Miracle-dz/UniFAR-FTUs huggingface dataset:
The hybrid classifier for the task of career guidance testing

Career guidance testing assumes the presence of several types of individuals, and in the case when the output data of testing are images that characterize certain qualities of the subjects – several types (classes) of images. The image classes includes of selected searchable elements that determine whether an image belongs to a particular selected type (class). There is a ColourUnique M software module that allows you to automate the process of testing and saving test forms. The functions of the classifier are still performed by an expert (teacher or psychologist), which implies errors in evaluating the result due to individual characteristics of human perception, which can negatively affect the reliability of the classification. The paper considers two algorithms for evaluating images (the made test forms), one of which is a neural network, and the second is a filtering algorithm with hard – defined areas for determining the desired elements. During the implementing of these algorithms, a number of problems arose. The classifier is created in order to improve the accuracy of classification, both in comparison with expert assessment and with the first experimental data obtained. For achieve of the most reliable classification results, the authors consider the possibility of implementing a hybrid classifier for career guidance tasks.
An Ethnography of Taiwanese International Students’ Identity Movements

Many studies focus on Chinese-speaking international students’ adaptation issues inside and outside educational settings in the West. A strong emphasis has been placed on identifying Chinese-speaking international students’ problems and solving them through educational programs, pedagogies, and curricula. This emphasis categorizes these students as a cohort that have issues learning and living in Western societies, a categorization that ignores identity as complex and context-dependent. Drawing on a Bourdieuian poststructuralist perspective, this 18-month-long study documented the experiences of nine Taiwanese international students at different Australian universities before, during, and after their 1-year postgraduate education in Australia. This study compared their experiences and highlighted the complexity of identity movements. The findings present habitus modification and habitus improvisation, two notions developed from a Bourdieuian perspective. In conclusion, this study encourages reassessment of the standard notions of adaptation and prompts further exploration of how international students use their overseas experiences in the home context.
SERIE “ A ” TRABAJOS DE MATEMÁTICA N o 96 / 09 Active-set strategy in NEWUOA for optimization without derivatives

We present an algorithm for solving unconstrained optimization problems without derivatives based on NEWUOA, the Powell’s algorithm, for derivative-free optimization. At each iteration, a quadratic interpolation model of the objective function around the current iterate is constructed and this model is minimized to obtain the new trial point. The whole process is embedded within a trust-region framework. In our algorithm, we use the infinity norm and we solve a box constrained quadratic problem by using an active set strategy exploring the faces of the box. An spectral gradient approach is used to abandon the face. Numerical experiments show that our algorithm requires less functional evaluations than NEWUOA, thus it confirms the promising behavior of the algorithm.
Genomic identification of rhizobia-related strains and threshold of ANI and core-genome for family , genus and species

Aiming at accurately and rapidly identifying our heavy metal resistant rhizobial strains, genomic average nucleotide identity (ANI) and core genome analyses were performed to investigate the phylogenetic relationships among 45 strains in the families of Rhizobiaceae and Bradyrhizobiaceae. The results showed that both of the ANI and core-genome phylogenetic trees revealed similar relationship. In ANI analysis, the 90%, 75% and 70% ANI values could be the thresholds for species, genus and family, respectively. Analyzing the genomes using multi-dimensional scaling and scatter plot showed highly consistent with the ANI and core-genome phylogenetic results. With these thresholds, the 45 strains were divided into 24 genomic species within the genera Agrobacterium, Allorhizobium, Bradyrhizobium, Sinorhizobium and a putative novel genus represented by Ag. albertimagni AOL15. The ten arsenite-oxidizing and antimonite tolerant strains were identified as Ag. radiobacter, and two Sinorhizobium genomic species differing from S. fredii. In addition, the description of Pararhizobium is questioned because ANI values greater than 75% were detected between P. giardinii H152T and Sinorhizobium strains. Also, reversion of the species definition for several strains in R. etli and R. leguminosarum was suggested. Our results demonstrate that analyses of ANI and core-genome are rapid and confident methods to identify the rhizobial strains, and it will be also convenient when more genome data are accumulated. Keywords—Antimonite tolerance, arsenite-oxidation, genome, phylogeny, Rhizobia.
Update : Acute Heart Failure ( V ) Imaging Techniques in Acute Heart Failure

In recent years, imaging techniques have revolutionized the diagnosis of heart failure. In patients with a clinical picture of acute decompensation, prognosis is largely determined by early implementation of general measures and treatment of the underlying cause. Given its diagnostic yield and portability, ultrasound has become an essential tool in the setting of acute heart failure, and is currently found in all medical departments involved in the care of the critically ill patient. Cardiac magnetic resonance and computed tomography allow detailed characterization of multiple aspects of cardiac structure and function that were previously unavailable. This helps guide and monitor many of the treatment decisions in the acute heart failure population in an entirely noninvasive way. This article aims to review the usefulness of the imaging techniques that are clinically relevant in the context of an episode of acute heart failure. We discuss the indications and limitations of these techniques in detail and describe the general principles for the appropriate interpretation of results. 2015 Sociedad Española de Cardiologı́a. Published by Elsevier España, S.L. U. All rights reserved. Técnicas de imagen en la insuficiencia cardiaca aguda
Multi-objective optimization design of a 30 kW Electro-hydrostatic Actuator

Electro-hydrostatic actuators (EHAs) combine the advantages of electric and hydraulic actuators, and it is resulting in a preferable solution for the heavy load actuation in applications such as aircrafts, ships, construction machines, and machine tools. The required power level of the EHA is increasing because the EHA is being introduced to heavier vehicles such as submarines and heavy launch vehicles. Thus, a 30 kW EHA is under development for launch vehicles, which simultaneously require high dynamic performance, light weight, high efficiency, etc. However, the existing optimization design methods of EHA do not take in account all the requirements, especially the dynamic performance. Therefore, a dedicate multi-objective optimization design method is proposed for the preliminary design for the 30 kW EHA. In this study, firstly, the design requirements were analyzed for the launch vehicle application, and the objectives and the constraints of the optimization design were defined for the 30 kW EHA. Secondly, dedicate models were developed for evaluating each objective or constraint. Among these models, the EHA weight is estimated through the scaling law method and analytical calculation, the bandwidth is estimated based on the cascaded control method, the energy consumption is evaluated by the inverse dynamic simulation utilizing dedicate Matlab codes. Thirdly, the multi-objective EHA optimization design was implemented based on the genetic algorithm. Hereby, the key parameters were decided for the proposed EHA design. At last, the optimization design results were evaluated through simulation analysis, which demonstrated that the 30 kW EHA achieved more than 10 Hz bandwidth with under 70 kg weight while the efficiency was also optimized. In addition, the proposed method is shown to be competent for the preliminary design of high power EHAs which are subject to multiple critical requirements.
Molecular Typing and Phylogenetic Analysis of Cutaneous Leishmania from Iraqi Patients

This study aimed for molecular characterization of local isolates of L. tropica and L. major and theirrelatedness to reference isolated from neighboring countries. Exudates and dermal tissues were collectedfrom the cutaneous lesions of 50 newly diagnosed patients with CL. Leishmania DNA was extracted fromlesion exudate and 5.8S rRNA gene was amplified using two sets of specific primers through nested PCR. Atotal of 12 PCR products were directly sequenced and the resultant sequences were aligned with referencesequences in National Center for Biotechnology Information (NCBI). A phylogenetic tree was constructedfor local Leishmania isolates with the reference isolates using Mega 6 software. According to alignmentresults out of 12 sequences, 9 sequences were belonging to L. major, while 3 sequences were belonging toL. tropica. All local L. major isolates were very close to reference isolate KP773404.1 (an Iranian isolate),while all local L. tropica isolates were very close to reference isolate KY612611.1 (an Iranian isolate) withan identity of 98%. Phylogenetic trees confirmed that closest isolates for local Leishmania (whether L.tropica or L. major) was the Iranian isolate. These data indicate that local isolates of L. tropica and L. majorare closely related to Iranian isolates.
N A ] 2 3 A ug 2 01 1 A fast parallel algorithm for solving block-tridiagonal systems of linear equations as applied to the domain decomposition method

In this paper we offer a new parallel algorithm for solving systems of linear algebraic equations with the same block-tridiagonal matrix but with different right-hand sides. The method under study is a generalization of the parallel Dichotomy Algorithm for solving systems of linear equations with tridiagonal matrices [1]. Based on the approach developed, we propose a parallel realization of the domain decomposition method (the Schur complement method). The calculation of acoustic wave fields by the spectral-difference technique has proved the efficiency of the developed parallel algorithms. A near-linear dependence of a speedup value on the number of processors is attained both using several and several thousands of processors. The innovation of this study is in that the developed parallel algorithm for solving block-tridiagonal systems of equations allows and effective and, which is no less important, simple realization of efficient numerical procedures for solving engineering tasks on a supercomputer.
Progression of the canonical reference malaria parasite genome from 2002–2019

Here we describe the ways in which the sequence and annotation of the Plasmodium falciparum reference genome has changed since its publication in 2002. As the malaria species responsible for the most deaths worldwide, the richness of annotation and accuracy of the sequence are important resources for the P. falciparum research community as well as the basis for interpreting the genomes of subsequently sequenced species. At the time of publication in 2002 over 60% of predicted genes had unknown functions. As of March 2019, this number has been significantly decreased to 33%. The reduction is due to the inclusion of genes that were subsequently characterised experimentally and genes with significant similarity to others with known functions. In addition, the structural annotation of genes has been significantly refined; 27% of gene structures have been changed since 2002, comprising changes in exon-intron boundaries, addition or deletion of exons and the addition or deletion of genes. The sequence has also undergone significant improvements. In addition to the correction of a large number of single-base and insertion or deletion errors, a major miss-assembly between the subtelomeres of chromosome 7 and 8 has been corrected. As the number of sequenced isolates continues to grow rapidly, a single reference genome will not be an adequate basis for interpreting intra-species sequence diversity. We therefore describe in this publication a population reference genome of P. falciparum, called Pfref1. This reference will enable the community to map to regions that are not present in the current assembly. P. falciparum 3D7 will continue to be maintained, with ongoing curation ensuring continual improvements in annotation quality.
Edinburgh Research Explorer Measurement of the Gamma Ray Background in the Davis Cavern at the Sanford Underground Research Facility

Deep underground environments are ideal for low background searches due to the attenuation of cosmic rays by passage through the earth. However, they are aﬀected by backgrounds from γ -rays emitted by 40 K and the 238 U and 232 Th decay chains in the surrounding rock. The LUX-ZEPLIN (LZ) experiment will search for dark matter particle interactions with a liquid xenon TPC located within the Davis campus at the Sanford Underground Research Facility, Lead, South Dakota, at the 4,850-foot level. In order to characterise the cavern background, in-situ γ -ray measurements were taken with a sodium iodide detector in various locations and with lead shielding. The integral count rates (0–3300 keV) varied from 596 Hz to 1355 Hz for unshielded measurements, corresponding to a total ﬂux in the cavern of 1 . 9 ± 0 . 4 γ cm − 2 s − 1 . The resulting activity in the walls of the cavern can be characterised as 220 ± 60 Bq/kg of 40 K, 29 ± 15 Bq/kg of 238 U, and 13 ± 3 Bq/kg of 232 Th.
Learning Embeddings for Approximate Lifted Inference in MLNs

We present a dense representation for Markov Logic Networks (MLNs) that encodes symmetries in the MLN. Such a representation is particularly important in the context of lifted inference algorithms that scale up by exploiting symmetries. By leveraging advances in neural networks, we learn a novel representation for symmetries that is hard to specify explicitly using hand-crafted features. Specifically, we learn an embedding for MLN objects that predicts the context of an object, i.e., objects that appear along with it in formulas of the MLN, since common contexts indicate symmetry in the distribution. Importantly, using such a formulation we can adapt existing skip-gram models to learn symmetries efficiently. In this paper, we present an overview of our approach and some experimental results that show its promise in improving inference algorithms for MLNs.
Optical, Electrical, and Surface Properties of Cu/Plasma Polymer Fluorocarbon Nanocomposite Thin Film Fabricated Using Metal/Polymer Composite Target

We propose a new method of fabricating metal–polymer composite targets for sputtering, which makes it easier to control the composition and enables the homogeneous and reproducible fabrication of metal–polymer nanocomposites over large areas. Using Cu/polytetrafluoroethylene composite targets containing 20, 50, and 80 wt. % Cu, Cu/plasma polymer fluorocarbon (PPFC) nanocomposite thin films were prepared by radio-frequency (RF) sputtering. Targets with 80 wt. % Cu were conductive; moreover, sputtering was possible not only with RF but also with mid-range frequency (MF) and direct current (DC) power sources. The nanocomposite thin film deposited by MF and DC power using an 80 wt. % Cu target showed near-metallic characteristics, exhibited absorption peaks at 618 and 678 nm, and had a surface resistance of 2 × 104 and 34.55 Ω/sq, respectively. We also analyzed the structure and composition of the Cu/PPFC nanocomposite films by X-ray diffraction and X-ray photoelectron spectroscopy. The described metal–polymer targets can advance the applications and commercialization of nanocomposite thin films.
Text-mining for Lawyers: How Machine Learning Techniques Can Advance our Understanding of Legal Discourse

Many questions facing legal scholars and practitioners can only be answered by analysing and interrogating large collections of legal documents: statutes, treaties, judicial decisions and law review articles. I survey a range of novel techniques in machine learning and natural language processing – including topic modelling, word embeddings and transfer learning – that can be applied to the large-scale investigation of legal texts.
Degree growth for tame automorphisms of an affine quadric threefold

In this paper, we consider the degree sequences of the tame automorphisms preserving an affine quadric threefold. Using some valuatives estimates derived from the work of Shestakov-Umirbaev and the action of this group on a CAT(0), Gromov-hyperbolic square complex constructed by Bisi-Furter-Lamy, we prove that the dynamical degrees of tame elements avoid any value strictly between 1 and 4/3. As an application, these methods allow us to characterize when the growth exponent of the degree of a random product of finitely many tame automorphisms is positive.
An efficient implementation of GLCM algorithm in FPGA

This paper presents hardware (HW) architecture for fast parallel computation of Gray Level Co-occurrence Matrix (GLCM) in high throughput image analysis applications. GLCM has proven to be a powerful basis for use in texture classification. Various textural parameters calculated from the GLCM help understand the details about the overall image content. However, the calculation of GLCM is very computationally intensive. In this paper, an FPGA accelerator for fast calculation of GLCM is designed and implemented. We propose an FPGA-based architecture for parallel computation of symmetric co-occurrence matrices. This architecture was implemented on a Xilinx Zedboard and Virtex 5 FPGAs using Vivado HLS. The performance is then compared against other implementations. The validation results show an optimization on the order of 33% in latency number by contribution to the literature implementation.
SERIE “ A ” TRABAJOS DE INFORMÁTICA N o 2 / 09 Partial Order Reduction for Probabilistic Systems Assuming Distributed Schedulers

In the verification of probabilistic systems, distributed schedulers are used to obtain tight bounds on worst-case probabilities, these bounds being more realistic than the ones obtained by considering unrestricted full-history dependent schedulers. In this paper, we define two classes of distributed schedulers. We present undecidability results related to the automatic verification under these classes of schedulers. In previous literature, we have proven that the model checking problem is undecidable for distributed schedulers. However, in this paper we show that, by assuming that the schedulers are in a given class, the technique of partial order reduction (POR) for LTL properties can be applied in a more efficient way than usual, thus yielding a system with less states and transitions than if reduced assuming unrestricted schedulers. The reduced system can then be analysed using well-known algorithms for full-history dependent schedulers. Our partial order reduction technique may also obtain bounds strictly tighter than the ones obtained by considering unrestricted schedulers (of course, such bounds are safe with respect to the class of schedulers under consideration). We explain that the two variants we present are obtained from a general theorem, thus raising the question of whether there are other “natural” classes of schedulers for which POR variants can be developed.
Performance improvement of microstrip patch antenna using a novel double‐layer concentric rings metaplate for 5G millimeter wave applications

This paper presents the performance improvement of a microstrip patch antenna (MPA) using a novel double‐layer concentric rings metaplate (DLCRM) for fifth‐generation (5G) millimeter wave (mmWave) applications. To improve the performance of the proposed antenna, a DLCRM is placed above the MPA having an air gap. The design procedure is explained using the different shapes of DLCRM, and the double negative (DNG) characteristic of metamaterial is verified. Moreover, the effects of the DLCRM on the MPA are validated by experimental results. The proposed antenna attains a high‐gain of 11.59 dBi and has an impedance bandwidth from 27.1 GHz to 29.56 GHz (8.68%) which is the potential 5G mmWave band. The measurement result shows that the bandwidth of the antenna is improved by 2.04%, and broadside gain is increased by 4.69 dBi compared to the MPA without a DLCRM. Thus, the antenna provides high gains with wide bandwidth that makes it a suitable candidate for 5G mmWave applications.
Group Hug: Platform Competition With User-Groups

We consider platform competition in the presence of small users and a user-group. One platform enjoys a quality advantage and the other benefits from favorable beliefs. We study whether the group mitigates the users' coordination problem –i.e., joining a low-quality platform because they believe that other users would do the same. We find that when the group is sufficiently large to facilitate coordination on the high-quality platform, the group may choose to join the low-quality one. When the group joins the more efficient platform it does not necessarily increase consumer surplus. Specifically, a non-group user benefits from a group with an intermediate size, and prefers a small group over a large group. The utility of a group user is also non-monotonic in the size of the group.
Association of Trypanolytic ApoL 1 Variants with Kidney Disease in African Americans

African Americans have higher rates of kidney disease than European Americans. Here, we show that, in African Americans, focal segmental glomerulosclerosis (FSGS) and hypertension-attributed end-stage kidney disease (H-ESKD) are associated with two independent sequence variants in the APOL1 gene on chromosome 22 {FSGS odds ratio = 10.5 [95% confidence interval (CI) 6.0 to 18.4]; H-ESKD odds ratio = 7.3 (95% CI 5.6 to 9.5)}. The two APOL1 variants are common in African chromosomes but absent from European chromosomes, and both reside within haplotypes that harbor signatures of positive selection. ApoL1 (apolipoprotein L-1) is a serum factor that lyses trypanosomes. In vitro assays revealed that only the kidney disease–associated ApoL1 variants lysed Trypanosoma brucei rhodesiense. We speculate that evolution of a critical survival factor in Africa may have contributed to the high rates of renal disease in African Americans.
Regional Convergence and Divergence in Europe. Patterns and regularities

In the recent wave of interest in European regional growth many studies have focused on spatial patterns in economic growth. These studies have indicated that growth is spatially dependent and that clustering as well as de-clustering are parts of economic development processes. The distribution dynamics approach has revealed important characteristics of regional growth. This paper adds to the literature in three ways. First, Conditional income distributions are used in a novel way as a basic tool for empirical growth studies. By conditioning income on averages of subsets of the sample, new dimensions of the impact of covariates can be revealed. Second, by applying this methodology on geographical distance, new results on spatial growth patterns in Europe are obtained. It is demonstrated that convergence is pronounced between regions that are far away from each other while there is no convergence between neighbor regions. Third, it is shown how the conditional sigma-convergence approach can be extended to other dimensions than the spatial one.