Using Nanoparticle X-ray Spectroscopy to Probe the Formation of Reactive Chemical Gradients in Diffusion-Limited Aerosols.

For aerosol particles that exist in highly viscous, diffusion-limited states, steep chemical gradients are expected to form during photochemical aging in the atmosphere. Under these conditions, species at the aerosol surface are more rapidly transformed than molecules residing in the particle interior. To examine the formation and evolution of chemical gradients at aerosol interfaces, the heterogeneous reaction of hydroxyl radicals (OH) on ∼200 nm particles of pure squalane (a branched, liquid hydrocarbon) and octacosane (a linear, solid hydrocarbon) and binary mixtures of the two are used to understand how diffusion limitations and phase separation impact the particle reactivity. Aerosol mass spectrometry is used to measure the effective heterogeneous OH uptake coefficient (γeff) and oxidation kinetics in the bulk, which are compared with the elemental composition of the surface obtained using X-ray photoemission. When diffusion rates are fast relative to the reaction frequency, as is the case for squalane and low-viscosity squalane-octacosane mixtures, the reaction is efficient (γeff ∼ 0.3) and only limited by the arrival of OH to the interface. However, for cases, where the diffusion rates are slower than reaction rates, as in pure octacosane and higher-viscosity squalane-octacosane mixtures, the heterogeneous reaction occurs in a mixing-limited regime and is ∼10× slower (γeff ∼ 0.03). This is in contrast to carbon and oxygen K edge X-ray absorption measurements that show that the octacosane interface is oxidized much more rapidly than that of pure squalane particles. The O/C ratio of the surface (estimated to be the top 6-8 nm of the interface) is measured to change with rate constants of (3.0 ± 0.9) × 10-13 and (8.6 ± 1.2) × 10-13 cm3 molecule-1 s-1 for squalane and octacosane particles, respectively. The differences in surface oxidation rates are analyzed using a previously published reaction-diffusion model, which suggests that a 1-2 nm highly oxidized crust forms on octacosane particles, whereas in pure squalane, the reaction products are homogeneously mixed within the aerosol. This work illustrates how diffusion limitations can form particles with highly oxidized surfaces even at relatively low oxidant exposures, which is in turn expected to influence their microphysics in the atmosphere

Serum profiling and biomarker discovery of rat mammary tumors using mass-coded abundance tags (MCAT)

Advances in Mass-spectrometry techniques allow for the rapid processing and evaluation of complex biological mixtures such as blood/serum. These samples represent a protein rich environment as well as a sentinel monitoring system of the entire organism. The central tenet of these studies is that changes in the microenvironment of a tissue, brought about by a disease process, will lead to sufficient changes in the protein and peptide pattern of the serum, such that the differences can be accurately detected and correctly associated with a particular disease state. Using mass-spectrometry approaches we have developed techniques that allow us to compare samples from tumor-free and tumor present serum samples simultaneously to find biomarkers that indicate the presence of cancer. To examine potentially important but less abundant proteins, ultrafiltration (UF) was used to eliminate the more abundant proteins and combine this with the non-isotopic peptide tags (S-methylthioacetimidate and S-methyl thiopropionimidate) described by Beardsley and Reilley (J. Proteome Res. 2: 15-21, 2003) to differentiate our samples. Use of these mass-coded abundance tags (MCAT) allows for simultaneous evaluation of serum samples from tumor present, and tumor free animals. Using an oa time-of-flight mass-spectrometer (Q-tof) with electrospray ionization we produce high quality spectrums to screen for peptides that have only one tag. Specificity of tagging increases the likelihood that the peptide resulted from a protein unique to either the control or conditioned state. Using the ms/ms function of the Q-tof we sequence the peptide and identify the parent protein. Specifically, our lab is using UF, MCAT and the Q-tof to evaluate rat models of chemically-induced tumors. By using animal models we overcome much of the variability that may exist in human serum samples due to differences in gender, diet and cancer initiation. We have shown that these systems allow for the identification of both small molecules such as Alpha S1 casein precursor (24 kDa) as well as proteins greater than the MCO such as Fibrinogen alpha/alpha E precursor and Coagulation factor 2 (86 and 70 kDa, respectively). With positive sequence identification we can now evaluate the tumors themselves to determine if the proteins are over-expressed in the tumor vs. normal tissues. Using this method of “bottom-up” analysis provides information on the nature and composition of our samples to more rapidly identify those proteins that are unique to the tumor state of the animals

Data assmilation tests using NISE10 Storm Surge Model

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The Relation between Dividend and Financial Constraints to Firm Value

This study examines the relation between dividends and financial constraints to firm value using publicly traded firms in Indonesia from 2013 to 2017. The very exploration used a repeated cross section regression method to understand monotonic and non-monotonic alliance between dividends and financial constraints to firm value. The non-monotonic correlation measured by dummy variables for 6 dividends categories, i.e. 0 category is defined as firms that did not pay dividends and category 5 is defined as firms that pay dividends with the highest quintile. It is found that monotonic bond lowers the financial constraints that has more important and consistent positive effects on firm value relative to dividends. These findings imply investors to have higher preferences for a firm’s ability to realize good investment projects and provide higher future profits, relative to current profit in the form of dividends. It also found that non-monotonic connection between dividends and firm value and dividends and financial constraints have relatively equal positive effect to firm value

Whole-genome sequencing shows that patient-to-patient transmission rarely accounts for acquisition of Staphylococcus aureus in an intensive care unit

BACKGROUND  Strategies to prevent Staphylococcus aureus infection in hospitals focus on patient-to-patient transmission. We used whole-genome sequencing to investigate the role of colonized patients as the source of new S. aureus acquisitions, and the reliability of identifying patient-to-patient transmission using the conventional approach of spa typing and overlapping patient stay. METHODS Over 14 months, all unselected patients admitted to an adult intensive care unit (ICU) were serially screened for S. aureus. All available isolates (n = 275) were spa typed and underwent whole-genome sequencing to investigate their relatedness at high resolution. RESULTS Staphylococcus aureus was carried by 185 of 1109 patients sampled within 24 hours of ICU admission (16.7%); 59 (5.3%) patients carried methicillin-resistant S. aureus (MRSA). Forty-four S. aureus (22 MRSA) acquisitions while on ICU were detected. Isolates were available for genetic analysis from 37 acquisitions. Whole-genome sequencing indicated that 7 of these 37 (18.9%) were transmissions from other colonized patients. Conventional methods (spa typing combined with overlapping patient stay) falsely identified 3 patient-to-patient transmissions (all MRSA) and failed to detect 2 acquisitions and 4 transmissions (2 MRSA). CONCLUSIONS Only a minority of S. aureus acquisitions can be explained by patient-to-patient transmission. Whole-genome sequencing provides the resolution to disprove transmission events indicated by conventional methods and also to reveal otherwise unsuspected transmission events. Whole-genome sequencing should replace conventional methods for detection of nosocomial S. aureus transmission