Pilot-testing a Cancer 101 Education Curriculum with the Fairbanks Native Association’s Women & Children’s Center for Inner Healing

Cancer is the leading cause of death among Alaska Native people Nevertheless, due to improved detection awareness about cancer prevention, early screening and advances in treatment survival rates are rising

Distinguishing step relaxation mechanisms via pair correlation functions

Theoretical predictions of coupled step motion are tested by direct STM measurement of the fluctuations of near-neighbor pairs of steps on Si(111)-root3 x root3 R30 - Al at 970K. The average magnitude of the pair-correlation function is within one standard deviation of zero, consistent with uncorrelated near-neighbor step fluctuations. The time dependence of the pair-correlation function shows no statistically significant agreement with the predicted t^1/2 growth of pair correlations via rate-limiting atomic diffusion between adjacent steps. The physical considerations governing uncorrelated step fluctuations occurring via random attachment/detachment events at the step edge are discussed.Comment: 17 pages, 4 figure

Research note – barriers and solutions to linking and using health and social care data in Scotland

Integration of health and social care will require integrated data to drive service evaluation, design, joint working and research. We describe the results of a Scottish meeting of key stakeholders in this area. Potential uses for linked data included understanding client populations, mapping trajectories of dependency, identifying at risk groups, predicting required capacity for future service provision, and research to better understand the reciprocal interactions between health, social circumstances and care. Barriers to progress included lack of analytical capacity, incomplete understanding of data provenance and quality, intersystem incompatibility and issues of consent for data sharing. Potential solutions included better understanding the content, quality and provenance of social care data; investment in analytical capacity; improving communication between data providers and users in health and social care; clear guidance to systems developers and procurers; and enhanced engagement with the public. We plan a website for communication across Scotland on health and social care data linkage, educational resources for front line staff and researchers, plus further events for training and information dissemination. We believe that these processes hold lessons for other countries with an interest in linking health and social care data, as well as for cross-sector data linkage initiatives in general.</p

A facet is not an island: step-step interactions and the fluctuations of the boundary of a crystal facet

In a recent paper [Ferrari et al., Phys. Rev. E 69, 035102(R) (2004)], the scaling law of the fluctuations of the step limiting a crystal facet has been computed as a function of the facet size. Ferrari et al. use rigorous, but physically rather obscure, arguments. Approaching the problem from a different perspective, we rederive more transparently the scaling behavior of facet edge fluctuations as a function of time. Such behavior can be scrutinized with STM experiments and with numerical simulations.Comment: 3 page

Two‐Dimensional Phase Separation: Co-Adsorption of Hydrogen and Carbon Monoxide on the (111) Surface of Rhodium

The co‐adsorption of CO and H_2 on Rh(111) at low temperature (∼ 100 K) has been studied using thermal desorption mass spectrometry (TDS) and Low‐Energy Electron Diffraction(LEED). The probability of adsorption of CO on rhodium pretreated with hydrogen has been found to decrease slowly with increasing amounts of hydrogen on the surface. In addition, the effect of surface hydrogen on the CO LEED patterns indicates segregation of hydrogen and CO. These results can be explained in terms of a strong repulsive CO–H interaction and a mobile precursor model of CO adsorption

Correlations in nano-scale step fluctuations: comparison of simulation and experiments

We analyze correlations in step-edge fluctuations using the Bortz-Kalos-Lebowitz kinetic Monte Carlo algorithm, with a 2-parameter expression for energy barriers, and compare with our VT-STM line-scan experiments on spiral steps on Pb(111). The scaling of the correlation times gives a dynamic exponent confirming the expected step-edge-diffusion rate-limiting kinetics both in the MC and in the experiments. We both calculate and measure the temperature dependence of (mass) transport properties via the characteristic hopping times and deduce therefrom the notoriously-elusive effective energy barrier for the edge fluctuations. With a careful analysis we point out the necessity of a more complex model to mimic the kinetics of a Pb(111) surface for certain parameter ranges.Comment: 10 pages, 9 figures, submitted to Physical Review