Deductive Reasoning and Social Anxiety:Evidence for a Fear-confirming Belief Bias

This study investigated the relationship between belief bias and fear of negative evaluation. Belief bias refers to a bias in deductive reasoning that acts to confirm rather than falsify prior beliefs. Participants (N = 52) with varying levels of fear of negative evaluation completed a belief bias task by means of linear syllogisms, with stimuli covering both social anxiety convictions and factual neutral statements. A linear relationship was found between fear of negative evaluation and belief bias for the social anxiety conviction category. No differences in reasoning were found for the neutral syllogisms. These results support the view that highly socially anxious individuals do not have a reasoning abnormality, but do have difficulty judging anxiogenic information as false and reassuring convictions-contradicting information as true. Such belief bias logically prevents dysfunctional cognitions from being corrected, thereby sustaining phobic fear

Improving Decision Making in Ocean Race Sailing using Sensor Data

While in some sports, experiences have been gained using traditional information and decision support systems, using large sensor datasets for sports analytics is a recent phenomenon. Using sensor data to arrive at effective decision support for sports encompasses various challenges: (1) Sensor data needs to be understood, processed, cleaned and efficiently stored and (2) appropriate data analytics and visualization techniques need to be selected and evaluated with the sports professionals. Few elaborate case studies are available that report on development of decision support systems for professional sports teams. No comprehensive set of generically applicable design principles has been devised to develop analytics support for sports teams based on sensor data. We deploy a design science methodology to arrive at a sailing analytics architecture and race evaluation dashboard in close collaboration with a professional sailing team participating in an ocean race around the world

Treating PTSD with Imagery Rescripting in underweight eating disorder patients: a multiple baseline case series study

BACKGROUND: Eating disorder patients with posttraumatic stress disorder have worse treatment results regarding their eating disorder than patients without posttraumatic stress disorder. Many eating disorder patients with co-morbid posttraumatic stress disorder symptoms are not treated for posttraumatic stress disorder symptoms during an underweight state. We propose that treatment of posttraumatic stress disorder is possible for underweight patients and that their trauma symptoms decrease with the use of Imagery Rescripting. We also investigated whether treatment of trauma influences eating disorder pathology in general and the process of weight gain specifically. METHOD: Ten patients in clinical treatment (BMI 14–16.5) participated. A multiple baseline design was used, with baseline varying from 6 to 10 weeks, a 6-week treatment phase, a 3-week follow-up period and a 3-month follow-up measurement. Data were analysed with mixed regression. RESULTS: Evidence was found that Imagery Rescripting had strong positive effects on posttraumatic stress disorder symptoms without interfering with eating disorder treatment. Positive effects were also found on a range of secondary emotional and cognitive measures. CONCLUSION: Imagery Rescripting of traumatic memories is a possible and safe intervention for underweight eating disorder patients. It also had positive clinical effects. Trial registration Netherlands trial register (NTR) Trial NL5906 (NTR6094). Date of registration 09/23/2016. https://www.trialregister.nl/trial/5906

Transforming protein engineering: advanced integration of deep learning and 3DM technology for superior protein function predictions

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