Miracle-dz/UniFAR-FTUs huggingface dataset:
Small-Signal Stability Analysis of Type-4 Wind in Series-Compensated Networks

Type-4 wind is claimed to be immune from subsynchronous resonances (SSRs) that have been experienced by Type-3 wind with radial connection to series compensated lines. In this paper, we examine this claim through simplified analytical model building, analysis based on linearized models, and validation against electromagnetic transient (EMT) testbeds with full details. Two analytical models of Type-4 wind farm with radial connection to a series compensated line are built in $dq$-frames. The main difference of the two models is in grid-side converter (GSC)'s control mode, with one model assuming real power control and the other assuming dc-link voltage control. Relying on the analytical models, an efficient approach is demonstrated to obtain frequency-domain impedance models. Small-signal analysis is carried out using eigenvalue analysis and frequency-domain impedance model-based analysis. Potential stability risk is demonstrated, which is due to interaction of a mode associated to voltage source converter (VSC) in weak grid (termed as “weak grid mode”) and a mode associated to network LC resonance. The weak grid mode is influenced by grid strength and VSC control parameters, including phase-locked-loop (PLL) parameters. The small-signal analysis results are validated against two EMT testbeds with full details in MATLAB/SimPowerSystems and PSCAD/EMTDC, respectively.
Big Data and Their Social Impact: Preliminary Study

Big data is the buzz-word of today, and yet their specific impact on individuals and societies remains assumed rather than fully understood. Clearly, big data and their use have already given rise to a number of questions, including those of how data can be collected and used in ethical and socially sensitive ways. Building on these points, the objective of this study was to explore how precisely big data and big data based services influence individuals and societies. This paper elaborates on individuals’ perceptions of data, especially on how they perceive the actual sharing of their data. In this way, this paper defines a value space for the social impact of big data relevant to three factors, namely the intention to share personal data, individual’s concerns, and social impact of big data.The main contribution of this study consists of the insights into the still nascent area of research that unfolds at the cross-section of social science and computer science. We expect that in the next years this area of research will gain prominence.
Labeling by denotational types

The labeling algorithm proposed by Chomsky (2013), when justified by a principle of legibility at the interface with semantics (Rizzi 2016), requires a many-to-one correspondence between syntactic labels and denotational types. In this paper I explore the view that syntactic nodes are directly labeled by denotational types, via a limited set of rules which only make reference to the labels of the daughter nodes, complying with compositionality/minimal search. I show that such a labeling system accounts for successive cyclic wh-movement as a derivational step driven by detectable type mismatch within narrow syntax; this also extends to Quantifier Raising, which, from this perspective, is triggered in the same way. The labeling system also allows for arguments saturating the valence of a predicate and for free adjunction of two nodes bearing conjoinable types, accounting for Chomsky’s “unstructured coordination” and for depictive secondary predicates.
The use of cell free DNA in the diagnosis of HCC

Hepatocellular carcinoma (HCC) is one of the most common malignant tumors worldwide and is associated with high mortality. The currently used methods for diagnosing HCC, including imaging modalities and liver biopsy, detect tumors at a relatively advanced stage or are invasive. Non-invasive biomarkers are urgently needed to facilitate screening and early diagnosis of HCC, as well as treatment monitoring and detection of tumor recurrence. Liquid biopsy, the analysis of blood or other body fluids to obtain genetic and epigenetic information, has historically been applied to other types of cancer including breast and prostate cancer. Over the past few decades, liquid biopsy analysis has shed significant insights on genetic and epigenetic aberrations in HCC detectable in peripheral blood. Aberrations in nucleic acids found circulating freely in body fluids or contained within extracellular vesicles such as exosomes or microvesicles show potential clinical utility as non-invasive biomarkers. In this review, we present available literature on cell-free nucleic acids in the diagnosis of HCC.
In-Vivo Anti-Inflammatory Activity of an Methanolic Extract of Fraxinus Micrantha *

Introduction: Inflammation is the response of living tissues towards an injury which involves a complex array of enzyme activation, mediator release and extravasations of fluid, cell migration, tissue breakdown and repair. Various anti-inflammatory synthetic drugs available in the market are of least interest due to their side effects. In the local medicines the bark infusion of Fraxinus micrantha is used for the treatment of liver enlargement and jaundice. Aim: In the present study, the in-vivo anti‐inflammatory effect of an methanolic extract of Fraxinus micrantha investigated. Methods: The anti‐inflammatory effect was evaluated using the Carrageenan‐induced mice pedal (paw) oedema model. Results: Administration of 10mg/kg of an methanolic extract of the aerial parts of Fraxinus micrantha produced significant anti‐inflammatory effects against carrageenan‐induced acute inflammation in mice that was comparable to one of the standard drug (Phenylbutazone) used in the treatment. Conclusions: The present findings indicate that F. micrantha has genuine anti‐inflammatory properties, lending pharmacological support to the folklore or anecdotal use of the plant in the treatment and/or management of painful inflammatory conditions.
Publish or peer-rich ? The role of skills and networks in hiring economics professors ☆

This paper analyzes the determinants of success at the concours d'agrégation en sciences économiques. This is a centralized hiring procedure through which professors of economics are selected in France. Using detailed data from all concours held between 1984 and 2003, we focus on the role of the candidates' publication records (number and quality of articles) and networks (defined as professional links between candidates and the jury members who take the recruitment decisions). Both sets of variables have statistically significant effects on the likelihood of getting hired. The effect of network connections is important in the sense that a substantial improvement of the publication record is needed to compensate for not being linked to the jury. © 2007 Elsevier B.V. All rights reserved. JEL classification: M510
The Effect of Peak Signal to Noise Ratio (PSNR) Values on Object Detection Accuracy in Viola Jones Method

Image quality is an important parameter in object detection. Image with good quality will produce high accuracy in the object detection process. Image quality is measured using the peak signal comparison of the original image with the interference that occurs in the image. This comparison is formulated with the Peak Signal To Noise Ratio (PSNR). PSNR values obtained from variations in image quality improvements will be seen in its characteristics in object detection methods using the Viola Jones method. The higher PSNR value will definitely produce better accuracy, but improving the image to the best quality will drain resources and a high computational burden so it needs to find a minimum PSNR value that can still be considered good in the object detection process. The minimum PSNR value for the image is said to be feasible to be processed 19.05 dB. The minimum PSNR value before the object can no longer be detected is 12.43 dB.
Chapter 1 from : Microbiota Current Research and Emerging Trends

The microbial community inhabiting our intestine, known as ‘microbiota’, and the ensemble of their genomes (microbiome) regulate important functions of the host, being essential for health maintenance. The recent development of next-generation sequencing (NGS) methods has greatly facilitated the study of the microbiota and has contributed to evidence of the strong influence exerted by age and diet. However, the precise way in which the diet and its components modify the functionality of the intestinal microbiome is far from being completely known. Changes in the intestinal microbiota occur during ageing, frequently accompanied by physiological changes of the digestive tract, modification of dietary patterns and impairment of the immune system. Establishing nutritional strategies aiming to counterbalance the specific alterations taking place in the microbiota during ageing would contribute to improved health status in the elderly. This chapter will analyse changes appearing in the intestinal microbiota from adulthood to old age and their association with dietary patterns and lifestyle factors.
Assessment of Giardia and Cryptosporidium Assemblages/Species and Their Viability in Potable Tap Water in Beni-Suef, Egypt Using Nested PCR/RFLP and Staining

Background: The protozoan Giardia and Cryptosporidium are responsible for most water-borne diseases all over the world. The extent and number of outbreaks of waterborne diseases suggests a significant risk of their potential transmission via drinking water. This study aimed to document the prevalence and viability of Giardia and Cryptosporidium (oo) cysts in tap water samples in Beni-Suef Governorate, Egypt and to detect the predominant Giardia and Cryptosporidium assemblages/species using nested PCR/ Restriction Fragment Length Polymorphism (RFLP) confirmed by further sequencing of positive samples. Methods: A total of 80 tap water samples were collected throughout a year from four big centers and filtered using the membrane filtration method. Samples were stained by Lugol's iodine, Modified Zeihl-Neelsen (MZN) (to detect prevalence) and trypan blue stain (to detect viability). Nested PCR-RFLP and sequencing were used for molecular characterizations and genotyping of the detected Giardia and Cryptosporidium. Results: Giardia and Cryptosporidium DNA was detected in 20 (25%) and 29 (36.3%) samples respectively, with predominance of Giardia assemblage B (85%) and C. hominis (75.9%). The prevalence and viability of both parasites (oo) cysts showed seasonality which peaked in summer and were greater in Beba center and in rural areas. Conclusion: To our knowledge, no studies have been done in these areas before. The anthroponotic transmission has an important role in giardiasis and cryptosporidiosis epidemiology in this studied area.
Information Retrieval Through Various Approximate Matrix Decompositions

Information retrieval is extracting certain information from databases. In this paper we explore querying a document database using latent semantic indexing (LSI). We investigate and analyze the use of various matrix approximations to accomplish this task; specifically, we implement a nonnegative matrix factorization using the multiplicative update algorithm of Lee and Seung as found in [1] and the linear time Monte Carlo CUR decomposition of Drineas, Kannan, and Mahoney as found in [2]. We further implement variations on this CUR algorithm and use an implementation by G.W. Stewart of a deterministic CUR algorithm found in [3]. We test LSI performance on three common information retrieval data sets: MEDLINE, CISI and CRANFIELD. We find that we can achieve LSI results that are almost as good as those produced by the SVD using much cheaper CUR decompositions. This is very important when a term-document matrix is too large to store or for which an SVD is too expensive to compute. In addition, we make improvements to the CUR decomposition of Drineas, Kannan, and Mahoney that give better matrix approximations without becoming significantly more expensive.
WHAT MOTIVATES STUDENT TRAINEES TO BECOME A PHYSICAL EDUCATION TEACHER ?

Grounded in Self-Determination Theory (SDT; Deci & Ryan, 2002), the purpose of this study was to examine the role of perceived autonomy support, structure, and involvement experienced by trainee teachers from parents/guardians, professors, and high school teachers on the motivation to become a physical education teacher (PET). Using a non-experimental design, student trainees at a mid-sized Canadian university (N = 137) completed a self-report instrument on a single occasion. Multiple regression analysis indicated that perceived involvement from parents/guardians and perceived structure from high school teachers were key predictors of motivation to become a PET. No link was evident between any type of perceived support experienced by student trainees from university professors and motivation to become a PET. Overall, the results of this study support Deci and Ryan’s (2002) contentions within the framework of SDT by verifying that perceptions of structure and involvement can be key mechanisms fueling optimal motivation for career planning with reference to becoming a PET.
The Representation of Idioms in WordNet

WordNet’s very extensive coverage does not systematically include idiomatic expression, multi-word units that are semantically compositional to varying degrees. This gap must be filled if WordNet is to be successfully used in applications requiring Word Sense Disambiguation and language pedagogy. Our focus here is on Verb Phrase and sentential idioms. We propose a classification of idioms based on their semantic compositionality and suggest a specific mechanism for integrating
Forecasting the Brazilian Yield Curve Using Forward-Looking Variables

This paper proposes a simple model using a factor-augmented VAR methodology with Nelson-Siegel factors to forecast the Brazilian term structure of interest rates. We extract the principal components for the FAVAR from weekly macroeconomic and financial indicators, many of which are forward-looking. Our model entails a significant improvement on the short-term forecasting relative to the extant models in the literature. For longer horizons, our methodology also fares well, yielding small forecast errors. For instance, the mean absolute forecast errors are 30-40% lower than the random walk benchmark after two months horizon. The out-of-sample analysis shows that including forward-looking indicators is the key to improve the predictive ability of the model. JEL classification: E58, C38, E47
Calibration methodology for hydraulic transient solvers incorporating unsteady friction and pipe wall viscoelasticity

The current paper aims at the description and application of a methodology for calibration of different types of hydraulic transient models – from the classic transient solver to solvers incorporating unsteady friction models and pipe wall viscoelasticity. The proposed calibration methodology is a two-stage approach: the first stage refers to the calibration of steady state conditions and the second stage to transient state parameters. A hydraulic transient solver based on the Method of Characteristics (MOC) was developed for testing the methodology. A data collection program was carried out in an experimental facility at Instituto Superior Técnico, Lisbon (Portugal) collecting transient pressure data. Reasons for suggesting a step-wise calibration of hydraulic transient solvers, instead of the blind simultaneous calibration of all known parameters, have been discussed. Main conclusions and suggestions for future studies are discussed.
Body size and seasonal condition of Caspian Whip Snakes , Dolichophis caspius ( Gmelin , 1789 ) , in southwestern hungary ( Squamata : Serpentes : Colubridae )

identifying links between phenotypic attributes and fitness is a primary goal of reproductive ecology. Since seasonal patterns of body condition in Caspian Whip Snakes, Dolichophis caspius (Gmelin, 1789), have not been studied before, the authors analyzed body size measurements of those collected during a six year period on Szársomlyó hill in southern Transdanubia, southwestern part of hungary. To quantify the body condition, the “scaled mass index” was used. This measure, which correlates normalized values of body mass and snout-ventlength, is a good indicator of fatbody reserves. The largest difference between sexes occurred during the mating period when the female body condition expressed as “scaled mass index” was substantially higher (BCi = 384.4 ± 25.72 Se) than that of males (BCi = 324.0 ± 19.26 Se). This difference largely declined until the onset of hibernation, when the body condition index of females (BCi = 397.4 ± 16.96 Se) was similar to that of males (BCi = 403.4 ± 46.31 Se). These findings contribute to better understand the ecology of the Caspian Whip Snake near the northwestern limit of its range.
Introducing Voice Analysis Software into the Classr oom : how Praat Can Help French Students Improve their Acquisition of English Prosody

In previous experiments, we have shown how the use of a computer-assisted phonetic transcription marker, associated with a filing system, in the classroom, can help French students of English as a Second Language improve not only their phonetic transcription skills, but also their phonological competence by linking theory to practice. Further development of this tool indicated how adding an auditory to a visual modality significantly increased the stability of acquisition. Our aim was to study how French students deal with individual phonemes at word-level or with word stress in English, as well as improving their skills in English rhythm and intonation, the latter being a major hindrance in communication with English speakers for L2 learners. We have therefore integrated the use of a voice analysis program into the teaching/learning practice of prosody. The present study aims to target the type of errors made by students in understanding of English prosody, and help them overcome these obstacles through explicit learning. The software enables the student to synchronize listening to a sound file and visualizing the oscillogram of that selected sound. It also enables the sound to be annotated by creating parallel text-grids below the spectrogram and pitch windows. The sentences chosen for the experiment were excerpts from News programs offering no particular lexical difficulties. Students were asked to represent four levels of segmentation by creating four different tiers; the task included segmentation of the continuous flow of speech into Intonational Phrases (IPs), and the identification of the structure of these IPs, including the indication of the place and type of tone used by the speaker as nucleus or tonic syllable. They were also asked to give a representation of the rhythmic units of the speech, which addressed the issue of how to bridge the gap between a syllabletimed language (French) and a stressed-timed language (English). The basic idea behind the form of the experiment was to enable learners to use errors to develop their cognitive approach to the learning of English prosody.
Hyperfine fields in UFe 5 Sn compound

New intermetallic compound UFe5Sn, discovered by A. P. Gonçalves et al. [3], crystallizes in orthorhombic CeCu5Au-type structure (space group Pnma). The unit cell contains 4 U atoms located in 4c site, 4 Sn atoms in 4c, 12 Fe atoms in 4c (Fe2, Fe3, Fe4) and 8 Fe atoms in 8d (Fe1) site [3]. The magnetization measurements carried out on a powder sample show a weak ferromagnetic behavior at room temperature and two magnetic anomalies at 248 K and 180 K [3]. The latter transition is magnetic field dependent and disappears at B > 1 T. Below 248 K magnetization strongly increases with decreasing temperature. More precise experiments on a single crystal [4] show that the transition at 248 K is associated with ferromagnetic ordering of iron magnetic moments along c-axis, while anomalies observed at 180 K with reorientation Fe moments towards to b-axis. This conclusion is deduced partially from Mössbauer measurements. However, the description of the spectra presented in [4] in our opinion does not fit the experimental data so well. We think that the main reason of not good agreement between the experimental and theoretical Mössbauer spectra is the use of the first order perturbation in the presence of mixed hyperfine interactions. Since the electric quadrupole interactions are not small with respect to the magnetic dipolar ones, a full Hamiltonian should be used for correct description of the Mössbauer spectra. The aim of our study is Hyperfine fields in UFe5Sn compound Dariusz Satuła, Krzysztof Szymański, Vinh H. Tran, Ludwik Dobrzyński
Title : Negative autobiographical memories in social anxiety disorder : A comparison with panic disorder and healthy controls

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Comparison of PCR , BIO-PCR , DIA , ELISA and isolation on semiselective medium for detection of Xanthomonas albilineans , the causal agent of leaf scald of sugarcane

Polymerase chain reaction (PCR) and newly designed primers, XAF1/XAR1, were tested for selective detection of the causal agent of leaf scald of sugarcane, Xanthomonas albilineans. The efficiency and reliability of PCR were compared with dot immunobinding assay (DIA), ELISA and classical isolation techniques for detecting X. albilineans in suspensions of pure cells and extracts of field-collected stalk and leaf samples of sugarcane. In addition, classical PCR and BIO-PCR (biological amplification followed by PCR) were compared with isolation on a semiselective agar medium. Classical PCR and BIO-PCR techniques had the advantage of not requiring pathogenicity tests to confirm the identity of colonies tentatively identified as X. albilineans on modified semiselective XAM agar medium. The m-XAM medium and BIO-PCR techniques were the most sensitive; however, the former required seven days whereas the latter required only four days. The BIO-PCR technique was as sensitive as the semiselective medium technique and eliminated the need to conduct any additional tests to confirm the identification.
The Association between Stress and Intensity of Low Back Pain among Thai Nursing Students

Nursing students are subjected to many kinds of stress during their studying and stress leads to increase intensity of low back pain (LBP). The aims of this study were to determine the level of stress and intensity of LBP, to examine the association between stress and intensity of LBP, and to determine which kinds of stress was able to predict the intensity of LBP among 223 nursing students in Thailand. A self-reported questionnaire which was confirmed for quality and that was composed of individual data, stress, and intensity of LBP during the previous seven days, was used for collecting the data. Data were analyzed using descriptive statistics and Pearson’s product correlation and stepwise multiple regression analysis. The results revealed that nursing students experienced stress at a moderate level (Mean = 2.91, S.D. = 0.54) and had intensity of LBP at a mildly moderate level (Mean = 3.47, S.D. = 1.66). The participants’ self-perceived health status and relationship with teachers was able to predict the intensity of LBP among the nursing students at a percentage of 8.4 (p<.05). Institute administrators can use the findings of this study to promote health and to place emphasis on providing suitable social support and learning activities for nursing students.