Miracle-dz/UniFAR-FTUs huggingface dataset:
Heurac: A heuristic-based tool for extracting refactoring data from open-source software versions

Refactoring is considered as a means to enhance software quality and maintainability. In pursuit of investigating trends in changes made via refactorings, this paper focuses on building a tool for detecting various refactorings performed on Java software. The tool automates the identification of refactorings as program transformations between consecutive software releases. For each release, Java source is parsed and key information about class entities is collected and saved as XML document. The XML tree representations corresponding to consecutive releases are compared according to a selected set of criteria, which define the refactorings to be identified. In doing so, our tool allows for empirical analysis of software development and aging from the perspective of refactorings transformations.
Pattern Anchoring, Identity and Signatures in Sound, Time and Space

The process of score following requires that the automated follower be capable of making robust decisions during a performance, especially in light of the number of errors that need to be accounted for between the live performer and the follower. Based on the idea of variable-length signatures for monophonic input we define a causal method for tracking location in score following. The signatures and their lengths are calculated prior to performance based on their novelty in a predetermined locality within the score. Results are shown using a graphical display that depicts the associations, determined by a score follower, between performed notes and the score. This display aids in visual evaluation of the performance of the score following process and specifically its capability of recovery following any of the performance aberrations.
Parallel Processing of Multiple Graph Queries Using MapReduce

Recently the volume of the graph data set is often too large to be processed with a single machine in a timely manner. A multi-user environment deteriorates this situation with many graph queries given by multiple users. In this paper, we address the problem of processing multiple graph queries over a large set of graphs. We devise several methods that support efficient processing of multiple graph queries based on MapReduce. Particularly, we focus on processing multiple queries for graph data in parallel with a single input scan. We show that our methods improve the performance of multiple graph query processing with various experiments. Keywords-parallel processing; MapReduce; graph query; big data;
THE EFFECT OF ETHANOLIC EXTRACT OF Syzygium cumini LEAVES ON THE GROWTH OF Streptococcus mutans PENGARUH EKSTRAK ETANOLIK DAUN JAMBLANG (Syzygium cumini) TERHADAP PERTUMBUHAN Streptococcus mutans

Streptococcus mutans plays an important role in the pathogenesis of caries. This bacteria has virulence properties involve in the formation of biofilm on tooth surface. Due to its antibacterial effect, Jamblang leaf/Syzygium cumini L may be used as an agent to prevent caries. This study aimed to elucidate the effects of ethanolic extract of Syzygium cumini L on the growth of S. mutans. Analysis of active compounds was carried out using thin layer chromatography (TLC) and Liquid Chromatograph-Mass Spectrography (LC-MS). Samples of S. mutans were isolated from children’s carious deciduous molar teeth. Growth test was done by dilusion technique. Aquadest was used as a negative control. TLC and LC-MS showed the presence of the flavonoid, tannin, and terpenoid Kruskall-Wallis test showed significant differences (p<0.05) among the groups, indicating that Jamblang leaves ethanolic extract decreased the growth of S.mutans. The higher concentrations of the extract, the less number of S.mutans colonies grown. No colony of S. mutans at 22.5% of extract’s concentration. Syzygium cumini L ethanolic extract reduces the growth of S. mutans. Concentration of 22.5% Syzygium cumini L ethanolic extract has bacteriocid effect.
NDT_A_200360 1287..1310

1Division of Health Care Sciences, Dresden International University, Dresden, Germany; 2Department of Family Medicine, Semmelweis University, Budapest, Hungary; 3Department of Neurology, Semmelweis University, Budapest, Hungary; 4Janos Szentagothai Doctoral School of Neurosciences, Semmelweis University, Budapest, Hungary; 5Department of Hydrodynamic Systems, Budapest University of Technology and Economics, Budapest, Hungary; 6Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA; 7Department of Neurology, Carl Gustav Carus University Hospital, Technische Universität Dresden, Dresden, Germany; 8Department of Psychosomatic Medicine and Psychotherapy, Carl Gustav Carus University Hospital, Technische Universität Dresden, Dresden, Germany Abstract: Depressive disorders are among the most important health problems and are
Bayesian VAR Forecasts, Survey Information and Structural Change in the Euro Area

Abstract We incorporate external information extracted from the European Central Bank’s Survey of Professional Forecasters into the predictions of a Bayesian VAR using entropic tilting and soft conditioning. The resulting conditional forecasts significantly improve the plain BVAR point and density forecasts. Importantly, we do not restrict the forecasts at a specific quarterly horizon but their possible paths over several horizons jointly since the survey information comes in the form of one- and two-year-ahead expectations. As well as improving the accuracy of the variable that we target, the spillover effects on “other-than-targeted” variables are relevant in size and are statistically significant. We document that the baseline BVAR exhibits an upward bias for GDP growth after the financial crisis, and our results provide evidence that survey forecasts can help mitigate the effects of structural breaks on the forecasting performance of a popular macroeconometric model.
Evaluation of The Improvement of Clinical and Radiological Scores with Doxycycline in the Treatment of Nasal Polyposis: A Randomized Double Blind Clinical Trial

Although several trials have been proposed for nasal polyposis (NP) treatment, but no standard guideline has been declared yet. We evaluated the effect of doxycycline on NP treatment. In a double- blind randomized clinical trial, 48 patients with bilateral nasal polyposis were assigned to receive doxycycline and placebo capsules for 8 weeks and were followed monthly for 4 months. Patients were assessed for polyp size, severity of symptoms and quality of life according to the endoscopic examination, VAS score, CT scanning and SNOT-22 respectively. polyp size reduced significantly after 8 weeks of treatment in the drug group. The quality of life score has raised significantly after 2 months of treatment with doxycycline. By giving –up the drug, severity of symptoms started to grow-up after 2 months. Although a course of doxycycline improved nasal symptoms, polyp size and CT findings, but further studies with more patients and longer follow-up course are required to establish the foundation to recommend this drug as an important treatment in NP.
A Decoupled 3D Facial Model by Adversarial Training Supplementary Material

One of the benefits of our framework lies in its ability to easily extend to other factors of variation. As an illustration, we trained a model that decouples identity, expression and viseme (the visual counterpart of a phoneme). The results can be found in Figure 1, where we show qualitative examples obtained by modifying the different factors of variation individually. We trained the model using the audiovisual 3D dataset of Fanelli et al. [1], which contains sequences of 14 subjects performing 40 speech sequences in neutral and “expressive” mode. We assign phoneme labels using the Montreal Forced Aligner tool [2] with the provided audio, which are mapped to visemes following [3]. For expression, we manually labeled 699 frames with the aid of the provided expression ratings of each sequence. This resulted in a database with 100% labeled identites, 68% labeled visemes, and 3% labeled expressions. We set the latent dimensions to (50, 50, 50, 5) for identity, expression, viseme and noise, respectively. Note this is a simplified model of speech, since the temporal information is not taken into account. Yet, we can see in Figure 1 that a decoupling between the aspects affected by phoneme production, and those affected by expressions such as happiness or surprise can be easily distinguished by our framework. It is also worth noting that these results were obtained with fully automatic labels for viseme, and very sparse manual labels for expression, thus simplifying the efforts required to annotate the dataset. Unlike the identity and expression factors, which are intuitively easier to separate, the viseme and expression factors are more intertwined and decoupling them is very challenging even for a human annotator. In spite of this, our results show that we can reasonably decouple the three factors.
A SiC JFET Driver for a 5 kW, 150 kHz Three-Phase Sinusoidal-Input, Sinusoidal-Output PWM Converter

Silicon carbide (SiC) power semiconductor devices are capable of being operated at higher voltages, frequencies and temperatures than silicon power devices. These SiC device capabilities will provide the power electronics designer with new possibilities to produce compact designs. Presently the JFET is the only controlled turn off/on SiC device that is close to commercialization and available as restricted samples. However the JFET is a normally-on device that requires a negative gate voltage to turn off. In order to correctly design a gate driver one must understand the characteristics of the JFET. This paper presents a description of the JFET semiconductor structure, and the SiC JFET’s static and dynamic characteristics from room temperature to 200°C. A SiC JFET gate driver circuit is presented and its performance described. The proposed gate driver improves the switching performance of the JFET by operating the gate in avalanche during the off time. KeywordsSilicon carbide; JFET; gate driver, hightemperature operation, static characteristic, dynamic characteristic
Impact of the γ ν NN* Electrocoupling Parameters at High Photon Virtualities and Preliminary Cross Sections off the Neutron

Meson-photoproduction measurements and their reaction-amplitude analyses can establish more sensitively, and in some cases in an almost model-independent way, nucleon excitations and non-resonant reaction amplitudes. However, to investigate the strong interaction from already explored—where meson-cloud degrees of freedom contribute substantially to the baryon structure—to still unexplored distance scales— where quark degrees of freedom dominate and the transition from dressed to current quarks occurs—we depend on experiments that allow us to measure observables that are probing this evolving non-perturbative QCD regime over its full range. Elastic and transition form factors are uniquely suited to trace this evolution by measuring elastic electron scattering and exclusive single-meson and double-pion electroproduction cross sections off the nucleon. These exclusive measurements will be extended to higher momentum transfers with the energy-upgraded CEBAF beam at JLab to study the quark degrees of freedom, where their strong interaction is responsible for the ground and excited nucleon state formations. After establishing unprece-dented high-precision data, the imminent next challenge is a high-quality analysis to extract these relevant electrocoupling parameters for various resonances that can then be compared to state-of-the-art models and QCD-based calculations. The vast majority of the available exclusive electroproduction cross sections are off the proton. Hence ﬂavor-dependent analyses of excited light-quark baryons are lacking experimental data off the neutron. The goal is to close this gap by providing exclusive γ ν ( n ) → p + π − reaction cross section off deuterium and to establish a kinematical ﬁnal-state-interaction (FSI) correction factor (R) map that can be determined from the data set itself. The “e1e”
Establishment of an air quality monitoring model for dust-free rooms using neural network and control chart techniques

Recently, high-tech industries such as semiconductor, aerospace, optoelectronics, precision manufacturing precision required for its products increasingly stringent and dust-free rooms operating environment of various pollutants control requirements are also increasing. Accuracy ventilation in dust-free room is related to the experimental results, proper ventilation can help reduce levels of pollution particles inside the laboratory. In addition to particle pollution exclusion, the pollution particles into the switch through the door, whether we can be inhibited by different ventilation position pollution particles into the lab, then laboratory ventilation should be a priority. Laboratory common sources of pollution, tiny particles such as micro-electromechanical laboratory processes generated by the air conditioning ventilation equipment into dust, biological experiments may leak off bacteria, these contaminated dust particles and bacteria accumulate even off the air in the operating environment, some will direct the human body after inhalation injury, and can cause damage and affect the accuracy of the experimental laboratory equipment. Key word: Dust-free room, pollution particles, ventilation equipment.
The Role of Algorithm in General Secondary Education Revisited

The traditional purpose of algorithm in education is to prepare students for programming. In our eﬀort to introduce the practically missing computing science into Czech general secondary education, we have revisited this purpose. We propose an approach, which is in better accordance with the goals of general secondary education in Czechia. The importance of programming is diminishing, while recognition of algorithmic procedures and precise (yet concise) communication of algorithms is gaining importance. This includes expressing algorithms in natural language, which is more useful for most of the students than programming. We propose criteria to evaluate such descriptions. Finally, an idea about the limitations is required (ineﬃcient algorithms, unsolvable problems, Turing’s test). We describe these adjusted educational goals and an outline of the resulting course. Our experience with carrying out the proposed intentions is satisfactory, although we did not accomplish all the deﬁned goals.
Fibrations Theory and Indexed Co-Inductive Data Types

In this paper we consider basic logical structures of indexed co-inductive data type (ICDT, in short) over a fibration such as truth and quotient functor. Wee present an indexed fibration, then propose the relation fibration and equation functor of indexed fibration, and construct co-recursive operation to analyze semantic behavior of ICDT and its co-inductive rule by coalgebra category and functor lifting. Finally, we briefly introduce the applications of Fibrations theory to ICDT by example.
Introduction to random signals and applied Kalman filtering : with MATLAB exercises and solutions

Probability and Random Variables: A Review. Mathematical Description of Random Signals. Response of Linear Systems to Random Inputs. Wiener Filtering. The Discrete Kalman Filter, State-Space Modeling, and Simulation. Prediction, Applications, and More Basics on Discrete Kalman Filtering. The Continuous Kalman Filter. Smoothing. Linearization and Additional Intermediate-Level Topics on Applied Kalman Filtering. More on Modeling: Integration of Noninertial Measurements Into INS. The Global Positioning System: A Case Study. Appendices. Index.
Low Expression of Occludin in the Melanoma Patient

Background & Objective: Malignant melanoma is the fatal cutaneous neoplasm which is curable by the early diagnosis. The expression of occludin protein which is an integral membrane protein is altered in an epithelial-to-mesenchymal transition. Although, recent studies provide sufficient evidence supporting the functional importance of occludin in cancer, the prognostic significance of occludin expression levels in melanoma remains obscure. The aim of this study was to determine occludin expression level and its correlation with clinicopathological features of the patients with melanoma. Methods: The occludin mRNA level was compared between paraffin-embedded tissues of 40 patients with melanoma and 10 subjects with normal skin. The quality and quantity of the RNA was determined and occludin expression level was measured using Real-time PCR and ∆∆CT computational technique. Results: The occludin mRNA level reduced five-fold in the melanoma patients compared to the control group (P=0.000). No significant difference was observed between male and female cases (P=0.533). No significant correlation was observed between occludin mRNA level, mitotic count (P=0.252), and Breslow levels (P=0.171) Conclusion: We can conclude that down-regulation of occludin expression in the patients with melanoma is a hallmark of cancer progression and it might be used as a prognostic factor. No significant correlation was found between occludin gene expression and clinicopathological characteristics including Clark level, Breslow staging, mitotic count, age and gender (P<0.05).
Modeling of Biologically Motivated Soft Matter Systems

4. Methodological Issues in Molecular Simulations . 22 4.1. How to Handle Long-Range Electrostatic Interactions . 23 4.2. Role of Random Numbers in Parallel Stochastic Simulations . 27 4.3. Role of Random Numbers in Dissipative Particle Dynamics Simulations . 31 4.4. How to Integrate Equations of Motion in DPD Simulations . 34
A SURVEY ON THE TOURISM IMPACTS OF THE FISHING ON ORFŰ FESTIVAL

Fishing On Orfű (FOO) festival started as a funny jamboree in 2008, and is going to be organised for the twelfth time in 2018. The event that develops year after year in content has reached the limits of its growth regarding the number of visitors and the tickets sold out in the last three years. The festival is held yearly in June and determines to a large extent the tourism sector of Orfű, also impacts to some extent the tourism of the neighbouring settlements. A questionnaire survey using a sample of more than 1,000 respondents was carried out in the June of 2015. The findings of the research concerning visitors of the FOO have already been published formerly. In this paper the focus is on the tourism impacts of the event where visitors are mainly yuppies coming from Pest (33.9%) and Baranya (24.2%) counties. Only one-third of the visitors attended the event for the first time and 54% of them declared their intent to return to the venue beyond the duration of the festival. The tourism of Orfű is significantly expanding and mostly based on the festival, nevertheless it became more vulnerable since tourism turnover reduced in other months than June when FOO is organized every year. However, 80% of tourists have been agreed that the good location contributes to the success of the festival, the event also able to significantly improve the reputation of Orfű and to shape its image. One of the foremost tasks of the destination is to reach festival participants with modern marketing tools in other periods of the year to increase the number of returning visitors and spill-over effect of the tourism economy based on the positive image of the settlement. 1 The research was conducted with the contribution of the students of the Illyés Gyula Special College of the University of Pécs. ● A survey on the tourism impacts of the fishing on Orfű Festival
TRAVELLING-WAVE BASED FAULT PROTECTION OF HIGH-VOLTAGE TRANSMISSION LINES FIELD OF THE INVENTION

(21) Appl. No.: 14/355.449 An improved method of fault detection in a high-voltage (22) PCT Filed: Nov. 1, 2011 direct current (HVDC) power transmission line is provided. The fault detection is based on fault-induced travelling (86). PCT No.: PCT/EP2011/0691.87 waves. The method comprises estimating an amplitude of fault-induced travelling waves at the fault location, and cal culating a fault resistance (R) based on the estimated ampli tude, an estimated pre-fault Voltage at the fault location, and a Surge impedance of the transmission line. The estimated fault amplitude and the estimated pre-fault Voltage are calcu S371 (c)(1), (2), (4) Date: Apr. 30, 2014
Control of Cl transport in the operculum epithelium of Fundulus heteroclitus: long- and short-term salinity adaptation

The eurohaline fish, Fundulus heteroclitus, adapts rapidly to enhanced salinity by increasing the ion secretion by gill chloride cells. An increase of f 70 mOsm in plasma osmolarity was previously found during the transition. To mimic this in vitro, isolated opercular epithelia of seawater-adapted Fundulus mounted in a modified Ussing chamber were exposed to an increase in NaCl and/or osmolarity on the basolateral side, which immediately increased ISC. Various Cl channel blockers as well as the K channel blocker Ba + added to the basolateral side all inhibited the steady-state as well as the hypertonic stimulation of ISC. The a-agonist isoproterenol stimulates ISC in standard Ringer solutions. In contrast, when cell volume was kept at the larger value by simultaneous addition of water, the stimulation with isoproterenol was abolished, suggesting that the key process for activation of the Na, K, 2Cl cotransporter is cell shrinkage. The protein kinase C (PKC) inhibitor chelerythrine and the myosin light chain kinase (MLCK) inhibitor ML-7 had strong inhibitory effects on the mannitol activation of ISC, thus both MLCK and PKC are involved. The two specific protein kinase A (PKA) inhibitors H-89 and KT 5720 had no effect after mannitol addition whereas isoproterenol stimulation was completely blocked by H-89. This indicates that PKA is involved in the activation of the apical Cl channel via c-AMP whereas the shrinkage activation of the Na, K, 2Cl cotransporter is independent of PKA activation. The steady-state Cl secretion was stimulated by an inhibitor of serine/threonine phosphatases of the PP-1 and PP-2A type and inhibited by a PKC inhibitor but not by a PKA inhibitor. Thus, it seems to be determined by continuous phosphorylation and dephosphorylation involving PKC but not PKA. The steady-state Cl secretion and the maximal obtainable Cl secretion were measured in freshwater-adapted fish and in fish retransferred to saltwater. No ISC could be measured in freshwater-adapted fish or in the fish within the first 18 h after transfer to saltwater. As evidenced from Western blot analysis using antiserine-antibodies, a heavily serine phosphorylated protein of about 190 kDa was consistently observed in the saltwater-acclimated fish, but was only weakly present in freshwater-acclimated fish. This observation indicates that acclimatization to saltwater stimulates the expression of this 190-kDa protein and/or a serine/threonine kinase, which subsequently phosphorylates the protein. D 2002 Elsevier Science B.V. All rights reserved.