Miracle-dz/UniFAR-FTUs huggingface dataset:
Testing psychometric properties of the Thai Social Dysfunction Rating Scale (TSDRS) in schizophrenic and methamphetamine abuse patients

Background: Measuring patient outcomes and early detection is important to prevent severe social dysfunction in schizophrenic and methamphetamine abuse patients. Psychometric properties testing of the Thai Social Dysfunction Rating Scale (TSDRS) has not yet been applied. Method: Factor analysis was carried out on data collected from 313 schizophrenic and methamphetamine abuse patients who met the inclusion criteria, and who were recruited using multi-stage sampling from eight setting of psychiatric and substance disorder service care in Thailand during April to May, 2015. The method of extraction was principal components analysis. Parallel Analysis with Monte Carlo Simulations (PAMC) was used to determine the factor’s number to retain in a factor analysis. Results: A 14-item TSDRS was applied to 313 participants. Communalities in each factor ranged from . 54 to . 79 that were retained. The Kaiser-Meyer-Olkin measure of sampling adequacy = . 93 and Bartlett’s test was X 2 = 2867, df = 91, p<0.001. Cronbach’s alpha and test retest reliability was . 93, . 96 respectively. Confirmatory factor analysis indicated that all items have fit with the empirical data ( X 2 = 26.544; df = 32; X 2 /df = .83; CFI = 1.00; NFI = 0.99; GFI = .96; PGFI =.40; IFI = 1.02; RMR = .15; and RMSEA = .00). Factor structures showed that items were accepted. Factor loading ranged from . 57 to . 86 were practically significant. Two factors, explaining 66.2% of the total variance, were identified. Factors 1 explained 56.3% and factor 2 explained 9.9% of the variance. Conclusion: The TSDRS demonstrated acceptable psychometric properties and practical measurements for health care providers to assess social dysfunction in schizophrenic and methamphetamine abuse patients.
Possible Role of Anti-Inflammatory cytokine Gene Polymorphism in AML Susceptibility, Egypt

Background: Acute myeloid leukemia (AML) is a cytogenetically and molecularly heterogeneous diseases and characterization of transforming genetic events is becoming increasingly important. Interleukins (ILs) are a diverse set of small cell signaling protein molecules. Single nucleotide polymorphisms (SNPs) of ILs alter their function, increasing susceptibility to different diseases. Methods: We investigated the association between polymorphism in interleukin-10 (IL-10) -819T/C (rs 1800871) and the risk of AML in the Egyptian population. DNA was isolated from bone marrow of 80 newly diagnosed adult AML patients, and 85 age and sex matched controls. Genetic analysis of IL-10 SNPs at -819T/C was assayed by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). Results: Genetic analysis of IL-10 revealed that the Egyptians have high -819 T allele frequencies in apparently healthy controls while -819CC genotype and the -819C allele frequencies in the AML group were higher than in the controls (P=0.000086). The study suggested that subjects carrying the rs 1800871 CC genotype and C allele had a significantly increased risk for AML. Conclusion: IL-10 SNP at -819 was associated with enhanced AML risk, suggesting that rs1800871 provides clue for future studies and early detection of AML. [Reham Rashed, Roxan Ezzat, Nevine Fawzy and Hanan Ezzat. Possible Role of Anti-Inflammatory cytokine Gene Polymorphism in AML Susceptibility, Egypt. Cancer Biology 2016;6(3):27-33]. ISSN: 2150-1041 (print); ISSN: 2150-105X (online). http://www.cancerbio. net. 4. doi:10.7537/marscbj060316.04.
Interactive Graphics for Presentation and Exploration of Student Performance Profiles in IGLU/TIMSS 2011 Educational Surveys

This paper advocates the application of interactive graphics as a qualitative research method for comparative large-scale assessments, known to supplement and extend analytical techniques. Graphics can be easily generated for effective display of information. Interaction is essential for exploring data in a flexible and controlled manner. The national results of the common sample of the large-scale educational assessment studies Internationale Grundschul-Lese-Untersuchung (IGLU)/ Trends in International Mathematics and Science Study (TIMSS) 2011 demonstrated the effectiveness of interactive graphics. The performance profiles of elementary school students in terms of the competency domains of reading, mathematics, and science are analyzed. Furthermore, spineplots are used to investigate the background characteristics of students of different performance types in order to identify possible educational disadvantage. The study aims to simplify data exploration before reporting, and to more effectively present the findings obtained from comparison studies on school achievement.
Multi-Shot Single Sensor Light Field Camera Using a Color Coded Mask

We present a compressed sensing framework for reconstructing the full light field of a scene captured using a single-sensor consumer camera. To achieve this, we use a color coded mask in front of the camera sensor. To further enhance the reconstruction quality, we propose to utilize multiple shots by moving the mask or the sensor randomly. The compressed sensing framework relies on a training based dictionary over a light field data set. Numerical simulations show significant improvements in reconstruction quality over a similar coded aperture system for light field capture.
A global definition of quasinormal modes for Kerr-AdS Black Holes

The quasinormal frequencies of massive scalar fields on Kerr-AdS black holes are identified with poles of a certain meromorphic family of operators, once boundary conditions are specified at the conformal boundary. Consequently, the quasinormal frequencies form a discrete subset of the complex plane and the corresponding poles are of finite rank. This result holds for a broad class of elliptic boundary conditions, with no restrictions on the rotation speed of the black hole.
N-body simulation insights into the X-shaped bulge of the Milky Way: Kinematics and distance to the Galactic Centre

Using simulations of box/peanut- (B/P-) shaped bulges, we explore the nature of the X-shape of the Milky Way's bulge. An X-shape can be associated with a B/P-shaped bulge driven by a bar. By comparing in detail the simulations and the observations we show that the principal kinematic imprint of the X-shape is a minimum in the difference between the near and far side mean line-of-sight velocity along the minor axis. This minimum occurs at around |b| = 4°, which is close to the lower limit at which the X-shape can be detected. No coherent signature of an X-shape can be found in Galactocentric azimuthal velocities, vertical velocities or any of the dispersions. After scaling our simulations, we find that a best fit to the Bulge Radial Velocity Assay data leads to a bar angle of 15°. We also explore a purely geometric method for determining the distance to the Galactic Centre by tracing the arms of the X-shape. We find that we are able to determine this ill-known distance to an accuracy of about 5 per cent with sufficiently accurate distance measurements for the red clump stars in the arms
Effort Application in an Arranged Marriage: A Game-Theoretic Analysis

In this note we study a simple game model of effort application by two individuals (1 and 2) who wish to have an arranged marriage. We first specify the net utility function of individual i as a function of this individual’s own effort and the effort applied by individual j,i≠j, in three distinct cases. Next, we compute the ith individual’s best response function. Finally, we analyze effort application by two identical pairs of individuals who are located in two different nations. In the first (second) nation, arranged marriages are uncommon (common) and hence it is relatively difficult (straightforward) for the two individuals to apply and coordinate effort. We explain why the net utility of the pair wishing to have an arranged marriage in the first nation is likely to be much lower than the corresponding net utility of the pair in the second nation.
Low-Light Scene Color Imaging based on Luminance Estimation from Near-Infrared Flash Image

In a low-light scene, we need a high-gain setting or a long-exposure setting to avoid a visible flash when we take pictures. However, these settings lead to severe degradations such as high-level noise and/or motion blur. Another approach for low-light scene capture is to use an invisible flash. In this paper, we propose a novel approach for color imaging using a noisy-color image and an invisible flash image. The basic idea of the proposed method is that the luminance component and the chroma component of a color image are estimated from different image sources. The luminance component is estimated mainly from the invisible flash image via a spectral estimation. The chroma component is estimated from the noisy-color image by denoising. Experimental comparisons demonstrate that the proposed method outperforms both a state-of-the-art single image denoising method and an existing method using a noisy-color image and an invisible flash image.
Laboratory Studies of Wave Attenuation through Artificial and Real Vegetation

Abstract : A physical model study investigating the dissipation of wave energy by artificial and real Spartina alterniflora was performed in a large-scale two-dimensional flume. The purpose of the parametric study was to isolate the influence of a single plant or wave property on wave dissipation through vegetation by varying the parameter of interest while holding other parameters constant. The varied parameters included vegetation submergence depth, incident zero-moment wave height, incident peak wave period, and stem density. Measurements of the free surface and instantaneous velocity were collected for single- and double-peaked irregular wave spectra. The experiment setup and data collection methodology are described in detail. Results from the artificial and real vegetation tests indicate vegetation submergence depth and stem density strongly influence wave attenuation, while the effects of incident wave height and peak period were small and unclear in comparison. An increase in stem density of the artificial vegetation resulted in a greater reduction in wave height for all modeled wave conditions. As water depth exceeded canopy height, the wave attenuation capacity of both the artificial and real vegetation decreased. Dissipation occurred at all frequencies of the spectra, with the most evident loss of energy at the peak frequencies; however, separating the double-peaked spectra into two wave spectra revealed a preferential dissipation of higher frequency wave energy compared to lower frequency wave energy through the artificial array. The real vegetation was found to dissipate wave energy more efficiently than the artificial vegetation, which is likely due to the additional drag induced by the leaves.
Retention of 99mTc at Ultra-trace Levels in Flowing Column Experiments – Insights into Bioreduction and Biomineralization for Remediation at Nuclear Facilities

ABSTRACT The behavior of technetium at ultra-trace (<10−10 mol l−1) concentrations in bioreducing sediment column experiments was investigated using 99mTc γ-camera imaging. Four flowing sediment columns were biostimulated for varying periods of time, using acetate as an electron donor, such that on the day of imaging they represented oxic, early metal-reducing, Fe(III)-reducing and sulfate-reducing conditions. Prior to imaging, columns were spiked with 9.6 MBq of 99mTc(VII)O4−, which is relevant to the 99Tc mass concentrations observed at nuclear facilities, run under site relevant flow conditions, and imaged using γ-camera imaging at 20 min intervals over 12h. In the oxic column 99mTc behaved as a conservative tracer and did not interact significantly with the sediment. In all of the biostimulated columns 99mTc associated with the sediment although the spike was least mobile in the order sulfate < Fe(III)-reducing < early metal-reducing columns, confirming higher reactivity for 99mTc under increasingly reducing conditions. Columns were destructively sampled after 99mTc decay (5 days storage), and 0.5 N HCl extractable Fe as Fe(II) was measured at 2 cm intervals along the column length. The Fe(II) measured in all electron donor amended columns was present in stoichiometric excess to the 99mTc. Geochemical modelling and aqueous geochemical data from the different biostimulation treatments suggested that the elevated pH observed in the more reduced columns lead to increased sorbed and mineral associated Fe(II), both stronger reductants for Tc(VII) than aqueous Fe(II). In the sulfate reduction column the presence of FeS lead to the fastest rates of 99mTc immobilization. The results are the first to show the variable but significant retention of 99mTc at ultra-trace levels relevant to conditions at many nuclear sites in a range of biostimulated sediment columns and present a positive outlook for the treatment of 99Tc contaminated groundwater through in-situ biostimulation.
DARIAH-DKPro-Wrapper Output Format (DOF) Specification

The DARIAH-DKPro-Wrapper Output Format (DOF) is a tab-separated file format, designed to be easily accessible by various analysis tools and scripting languages. It is based on a modular linguistic processing pipeline, which includes a range of analysis capabilities and has been fitted to book-length documents. Both processing pipeline and output format have been developed in cooperation by the Department of Literary Computing, Würzburg (“Lehrstuhl Für Computerphilologie Und Neuere Deutsche Literaturgeschichte. Universität Würzburg” 2016) and the Ubiquitous Knowledge Processing Lab, Darmstadt (“Ubiquitous Knowledge Processing Lab. Technische Universität Darmstadt” 2016) as part of DARIAH-DE, Digital Research Infrastructure for the Arts and Humanities (“DARIAH-DE” 2016).
Ad in DOM App ’ s WebView Ad First-party services

Online advertisers and analytics services (or trackers), are constantly tracking users activities as they access web services either through browsers or a mobile apps. Numerous tools such as browser plugins and specialized mobile apps have been proposed to limit intrusive advertisements and prevent tracking on desktop computing and mobile phones. For desktop computing, browser plugins are heavily studied for their usability and efficiency issues, however, tools that block ads and prevent trackers in mobile platforms, have received the least or no attention. In this paper, we present a first look at 97 Android adblocking apps (or adblockers), extracted from more than 1.5 million apps from Google Play, that promise to block advertisements and analytics services. With our data collection and analysis pipeline of the Android adblockers, we reveal the presences of thirdparty tracking libraries and sensitive permissions for critical resources on user mobile devices as well as have malware in the source codes. We analyze users’ reviews for the in-effectiveness of adblockers in terms of not blocking ads and trackers. We found that a significant fraction of adblockers are not fulfilling their advertised functionality.
Ceratocystis fi mbriata on kiwifruit ( Actinidia spp . ) in Brazil

Ceratocystis fimbriata causes wilt and death of plants in several important crops and native vegetation in Brazil. Ceratocystis wilt was recently found to be causing substantial mortality in kiwifruit (Actinidia deliciosa and A. chinensis) in the Farroupilha region of Rio Grande do Sul. The aim of this study was to describe the symptomatology of the new disease and characterise isolates of C. fimbriata obtained from kiwifruit plants. Affected plants showed substantial discoloration of the woody xylem and wilt-type symptoms of the foliage, with eventual death of the whole plant. Phylogenetic analysis of ITS rDNA of 39 isolates from kiwifruit identified five haplotypes, which were placed in the Latin American clade of C. fimbriata. The ITS haplotypes were morphologically similar to isolates of C. fimbriata from other hosts in Brazil. Eight isolates of four ITS haplotypes varied somewhat in aggressiveness to three kiwifruit cultivars (Monty, Hayward and Elmwood), but all isolates were pathogenic and all three cultivars were susceptible. ARTICLE HISTORY Received 1 April 2015 Accepted 8 September 2015
Detection and Classification of Acoustic Scenes and Events 2018 Challenge ACOUSTIC SCENE CLASSIFICATION BY ENSEMBLE OF SPECTROGRAMS BASED ON ADAPTIVE TEMPORAL DIVISIONS Technical Report

Many classification tasks using deep learning have improved classification accuracy by using a large amount of training data. However, it is difficult to collect audio data and build a large database. Since training data is restricted in DCASE 2018 Task 1a, unknown acoustic scene must be predicted from less training data. From the results of DCASE 2017[1], we determine that using a convolution neural network and ensemble multiple networks is an effective means for classifying acoustic scenes. In our method we generate mel-spectrogram from binaural audio, mono audio, Harmonicpercussive source separation (HPSS) audio, adaptively divide the spectrogram into multiple ways and learn 9 neural networks. We further improve ensemble accuracy by ensemble learning using these outputs. The classification result of the proposed system was 0.769 for Development dataset and 0.796 for Leaderboard dataset.
Efficiency of Polychaete Nereis (Neanthes) Succinea as Biomonitor for Heavy Metals Pollution in the Red Sea, Egypt

Polychaetes nereids groups are the most common in shallow marine habitats and abundant in benthic communities. This group was proved to tolerate a high burden of heavy metals within their tissues. The current work assesses the effect of water criteria; sea water temperature, hydrogen ion concentration (pH), dissolved oxygen concentration, turbidity, conductivity and salinity on the uptake and storage of four heavy metals; Mn,, Pb, Cd and Cu in tissues of the marine polychaete worm Nereis succinea collected from two sites at Hurghada, Red sea; the Marine Biological Station (MBS) and the Fishing Port at Sakala (FPS). Bioaccumulation Factors (BAFs) were determined to evaluate the capability of the investigated annelid worm to accumulate heavy metals, so as to be used as sentinel species for monitoring metal pollutants. Population density of the investigated polychaete was determined at both studied sites as related to water criteria. ANOVA statistical analysis has indicated significant higher concentration of Mn, Pb, Cd and Cu in water at FBS than MBS (P Nereis tissues were recorded for Cu (1023.09±816.55), while the lowest BAF was for Pb (162.97±118.03). Polychaete abundance was significantly higher at MBS. Significant effect was found for water criteria on metal bioaccumulation and population density of Nereis . Data were discussed to evaluate the sensitivity of N. succinea to heavy metal pollutants and its possible use as biological monitor for metal contaminants at marine habitats.
High-Fidelity Computational Aerodynamics of Multi-Rotor Unmanned Aerial Vehicles

High-ﬁdelity Computational Fluid Dynamics (CFD) simulations have been carried out for several multi-rotor Unmanned Aerial Vehicles (UAVs). Three vehicles have been studied: the classic quadcopter DJI Phantom 3, an unconventional quadcopter specialized for forward ﬂight, the SUI Endurance, and an innovative concept for Urban Air Mobility (UAM), the Elytron 4S UAV. The three-dimensional unsteady Navier-Stokes equations are solved on overset grids using high-order accurate schemes, dual-time stepping, and a hybrid turbulence model. The DJI Phantom 3 is simulated with diﬀerent rotors and with both a simpliﬁed airframe and the real airframe including landing gear and a camera. The eﬀects of weather are studied for the DJI Phantom 3 quadcopter in hover. The SUI Endurance original design is compared in forward ﬂight to a new conﬁguration conceived by the authors, the hybrid conﬁguration , which gives a large improvement in forward thrust. The Elytron 4S UAV is simulated in helicopter mode and in airplane mode. Understanding the complex ﬂows in multi-rotor vehicles will help design quieter, safer, and more eﬃcient future drones and UAM vehicles.
A model for large amplitude oscillations of coated bubbles accounting for buckling and rupture

We present a model applicable to ultrasound contrast agent bubbles that takes into account the physical properties of a lipid monolayer coating on a gas microbubble. Three parameters describe the properties of the shell: a buckling radius, the compressibility of the shell, and a break-up shell tension. The model presents an original non-linear behavior at large amplitude oscillations, termed compression-only, induced by the buckling of the lipid monolayer. This prediction is validated by experimental recordings with the high-speed camera Brandaris 128, operated at several millions of frames per second. The effect of aging, or the resultant of repeated acoustic pressure pulses on bubbles, is predicted by the model. It corrects a flaw in the shell elasticity term previously used in the dynamical equation for coated bubbles. The break-up is modeled by a critical shell tension above which gas is directly exposed to water.
Three-dimensional magnetic reconnection through a moving magnetic null

A computational study of three-dimensional magnetic reconnection between two flux ropes through a moving reconnection site is presented. The configuration is considered in the context of two interacting spheromaks constrained by a perfectly conducting cylindrical boundary and oriented to form a single magnetic field null at its center. The initial magnetic field configuration is embedded into a uniform thermal plasma and is unstable to tilting. As the spheromaks tilt, their magnetic fields begin to reconnect at the null, subsequently displacing both the null and the reconnection site. The motion of the reconnection region and the magnetic null are shown to be correlated, with stronger correlation and faster reconnection observed in plasmas with lower thermal to magnetic pressure ratio. It is also shown that ion inertial effects allow for yet faster reconnection, but do not qualitatively change the dynamics of the process. Implications of the coupling between moving magnetic nulls and reconnection sites, as well as of possible mechanisms for fast reconnection through a moving reconnection region, are discussed. The simulations are conducted using both single-fluid and Hall MHD plasma models within the HiFi multi-fluid modeling framework.
DNN based multi-level feature ensemble for acoustic scene classification

Various characteristics can be used to define an acoustic scene, such as long-term context information and short-term events. This makes it difficult to select input features and pre-processing methods suitable for acoustic scene classification. In this paper, we propose an ensemble model that exploits various input features in which the strength for classifying an acoustic scene varies: i-vectors are used for segment-level representations of long-term context, spectrograms are used for frame-level short-term events, and raw waveforms are used to extract features that could be missed by existing methods. For each feature, we used deep neural network based models to extract a representation from an input segment. A separated scoring phase was then exploited to extract class-wise scores on a scale of 0 to 1 that could be used as confidence measures. Scores were extracted using Gaussian models and support vector machines. We tested the validity of the proposed framework using task 1 of detection, and classification of acoustic scenes and events 2018 dataset. The proposed framework had an accuracy of 73.82% for the pre-defined fold-1 validation setup and 74.8% for the evaluation setup which is 7th in team ranking.