HIV prevention among female sex workers in Africa

Sex work occurs to meet the demand for sexual services and is a universal phenomenon. In Africa sex work takes many forms and is an important source of income for many women. Yet sex worker reproductive health needs remain largely unmet. The criminalisation of sex work; community and service provider stigma; violence; substance use and limited access to health services and prevention commodities contribute to the high HIV burden evident among female sex workers in Africa. Following UNAIDS’ three pillar approach to HIV prevention and sex work we present an overview of current opportunities, barriers and suggestions to improve HIV prevention policy and programming for sex work in Africa. Universal access to a comprehensive package of HIV services is the first pillar. Reproductive health commodities; voluntary and anonymous HIV counselling andtesting; treatment of sexually transmitted infections, HIV and opportunistic infections; harm reduction for substance use and psychosocial support services make up the recommended package of services. The second pillar is a sex worker-supportive environment. The inclusion of sex worker programmes within national HIV strategic planning; sex worker-led community mobilisation and the establishment of sex work community networks (comprised of sex workers, health service providers, law enforcers and other stakeholders) enable effective programme implementation and are recommended. The reduction of sex worker vulnerability and addressing structural issues form the final pillar. The decriminalisation of sex work; development of supportive policy; gender equality and economic development are key factors that need to be addressed to increase sex worker resilience. Evidence supports the public health benefit of human rights based approaches to HIV prevention; moralistic and restrictive policy and laws towards sex work are harmful and should be removed. The establishment of these pillars will increase sex worker safety and enhance the inclusiveness of the HIV response

The Perfect Misogynist Storm and The Electromagnetic Shape of Feminism: Weathering Brazil’s Political Crisis

In Brazil, the 2016 coup against Dilma Rousseff and the Worker’s Party (PT), and the subsequent jailing of former PT President Luis Ignacio da Silva (Lula), laid the groundwork for the 2018 election of ultra-conservative Jair Bolsonaro. In the perfect storm leading up to the coup, the conservative elite drew on deep-seated misogynist discourses to oust Dilma Rousseff, Brazil’s progressive first woman president, and the Worker’s Party she represented. Imprisoning Lula and preventing him from running solidified the effects of the coup and opened the field to the right wing. In this article, we track the roots of the elite’s 2016 power grab back to colonization and through various stages of Brazil’s political history. Tracing the contours of women’s movements alongside this history of domination reveals both the configurations of feminist agendas in Brazil and transformations of power. We draw on our experiences as scholars and activists to argue that Brazil’s current crisis has created an opportunity for solidarity that has drawn academic and activist feminists closer. Namely, amidst this crisis, we see a coming together of various women’s movements including Afro-Brazilian women, peasant women, indigenous women, and student groups. The unity among movements is made evident through the 2017 Women’s Worlds March for Rights, which the authors of this paper organized and attended, as well as #EleNão and 8M. In post-coup Brazil and throughout Latin America, women have been the face of the resistance to an encroaching fascism; this battle will require sustained opposition and continued deepening of solidarities

Blue native DIGE as a tool for comparative analyses of protein complexes

Differential gel electrophoresis (DIGE) is based on pre-labeling of different protein fractions and their subsequent co-electrophoresis in a single gel. Cyanine based "CyDye DIGE Fluor minimal dyes" are used for the labeling reaction and 2D IEF/SDS PAGE is the preferential electrophoresis system for protein separation. The DIGE technology allows elimination of inconsistencies based on gel to gel variations and furthermore allows exact quantification of proteins separated by gel electrophoresis. Here we report applications of the DIGE technology in combination with another 2D gel system, Blue native/SDS PAGE. "Blue native DIGE" offers (i) systematic and quantitative comparison of protein complexes of related protein fractions, (ii) structural investigation of protein complexes, (iii) assignment of protein complexes to subcellular fractions like organelles and (iv) electrophoretic mapping of isoforms of subunits of protein complexes with respect to a larger proteome. The potential of "Blue native DIGE" is illustrated by analysis of organellar fractions from the plant Arabidopsis thaliana and the alga Polytomella. Use of the DIGE technology for topological investigations is discussed

Pore-resolved investigation of turbulent open channel flow over a randomly packed permeable sediment bed

Pore-resolved direct numerical simulations (DNS) are performed to investigate the interactions between streamflow turbulence and groundwater flow through a randomly packed porous sediment bed for three permeability Reynolds numbers, $Re_K$, of 2.56, 5.17, and 8.94, representative of natural stream or river systems. Time-space averaging is used to quantify the Reynolds stress, form-induced stress, mean flow and shear penetration depths, and mixing length at the sediment-water interface (SWI). The mean flow and shear penetration depths increase with $Re_K$ and are found to be nonlinear functions of non-dimensional permeability. The peaks and significant values of the Reynolds stresses, form-induced stresses, and pressure variations are shown to occur in the top layer of the bed, which is also confirmed by conducting simulations of just the top layer as roughness elements over an impermeable wall. The probability distribution functions (PDFs) of normalized local bed stress are found to collapse for all Reynolds numbers and their root mean-squared fluctuations are assumed to follow logarithmic correlations. The fluctuations in local bed stress and resultant drag and lift forces on sediment grains are mainly a result of the top layer, their PDFs are symmetric with heavy tails, and can be well represented by a non-Gaussian model fit. The bed stress statistics and the pressure data at the SWI can potentially be used in providing better boundary conditions in modeling of incipient motion and reach-scale transport in the hyporheic zone.Comment: 34 pages, 15 figures, 9 tables. arXiv admin note: text overlap with arXiv:2204.1387

Dementia as fixed or malleable:Development and validation of the dementia mindset scale

Background and Objectives Care professionals differ in how they experience and respond to dementia caregiving. To explain such differences, we developed a new measure: the Dementia Mindset Scale. This scale captures the extent to which care professionals view dementia as stable and fixed (akin to the biomedical perspective) or as flexible and malleable (akin to the person-centered approach). Research Design and Methods We conducted four studies to develop the scale. We tested items for comprehensibility, assessed the scale’s factorial structure and psychometric properties, and investigated its predictive validity for care professionals’ well-being. Results A new scale with a two-factor structure—distinguishing a malleable dementia mindset from a fixed dementia mindset—was developed. Results showed good convergent and divergent validity. Moreover, the dementia mindsets predicted aspects of job-related well-being in care professionals. Discussion and Implications The scale allows for the assessment of individual differences in how care professionals see dementia. This insight can be used to improve interventions aimed at enhancing care professionals’ well-being and quality of care

From dementia mindsets to emotions and behaviors:Predicting person-centered care in care professionals

Background and Objective: High-quality care standards for dementia care are increasingly based on person-centered care principles. To better understand facilitating factors of person-centered care this research focuses on individual characteristics of care professionals. Applying mindset theory to dementia care, we examined dementia mindsets (viewing dementia symptoms as either malleable or fixed) in care professionals. We tested whether there is a positive relationship between a malleable dementia mindset and person-centered care as well as a negative relationship between a fixed dementia mindset and person-centered care. Moreover, we examined whether care professionals’ emotional responses in care situations help explain associations between dementia mindsets and person-centered care. Research Design and Method: In two cross-sectional studies, care professionals of long-term care facilities (total N = 370) completed a measure of dementia mindsets and reported their emotional and behavioral responses to five care scenarios. Regression and mediation analyses were performed. Findings: The tested hypotheses were partially supported. A fixed dementia mindset predicted reported person-centered care negatively, while a malleable dementia mindset did not. Mediation analyses suggest that reduced negative emotions may underlie the association between a malleable mindset and reported person-centered care, while reduced positive emotions in care situations may underlie the association of a fixed mindset and reported person-centered care. Study 2 partially replicated these findings. A fixed mindset and positive emotional responses were the most robust predictors of reported person-centered care. Discussion and Implications: This study extends knowledge on facilitators (positive emotional responses to care situations) and barriers (fixed dementia mindset) to person-centered care in care professionals working with persons with dementia. We discuss how dementia mindsets and emotional responses to care situations may be a fruitful target for trainings for care professionals

Regulation-Structured Dynamic Metabolic Model Provides a Potential Mechanism for Delayed Enzyme Response in Denitrification Process

In a recent study of denitrification dynamics in hyporheic zone sediments, we observed a significant time lag (up to several days) in enzymatic response to the changes in substrate concentration. To explore an underlying mechanism and understand the interactive dynamics between enzymes and nutrients, we developed a trait-based model that associates a community’s traits with functional enzymes, instead of typically used species guilds (or functional guilds). This enzyme-based formulation allows to collectively describe biogeochemical functions of microbial communities without directly parameterizing the dynamics of species guilds, therefore being scalable to complex communities. As a key component of modeling, we accounted for microbial regulation occurring through transcriptional and translational processes, the dynamics of which was parameterized based on the temporal profiles of enzyme concentrations measured using a new signature peptide-based method. The simulation results using the resulting model showed several days of a time lag in enzymatic responses as observed in experiments. Further, the model showed that the delayed enzymatic reactions could be primarily controlled by transcriptional responses and that the dynamics of transcripts and enzymes are closely correlated. The developed model can serve as a useful tool for predicting biogeochemical processes in natural environments, either independently or through integration with hydrologic flow simulators

Regulation-Structured Dynamic Metabolic Model Provides a Potential Mechanism for Delayed Enzyme Response in Denitrification Process

In a recent study of denitrification dynamics in hyporheic zone sediments, we observed a significant time lag (up to several days) in enzymatic response to the changes in substrate concentration. To explore an underlying mechanism and understand the interactive dynamics between enzymes and nutrients, we developed a trait-based model that associates a community’s traits with functional enzymes, instead of typically used species guilds (or functional guilds). This enzyme-based formulation allows to collectively describe biogeochemical functions of microbial communities without directly parameterizing the dynamics of species guilds, therefore being scalable to complex communities. As a key component of modeling, we accounted for microbial regulation occurring through transcriptional and translational processes, the dynamics of which was parameterized based on the temporal profiles of enzyme concentrations measured using a new signature peptide-based method. The simulation results using the resulting model showed several days of a time lag in enzymatic responses as observed in experiments. Further, the model showed that the delayed enzymatic reactions could be primarily controlled by transcriptional responses and that the dynamics of transcripts and enzymes are closely correlated. The developed model can serve as a useful tool for predicting biogeochemical processes in natural environments, either independently or through integration with hydrologic flow simulators