Bayesian Statistical Models of Cell-Cycle Progression at Single-Cell and Population Levels

<p>Cell division is a biological process fundamental to all life. One aspect of the process that is still under investigation is whether or not cells in a lineage are correlated in their cell-cycle progression. Data on cell-cycle progression is typically acquired either in lineages of single cells or in synchronized cell populations, and each source of data offers complementary information on cell division. To formally assess dependence in cell-cycle progression, I develop a hierarchical statistical model of single-cell measurements and extend a previously proposed model of population cell division in the budding yeast, <italic>Saccharomyces cerevisiae</italic>. Both models capture correlation and cell-to-cell heterogeneity in cell-cycle progression, and parameter inference is carried out in a fully Bayesian manner. The single-cell model is fit to three published time-lapse microscopy datasets and the population-based model is fit to simulated data for which the true model is known. Based on posterior inferences and formal model comparisons, the single-cell analysis demonstrates that budding yeast mother and daughter cells do not appear to correlate in their cell-cycle progression in two of the three experimental settings. In contrast, mother cells grown in a less preferred sugar source, glycerol/ethanol, did correlate in their rate of cell division in two successive cell cycles. Population model fitting to simulated data suggested that, under typical synchrony experimental conditions, population-based measurements of the cell-cycle were not informative for correlation in cell-cycle progression or heterogeneity in daughter-specific G1 phase progression.</p>Thesi

Promoting breastfeeding in child care through state regulation.

Policies supporting breastfeeding vary by state, but little is known about the geographical aspects of this variation. This study describes state breastfeeding licensing and administrative regulations targeting child care settings, compares regulations with national standards, and examines the spatial patterning and clustering of these regulations throughout the United States (US). We compared regulations for child care centers (centers) and family child care homes (homes) with national standards for: (1) general breastfeeding support; (2) designated place for breastfeeding; (3) no solids before infants are four months of age; and (4) no formula for breastfed infants without parent permission. We scored state regulations as 0 = standard not addressed, 1 = standard partially addressed, and 2 = standard fully addressed. We considered each regulation individually, and also summed scores to provide an overall rating of regulations by state. We mapped regulations using geographic information systems technology, and explored overall and local spatial autocorrelation using global and local variants of Moran's I. Five states had regulations for centers and two for homes that addressed all four standards. Mean regulation scores were 0.35, 0.20, 0.98, 0.74 for centers, and 0.17, 0.15, 0.79, 0.58 for homes. Local Moran's I revealed that New York and Pennsylvania had substantially stronger regulations than their adjacent states, while Florida had weaker regulations than its neighbors. Overall, few states had regulations that met breastfeeding standards. We identified some patterns of spatial correlation, suggesting avenues for future research to better understand distributions of regulations across the US.This is the final published version of the article. It was first published in the Maternal and Child Health Journal here: http://link.springer.com/article/10.1007%2Fs10995-014-1560-6

Concordance Among Bioelectrical Impedance Analysis Measures Of Percent Body Fat In Athletic Young Adults

International Journal of Exercise Science 12(4): 324-331, 2019. The purpose of this investigation was to determine the agreement among three bioelectrical impedance analysis devices (BIA) in athletic young adults. Fifty-one participants (26 men and 25 women) were assessed for percent body fat (PBF) using an arm-to-arm bipolar single-frequency device (ABIA), a leg-to-leg single-frequency device (LBIA), and an octopolar multi-frequency BIA device (MFBIA). PBF was measured with the three devices in a randomized, counterbalanced order. Repeated measures ANOVA revealed significant (p \u3c 0.001) differences in PBF estimates among all devices (ABIA = 19.1 ± 7.2%, LBIA = 21.6 ±7.5%, and MFBIA = 22.9 ± 8.8%). Pearson’s Correlations revealed a strong relationship between ABIA and MFBIA in both men (r = 0.948) and women (r = 0.947) and a moderately-strong relationship between LBIA and MFBIA (r = 0.870 and 0.679, respectively). Lin’s concordance coefficient revealed moderately-strong concordance between ABIA and MFBIA in men (ρc= 0.800) and women (ρc= 0.681) and between LBIA and MFBIA (ρc = 0.846 and ρc= 0.651, respectively). These data indicate a strong agreement among all three devices, suggesting that any of them could be used to track changes in PBF over time. However, the significant differences in PBF values among devices imply that best practice for monitoring body composition should be to use one device consistently over time for a reliable assessment

Divided government and significant legislation: A History of Congress from 1789 to 2010

This article presents and analyzes the most comprehensive database to date of significant acts of Congress—from 1789 to 2010—to test whether divided party control of government affects the number of important acts Congress passes. We find that unified control corresponds with one additional significant act passed per Congress in the nineteenth century and four additional such acts in the twentieth century. However, party control of government cannot explain the broad historical trends in the rate at which Congress passes significant legislation. Nixon in 1969 was far more successful with a Democratic Congress than was McKinley in 1897 with a Republican one

Framing universal health coverage in Kenya: an interpretive analysis of the 2004 Bill on National Social Health Insurance.

In 2004, President Mwai Kibaki of Kenya refused to sign a popular Bill on National Social Health Insurance into law. Drawing on innovations in framing theory, this research provides a social explanation for this decision. In addition to document review, this study involved interpretive analysis of transcripts from 50 semi-structured interviews with leading actors involved in the health financing policy process in Kenya, 2014-15. The frame-critical analysis focused on how actors engaged in (1) sensemaking, (2) naming, which includes selecting and categorizing and (3) storytelling. We demonstrated that actors' abilities to make sense of the Bill were largely influenced by their own understandings of the finer features of the Bill and the array of interest groups privy to the debate. This was reinforced by a process of naming, which selects and categorizes aspects of the Bill, including the public persona of its primary sponsor, its affordability, sustainability, technical dimensions and linkages to notions of economic liberalism. Actors used these understandings and names to tell stories of ideational warfare, which involved narrative accounts of policy resistance and betrayal. This analysis illustrates the difficulty in enacting sweeping reform measures and thus provides a basis for understanding incrementalism in Kenyan health policy

Social Aggregation in Pea Aphids: Experiment and Random Walk Modeling

From bird flocks to fish schools and ungulate herds to insect swarms, social biological aggregations are found across the natural world. An ongoing challenge in the mathematical modeling of aggregations is to strengthen the connection between models and biological data by quantifying the rules that individuals follow. We model aggregation of the pea aphid, Acyrthosiphon pisum. Specifically, we conduct experiments to track the motion of aphids walking in a featureless circular arena in order to deduce individual-level rules. We observe that each aphid transitions stochastically between a moving and a stationary state. Moving aphids follow a correlated random walk. The probabilities of motion state transitions, as well as the random walk parameters, depend strongly on distance to an aphid\u27s nearest neighbor. For large nearest neighbor distances, when an aphid is essentially isolated, its motion is ballistic with aphids moving faster, turning less, and being less likely to stop. In contrast, for short nearest neighbor distances, aphids move more slowly, turn more, and are more likely to become stationary; this behavior constitutes an aggregation mechanism. From the experimental data, we estimate the state transition probabilities and correlated random walk parameters as a function of nearest neighbor distance. With the individual-level model established, we assess whether it reproduces the macroscopic patterns of movement at the group level. To do so, we consider three distributions, namely distance to nearest neighbor, angle to nearest neighbor, and percentage of population moving at any given time. For each of these three distributions, we compare our experimental data to the output of numerical simulations of our nearest neighbor model, and of a control model in which aphids do not interact socially. Our stochastic, social nearest neighbor model reproduces salient features of the experimental data that are not captured by the control

Framing and the health policy process: a scoping review.

Framing research seeks to understand the forces that shape human behaviour in the policy process. It assumes that policy is a social construct and can be cast in a variety of ways to imply multiple legitimate value considerations. Frames provide the cognitive means of making sense of the social world, but discordance among them forms the basis of policy contestation. Framing, as both theory and method, has proven to generate considerable insight into the nature of policy debates in a variety of disciplines. Despite its salience for understanding health policy debates; however, little is known about the ways frames influence the health policy process. A scoping review using the Arksey and O'Malley framework was conducted. The literature on framing in the health sector was reviewed using nine health and social science databases. Articles were included that explicitly reported theory and methods used, data source(s), at least one frame, frame sponsor and evidence of a given frame's effect on the health policy process. A total of 52 articles, from 1996 to 2014, and representing 12 countries, were identified. Much of the research came from the policy studies/political science literature (n = 17) and used a constructivist epistemology. The term 'frame' was used as a label to describe a variety of ideas, packaged as values, social problems, metaphors or arguments. Frames were characterized at various levels of abstraction ranging from general ideological orientations to specific policy positions. Most articles presented multiple frames and showed how actors advocated for them in a highly contested political process. Framing is increasingly an important, yet overlooked aspect of the policy process. Further analysis on frames, framing processes and frame conflict can help researchers and policymakers to understand opaque and highly charged policy issues, which may facilitate the resolution of protracted policy controversies

Self-interest And Public Interest: The Motivations Of Political Actors

Self-Interest and Public Interest in Western Politics showed that the public, politicians, and bureaucrats are often public spirited. But this does not invalidate public-choice theory. Public-choice theory is an ideal type, not a claim that self-interest explains all political behavior. Instead, public-choice theory is useful in creating rules and institutions that guard against the worst case, which would be universal self-interestedness in politics. In contrast, the public-interest hypothesis is neither a comprehensive explanation of political behavior nor a sound basis for institutional design