Teaching Feminist Research Methods: A Comment and an Evaluation

What are feminist research methods and how are they different from other, non-feminist research methods? This paper begins by interrogating the question of how research methods become labeled as feminist. Building on this knowledge, we detail how this investigation guided our implementation of a new feminist research methods course sequence in a Women and Gender Studies program. This article is not an evaluation of our course; it is a feminist exercise in self-reflection on the feminist processes that, when invoked, results in feminist teaching of any course. But in this case, it is a course that is not always identified as being ripe for a feminist approach: methods. We conclude by drawing upon our experience to discuss some of the structural and pedagogical challenges when teaching feminist research methods

The Genesis, Evolution, and Influence of Undergraduate Research Mentoring Relationships

Undergraduate research has been documented as yielding valuable student learning outcomes. While the outcomes have been extensively investigated, the development and characteristics of the relationship with the research mentor has received less attention. To better understand how participating in undergraduate research yields substantial benefits to students, we need to elucidate the relationship between students and their research mentors. Using survey and focus group data from a select group of undergraduate researchers at one research university, we investigated the origins of undergraduate research mentoring relationships, the development of those relationships over time, and how the characteristics of the mentoring relationship yielded a shift in identity among the undergraduates. In this case study we found that the meaningful relationships developed between students and their mentors contributed to student development in the form of increased confidence and perceived competency. This competency led to changed expectations of self in the professional sphere, a deeper sense of belonging, and changed expectations for post-graduation

Patterns of housework performance in the United States before, during, and after the Great Recession

Housework is a key area of research across many academic fields as it represents the intersection of micro- and macro-level gender dynamics. Despite many shifts in both women's and men's economic activities, and men's changing gender beliefs, women remain largely responsible for the management and performance of domestic labor. Given the relationship between paid employment and household work, this research describes patterns of women's and men's housework before, during, and after the Great Recession. Using American Time Use Survey data, I perform latent profile analysis to document the distributions of housework tasks and time for women and men across these three time periods. While women perform the majority of housework across the time frame, women and men converge in their time during the Recession. Further, men's time becomes more varied and more similar to women's Post-Recession. The findings in this research brief highlight the connections between macro-level change and micro-level behavior

Health Literacy among Medically Underserved: The Role of Demographic Factors, Social Influence, and Religious Beliefs

The current study examined the sociodemographic and psychosocial variables that predicted being at risk for low health literacy among a population of racially and ethnically diverse patients accessing primary care services at community-based clinics. Participants (N = 416) were aged 50-75 years, currently not up-to-date with colorectal cancer (CRC) screening, at average CRC risk, and enrolled in a randomized controlled trial (RCT) aimed at promoting CRC screening. Participants completed a baseline interview that assessed health literacy as measured by Rapid Estimate of Adult Literacy in Medicine-Revised, sociodemographic factors, and psychosocial variables (e.g., health beliefs) prior to randomization and receipt of an intervention. Thirty-six percent of the participants were found to be at risk for low health literacy. Sociodemographic and psychosocial variables were assessed as predictors of being at risk for low health literacy using logistic regression. In the final model, predictors were male gender, being from a racial/ethnic minority group, being unable to work, having higher social influence scores, and having higher religious belief scores. These findings suggest several patient characteristics that may be associated with low health literacy, and highlight the importance of supporting all patients through simplified and clear communications and information to improve understanding of CRC screening information

The increase of the functional entropy of the human brain with age

We use entropy to characterize intrinsic ageing properties of the human brain. Analysis of fMRI data from a large dataset of individuals, using resting state BOLD signals, demonstrated that a functional entropy associated with brain activity increases with age. During an average lifespan, the entropy, which was calculated from a population of individuals, increased by approximately 0.1 bits, due to correlations in BOLD activity becoming more widely distributed. We attribute this to the number of excitatory neurons and the excitatory conductance decreasing with age. Incorporating these properties into a computational model leads to quantitatively similar results to the fMRI data. Our dataset involved males and females and we found significant differences between them. The entropy of males at birth was lower than that of females. However, the entropies of the two sexes increase at different rates, and intersect at approximately 50 years; after this age, males have a larger entropy

Composite structural motifs of binding sites for delineating biological functions of proteins

Most biological processes are described as a series of interactions between proteins and other molecules, and interactions are in turn described in terms of atomic structures. To annotate protein functions as sets of interaction states at atomic resolution, and thereby to better understand the relation between protein interactions and biological functions, we conducted exhaustive all-against-all atomic structure comparisons of all known binding sites for ligands including small molecules, proteins and nucleic acids, and identified recurring elementary motifs. By integrating the elementary motifs associated with each subunit, we defined composite motifs which represent context-dependent combinations of elementary motifs. It is demonstrated that function similarity can be better inferred from composite motif similarity compared to the similarity of protein sequences or of individual binding sites. By integrating the composite motifs associated with each protein function, we define meta-composite motifs each of which is regarded as a time-independent diagrammatic representation of a biological process. It is shown that meta-composite motifs provide richer annotations of biological processes than sequence clusters. The present results serve as a basis for bridging atomic structures to higher-order biological phenomena by classification and integration of binding site structures.Comment: 34 pages, 7 figure

Social and Structural Factors Associated with HIV Infection among Female Sex Workers Who Inject Drugs in the Mexico-US Border Region

BACKGROUND: FSWs who inject drugs (FSW-IDUs) can acquire HIV through high risk sexual and injection behaviors. We studied correlates of HIV infection among FSW-IDUs in northern Mexico, where sex work is quasi-legal and syringes can be legally obtained without a prescription. METHODS: FSW-IDUs>18 years old who reported injecting drugs and recent unprotected sex with clients in Tijuana and Ciudad Juarez underwent surveys and HIV/STI testing. Logistic regression identified correlates of HIV infection. RESULTS: Of 620 FSW-IDUs, prevalence of HIV, gonorrhea, Chlamydia, trichomonas, syphilis titers ≥1:8, or any of these infections was 5.3%, 4%, 13%, 35%, 10% and 72%, respectively. Compared to other FSW-IDUs, HIV-positive women were more likely to: have syphilis titers ≥1:8 (36% vs. 9%, p<0.001), often/always inject drugs with clients (55% vs. 32%, p = 0.01), and experience confiscation of syringes by police (49% vs. 28%, p = 0.02). Factors independently associated with HIV infection were syphilis titers ≥1:8, often/always injecting with clients and police confiscation of syringes. Women who obtained syringes from NEPs (needle exchange programs) within the last month had lower odds of HIV infection associated with active syphilis, but among non-NEP attenders, the odds of HIV infection associated with active syphilis was significantly elevated. CONCLUSIONS: Factors operating in both the micro-social environment (i.e., injecting drugs with clients) and policy environment (i.e., having syringes confiscated by police, attending NEPs) predominated as factors associated with risk of HIV infection, rather than individual-level risk behaviors. Interventions should target unjustified policing practices, clients' risk behaviors and HIV/STI prevention through NEPs

Modelling human performance within manufacturing systems design:from a theoretical towards a practical framework

Computer-based simulation is frequently used to evaluate the capabilities of proposed manufacturing system designs. Unfortunately, the real systems are often found to perform quite differently from simulation predictions and one possible reason for this is an over-simplistic representation of workers' behaviour within current simulation techniques. The accuracy of design predictions could be improved through a modelling tool that integrates with computer-based simulation and incorporates the factors and relationships that determine workers' performance. This paper explores the viability of developing a similar tool based on our previously published theoretical modelling framework. It focuses on evolving this purely theoretical framework towards a practical modelling tool that can actually be used to expand the capabilities of current simulation techniques. Based on an industrial study, the paper investigates how the theoretical framework works in practice, analyses strengths and weaknesses in its formulation, and proposes developments that can contribute towards enabling human performance modelling in a practical way

Network adaptation improves temporal representation of naturalistic stimuli in drosophila eye: II Mechanisms

Retinal networks must adapt constantly to best present the ever changing visual world to the brain. Here we test the hypothesis that adaptation is a result of different mechanisms at several synaptic connections within the network. In a companion paper (Part I), we showed that adaptation in the photoreceptors (R1-R6) and large monopolar cells (LMC) of the Drosophila eye improves sensitivity to under-represented signals in seconds by enhancing both the amplitude and frequency distribution of LMCs' voltage responses to repeated naturalistic contrast series. In this paper, we show that such adaptation needs both the light-mediated conductance and feedback-mediated synaptic conductance. A faulty feedforward pathway in histamine receptor mutant flies speeds up the LMC output, mimicking extreme light adaptation. A faulty feedback pathway from L2 LMCs to photoreceptors slows down the LMC output, mimicking dark adaptation. These results underline the importance of network adaptation for efficient coding, and as a mechanism for selectively regulating the size and speed of signals in neurons. We suggest that concert action of many different mechanisms and neural connections are responsible for adaptation to visual stimuli. Further, our results demonstrate the need for detailed circuit reconstructions like that of the Drosophila lamina, to understand how networks process information