Machine learning stochastic design models.

Due to the fluid nature of the early stages of the design process, it is difficult to obtain deterministic product design evaluations. This is primarily due to the flexibility of the design at this stage, namely that there can be multiple interpretations of a single design concept. However, it is important for designers to understand how these design concepts are likely to fulfil the original specification, thus enabling the designer to select or bias towards solutions with favourable outcomes. One approach is to create a stochastic model of the design domain. This paper tackles the issues of using a product database to induce a Bayesian model that represents the relationships between the design parameters and characteristics. A greedy learning algorithm is presented and illustrated using a simple case study

Development of a simple information pump.

The Information Pump (IP) is a methodology that aims to counter the problems arising from traditional subjective product data collection. The IP is a game theory based process that aims to maximise information extracted from a panel of subjects, while maintaining their interest in the process through a continuous panelist scoring method. The challenge with implementing this arises from the difficulty in executing the 'game'. In its original format, there is an assumption that the game is played with each player using their own PC to interact with the process. While this in theory allows information and scores to flow in a controlled manner between the players, it actually provides a major barrier to the wider adoption of the IP method. This barrier is two-fold: it is costly and complex, and it is not a natural manner for exchanging information. The core objective is to develop a low cost version of the IP method. This will use the game theory approach to maintain interest among participants and maximise information extraction, but remove the need for each participant to have their own PC interface to the game. This will require replacing both the inter-player communication method and the score keeping/reporting

Racial discrimination and depressive symptoms among African-American men: The mediating and moderating roles of masculine self-reliance and John Henryism

Despite well-documented associations between everyday racial discrimination and depression, mechanisms underlying this association among African-American men are poorly understood. Guided by the Transactional Model of Stress and Coping, we frame masculine self-reliance and John Henryism as appraisal mechanisms that influence the relationship between racial discrimination, a source of significant psychosocial stress, and depressive symptoms among African-American men. We also investigate whether the proposed relationships vary by reported discrimination-specific coping responses. Participants were 478 African-American men recruited primarily from barbershops in the West and South regions of the United States. Multiple linear regression and Sobel-Goodman mediation analyses were used to examine direct and mediated associations between our study variables. Racial discrimination and masculine self-reliance were positively associated with depressive symptoms, though the latter only among active responders. John Henryism was negatively associated with depressive symptoms, mediated the masculine self-reliance- depressive symptom relationship, and among active responders moderated the racial discrimination-depressive symptoms relationship. Though structural interventions are essential, clinical interventions designed to mitigate the mental health consequences of racial discrimination among African-American men should leverage masculine self-reliance and active coping mechanisms

Efficacy of clozapine versus second-generation antipsychotics in people with treatment-resistant schizophrenia: a systematic review and individual patient data meta-analysis.

Clozapine is recommended by national and international guidelines for people with treatment-resistant schizophrenia. However, available meta-analyses of randomised controlled trials have not shown superior efficacy of clozapine when compared with other second-generation antipsychotics, with heterogeneity identified between the original studies. We aimed to use individual patient data (IPD) to account for potential reasons of variability and to synthesise an adjusted estimate for the difference in efficacy between clozapine and other second-generation antipsychotics for treatment-resistant schizophrenia. In this systematic review and IPD meta-analysis, we searched the Cochrane Schizophrenia Group's Study-Based Register from inception to Jan 24, 2024, and previous reviews for blinded randomised controlled trials comparing clozapine with other second-generation antipsychotics in participants with treatment-resistant schizophrenia. Trials were eligible if they included patients with treatment-resistant schizophrenia and had a duration of at least 6 weeks. IPD were requested from trial investigators. The primary outcome was change in overall schizophrenia symptoms as measured by the Positive and Negative Syndrome Scale (PANSS) between clozapine and other second-generation antipsychotics after 6-8 weeks of treatment. The effect size measure for the primary outcome was mean difference with 95% credible interval (CrI). We fitted a Bayesian random-effects IPD meta-regression model that included duration of illness, baseline severity, and sex as potential prognostic factors or treatment effect modifiers. Confidence in the evidence was assessed using Grading of Recommendations, Assessment, Development, and Evaluation (GRADE). People with lived experience of mental illness were involved in this study. This study is registered with PROSPERO, CRD42021254986. We screened 13 876 references and included 19 studies with data for 1599 participants; IPD were available for 12 of 19 trials (n=1052; mean age 37·67 years [SD 11·24; range 10-66]; 348 [33·08%] women and 704 [66·92%] men). Data on ethnicity were not available. The estimated mean difference in change from baseline PANSS total score was -0·64 points (95% CrI -3·97 to 2·63; τ=2·68) in favour of other second-generation antipsychotics. Shorter duration of illness and higher baseline severity were prognostic factors associated with a larger reduction in symptoms, but neither those factors nor sex were found to modify the relative effect between clozapine and other second-generation antipsychotics. The confidence in the evidence was graded as very low. This IPD meta-analysis found a small and uncertain advantage of other second-generation antipsychotics, mainly olanzapine and risperidone, and so did not provide evidence for superior efficacy of clozapine compared with other second-generation antipsychotics in treatment-resistant schizophrenia. It is limited by unavailability of IPD for some studies, uncaptured sources of variance, and uncertainty due to premature study discontinuation. Given the side-effects of clozapine, the observed uncertainty regarding clozapine's superiority warrants prudent use and further research. German Ministry of Education and Research

The United Kingdom Infrared Telescope Infrared Deep Sky Survey first data release

The First Data Release (DR1) of the United Kingdom Infrared Telescope Infrared Deep Sky Survey (UKIDSS) took place on 2006 July 21. The UKIDSS is a set of five large near-infrared surveys, covering a complementary range of areas, depths and Galactic latitudes. The DR1 is the first large release of survey-quality data from the UKIDSS and includes 320 deg(2) of multicolour data to (Vega) K = 18, complete (depending on the survey) in three to five bands from the set ZYJHK, together with 4 deg(2) of deep JK data to an average depth K = 21. In addition, the release includes a similar quantity of data with incomplete filter coverage. In JHK, in regions of low extinction, the photometric uniformity of the calibration is better than 0.02 mag in each band. The accuracy of the calibration in ZY remains to be quantified, and the same is true of JHK in regions of high extinction. The median image full width at half-maximum across the data set is 0.82 arcsec. We describe changes since the Early Data Release in the implementation, pipeline and calibration, quality control, and archive procedures. We provide maps of the areas surveyed, and summarize the contents of each of the five surveys in terms of filters, areas and depths. The DR1 marks completion of 7 per cent of the UKIDSS seven-year goals.Peer reviewe

Animal models for COVID-19

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the aetiological agent of coronavirus disease 2019 (COVID-19), an emerging respiratory infection caused by the introduction of a novel coronavirus into humans late in 2019 (first detected in Hubei province, China). As of 18 September 2020, SARS-CoV-2 has spread to 215 countries, has infected more than 30 million people and has caused more than 950,000 deaths. As humans do not have pre-existing immunity to SARS-CoV-2, there is an urgent need to develop therapeutic agents and vaccines to mitigate the current pandemic and to prevent the re-emergence of COVID-19. In February 2020, the World Health Organization (WHO) assembled an international panel to develop animal models for COVID-19 to accelerate the testing of vaccines and therapeutic agents. Here we summarize the findings to date and provides relevant information for preclinical testing of vaccine candidates and therapeutic agents for COVID-19