The effects of the iPlayClean Education Programme on doping attitudes and susceptibility to use banned substances among high-level adolescent athletes from the UK: A cluster-randomised control trial

Background: This study examined the effects of the iPlayClean anti-doping intervention on attitudes towards doping and susceptibility, and whether delivery mode affected the results. Methods: A total of 1,081 high-level UK athletes (14-18 years old, 904 males, 177 females) were cluster-randomised to the control (11 teams/organisations/schools, 314 athletes), face-to-face group presentation (8 teams/organisations/schools, 254 athletes), online (11 teams/organisations/schools, 251 athletes), or face-to-face presentation with online access (5 teams/organisations/schools, 262 athletes). Results: Compared to the control group, all modes of the iPlayClean anti-doping education programme reduced favourable attitudes towards doping immediately after the intervention, which was sustained across all intervention groups 8 weeks later. All delivery modes impacted doping susceptibility immediately after the intervention, in comparison to the control group, but the effects were only sustained for the face-to-face presentation group. Conclusion: Contrary to findings within previous anti-doping interventions, we have shown that doping attitudes can be changed and that the results can be sustained across all modes of delivery, 8 weeks later. Research is required to assess for how long these changes are sustained, and how often anti-doping education should be delivered to high-level athletes to reinforce clean play values

Is Insight Always the Same? A Protocol Analysis of Insight in Compound Remote Associate Problems

Compound Remote Associate (CRA) problems have been used to investigate insight problem solving using both behavioral and neuroimaging techniques. However, it is unclear to what extent CRA problems exhibit characteristics of insight such as impasses and restructuring. CRA problem-solving characteristics were examined in a study in which participants solved CRA problems while providing concurrent verbal protocols. The results show that solutions subjectively judged as insight by participants do exhibit some characteristics of insight. However, the results also show that there are at least two different ways in which people experience insight when solving CRA problems. Sometimes problems are solved and judged as insight when the solution is the first thing considered, but these solutions do not exhibit any characteristics of insight aside from the “Aha!” experience. In other cases, the solution is derived after a longer period of problem solving, and the solution process more closely resembles insight as it is has been traditionally defined in the literature. The results show that separating these two types of solution processes may provide a better understanding of the behavioral and neuroanatomical correlates of insight solutions

Learning about Cyber Deception through Simulations: Predictions of Human Decision Making with Deceptive Signals in Stackelberg Security Games

To improve cyber defense, researchers have developed algorithms to allocate limited defense resources optimally. Through signaling theory, we have learned that it is possible to trick the human mind when using deceptive signals. The present work is an initial step towards developing a psychological theory of cyber deception. We use simulations to investigate how humans might make decisions under various conditions of deceptive signals in cyber-attack scenarios. We created an Instance-Based Learning (IBL) model of the attacker decisions using the ACT-R cognitive architecture. We ran simulations against the optimal deceptive signaling algorithm and against four alternative deceptive signal schemes. Our results show that the optimal deceptive algorithm is more effective at reducing the probability of attack and protecting assets compared to other signaling conditions, but it is not perfect. These results shed some light on the expected effectiveness of deceptive signals for defense. The implications of these findings are discussed

Rationale, design, and baseline characteristics in Evaluation of LIXisenatide in Acute Coronary Syndrome, a long-term cardiovascular end point trial of lixisenatide versus placebo

BACKGROUND: Cardiovascular (CV) disease is the leading cause of morbidity and mortality in patients with type 2 diabetes mellitus (T2DM). Furthermore, patients with T2DM and acute coronary syndrome (ACS) have a particularly high risk of CV events. The glucagon-like peptide 1 receptor agonist, lixisenatide, improves glycemia, but its effects on CV events have not been thoroughly evaluated. METHODS: ELIXA (www.clinicaltrials.gov no. NCT01147250) is a randomized, double-blind, placebo-controlled, parallel-group, multicenter study of lixisenatide in patients with T2DM and a recent ACS event. The primary aim is to evaluate the effects of lixisenatide on CV morbidity and mortality in a population at high CV risk. The primary efficacy end point is a composite of time to CV death, nonfatal myocardial infarction, nonfatal stroke, or hospitalization for unstable angina. Data are systematically collected for safety outcomes, including hypoglycemia, pancreatitis, and malignancy. RESULTS: Enrollment began in July 2010 and ended in August 2013; 6,068 patients from 49 countries were randomized. Of these, 69% are men and 75% are white; at baseline, the mean ± SD age was 60.3 ± 9.7 years, body mass index was 30.2 ± 5.7 kg/m(2), and duration of T2DM was 9.3 ± 8.2 years. The qualifying ACS was a myocardial infarction in 83% and unstable angina in 17%. The study will continue until the positive adjudication of the protocol-specified number of primary CV events. CONCLUSION: ELIXA will be the first trial to report the safety and efficacy of a glucagon-like peptide 1 receptor agonist in people with T2DM and high CV event risk