Miracle-dz/UniFAR-FTUs huggingface dataset:
in dialysis practice : haemodialysate

The intended functionof dialysatefluid is to correct the composition of uraemic blood to physiologic levels, both by reducing the concentration of uraemic toxins and correcting electrolyte and acid–base abnormalities. This is accomplished principally by formulating a dialysatewhose constituent concentrations are set to approximate normal values in the body. Sodium balance is the cornerstone of intradialysis cardiovascular stability and good interdialytic blood pressure control; plasma potassium concentration and its intradialytic kinetics certainly play a role in the genesis of cardiac arrhythmias; calcium is related to haemodynamic stability,mineral bone disease and also cardiac arrhythmias; the role ofmagnesium is still controversial; lastly, acid buffering bymeans of base supplementation is one of the major roles of dialysis. In conclusion, learning about the art and the science of fashioning haemodialysates is one of the best ways to further the understanding of the pathophysiologic processes underlying myriad acid–base, fluid, electrolyte as well as blood pressure abnormalities of the uraemic patient on maintenance haemodialysis.
Determining the Accuracy of Crowdsourced Tweet Verification for Auroral Research

The Aurorasaurus project harnesses volunteer crowdsourcing to identify sightings of an aurora (the “northern/southern lights”) posted by citizen scientists on Twitter. Previous studies have demonstrated that aurora sightings can be mined from Twitter with the caveat that there is a large background level of non-sighting tweets, especially during periods of low auroral activity. Aurorasaurus attempts to mitigate this, and thus increase the quality of its Twitter sighting data, by using volunteers to sift through a pre-filtered list of geolocated tweets to verify real-time aurora sightings. In this study, the current implementation of this crowdsourced verification system, including the process of geolocating tweets, is described and its accuracy (which, overall, is found to be 68.4%) is determined. The findings suggest that citizen science volunteers are able to accurately filter out unrelated, spam-like, Twitter data but struggle when filtering out somewhat related, yet undesired, data. The citizen scientists particularly struggle with determining the real-time nature of the sightings, so care must be taken when relying on crowdsourced identification.
Single Image Mesh Reconstruction : Solving for 2 D Data

Our goal is to develop a deep learning architecture that learns the topology and produces a 3D triangular mesh, just from a single image. In this work, we draw parallels between the three dimensional and its two dimensional counterpart. After, reducing the problem to two dimension, we propose a deep learning architecture that learns to produce multiple polygons. Our current method is based on graph convolutions along with reinforcement learning.
The Impact of Economic Growth and Tax Reform on Tax Revenue and Structure: Evidence from China Experience

This paper aims to study the mechanism of how economic growth and tax reform affect total tax revenue and structure over the period (1950-2011). On the basis of the introduction of China’s previous main measures in tax reform, this paper uses methods as descriptive statistics, multi-segment linear regression model and principal component analysis to analyze how economic growth and tax reform affect the total tax revenue and structure mainly from three aspects as the total amount of the tax, the value-added tax and the corporate income tax, which are under the background of tax reform. The empirical results show that economic growth not only has a significant impact on the total tax revenue and structure changes, but also has a long-term stability relationship with total tax revenue. And in a long term, there is no extraordinary growth of tax revenue. In addition, every tax reform shows a clear impact on the tax structure, while the impact of changes in the total tax revenue is diminishing over time.
Comparative Study of Clustering Algorithms using R

Data is everywhere around us and with the rapid improvements of technology, collecting data is becoming easier. Data is key resource in every field and thus data mining has gained immense popularity. In this paper, we will be looking at clustering techniques, which is one of the types of data mining. A comparative study is performed on K-means, Fuzzy C-means and Hierarchical using R. Two data sets are taken in this paper. First, is the Iris data set and second is the breast cancer data set. Both are taken from the UCI repository for conducting the comparative study. The comparison is based on the algorithm’s ability to properly cluster the data in the appropriate class.
Investigating Market Structure of the Greek Food and Beverages Manufacturing Industry: A Hall-Roeger Approach

This paper investigates the market structure of the Greek food and beverages manufacturing industry over the period 1984–2007 at the three-digit SIC level. Based on the Hall-Roeger approach (1995), three models are used to investigate the competitive conditions in the industry. The first model (Hall-Roeger model) assesses the markup in the whole industry over the period 1984–2007. The second model (HallRoeger cross-sectional model) tests the extent of the markup for each of the nine sectors of the industry over the period 1984–2007, whereas the third (Hall-Roeger time-series model) estimates the markup for the whole industry for certain sub-periods of the period 1984–2007. The present paper also investigates factors affecting the markup in the Greek food and beverages manufacturing industry during the period 1984–2007. The empirical results indicate that the whole Greek food and beverages manufacturing industry, as well as each sector of the industry, operates in non-competitive conditions during the period 1984–2007. Furthermore, the industry operates in non-competitive conditions for certain sub-periods of the period 1984–2007. The findings also support the view that the sector size, capital intensity and the number of establishments influence the markup in Greek food and beverages manufacturing during the period 1984–2007
Increasing Lump Ores Proportion in Blast Furnace Based on the High-temperature Interactivity of Iron Bearing Materials

In this work, the feasibility of increasing lump ores proportion in blast furnace (BF for short) was investigated. The results showed: (1) Not only the physical and chemical properties, but also the metallurgical properties of lump ores, such as the reducibility, thermal decrepitation properties and softening properties, were not worse than those of the pellets, so the BF production would not be influenced greatly when the pellets were replaced by lump ores. (2) The own softening and melting properties of the lump ores (pellets) were dramatically improved by interaction between sinters and lump ores (pellets) found in the experiments, while there was no obvious interaction between lump ores and pellets, pellets and pellets, lump ores and lump ores. The interaction occurred with the contact of burden as in BF, and the main reaction product was CaFeSiO4. Except temperature, the reaction was influenced by the chemical composition, micro-structure and contact conditions, and so on. (3) The softening and melting properties of the integrated furnace charge were improved, and the high-temperature interactivity of iron bearing materials was enhanced when the proportion of lump ores increased and the proportion of pellets decreased, for the reactivity of the lump ore was stronger than that of the pellets. (4) Furthermore, the collocation pattern of lump ores and ratio between lump ores was optimized according to interaction. When the proportion of lump ores was up to 23% at the excellent collocation pattern and appropriate ratio, the burdens still conformed to the requirements of ironmaking.
Remarks on the lifetime of sterile neutrinos and the effect on detection of rare meson decays M+ →m′-ℓ+ℓ+

We review the detection of the Delta L=2 semileptonic meson decays of the form M(+) -> M'(-) lepton(+) lepton(-) that we studied in a previous work, mediated by a Majorana neutrino with a mass in the range between the masses of the initial and final mesons. For such range of masses, the Majorana neutrino will go on its mass shell and the two charged leptons will appear at displaced vertices or, if the lifetime is long enough, most secondary vertices will fall outside the detector. We study the consequences of this effect on the experimental searches and limits that can be extracted.
Validity and reliability study of the self-efficacy scale in rendering piano education to children of 6-12 years

This study was conducted in order to develop a valid and reliable scale that can be used in measuring self-efficacy of candidate music teachers in rendering piano education to children of 6-12 years. To this end, a pool of 51 items was created by using the literature, and taking the opinions of piano professors and piano instructors working with this very age group through open ended questions. This measurement tool was applied to a sample of 260 students in 1st, 2nd, 3rd and 4th grades in music education in fine arts divisions, Mehmet AkifErsoy University, Adnan Menderes University, Pamukkale University and Balıkesir University, Turkey. An explanatory factor analysis was conducted to determine the construct validity under the validity and reliability study of the self-efficacy scale in rendering piano education to children of 6-12 years. According to the explanatory factor analysis, the scale was composed of four sub-dimensions that explain 49.08% of the total variance. Reliability analysis was conducted by calculating the test item-total correlation, Cronbach Alpha internal consistency coefficient and Spearman Brown two-half test correlation; Cronbach Alpha coefficient was found as . 947 and the two-half test correlation as . 851 for the entire scale in general. Under the findings of this study, we can suggest that this scale is a valid and reliable measurement tool in determining selfefficacy of candidate music teachers in rendering piano education to children at the age group of 6-12.
marriage ? What determines change in the division of housework over the course of

This article analyses the changing division of housework between husbands and wives in western Germany. Using representative longitudinal data from the Bamberg Panel Study of Married Couples, the authors analyse how the division of household labour changes over the first 14 years of marriage. In particular, they assess when and under what conditions the husband’s share of traditionally ‘female’ housework increases or decreases. They consider shifts in spouses’ employment hours, relative earnings and family transitions as time-varying predictor variables in event-history models. It is found that almost half of all newlyweds begin by sharing household tasks equally. But over the course of marriage, the husband’s contribution to housework declines significantly, mostly independent of spouses’ income or working hours. The husband increasing his share of housework is uncommon, even when the wife works longer hours or realizes higher earnings. Traditional gender norms seem to trump earnings. This is particularly true when children are born.
ayesian hierarchical modeling of Pacific geoduck growth increment data and limate indices homas

Growth increment widths from hard structures of marine and freshwater fish and bivalve species are increasingly used to model growth and elucidate relationships with environmental variability. Fully characterizing the intrinsic age-related growth variation among individuals within and between populations, while estimating the extrinsic environmental effects simultaneously, can be challenging. Using the long-lived bivalve Pacific geoduck (Panopea generosa), we develop an integrated approach to analyze the relationship between growth increment data and climate indices using Bayesian hierarchical methods. Fitting models to growth increment data from multiple individuals over two sites, we examined different covariance structures related to random individual effects, longand short-term environmental effects and unexplained errors. The best fitting hierarchical model accounted for a site-specific mean growth response, individual growth variability through random parameter effects, and site-specific error variances. Extrinsic environmental effects on growth were also significant and included a random year effect ierarchical model orth Pacific Ocean and the Pacific Decadal Oscillation (PDO) as a predictor of mean growth across both individuals and sites. Once intrinsic age-related growth was accounted for, PDO accounted for 18% to total variability in growth increment data; geoduck shell size was predicted to increase as a function of larger PDO anomalies. However, the greatest variability in growth increment data was explained by random year effects (∼60–70%), and while largely unexplained, sea surface temperature (SST) is a likely determinant on geoduck growth grow rates showing a positive
Cyber vigilantism, transmedia collective intelligence, and civic participation

Emerging media afford netizens the opportunity to participate in critical civic discourse by collaboratively constructing and sharing previously inaccessible information across multiple platforms. This paper examined the communicative behaviors constituting the recent phenomenon of cyber vigilantism (human flesh search) in China, particularly how emerging media have been appropriated for online searches to hunt for personal information about social deviants to restore public morality. Our findings suggest that the identification of corrupt officials and circulation of their private data online amplified attention on their abuse of power and pressured the authorities toward greater accountability. Blogs, forums, and social networking sites helped support the expression of alternative public opinions. Novel mash-ups further stimulated the transmediation of political parodies that challenged state discourse across video-sharing sites. This article concludes with implications and recommendations for critical and comparative research toward a broadened and culturally nuanced notion of civic participation.
How much is determined by Syntax? An empirical Approach to the Position of the Direct Object in Persian

Several theoretical studies (e.g. Browning & Karimi 1994; Karimi 2003; Ghomeshi 1997; Ganjavi 2007) claim that rā-marked (definite and/or specific) direct objects (DOs) occupy a higher position than their non-rā-marked (indefinite non-specific) counterparts. One of the main arguments to support this claim is the unmarked relative order between the direct and the indirect object (IO), which is broadly assumed to be IO−DO[-rā]−V and DO[+rā]−IO−V (e.g. Mahootian 1997; Rasekhmahand 2004; Roberts 2009). In this paper, we provide empirical evidence against such a dichotomous view. We have conducted a corpus-based study (Faghiri & Samvelian, 2014) and experimental follow up studies (Faghiri et al., 2014; Faghiri, forthcoming) to investigate ordering preferences between the DO and the IO in the preverbal domain. In addition to the realization of the DO, we have taken into account other potentially influential factors such as relative length, givenness, collocationality and lexical bias, via mixed-effect regression modeling, in line with key empirical studies on word order variations (e.g. Wasow 2002). The data reveal that while rā-marked DOs show a strong preference to appear before the IO, among different non-rā-marked DOs, i.e. bare nouns ketāb, bare noun with modifiers ketāb-e akkāsi and indefinite/numeral NPs ye ketāb(-i), only bare nouns show a strong preference for adjacency to the verb. Interestingly, indefinite (non-rā-marked) DOs show a clear preference for the inverse, grouping thus with rā-marked DOs. Moreover, extra syntactic factors such as relative length also play a significant role on these ordering preferences. Accordingly, we argue that the ordering preferences observed for different types of DOs is best reflected by a continuum based on the degree of conceptual and/or discourse accessibility. Consequently, any structural account of the latter would lead to wrong predictions. We furthermore examine other arguments provided to support a dual-position account and present some counterexamples that question their validity. Thus, in line with Samvelian (2001), we refute a dual syntactic position account of the DO.
The Possible Submillimeter Bump and Accretion-jet in the Central Supermassive Black Hole of NGC 4993

NGC 4993, as a host galaxy of the electromagnetic counterpart of the first gravitational-wave detection of a binary neutron-star merger, was observed by many powerful telescopes from radio to γ-ray wavebands. The weak nuclear activities of NGC 4993 suggest that it is a low-luminosity active galactic nuclei (LLAGNs). We build the multiwaveband spectral energy distributions (SEDs) of NGC 4993 from the literature. We find that the radio spectrum at ∼100–300 GHz is much steeper than that of the low-frequency waveband (e.g., 6–100 GHz), where this break was also found in the supermassive black holes (SMBHs) in our galaxy center (Sgr A*), and in some other nearby AGNs. The radio emission above and below this break may have different physical origins, which provide an opportunity to probe the accretion and jet properties. We model the multiwaveband SEDs of NGC 4993 with an advection-dominated accretion flow (ADAF) jet model. We find that the high-frequency steep radio emission at the millimeter waveband is consistent with the prediction of the ADAF, while the low-frequency flat radio spectrum is better fitted by the jet. Furthermore, the X-ray emission can also be simultaneously explained by the ADAF model. From the model fits, we estimate important parameters of the central engine (e.g., the accretion rate near the horizon of the black hole and the mass-loss rate in the jet) for NGC 4993. This result strengthens the theory that the millimeter, submillimeter, and deep X-ray observations are crucial to understanding the weak or quiescent activities in SMBH systems. Further simultaneous millimeter and X-ray monitoring of this kind of LLAGN will help us to better understand the physical origin of multiwaveband emission.
Control Rods Drop Failure On Reactors Stability And Safety

This paper examined the control rod drop-failure in nuclear power plants. Safety margin test was conducted on some typical water-cooled reactor design (WCRD) models at an accident situation, secondly safety margin test was carried out on the thermal efficiency and thermal power output of the reactor when power supply failed and thirdly, safety margin test was perform on the reactor in relation to the high temperature within reactor core and the fuel temperature. The results of the statistical analysis on these types of nuclear reactor models reveals that the typical water-cooled reactor design (WCRD) models promises most stability under thermal efficiency of 45% and above. Meanwhile, at anything below 45% thermal efficiency the fuel element seems to be unstable in the reactor as the regression plot could not find it optimal. At this point the fuel temperature seems at maximum, the reactor agrees to be stable as the regression plot was at the best fit, that is the least squares method finds its optimum when the sum, S , of squared residuals became minimal. Safety margin prediction of 4.42% was validated for a typical WCRD model as an advantage over the current 5.1% challenging problem for plant engineers to predict the safety margin limit. Keywords: water-cooled reactor design models, control rods drop failure, high fuel temperature, thermal efficiency and thermal power, reactor stability and safety.
Using Historical Precipitation Patterns to Forecast Daily Extremes of Rainfall for the Coming Decades in Naples (Italy)

The coasts of the Italian peninsula have been recently affected by frequent damaging hydrological events driven by intense rainfall and deluges. The internal climatic mechanisms driving rainfall variability that generate these hydrological events in the Mediterranean are not fully understood. We investigated the simulation skill of a soft-computing approach to forecast extreme rainfalls in Naples (Italy). An annual series of daily maximum rainfall spanning the period between 1866 and 2016 was used for the design of ensemble projections in order to understand and quantify the uncertainty associated with interannual to interdecadal predictability. A predictable structure was first provided, and then elaborated by exponential smoothing for the purposes of training, validation, and forecast. For the time horizon between 2017 and 2066, the projections indicate a weak increase of daily maximum rainfalls, followed by almost the same pace as it was in the previous three decades, presenting remarkable wavelike variations with durations of more than one year. The forecasted pattern is coupled with variations attributed to internal climate modes, such as the Atlantic Multidecadal Oscillation (AMO) and the Pacific Decadal Oscillation (PDO).
( preliminary and incomplete ) Monetary Policy and Corporate Bond Fund Fragility ∗

This paper examines the effects of monetary policy on the fragility of U.S. corporate bond mutual funds. We empirically show that, despite better funds’ performance, loose monetary policy exacerbates the fragility of corporate bond funds, measured by the sensitivity of outflows to negative performance. We rationalize this phenomenon through a global game model with an endogenous liquidity risk premium. In the equilibrium, liquidity risk is compensated but strategic complementarity discount is not. In a relatively liquid market where complementarity discount is modest, the discounted fund return decreases faster when lowering the interest rate, incentivizing investors to run from the fund. Moreover, the model predicts that in a liquid (illiquid) market, the fund becomes more (less) fragile as monetary policy uncertainty increases. Our empirical analysis supports these predictions. The results highlight the unintended impacts of monetary policy on the asset management sector.
Source Camera Identification using Image Features

With the advent of technology, there are a number of digital cameras available in the market that can capture images excellently. Identification of cameras used in capturing the images is essential in applications including image forgery detection. Researchers have explored methods to identify the source camera of a given image using lens distortion, color filter array and demosaicing artifacts. This work proposes a method for identifying source camera based on a set of image features. Identification of source camera has been done using supervised learning technique and classification using Support Vector Machine (SVM). Experimental results show good classification, which proves the efficiency of this method.
PR ] 3 0 A pr 2 01 6 A stroll along the gamma

We provide the first in-depth study of the “smart path” interpolation between an arbitrary probability measure and the gamma-(α, λ) distribution. We propose new explicit representation formulae for the ensuing process as well as a new notion of relative Fisher information with a gamma target distribution. We use these results to prove a differential and an integrated De Bruijn identity which hold under minimal conditions, hereby extending the classical formulae which follow from Bakry, Emery and Ledoux’s Γ-calculus. Exploiting a specific representation of the “smart path”, we obtain a new proof of the logarithmic Sobolev inequality for the gamma law with α ≥ 1/2 as well as a new type of HSI inequality linking relative entropy, Stein discrepancy and standardized Fisher information for the gamma law with α ≥ 1/2. AMS classification: 60E15, 26D10, 60B10