Article presents a study conducted at Gold Coast University Hospital that aimed to define and improve relational aspects of trauma care and facilitate co-creation of targeted interventions designed to improve team relationships and performance.

Article on the effect of noise and detector sensitivity on a dynamical process and the inverse power law and Mittag-Leffler interevent time survival probabilities.

Article presents study in which pulse amplitude-modulated Chl fluorescence imaging and surface electrical potential measurements accompanied by pharmacological treatments were employed to study stimuli-induced electrical signals in leaves from a broad range of plant species and in Arabidopsis thaliana mutants.

Patent relating to an instrument, system and method for automated low cost atmospheric measurements.

Appendix used to adapt the Interpersonal Decentering scoring system developed for thematic apperceptive techniques to score oral stream of consciousness personal narratives used by Molly Tucker for her master's thesis.

This article examines how self-transcending human values affect perceptions of immigrant threat. Results show that benevolence and universalism tend to affect perceived immigrant threat in opposite directions. A part of individuals’ anti-immigrant bias does not stem from strictly self-interested motivations, as often proposed, but by a sense of loyalty to the interests of our immediate contacts.

This article highlights the application of GitLab in ingesting material into an institutional repository and the folder-based deposit system that is used to move deposited resources through the ingestion process.

Article describes the analysis of Arabidopsis metabolomics data sets acquired by a consortium that includes five analytical laboratories, bioinformaticists, and biostatisticians, which aims to develop and validate metabolomics as a hypothesis-generating functional genomics tool.

This article investigates the short- and medium-range structural features of sodium aluminosilicate glasses with various P₂O₅ (0–7 mol%) content and Al/Na ratios ranging from 0.667 to 2.000 by using molecular dynamics simulations. Based on the simulated structural information, a modified random network model for P₂O₅-bearing sodium aluminosilicate glass has been proposed, which could be useful to optimize the mobility of sodium ions and design novel functional glass compositions.

Book chapter on the prediction of partition coefficients and permeability of drug molecules in biological systems with Abraham model solute descriptors derived from measured solubilities and water-to-organic solvent partition coefficients.

This book chapter discusses the prediction of toxicity, sensory responses and biological responses with the Abraham model.

Authors of the article state that airborne particulate matter (PM) can accumulate on feather surfaces and alter feather appearance, so they quantified PM accumulation on Rock Pigeon feathers and analyzed the spectral properties of extracted particulates. Their findings suggest that wild birds could incur an urban pollution penalty as PM accumulation has the potential to alter feather properties.

Article proposes a Social- and Content-aware Video content delivery Prediction method (SCVP) to address the problem of predicting whether a video will be watched by a user for efficient video content delivery in mobile social networks.

This article describes the use of matrix-assisted laser/desorption ionization-mass spectrometry imaging (MALDI-MSI) to study the spatial distribution of two major lipid species, triacylglycerols and phosphatidylcholines.

This article presents research to sequence the transcriptome of H. vastatrix race XXXIII to obtain a database for use as a reference in studies of the interaction between the fungus and coffee. In addition, the authors aim to identify differentially expressed genes that have the potential to act as effector proteins during the interaction.

Article describes how airborne hyperspectral data has high spectral-spatial information, but mining and using this information effectively is still a great challenge. Therefore, a 3D-1D-CNN model was proposed for feature extraction in complex urban with hyperspectral images affected by cloud shadows.