Miracle-dz/UniFAR-FTUs huggingface dataset:
The Vasculome of the Mouse Brain

The blood vessel is no longer viewed as passive plumbing for the brain. Increasingly, experimental and clinical findings suggest that cerebral endothelium may possess endocrine and paracrine properties – actively releasing signals into and receiving signals from the neuronal parenchyma. Hence, metabolically perturbed microvessels may contribute to central nervous system (CNS) injury and disease. Furthermore, cerebral endothelium can serve as sensors and integrators of CNS dysfunction, releasing measurable biomarkers into the circulating bloodstream. Here, we define and analyze the concept of a brain vasculome, i.e. a database of gene expression patterns in cerebral endothelium that can be linked to other databases and systems of CNS mediators and markers. Endothelial cells were purified from mouse brain, heart and kidney glomeruli. Total RNA were extracted and profiled on Affymetrix mouse 430 2.0 micro-arrays. Gene expression analysis confirmed that these brain, heart and glomerular preparations were not contaminated by brain cells (astrocytes, oligodendrocytes, or neurons), cardiomyocytes or kidney tubular cells respectively. Comparison of the vasculome between brain, heart and kidney glomeruli showed that endothelial gene expression patterns were highly organ-dependent. Analysis of the brain vasculome demonstrated that many functionally active networks were present, including cell adhesion, transporter activity, plasma membrane, leukocyte transmigration, Wnt signaling pathways and angiogenesis. Analysis of representative genome-wide-association-studies showed that genes linked with Alzheimer’s disease, Parkinson’s disease and stroke were detected in the brain vasculome. Finally, comparison of our mouse brain vasculome with representative plasma protein databases demonstrated significant overlap, suggesting that the vasculome may be an important source of circulating signals in blood. Perturbations in cerebral endothelial function may profoundly affect CNS homeostasis. Mapping and dissecting the vasculome of the brain in health and disease may provide a novel database for investigating disease mechanisms, assessing therapeutic targets and exploring new biomarkers for the CNS.
Improving the understanding of sleep apnea characterization using Recurrence Quantification Analysis by defining overall acceptable values for the dimensionality of the system, the delay, and the distance threshold

Our contribution focuses on the characterization of sleep apnea from a cardiac rate point of view, using Recurrence Quantification Analysis (RQA), based on a Heart Rate Variability (HRV) feature selection process. Three parameters are crucial in RQA: those related to the embedding process (dimension and delay) and the threshold distance. There are no overall accepted parameters for the study of HRV using RQA in sleep apnea. We focus on finding an overall acceptable combination, sweeping a range of values for each of them simultaneously. Together with the commonly used RQA measures, we include features related to recurrence times, and features originating in the complex network theory. To the best of our knowledge, no author has used them all for sleep apnea previously. The best performing feature subset is entered into a Linear Discriminant classifier. The best results in the “Apnea-ECG Physionet database” and the “HuGCDN2014 database” are, according to the area under the receiver operating characteristic curve, 0.93 (Accuracy: 86.33%) and 0.86 (Accuracy: 84.18%), respectively. Our system outperforms, using a relatively small set of features, previously existing studies in the context of sleep apnea. We conclude that working with dimensions around 7–8 and delays about 4–5, and using for the threshold distance the Fixed Amount of Nearest Neighbours (FAN) method with 5% of neighbours, yield the best results. Therefore, we would recommend these reference values for future work when applying RQA to the analysis of HRV in sleep apnea. We also conclude that, together with the commonly used vertical and diagonal RQA measures, there are newly used features that contribute valuable information for apnea minutes discrimination. Therefore, they are especially interesting for characterization purposes. Using two different databases supports that the conclusions reached are potentially generalizable, and are not limited by database variability.
Episodic Nonlinearity in Leading Global Currencies

We perform non-linearity tests using daily data for leading currencies that include the Australian dollar, British pound, Brazilian real, Canadian dollar, euro, Japanese yen, Mexican peso, and the Swiss franc to resolve the issue of whether these currencies are driven by fundamentals or exogenous shocks to the global economy. In particular, we use a new method of testing for linear and nonlinear lead/lag relationships between time series, introduced by Brooks and Hinich (J Empir Finance 20:385–404, 1999), based on the concepts of cross-correlation and cross-bicorrelation. Our evidence points to a relatively rare episodic nonlinearity within and across foreign exchange rates. We also test the validity of specifying ARCH-type error structures for foreign exchange rates. In doing so, we estimate Bollerslev’s (J Econom 31:307–327, 1986) generalized ARCH (GARCH) model and Nelson’s (1988) exponential GARCH (EGARCH) model, using a variety of error densities [including the normal, the Student-t distribution, and the Generalized Error Distribution (GED)] and a comprehensive set of diagnostic checks. We apply the Brooks and Hinich (1999) nonlinearity test to the standardized residuals of the optimal GARCH/EGARCH model for each exchange rate series and show that the nonlinearity in the exchange rates is not due to ARCH-type effects. This result has important implications for the interpretation of the recent voluminous literature which attempts to model financial asset returns using this family of models.
Thanks for (actually) responding! How citizen demand shapes politicians’ interactive practices on Twitter

Social media are frequently touted for their potential to strengthen democratic processes by bringing politicians and citizens into dialogue with one another. Social media may enrich the public sphere and improve democratic decision-making by allowing politicians and constituents to discuss matters of political import directly, free from intermediaries. But what factors impact whether this potential is realized? Previous research has focused on politicians’ structural incentives for strategic communication online but neglected the impact of citizen demand for politicians’ attention. I examine the role of citizen demand using an original dataset comprising the Twitter activity from and to members of the lower legislative houses in the Netherlands, United Kingdom, and United States during the latter half of October 2013. The data suggest that citizen demand plays a crucial role in determining the presence, as well as the extent, of politicians’ reciprocal engagement with members of the public.
A Novel Detection Model and Its Optimal Features to Classify Falls from Low- and High-Acceleration Activities of Daily Life Using an Insole Sensor System

In order to overcome the current limitations in current threshold-based and machine learning-based fall detectors, an insole system and novel fall classification model were created. Because high-acceleration activities have a high risk for falls, and because of the potential damage that is associated with falls during high-acceleration activities, four low-acceleration activities, four high-acceleration activities, and eight types of high-acceleration falls were performed by twenty young male subjects. Encompassing a total of 800 falls and 320 min of activities of daily life (ADLs), the created Support Vector Machine model’s Leave-One-Out cross-validation provides a fall detection sensitivity (0.996), specificity (1.000), and accuracy (0.999). These classification results are similar or superior to other fall detection models in the literature, while also including high-acceleration ADLs to challenge the classification model, and simultaneously reducing the burden that is associated with wearable sensors and increasing user comfort by inserting the insole system into the shoe.
New methods for examining expertise in burglars in natural and simulated environments: preliminary findings

Expertise literature in mainstream cognitive psychology is rarely applied to criminal behaviour. Yet, if closely scrutinised, examples of the characteristics of expertise can be identified in many studies examining the cognitive processes of offenders, especially regarding residential burglary. We evaluated two new methodologies that might improve our understanding of cognitive processing in offenders through empirically observing offending behaviour and decision-making in a free-responding environment. We tested hypotheses regarding expertise in burglars in a small, exploratory study observing the behaviour of ‘expert’ offenders (ex-burglars) and novices (students) in a real and in a simulated environment. Both samples undertook a mock burglary in a real house and in a simulated house on a computer. Both environments elicited notably different behaviours between the experts and the novices with experts demonstrating superior skill. This was seen in: more time spent in high value areas; fewer and more valuable items stolen; and more systematic routes taken around the environments. The findings are encouraging and provide support for the development of these observational methods to examine offender cognitive processing and behaviour.
The Pacific Oyster ( Crassostrea gigas ) Invasion in Scandinavian Coastal Waters : Impact on Local Ecosystem Services 10

Shellfish have always played an important role in subsistence and income for coastal communities. Shallow-water bivalve beds are easily accessible and have been exploited and overexploited for centuries. Depletion of stocks has lead to farming and aquaculture of many species. Few species, if any, have been as popular and successful as the the Pacific oyster (C. gigas). Its highly efficient filter feeding, high growth rates, massive repoductive output, and tolerance of a large range of abiotic conditions, has not only made it one of the world’s 20 most cultured species, but also one of the most invasive. This chapter tracks the Pacific oyster on its way towards the North-eastern corner of its European distribution, predicts its future distribution, and discusses the implications for local ecosystems.
Determination of Trace Levels of Iron in a Seawater Sample Using Isotope Dilution/Inductively Coupled Plasma Mass Spectrometry

An analytical method for trace levels of iron in a seawater sample using isotope dilution ICP-MS was developed. Preconcentration of iron and the removal of major elements in seawater such as alkali and alkaline-earth elements can be carried out quickly using a chelating resin disk by adjusting the sample pH to 3. The collision cell option of the ICP-MS instrument method was used to improve the performance of the instrument for iron measurements since ArO and ArN interferences could be reduced using this analytical method. About 4 ml min^−1 helium, as the collision gas, were introduced into the cell. ^40Ar^14N and ^40Ar^16O which interfere with ^54Fe and ^56Fe in water had their amounts decreased by 5 orders of magnitude. Then, the isotope dilution method was used for iron determination below ng g^−1 level of trace iron in four environmental reference materials (river water standard sample JAC-0031 (Japan Soc. for Analytical Chemistry), estuarine standard sample SLEW-2 (NRC Canada) and seawater standard samples CASS-3 and NASS-5 (NRC Canada)) were measured. Good agreement between analytical results and certified values of reference materials was obtained, which confirmed the effectiveness of this method.
Development and validation of a simple spectrophotometric method for quantification of chloride in polymeric materials

A simple analytical method was developed for determination of chloride content in polymeric materials. The procedure comprises of two steps, the dissolution of the polymer by alkaline fusion followed by indirect spectrophotometric analysis of the chloride based on the absorption at 460 nm of Fe(SCN)2+, a product of the reaction between chloride ion and a mixture of mercury (II) thiocyante and ferric ion. A non-linear calibration curve was constructed from 0.5 to 20 ppm with R2 = 0.9991; the limit of detection and quantitation were of 0.325 and 1.083 ppm, respectively. The recovery of the whole procedure was higher than 92.9 % with a RSD  2.4 %. The developed procedure was applied to animated poly(divinylbenzene-co-vinyl benzyl chloride) in order to investigate the extent of amination of the base material.
Fibroblast Growth Factor 2 Causes G2/M Cell Cycle Arrest in Ras-Driven Tumor Cells through a Src-Dependent Pathway

We recently reported that paracrine Fibroblast Growth Factor 2 (FGF2) triggers senescence in Ras-driven Y1 and 3T3Ras mouse malignant cell lines. Here, we show that although FGF2 activates mitogenic pathways in these Ras-dependent malignant cells, it can block cell proliferation and cause a G2/M arrest. These cytostatic effects of FGF2 are inhibited by PD173074, an FGF receptor (FGFR) inhibitor. To determine which downstream pathways are induced by FGF2, we tested specific inhibitors targeting mitogen-activated protein kinase (MEK), phosphatidylinositol 3 kinase (PI3K) and protein kinase C (PKC). We show that these classical mitogenic pathways do not mediate the cytostatic activity of FGF2. On the other hand, the inhibition of Src family kinases rescued Ras-dependent malignant cells from the G2/M irreversible arrest induced by FGF2. Taken together, these data indicate a growth factor-sensitive point in G2/M that likely involves FGFR/Ras/Src pathway activation in a MEK, PI3K and PKC independent manner.
The number needed to treat: a clinically useful measure of treatment effect

The relative benefit of an active treatment over a control is usually expressed as the relative risk, the relative risk reduction, or the odds ratio. These measures are used extensively in both clinical and epidemiological investigations. For clinical decision making, however, it is more meaningful to use the measure "number needed to treat. " This measure is calculated on the inverse of the absolute risk reduction. It has the advantage that it conveys both statistical and clinical significance to the doctor. Furthermore, it can be used to extrapolate published findings to a patient at an arbitrary specified baseline risk when the relative risk reduction associated with treatment is constant for all levels of risk.
Seamless Access to Healthcare Folders with Strong Privacy Guarantees

During the past decade, many countries launched ambitious Electronic Health Record (EHR) programs with the objective to increase the quality of care while decreasing its cost. Pervasive healthcare aims itself at making healthcare information securely available anywhere and anytime, even in disconnected environments (e.g., at patient home). Current server-based EHR solutions badly tackle disconnected situations and fail in providing ultimate security guarantees for the patients. The solution proposed in this paper capitalizes on a new hardware device combining a secure microcontroller (similar to a smart card chip) with a large external Flash memory on a USB key form factor. Embedding the patient folder as well as a database system and a web server in such a device gives the opportunity to manage securely a healthcare folder in complete autonomy. This paper proposes also a new way of personalizing access control policies to meet patient's privacy concerns with minimal assistance of practitioners. While both proposals are orthogonal, their integration in the same infrastructure allows building trustworthy pervasive healthcare folders.
Spatial Averaging of van Genuchten Hydraulic Parameters for Steady‐State Flow in Heterogeneous Soils: A Numerical Study

For meso‐ or regional‐scale Soil–Vegetation–Atmosphere Transfer (SVAT) schemes in hydroclimatic models, pixel dimensions may range from several hundred square meters to several hundred square kilometers. Pixel‐scale soil hydraulic parameters and their accuracy are critical for the success of hydroclimatic and soil hydrologic models. This study tries to answer a major question: What will be the effective and average hydraulic properties for the entire pixel (or footprint of a remote sensor) consisting of several textures if the soil hydraulic properties can be estimated for each individual texture? In this study, we examined the impact of areal heterogeneity in soil hydraulic parameters on soil ensemble behavior for steady‐state evaporation and infiltration. Using the widely used van Genuchten model and hydraulic parameter statistics obtained from neural network–based pedotransfer functions (PTFs) for various soil textural classes, we address the impact of areal hydraulic property heterogeneity on ensemble behavior and uncertainty in steady‐state vertical flow in large‐scale heterogeneous fields. The various averaging schemes of van Genuchten parameters are compared with “effective parameters” calculated by conceptualizing the areally heterogeneous soil formation as an equivalent homogeneous medium that will discharge approximately the same amount of ensemble flux of the heterogeneous soil. The impact of boundary conditions and parameter correlation on the effective parameters, as well as the accuracy and uncertainty of the averaging schemes for the hydraulic parameters, are investigated and discussed. In light of our results, we suggest the following guidelines for van Genuchten hydraulic parameter averaging: arithmetic means for Ks and n, a value between arithmetic and geometric means for α when Ks and α are highly correlated, and a value between geometric and harmonic means for α when Ks and α are poorly correlated.
Quantitation of serum angiopoietin-like proteins 3 and 4 in a Finnish population sample

We have developed and validated quantitative ELISAs for human angiopoietin-like (ANGPTL)3 and 4 and correlated their serum levels with parameters of lipid and carbohydrate metabolism. For this study, we used a random subsample of the Health 2000 Health Examination Survey consisting of 125 men and 125 women, aged 30–94 years. The anthropometric and biochemical parameters of subjects were characterized in detail. ANGPTL 3 and 4 levels were determined using the developed ELISAs. The intra- and inter-assay coefficients of variation for the assays were less than 15%. The average serum concentration of ANGPTL3 was 368 ± 168 ng/ml (mean ± SD) and for ANGPTL4 it was 18 ± 23 ng/ml (mean ± SD). ANGPTL4 serum levels displayed high variability between individuals ranging from 2 to 158 ng/ml. In post-heparin plasma, both ANGPTL 3 and 4 were increased. Low levels of ANGPTL3 were associated with decreased HDL-cholesterol and increased triglyceride levels. ANGPTL4 levels were positively correlated with FFAs (P = 0.044) and waist-hip ratio (P = 0.016). The developed ELISAs will be important tools to clarify the role of ANGPTL 3 and 4 in human energy metabolism and partitioning of triglycerides between sites of storage (adipose tissue) and oxidation (skeletal and cardiac muscle).
Vascular Endothelial Growth Factor (VEGF) Gene Promoter Polymorphisms and Disease Progression in North Indian Cohort with Autosomal Dominant Polycystic Kidney Disease

Autosomal dominant polycystic kidney disease (ADPKD) is characterized by a significant phenotypic variability in progression of the disease. Vascular endothelial growth factor (VEGF) has been reported to play a major role in renal pathophysiology. The aim of the present case-control study was to evaluate the association of two promoter polymorphisms (-2578C>A and-1154G>A) of VEGF gene and ADPKD. Genotyping was carried out in 123 ADPKD patients and 100 healthy controls, using a polymerase chain reaction-restriction fragment length polymorphism technique (PCR-RFLP). The genotype, allele and haplotype frequencies of these two polymorphisms in ADPKD patients were compared with those in controls, as well as in patients with early and advanced chronic kidney disease (CKD) stages, using Chi-square (χ2) test. The distribution frequency of CC, CA and AA genotypes of -2578C>A polymorphism differed significantly between patients and controls (0.31, 0.63 and 0.06 vs 0.37, 0.44 and 0.19, respectively (P=0.003)), but no significantly different genotype distribution was observed for the-1154G>A polymorphism. The A allele of -2578C>A and G allele of -1154G>A, were significantly more present in the controls as compared to the patients, and may provide protection for CKD under recessive (OR, 3.73; 95% CI, 1.45-9.62; P=0.0042), and dominant (OR, 0.55; 95%CI, 0.31-0.98; P=0.041) models. The [A;G] haplotype was more frequently present in controls (18%) than in cases (8%), (OR 0.398; 95% CI 0.22-0.71; P=0.002). These results suggest that the two promoter polymorphisms of VEGF may modify the disease risk in ADPKD patients from North India.
[Brachial artery flow-mediated dilation in healthy men, men with risk factors, and men with acute myocardial infarction. Importance of occlusion-cuff position].

INTRODUCTION AND OBJECTIVES Flow-mediated dilation (FMD) is endothelium-dependent and can be assessed by ultrasound in the brachial artery. We sought to determine the most suitable position for the occlusion cuff for the study of FMD in three groups of adult men. SUBJECTS AND METHODS We included 160 subjects, mean age 58.5 7.8 years: 40 healthy subjects, 80 with cardiovascular risk factors, and 40 patients with AMI. In a subgroup of 60 subjects, the first 10, 30, and 20 of each group, respectively, FMD was evaluated twice, after upper arm occlusion and forearm occlusion to induce hyperemia. RESULTS In the initial substudy, the FMD after upper arm occlusion was 7.6 2.4% in healthy subjects, 5.1 2.2% in men with risk factors (p < 0.0001), and 3.5 2.2% in AMI patients (p < 0.041, with respect to the risk-factor group). FMD after forearm occlusion was 4.6 1.5%, 2.3 2.1% (p < 0.006), and 2.2 1.9%, respectively, with no significant statistical differences between the risk-factor and AMI groups. Only upper arm occlusion was performed in the remaining participants, as planned, because it provided the most accurate information. Overall, the FMD was, respectively, 7.8 3.1%, 5 2.6% (p < 0.0001) and 3.3 3% (p < 0.004, with respect to the risk-factor group). FMD was directly related to HDL cholesterol and inversely related to resting diameter and number of risk factors. CONCLUSION The best approach to studying FMD is proximal occlusion since it allows for a better stratification of the with endothelial dysfunction. With this technique, a worsening of endothelial function in acute myocardial infarction can be demonstrated.