Miracle-dz/UniFAR-FTUs huggingface dataset:
CARDIOVASCULAR DISEASE ANXIETY , DEPRESSION AND HYPERTENSION

Whereas the association of depression with cardiovascular disease is well established, the literature relating to anxiety disorders and cardiovascular disease is much less developed. There have been several studies which have examined the association of anxiety disorders with cardiovascular diagnoses, in particular with hypertension, an independent risk factor both for myocardial infarction and for stroke. Here mechanisms proposed for the association of depression and cardiovascular disease based on cytokines, platelets, the autonomic nervous system and illness behaviour are reviewed. The evidence linking anxiety disorders and cardiovascular disease is then examined. Focussing more specifically on hypertension, data on the associations of abnormal blood pressure with anxiety disorders and with depression are reviewed. While there is considerable evidence for associations of hypertension with panic disorder and some evidence for associations of hypertension with generalized anxiety disorder and depression, associations of low blood pressure with measures of psychological dysfunction have also been reported. Finally the evidence relating to the aetiology of the association of panic disorder with hypertension is explored, again relating to autonomic nervous system dysfunction, cytokines and platelets. A putative neurobiological model of panic and hypertension Simon J.C. Davies, Sean D. Hood, David Christmas et al. 2 involving autonomic nervous system dysfunction modulated by the neurotransmitter serotonin is presented.
1 Dynamic Carbohydrate Supply and Demand Model of Vegetative Growth : 2 Response to Temperature , Light , Carbon Dioxide , and Daylength 3

Predicting the growth response of seedlings from the environmental responses of 7 photosynthesis and metabolism may be improved by considering the dynamics of non8 structural carbohydrate, NSC, over a diurnal cycle. Attenuation of growth metabolism when 9 NSC content is low could explain why some NSC is conserved through the night. A 10 dynamic model, incorporating diurnal variation in NSC, was developed to simulate growth 11 of seedlings hour-by-hour. I compared predictions of this model to published growth and 12 NSC data for seedlings that varied according to temperature, light, day length, or CO2. 13 Prolonged-darkness experiments showed a temperature dependent upper limit on the 14 respiration capacity. Respiration was attenuated as NSC was depleted. Furthermore, when 15 NSC was high at dawn, inhibition of photosynthesis could attenuate the accumulation of 16 NSC under low temperature, or high light, or high CO2. These concepts were used to 17 simulate plant metabolism and growth rates and diurnal variation of NSC in tomato 18 seedlings under two light levels and various temperatures. Comparison of other results 19 using the same model parameters showed the dynamic model could predict results for 20 starch and starch-less plants, and when growth was affected by CO2 enrichment and day 21 length. 22
Structural changes of synthetic paulingite (Na,H-ECR-18) upon dehydration and CO2 adsorption

Abstract The structure of dehydrated calcined ECR-18, synthetic paulingite, topology type PAU, unit cell composition Na132H28Si512Al160O1344, has been determined by Rietveld refinement against synchrotron X-ray powder diffraction data. Upon dehydration the symmetry of Na,H-ECR-18 changes from Im3¯m $Im\bar 3m$ to I4¯3m, $I\bar 43m,$ with a corresponding decrease of cubic unit cell a parameter from 34.89412(1) Å to 33.3488(3) Å. This occurs as the framework distorts to afford closer coordination of Na+ cations by framework O atoms in 8-ring window sites of the seven cage types present. Na+ cations in 8R sites block the access of N2 molecules to the internal pore space at 77 K but CO2 adsorption at 308 K is observed, and is postulated to occur via a ‘trapdoor’ mechanism. In situ PXRD during CO2 adsorption at pressures up to 10 bar show reversible broadening of diffraction peaks that is attributed to local crystallographic strain.
Environmental Effects of Dredging Technical Notes Guidelines for Statistical Treatment of Less Than Detection Limit Data in Dredged Sediment Evaluations

This technical note provides recommendations for methods of handling less than detection limit data to permit statistical comparisons of sediment contaminant or bioaccumulation samples in dredged sediment evaluations. Ten censored data methods are evaluated; performance depends upon data characteristics such as equality of variances, type of frequency distribution, and the proportion of the data that is below detection limit.
Goji Berry (Lycium barbarum): Composition and Health Effects – a Review

Abstract Goji berries contain many nutrients and bioactive compounds which allowed to classify them as superfruits. A short description of the fruits is presented together with cultivation requirements. The chemical composition of the berries and their health-promoting properties are described later in this literature review. Based on the available data, their potentially beneficial application in dietary prevention of diseases of affluence, such as diabetes, cardiovascular diseases and cancer, is elaborated. We also refer to the safety of Goji consumption in the context of ingredients potentially harmful for human health, allergic reactions and the interactions with other substances.
Status : Proposal Title : Common-hole Filling for Boundary Noise Removal in VSRS Author :

This document describes the common-hole filling method for common hole in VSRS. The common hole arises when a certain region is uncovered in any reference view but in the virtual view. It is not a serious problem in the most of 3DV sequences but ‘Café’ sequence; because most of 3DV sequences have few common holes. The VSRS employs the inpainting method to fill those common-holes but it generates annoying textures. In order to reduce such artifacts, we proposed a hole filling method which is modified bilateral filtering incorporates the available depth values around the common-hole. It is a mask-based hole filling method; hence it is fast and simple. We have implemented this method in boundary noise removal method, and it is used for EEs on ‘Café’ sequence.
Facilitating cross-language retrieval and machine translation by multilingual domain ontologies

This paper presents a method for facilitating cross-language retrieval and machine translation in domain specific collections. The method is based on a semi-automatic adaption of a multilingual domain ontology and it is particularly suitable for the eLearning domain. The presented approach has been integrated into a real-world system supporting cross-language retrieval and machine translation of large amounts of learning resources in nine European languages. The system was built in the context of a European Commission Supported project Eurogene and it is now being used as a European reference portal for teaching human genetics.
Work Winners 2017 Team AutonOHM

This paper presents the team AutonOHM which won the RoboCup@Work competition in 2017. The tests to be performed during the RoboCup@Work 2017 competition are presented and a detailed description of the team’s hardware and software concepts are exposed. Furthermore, improvements for future participations are discussed.
The Main Challenge of Semi-Automatic Term Extraction Methods

Term extraction is the basis for many tasks such as building of taxonomies, ontologies and dictionaries, for translation, organization and retrieval of textual data. This paper studies the main challenge of semi-automatic term extractionmethods, which is the difficulty to analyze the rank of candidates created by these methods. With the experimental evaluation performed in this work, it is possible to fairly compare a wide set of semi-automatic term extraction methods, which allows other future investigations. Additionally, we discovered which level of knowledge and threshold should be adopted for these methods in order to obtain good precision or F-measure. The results show there is not a unique method that is the best one for the three used corpora.
Evidence for hypothalamic ketone bodies sensing : 1 impact on food intake and peripheral metabolic responses in mice 2 3

28 Monocarboxylates have been implicated in the control of energy homeostasis. Among them, 29 the putative role of ketone bodies produced notably during high fat diet (HFD) has not been 30 thoroughly explored. In this study, we aimed to determine the impact of a specific rise in 31 cerebral ketone bodies on food intake and energy homeostasis regulation. A carotid infusion 32 of ketone bodies was performed on mice to stimulate sensitive brain areas during 6 or 12 33 hours. At each time point, food intake and different markers of energy homeostasis were 34 analyzed to reveal the consequences of cerebral increase in ketone bodies level detection. 35 First, an increase in food intake appeared over a 12-hour period of brain ketone bodies 36 perfusion. This stimulated food intake was associated with an increased expression of the 37 hypothalamic neuropeptides NPY and AgRP as well as of phosphorylated AMPK and is due 38 to ketone bodies sensed by the brain as blood ketone bodies levels did not change at that time. 39 In parallel, gluconeogenesis and insulin sensitivity were transiently altered. Indeed, a 40 dysregulation of glucose production and insulin secretion was observed after 6 hours of 41 ketone bodies perfusion which reversed to normal at 12 hours of perfusion. Altogether, these 42 results suggest that an increase in brain ketone bodies concentration leads to hyperphagia and 43 a transient perturbation of peripheral metabolic homeostasis. 44
Salivary Cortisol, Testosterone and DHEA in Healthy University Male Students with Hyperleptinemia: Retrospective Cohort Study

Background: Cortisol, testosterone and DHEA are steroid hormones associated with youth physiology. The aim of this study was to evaluate the association of stress hormones with leptin, the hormone of obesity, in university male students. In this prospective cohort study, ninety university male students in the age range of 18 to 24 years were categorized into two groups; NL=Normal or Borderline Serum Leptin Level (<9.4 ng/ml); HL=High Serum Leptin Level (≥ 9.4 ng/ ml). In these groups, serum leptin and salivary levels for testosterone, dehydroepiendisterone (DHEA) and cortisol were immunoassayed. Correlation coefficients model analysis found that M-DHEA was significantly positively correlated with serum leptin in all subjects regardless of study group (r=- 0.248, p=0.003). The model analysis also found that body weight showed greater significant and positive correlation with serum leptin level than did BMI (NL: r=0.549 vs. 0.429, HL; r=0.517 vs. 0.422, respectively). A positive correlation between hyperlipidemia and hyperleptinemia was noted. Negative correlation was seen between M-DHEA and some obesity parameter including BMI and body weight and serum leptin. Elevated cortisol with declined DHEA balance was noted in this study. Our findings shed some light on the potential mechanisms linking obesity, stress and aging hormones in young men where leptin is the main obesity marker that promotes steroid hormones imbalance leading to maladaptation to chronic stress in young men. We observed that serum leptin levels are proportional to DHEA/cortisol imbalance and suggested to be a new indicator of chronic stress maladaptation in young obese males.
lgr 6 promotes the progression of gastric cancer through Pi 3 K / aKT / mTOr pathway

and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). OncoTargets and Therapy 2018:11 3025–3033 OncoTargets and Therapy Dovepress
Cutpoint Determination Methods in Survival Analysis using SAS®: Updated %FINDCUT macro

Statistical analysis that uses data from clinical or epidemiological studies, include continuous variables such as patient’s age, blood pressure, and various biomarkers. Over the years there has been increase in studies that focus on assessing associations between biomarkers and disease of interest. Many of the biomarkers are measured as continuous variables. Investigators seek to identify the possible cutpoint to classify patients as high risk versus low risk based on the value of the biomarker. Several data-oriented techniques such as median and upper quartile, and outcome-oriented techniques based on score, Wald and likelihood ratio tests are commonly used in the literature. Contal and O’Quigley (1999) presented a technique that used log rank test statistic in order to estimate the cutpoint. Their method was computationally intensive and hence was overlooked due to the unavailability of built in options in standard statistical software. In 2003, we had provided the %FINDCUT macro that used Contal and O’Quigley’s approach to identify a cutpoint when the outcome of interest was measured as time to event. Over the past decade demand for this macro has continued to grow that has led us to consider updating the %FINDCUT macro to incorporate new tools and procedures from SAS such as array processing, Graph Template Language, and the REPORT procedure. New and updated features will include: results presented in a much cleaner report format, user specified cut points, macro parameter error checking, temporary data set clean-up, preserving current option settings, and increased processing speed. We intend to present the utility and added options of the revised %FINDCUT macro using a real life dataset. In addition, we will critically compare this method with some of the existing methods and discuss the use and misuse of categorizing a continuous covariate.
SEARCH FOR GeV GAMMA-RAY BURSTS WITH THE ARGO-YBJ DETECTOR: SUMMARY OF EIGHT YEARS OF OBSERVATIONS

The search for gamma-ray burst (GRB) emission in the energy range of 1–100 GeV in coincidence with the satellite detection has been carried out using the Astrophysical Radiation with Ground-based Observatory at YangBaJing (ARGO-YBJ) experiment. The high-altitude location (4300 m a.s.l.), the large active surface (∼6700 m2 of Resistive Plate Chambers), the wide field of view (∼2 sr, limited only by the atmospheric absorption), and the high duty cycle (>86%) make the ARGO-YBJ experiment particularly suitable to detect short and unexpected events like GRBs. With the scaler mode technique, i.e., counting all the particles hitting the detector with no measurement of the primary energy and arrival direction, the minimum threshold of ∼1 GeV can be reached, overlapping the direct measurements carried out by satellites. During the experiment lifetime from 2004 December 17 to 2013 February 7, a total of 206 GRBs occurring within the ARGO-YBJ field of view (zenith angle θ ⩽ 45°) have been analyzed. This is the largest sample of GRBs investigated with a ground-based detector. Two light curve models have been assumed and since in both cases no significant excess has been found, the corresponding fluence upper limits in the 1–100 GeV energy region have been derived, with values as low as 10−5 erg cm−2. The analysis of a subset of 24 GRBs with known redshift has been used to constrain the fluence extrapolation to the GeV region together with possible cutoffs under different assumptions on the spectrum.
Transcriptomics as Precision Medicine to Classify In Vivo Models of Dietary-Induced Atherosclerosis at Cellular and Molecular Levels

The central promise of personalized medicine is individualized treatments that target molecular mechanisms underlying the physiological changes and symptoms arising from disease. We demonstrate a bioinformatics analysis pipeline as a proof-of-principle to test the feasibility and practicality of comparative transcriptomics to classify two of the most popular in vivo diet-induced models of coronary atherosclerosis, apolipoprotein E null mice and New Zealand White rabbits. Transcriptomics analyses indicate the two models extensively share dysregulated genes albeit with some unique pathways. For instance, while both models have alterations in the mitochondrion, the biochemical pathway analysis revealed, Complex IV in the electron transfer chain is higher in mice, whereas the rest of the electron transfer chain components are higher in the rabbits. Several fatty acids anabolic pathways are expressed higher in mice, whereas fatty acids and lipids degradation pathways are higher in rabbits. This reflects the differences between two translational models of atherosclerosis. This study validates transcriptome analysis as a potential method to precisely identify altered cellular and molecular pathways in atherosclerotic disease, which can be used to individualize treatment even in the absence of genetic data.
Query Recommendations by Example Conference or Workshop Item

In this demo paper, a SPARQL Query Recommendation Tool (called SQUIRE) based on query reformulation is presented. Based on three steps, Generalization, Specialization and Evaluation, SQUIRE implements the logic of reformulating a SPARQL query that is satisfiable w.r. t a source RDF dataset, into others that are satisfiable w.r. t a target RDF dataset. In contrast with existing approaches, SQUIRE aims at recommending queries whose reformulations: i) reflect as much as possible the same intended meaning, structure, type of results and result size as the original query and ii) do not require to have a mapping between the two datasets. Based on a set of criteria to measure the similarity between the initial query and the recommended ones, SQUIRE demonstrates the feasibility of the underlying query reformulation process, ranks appropriately the recommended queries, and offers a valuable support for query recommendations over an unknown and unmapped target RDF dataset, not only assisting the user in learning the data model and content of an RDF dataset, but also supporting its use without requiring the user to have intrinsic knowledge of the data.
Botulinum toxin type A and surgical crown lengthening in the management of severe gummy smile

ItalIan Journal of Dental MeDIcIne vol. 2/2-2017 Aim The search for esthetic excellence has become the main objective in the dental treatment. The gummy smile is one of the most common complaints from patients, since this condition may influence their self-esteem and social relationship. The beauty of the smile lies not only in shape, position and color of the teeth, but also in the characteristics of the gingival tissue, which should be as harmonious as the teeth. The development of new techniques, such as the application of botulinum toxin, may represent a more conservative treatment option, in comparison to surgical intervention, in the treatment of gummy smile. The purpose of this article is to present resective gingival surgery (gingivoplasty) with posterior application of botulinum toxin type A. Materials and methods A case is reported of a patient with severe dentogingival discrepancy and gummy smile, who was treated with gingival resection surgery and application of botulinum toxin type A in order to optimize the harmony of the smile. Results Resective gingival surgery promoted the increase of dental zenith and the application of botulinum toxin type A determined the uniform dehiscence of the upper lip. Conclusion The application of botulinum toxin, associated with gingival resective surgery, obtained the optimization and harmony of the smile, and, subsequently, increasing the patient quality of life.
Next Generation 2 MW Turboshaft and Turboprop Engines

Textron Lycoming of Stratford, Connecticut is incorporating the latest in advanced technology into turboshaft and turboprop engines for near term commercial service. The level of cold section technology being incorporated is the already demonstrated next generation of axi-centrifugal compressor beyond that which was developed for the U.S. Army T800, 0.9 MW turboshaft engine in the late 1980s. The compressor evolution is given special emphasis. The hot section technology is a robust, simplified, low cost, commercial endurance derate of the tri-service; US Army, US Navy, US Air Force and Textron Lycoming joint core engine [1] now on test. The new 2 MW commercial engine has substantially reduced fuel consumption, is lighter, and is smaller than today’s best engines. Engineering development is now underway and certification is slated to be completed in 1996.Copyright © 1993 by ASME
1 Prime ( Information ) Brokerage

This paper documents that hedge funds gain an information advantage from their prime brokerage services-providing banks regarding the banks’ corporate clients. We find that hedge funds make informed trades in the stocks of firms that obtain loans from their prime-broker banks. The connected hedge funds make abnormally large trades prior to the loan announcement and these trades display superior performance compared to other trades. The outperformance is greater for (i) trades of connected hedge funds that have higher revenue generation potential for prime brokers and (ii) trades in borrowing firms with higher information asymmetry. Finally, we find that the information edge connected hedge funds have is about the borrowing firm in general, rather than purely about the loan.
Correlated Time-Changed Lévy Processes

Carr and Wu (2004), henceforth CW, developed a framework that encompasses almost all of the continuous-time models proposed in the option pricing literature. Their main result hinges on the stopping time property of the time changes, but all of the models CW proposed for the time changes do not satisfy this assumption. In this paper, when the time changes are adapted, but not necessarily stopping times, we provide analogous results to CW. We show that our approach can be applied to all models in CW.