First order reversal curves and intrinsic parameter determination for magnetic materials; Limitations of hysteron-based approaches in correlated systems

The generic problem of extracting information on intrinsic particle properties from the whole class of interacting magnetic fine particle systems is a long standing and difficult inverse problem. As an example, the Switching Field Distribution (SFD) is an important quantity in the characterization of magnetic systems, and its determination in many technological applications, such as recording media, is especially challenging. Techniques such as the first order reversal curve (FORC) methods, were developed to extract the SFD from macroscopic measurements. However, all methods rely on separating the contributions to the measurements of the intrinsic SFD and the extrinsic effects of magnetostatic and exchange interactions. We investigate the underlying physics of the FORC method by applying it to the output predictions of a kinetic Monte-Carlo model with known input parameters. We show that the FORC method is valid only in cases of weak spatial correlation of the magnetisation and suggest a more general approach

Frequency-dependent selection predicts patterns of radiations and biodiversity

Most empirical studies support a decline in speciation rates through time, although evidence for constant speciation rates also exists. Declining rates have been explained by invoking niche-filling processes, whereas constant rates have been attributed to non-adaptive processes such as sexual selection, mutation, and dispersal. Trends in speciation rate and the processes underlying it remain unclear, representing a critical information gap in understanding patterns of global diversity. Here we show that the speciation rate is driven by frequency dependent selection. We used a frequency-dependent and DNA sequence-based model of populations and genetic-distance-based speciation, in the absence of adaptation to ecological niches. We tested the frequency-dependent selection mechanism using cichlid fish and Darwin's finches, two classic model systems for which speciation rates and richness data exist. Using negative frequency dependent selection, our model both predicts the declining speciation rate found in cichlid fish and explains their species richness. For groups like the Darwin's finches, in which speciation rates are constant and diversity is lower, the speciation rate is better explained by a model without frequency-dependent selection. Our analysis shows that differences in diversity are driven by larger incipient species abundance (and consequent lower extinction rates) with frequency-dependent selection. These results demonstrate that mutations, genetic-distance-based speciation, sexual and frequency-dependent selection are sufficient not only for promoting rapid proliferation of new species, but also for maintaining the high diversity observed in natural systems

A hierarchical Bayesian model for understanding the spatiotemporal dynamics of the intestinal epithelium

Our work addresses two key challenges, one biological and one methodological. First, we aim to understand how proliferation and cell migration rates in the intestinal epithelium are related under healthy, damaged (Ara-C treated) and recovering conditions, and how these relations can be used to identify mechanisms of repair and regeneration. We analyse new data, presented in more detail in a companion paper, in which BrdU/IdU cell-labelling experiments were performed under these respective conditions. Second, in considering how to more rigorously process these data and interpret them using mathematical models, we use a probabilistic, hierarchical approach. This provides a best-practice approach for systematically modelling and understanding the uncertainties that can otherwise undermine the generation of reliable conclusions-uncertainties in experimental measurement and treatment, difficult-to-compare mathematical models of underlying mechanisms, and unknown or unobserved parameters. Both spatially discrete and continuous mechanistic models are considered and related via hierarchical conditional probability assumptions. We perform model checks on both in-sample and out-of-sample datasets and use them to show how to test possible model improvements and assess the robustness of our conclusions. We conclude, for the present set of experiments, that a primarily proliferation-driven model suffices to predict labelled cell dynamics over most time-scales

Quantitative Analysis of GPR Signals: Transmitted Wavelet, Amplitude Decay, and Sampling-Related Amplitude Distortions

3noWe study the importance of accurately recording signal amplitudes for the quantitative analysis of GPR data sets. Specifically, we measure the peak amplitudes of signals emitted by GPR antennas with different central frequencies and study their amplitude decay with distance, in order to extrapolate the peak amplitude of the wavelet initially transmitted by each antenna. The purpose is to compare the reference and reflected amplitudes in order to accurately estimate the subsurface EM impedance contrasts. Moreover, we study how sampling-related amplitude distortions can affect the quantitative analysis, and subsequently the resulting subsurface models, even in the absence of aliasing effects. The well-known Nyquist–Shannon theorem gives practical lower limits for the sampling rate in order to preserve the spectral content of a digitized signal; however, we show that it does not prevent possible amplitude distortions. In particular, we demonstrate that significant and unrecoverable loss of amplitude information occurs even at sampling rates well above the Nyquist– Shannon threshold. Interpolation may theoretically reduce such amplitude distortions; however, its accuracy would depend on the implemented algorithm and it is not verifiable in real data sets, since the actual amplitude information is limited to the sampled values. Moreover, re-sampling the interpolated signal simply reintroduces the initial problem, when a new sampling rate is selected. Our analysis suggests that, in order to limit the maximum peak amplitude error within 5%, the sampling rate selected during data acquisition must be at least 12 times the signal central frequency, which is higher than the commonly adopted standards.reservedmixedDossi, M.; Forte, Emanuele; Pipan, M.Dossi, M.; Forte, Emanuele; Pipan, M

Mudanças no âmbito da testagem anti-HIV no Brasil entre 1998 e 2005 Changes in HIV testing in Brazil between 1998 and 2005

OBJETIVO: Analisar mudanças na realização de teste anti-HIV, as razões alegadas entre as pessoas que foram ou não testadas e o recebimento de aconselhamento. MÉTODOS: Estudos transversais conduzidos com homens e mulheres de 16 a 65 anos, com amostras representativas do Brasil urbano em 1998 (n=3.600) e 2005 (n=5.040). Características sociodemográficas, sexuais, reprodutivas e de experiências de vida e saúde foram consideradas na análise. A avaliação das possíveis diferenças nas distribuições das variáveis baseou-se nos testes qui-quadrado de Pearson e F design-based (±<5%). RESULTADOS: Em 1998, 20,2% dos entrevistados haviam realizado o teste e 33,6% em 2005. Foram testadas 60% das mulheres na faixa 25-34 anos, mas as que iniciaram a vida sexual antes dos 16 anos e reportaram quatro ou mais parceiros sexuais nos cinco anos anteriores à entrevista foram menos testadas. Não se observou aumento significativo da testagem entre homens, exceto para os de 55-65 anos, renda per capita entre 1-3 e 5-10 salários mínimos, aposentados, protestantes históricos e adeptos de cultos afro-brasileiros, moradores da região Norte/Nordeste e os que declararam parceria homo/bissexual ou não tiveram relações sexuais nos cinco anos anteriores à entrevista. Não aumentou a freqüência de testagem entre pessoas auto-avaliadas como sob alto risco para o HIV. Entre as mulheres, a freqüência de testagem pré-natal aumentou e a testagem por trabalho diminuiu entre os homens. Em 2005, metade dos testados não recebeu orientação antes ou após o teste. CONCLUSÕES: Houve expansão desigual na testagem, atingindo principalmente mulheres em idade reprodutiva, adultas e pessoas com melhores condições sociais. A testagem parece estar aumentando no País sem a devida atenção à decisão autônoma das pessoas e sem o provimento de maior e melhor oferta de aconselhamento.<br>OBJECTIVE: To analize changes in HIV testing, reasons reported by those who were tested or not and received counseling. METHODS: Cross-sectional studies conducted in both men and women aged 16 to 65 years based on representative samples of urban Brazil in 1998 (n=3,600) and 2005 (n=5,040). Sociodemographic, sexual, reproductive characteristics, life experiences and health data were collected and analyzed. Potential differences in the distribution of variables was analyzed using Pearson's chi-square and design-based F test (±<5%). RESULTS: In 1998 and 2005, 20.2% and 33.6% of interviewees had been tested, respectively. A total of 60% women aged 25-34 years were tested, but those who reported sexual initiation before the age of 16 and four or more sexual partners in the fi ve years prior to the interview were less tested. There was no significant increase in testing among men, except among those aged 55-65 years, per capita income between 1-3 and 5-10 monthly minimum wages, retired, historical Protestant and followers of African-Brazilian religions, living in the North/Northeast region and who reported homosexual/bisexual partners or no sexual relationship in the five years prior to the interview. Testing rates did not increase in those who self-reported as high risk for HIV. Among women, prenatal testing rate increased while work-related testing decreased among men. In 2005, half of those who were tested did not receive any advice before or after testing. CONCLUSIONS: HIV testing scaling up was unequal and was mostly seen among women at childbearing age, adults and those better off. There seems to be an increase in testing rates in Brazil but without regard for people's right to free choice and without offering more widely and better quality counseling