Miracle-dz/UniFAR-FTUs huggingface dataset:
Measuring bar strength using Fourier analysis of galaxy images

We present two methods for bar strength measurement on disc galaxies based on a two-dimensional Fourier analysis of their images. Our methods are able to recover the whole spiral structure of disc galaxies and are very robust when comparing the results from images obtained with different filters. In particular, these methods are capable of detecting small bars regardless of the filter used to obtain the galaxy image. Our relative measurements of bar strength show a good agreement with different bar indicators used in the literature. We use our methods to determine the general morphologies indicated in the Third Reference Catalog of Bright Galaxies (RC3 catalogue) classified as non-barred (SA), mildly barred (SAB), or barred (SB) galaxies. Our numerical indicators are in good agreement with the three galaxy populations estimated visually.
Ovarian development related to activity levels of nurse workers in Melipona bicolor: evolutionary significance.

bees, althoughqueen and larvae highly inhibit ovarian development of the workers, some may escape controland lay (Bourke, 1988; Ratnieks & Visscher, 1989). In stingless bees, brood production ischaracterized by a complex, ritualized progression of behaviors denominated the provisioningand oviposition process, POP. Among the nurses participating in POP, ovarian developmentis very common (Sakagami
Face super-resolution via robust online dictionary learning

In order to solve the problems of face image super-resolution, a robust online dictionary learning method based on sparse representation is proposed in this paper. The online dictionary learning algorithms which can be used to train big sample datasets is introduced in the dictionary learning phase to generate better overcomplete dictionaries. Additionally, the classic L2-regularization is replaced by the robust L1-regularization in the spare coding procedure. The simulation comparisons and verifications in the experiments prove that the PSNR and SSIM of the proposed method are much higher than some state-of-the-art super-resolution algorithms. The PSNR is 0.72dB higher than [12] Mairal's online dictionary learning application in super-resolution, while the SSIM is 0.0187 higher. The performance of the proposed algorithm is promising with few artifacts along the edges. Meanwhile, the denoising effect is much better than some classic algorithms while processing noisy face images.
Why Some Emotional States Are Easier to be Recognized Than Others: A thorough data analysis and a very accurate rough set classifier

Affective human-computer interaction requires a system to identify a user's emotional state. Such systems mostly use facial expressions or speech signals to recognize emotion. Another approach is to use physiological data that is known to be correlated with psychological evidence. Using a few signals, signal processing allows one to derive a variety of features from which one needs to learn a classifier. A standard approach is to learn a classifier from a set of feature data together with labels that indicate a target class. This article shows that even simple a model of target labels may create a hard learning problem and why predictive accuracy of many different learning algorithms cannot be improved beyond a certain point. Subsequently, we present the rather underestimated approach of rough set data analysis to explain this result. Simultaneously, we are able to derive a classifier that reaches a top predictive accuracy with literally no additional assumptions on the data and only very weak biases.
Scalability of the Beck Depression Items on Subjects with Eating Disorders

This paper investigates the item scalability of the Beck Depression Inventory (BDI) in 252 subjects; 126 with and 126 without eating disorders. To do so, an order was established regarding the BDI items according to the clinical characteristics of the subjects with eating disorders. The nonparametric Item Response Theory (NIRT) model was applied to evaluate Monotone Homogeneity and Double Monotonicity of items, as well as the reliability of the scale in both groups. The results show that the order of the items is satisfied in the group with eating disorders, but not in the control group. Therefore, the results obtained allow the ordering of depression scores of subjects with eating disorders according to their clinical characteristics. This order is not valid for the depression scores of subjects who did not have eating disorders. It should be noted that the application of the Double Monotonicity model to polytomous items provides new and relevant information when compared to the data provided by the Classical Test Model. In addition, it is very useful for other items and subjects having certain characteristics.
Extension of the Postharvest Life of Nectarine Using Modified Atmosphere Packaging and Potassium Permanganate Treatment

The effects of combinations of modified atmosphere packaging (MAP) with potassium permanganate (KMnO4) based ethylene scrubbers on the storage life and fruit quality of nectarine (Prunus persica cv. Bayramiç Beyazı) were investigated. Three different types of ethylene sachets (contained 3, 7 and 10 g KMnO4) were used and placed beside fruits in polypropylene baskets then lined with MAP. Fruits were stored at 0-1°C and 90% relative humidity throughout 40 day. During the cooling storage period, O2 and CO2 percentage in MAP, fruit firmness, total soluble solids, titratable acidity, ascorbic acid, total ﬂavonoid content, total phenolic content, total antioxidant content and chilling injury (CI) were determined at 10 day interval. KMnO4 treated fruits had shown delayed ripening, reduced respiration and retained of higher firmness. As the dose of KMnO4 treatment increased, it was determined more positive effect on fruit quality. 10 g KMnO4 treatment was most effective in the retention of higher biochemical compounds and inhibition of CI symptoms. The results indicate that KMnO4 treatment, as well as MAP application, should be highly recommended for retaining the fruit quality of cold-stored ‘Bayramiç Beyazı’ nectarines and fruits treated with 10 g doses of KMnO4 could be stored for 40 days with good quality.
Impact of phytoecdysteroid treatment on the larval performance of multivoltine mulberry silkworm Bombyx mori Linn.

Phytoecdysteroid are being used commercially to shorten the larval duration for synchronize spinning of cocoons and labour saving. In this experiment Achyranthes aspera plant extract containing phytoecdysteroid activity was taken. The experiments were conducted with the phytoecdysteroid concentration of 40, 50, 60 and 70 % and number of treatment viz; single, double,triple. Variation in the number of treatment (P1>0.05) of B. mori larvae significantly influenced the larval duration, larval length, larval weight and survival of larvae. The larval duration decreased from 22.90 days (control) to the minimum of 21.52 days in case of 60%, double treatment of larvae. The larval length increases with the increasing phytoecdysteroid concentration and number of treatment up to 60%, double treatment of larvae. The maximum larval length was recorded to be 6.98 cm in case of 60%, double treatment of larvae while it was minimum (4.90 cm) in 70%, triple treatment of larvae. The weight of larvae increased with the increasing phytoecdysteroid treatment from single to double treatment in 40, 50 and 60% phytoecdysteroid concentration and it was maximum (0.14.36 gm) in 60%, double treatment of larvae. The maximum survival of larvae was noticed to be 95.25±1.55 per cent in case of double treatment of larvae by 60% phytoecdysteroid concentration.
Phylogeny of water birds inferred from mitochondrial DNA sequences of nine protein coding genes

Phylogeny of water birds inferred from mitochondrial DNA sequences of 1 nine protein coding genes 2 3 Tsendsesmee Lkhagvajav Treutlein, Javier Gonzalez, Michael Wink 4 5 Institute of Pharmacy and Molecular Biotechnology (IPMB), Heidelberg University, Im 6 Neuenheimer Feld 364, Germany 7 8 M. Wink ( ) 9 Institute of Pharmacy and Molecular Biotechnology (IPMB) 10 Heidelberg University 11 Im Neuenheimer Feld 364 12 69120 Heidelberg, Germany 13 phone: +496221-544881 14 e-mail: wink@uni-hd.de 15 16
The Integration of Laser Scanning and 3 D Models in the Legal 1 Process following an Industrial Accident

3 Background: In order to obtain a deeper understanding of an incident, it needs 4 to be investigated to "peel back the layers" and examine both the immediate 5 and underlying failures that contributed to the event itself. One of the key 6 elements of effective accident investigation is recording the scene for future 7 reference. In recent years, however, there have been major advances in survey 8 technology, which have provided the ability to capture scenes in 3D to an 9 unprecedented level of detail, using laser scanners. 10 Methods: A case study involving a fatal incident was surveyed using 3D laser 11 scanning and then subsequently recreated through virtual and physical 12 models. The created models were then utilised in both the accident 13 investigation and legal process top explore the technologies use in this 14 setting. 15 Results: Benefits include; explanation of the event and environment, incident 16 reconstruction, preservation of evidence, reducing the need for site visits, 17 testing of theories. Drawbacks include; limited technology within court rooms, 18 confusion caused by models, cost, personal interpretation and acceptance in 19 the data. 20 Discussion: The use of laser scanning surveys can be of considerable use in 21 jury trials, for example, if the location supports the use of a high definition 22 survey or if an object has be altered after the accident and has a specific 23 influence on the case and needs to be recorded. However, consideration has 24 to be made in its application and to ensure a fair trial, emphasis being placed 25 on the facts of the case and personal interpretation controlled. 26
olecular cloning and expression analysis of interferon regulatory actor 8 ( IRF 8 ) in turbot , Scophthalmus maximus

Interferon regulatory factor 8 (IRF8) in mammals is known to be involved in antiviral response. In this study, the gene of IRF8 was cloned from the turbot (Scophthalmus maximus) fish and its expression in response to polyinosinic:polycytidylic acid (poly I:C) and turbot reddish body irrdovirus (TRBIV) challenges was studied. Turbot (Sm)IRF8 gene is 4363 bp long, comprises nine exons and eight introns and encodes a putative 420 amino acid (aa) protein. The predicted protein sequence possesses a DNA binding domain (DBD), an IRF association domain (IAD) and a nuclear localization signal (NLS). Constitutive expression of SmIRF8 was detectable in all tested organs, with higher levels observed in the spleen, ntiviral response kidney and head kidney. SmIRF8 transcript levels were up-regulated by both poly I:C and TRBIV treatments in the spleen, head kidney, gills and muscle in an early phase of a 7-day time course and the poly I:C was a quicker inducer. In both challenge cases, the highest and earliest inductions were detected in the spleen, while the induction in the muscle was esults p quite faint. These r
Accomplishing More Together

Fostering and maintaining strong collaborative relationships are critically important for paraprofessionals and special education teachers working together to provide a high-quality education for students with severe disabilities. Through in-depth interviews with 22 teachers and paraprofessionals comprising nine educational teams, we examined educator perspectives on what influences the quality of their professional relationships, as well as how their perspectives on these influences converged or diverged. Teachers and paraprofessionals identified five themes of influences to the quality of their relationships: teacher influences, paraprofessional influences, shared influences (i.e., related to the collective efforts of teachers and paraprofessionals), administrative influences (i.e., related to school and district leaders), and underlying influences (i.e., related to contextual or other factors). The findings highlight the complex nature of these relationships and emphasize the importance of supporting teachers and paraprofessionals as they work together to meet the needs of students with severe disabilities. We offer recommendations for future research and practice aimed at strengthening the quality and impact of special educator–paraprofessional collaborations.
Science Journals — AAAS

Jolanda van Leeuwen, Carles Pons, Joseph C. Mellor, Takafumi N. Yamaguchi, Helena Friesen, John Koschwanez, Mojca Mattiazzi Ušaj, Maria Pechlaner, Mehmet Takar, Matej Ušaj, Benjamin VanderSluis, Kerry Andrusiak, Pritpal Bansal, Anastasia Baryshnikova, Claire E. Boone, Jessica Cao, Atina Cote, Marinella Gebbia, Gene Horecka, Ira Horecka, Elena Kuzmin, Nicole Legro, Wendy Liang, Natascha van Lieshout, Margaret McNee, Bryan-Joseph San Luis, Fatemeh Shaeri, Ermira Shuteriqi, Song Sun, Lu Yang, Ji-Young Youn, Michael Yuen, Michael Costanzo, Anne-Claude Gingras, Patrick Aloy, Chris Oostenbrink, AndrewMurray, Todd R. Graham, Chad L. Myers,* Brenda J. Andrews,* Frederick P. Roth,* Charles Boone*
Trend Analysis of Pakistan Railways Based on Industry Life Cycle Theory

The core purpose of this paper was to analyze the trend analysis of Pakistan railways from the year 1950 to 2015, using the principal component analysis method and industrial life cycle theory. Industrial life cycle theory, the development trend analysis of Pakistan railway industry, entails four stages: introduction, growth, maturity, and decline. The results indicated that railway industry in Pakistan was at its pinnacle in the middle of the seventies and thereafter the decline of railway industry was observed. The main reasons behind the decline were underinvestment, political interference, and the rise of the same-sector competitor, the National Logistics Cell (NLC). From the year 2011, it experienced an upward trend of combined utility curve and showed a new round of industry life cycle. To revive its previous glory, the current government has proposed a development document for Pakistan railways, Vision 2025. It is envisaged that railways share in transportation will be increased from current 4% to 20% by the year 2025, which seems to be an onerous challenge for the organization.
Does Intellectual Capital Affect Business Performance

The aim of this paper is to assess the impact of intellectual capital (IC) on firms’ financial performance with reference to a sample of companies operating in the European Union (EU) area during the period from 2006 to 2013. The analyses are further differentiated by country of domicile, industry sector, and historical period (pre-crisis and crisis). We investigate whether the value of the components of IC is a relevant factor that influences firms’ performance, proposing and testing a modified version of the value added intellectual capital (VAIC TM ) model which also considers country-specific differences in terms of default risk. The empirical results evidence the relevance of the information on IC disclosed by companies. Differences arise depending on the reference country, industry, and historical period examined. The main limitations of the research are the unbalanced structure of the sample among countries and industries and the specificity of the examined sample (listed firms applying IAS/IFRS system). The main implication of the study is that, since we demonstrate the value relevance of IC, our findings could be of interest for standard setters for defining a standard (qualitative and quantitative) level of information on human resources to be disclosed by companies in their financial statements. Our contribution to the literature is the proposal of some relevant modifications to the original VAIC TM model and providing new evidence on the
Wavelet for Ultrasonic Flaw Enhancement and Image Compression

Ultrasonic imaging has been widely used in Non‐destructive Testing (NDT) and medical application. However, the image is always degraded by blur and noise. Besides, the pressure on both storage and transmission gives rise to the need of image compression. We apply 2‐D Discrete Wavelet Transform (DWT) to C‐scan 2‐D images to realize flaw enhancement and image compression, taking advantage of DWT scale and orientation selectivity. The Wavelet coefficient thresholding and scalar quantization are employed respectively. Furthermore, we realize the unification of flaw enhancement and image compression in one process. The reconstructed image from the compressed data gives a clearer interpretation of the flaws at a much smaller bit rate.
Time-reversed reverberation yields lower speech recognition rate by human and machine

We first compared a speech signal with two reverberations, normal reverberation and its time-reversed version, that have the same modulation transfer function. Results showed that intelligibility of speech with the time-reversed reverberation was significantly less than that with the normal reverberation. We then compared the results of human speech recognition (HSR) with those of automatic speech recognition (ASR) to see whether a similar tendency could be observed in both cases. Results showed the similar asymmetry in ASR, but we found the HSR was more tolerant even though reverberation becomes longer. Finally, we discussed factors of asymmetric temporal properties in speech production and perception that current speech recognizers do not have.
INTERACTION BETWEEN SOME PLANTS TANNINS AND MILK PROTEIN

Tannin fractions were isolated from walnuts (Juglans regia), green tea and lentil (lens culinaris L.), used tannin acid as standard. The total phenolic compound and condensed tannins content were determined of these tannins. It was found that the tannins from walnuts had the highest total phenolic compound and the lowest condensed tannins, while green tea had the highest condensed tannins. The interaction between tannins fraction from plant sources and tannic acid (as standard) with casein precipitated from skim milk (by acidification) was determined using precipitating potential method. The optimum pH of the interactions was at pH 5, while the lowest interaction was at pH 8. The highest precipitating potential was noted for tannic acid followed by walnuts, green tea and lentil. Moreover the tannins-casein complex was determined using fluorescence quenching method. The interaction between casein and tannic acid had the most extensive fluorescence quenching and it was in order walnut > green tea > lentil for plant tannins.
Contribution to High Performance Computing and Big Data Infrastructure Convergence. (Contribution à la convergence d'infrastructure entre le calcul haute performance et le traitement de données a large échelle)

La quantite de donnees produites dans le monde scientifique comme dans le monde commercial, est en constante augmentation. Le domaine du traitement de donnee a large echelle, appele “Big Data”, a ete invente pour traiter des donnees sur de larges infrastructures informatiques distribuees. Mais l’integration de systeme Big Data sur des machines de calcul intensif pose de nombreux problemes. En effet, les gestionnaires de ressources ainsi que les systemes de fichier de super calculateurs ne sont pas penser pour ce type de travail. Le sujet de cette these est de trouver la meilleure approche pour faire interagir ces deux gestionnaires de ressources et de traiter les differents problemes souleves par les mouvements de donnees et leur ordonnancement.
Deliberate Learning and Vocabulary Acquisition in a Second Language

This study investigates outcomes of deliberate learning on vocabulary acquisition in a second language (L2). Acquisition of 48 pseudowords was measured using the lexical decision task with visually presented stimuli. The experiments drew on form priming, masked repetition priming, and automatic semantic priming procedures. Data analyses revealed a prime lexicality effect (Experiment 1), repetition priming effect (Experiment 2), and semantic priming effect (Experiment 3) for the deliberately learned pseudowords. The outcomes of deliberate learning were further examined using a coefficient of variability (CVRT) calculated for the participants’ response latencies in Experiments 2 and 3. The results showed that the learned pseudowords were processed with a higher degree of automaticity than nonwords and low-frequency L2 words. Taken together, the findings provide evidence that deliberate learning triggered the acquisition of representational and functional aspects of vocabulary knowledge.
Moral Hazard, Aggregate Risk and Linear Financial Contracts

We study competitive equilibria with moral hazard in economies with aggregate risk and where trading occurs with an incomplete set of . nancial assets. The main conclusion of the paper is that, contrary to the individual risk economies, moral hazard is compatible with trading in competitive linear . nancial contracts, and gives rise to no manipulation problem. We establish existence of nonmanipulable equilibria provided that there are no relative price e¤ects (e.g. a one-commodity economy), and that . nancial markets display nonlinearly homogeneous payo¤s (e.g., nominal), and are su¢ciently incomplete. Finally, we justify the linear contract as the optimal pricing schedule in a speci.c trading game with an auctioneer. Journal of Economic Literature Classi.cation Numbers: D50, D82.
Automated extraction of oscillation parameters for Kepler observations of solar-type stars

The recent launch of the Kepler space telescope brings the opportunity to study oscillations systematically in large numbers of solar-like stars. In the framework of the asteroFLAG project, we have developed an automated pipeline to estimate global oscillation parameters, such as the frequency of maximum power (nu_max) and the large frequency spacing (Delta_nu), for a large number of time series. We present an effective method based on the autocorrelation function to find excess power and use a scaling relation to estimate granulation timescales as initial conditions for background modelling. We derive reliable uncertainties for nu_max and Delta_nu through extensive simulations. We have tested the pipeline on about 2000 simulated Kepler stars with magnitudes of V~7-12 and were able to correctly determine nu_max and Delta_nu for about half of the sample. For about 20%, the returned large frequency spacing is accurate enough to determine stellar radii to a 1% precision. We conclude that the methods presented here are a promising approach to process the large amount of data expected from Kepler.
Systematic Development of Tomato BioResources in Japan

Recently, with the progress of genome sequencing, materials and information for research on tomato (Solanum lycopersicum) have been systematically organized. Tomato genomics tools including mutant collections, genome sequence information, full-length cDNA and metabolomic datasets have become available to the research community. In Japan, the National BioResource Project Tomato (NBRP Tomato) was launched in 2007, with aims to collect, propagate, maintain and distribute tomato bioresources to promote functional genomics studies in tomato. To this end, the dwarf variety Micro-Tom was chosen as a core genetic background, due to its many advantages as a model organism. In this project, a total of 12,000 mutagenized lines, consisting of 6000 EMS-mutagenized and 6000 gamma-ray irradiated M2 seeds, were produced, and the M3 offspring seeds derived from 2236 EMS-mutagenized M2 lines and 2700 gamma-ray irradiated M2 lines have been produced. Micro-Tom mutagenized lines in the M3 generation and monogenic Micro-Tom mutants are provided from NBRP tomato. Moreover, tomato cultivated varieties and its wild relatives, both of these are widely used for experimental study, are available. In addition to these bioresources, NBRP Tomato also provides 13,227 clones of full-length cDNA which represent individual transcripts non-redundantly. In this paper, we report the current status of NBRP Tomato and its future prospects.