Miracle-dz/UniFAR-FTUs huggingface dataset:
IRANIAN ARMENIANS IN THE ARMENIAN GENETIC LANDSCAPE

The place of modern Armenians living in Iran in the context of general Armenian population was clarified based on Y chromosomal single nucleotide (SNP) and microsatellite (MS) polymorphisms. 89 DNA samples in form of buccal swabs have been collected in ethnic Armenian males who are the direct descendants of Armenians forcibly moved to Iran in the beginning of 17th century AD. Twelve SNP and six MS markers have been typed to describe patrilineal genetic structure of the group studied and to compare with six geographic groups of Armenians representing different areas of Historical Armenia. The results indicate that modern Iranian Armenians are genetically closer to Western Armenians which is in agreement with historical records. Political and geographic isolation during the last four centuries had moderate influence on the genetic structure of the community that is expressed in lower diversity of their patrilineal genetic legacy.
The Anxiety Level of the Children with Autism and Its Relationship with Several Variables in Qatar

The present study aimed to explore the anxiety level of the children with autism in Qatar. It aimed to explore whether there is any statistically significant difference between the anxiety levels of the autistic children which can be attributed to (gender, school stage, school type or family type). The researchers adopted a descriptive analytical approach. The sample consists from 250 female and male children with autism. Those children were selected from public and private schools in Qatar. The scale of the present study was developed based on the anxiety scale for children with autism spectrum disorder (ASC-ASD). The latter scale was developed by Rodgers et al. (2016). It consists from 24 items. It collects demographic data about (gender, school stage, school type and family type). The researchers concluded that the anxiety level of the children with autism in Qatar is low. They concluded that there isn’t any statistically significant difference between the anxiety levels of the children with autism which can be attributed to (gender or school stage). They concluded that there are statistically significant differences between the anxiety levels of the children with autism which can be attributed to (the school type or family type). The latter differences are for the favor of the children in private schools. They are for the favor of the children who live in families in which one parent or both parents passed away. The researchers recommend integrating the children with autism into society through engaging those children in extra-curricular activities.
3D mesh animation compression based on adaptive spatio-temporal segmentation

With the recent advances of data acquisition techniques, the compression of various 3D mesh animation data has become an important topic in computer graphics community. In this paper, we present a new spatio-temporal segmentation-based approach for the compression of 3D mesh animations. Given an input mesh sequence, we first compute an initial temporal cut to obtain a small subsequence by detecting the temporal boundary of dynamic behavior. Then, we apply a two-stage vertex clustering on the resulting subsequence to classify the vertices into groups with optimal intra-affinities. After that, we design a temporal segmentation step based on the variations of the principle components within each vertex group prior to performing a PCA-based compression. Our approach can adaptively determine the temporal and spatial segmentation boundaries in order to exploit both temporal and spatial redundancies. We have conducted many experiments on different types of 3D mesh animations with various segmentation configurations. Our comparative studies show the competitive performance of our approach for the compression of 3D mesh animations.
Adoption of Improved Soybean Varieties and Differences in Technical Efficiency Between Improved and Local Soybean Varieties in Southern Shan State, Myanmar

This study determined the factors influencing the adoption of improved soybean varieties and examined the technical efficiencies of improved and local soybean varieties production in Southern Shan State, Myanmar. For this study, data from a sample of 337 respondents were collected by employing a multi-stage random sampling method. Logit model was adopted to determine the factors influencing the adoption of improved soybean varieties. Additionally, a stochastic production frontier was used to examine technical efficiencies of improved and local soybean varieties. Results show that factors that positively and significantly influence the adoption of improved soybean varieties are education, market access, extension access and training access. Examination of technical efficiency reveals that labor, fertilizer, machinery, and use of pesticide and harvester are inputs that significantly contribute to improving production efficiency among the improved variety farmers while seeds, labor, and fertilizer are significant inputs of local soybean production. On average, the estimated yield of the improved soybean varieties is 1.51 t/ha, which is higher than the yield of local soybean varieties grown at 0.88 t/ha. It was also revealed that improved soybean varieties had a relatively higher level of mean technical efficiency (85.04%) than local varieties (70.13%) and significantly different at 1% level. The results show that improved soybean production is more efficient than local soybean production. Therefore, government and non-government organizations should improve and provide market access, efficient and effective extension services and training to encourage farmers to adopt improved soybean varieties.
From Chaos to Order: Symmetry and Conservation Laws in Game Dynamics

Games are an increasingly useful tool for training and testing learning algorithms. Recent examples include GANs, AlphaZero and the AlphaStar league. However, multi-agent learning can be extremely difﬁcult to predict and control. Learning dynamics even in simple games can yield chaotic behavior. In this paper, we present basic mechanism design tools for constructing games with predictable and controllable dynamics. We show that arbitrarily large and complex network games, encoding both cooperation (team play) and competition (zero-sum interaction), exhibit conservation laws when agents use the standard regret-minimizing dynamics known as Follow-the-Regularized-Leader. These laws persist when different agents use different dynamics and encode long-range correlations between agents’ behavior, even though the agents may not interact directly. Moreover, we provide sufﬁcient conditions under which the dynamics have multiple, linearly independent, conservation laws. Increasing the number of conservation laws results in more predictable dynamics, eventually making chaotic behavior formally impossible in some cases.
A SHORT INTRODUCTION TO MAPPING CLASS GROUPS

These informal notes accompany a talk given in Strasbourg for the Master Class on Geometry (spring 2009). We introduce the mapping class group of a surface and its enigmating subgroup, the Torelli group. One hour and seventeen pages are certainly not enough to present this beautiful and rich subject. So, we recommend for further reading Ivanov’s survey of the mapping class group [16] as well as Farb and Margalit’s book [9], which we used to prepare this talk. Johnson’s survey [20] gives a very nice introduction to the Torelli group, while Morita’s paper [30] reports on more recent developments of the subject.
Effect of lysozyme, tributyrin, Bacillus amyloliquefaciens SC06 and enramycin on growth performance, nutrient digestibility and carcass characteristics of broiler during finisher phase.

Antibiotics have been extensively used in the feed of animals (Huyghebaert et al., 2011) to enhance boy weight gain and feed efficiency (Huyghebaert et al., 2011). Recently, many countries have banned the antibiotics in the feed as growth promoters due to microbial resistance to antibiotics (Walia et al., 2019). However, in developing countries, poultry feed industry is still using antibiotics in the feed of poultry birds as growth promoters to improve birds performance and to protect birds from various diseases (Huyghebaert et al., 2011). Recently, scientist of developed countries and developing countries are trying to find alternative sources to prepare antibiotic free diets (Hassan et al., 2010; Hussein and Selim, 2018). In the current scenario people are working on many antibiotic replacers like probiotics, prebiotics, immunomodulating enzymes, organic acids and herbs to substitute antibiotics in broiler diet to improve growth performance and immunity against diseases (Liu et al., 2010; Gong et al., 2017; Hussein and Selim, 2018; John, 2019). It has been reported that exogenous enzymes like xylanases and beta-glucanases in the feed act as an alternative antibacterial growth promoter (Huyghebaert et al., 2011) by reducing the propagation of pathogenic bacteria (Jackson et al., 2003). Lysozyme is also exogenous enzyme used in poultry feed and known to breaks the glycosidic bonds of peptidoglycan found in protective layer of bacterial cell wall (Zhang et al., 2010). Lysozyme inclusion in diet of broiler chicken prevents necrotic enteritis, stop α-toxin production, influences bacterial number in gut, provide immunity and improve broiler performance, hence, it has the potential to be used as an alternative of antibiotic (Liu et al., 2010; Zhang et al., 2010). The use of probiotics in the diet of poultry is due to its positive impact on gut health and better utilization of nutrients (Huyghebaert et al., 2011). Bacillus amyloliquefaciens SC06 is probiotic and is being widely used in poultry ration to improve the growth performance of birds. Bacillus amyloliquefaciens SC06 induce autophagy which provide prevention against bacterial infection and improve gut health which ultimately increase body weight gain, feed efficiency and immunity in growing chicken (Rajput et al., 2014; Wu et al., 2017). Butyric acid is an organic acid and known to improve growth performance and immunity of growing birds (Nari et al., 2020). It is prime energy source of enterocytes and considered Pak. J. Agri. Sci., Vol. 57(4), 949-956; 2020 ISSN (Print) 0552-9034, ISSN (Online) 2076-0906 DOI: 10.21162/PAKJAS/20.375 http://www.pakjas. com.pk
A Descriptive Study: Males’ and Females’ Involvement in Physical Activity and Eating Behaviors

It is important to determine differences in child and adolescent males’ and females’ eating and physical activity preferences to determine the design of interventions. The purpose of this study, which involved a secondary data analysis, was to evaluate gender differences among eating behaviors and physical activity involvement. There were a total of 157 males and females in this study. The participants completed a survey to assess eating behaviors and involvement in physical activity. To examine the data from the surveys, the Statistical Package for the Social Sciences (SPSS) Version 23.0 was used to compare and determine physical activity involvement and eating behaviors. Results of the study revealed more similarities than differences in gender among eating behaviors and physical activity involvement. Females endorsed consumption of salty/savory foods more than males. Males endorsed participation in more sports teams than females. Future research should continue to explore the types of eating behaviors and physical activity involvement through qualitative research and gender sensitive questionnaires.
Samudra and Sarasvati in the ¥gveda

The Hindu printed in several issues (18th, 25th June, etc, 2002) letters from Dr D. Frawley and Prof M.Witzel amounting to a controversy whether the rigvedic people had towns/forts and knew the ocean; also whether the river Sarasvati flowed down to the ocean. I sent a letter to that newspaper in mid-September 2002 giving my own views, but for unknown reasons my letter was not published. I have since revised the whole piece. Here I show that samudra does denote the ocean/sea and that Sarasvati did flow to the ocean prior to 3200 BC.
HDMI-Loc: Exploiting High Definition Map Image for Precise Localization via Bitwise Particle Filter

In this letter, we propose a method for accurately estimating the 6-Degree Of Freedom (DOF) pose in an urban environment when a High Definition (HD) map is available. An HD map expresses 3D geometric data with semantic information in a compressed format and thus is more memory-efficient than point cloud maps. The small capacity of HD maps can be a significant advantage for autonomous vehicles in terms of map storage and updates within a large urban area. Unfortunately, existing approaches failed to sufficiently exploit HD maps by only estimating partial pose. In this study, we present a full 6-DOF localization against an HD map using an onboard stereo camera with semantic information from roads. We introduce an 8-bit representation for road information, which allow for effective bitwise operation when matching between query data and the HD map. For the pose estimation, we leverage a particle filter followed by a full 6-DOF pose optimization. Our experimental results show a median error of approximately 0.3 m in the lateral and longitudinal directions for a drive of approximately 11 km. These results can be used by autonomous vehicles to correct the global position without using Global Positioning System (GPS) data in highly complex urban environments. The median operation speed is approximately 60 msec supporting 10 Hz.
The Effect of Bureaucratic School Structure on Teacher Leadership Culture: A Mixed Study

Citation: Parlar, H. , & Cansoy, R. (2017). The effect of bureaucratic school structure on teacher leadership culture: A mixed study. Educational Sciences: Theory & Practice, 17, 2175–2201. http://dx.doi. org/10.12738/estp.2017. 6.0150 * This paper was orally presented at the 8th International Education Management Forum (EYFOR 8) (May 11-13, 2017, Ankara, Turkey). 1 Correspondence to: Hanifi Parlar (PhD), Department of Educational Sciences, Istanbul Commerce University, Beyoğlu, İstanbul 34446 Turkey. Email: hparlar@ticaret.edu. tr 2 Department of Educational Sciences, Karabük University, Karabük, Turkey. Email: cansoyramazan@gmail.com Abstract The aim of this study is to examine the relationship between the effective functioning of the bureaucratic school structure and the teacher leadership culture. The study was carried out with the sequential mixed model approach, which is one of the mixed method designs. A total of 492 teachers working in primary, secondary and high schools located in Beyoğlu district of Istanbul province in the 2016-2017 academic year were included in the quantitative section of the study, and 20 teachers from the same district were included in the qualitative section. The “Effectiveness of the School Structure Scale” and the “Teacher Leadership Culture Scale” were used in collecting the quantitative data of the study. Descriptive analysis, correlation analysis and regression analysis were used in the analysis of quantitative data. In the qualitative section of the study, data were collected through semi-structured questions. The content analysis was used in their analysis. In the study, it was determined that the effectiveness of the bureaucratic structure of schools was at the moderate level and the schools’ levels of having teacher leadership culture were above the moderate level. The quantitative results of the study showed that the effectiveness level of the bureaucratic school structure had positive and significant relationships with the dimensions of occupational cooperation, school administrator’s support and supportive working environment, which are the dimensions of teacher leadership culture. It was observed that the effectiveness of the bureaucratic school structure explained the behavior of school administrator’s support, the supportive working conditions and the occupational cooperation environment that are the dimensions of teacher leadership culture, by 43%, 26% and 9%, respectively. Based on the interviews held with the participants, it was revealed that teacher leadership behaviors could be developed by school principals’ constructive and cooperative behaviors and the occupational, administrative and institutional supports, which will enable the roles of teachers. Furthermore, it was shown that culture in which teachers could exhibit leadership behaviors could be strengthened by the enabling structuring of the bureaucratic school structure.
Brand Experience and Intentions to Stay at Hotels in Zimbabwe: An Application of Khan and Rahman’s Hotel Brand Experience Scale

The study examines the applicability of Khan and Rahman’s (2017) hotel brand experience scale to the hotel context of Zimbabwe. The study employed a cross-sectional design to collect data from hotel guests. Data analysis was done using exploratory factor analysis and structural equation modelling. The results produced four dimensions of the original scale. In trying to establish the hypothesised relationships between the constructs, the results revealed that two dimensions: hotel ambience and hotel staff competence had a significant and positive influence on intention to continue staying at hotels whereas hotel location and guest to guest experience did not have any significant influence on intention to continue staying at hotels. The study offers hotel managers with the relevant dimensions that they should employ in order to design suitable strategies that enhance guests’ intention to continue staying at hotels.
Searching to Exploit Memorization Effect in Learning with Noisy Labels

Sample selection approaches are popular in robust learning from noisy labels. However, how to properly control the selection process so that deep networks can beneﬁt from the memorization effect is a hard problem. In this paper, motivated by the success of automated machine learning (AutoML), we model this issue as a function approximation problem. Speciﬁcally, we design a domain-speciﬁc search space based on general patterns of the memorization effect and propose a novel Newton algorithm to solve the bi-level optimization problem efﬁciently. We further provide theoretical analysis of the algorithm, which ensures a good approximation to critical points. Experiments are performed on benchmark data sets. Results demonstrate that the proposed method is much better than the state-of-the-art noisy-label-learning approaches, and also much more efﬁcient than existing AutoML algorithms.
New fundamental parameters of the Galactic open clusters Berkeley 26, Czernik 27, Melotte 72, NGC 2479 and BH 37

We have obtained CCD UBVI KC photometry down to V ~ 21.0 for the open clusters Berkeley 26, Czernik 27, Melotte 72, NGC 2479 and BH 37. The latter has never been studied before. Cluster stellar density profiles were obtained from star counts in appropriate-sized boxes distributed throughout the entire observed fields. Based on different measured indices, we estimate the ages of Berkeley 26, Melotte 72 and NGC 2479. On the other hand, we indicate possible solutions for the cluster fundamental parameters by matching theoretical isochrones which reasonably reproduce the main cluster features in their colour-magnitude diagrams. In the case of NGC 2479, the cluster E(B - V) and E(V - I) colour excesses and apparent distance modulus were estimated from the fit of the zero-age main sequence to the colour-colour and colour-magnitude diagrams, respectively.
Inferring properties of neural networks with intelligent designs

Neural networks have become popular tools for many inference tasks nowadays. However, these networks are functions derived from their training data and thorough analysis of these networks reveals information about the training dataset. This could be dire in many scenarios such as network log anomaly classifiers leaking data about the network they were trained on, disease detectors revealing information about participants such as genomic markers, facial recognition classifiers revealing data about the faces it was trained on, just to name a few alarming cases. As different industries employ this technology with open arms, it would be wise to be aware of the privacy impacts of openly shared classifiers. To that measure, we perform the first study of property inference attacks specifically for deep neural networks deriving properties of the training dataset with no information apart from the classifier parameters and architecture. We implement and compare different techniques to improve the effectiveness of the attack on deep neural networks. We show how different interpretations and representations of the same classifier 1) after sorting and normalizing the vector representation, 2) as a graph and 3) as a group of sets are able to increase leakage of data from the classifier, with the latter being the most effective. We compare effectiveness on a synthetic dataset, the US Census Dataset and the MNIST image recognition dataset, showing that critical properties such as training conditions or bias in the dataset can be derived by the attack.
Marine seismic sources: QC of wavefield computation from near‐field pressure measurements

A commercial marine seismic survey has been completed with the wavefield from the n‐element (single guns and clusters) airgun array measured for every shot using an array of n + 2 near‐field hydrophones, n of which were required to determine the source wavefield, the remaining two providing a check on the computation. The source wavefield is critical to the determination of the seismic wavelet for the extraction of reflection coefficients from seismic reflection data and for tying the data to wells. The wavefield generated by the full array of interacting airguns can be considered to be the superposition of n spherical pressure waves, or notional source signatures, the n hydrophone measurements providing a set of n simultaneous equations for each shot. The solution of the equations for the notional source signatures requires three ingredients: the geometry of the gun ports and near‐field hydrophones; the sensitivity of each hydrophone recording channel; and the relative motion between the near‐field hydrophones and the bubbles emitted by the guns. The geometry was measured on the back deck using a tape measure. A calibration data set was obtained at the approach to each line, in which each gun was fired on its own and the resulting wavefield was measured with the near‐field hydrophones and recorded. The channel sensitivities, or conversion from pressure at the hydrophones to numbers on the tape, were found for each near‐field hydrophone channel using the single gun calibration data, the measured geometry, and the peak pressure from each gun, known from the manufacturer’s calibration. The relative motion between the guns and hydrophones was obtained from the same calibration data set by minimizing the energy in the computed notional source signatures at the guns which did not fire. The full array data were then solved for the notional source signatures, and the pressure was computed at the two spare hydrophones and compared with the actual recordings. The rms errors were 5.3% and 2.8% and would have been smaller if the hydrophone channel sensitivities had been properly calibrated beforehand and if the movement of the guns with respect to the hydrophones had been more restricted. This comparison of the predicted and measured signatures at spare hydrophones can, in principle, be done on every shot and we recommend that this be implemented as a standard quality control procedure whenever it is desired to measure the wavefield of a marine seismic source.