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Examining the Role of Insight, Social Support, and Barriers in Treatment Engagement in Individuals Diagnosed with Psychotic Disorders
No full textTreatment engagement for individuals with psychotic disorders is often low, and engagement is considered critical to improving outcomes and reducing chronicity of the illness. Lack of insight in psychosis has been associated with poor treatment engagement and is considered a core feature of psychotic disorders. One factor that may improve treatment engagement in psychosis, perhaps for individuals with low insight, is social support. Social support may improve treatment engagement by promoting insight or overriding the challenges of engagement related to insight, however, the relationships between insight, social support, and treatment engagement are not clear. The current study hypothesized that greater insight and social support would result in better treatment engagement, and that greater social support would enhance treatment engagement for individuals with low insight. Sixty-eight (N = 68) participants with a psychotic disorder completed clinical interview and self-report measures. A relationship between insight and treatment engagement was not found, thus, social support did not moderate a relationship between the two. Participants reported on multiple treatment barriers impacting treatment engagement. As such, the impact of barriers to treatment may require consideration before accurately measuring the above constructs
Psychosocial Burden and Suicidality in Epilepsy: A Public Health Concern
No full textThe increased risk for psychosocial burden and suicidality in people with epilepsy compared to the general population is a well-established global public health concern. Suicidality risk is also increased in patients with functional seizures. The timely identification of patients at highest risk for psychosocial burden and self-harm is vital. This can pose a significant challenge for multidisciplinary clinicians caring for people with epilepsy. Early identification of social stressors and comorbid psychiatric contributors via screening are required to assist with the development of predictive models for self-harm in epilepsy; and subsequent options for treatment and the provision of adjunct supports in the community may help lead to evidence-based suicide prevention strategies for people with epilepsy. Too often, pervasive and common social stressors leading to self-harm go unrecognized and undertreated. Elevating clinician awareness of patient subpopulations at highest risk for suicide, and informing on the advent of evidence-based self-management programs targeting depression and self-harm presents an opportunity to increase suicide prevention in epilepsy
A Comparison of Energy Dispersive Spectroscopy in Transmission Scanning Electron Microscopy with Scanning Transmission Electron Microscopy
No full textThe objective of this work was to explore the capabilities of a field emission gun scanning electron microscope (FEG-SEM) equipped with a transmission scanning electron detector (TSEM) and energy dispersive spectroscopy (EDS) to identify nanoscale chemical heterogeneities in a gas atomization reaction synthesis (GARS) steel sample. The results of this analysis were compared to the same study conducted with scanning transmission electron microscopy (STEM) with EDS mapping. TSEM-EDS was performed using the standard spectral analysis approach, i.e., pixel-by-pixel identification of elements from the spectra, and a new principal component analysis approach to detect regions of similar spectra before identifying elemental contributions to each spectrum. It was determined that features over 200 nm were detectable with the TSEM-EDS standard spectra analysis technique but the PCA analysis approach was necessary for observing smaller features that contained trace elements. Monte Carlo simulations indicated that the spatial resolution expected from a 150 nm thick foil was consistent with those observed in experimental analysis. Simulations also confirm that thinner samples enable higher spatial resolution scans although smaller interaction volumes may require longer acquisition times
Error-Based Dynamic Velocity Range of Piv Processing Algorithms
No full textThe ability of PIV processing algorithms to accurately determine velocity vectors across the range of motion present in PIV images is characterized by the algorithm’s dynamic velocity range (DVR). Conventionally, the DVR of PIV is defined using the ratio between the maximum and minimum resolvable particle displacements, with the minimum based on the uncertainty in the location of a single particle in the optical system. In this work, it is demonstrated that this definition is inadequate in practice, as it ignores many factors which affect the accuracy of an algorithm when determining small displacements, and the error in vectors with small magnitudes in actual flows is often many times larger than the theoretical minimum. A more useful criterion for determining the DVR of a PIV setup is proposed that depends on conditional errors, using synthetic data to produce a known ground truth. The introduced error-based DVR accounts for the effect of multiple flow velocity scales present in a PIV experiment as well as multi-particle effects. It is found that the practical, error-based DVR of cross-correlation-based PIV is highly experiment-dependent and much lower than the widely accepted value of O102, typically O100-101. The findings from the synthetic data results are corroborated using experimental PIV data to approximate the DVR via a deviation-based approach when the ground truth is unknown
Thermodynamic Water Activity Explains the Unusual Electrochemical Stability of Aqueous Deep Eutectic Solvents
No full textThe presence of water in nonaqueous deep eutectic solvent (DES) electrolytes has been debated in recent years, with efforts ranging from its complete removal to willful addition. It was shown that controlled amounts of water can be beneficial, as it not only enhances the physicochemical properties of these electrolytes but also has no significant detrimental effects on their electrochemical stability. Despite these advantages, there is still limited understanding of how water interacts with DES systems at the molecular level. This study examines the water activity in ethylene glycol and glycerol, as well as their binary mixtures with choline chloride to form the DESs ethaline and glyceline, respectively. In this work, we show that the high electrochemical stability of glyceline is related to its lower water activity compared to ethaline and can be attributed to the robust H-bonding network formed by the three hydroxyl groups of glycerol. Its 3D H-bond network effectively integrates water molecules within its solvent structure, reducing degradation and maintaining stability at higher water contents. The deviations from the ideal Raoult\u27s law behavior are reflected in the water activity and activity coefficients, which highlight the intricate H-bond interactions within DES-water mixtures. Water acts like a lubricant within the more viscous DES mixtures without being detrimental to their electrochemical performance. The presented results emphasize the necessity of customizing DES-water compositions to enhance their performance as electrolytes, especially in flow battery applications where electrochemical stability, ionic conductivity, and fluidity are of utmost importance
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