Cytotoxic effects of asbestos fibres on P388D1 cells and macrophages in vitro

SIGLEAvailable from British Library Document Supply Centre- DSC:D50465/84 / BLDSC - British Library Document Supply CentreGBUnited Kingdo

Landslides

Landslides - Investigation and Monitoring offers a comprehensive overview of recent developments in the field of mass movements and landslide hazards. Chapter authors use in situ measurements, modeling, and remotely sensed data and methods to study landslides. This book provides a thorough overview of the latest efforts by international researchers on landslides and opens new possible research directions for further novel developments

A comparison of the CAR and DAGAR spatial random effects models with an application to diabetics rate estimation in Belgium

When hierarchically modelling an epidemiological phenomenon on a finite collection of sites in space, one must always take a latent spatial effect into account in order to capture the correlation structure that links the phenomenon to the territory. In this work, we compare two autoregressive spatial models that can be used for this purpose: the classical CAR model and the more recent DAGAR model. Differently from the former, the latter has a desirable property: its ρ parameter can be naturally interpreted as the average neighbor pair correlation and, in addition, this parameter can be directly estimated when the effect is modelled using a DAGAR rather than a CAR structure. As an application, we model the diabetics rate in Belgium in 2014 and show the adequacy of these models in predicting the response variable when no covariates are available

A Statistical Approach to the Alignment of fMRI Data

Multi-subject functional Magnetic Resonance Image studies are critical. The anatomical and functional structure varies across subjects, so the image alignment is necessary. We define a probabilistic model to describe functional alignment. Imposing a prior distribution, as the matrix Fisher Von Mises distribution, of the orthogonal transformation parameter, the anatomical information is embedded in the estimation of the parameters, i.e., penalizing the combination of spatially distant voxels. Real applications show an improvement in the classification and interpretability of the results compared to various functional alignment methods

Aerospace medicine and biology: A cumulative index to the 1986 issues (supplement 293)

This publication is a cumulative index to the abstracts contained in the Supplements 281 through 292 of Aerospace Medicine and Biology: A Continuing Bibliography. It includes seven indexes - subject, personal author, corporate source, foreign technology, contract number, report number, and accession number

Sources and composition of particulate organic matter in the Sacramento-San Joaquin River Delta, California

Determining organic matter sources and their availability to higher organisms is essential to better understanding the link between organic matter (OM) dynamics and secondary production, particularly in highly-disturbed river-delta systems. The San Francisco Bay and its associated Delta, is one of the most modified aquatic systems, and is the focus of an ongoing restoration effort. Particulate organic matter (POM) and surficial sediments were collected in the Sacramento-San Joaquin River Delta, CA to document temporal and spatial variations in biochemical, (total protein, carbohydrate and lipid), lipid biomarker, and total hydrolysable amino acid (THAA) composition. Sources, composition and nutritional quality of OM was assessed at ten sites representing diverse sub-habitats including each of the two major rivers, rehabilitated shallow-water, open water and natural marsh habitats. Biochemical and biomarker results showed that terrigenous OM and phytoplankton were the primary sources of POM in the Sacramento and San Joaquin Rivers. On average, the Sacramento River exhibited lower quality POM than the San Joaquin River, due to lower contributions from phytoplankton. Winter periods were characterized by increased delivery of highly degraded, low-quality POM, resulting from higher freshwater flows. In contrast, low flow periods were characterized by phytoplankton blooms and higher-quality POM, particularly in the San Joaquin River during summer. Phytoplankton, submerged macrophytes and terrigenous OM were the dominant sources in SPM and sediments at all shallow-water sites, but to differing degrees. Between-site differences are likely due to variations in the frequency and size of phytoplankton and macrophyte blooms, hydrodynamics and grazing pressures. Shallow-water sites exhibited higher concentrations of biomarkers representing phytoplankton/algal sources than river sites, indicating POM of higher nutritional quality. THAA-based degradation indices (DI) were used to characterize habitats in terms of organic matter degradation state. DI indicated that shallow-water habitats were characterized by less degraded POM than river sites, corroborating lipid biomarker analyses. This study demonstrates the value of using a multiple biomarker approach in complex systems such as the Delta. This approach, incorporated into a larger study of the system\u27s biology, hydrology and chemistry provides a useful strategy for addressing management issues in complex deltaic-estuarine systems