The Role of Pretreatment Expectancy on Substance Use Outcomes in Women Mandated to Mindfulness-Based Relapse Prevention.

More than one-third of justice-involved individuals meet the criteria for substance use disorder (SUD). Many studies show that treatment expectancy predicts longitudinal SUD outcomes; however, results are inconsistent, and the role of treatment expectancy on SUD outcomes for individuals mandated to a mindfulness-based intervention (MBI) is unknown. Mindfulness-based relapse prevention (MBRP) has shown efficacy with justice-involved populations; however, enrollment in MBRP is typically voluntary.

Interactive effects of light quality and culturing temperature on algal cell size, biomass doubling time, protein content, and carbohydrate content.

Light management strategy can be used to improve algal biomass and nutrient production. However, the response of algal metabolism to different light qualities, especially their interaction with other environmental factors, is not well understood. This study focuses on the interactive effects of light quality and culturing temperature on algal protein content and carbohydrate content of C.

A Convolutional Neural Network for Enhancing the Detection of SSVEP in the Presence of Competing Stimuli.

Stimulus proximity has been shown to have an influence on the classification performance of a steady-state visual evoked potential based brain-computer interface (SSVEP-BCI). Multiple visual stimuli placed close to each other compete for neural representations leading to the effect of competing stimuli. In this study, we propose a convolutional neural network (CNN) based classification method to enhance the detection accuracy of SSVEP in the presence of competing stimuli.

Comparing user-dependent and user-independent training of CNN for SSVEP BCI.

Objective: We presented a comparative study on the training methodologies of a convolutional neural network (CNN) for the detection of steady-state visually evoked potentials (SSVEP). Two training scenarios were also compared: user-independent (UI) training and user-dependent (UD) training.

Approach: The CNN was trained in both UD and UI scenarios on two types of features for SSVEP classification: magnitude spectrum features (M-CNN) and complex spectrum features (C-CNN).

Mindfulness-based interventions for addictive behaviors: Implementation issues on the road ahead.

Over the past 35 years, mindfulness meditation practices have increasingly been integrated into Western medical settings. Research into the benefits of mindfulness-based interventions (MBIs) continues to expand, such that there are currently more than a dozen different protocolled MBIs for patients suffering from a variety of physical and psychological disorders. In the last decade, a number of MBIs specifically designed to treat addictive behaviors have been developed and tested.

Mindfulness-Based Relapse Prevention for Methadone Maintenance: A Feasibility Trial.

Objectives: As rates of opiate misuse rise in the United States, so do significant associated health and financial consequences to afflicted individuals, their families, and society at large. Methadone maintenance therapy (MMT) is one evidence-based approach to treating opiate addiction, yet supplemental psychosocial treatment to support this approach is lacking. Mindfulness-based relapse prevention (MBRP) has shown to be efficacious in various substance use populations, but has yet to be assessed with MMT clients.

Increased operating room time in patients with obesity during primary total knee arthroplasty: conflicts for scheduling.

Obesity is associated with increased complications related to total knee arthroplasty (TKA), but the relationship between body mass index (BMI) and operating room time during TKA is unknown. A total of 454 unilateral primary TKAs (2005-2009) were reviewed and categorized by BMI (normal weight, 18.5-25 kg/m(2); overweight, 25-30 kg/m(2); obese class I, 30-<35 kg/m(2); class II, 35-40 kg/m(2); class III, >40 kg/m(2)).