bluuebunny/crossref_metadata_2025_split huggingface dataset:
Serum Oxidized Protein and Prostate Cancer Risk within the Prostate Cancer Prevention Trial
Authors: Hoque Ashraful , Ambrosone Christine B. , Till Cathee , Goodman Phyllis J. , Tangen Cathy , Kristal Alan , Lucia Scott , Wang Qiao , Kappil Maya , Thompson Ian , Hsing Ann W. , Parnes Howard , Santella Regina M. 
Published: March 2010

Abstract
To evaluate the role of oxidative stress in prostate cancer risk, we analyzed serum levels of protein carbonyl groups in 1,808 prostate cancer cases and 1,805 controls, nested in the Prostate Cancer Prevention Trial, a randomized, placebo-controlled trial that found finasteride decreased prostate cancer risk. There were no significant differences in protein carbonyl levels in baseline samples between those later diagnosed with prostate cancer and those without at the end of study biopsy. Adjusted odds ratios and 95% confidence intervals (95% CI) for the 4th quartile of protein carbonyl level for the combined, placebo, and finasteride arms were 1.03 (95% CI, 0.85-1.24), 0.88 (95% CI, 0.69-1.12), and 1.27 (95% CI, 0.94-1.71), respectively. There were no significant associations between carbonyl level and risk when analyzing high-grade and low-grade disease separately, nor did finasteride affect protein oxidation levels. The results of this large nested case-control study do not support the hypothesis that oxidative stress, at least as measured by protein carbonyl level, plays a role in prostate cancer. Cancer Prev Res; 3(4); 478–83. ©2010 AACR.
Vaccine Prevention of Cancer: Can Endogenous Antigens Be Targeted?
Authors: Weiner Louis M. , Surana Rishi , Murray Joseph 
Published: March 2010

AbstractThis perspective on the report by Beatty et al. in this issue of the journal (beginning on page 438) discusses the prevention of cancer through vaccination strategies that target antigens associated with tumor promotion and progression. Such approaches were first developed for treating cancer. We address cancer vaccination in the context of a mouse model of inflammatory bowel disease expressing MUC1, an epithelial mucin aberrantly expressed during chronic inflammation and in colorectal carcinogenesis, and in a broader context that includes the potential of targeting the tumor microenvironment for immunoprevention in humans. Obstacles in developing effective cancer vaccines, including antigen selection, immunoediting, and tumor-mediated immunosuppression, are also discussed. Cancer Prev Res; 3(4); 410–5. ©2010 AACR.
Hyponatremia, Natriuretic Peptides, and Outcomes in Acutely Decompensated Heart Failure
Authors: Mohammed Asim A. , van Kimmenade Roland R.J. , Richards Mark , Bayes-Genis Antoni , Pinto Yigal , Moore Stephanie A. , Januzzi James L. 
Published: March 2010

Background—
Hyponatremia is a well-known predictor of mortality in patients with acutely decompensated heart failure. Associations between hyponatremia and other prognostic variables in acutely decompensated heart failure, such as amino-terminal pro-B type natriuretic peptide remain unclear.

Methods and Results—

Six hundred twenty-eight patients presenting to the emergency department with acutely decompensated heart failure were studied. All were hospitalized. Serum sodium (Na) concentration at presentation was examined as a function of mortality at 1 year, alone and relative to other predictors of death. Hyponatremia (Na ≤135 mmol/L) was diagnosed in 24%(n=149) patients. Compared with those without hyponatremia, those affected were less likely to be male or to have hypertension or coronary artery disease but were more likely to have severe symptoms, to be anemic, and to have higher amino-terminal pro-B-type natriuretic peptide (NT-proBNP) concentrations (all
P
≤0.05). When examined as a function of Na deciles (ranging from Na <132 mmol/L to Na ≤142 mmol/L), a U-shaped association was found between Na level and 1-year mortality. In multivariate Cox proportional hazards analysis, hyponatremia was an independent predictor of 1-year mortality (hazards ratio=1.72; 95% CI=1.22 to 2.37;
P
=0.001) as was an NT-proBNP concentration above the median value of 4690 pg/mL (hazards ratio=1.49; 95% CI=1.10 to 2.00;
P
=0.009). Those with hyponatremia and more elevated NT-proBNP were more likely to develop worsening renal function during their hospitalization and had highest rates of 1-year death. Notably, however, hyponatremia predicted only 1-year mortality in those with an elevated NT-proBNP.

Conclusion—
Hyponatremia is associated with adverse outcome in patients with acutely decompensated heart failure; however, the prognostic value of low Na is mainly evident in those with more pronounced elevation of NT-proBNP concentrations.
Monitoring Drought over the Conterminous United States Using MODIS and NCEP Reanalysis-2 Data
Authors: Yao Yunjun , Liang Shunlin , Qin Qiming , Wang Kaicun 
Published: March 2010

Abstract
Monitoring land surface drought using remote sensing data is a challenge, although a few methods are available. Evapotranspiration (ET) is a valuable indicator linked to land drought status and plays an important role in surface drought detection at continental and global scales. In this study, the evaporative drought index (EDI), based on the estimated actual ET and potential ET (PET), is described to characterize the surface drought conditions. Daily actual ET at 4-km resolution for April–September 2003–05 across the continental United States is estimated using a simple improved ET model with input solar radiation acquired by Moderate-Resolution Imaging Spectroradiometer (MODIS) at a spatial resolution of 4 km and input meteorological parameters from NCEP Reanalysis-2 data at a spatial resolution of 32 km. The PET is also calculated using some of these data. The estimated actual ET has been rigorously validated with ground-measured ET at six Enhanced Facility sites in the Southern Great Plains (SGP) of the Atmosphere Radiation Measurement Program (ARM) and four AmeriFlux sites. The validation results show that the bias varies from −11.35 to 27.62 W m−2 and the correlation coefficient varies from 0.65 to 0.86. The monthly composites of EDI at 4-km resolution during April–September 2003–05 are found to be in good agreement with the Palmer Z index anomalies, but the advantage of EDI is its finer spatial resolution. The EDI described in this paper incorporates information about energy fluxes in response to soil moisture stress without requiring too many meteorological input parameters, and performs well in assessing drought at continental scales.
Employing Cluster Analysis to Detect Significant Cloud 3D RT Effect Indicators
Authors: Foster Michael J. , Veron Dana E. 
Published: March 2010

Abstract
Three-dimensional cloud field morphology contributes to scene-averaged cloud reflectivity, but climate models do not currently incorporate methods of identifying situations where this contribution is substantial. This work represents an effort to identify atmospheric conditions conducive to the formation of cloud field configurations that significantly affect shortwave radiative fluxes. Once identified, these characteristics may form the basis of a parameterization that accounts for radiative impact of complex cloud fields. A k-means clustering algorithm is applied to observed cloud properties taken from the Atmospheric Radiation Measurement Program tropical western Pacific sites to identify specific cloud regimes. Results from a stand-alone stochastic model, which statistically represents shortwave radiative transfer through broken cloud fields, are compared with those of a plane-parallel model. The aggregate scenes in each regime are examined to measure the bias in shortwave flux calculations due to neglected cloud field morphology. The results from the model comparison and cluster analysis suggest that cloud fraction, vertical wind shear, and spacing between cloudy layers are all important indicators of complex cloud field geometry and that these criteria are most often met in cloud regimes characterized by moderate to strong convection. The cluster criteria are applied to output from the Community Climate System Model (version 3.0) and it is found that the presence of persistent high cirrus cloud in model simulations inhibits identification of specific cloud regimes.
A Classical-Theory-Based Parameterization of Heterogeneous Ice Nucleation by Mineral Dust, Soot, and Biological Particles in a Global Climate Model
Authors: Hoose Corinna , Kristjánsson Jón Egill , Chen Jen-Ping , Hazra Anupam 
Published: March 2010

AbstractAn ice nucleation parameterization based on classical nucleation theory, with aerosol-specific parameters derived from experiments, has been implemented into a global climate model—the Community Atmosphere Model (CAM)-Oslo. The parameterization treats immersion, contact, and deposition nucleation by mineral dust, soot, bacteria, fungal spores, and pollen in mixed-phase clouds at temperatures between 0° and −38°C. Immersion freezing is considered for insoluble particles that are activated to cloud droplets, and deposition and contact nucleation are only allowed for uncoated, unactivated aerosols. Immersion freezing by mineral dust is found to be the dominant ice formation process, followed by immersion and contact freezing by soot. The simulated biological aerosol contribution to global atmospheric ice formation is marginal, even with high estimates of their ice nucleation activity, because the number concentration of ice nucleation active biological particles in the atmosphere is low compared to other ice nucleating aerosols. Because of the dominance of mineral dust, the simulated ice nuclei concentrations at temperatures below −20°C are found to correlate with coarse-mode aerosol particle concentrations. The ice nuclei (IN) concentrations in the model agree well overall with in situ continuous flow diffusion chamber measurements. At individual locations, the model exhibits a stronger temperature dependence on IN concentrations than what is observed. The simulated IN composition (77% mineral dust, 23% soot, and 10−5% biological particles) lies in the range of observed ice nuclei and ice crystal residue compositions.
Optimal Tropical Sea Surface Temperature Forcing of North American Drought
Authors: Shin Sang-Ik , Sardeshmukh Prashant D. , Webb Robert S. 
Published: March 2010

Abstract
The optimal anomalous sea surface temperature (SST) pattern for forcing North American drought is identified through atmospheric general circulation model integrations in which the response of the Palmer drought severity index (PDSI) is determined for each of 43 prescribed localized SST anomaly “patches” in a regular array over the tropical oceans. The robustness and relevance of the optimal pattern are established through the consistency of results obtained using two different models, and also by the good correspondence of the projection time series of historical tropical SST anomaly fields on the optimal pattern with the time series of the simulated PDSI in separate model integrations with prescribed time-varying observed global SST fields for 1920–2005. It is noteworthy that this optimal drought forcing pattern differs markedly in the Pacific Ocean from the dominant SST pattern associated with El Niño–Southern Oscillation (ENSO), and also shows a large sensitivity of North American drought to Indian and Atlantic Ocean SSTs.
Wind Modifications to Density-Driven Flows in Semienclosed, Rotating Basins
Authors: Reyes-Hernández Cristóbal , Valle-Levinson Arnoldo 
Published: March 2010

Abstract
An analytical two-dimensional model is used to describe wind-induced modifications to density-driven flows in a semienclosed rotating basin. Wind stress variations produce enhancement, inversion, or damping of density-driven flows by altering the barotropic and baroclinic pressure gradients and by momentum transfer from wind drag. The vertical structure of wind-induced flows depends on αH, the nondimensional surface trapping layer, where α is the inverse of the Ekman layer depth d and H is the maximum water depth. For αH &gt; 5 wind-driven flow structures are similar to the Ekman spiral; for αH &lt; 2 wind-driven flows are unidirectional with depth. The relative importance of density to wind forcing is evaluated with the Wedderburn number W = τ−1ρH2D, which depends on water density ρ, mean depth H, a proxy of the baroclinic pressure gradient D, and wind stress τ. Because D depends on α and therefore on the eddy viscosity of water Az, wind speed and Az both modify W. Moreover, wind direction alters W by modifying the pressure gradient through the sea surface slope. The effect of Az is also evaluated with the Ekman number E = Az/fH2, where f is the Coriolis parameter. The alterations of the density-driven flow by the wind-driven flow are explored in the E and W parameter space through examination of the lateral structure of the resulting exchange flows. Seaward winds and positive transverse winds (to the right facing up basin in the Northern Hemisphere) result in vertically sheared flow structures for most of the E versus W space. In contrast, landward winds and negative transverse winds (to the left facing up basin) result in unidirectional landward flows for most of the E versus W space. When compared to observed and numerically simulated flow structures, the results from the analytical model compare favorably in regard to the main features.
Stochastic Dynamics of Sea Surface Height Variability
Authors: Sura Philip , Gille Sarah T. 
Published: March 2010

AbstractSea surface height anomalies measured by the Ocean Topography Experiment (TOPEX)/Poseidon satellite altimeter indicate high values of skewness and kurtosis. Except in a few regions, including the Gulf Stream, the Kuroshio Extension, and the Agulhas Retroflection, that display bimodal patterns of sea surface height variability, kurtosis is uniformly greater than 1.5 times the squared skewness minus an adjustment constant. This relationship differs substantially from what standard Gaussian or double-exponential noise would produce. However, it can be explained by a simple theory in which the noise is assumed to be multiplicative, meaning that a larger background state implies larger random noise elements. The existence of multiplicative noise can be anticipated from the equations of motion, if ocean dynamics are split into a slowly decorrelating deterministic component and a rapidly decorrelating contribution that is approximated as noise. Such a model raises the possibility of predicting the probabilities of extreme sea surface height anomalies from first physical principles and may provide a useful null hypothesis for non-Gaussian sea surface height variability.
Analysis of Bottom-Track and Compass Error in a Self-Contained Acoustic Doppler Diver Navigation Console
Authors: Hench James L. , Rosman Johanna H. 
Published: March 2010

Abstract
The Cobra-Tac (Teledyne RD Instruments) is a self-contained diver navigation system based on acoustic Doppler velocity log (DVL) technology that uses dead reckoning to compute displacements from a known starting point. The navigational accuracy of the system was evaluated using a series of field tests with known solutions. Initial test data had an obvious directional bias in the navigation measurements, with positional errors as large as 5% of the track length. An analysis of this error showed that the DVL speed measurements were extremely accurate and that most of the position error could be explained by heading-dependent compass error. Compass error versus heading curves were different depending on whether a given route was mapped in a clockwise or counterclockwise direction, and further testing indicated that this was due to a combination of local magnetic field anomalies at the test site and instrument tilt. A postprocessing correction procedure, based on a one-cycle compass error model, was derived that significantly improves Cobra-Tac position estimates. After correction, position errors were well within manufacturer specifications. Further tests using new firmware that permitted in situ underwater compass calibration gave position errors of less than 1% of the track length. This level of accuracy should be sufficient for a wide range of scientific applications. Collectively, the test results and analyses indicate that Cobra-Tac can give very accurate navigation results, but the accuracy depends strongly on compass calibration and diver skill with the system.
Using TIGGE Data to Diagnose Initial Perturbations and Their Growth for Tropical Cyclone Ensemble Forecasts
Authors: Yamaguchi Munehiko , Majumdar Sharanya J. 
Published: March 2010

Abstract
Ensemble initial perturbations around Typhoon Sinlaku (2008) produced by ECMWF, NCEP, and the Japan Meteorological Agency (JMA) ensembles are compared using The Observing System Research and Predictability Experiment (THORPEX) Interactive Grand Global Ensemble (TIGGE) data, and the dynamical mechanisms of perturbation growth associated with the tropical cyclone (TC) motion are investigated for the ECMWF and NCEP ensembles. In the comparison, it is found that the vertical and horizontal distributions of initial perturbations as well as the amplitude are quite different among the three NWP centers before, during, and after the recurvature of Sinlaku. In addition, it turns out that those variations cause a difference in the TC motion not only at the initial time but also during the subsequent forecast period. The ECMWF ensemble exhibits relatively large perturbation growth, which results from 1) the baroclinic energy conversion in a vortex, 2) the baroclinic energy conversion associated with the midlatitude waves, and 3) the barotropic energy conversion in a vortex. Those features are less distinctive in the NCEP ensemble. A statistical verification shows that the ensemble spread of TC track predictions in NCEP (ECMWF) is larger than ECMWF (NCEP) for 1- (3-) day forecasts on average. It can be inferred that while the ECMWF ensemble starts from a relatively small amplitude of initial perturbations, the growth of the perturbations helps to amplify the ensemble spread of tracks. On the other hand, a relatively large amplitude of initial perturbations seems to play a role in producing the ensemble spread of tracks in the NCEP ensemble.
Stochastic Integration for the Heterogeneous Correlation Modeling Using a Diffusion Equation
Authors: Pannekoucke Olivier , Vezard Laurent 
Published: March 2010

Abstract
In this note, a stochastic integration scheme is proposed as an alternative to a deterministic integration scheme, usually employed for the diffusion operator in data assimilation. The stochastic integration scheme is no more than a simple interpolation of the initial condition in lieu of the deterministic integration. Furthermore, this also presents a potential in high performance computing. For the classic preconditioned minimizing problem, the stochastic integration is employed to implement the square root of the background error covariance matrix, while its adjoint is obtained from the adjoint code of the square root code. In a first part, the stochastic integration method and its weak convergence are detailed. Then the practical use of this approach in data assimilation is described. It is illustrated in a 1D test bed, where it is shown to run smoothly for background error covariance modeling, with nearest-neighbor interpolations, and O(100) particles.
Race/Ethnicity, Social Support, and Associations With Diabetes Self-Care and Clinical Outcomes in NHANES
Authors: Rees Courtney A. , Karter Andrew J. , Young Bessie A. 
Published: March 2010

Purpose The purpose of this study was to evaluate how social support and race/ethnicity were associated with diabetes self-care behaviors and clinical outcomes. Methods Using the cross-sectional 2005-2006 National Health and Nutrition Examination Survey (NHANES), the authors examined white, black, and Latino respondents who self-reported a diabetes diagnosis (n = 450), estimating the associations of social support on diabetes outcomes. The primary exposure was a social support index (0-5), which assessed the number of sources of support in one’s life. Outcomes were self-care behaviors (controlling weight, exercising, controlling fat/caloric intake, checking feet, and self-monitoring blood glucose) and intermediate clinical outcomes (hemoglobin A1C, diastolic blood pressure, and low-density lipoprotein [LDL]). Results There were no differences in social support by race/ethnicity. The authors observed several significant race/ethnicity by social support interactions in adjusted models, controlling for age, gender, education, self-reported health, depression, functional disability, insurance status, and insulin use. Among blacks, social support was associated with controlling weight (odds ratio [OR] = 1.55, P = .03), exercising (OR = 1.38, P = .03), controlling fat/ calories (OR = 1.84, P = .03), and lower diastolic blood pressure (β = -3.07, P = .02). Among whites, social support was associated with lower LDL (β = -9.45, P = .01). No significant effects were noted for Latinos. Conclusions The relationship of social support with diabetes management differed by race/ethnicity, with the strongest findings among blacks. Social support may be influential for maintaining self-care behaviors among blacks and controlling lipid levels among whites.
Long-Term Durability of Autologous Chondrocyte Implantation
Authors: Moseley J. Bruce , Anderson Allen F. , Browne Jon E. , Mandelbaum Bert R. , Micheli Lyle J. , Fu Freddie , Erggelet Christoph 
Published: March 2010

Background Autologous chondrocyte implantation for full-thickness lesions of the distal femur has demonstrated good short- to midterm clinical improvement. However, long-term durability (>5 years) of autologous chondrocyte implantation has not been evaluated in US patients to date. Hypothesis Patients who improve from baseline to early follow-up will sustain improvement at later follow-up. Study Design Case series, Level of evidence, 4. Methods Cartilage Repair Registry patients with full-thickness distal femur lesions who were treated with autologous chondrocyte implantation before December 31, 1996 and had modified overall Cincinnati scores at baseline and 1- to 5-year follow-up scores were re-evaluated at 6- to 10-year follow-up. Autologous chondrocyte implantation durability was determined by comparing early (1-5 years) to long-term (6-10 years) outcomes. Adverse events and treatment failures were recorded. Results Seventy-two patients met eligibility criteria (at baseline: mean age, 37 years; mean lesion size, 5.2 cm2; and overall condition score, 3.4 points [poor]). Eighty-seven percent of patients (47 of 54) who improved at the earlier follow-up period sustained a mean improvement in overall condition score of 3.8 points from baseline to the later follow-up period (P < .001). From baseline to 10-year follow-up (mean follow-up, 9.2 years), 69% improved, 17% failed, and 12.5% reported no change from baseline. Most failures (75% [9 of 12]) occurred at a mean follow-up of 2.5 years. Thirty patients (42%) had 42 operations after autologous chondrocyte implantation; 24 operations (57%) occurred in patients who met the study definition of failure. Conclusion Treatment with autologous chondrocyte implantation for large, symptomatic, full-thickness lesions of the distal femur can result in early improvement that is sustained at longer follow-up (up to 10 years) in the majority of patients.