2,440 research outputs found

    It’s not all about autism: The emerging landscape of anti-vaccination sentiment on Facebook

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    Background: Due in part to declining vaccination rates, in 2018 over 20 states reported at least one case of measles, and over 40,000 cases have been confirmed in Europe. Anti-vaccine posts on social media may be facilitating anti-vaccination behaviour. This study aimed to systematically characterize (1) individuals known to publicly post anti-vaccination content on Facebook, (2) the information they convey, and (3) the spread of this content. Methods: Our data set consisted of 197 individuals who posted anti-vaccination comments in response to a message promoting vaccination. We systematically analysed publicly-available content using quantitative coding, descriptive analysis, social network analysis, and an in-depth qualitative assessment. The final codebook consisted of 26 codes; Cohen’s Îș ranged 0.71-1.0 after double-coding. Results: The majority (89%) of individuals identified as female. Among 136 individuals who divulged their location, 36 states and 8 other countries were represented. In a 2-mode network of individuals and topics, modularity analysis revealed 4 distinct sub-groups labelled as “trust,” “alternatives,” “safety,” and “conspiracy.” For example, a comment representative of “conspiracy” is that poliovirus does not exist and that pesticides caused clinical symptoms of polio. An example from the “alternatives” sub-group is that eating yogurt cures human papillomavirus. Deeper qualitative analysis of all 197 individuals’ profiles found that these individuals also tended to post material against other health-related practices such as water fluoridation and circumcision. Conclusions: Social media outlets may facilitate anti-vaccination connections and organization by facilitating the diffusion of centuries old arguments and techniques. Arguments against vaccination are diverse but remain consistent within sub-groups of individuals. It would be valuable for health professionals to leverage social networks to deliver more effective, targeted messages to different constituencies

    Topological Surface States Protected From Backscattering by Chiral Spin Texture

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    Topological insulators are a new class of insulators in which a bulk gap for electronic excitations is generated by strong spin orbit coupling. These novel materials are distinguished from ordinary insulators by the presence of gapless metallic boundary states, akin to the chiral edge modes in quantum Hall systems, but with unconventional spin textures. Recently, experiments and theoretical efforts have provided strong evidence for both two- and three-dimensional topological insulators and their novel edge and surface states in semiconductor quantum well structures and several Bi-based compounds. A key characteristic of these spin-textured boundary states is their insensitivity to spin-independent scattering, which protects them from backscattering and localization. These chiral states are potentially useful for spin-based electronics, in which long spin coherence is critical, and also for quantum computing applications, where topological protection can enable fault-tolerant information processing. Here we use a scanning tunneling microscope (STM) to visualize the gapless surface states of the three-dimensional topological insulator BiSb and to examine their scattering behavior from disorder caused by random alloying in this compound. Combining STM and angle-resolved photoemission spectroscopy, we show that despite strong atomic scale disorder, backscattering between states of opposite momentum and opposite spin is absent. Our observation of spin-selective scattering demonstrates that the chiral nature of these states protects the spin of the carriers; they therefore have the potential to be used for coherent spin transport in spintronic devices.Comment: to be appear in Nature on August 9, 200

    The Association between Social Media Use and Eating Concerns among US Young Adults

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    Background. Although the etiology of eating concerns is multi-factorial, exposure to media messages is considered to be a contributor. While traditional media, such as television and magazines, have been examined extensively in relation to risk for eating concerns, the influence of social media has received relatively less attention. Objective. To examine the association between social media use and eating concerns in a large, nationally representative sample of young adults. Design. Cross-sectional survey. Participants/setting. Participants were 1765 young adults ages 19-32, who were randomly selected from a national probability-based online non-volunteer panel. Outcome measures. An eating concerns scale was adapted from two validated measures: the SCOFF Questionnaire and the Eating Disorder Screen for Primary Care (ESP). Social media use was assessed using both volume (time per day) and frequency (visits per week). Statistical analyses. To examine associations between eating concerns and social media use, ordered logistic regression was used, controlling for all covariates. Results. Compared to those in the lowest quartile, participants in the highest quartiles of time per day and visits per week had significantly greater odds of having eating concerns (AOR = 2.18, 95% CI = 1.50 - 3.17 and AOR = 2.55, 95% CI = 1.72 - 3.78, respectively). There were significant overall linear associations between the social media use variables and eating concerns (P < 0.001). Conclusions. The results from this study indicate a strong and consistent association between social media use and eating concerns in a nationally-representative sample of young adults ages 19 to 32. This association was apparent whether social media use was measured using time per day or visits per week. Further research should assess the temporality of these associations. It would also be useful to examine more closely the influence of specific characteristics of social media use—including content-related and contextual features

    PainDroid: An android-based virtual reality application for pain assessment

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    Earlier studies in the field of pain research suggest that little efficient intervention currently exists in response to the exponential increase in the prevalence of pain. In this paper, we present an Android application (PainDroid) with multimodal functionality that could be enhanced with Virtual Reality (VR) technology, which has been designed for the purpose of improving the assessment of this notoriously difficult medical concern. Pain- Droid has been evaluated for its usability and acceptability with a pilot group of potential users and clinicians, with initial results suggesting that it can be an effective and usable tool for improving the assessment of pain. Participant experiences indicated that the application was easy to use and the potential of the application was similarly appreciated by the clinicians involved in the evaluation. Our findings may be of considerable interest to healthcare providers, policy makers, and other parties that might be actively involved in the area of pain and VR research

    Pennsylvania policymakers’ knowledge, attitudes and likelihood for action regarding waterpipe tobacco smoking and electronic nicotine delivery systems

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    INTRODUCTION Use of waterpipe tobacco smoking (WTS, or hookah smoking) and electronic nicotine delivery systems (ENDS, such as e-cigarettes) is rapidly increasing. However, legislatures have been slow to update policy measures related to them. Therefore, we aimed to assess knowledge, attitudes and likelihood to take future action regarding WTS and ENDS among Pennsylvania legislators. METHODS We approached all Standing Members of key Pennsylvania House and Senate health and welfare committees to complete a survey about substances of abuse, including WTS and ENDS. Closed-ended knowledge, attitude and action items used a 100-point scale. Responses to open-ended items were assessed using thematic analysis by three independently working researchers. RESULTS We received responses from 13 of 27 eligible policymakers (48%). Participants answered a mean of only 27% (SD=20%) of knowledge items correctly. When asked to rank by priority eight issues in substance abuse, WTS ranked eighth (least urgent) and ENDS ranked fifth. Participants reported low likelihood to introduce legislation on WTS (mean=29, median=25) and/or ENDS (mean=28, median=10). Thematic analysis revealed that participants readily acknowledged lack of understanding of WTS and ENDS, and were eager for additional information. CONCLUSIONS Policymakers exhibit a lack of knowledge concerning newer forms of tobacco and nicotine delivery systems and consider them to be relatively low legislative priorities. However, respondents expressed a desire for more information, suggesting the potential for public health entities to promote effective policy development via improved dissemination of information

    Glucose-6-phosphate dehydrogenase contributes to the regulation of glucose uptake in skeletal muscle

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    The development of skeletal muscle insulin resistance is an early physiological defect, yet the intracellular mechanisms accounting for this metabolic defect remained unresolved. Here, we have examined the role of glucose-6-phosphate dehydrogenase (G6PDH) activity in the pathogenesis of insulin resistance in skeletal muscle. Methods Multiple mouse disease states exhibiting insulin resistance and glucose intolerance, as well as obese humans defined as insulin-sensitive, insulin-resistant, or pre-diabetic, were examined. Results We identified increased glucose-6-phosphate dehydrogenase (G6PDH) activity as a common intracellular adaptation that occurs in parallel with the induction of insulin resistance in skeletal muscle and is present across animal and human disease states with an underlying pathology of insulin resistance and glucose intolerance. We observed an inverse association between G6PDH activity and nitric oxide synthase (NOS) activity and show that increasing NOS activity via the skeletal muscle specific neuronal (n)NOS&mu; partially suppresses G6PDH activity in skeletal muscle cells. Furthermore, attenuation of G6PDH activity in skeletal muscle cells via (a) increased nNOS&mu;/NOS activity, (b) pharmacological G6PDH inhibition, or (c) genetic G6PDH inhibition increases insulin-independent glucose uptake. Conclusions We have identified a novel, previously unrecognized role for G6PDH in the regulation of skeletal muscle glucose metabolism. <br /

    Clinical and genetic characterisation of dystrophin-deficient muscular dystrophy in a family of Miniature Poodle dogs

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    Four full-sibling intact male Miniature Poodles were evaluated at 4–19 months of age. One was clinically normal and three were affected. All affected dogs were reluctant to exercise and had generalised muscle atrophy, a stiff gait and a markedly elevated serum creatine kinase activity. Two affected dogs also showed poor development, learning difficulties and episodes of abnormal behaviour. In these two dogs, investigations into forebrain structural and metabolic diseases were unremarkable; electromyography demonstrated fibrillation potentials and complex repetitive discharges in the infraspinatus, supraspinatus and epaxial muscles. Histopathological, immunohistochemical and immunoblotting analyses of muscle biopsies were consistent with dystrophin-deficient muscular dystrophy. DNA samples were obtained from all four full-sibling male Poodles, a healthy female littermate and the dam, which was clinically normal. Whole genome sequencing of one affected dog revealed a >5 Mb deletion on the X chromosome, encompassing the entire DMD gene. The exact deletion breakpoints could not be experimentally ascertained, but we confirmed that this region was deleted in all affected males, but not in the unaffected dogs. Quantitative polymerase chain reaction confirmed all three affected males were hemizygous for the mutant X chromosome, while the wildtype chromosome was observed in the unaffected male littermate. The female littermate and the dam were both heterozygous for the mutant chromosome. Forty-four Miniature Poodles from the general population were screened for the mutation and were homozygous for the wildtype chromosome. The finding represents a naturally-occurring mutation causing dystrophin-deficient muscular dystrophy in the dog

    Parametric study of EEG sensitivity to phase noise during face processing

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    &lt;b&gt;Background: &lt;/b&gt; The present paper examines the visual processing speed of complex objects, here faces, by mapping the relationship between object physical properties and single-trial brain responses. Measuring visual processing speed is challenging because uncontrolled physical differences that co-vary with object categories might affect brain measurements, thus biasing our speed estimates. Recently, we demonstrated that early event-related potential (ERP) differences between faces and objects are preserved even when images differ only in phase information, and amplitude spectra are equated across image categories. Here, we use a parametric design to study how early ERP to faces are shaped by phase information. Subjects performed a two-alternative force choice discrimination between two faces (Experiment 1) or textures (two control experiments). All stimuli had the same amplitude spectrum and were presented at 11 phase noise levels, varying from 0% to 100% in 10% increments, using a linear phase interpolation technique. Single-trial ERP data from each subject were analysed using a multiple linear regression model. &lt;b&gt;Results: &lt;/b&gt; Our results show that sensitivity to phase noise in faces emerges progressively in a short time window between the P1 and the N170 ERP visual components. The sensitivity to phase noise starts at about 120–130 ms after stimulus onset and continues for another 25–40 ms. This result was robust both within and across subjects. A control experiment using pink noise textures, which had the same second-order statistics as the faces used in Experiment 1, demonstrated that the sensitivity to phase noise observed for faces cannot be explained by the presence of global image structure alone. A second control experiment used wavelet textures that were matched to the face stimuli in terms of second- and higher-order image statistics. Results from this experiment suggest that higher-order statistics of faces are necessary but not sufficient to obtain the sensitivity to phase noise function observed in response to faces. &lt;b&gt;Conclusion: &lt;/b&gt; Our results constitute the first quantitative assessment of the time course of phase information processing by the human visual brain. We interpret our results in a framework that focuses on image statistics and single-trial analyses
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