Assessing employee wellbeing in schools using a multifaceted approach: associations with physical health, life satisfaction, and professional thriving

Purpose: Drawing on recent advances in the field of positive psychology, we conducted a pilot evaluation of employee wellbeing using Seligman’s (2011) multidimensional PERMA (positive emotion, engagement, relationships, meaning, and accomplishment) model of flourishing. We analyzed associations between multiple aspects of employee wellbeing and three outcomes: physical health, life satisfaction, and professional thriving. Method: Employees (N = 153) from a large private school in Australia completed a survey with items theoretically relevant to the PERMA theory. Factor analyses recovered the expected five PERMA components and a negative emotion factor. Regression analyses estimated cross-sectional associations between the wellbeing factors and self-reported physical health, life satisfaction, and professional thriving (job satisfaction and organizational commitment). Results: Differential associations support the multidimensional approach to defining and measuring wellbeing. For example, staff with higher engagement and better relationships reported greater job satisfaction and organizational commitment. Conclusions: Multidimensional wellbeing assessments can help school administrators understand and improve staff wellbeing, supporting policy and practice designs that ultimately will promote wellness for all stakeholders in the education system.Margaret L. Kern, Lea Waters, Alejandro Adler, Mathew Whit

Biochar as a tool to reduce the agricultural greenhouse-gas burden – knowns, unknowns and future research needs

Agriculture and land use change has significantly increased atmospheric emissions of the non-CO2 green-house gases (GHG) nitrous oxide (N2O) and methane (CH4). Since human nutritional and bioenergy needs continue to increase, at a shrinking global land area for production, novel land management strategies are required that reduce the GHG footprint per unit of yield. Here we review the potential of biochar to reduce N2O and CH4 emissions from agricultural practices including potential mechanisms behind observed effects. Furthermore, we investigate alternative uses of biochar in agricultural land management that may significantly reduce the GHG-emissions-per-unit-of-product footprint, such as (i) pyrolysis of manures as hygienic alternative to direct soil application, (ii) using biochar as fertilizer carrier matrix for underfoot fertilization, biochar use (iii) as composting additive or (iv) as feed additive in animal husbandry or for manure treatment. We conclude that the largest future research needs lay in conducting life-cycle GHG assessments when using biochar as an on-farm management tool for nutrient-rich biomass waste streams

Identification of Reduced Host Transcriptomic Signatures for Tuberculosis Disease and Digital PCR-Based Validation and Quantification.

Recently, host whole blood gene expression signatures have been identified for diagnosis of tuberculosis (TB). Absolute quantification of the concentrations of signature transcripts in blood have not been reported, but would facilitate diagnostic test development. To identify minimal transcript signatures, we applied a transcript selection procedure to microarray data from African adults comprising 536 patients with TB, other diseases (OD) and latent TB (LTBI), divided into training and test sets. Signatures were further investigated using reverse transcriptase (RT)-digital PCR (dPCR). A four-transcript signature (GBP6, TMCC1, PRDM1, and ARG1) measured using RT-dPCR distinguished TB patients from those with OD (area under the curve (AUC) 93.8% (CI95% 82.2-100%). A three-transcript signature (FCGR1A, ZNF296, and C1QB) differentiated TB from LTBI (AUC 97.3%, CI95%: 93.3-100%), regardless of HIV. These signatures have been validated across platforms and across samples offering strong, quantitative support for their use as diagnostic biomarkers for TB