova-like cataclysmic variable UX UMa obtained with the Faint Object Spectrograph. Two eclipses each were observed with the G160L grating (covering the ultraviolet waveband) in August of 1994 and with the PRISM (covering the near-ultraviolet to near-infrared) in November of the same year. The system was 50% brighter in November than in August, which, if due to a change in the accretion rate, indicates a fairly substantial increase in Mdot_acc by >~ 50%. Model disk spectra constructed as ensembles of stellar atmospheres provide poor descriptions of the observed post-eclipse spectra, despite the fact that UX UMa's light should be dominated by the disk at this time. Suitably scaled single temperature model stellar atmospheres with T_eff = 12,500-14,500 K actually provide a better match to both the ultraviolet and optical post-eclipse spectra. Evidently, great care must be taken in attempts to derive accretion rates from comparisons of disk models to observations. One way to reconcile disk models with the observed post-eclipse spectra is to postulate the presence of a significant amount of optically thin material in the system. Such an optically thin component might be associated with the transition region (``chromosphere'') between the disk photosphere and the fast wind from the system, whose presence has been suggested by Knigge & Drew (1997).Comment: 35 pages, including 12 figures; to appear in the ApJ (Vol. 499

Feeling the Heat: Investigating the dual assault of Zymoseptoria tritici and Heat Stress on Wheat (Triticum aestivum)

As a result of climate change, field conditions are increasingly challenging for crops. Research has shown how elevated temperatures affect crop performance, yet the impact of temperature on host-pathogen relationships remains unknown. Understanding the effects of combined abiotic and biotic stresses on crop plants and the plant-microbial interaction is crucial in developing strategies to improve crop stress tolerance and manage diseases effectively. Lipids sense, signal, and mitigate temperature elevation effects, and lipid remodelling plays a key role in the plant and fungal response to heat stress. Our study uses a systems approach to examine the Z. tritici wheat model system, combining transcriptomics, lipidomics, and phenotyping to decipher the impact of high-temperature stress on the plant-pathogen interaction. Microscopy in vivo and RNA-Seq analyses confirmed that Z. tritici responds to high-temperature treatments with morphological and transcriptomic changes. Temperature-related configuration of the transcriptome was associated with the accessory chromosomes and expression of ‘accessory’ pan-genome-derived genes. Metabolism-related gene expression predominated, indicated by GO enrichment and analysis of KOG classes, and large-scale lipid remodelling was likely given the proportion of lipid transport and metabolism-related expression changes in response to temperature. Changes in lipid content and composition were then validated by LC-MS analysis. Heat-responsive fungal genes and pathways, including scramblase family genes, are being tested by reverse genetics to ascertain their importance for fungal adaption to elevated temperatures. Elevated temperature schemes were applied to wheat to study the impact of combined stress on the plant-pathogen interaction, based on long-term climate data from Rothamsted Research, using transcriptomic, lipidomic and phenotypic analyses. Comparing non-infected and infected wheat plants under typical and elevated temperatures. Our initial analysis of the transcriptomic data indicates a delay in the development of Z. tritici, followed by its adaptation to the warmer environment. Once the infection was established, the fungus exhibited resilience to the impact of higher external temperatures. Our results indicate that temperature elevations associated with climate change directly impact plant-pathogen interactions. Furthermore, the study demonstrates a need for further detailed understanding to sustain crop resilience

Mean Annual Precipitation Explains Spatiotemporal Patterns of Cenozoic Mammal Beta Diversity and Latitudinal Diversity Gradients in North America

Spatial diversity patterns are thought to be driven by climate-mediated processes. However, temporal patterns of community composition remain poorly studied. We provide two complementary analyses of North American mammal diversity, using (i) a paleontological dataset (2077 localities with 2493 taxon occurrences) spanning 21 discrete subdivisions of the Cenozoic based on North American Land Mammal Ages (36 Ma – present), and (ii) climate space model predictions for 744 extant mammals under eight scenarios of future climate change. Spatial variation in fossil mammal community structure (b diversity) is highest at intermediate values of continental mean annual precipitation (MAP) estimated from paleosols (,450 mm/year) and declines under both wetter and drier conditions, reflecting diversity patterns of modern mammals. Latitudinal gradients in community change (latitudinal turnover gradients, aka LTGs) increase in strength through the Cenozoic, but also show a cyclical pattern that is significantly explained by MAP. In general, LTGs are weakest when continental MAP is highest, similar to modern tropical ecosystems in which latitudinal diversity gradients are weak or undetectable. Projections under modeled climate change show no substantial change in b diversity or LTG strength for North American mammals. Our results suggest that similar climate-mediated mechanisms might drive spatial and temporal patterns of community composition in both fossil and extant mammals. We also provide empirical evidence that the ecological processes on which climate space models are based are insufficient for accurately forecasting long-term mammalian response to anthropogenic climate change and inclusion of historical parameters may be essential