Psychological health and attitude toward Christianity: a study among pupils attending Catholic schools in the Netherlands

This study examines the wider relevance of recent research conducted in England, Northern Ireland and Hong Kong concerning the association between religion and psychological health among young people, by administering translations of the same measures to a sample of 980 pupils attending Catholic secondary schools in the Netherlands. These pupils completed the short-form Revised Eysenck Personality Questionnaire together with the Francis Scale of Attitude toward Christianity. The data confirmed the key finding from previous research that a more positive attitude toward Christianity is associated with lower scores recorded on the psychoticism scale. The implications of these findings are discussed for religious educators

Spiritual character traits and leadership in the school workplace: An exploration of the relationship between spirituality and school leadership in some private and religiously affiliated schools in South Africa

The South African educational system is in a crisis. This situation places huge demands on school principals and school management teams, and raises many theoretical and empirical questions. Transformational leadership is needed to deal with these challenges and complexities. Not all school leaders show the same level of transformational leadership. Some leaders conform more to other leadership styles. The aim of this article is to explore the relation between spiritual character traits and leadership styles from a theoretical and empirical perspective. The theoretical part focuses on the conceptualisation of leadership (styles) and spirituality. The empirical research consists of a web-based survey conducted in some private and religiously affiliated schools in South Africa in 2011–2012. The Multifactor Leadership Questionnaire (MLQ) and Cloninger’s shortened Temperament and Character Inventory (TCI-140) were used to measure leadership styles and spiritual traits respectively. Statistical procedures included confirmatory factor analysis, correlation (Pearson rho) and regression analysis. Key findings are that leaders of private schools in South Africa mostly conform to a transformative leadership style, disagree with corrective leadership and strongly disagree with passive-avoidant leadership. Regarding the spiritual character traits they agree with self-transcendence and strongly agree with self-directedness. Spiritual character traits are strong predictors for transformational and passive-avoidant leadership. Higher levels of self-transcendence and self-directedness are strong predictors for transformational leadership. Our research suggests that traditional religious variables are less important as predictors of leadership style than spiritual character traits

Combined Peak Reduction and Self-Consumption Using Proximal Policy Optimization

Residential demand response programs aim to activate demand flexibility at the household level. In recent years, reinforcement learning (RL) has gained significant attention for these type of applications. A major challenge of RL algorithms is data efficiency. New RL algorithms, such as proximal policy optimisation (PPO), have tried to increase data efficiency. Additionally, combining RL with transfer learning has been proposed in an effort to mitigate this challenge. In this work, we further improve upon state-of-the-art transfer learning performance by incorporating demand response domain knowledge into the learning pipeline. We evaluate our approach on a demand response use case where peak shaving and self-consumption is incentivised by means of a capacity tariff. We show our adapted version of PPO, combined with transfer learning, reduces cost by 14.51% compared to a regular hysteresis controller and by 6.68% compared to traditional PPO.Comment: Submitted to Elsevier Energy and A

StructDiffusion: Object-Centric Diffusion for Semantic Rearrangement of Novel Objects

Robots operating in human environments must be able to rearrange objects into semantically-meaningful configurations, even if these objects are previously unseen. In this work, we focus on the problem of building physically-valid structures without step-by-step instructions. We propose StructDiffusion, which combines a diffusion model and an object-centric transformer to construct structures out of a single RGB-D image based on high-level language goals, such as "set the table." Our method shows how diffusion models can be used for complex multi-step 3D planning tasks. StructDiffusion improves success rate on assembling physically-valid structures out of unseen objects by on average 16% over an existing multi-modal transformer model, while allowing us to use one multi-task model to produce a wider range of different structures. We show experiments on held-out objects in both simulation and on real-world rearrangement tasks. For videos and additional results, check out our website: http://weiyuliu.com/StructDiffusion/

Religion and Conflict Attribution

Religion in a pluralistic society can play a dual role with regard to conflict. It can promote either violence or peace. Religion and Conflict Attribution examines the causes of interreligious conflict as perceived by Christian, Muslim and Hindu college students in Tamil Nadu, India. Readership: Academic institutions, researchers, post-graduate students and religious authorities interested in the scientific study of religion. The findings are of specific relevance to educationalists dealing with interreligious and intercultural issues

The Ghent Psychotherapy Study (GPS) on the differential efficacy of supportive-expressive and cognitive behavioral interventions in dependent and self-critical depressive patients : study protocol for a randomized controlled trial

Background: Major depressive disorder is a leading cause of disease burden worldwide, indicating the importance of effective therapies. Outcome studies have shown overall efficacy of different types of psychotherapy across groups, yet large variability within groups. Although patient characteristics are considered crucial in understanding outcome, they have received limited research attention. This trial aims at investigating the interaction between therapeutic approach (pre-structured versus explorative) and the personality style of patients (dependent versus self-critical), which is considered a core underlying dimension of depressive pathology. Methods/design: This study is a pragmatic stratified (dependent and self-critical patients) parallel trial with equal randomization (allocation 1: 1) conducted in Flanders, Belgium. One hundred and four patients will be recruited and randomized to either 16-20 sessions of cognitive behavioral therapy for depression (pre-structured approach) or 16-20 sessions of short-term psychodynamic psychotherapy for depression (explorative approach) conducted by trained psychotherapists in private practices. The primary outcome is the severity of depression as measured by the Hamilton Rating Scale for Depression at completion of therapy. Secondary outcome measures include self-reported depressive and other symptoms, interpersonal functioning, idiosyncratic complaints, and the presence of the diagnosis of depression. Additional measures include biological measures, narrative material (sessions, interviews), and health care costs. Discussion: This trial presents the test of an often-described, yet hardly investigated interaction between important personality dimensions and therapeutic approach in the treatment of depression. Results could inform therapists on how to match psychotherapeutic treatments to specific personality characteristics of their patients

Design and characterisation of food grade powders and inks for microstructure control using 3D printing

Additive Manufacturing techniques have been previously applied to food materials with direct consumption in mind, as opposed to creating structural ingredients as shown in this study. First, semi-crystalline cellulose was mechanically treated by ball milling to render an amorphous powder, which has been characterised. Requirements for the subsequent recrystallization of this powder with a view to structuring have been determined through the control of moisture and thermal energy. Food inks based on xanthan gum have been formulated to enable successful jetting with a FujiFilm Dimatix ink jet printer. The polymer inks were subsequently jetted onto the amorphous cellulose powder to observe powder-binder interactions. Material combinations and parameters were optimised to produce cohesive geometric structures. The results of this study are promising when looking towards using these materials in a binder jetting additive manufacturing technique using designer particles and inks to create structures for use in food products