135 research outputs found
Structural Levels of Mental Illness Stigma and Discrimination
Most of the models that currently describe processes related to mental illness stigma are based on individual-level psychological paradigms. In this article, using a sociological paradigm, we apply the concepts of structural discrimination to broaden our understanding of stigmatizing processes directed at people with mental illness. Structural, or institutional, discrimination includes the policies of private and governmental institutions that intentionally restrict the opportunities of people with mental illness. It also includes major institutions' policies that are not intended to discriminate but whose consequences nevertheless hinder the options of people with mental illness. After more fully defining intentional and unintentional forms of structural discrimination, we provide current examples of each. Then we discuss the implications of structural models for advancing our understanding of mental illness stigma, including the methodological challenges posed by this paradigm
Seismological structure of the 1.8 Ga Trans-Hudson Orogen of North America
Precambrian tectonic processes are debated: what was the nature and scale of orogenic events on the younger, hotter, and more ductile Earth? Northern Hudson Bay records the Paleoproterozoic collision between the Western Churchill and Superior plates—the ∼1.8 Ga Trans-Hudson Orogeny (THO)—and is an ideal locality to study Precambrian tectonic structure. Integrated field, geochronological, and thermobarometric studies suggest that the THO was comparable to the present-day Himalayan-Karakoram-Tibet Orogen (HKTO). However, detailed understanding of the deep crustal architecture of the THO, and how it compares to that of the evolving HKTO, is lacking. The joint inversion of receiver functions and surface wave data provides new Moho depth estimates and shear velocity models for the crust and uppermost mantle of the THO. Most of the Archean crust is relatively thin (∼39 km) and structurally simple, with a sharp Moho; upper-crustal wave speed variations are attributed to postformation events. However, the Quebec-Baffin segment of the THO has a deeper Moho (∼45 km) and a more complex crustal structure. Observations show some similarity to recent models, computed using the same methods, of the HKTO crust. Based on Moho character, present-day crustal thickness, and metamorphic grade, we support the view that southern Baffin Island experienced thickening during the THO of a similar magnitude and width to present-day Tibet. Fast seismic velocities at >10 km below southern Baffin Island may be the result of partial eclogitization of the lower crust during the THO, as is currently thought to be happening in Tibet
The pre-implementation process of the continuity of midwifery care research strategy: An implementation science methodologically guided initiative
In 2017, the continuity of midwifery care model was introduced as the way forward in Scottish maternity and neonatal services. There is no shared research strategy aligning research needs with an agenda, setting goals and revising plans. In this paper, we outline the systematic multi-actor and integrated knowledge translation process that frames and informs our initiative to develop a continuity of midwifery care research strategy, focusing on establishing a comprehensive mission, vision, and research topics. Guided by the pre-implementation process as part of the implementation science methodology, we engaged with a Scottish group of stakeholders, including service providers, academics, managers/policymakers, service users’ advocates and midwifery students during targeted activities to contribute to a widely held perspective. We collected data using an online poll, subgroup brainstorming sessions, plenary group discussions, evaluation and video recording to frame and inform the research mission, vision and study topics. Data collection tools included word clouds, brainstorming sheets, observation notes, ranking, evaluation forms and recording transcripts. The outcomes of a stepwise analytic approach of mapping, synthesising, and using the data to develop a continuity of midwifery care research direction and focus will inform future funding applications, studies and projects. The pre-implementation process and actions described in this paper can serve as an example of structuring comprehensive research strategies in other settings, cultures, domains or contexts
Brain 3T magnetic resonance imaging in neonates:features and incidental findings from a research cohort enriched for preterm birth
BACKGROUND AND OBJECTIVES: The survival rate and patterns of brain injury after very preterm birth are evolving with changes in clinical practices. Additionally, incidental findings can present legal, ethical and practical considerations. Here, we report MRI features and incidental findings from a large, contemporary research cohort of very preterm infants and term controls.METHODS: 288 infants had 3T MRI at term-equivalent age: 187 infants born <32 weeks without major parenchymal lesions, and 101 term-born controls. T1-weighted, T2-weighted and susceptibility-weighted imaging were used to classify white and grey matter injury according to a structured system, and incidental findings described.RESULTS: Preterm infants: 34 (18%) had white matter injury and 4 (2%) had grey matter injury. 51 (27%) infants had evidence of intracranial haemorrhage and 34 (18%) had punctate white matter lesions (PWMLs). Incidental findings were detected in 12 (6%) preterm infants. Term infants: no term infants had white or grey matter injury. Incidental findings were detected in 35 (35%); these included intracranial haemorrhage in 22 (22%), periventricular pseudocysts in 5 (5%) and PWMLs in 4 (4%) infants. From the whole cohort, 10 (3%) infants required referral to specialist services. CONCLUSIONS: One-fifth of very preterm infants without major parenchymal lesions have white or grey matter abnormalities at term-equivalent age. Incidental findings are seen in 6% of preterm and 35% of term infants. Overall, 3% of infants undergoing MRI for research require follow-up due to incidental findings. These data should help inform consent procedures for research and assist service planning for centres using 3T neonatal brain MRI for clinical purposes.</p
Computational approaches identify a transcriptomic fingerprint of drug-induced structural cardiotoxicity
Structural cardiotoxicity (SCT) presents a high-impact risk that is poorly tolerated in drug discovery unless significant benefit is anticipated. Therefore, we aimed to improve the mechanistic understanding of SCT. First, we combined machine learning methods with a modified calcium transient assay in human-induced pluripotent stem cell-derived cardiomyocytes to identify nine parameters that could predict SCT. Next, we applied transcriptomic profiling to human cardiac microtissues exposed to structural and non-structural cardiotoxins. Fifty-two genes expressed across the three main cell types in the heart (cardiomyocytes, endothelial cells, and fibroblasts) were prioritised in differential expression and network clustering analyses and could be linked to known mechanisms of SCT. This transcriptomic fingerprint may prove useful for generating strategies to mitigate SCT risk in early drug discovery
Computational approaches identify a transcriptomic fingerprint of drug-induced structural cardiotoxicity
Structural cardiotoxicity (SCT) presents a high-impact risk that is poorly tolerated in drug discovery unless significant benefit is anticipated. Therefore, we aimed to improve the mechanistic understanding of SCT. First, we combined machine learning methods with a modified calcium transient assay in human-induced pluripotent stem cell-derived cardiomyocytes to identify nine parameters that could predict SCT. Next, we applied transcriptomic profiling to human cardiac microtissues exposed to structural and non-structural cardiotoxins. Fifty-two genes expressed across the three main cell types in the heart (cardiomyocytes, endothelial cells, and fibroblasts) were prioritised in differential expression and network clustering analyses and could be linked to known mechanisms of SCT. This transcriptomic fingerprint may prove useful for generating strategies to mitigate SCT risk in early drug discovery
Muses
Utah State University\u27s music therapy students present a concert on Muses.https://digitalcommons.usu.edu/music_programs/1138/thumbnail.jp
Muses
Utah State University\u27s music therapy students present a concert on Muses.https://digitalcommons.usu.edu/music_programs/1138/thumbnail.jp
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