Studies investigating the direct and indirect relationships between psychosocial factors (i.e. attitudes, beliefs and values), health related behaviour (diet and physical activity) and gestational weight gain are increasing. Ubiquitin inhibitor To date heterogeneity of psychosocial measurement tools has limited research progress in this area, preventing measurement of effects by meta-analysis techniques. To conduct a revalidation analysis of a Weight Related Behaviours Questionnaire, originally developed by Kendall, Olson and Frangelico within the United States of America and assess its performance for use within the Australian context. A revalidation study using Exploratory Factor Analysis was undertaken to assess the factor structure and internal consistency of the six psychosocial scales of the Weight Related Behaviours Questionnaire, within the Woman and Their Children's Health (WATCH), pregnancy cohort. The questionnaire was self-completed between 18 - 20 weeks gestation. Psychosocial factors included; Weight locus ofse scales into a shorter psychosocial measurement tool.Although at least two genetically distinct groups, or genomospecies, have been well documented for Campylobacter concisus, no phenotype has yet been identified for their differentiation and thus formal description as separate species. C. concisus has been isolated from a variety of sites in the human body, including saliva and stool samples from both healthy and diarrhoeic individuals. We evaluated the ability of a range of whole genome-based tools to distinguish between the two C. concisus genomospecies (GS) using a collection of 190 C. concisus genomes. Nine genomes from related Campylobacter species were included in some analyses to provide context. Analyses incorporating sequence analysis of multiple ribosomal genes generated similar levels of C. concisus GS discrimination as genome-wide comparisons. The C. concisus genomes formed two groups; GS1 represented by ATCC 33237T and GS2 by CCUG 19995. The two C. concisus GS were separated from the nine genomes of related species. GS1 and GS2 also differed in G+C content with medians of 37.56% and 39.51%, respectively. The groups are consistent with previously established GS and are supported by DNA reassociation results. Average Nucleotide Identity using MUMmer (ANIm) and Genome BLAST Distance Phylogeny generated in silico DNA-DNA hybridisation (isDDH) (against ATCC 33237T and CCUG 19995), plus G+C content provides cluster-independent GS discrimination suitable for routine use. Pan-genomic analysis identified genes specific to GS1 and GS2. WGS data and genomic species identification methods support the existence of two GS within C. concisus. These data provide genome-level metrics for strain identification to genomospecies level. We investigated the prevalence rates of childhood trauma, depressive symptoms, anxiety symptoms and suicidal behaviors among Vietnamese adolescents and compared the differences between institutionalized adolescents (IAs) and noninstitutionalized adolescents (NIAs). In addition, we examined the multidimensional associations between childhood trauma and psychopathology among IAs. Five hundred forty-six participants were recruited into two groups (IAs and NIAs) matched by age, sex and grade. They completed a childhood trauma questionnaire, depression scale, anxiety scale, and 3 suicide-related questions. The chi-squared test and logistic regressions were performed. The prevalences of anxiety symptoms and suicide attempts among IAs was higher than that among NIAs (25.6 % vs 14.7 %, p = 0.001 and 8.1 vs 3.7, p = 0.03, respectively), while the prevalences of other psychopathologies did not differ significantly. In the IA group, high prevalences of victimization through physical abuse (22.3 %), emotional neglect (57.9 %), and physical neglect (72.9 %) were found, and 58.6 % of the participants had experienced more than one type of trauma. These figures were significantly higher in IAs than in NIAs. Depression and suicidal ideation were more strongly correlated with emotional abuse and neglect than other types of maltreatment, while anxiety, suicide planning and suicide attempts were more strongly correlated with physical abuse. IAs who experienced more than two categories of trauma or greater intensity of trauma were more susceptible to developing depression, anxiety, and suicidal behaviors. Childhood trauma was multidimensionally associated with adverse psychological outcomes. We suggest that various aspects of childhood trauma, as well as psychopathologies, must be routinely assessed.Childhood trauma was multidimensionally associated with adverse psychological outcomes. We suggest that various aspects of childhood trauma, as well as psychopathologies, must be routinely assessed.Coolia tropicalis is a species of benthic and epiphytic toxic algae, which can produce phycotoxins that intoxicate marine fauna. In this study, the potential toxic effects of C. tropicalis on fish were investigated using larval marine medaka (Oryzias melastigma) as a model to evaluate fish behavior, physiological performance, and stress-induced molecular responses to exposure to two sublethal concentrations (LC10 and LC20) of hydrophilic algal lysates. Exposure to C. tropicalis lysates inhibited swimming activity, activated spontaneous undirected locomotion, altered nerve length ration, and induced early development abnormalities, such as shorter eye diameter, body as well as axon length. Consistent with these abnormalities, changes in the expression of genes associated with apoptosis (CASPASE-3 and BCL-2), the inflammatory response (IL-1β and COX-2), oxidative stress (SOD), and energy metabolism (ACHE and VHA), were also observed. This study advances our understanding of the mechanisms of C. tropicalis toxicity in marine fish in the early life stages and contributes to future ecological risk assessments of toxic benthic dinoflagellates.Osteoporosis, which is a common disorder associated with low bone mineral density (BMD), is one of the primary reasons for hip fracture. It not only limits mobility, but also makes the patient suffer from pain. Unlike traditional methods, which require both expensive equipment and long scanning times, this study aims to develop a novel technique employing a convolutional neural network (CNN) directly on radiographs of the hips to evaluate BMD. To construct the dataset, X-ray photographs of lower limbs and dual-energy X-ray absorptiometry (DXA) results of the hips of patients were collected. The core of this research is a deep learning-based model that was trained using the pre-processed X-rays images of 510 hips as the input data and the BMD values obtained from DXA as the standard reference. To improve performance quality, the radiographs of the hips were processed with a Sobel algorithm to extract the gradient magnitude maps, and an ensemble artificial neural network which analyses the outputs of CNN models corresponding to three Singh sites and biological parameters was utilized.