Testing learning models of rule-based judgment

The dataset reports participants judgments, the features of the judgment objects, and the correct criterion for every subject in every learning trial. After 200 trials, the task structure changes. Detailed explanations and coding methods can be found in the ReadMe-files under the Data.zip folder

Testing learning models of rule-based judgment

The dataset reports participants judgments, the features of the judgment objects, and the correct criterion for every subject in every learning trial. After 200 trials, the task structure changes. Detailed explanations and coding methods can be found in the ReadMe-files under the Data.zip folder

Dataset for "Are there sex differences in the variability of fasting metabolism?"

This dataset contains data for 208 participants who participated in one of seven crossover studies. Data are basal (overnight fasted and rested) metabolite (glucose, lactate, non-esterified fatty acid, triacylglycerol) and insulin concentrations, resting metabolic rate and body mass

Training materials and participant handouts for "Multidimensional individualised physical activity (Mi-PACT): a technology-enabled randomised controlled trial to promote physical activity in primary care"

ABSTRACT Background: Low physical activity is a major public health problem. New cost-effective approaches that stimulate meaningful long-term changes in physical activity are required, especially within primary care settings. It is becoming clear that there are various dimensions to physical activity with independent health benefits. Advances in technology mean that it is now possible to generate multidimensional physical activity ‘profiles’ that provide a more complete representation of physical activity and offer a variety of options that can be tailored to the individual. Mi-PACT is a randomised controlled trial designed to examine whether personalised multidimensional physical activity feedback and self-monitoring alongside trainer-supportive sessions increases physical activity and improves health outcomes in at-risk men and women. Methods/design: We aim to recruit 216 patients from within primary care aged 40 to 70 years and at medium or high risk of cardiovascular disease and/or type II diabetes mellitus. Adopting an unequal allocation ratio (intervention: control) of 2:1, participants will be randomised to one of two groups, usual care or the intervention. The control group will receive usual care from their general practitioner (GP) and standardised messages about physical activity for health. The intervention group will receive physical activity monitors and access to a web-based platform for a 3-month period to enable self-monitoring and the provision of personalised feedback regarding the multidimensional nature of physical activity. In addition, this technology-enabled feedback will be discussed with participants on five occasions during supportive one-to-one coaching sessions across the 3-month intervention. The primary outcome measure is physical activity, which will be directly assessed using activity monitors for a 7-day period. Secondary measures include weight loss, fat mass, and markers of metabolic control, motivation and well-being. All measures will be performed at baseline, post intervention and at 12-month follow-up. Discussion: Results from this study will provide insight into the effects of integrated physical activity profiling and self-monitoring combined with in-person support on physical activity and health outcomes in patients at risk of future chronic disease. Trial registration: Current Controlled Trials ISRCTN18008011

Dataset for “Ketogenic diet but not free-sugar restriction alters glucose tolerance, lipid metabolism, peripheral tissue phenotype, and gut microbiome: RCT”

The dataset includes demographic data of participants (n=60) randomised to one of three groups: 1-CONTROL (moderate sugar) - reflecting the composition of a typical European diet 2-Low sugar - the same composition of a typical European diet but with <5% energy intake from sugar 3-Low carbohydrate - low carbohydrate diet with <5% energy intake from sugar, replacing carbohydrate energy with fat All laboratory trials took place at the University of Bath. Participants consumed these diets for period of 12 weeks, with laboratory visits at baseline, at week 4, and at week 12. The types of data that were collected during the trials are as follows: Age Height Body mass Body composition (by Dual-energy x-ray absorptiometry) Resting metabolic rate Postprandial substrate oxidation Exercise metabolism Physical activity energy expenditure Fasting and postprandial concentrations of circulating metabolites (e.g., glucose, lactate triacylglycerol) and hormones (e.g. insulin, C-peptide) Nuclear magnetic resonance spectroscopy measures of plasma (e.g., lipoprotein size and particle number) Skeletal muscle protein levels Adipose tissue mRNA levels Fasting haemotology (e.g., white blood cell count, haematocrit, haemoglobin concentration) Urinary acetoacetate concentrations Self-reported energy intake Visual analogue scales for appetite and mood Continuous glucose monitorin

Dataset for "Molecular Adaptations of Adipose Tissue to 6 weeks of Morning Fasting vs Daily Breakfast Consumption in Lean and Obese Adults"

This study assessed molecular responses of human subcutaneous abdominal adipose tissue (SCAT) to 6 weeks of morning fasting. Forty-nine healthy lean (n = 29) and obese (n = 20) adults provided SCAT biopsies before and after 6 weeks of morning fasting (FAST; 0 kcal until 12.00 h) or daily breakfast consumption (BFAST; ≥700 kcal before 11.00 h). Biopsies were analysed for mRNA levels of selected genes, and GLUT4 and Akt protein content. This dataset includes individual participant data for the following outcome measures: Adipose tissue mRNA expression of genes involved in insulin signalling, AMPK signalling, circadian rhythms, lipid metabolism, glucose metabolism, inflammation/cytokine signalling, and mitochondrial signalling; adipose tissue protein content of GLUT4, Akt1 and Akt2, basal and insulin-stimulated Akt phosphorylation, insulin-stimualted adipose tissue glucose uptake. This trial was registered as ISRCTN31521726

Dataset for “Lack of optimistic biases in depression and social anxiety is reflected in reduced positive self-beliefs, but distinct processing of social feedback”

This study aimed to examine learning of social evaluations associated with psychopathology. We used two independent datasets (n = 552 and n = 807) to assess the relationship between depression (PHQ-9), social anxiety (BFNE), and learning of positive and negative evaluations about the self and an other

A scoping review of regularization in decision science

We review the literature on regularization in decision science. Materials contain a protocol for article search, exclusion, and coding; the initial article set (without duplicates) and the coded article set

Low-loss single-mode performance in anti resonant hollow-core fibers

All data for the results of publicatio

Dataset for "Effect of Novel Technology-Enabled Multidimensional Physical Activity Feedback in Primary Care Patients at Risk of Chronic Disease – the MIPACT study"

The Multidimensional Individualized Physical ACTivity (MIPACT) trial was a parallel-group, randomized clinical trial that recruited patients at risk of cardiovascular disease and/or type II diabetes between May 2014 and June 2015 from five primary care practices in the UK. Data collection was completed in November 2016. Intervention group participants (n=120) received personal multidimensional PA feedback using a sophisticated wearable monitor and customized web-app for 3 months, and were offered five health trainer-led sessions. All participants received standardized information regarding PA. Control group participants (n=84) received no further intervention. Among the 204 participants randomized (mean [SD] age, 64 [10] years; 46% women) 186 (90%) completed the study. The dataset includes demographic information and objectively-assessed PA dimensions and health-related outcomes at 3 and 12 months