Miracle-dz/UniFAR-FTUs huggingface dataset:
The DEEP2 Galaxy Redshift Survey: Clustering of Galaxies in Early Data

We measure the two-point correlation function ξ(rp, π) in a sample of 2219 galaxies between z = 0.7 and 1.35 to a magnitude limit of RAB = 24.1 from the first season of the DEEP2 Galaxy Redshift Survey. From ξ(rp, π) we recover the real-space correlation function, ξ(r), which we find can be approximated within the errors by a power law, ξ(r) = (r/r0)-γ, on scales ~0.1-10 h-1 Mpc. In a sample with an effective redshift of zeff = 0.82, for a ΛCDM cosmology we find r0 = 3.53 ± 0.81 h-1 Mpc (comoving) and γ = 1.66 ± 0.12, while in a higher redshift sample with zeff = 1.14 we find r0 = 3.12 ± 0.72 h-1 Mpc and γ = 1.66 ± 0.12. These errors are estimated from mock galaxy catalogs and are dominated by the cosmic variance present in the current data sample. We find that red, absorption-dominated, passively evolving galaxies have a larger clustering scale length, r0, than blue, emission-line, actively star-forming galaxies. Intrinsically brighter galaxies also cluster more strongly than fainter galaxies at z ≃ 1. Our results imply that the DEEP2 galaxies have an effective bias b = 0.96 ± 0.13 if σ8DM = 1 today or b = 1.19 ± 0.16 if σ8DM = 0.8 today. This bias is lower than that predicted by semianalytic simulations at z ≃ 1, which may be the result of our R-band target selection. We discuss possible evolutionary effects within our survey volume, and we compare our results with galaxy-clustering studies at other redshifts, noting that our star-forming sample at z ≃ 1 has selection criteria very similar to the Lyman break galaxies at z ≃ 3 and that our red, absorption-line sample displays a clustering strength comparable to the expected clustering of the Lyman break galaxy descendants at z ≃ 1. Our results demonstrate that galaxy-clustering properties as a function of color, spectral type, and luminosity seen in the local universe were largely in place by z ≃ 1.
Agronomic evaluation of a Hancornia speciosa Gomes germplasm collection from the Brazilian Cerrado

: Hancornia speciosa Gomes is a fruit tree native to Brazil with poten tial for use in cropping systems. The objective of this study was to character ize accessions of a germplasm collection by evaluating agronomic traits. The collection was planted in 2005, in an experiment with 57 progenies and four replications, totaling 192 individual accessions from 29 natural subpopula tions of four botanical varieties, from the Brazilian Cerrado. The components of variance were estimated using the restricted maximum likelihood (REML) procedure. Heritability coefficients show the potential of the collection as base population for selection programs. The trait number of fruits per plant presented the highest estimated selection gain. The accessions of H. speciosa var. cuyabensis are the ones with the greatest potential for selection based on plant size and productivity. Progenies with greater development in the juvenile phase are potentially more productive in the adult phase, allowing the early selection of superior genotypes.
Relationship-based access control: its expression and enforcement through hybrid logic

Access control policy is typically defined in terms of attributes, but in many applications it is more natural to define permissions in terms of relationships that resources, systems, and contexts may enjoy. The paradigm of relationship-based access control has been proposed to address this issue, and modal logic has been used as a technical foundation. We argue here that hybrid logic -- a natural and well-established extension of modal logic -- addresses limitations in the ability of modal logic to express certain relationships. We identify a fragment of hybrid logic to be used for expressing relationship-based access-control policies, show that this fragment supports important policy idioms, and demonstrate that it removes an exponential penalty in existing attempts of specifying complex relationships such as "at least three friends". We also capture the previously studied notion of relational policies in a static type system.
Trends in Risk Factors, Stroke Subtypes and Outcome

Background: Prospective stroke registries allow analyzing important aspects of the natural history of acute cerebrovascular events. Using the Sagrat Cor Hospital of Barcelona Stroke Registry, we aimed to determine trends in risk factors, stroke subtypes, prognosis and in-hospital mortality over 19 years in hospitalized stroke patients. Methods: The study population consisted of 2,416 first-ever stroke patients (ischemic stroke, n = 2,028; intracerebral hemorrhage, n = 334) included in the stroke registry up to December 31, 2004. Temporal trends in stroke patient characteristics for the periods 1986–1992, 1993–1998 and 1999–2004 were assessed. Results: Age was significantly different among the analyzed periods (p < 0.001), showing an increment in older patients throughout time. Hypertension (p = 0.001), diabetes (p = 0.004), ischemic heart disease (p = 0.002) and atrial fibrillation increased (p = 0.000) as opposed to heavy smoking (p = 0.000) and history of TIA (p = 0.025). The mortality rate and the length of hospital stay decreased (p = 0.001), whereas transfer to convalescent/rehabilitation units increased (p = 0.001). Conclusions: An improvement in acute-stroke management and possibly evolution of cerebrovascular risk factors is reflected by changes in the risk factors and outcome of first-ever stroke patients admitted to a stroke unit over a 19-year time span.
Visual Reranking through Weakly Supervised Multi-graph Learning

Visual reranking has been widely deployed to refine the quality of conventional content-based image retrieval engines. The current trend lies in employing a crowd of retrieved results stemming from multiple feature modalities to boost the overall performance of visual reranking. However, a major challenge pertaining to current reranking methods is how to take full advantage of the complementary property of distinct feature modalities. Given a query image and one feature modality, a regular visual reranking framework treats the top-ranked images as pseudo positive instances which are inevitably noisy, difficult to reveal this complementary property, and thus lead to inferior ranking performance. This paper proposes a novel image reranking approach by introducing a Co-Regularized Multi-Graph Learning (Co-RMGL) framework, in which the intra-graph and inter-graph constraints are simultaneously imposed to encode affinities in a single graph and consistency across different graphs. Moreover, weakly supervised learning driven by image attributes is performed to denoise the pseudo-labeled instances, thereby highlighting the unique strength of individual feature modality. Meanwhile, such learning can yield a few anchors in graphs that vitally enable the alignment and fusion of multiple graphs. As a result, an edge weight matrix learned from the fused graph automatically gives the ordering to the initially retrieved results. We evaluate our approach on four benchmark image retrieval datasets, demonstrating a significant performance gain over the state-of-the-arts.
Novel Speckle-Tracking Radial Strain From Routine Black-and-White Echocardiographic Images to Quantify Dyssynchrony and Predict Response to Cardiac Resynchronization Therapy

Background— Mechanical dyssynchrony is a potential means to predict response to cardiac resynchronization therapy (CRT). We hypothesized that novel echocardiographic image speckle tracking can quantify dyssynchrony and predict response to CRT. Methods and Results— Seventy-four subjects were studied: 64 heart failure patients undergoing CRT (aged 64±12 years, ejection fraction 26±6%, QRS duration 157±28 ms) and 10 normal controls. Speckle tracking applied to routine midventricular short-axis images calculated radial strain from multiple circumferential points averaged to 6 standard segments. Dyssynchrony from timing of speckle-tracking peak radial strain was correlated with tissue Doppler measures in 47 subjects (r=0.94, P<0.001; 95% CI 0.90 to 0.96). The ability of baseline speckle-tracking radial dyssynchrony (time difference in peak septal wall–to–posterior wall strain ≥130 ms) to predict response to CRT was then tested. It predicted an immediate increase in stroke volume in 48 patients studied the day after CRT with 91% sensitivity and 75% specificity. In 50 patients with long-term follow-up 8±5 months after CRT, baseline speckle-tracking radial dyssynchrony predicted a significant increase in ejection fraction with 89% sensitivity and 83% specificity. Patients in whom left ventricular lead position was concordant with the site of latest mechanical activation by speckle-tracking radial strain had an increase in ejection fraction from baseline to a greater degree (10±5%) than patients with discordant lead position (6±5%; P<0.05). Conclusions— Speckle-tracking radial strain can quantify dyssynchrony and predict immediate and long-term response to CRT and has potential for clinical application.
Gestational diabetes: risk factors and recent advances in its genetics and treatment

The Hyperglycemia and Adverse Pregnancy Outcome (HAPO) study of over 23 000 diabetes-free pregnancies has shown that at a population level an unequivocal linear relationship exists between maternal glucose concentrations around the beginning of the third trimester of pregnancy and the risk of their baby being born above the ninetieth centile for weight. With the rising incidence of gestational diabetes (GDM) across the developed world, largely paralleling the increased prevalence of obesity, there has been a sharp increase in the risk of pregnancy complications developing related to the birth of macrosomic babies. The associated additional long-term complications of GDM pregnancies means that in the future there is likely to be a large increase in the incidence of type 2 diabetes and associated conditions in both the mothers and their affected offspring. The present review seeks to highlight recent advances and remaining gaps in knowledge about GDM in terms of its genetics (where some of the recently discovered polymorphic risk factors for type 2 diabetes have also proved to be risk factors for GDM) and its treatment by diet, exercise and drugs.
Inducible expression of V600EBraf using tyrosinase‐driven Cre recombinase results in embryonic lethality

We recently demonstrated that expression of V600EBraf in mature mouse melanocytes induces melanoma. Here, we show that expression of V600EBraf using the tyrosinase promoter leads to an unexpected embryonic lethality, with the animals dying before, at, or shortly after birth. The mice suffer from a range of developmental defects in the skin, the brain, the eyes and the heart, tissues that are normally colonized by melanocytes. We show that the V600EBraf expressing cells are potential melanocytic precursors that are fully transformed, suggesting that V600EBraf stimulates proliferation and blocks differentiation of these cells. Our data suggests that the presence of these cells in the organs that are normally occupied by melanocytes leads to severe developmental disruption, resulting in catastrophic defects and leading to death of the individual.
How Wages Change: Micro Evidence from the International Wage Flexibility Project

How do the complex institutions involved in wage setting affect wage changes? The International Wage Flexibility Project provides new microeconomic evidence on how wages change for continuing workers. We analyze individuals’ earnings in 31 different data sets from sixteen countries, from which we obtain a total of 360 wage change distributions. We find a remarkable amount of variation in wage changes across workers. Wage changes have a notably non-normal distribution; they are tightly clustered around the median and also have many extreme values. Furthermore, nearly all countries show asymmetry in their wage distributions below the median. Indeed, we find evidence of both downward nominal and real wage rigidities. We also find that the extent of both these rigidities varies substantially across countries. Our results suggest that variations in the extent of union presence in wage bargaining play a role in explaining differing degrees of rigidities among countries.
Assessing the quality of information on wikipedia: A deep‐learning approach

Currently, web document repositories have been collaboratively created and edited. One of these repositories, Wikipedia, is facing an important problem: assessing the quality of Wikipedia. Existing approaches exploit techniques such as statistical models or machine leaning algorithms to assess Wikipedia article quality. However, existing models do not provide satisfactory results. Furthermore, these models fail to adopt a comprehensive feature framework. In this article, we conduct an extensive survey of previous studies and summarize a comprehensive feature framework, including text statistics, writing style, readability, article structure, network, and editing history. Selected state‐of‐the‐art deep‐learning models, including the convolutional neural network (CNN), deep neural network (DNN), long short‐term memory (LSTMs) network, CNN‐LSTMs, bidirectional LSTMs, and stacked LSTMs, are applied to assess the quality of Wikipedia. A detailed comparison of deep‐learning models is conducted with regard to different aspects: classification performance and training performance. We include an importance analysis of different features and feature sets to determine which features or feature sets are most effective in distinguishing Wikipedia article quality. This extensive experiment validates the effectiveness of the proposed model.
Learning Character Design from Experts and Laymen

The use of pose and proportion to represent character traits is well established in art and psychology literature. However, there are no Golden Rules that quantify a generic design template for stylized character figure drawing. Given the wide variety of drawing styles and a large feature dimension space, it is a significant challenge to extract this information automatically from existing cartoon art. This paper outlines a game-inspired methodology for systematically collecting layman perception feedback, given a set of carefully chosen trait labels and character silhouette images. The rated labels were clustered and then mapped to the pose and proportion parameters of characters in the dataset. The trained model can be used to classify new drawings, providing valuable insight to artists who want to experiment with different poses and proportions in the draft stage. The proposed methodology was implemented as follows: 1) Over 200 full-body, front-facing character images were manually annotated to calculate pose and proportion, 2) A simplified silhouette was generated from the annotations to avoid copyright infringements and prevent users from identifying the source of our experimental figures, 3) An online casual role-playing puzzle game was developed to let players choose meaningful tags (role, physicality and personality) for characters, where tags and silhouettes received equitable exposure, 4) Analysis on the generated data was done both in stereotype label space as well as character shape space, 5) Label filtering and clustering enabled dimension reduction of the large description space, and subsequently, a select set of design features were mapped to these clusters to train a neural network classifier. The mapping between the collected perception and shape data give us quantitative and qualitative insight into character design. It opens up applications for creative reuse of (and deviation from) existing character designs.
Integrins in hypertensive remodeling.

As nurse Abby in the popular television series “E.R. ” well knew (http://www.erheadquarters.com/episodes/10/10204.htm), the law of Laplace states that wall stress equals pressure times radius divided by wall thickness. This law leaves 2 options for a vessel to normalize its wall stress in hypertension: either reorganize the available material around a smaller lumen or undergo hypertrophy. In various forms of hypertension, including human essential hypertension, the resistance arteries choose the first option, eutrophic inward remodeling, whereas large vessels demonstrate hypertrophy.1,2 The mechanisms by which the vessels make this choice are not clear. Previous investigations have suggested that integrins, in particular the β3 integrin, is involved in the eutrophic remodeling process.3 The article by Heerkens et al4 is the first to test this hypothesis as regards remodeling during hypertension. The authors use the well-characterized TGR(mRen2)27 rat5 as a genetic hypertension model. These Ren2 rats start developing hypertension from the age of 4 weeks, probably as a result of increased activity of the renin–angiotensin system,6 and have previously been shown to be associated with inward eutrophic remodeling of mesenteric small arteries.7 No measurements of lumen diameter are reported by Heerkens et al, but in a private communication the authors informed us that lumen diameters of the vessels from Ren2 animals were significantly reduced relative to those from control animals by 14%, 29%, 18% at, respectively, 5 weeks, 6 weeks, and 8 weeks; lumen diameters were identical at 4 weeks. Thus, …
Ocular pharmacokinetics of topically-applied ketoconazole solution containing hydroxypropyl beta-cyclodextrin to rabbits.

PURPOSE The aim of this study was to develop an aqueous ketoconazole (KET) eye drop in order to increase the corneal permeability and improve ocular bioavailability following topical application. METHODS Hydroxypropyl beta-cyclodextrin (HP-beta-CD) was used to formulate an aqueous eye drop to improve the aqueous solubility of KET. A single dose of of either KET suspension (1.5%; KET-SP) or KET (1.5%)/HP-beta -CD (12.5%) solution (KET-CD) was applied to rabbits. Aqueous humor and cornea were collected after 5, 10, 20, 30, 45, 60, 90, 120, and 180 min. KET concentrations were determined by high-performance liquid chromatography after extraction. RESULTS After topically applying KET-CD, the KET concentrations in aqueous humor were significantly increased at 10 approximately 120 min, compared with those of KET-SP (P < 0.05), whereas KET concentrations became undectable at 180 min after topically applying KET-SP. The highest levels of KET in aqueous humor (Cmax, 2.67 microg/mL) were obtained after a 20-min application of KET-CD, 6.1 times greater than that corresponding to the KET-SP at 30 min. The KET concentrations in aqueous humor for post-120- and 180-min instillations of KET-CD were 57.9 and 34.5 times higher than that of KET-SP post-120 min, respectively. The KET-CD produced an over eightfold bioavailability (AUC(0-120), area under the concentration-time curve between 0 and 120 min) increase in aqueous humor over the KET-SP. Peak KET concentration in the cornea (118.24 microg/g) was achieved within 5 min after the instillation of KET-CD, 18.4 times higher than that of KET-SP at the same time point, whereas the highest KET level in cornea was only 8.57 microg/g after a 10-min application of KET-SP. The KET levels in corneas obtained after the application of KET-CD were all much higher than those obtained by KETSP (P < 0.01). The KET-CD produced an over twelvefold bioavailability (AUC(0-120)) increase in corneas over the KET-SP.
Resting myocardial blood flow quantification using contrast-enhanced magnetic resonance imaging in the presence of stenosis: A computational fluid dynamics study.

PURPOSE The extent to which atherosclerotic plaques affect contrast agent (CA) transport in the coronary arteries and, hence, quantification of myocardial blood flow (MBF) using magnetic resonance imaging (MRI) is unclear. The purpose of this work was to evaluate the influence of plaque induced stenosis both on CA transport and on the accuracy of MBF quantification. METHODS Computational fluid dynamics simulations in a high-detailed realistic vascular model were employed to investigate CA bolus transport in the coronary arteries. The impact of atherosclerosis was analyzed by inserting various medium- to high-grade stenoses in the vascular model. The influence of stenosis morphology was examined by varying the stenosis shapes but keeping the area reduction constant. Errors due to CA bolus transport were analyzed using the tracer-kinetic model MMID4. RESULTS Dispersion of the CA bolus was found in all models and for all outlets, but with a varying magnitude. The impact of stenosis was complex: while high-grade stenoses amplified dispersion, mild stenoses reduced the effect. Morphology was found to have a marked influence on dispersion for a small number of outlets in the post-stenotic region. Despite this marked influence on the concentration-time curves, MBF errors were less affected by stenosis. In total, MBF was underestimated by -7.9% to -44.9%. CONCLUSIONS The presented results reveal that local hemodynamics in the coronary vasculature appears to have a direct impact on CA bolus dispersion. Inclusion of atherosclerotic plaques resulted in a complex alteration of this effect, with both degree of area reduction and stenosis morphology affecting the amount of dispersion. This strong influence of vascular transport effects impairs the accuracy of MRI-based MBF quantification techniques and, potentially, other bolus-based perfusion measurement techniques like computed tomography perfusion imaging.
Constructions of uncontrolled state or event: The increase in productivity of a new argument structure in Old Spanish

Spanish and other Romance languages inherited from Latin the seeds of a new construction that is common to the syntax of some verbs belonging to the field of emotions, feelings, pain or modality. The semantic values of this construction are strange to prototypical transitivity and are coupled with a marked argument structure, compared with the more common transitive sentence.In the early centuries of the history of Spanish only a few verbs were integrated in the new scheme, which could receive an experience, modal or quantitative meaning, depending on an analogical association with certain frequent verbs. As the construction gained productivity, the importance of these few specific verbs as models for the newly integrated ones was reduced and the construction as a whole was understood in a more general sense of uncontrolled state or event.This paper provides a history of the construction in its different stages and tries to uncover the mechanism and factors that favored the increase in its productivity over the centuries. It also attempts to understand these facts from a typological standpoint, as an effect of some kind of a transitivity split that took place in Old Spanish, which gave rise to a type of marked construction, associated to some specific verbs.