Understanding motivations underlying acts of hatred are essential for developing strategies to prevent such extreme behavioral expressions of prejudice (EBEPs) against marginalized groups. In this ...work, we investigate the motivations underlying EBEPs as a function of moral values. Specifically, we propose EBEPs may often be best understood as morally motivated behaviors grounded in people's moral values and perceptions of moral violations. As evidence, we report five studies that integrate spatial modeling and experimental methods to investigate the relationship between moral values and EBEPs. Our results, from these U.S. based studies, suggest that moral values oriented around group preservation are predictive of the county-level prevalence of hate groups and associated with the belief that extreme behavioral expressions of prejudice against marginalized groups are justified. Additional analyses suggest that the association between group-based moral values and EBEPs against outgroups can be partly explained by the belief that these groups have done something morally wrong.
Research has shown that accounting for moral sentiment in natural language can yield insight into a variety of on- and off-line phenomena such as message diffusion, protest dynamics, and social ...distancing. However, measuring moral sentiment in natural language is challenging, and the difficulty of this task is exacerbated by the limited availability of annotated data. To address this issue, we introduce the Moral Foundations Twitter Corpus, a collection of 35,108 tweets that have been curated from seven distinct domains of discourse and hand annotated by at least three trained annotators for 10 categories of moral sentiment. To facilitate investigations of annotator response dynamics, we also provide psychological and demographic metadata for each annotator. Finally, we report moral sentiment classification baselines for this corpus using a range of popular methodologies.
We present the Gab Hate Corpus (GHC), consisting of 27,665 posts from the social network service gab.com, each annotated for the presence of “hate-based rhetoric” by a minimum of three annotators. ...Posts were labeled according to a coding typology derived from a synthesis of hate speech definitions across legal precedent, previous hate speech coding typologies, and definitions from psychology and sociology, comprising hierarchical labels indicating dehumanizing and violent speech as well as indicators of targeted groups and rhetorical framing. We provide inter-annotator agreement statistics and perform a classification analysis in order to validate the corpus and establish performance baselines. The GHC complements existing hate speech datasets in its theoretical grounding and by providing a large, representative sample of richly annotated social media posts.
Purpose:
To review evidence around design interventions that influence exiting attempts in dementia care units, informing architectural and clinical practice.
Background:
Built environment design is ...recognized as important in the care and management of responsive behaviors for those living with Alzheimer’s disease and other dementias in secured dementia care units (e.g., exiting attempts, agitation). The repetitious behavior of “walking with purpose” (previously termed wandering) in those with dementia has influenced safety-related architectural design components of dementia care units that decrease exiting attempts. Empirical literature addressing design interventions to prevent exiting for those with dementia is lacking and outdated.
Methods:
We sought to describe known design techniques through a topical analysis of experimental studies. A thorough search for empirical studies that assessed interior design interventions at exit doors within dementia care units was undertaken. The review included an extensive search for existing literature and a screening of each study identified for its relevance, quality, and applicability.
Results:
The experimental studies included in the review collectively assessed five interior design interventions at egress doorways: implementing horizontal and vertical floor grid patterns, mirrors, murals, conditioning responses to color cues, and camouflaging door hardware or vision panels. Why empirical studies have not continued more recently as built environment trends have shifted toward promoting meaningful and purposeful movement through design are considered. Advances in our understanding around the pathophysiology of dementia which might affect future design interventions related to egress are also identified.
Conclusion:
The built environment is an important part of dementia care, and further prospective research is needed on the role of design interventions in the context of exiting attempts within secured units and subsequent behavior outcomes.
Official reports of hate crimes in the US are under-reported relative to the actual number of such incidents. Further, despite statistical approximations, there are no official reports from a large ...number of US cities regarding incidents of hate. Here, we first demonstrate that event extraction and multi-instance learning, applied to a corpus of local news articles, can be used to predict instances of hate crime. We then use the trained model to detect incidents of hate in cities for which the FBI lacks statistics. Lastly, we train models on predicting homicide and kidnapping, compare the predictions to FBI reports, and establish that incidents of hate are indeed under-reported, compared to other types of crimes, in local press.
Objectives
Population prevalence studies of migraine report prevalence rates of between 2.6 and 21.7%, with an average of ~12%. However, migraine prevalence among neurologists is reported to be ...significantly higher, between 27.6% and 48.6%. Increasing knowledge of the protean manifestations of migraine may explain this difference. Similarly, under‐recognition of migraine in control groups may explain the lack of genetic and biomarker findings in this disorder. We therefore sought to determine the prevalence of migraine in an admixed group of individuals with varied knowledge of migraine symptomatology.
Methods
Attendees at the Australian and New Zealand Association of Neurologists Annual Scientific Meeting (ANZAN ASM) 2017 were surveyed anonymously. Those surveyed included three groups: neurologists, neurology trainees, and others including nonclinical researchers, members of lay organizations, and representatives of the pharmaceutical industry.
Results
In total, 313 of 606 attendees responded (51.7%). 65.9% of neurologist, 57.4% of trainee, and 52.5% of others respondents had a personal history of migraine, with the difference between neurologists and others being statistically significant (p = .03). Migraine in migraineurs and nonmigraine headache in nonmigraineurs were nearly all self‐diagnosed. Among neurologist migraineurs, 51.2% experienced migraine with aura and 43% migraine without aura.
Conclusions
Migraine prevalence is significantly higher in neurologists compared to non‐neurologists and at least 2–3 times higher than reported in population prevalence studies. This may be due to significant under‐recognition of migraine in non‐neurologists. This under‐recognition of migraine may significantly influence the search for genetic predictors and biomarkers of migraine.
Migraine population prevalence is reported as between 2.6% and 21.7%, with an average of ~12%, but prevalence in neurologists is reported to be higher compared to the general population. In this study, we aim to examine migraine prevalence among neurologists, neurology trainees, and non‐neurologists/trainees at a national neurology meeting. We found that migraine prevalence is significantly higher in neurologists compared to non‐neurologists and at least 2–3 times higher than reported in population prevalence studies, and this may be due to significant under‐recognition of migraine in non‐neurologists.
Abstract
Pulmonary fibrosis (PF) is a major public health problem with limited therapeutic options. There is a clear need to identify novel mediators of PF to develop effective therapeutics. Here we ...show that an ER protein disulfide isomerase, thioredoxin domain containing 5 (TXNDC5), is highly upregulated in the lung tissues from both patients with idiopathic pulmonary fibrosis and a mouse model of bleomycin (BLM)-induced PF. Global deletion of
Txndc5
markedly reduces the extent of PF and preserves lung function in mice following BLM treatment. Mechanistic investigations demonstrate that TXNDC5 promotes fibrogenesis by enhancing TGFβ1 signaling through direct binding with and stabilization of TGFBR1 in lung fibroblasts. Moreover, TGFβ1 stimulation is shown to upregulate TXNDC5 via ER stress/ATF6-dependent transcriptional control in lung fibroblasts. Inducing fibroblast-specific deletion of
Txndc5
mitigates the progression of BLM-induced PF and lung function deterioration. Targeting TXNDC5, therefore, could be a novel therapeutic approach against PF.
Tractography has created new horizons for researchers to study brain connectivity in vivo. However, tractography is an advanced and challenging method that has not been used so far for medical data ...analysis at a large scale in comparison to other traditional brain imaging methods. This work allows tractography to be used for large scale and high-quality medical analytics. BUndle ANalytics (BUAN) is a fast, robust, and flexible computational framework for real-world tractometric studies. BUAN combines tractography and anatomical information to analyze the challenging datasets and identifies significant group differences in specific locations of the white matter bundles. Additionally, BUAN takes the shape of the bundles into consideration for the analysis. BUAN compares the shapes of the bundles using a metric called bundle adjacency which calculates shape similarity between two given bundles. BUAN builds networks of bundle shape similarities that can be paramount for automating quality control. BUAN is freely available in DIPY. Results are presented using publicly available Parkinson's Progression Markers Initiative data.
The new bronchopulmonary dysplasia (BPD) grading system was developed based on its correlation with long-term respiratory and neurodevelopmental outcomes and may provide better personalized ...prognostication. Identifying early-life predictors for accurate BPD grade prediction may allow interventions to be tailored to individual needs. This study aimed to assess whether oxygenation index (OI) dynamics in the first three weeks of life are a predictor of BPD grade.
A single-center retrospective study was performed. Generalized additive mixed modeling was used to model OI trajectories for each BPD grade subgroup. A multinomial regression model was then developed to quantify the association between OI dynamics and BPD grade.
Two hundred fifty-four infants were identified for inclusion in the trajectory modeling. A total of 6,243 OI data points were available for modeling. OI trajectory estimates showed distinct patterns in the three groups, most prominent during the third week of life. The average daily OI change was -0.33 ± 0.52 (n = 85) in the No-BPD group, -0.04 ± 0.75 (n = 82) in the Low-Grade BPD group, and 0.22 ± 0.65 (n = 75) in the High-Grade BPD group (p < 0.001). A multinomial regression analysis showed the initial OI value and the average daily OI change both independently correlated with BPD grade outcomes after adjusting for birth gestation, birth weight z-score, sex, and the duration of invasive ventilation.
Early-life OI dynamics may be a useful independent marker for BPD grade prediction. Prospective studies may be warranted to further validate the findings.
Background The role of routine central lymph node dissection (CLND) for papillary thyroid cancer (PTC) remains controversial. The aim of this study was to evaluate the impact of routine CLND after ...total thyroidectomy (TTx) in the management of patients with PTC who were clinically node negative at presentation with emphasis on stimulated thyroglobulin (Tg) levels and reoperation rates. Methods This retrospective, multicenter, cohort study used pooled data from 3 international Endocrine Surgery units in Australia, the United States, and England. All study participants had PTC >1 cm without preoperative evidence of lymph node disease (cN0). Group A patients had TTx alone and group B had TTx with the addition of CLND. Results There were 606 patients included in the study. Group A had 347 patients and group B 259 patients. Stimulated Tg values were lower in group B before initial radioiodine ablation (15.0 vs 6.6 ng/mL; P = .025). There was a trend toward a lower Tg at final follow-up in group B (1.9 vs 7.2 ng/mL; P = .11). The rate of reoperation in the central compartment was lower in group B (1.5 vs 6.1%; P = .004). The number of CLND procedures required to prevent 1 central compartment reoperation was calculated at 20. Conclusion The addition of routine CLND in cN0 papillary thyroid carcinoma is associated with lower postoperative Tg levels and reduces the need for reoperation in the central compartment.
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