bluuebunny/crossref_metadata_2025_split huggingface dataset:
Blood Pressure and Risk of Vascular Dementia
Authors: Emdin Connor A. , Rothwell Peter M. , Salimi-Khorshidi Gholamreza , Kiran Amit , Conrad Nathalie , Callender Thomas , Mehta Ziyah , Pendlebury Sarah T. , Anderson Simon G. , Mohseni Hamid , Woodward Mark , Rahimi Kazem 
Published: May 2016

Background and Purpose—
Vascular dementia is the second most common form of dementia but reliable evidence on age-specific associations between blood pressure (BP) and risk of vascular dementia is limited and some studies have reported negative associations at older ages.

Methods—
In a cohort of 4.28 million individuals, free of known vascular disease and dementia and identified from linked electronic primary care health records in the United Kingdom (Clinical Practice Research Datalink), we related BP to time to physician-diagnosed vascular dementia. We further determined associations between BP and dementia in a prospective population-based cohort of incident transient ischemic attack and stroke (Oxford Vascular Study).

Results—

For a median follow-up of 7.0 years, 11 114 initial presentations of vascular dementia were observed in the primary care cohort after exclusion of the first 4 years of follow-up. The association between usual systolic BP and risk of vascular dementia decreased with age (hazard ratio per 20 mm Hg higher systolic BP, 1.62; 95% confidence interval, 1.13–2.35 at 30–50 years; 1.26, 1.18–1.35 at 51–70 years; 0.97, 0.92–1.03 at 71–90 years;
P
trend=0.006). Usual systolic BP remained predictive of vascular dementia after accounting for effect mediation by stroke and transient ischemic attack. In the population-based cohort, prior systolic BP was predictive of 5-year risk of dementia with no evidence of negative association at older ages.

Conclusions—
BP is positively associated with risk of vascular dementia, irrespective of preceding transient ischemic attack or stroke. Previous reports of inverse associations in old age could not be confirmed.
Does Contralesional Hand Function After Neonatal Stroke Only Depend on Lesion Characteristics?
Authors: Dinomais Mickael , Hertz-Pannier Lucie , Groeschel Samuel , Delion Matthieu , Husson Béatrice , Kossorotoff Manoelle , Renaud Cyrille , Chabrier Stéphane , The Tich Sylvie Nguyen 
Published: May 2016

Background and Purpose—
In children having suffered from neonatal arterial ischemic stroke, the relationship between contralesional hand performance and structural changes in brain areas remote from the infarct site was examined.

Methods—
Using voxel-based morphometry, we correlated contralesional gross manual dexterity assessed by the box and block test and whole-brain gray and white-matter volume changes on high-resolution magnetic resonance imaging in 37 7-year-old post–neonatal arterial ischemic stroke children. We also compared the volume of the identified structures with magnetic resonance imaging data of 10 typically developing age-matched children.

Results—
Areas showing the highest positive correlation with the box and block test scores were ipsilesional mediodorsal thalamus, contralesional cerebellar lobule VIIa Crus I, and ipsilesional corticospinal tract at the level of superior corona radiata, the posterior limb of the internal capsule, and the cerebral peduncle and the ipsilesional body of corpus callosum. When compared with typically developing age-matched children, post–neonatal arterial ischemic stroke children with severe contralesional hand motor deficit exhibited significant volume reductions in these structures (except the cerebellum), whereas no differences were found with those with good manual dexterity. No negative correlation was found between box and block test scores and brain areas.

Conclusions—
Contralesional hand performance after neonatal arterial ischemic stroke is correlated with atrophy in brain areas directly or functionally connected but anatomically remote from the infarct. Our study suggests a role of the cerebellar lobule VIIa Crus I and mediodorsal thalamus in manual dexterity.

Clinical Trial Registration—

URL:
https://clinicaltrials.gov
. Unique identifier: NCT02511249.
Neutrophil-to-Lymphocyte Ratio Predicts the Outcome of Acute Intracerebral Hemorrhage
Authors: Lattanzi Simona , Cagnetti Claudia , Provinciali Leandro , Silvestrini Mauro 
Published: May 2016

Background and Purpose—
Increasing evidence suggests that inflammatory mechanisms are involved in the intracerebral hemorrhage–induced brain injury. We evaluated the prognostic role of the peripheral leukocyte counts and neutrophil-to-lymphocyte ratio (NLR) in patients with intracerebral hemorrhage.

Methods—
Patients with acute spontaneous intracerebral hemorrhage were retrospectively identified. Total white blood cells, absolute neutrophil count, and absolute lymphocyte count were obtained and the NLR computed from the admission blood work. The study end point was the occurrence of death or major disability at 3 months.

Results—
One hundred seventy-seven subjects were enrolled. Ninety-four (53.1%) had unfavorable outcome. The absolute neutrophil count, absolute lymphocyte count, and NLR were independently associated with the 3-month status. The NLR resulted the best discriminating variable and the best predictive cut-off value was 4.58.

Conclusions—
In patients with acute intracerebral hemorrhage, higher neutrophils, lower lymphocytes, and higher NLRs predicted worse 3-month outcome.
Connecting Microphysical Processes in Colorado Winter Storms with Vertical Profiles of Radar Observations
Authors: Schrom Robert S. , Kumjian Matthew R. 
Published: May 2016

AbstractTo better connect radar observations to microphysical processes, the authors analyze concurrent polarimetric radar observations at vertical incidence and roughly side incidence during the Front Range Orographic Storms (FROST) project. Data from three events show signatures of riming, aggregation, and dendritic growth. Riming and the growth of graupel are suggested by negative differential reflectivity ZDR and vertically pointing Doppler velocity magnitude |VR| > 2.0 m s−1; aggregation is indicated by maxima in the downward-relative gradient of radar reflectivity at horizontal polarization ZH below the −15°C isotherm and positive downward-relative gradients in |VR| when averaged over time. A signature of positive downward-relative gradients in ZH, negative downward-relative gradients in |VR|, and maxima in ZDR is observed near −15°C during all three events. This signature may be indicative of dendritic growth; preexisting, thick platelike crystals fall faster and grow slower than dendrites, allowing for |VR| to shift toward the slower-falling, rapidly growing dendrites. To test this hypothesis, simplified calculations of the ZH and |VR| gradients are performed for a range of terminal fall speeds of dendrites and isometric crystals. The authors prescribe linear profiles of ZH for the dendrites and isometric crystals, with the resulting profiles and gradients of |VR| determined from a range of particle fall speeds. Both the observed ZH and |VR| gradients are reproduced by the calculations for a large range of fall speeds. However, more observational data are needed to fully constrain these calculations and reject or support explanations for this signature.
An Analysis of Gravity Wave Spectral Characteristics in Moist Baroclinic Jet–Front Systems
Authors: Wei Junhong , Zhang Fuqing , Richter Jadwiga H. 
Published: May 2016

Abstract
This study investigates gravity wave spectral characteristics based on high-resolution mesoscale simulations of idealized moist baroclinic jet–front systems with varying degrees of convective instability, with the intent of improving nonorographic gravity wave parameterizations. In all experiments, there is a clear dominance of negative vertical flux of zonal momentum. The westward momentum flux is distributed around the estimated ground-based baroclinic wave phase velocity along the zonal direction, while strong moist runs indicate a dipole structure pattern with stronger westward momentum flux centers at slower phase velocity and weaker eastward momentum flux centers at faster phase velocity. The spectral properties of short-scale wave components (50–200 km) generally differ from those of medium-scale ones (200–600 km). Compared to the medium-scale wave components, the momentum flux phase speed spectra for the short-scale ones appear to be more sensitive to the increasing initial moisture content. The spectral behavior in horizontal wavenumber space or phase velocity space is highly anisotropic, with a noticeable preference along the jet direction, except for the short-scale components in strong moist runs. It is confirmed that the dry gravity wave source (i.e., upper jet and/or surface front) generates a relatively narrow and less symmetrical power spectrum (dominated by negative momentum flux) centered around lower phase velocity and horizontal wavenumber, whereas the moist gravity wave source (i.e., moist convection) generates a broader and more symmetrical power spectrum, with a broader range of phase speeds and horizontal wavenumbers. This study also shows that the properties of gravity wave momentum flux depend on the location relative to the baroclinic jet.
Australasian Temperature Reconstructions Spanning the Last Millennium
Authors: Gergis Joëlle , Neukom Raphael , Gallant Ailie J. E. , Karoly David J. 
Published: May 2016

Abstract
Multiproxy warm season (September–February) temperature reconstructions are presented for the combined land–ocean region of Australasia (0°–50°S, 110°E–180°) covering 1000–2001. Using between 2 (R2) and 28 (R28) paleoclimate records, four 1000-member ensemble reconstructions of regional temperature are developed using four statistical methods: principal component regression (PCR), composite plus scale (CPS), Bayesian hierarchical models (LNA), and pairwise comparison (PaiCo). The reconstructions are then compared with a three-member ensemble of GISS-E2-R climate model simulations and independent paleoclimate records. Decadal fluctuations in Australasian temperatures are remarkably similar between the four reconstruction methods. There are, however, differences in the amplitude of temperature variations between the different statistical methods and proxy networks. When the R28 network is used, the warmest 30-yr periods occur after 1950 in 77% of ensemble members over all methods. However, reconstructions based on only the longest records (R2 and R3 networks) indicate that single 30- and 10-yr periods of similar or slightly higher temperatures than in the late twentieth century may have occurred during the first half of the millennium. Regardless, the most recent instrumental temperatures (1985–2014) are above the 90th percentile of all 12 reconstruction ensembles (four reconstruction methods based on three proxy networks—R28, R3, and R2). The reconstructed twentieth-century warming cannot be explained by natural variability alone using GISS-E2-R. In this climate model, anthropogenic forcing is required to produce the rate and magnitude of post-1950 warming observed in the Australasian region. These paleoclimate results are consistent with other studies that attribute the post-1950 warming in Australian temperature records to increases in atmospheric greenhouse gas concentrations.
Can Australian Multiyear Droughts and Wet Spells Be Generated in the Absence of Oceanic Variability?
Authors: Taschetto Andréa S. , Gupta Alex Sen , Ummenhofer Caroline C. , England Matthew H. 
Published: May 2016

Abstract
Anomalous conditions in the tropical oceans, such as those related to El Niño–Southern Oscillation and the Indian Ocean dipole, have been previously blamed for extended droughts and wet periods in Australia. Yet the extent to which Australian wet and dry spells can be driven by internal atmospheric variability remains unclear. Natural variability experiments are examined to determine whether prolonged extreme wet and dry periods can arise from internal atmospheric and land variability alone. Results reveal that this is indeed the case; however, these dry and wet events are found to be less severe than in simulations incorporating coupled oceanic variability. Overall, ocean feedback processes increase the magnitude of Australian rainfall variability by about 30% and give rise to more spatially coherent rainfall impacts. Over mainland Australia, ocean interactions lead to more frequent extreme events, particularly during the rainy season. Over Tasmania, in contrast, ocean–atmosphere coupling increases mean rainfall throughout the year. While ocean variability makes Australian rainfall anomalies more severe, droughts and wet spells of duration longer than three years are equally likely to occur in both atmospheric- and ocean-driven simulations. Moreover, they are essentially indistinguishable from what one expects from a Gaussian white noise distribution. Internal atmosphere–land-driven megadroughts and megapluvials that last as long as ocean-driven events are also identified in the simulations. This suggests that oceanic variability may be less important than previously assumed for the long-term persistence of Australian rainfall anomalies. This poses a challenge to accurate prediction of long-term dry and wet spells for Australia.
Community Global Observing System Simulation Experiment (OSSE) Package (CGOP): Description and Usage
Authors: Boukabara Sid-Ahmed , Moradi Isaac , Atlas Robert , Casey Sean P. F. , Cucurull Lidia , Hoffman Ross N. , Ide Kayo , Krishna Kumar V. , Li Ruifang , Li Zhenglong , Masutani Michiko , Shahroudi Narges , Woollen Jack , Zhou Yan 
Published: May 2016

AbstractA modular extensible framework for conducting observing system simulation experiments (OSSEs) has been developed with the goals of 1) supporting decision-makers with quantitative assessments of proposed observing systems investments, 2) supporting readiness for new sensors, 3) enhancing collaboration across the community by making the most up-to-date OSSE components accessible, and 4) advancing the theory and practical application of OSSEs. This first implementation, the Community Global OSSE Package (CGOP), is for short- to medium-range global numerical weather prediction applications. The CGOP is based on a new mesoscale global nature run produced by NASA using the 7-km cubed sphere version of the Goddard Earth Observing System, version 5 (GEOS-5), atmospheric general circulation model and the January 2015 operational version of the NOAA global data assimilation (DA) system. CGOP includes procedures to simulate the full suite of observing systems used operationally in the global DA system, including conventional in situ, satellite-based radiance, and radio occultation observations. The methodology of adding a new proposed observation type is documented and illustrated with examples of current interest. The CGOP is designed to evolve, both to improve its realism and to keep pace with the advance of operational systems.
Forecast Uncertainty Dynamics in the THORPEX Interactive Grand Global Ensemble (TIGGE)
Authors: Herrera Michael A. , Szunyogh Istvan , Tribbia Joseph 
Published: May 2016

AbstractThis paper employs local linear, spatial spectral, and Lorenz curve–based diagnostics to investigate the dynamics of uncertainty in global numerical weather forecasts in the NH extratropics. The diagnostics are applied to ensembles in the THORPEX Interactive Grand Global Ensemble (TIGGE). The initial growth of uncertainty is found to be the fastest at the synoptic scales (zonal wavenumbers 7–9) most sensitive to baroclinic instability. At later forecast times, the saturation of uncertainties at the synoptic scales and the longer sustainable growth of uncertainty at the large scales lead to a gradual shift of the wavenumber of the dominant uncertainty toward zonal wavenumber 5. At the subsynoptic scales, errors saturate as predicted by Lorenz’s classic theory. While the ensembles capture the general characteristics of the uncertainty dynamics efficiently, there are locations where the predicted magnitude and structure of uncertainty have considerable time-mean errors. In addition, the magnitude of systematic errors in the prediction of the uncertainty increases with increasing forecast time. These growing systematic errors are dominated by errors in the prediction of low-frequency changes in the large-scale flow.
Extension and Application of High-Speed Digital Imaging Analysis Via Spatiotemporal Correlation and Eigenmode Analysis of Vocal Fold Vibration Before and After Polyp Excision
Authors: Wang Jun-Sheng , Olszewski Emily , Devine Erin E. , Hoffman Matthew R. , Zhang Yu , Shao Jun , Jiang Jack J. 
Published: May 2016

Objectives/Hypothesis: To evaluate the spatiotemporal correlation of vocal fold vibration using eigenmode analysis before and after polyp removal and explore the potential clinical relevance of spatiotemporal analysis of correlation length and entropy as quantitative voice parameters. We hypothesized that increased order in the vibrating signal after surgical intervention would decrease the eigenmode-based entropy and increase correlation length. Study Design: Prospective case series. Methods: Forty subjects (23 males, 17 females) with unilateral (n = 24) or bilateral (n = 16) polyps underwent polyp removal. High-speed videoendoscopy was performed preoperatively and 2 weeks postoperatively. Spatiotemporal analysis was performed to determine entropy, quantification of signal disorder, correlation length, size, and spatially ordered structure of vocal fold vibration in comparison to full spatial consistency. The signal analyzed consists of the vibratory pattern in space and time derived from the high-speed video glottal area contour. Results: Entropy decreased (Z = −3.871, P < .001) and correlation length increased ( t = −8.913, P < .001) following polyp excision. The intraclass correlation coefficients (ICC) for correlation length and entropy were 0.84 and 0.93. Conclusion: Correlation length and entropy are sensitive to mass lesions. These parameters could potentially be used to augment subjective visualization after polyp excision when evaluating procedural efficacy.
Stability of serum high-density lipoprotein-microRNAs for preanalytical conditions
Authors: Ishikawa Hiroaki , Yamada Hiroya , Taromaru Nao , Kondo Kanako , Nagura Ayuri , Yamazaki Mirai , Ando Yoshitaka , Munetsuna Eiji , Suzuki Koji , Ohashi Koji , Teradaira Ryoji 
Published: May 2016

Background Recently, several studies have shown that microRNAs are present in high-density lipoprotein, and high-density lipoprotein-microRNA may be a promising disease biomarker. We investigated the stability of high-density lipoprotein-microRNAs in different storage conditions as this is an important issue for its application to the field of clinical research. Methods microRNAs were extracted from the high-density lipoprotein fraction that was purified from the serum. miR-135 a and miR-223, which are known to be present in high-density lipoprotein, were quantified by quantitative real-time PCR. The influence of preanalytical parameters on the analysis of high-density lipoprotein-miRNAs was examined by the effect of RNase, storage conditions, and freezing and thawing. Results The concentrations of microRNA in high-density lipoprotein were not altered by RNase A treatment (0–100 U/mL). No significant change in these microRNAs was observed after storing serum at room temperature or 4℃ for 0–24 h, and there was a similar result in the cryopreservation for up to two weeks. Also, high-density lipoprotein-microRNAs were stable for, at least, up to five freeze–thaw cycles. Conclusions These results demonstrated that high-density lipoprotein-microRNAs are relatively resistant to various storage conditions. This study provides new and important information on the stability of high-density lipoprotein-microRNAs.
Comparative analysis of neutrophil gelatinase-associated lipocalin and other laboratory markers for lupus nephritis: a cross-sectional investigation
Authors: La’ulu Sonia L , Suh-Lailam Brenda B , Davis K Wayne , Straseski Joely A , Tebo Anne E 
Published: May 2016

Background Lupus nephritis is one of the most serious complications of systemic lupus erythematosus. This study evaluates the prevalence and correlation between neutrophil gelatinase-associated lipocalin and other biomarkers associated with renal involvement in systemic lupus erythematosus. Methods Paired serum and urine specimens from 50 suspected systemic lupus erythematosus patients, characterized by antinuclear antibodies detected by indirect immunofluorescence assay and varying positive concentrations of anti-double stranded DNA antibodies by Crithidia luciliae immunofluorescence assay, were investigated. Of these 50 patients, 18 were identified with renal involvement based upon laboratory serology. Patients and healthy control serum samples ( n = 50) were also evaluated for high avidity double stranded DNA IgG antibodies, anti-C1q IgG antibodies, and serum creatinine. The prevalence and relationship between biomarkers were evaluated using statistical methods. Results Serum and urine neutrophil gelatinase-associated lipocalin concentrations were significantly elevated in patients compared to controls, with a prevalence of 24% and 36%, respectively. These concentrations were also more markedly increased in systemic lupus erythematosus patients with renal involvement than those without. Spearman’s correlations between neutrophil gelatinase-associated lipocalin and other biomarkers tested ranged from 0.06 to 0.66 in all patients. Combined concordance as determined by Cronbach alpha coefficient between biomarkers was reduced from 0.71 to 0.58 (serum) and 0.62 (urine) when neutrophil gelatinase-associated lipocalin was removed. Conclusions Neutrophil gelatinase-associated lipocalin concentrations are elevated and demonstrate variable associated with other laboratory markers for renal involvement in systemic lupus erythematosus. Prospective longitudinal studies are needed to determine the optimal biomarker combinations for use in routine management of systemic lupus erythematosus patients at-risk for lupus nephritis.
Evaluation of Strategies for Integrated Classification of Visual-Manual and Cognitive Distractions in Driving
Authors: Zhang Yu , Kaber David 
Published: May 2016

Background: Prior studies have demonstrated unique driver behavior outcomes when visual and cognitive distraction occurs simultaneously as compared to the occurrence of one form of distraction alone. This situation implies additional complexity for the design of robust distraction detection systems and vehicle automation for hazard mitigation. Objective: This study evaluated the effectiveness of two distraction classification strategies: (a) a “two-stage” classifier, first detecting visual-manual distraction and then identifying dual or cognitive distraction states, and (b) a “direct-mapping” classifier developed to identify all distraction states at the same time. Method: Driving performance data were collected on 20 participants under different known states of distraction (none, visual-manual, cognitive, and combined). A support vector machine (SVM) was used as a base algorithm for both classifiers and performance data as well as the level of driving control (tactical and operational), which served as inputs and modifiers to the classification process. Results: The two-stage strategy was found to be sensitive for identifying states of visual-manual distraction; however, the strategy also produced a higher false alarm rate than direct-mapping. Consideration of driving control levels during classification also improved classification accuracy. Future work needs to account for strategic levels of vehicle control.