Black students' experiences of transformation at UCT : a photovoice study

South African higher education has faced much structural transformation since the end of apartheid, and yet remains a racialised space. It is clear that despite a stated commitment to transformation in university policy nationally, in reality there is much ambivalence around transformation. In debates around transformation, black students are frequently represented in stigmatising ways. These negative representations are part of a discourse that holds the increasing numbers of black students responsible for lowering university standards. When black students encounter these discourses it can affect their self-esteem and academic performance. This study thus explores black students’ experiences of transformation at the University of Cape Town (UCT). Over six months, 10 black African and coloured UCT students participated in a photovoice research project. They participated in focus groups and produced personal reflections, photographs and written stories representing their experiences and perspectives on transformation in higher education in a previously white University. This data was analysed using thematic analysis, within a critical psychological framework, specifically decolonising psychologies. The participants’ everyday experiences of UCT were explored, and four themes were evident: the narrowness of UCT’s transformation focus; the prevalence of racial stereotypes on campus; the Eurocentric focus of the university; and the racialisation of space on campus. Ultimately, it appears that whiteness is dominant at UCT. This detrimentally affects many black students who are required to learn within this often unwelcoming white space, and who internalise the negative stereotypes they encounter. Nevertheless, many black students succeed. The participants in this study employed a variety of coping mechanisms to help them navigate through life at UCT. They were also able to employ strategies to resist the dominant discourse of black inferiority, and to re-present themselves and transformation on their own terms

The AIFS evaluation of the 2006 family law reforms : a summary

In 2006, the Australian Government, through the Attorney- General\u27s Department (AGD) and the Department of Families, Housing, Community Services and Indigenous Affairs (FaHCSIA), commissioned the Australian Institute of Family Studies (AIFS) to undertake an evaluation of the impact of the 2006 changes to the family law system: Evaluation of the 2006 Family Law Reforms (Kaspiew et al., 2009) (the Evaluation). This article provides a summary of the key findings of the Evaluation.<br /

Family violence : key findings from the evaluation of the 2006 family law reforms

The different types, prevalence and consequences of family violence, as demonstrated by the Australian Institute of Family Studies\u27 Evaluation of the 2006 Family Law Reforms, are discussed. Family violence is shown to be an extremely complex phenomenon, which affects the mental and social well-being of the children. Hence, different measures that can be adopted to deal with pre- and post-separation periods and child care problems are also analyzed.<br /

Ligand-Induced Modulation of the Free-Energy Landscape of G Protein-Coupled Receptors Explored by Adaptive Biasing Techniques

Extensive experimental information supports the formation of ligand-specific conformations of G protein-coupled receptors (GPCRs) as a possible molecular basis for their functional selectivity for signaling pathways. Taking advantage of the recently published inactive and active crystal structures of GPCRs, we have implemented an all-atom computational strategy that combines different adaptive biasing techniques to identify ligand-specific conformations along pre-determined activation pathways. Using the prototypic GPCR β2-adrenergic receptor as a suitable test case for validation, we show that ligands with different efficacies (either inverse agonists, neutral antagonists, or agonists) modulate the free-energy landscape of the receptor by shifting the conformational equilibrium towards active or inactive conformations depending on their elicited physiological response. Notably, we provide for the first time a quantitative description of the thermodynamics of the receptor in an explicit atomistic environment, which accounts for the receptor basal activity and the stabilization of different active-like states by differently potent agonists. Structural inspection of these metastable states reveals unique conformations of the receptor that may have been difficult to retrieve experimentally

The Banff 2019 Kidney Meeting Report (I): Updates on and clarification of criteria for T cell– and antibody-mediated rejection

The XV. Banff conference for allograft pathology was held in conjunction with the annual meeting of the American Society for Histocompatibility and Immunogenetics in Pittsburgh, PA (USA) and focused on refining recent updates to the classification, advances from the Banff working groups, and standardization of molecular diagnostics. This report on kidney transplant pathology details clarifications and refinements to the criteria for chronic active (CA) T cell–mediated rejection (TCMR), borderline, and antibody-mediated rejection (ABMR). The main focus of kidney sessions was on how to address biopsies meeting criteria for CA TCMR plus borderline or acute TCMR. Recent studies on the clinical impact of borderline infiltrates were also presented to clarify whether the threshold for interstitial inflammation in diagnosis of borderline should be i0 or i1. Sessions on ABMR focused on biopsies showing microvascular inflammation in the absence of C4d staining or detectable donor-specific antibodies; the potential value of molecular diagnostics in such cases and recommendations for use of the latter in the setting of solid organ transplantation are presented in the accompanying meeting report. Finally, several speakers discussed the capabilities of artificial intelligence and the potential for use of machine learning algorithms in diagnosis and personalized therapeutics in solid organ transplantation

Inactivation of a Single Copy of Crebbp Selectively Alters Pre-mRNA Processing in Mouse Hematopoietic Stem Cells

Global expression analysis of fetal liver hematopoietic stem cells (FL HSCs) revealed the presence of unspliced pre-mRNA for a number of genes in normal FL HSCs. In a subset of these genes, Crebbp+/− FL HSCs had less unprocessed pre-mRNA without a corresponding reduction in total mRNA levels. Among the genes thus identified were the key regulators of HSC function Itga4, Msi2 and Tcf4. A similar but much weaker effect was apparent in Ep300+/− FL HSCs, indicating that, in this context as in others, the two paralogs are not interchangeable. As a group, the down-regulated intronic probe sets could discriminate adult HSCs from more mature cell types, suggesting that the underlying mechanism is regulated with differentiation stage and is active in both fetal and adult hematopoiesis. Consistent with increased myelopoiesis in Crebbp hemizygous mice, targeted reduction of CREBBP abundance by shRNA in the multipotent EML cell line triggered spontaneous myeloid differentiation in the absence of the normally required inductive signals. In addition, differences in protein levels between phenotypically distinct EML subpopulations were better predicted by taking into account not only the total mRNA signal but also the amount of unspliced message present. CREBBP thus appears to selectively influence the timing and degree of pre-mRNA processing of genes essential for HSC regulation and thereby has the potential to alter subsequent cell fate decisions in HSCs

The United States COVID-19 Forecast Hub dataset

Academic researchers, government agencies, industry groups, and individuals have produced forecasts at an unprecedented scale during the COVID-19 pandemic. To leverage these forecasts, the United States Centers for Disease Control and Prevention (CDC) partnered with an academic research lab at the University of Massachusetts Amherst to create the US COVID-19 Forecast Hub. Launched in April 2020, the Forecast Hub is a dataset with point and probabilistic forecasts of incident cases, incident hospitalizations, incident deaths, and cumulative deaths due to COVID-19 at county, state, and national, levels in the United States. Included forecasts represent a variety of modeling approaches, data sources, and assumptions regarding the spread of COVID-19. The goal of this dataset is to establish a standardized and comparable set of short-term forecasts from modeling teams. These data can be used to develop ensemble models, communicate forecasts to the public, create visualizations, compare models, and inform policies regarding COVID-19 mitigation. These open-source data are available via download from GitHub, through an online API, and through R packages