Miracle-dz/UniFAR-FTUs huggingface dataset:
Autoconfiguration of Initial State of a Scalable Platform Over Cloud Environment

Companies that have high need of some computational resources for an specific space of time, nowadays, the pay as they use manner for resources required, that, is a good solution provided these days by some Cloud computing providers. Also solutions that represent a distributed computation for processes with high demand of calculation have appeared lately, the only problem is that when they are created, they need also be configured to share the same working space, this is the scope that comprehends this work, where the aim is to propose a framework that can be used as a solution of automation of the configurations that sometimes can take undetermined time and sometimes the user that configures it has to have a lot of knowledge and also configurations can turn in tricky ones generating a delay in the time where real productivity should be exploited
Assessment of the passive transference of immunity in calves using metabolic indicators

Fifteen cows and their calves (from the races Gyr, Brahaman and the cross Gyr x Holstein) were chosen randomly in order to determine the usefulness of the serum activity of Alkaline phosphatase (ALP) and the total serum proteins (TSP) as indicators of transference of immunity in calves through colostrum consumption in their first days of life. 300 ml of colostrum were collected from the cows on the day after delivery to determine total solids, total protein and ash content. Blood samples without anticoagulant were taken from the calves by jugular venipuncture on the 0, 4, 12, and 30th day post partum. The concentration of the TSP was determined using refractometry, while the ALP was determined through the enzymatic colorimetric assay. A high and statistically significant relationship was found between the percentages of crude protein of the colostrum and the total solids, thus, it can be concluded that just one of these measurements is required to study both indicators. The effect of time on the concentrations of TSP as well as on the enzymatic activity was evaluated through the use of ANOVA (Analysis of Variance). In the TSP there was a significant difference (p < 0.05) between the first (69 g/dl) and the 30th day (58 g/dl), in which the lowest concentration occurred. Average values, higher than 4.5 g/dl of the TSP were found, which may indicate that the calves developed passive immunity through colostrum consumption. The ALP enzymatic activity decreased progressively during the period of study (1326.4 U/L n the 1st day cf. 599 U/L on the 30th day post partum; p < 0.05). However, it was not proved that the ALP can be used as a direct indicator of the transference of passive immunity.
Applicability of Computer Vision Architectures and Their Influence on Traffic Safety of Autonomous Vehicles

This article considers modern rapid architectures of detecting neural networks, structural peculiarities of each selected neural network architectures are analyzed. Experiment is carried out on the basis of potentially dangerous situation upon autonomous vehicle movement; in the selected experimental environment a set of architectures for computer vision system of autonomous vehicle is analyzed, and traffic safety of autonomous vehicle is estimated under various weather conditions; computing time required for application of additional control and analysis algorithms is evaluated. Experimental results are analyzed aiming at development of reasonable selection of neural network architectures for object recognition required for variability of support of autonomous vehicle traffic. Conclusion about applicability of the considered neural network architectures is made for conditions of certain project.
Optimal Conditions for the Expression of Glycoprotein E2 of Classical Swine Fever Virus using Baculovirus in Insect Cells

The structural proteins of classical swine fever virus (CSFV) consist of nucleocapsid protein C and envelope glycoprotein E rns (E0), E1 and E2. Among them, E2, the most immunogenic of the CSFV glycoproteins, induces a protective immune response in swine. In this study, to determine the optimal expression conditions of glycoprotein E2 using baculovirus system, we investigated the influence of insect cells and media to the expression of recombinant E2. Recombinant virus containing glycoprotein E2 coding gene was constructed with bApGOZA DNA. Expression of the glycoprotein E2 was analyzed by SDS-PAGE and Western blot analysis using anti-CSFV E2 monoclonal antibodies. Expression of glycoprotein E2 in Sf21 cells was first observed after 3 days and reached a maximum on the 5th day after infection. Furthermore, the highest levels of glycoprotein E2 expression were observed at multiplicity of infection (MOI) of 5. When three different insect cell lines (Sf21, High-Five and Se301) were tested, High-Five cells showed the highest production. In addition, four different serum-free and serum-supplemented media, respectively, were tested for the expression of glycoprotein E2 and the budded virus (BV) titers. As a result, serum-supplemented medium provided the best conditions for protein production and the BV yield.
Linear Models are Most Favorable among Generalized Linear Models

We establish a nonasymptotic lower bound on the L2 minimax risk for a class of generalized linear models. It is further shown that the minimax risk for the canonical linear model matches this lower bound up to a universal constant. Therefore, the canonical linear model may be regarded as most favorable among the considered class of generalized linear models (in terms of minimax risk). The proof makes use of an information-theoretic Bayesian Cramér-Rao bound for log-concave priors, established by Aras et al. (2019).
audino: A Modern Annotation Tool for Audio and Speech

In this paper, we introduce a collaborative and modern annotation tool for audio and speech: audino. The tool allows annotators to define and describe temporal segmentation in audios. These segments can be labelled and transcribed easily using a dynamically generated form. An admin can centrally control user roles and project assignment through the admin dashboard. The dashboard also enables describing labels and their values. The annotations can easily be exported in JSON format for further processing. The tool allows audio data to be uploaded and assigned to a user through a key-based API. The flexibility available in the annotation tool enables annotation for Speech Scoring, Voice Activity Detection (VAD), Speaker Diarisation, Speaker Identification, Speech Recognition, Emotion Recognition tasks and more. The MIT open source license allows it to be used for academic and commercial projects.
Apparent differences between single layer molybdenum disulphide fabricated via chemical vapour deposition and exfoliation

Innovative applications based on two-dimensional solids require cost-effective fabrication processes resulting in large areas of high quality materials. Chemical vapour deposition is among the most promising methods to fulfill these requirements. However, for 2D materials prepared in this way it is generally assumed that they are of inferior quality in comparison to the exfoliated 2D materials commonly used in basic research. In this work we challenge this assumption and aim to quantify the differences in quality for the prototypical transition metal dichalcogenide MoS2. To this end single layers of MoS2 prepared by different techniques (exfoliation, grown by different chemical vapour deposition methods, transfer techniques and as vertical heterostructure with graphene) are studied by Raman and photoluminescence spectroscopy, complemented by atomic force microscopy. We demonstrate that as-prepared MoS2, directly grown on SiO2, differs from exfoliated MoS2 in terms of higher photoluminescence, lower electron concentration and increased strain. As soon as a water film is intercalated (e.g. by transfer) underneath the grown MoS2, in particular the (opto)electronic properties become practically identical to those of exfoliated MoS2. A comparison of the two most common precursors shows that the growth with MoO3 causes greater strain and/or defect density deviations than growth with ammonium heptamolybdate. As part of a heterostructure directly grown MoS2 interacts much stronger with the substrate and in this case an intercalated water film does not lead to the complete decoupling, which is typical for exfoliation or transfer. Our work shows that the supposedly poorer quality of grown 2D transition metal dichalcogenides is indeed a misconception.
A linear implicit Euler method for the finite element discretization of a controlled stochastic heat equation

We consider a numerical approximation of a linear quadratic control problem constrained by the stochastic heat equation with nonhomogeneous Neumann boundary conditions. This involves a combination of distributed and boundary control, as well as both distributed and boundary noise. We apply the finite element method for the spatial discretization and the linear implicit Euler method for the temporal discretization. Due to the low regularity induced by the boundary noise, convergence orders above $1/2$ in space and $1/4$ in time cannot be expected. We prove such optimal convergence orders for our full discretization when the distributed noise and the initial condition are sufficiently smooth. Under less smooth conditions the convergence order is further decreased. Our results only assume that the related (deterministic) differential Riccati equation can be approximated with a certain convergence order, which is easy to achieve in practice. We confirm these theoretical results through a numerical experiment in a two-dimensional domain.
The population biology of Gehyra (Gekkonidae). III. Patterns of microgeographic variation

The distribution of allozymic and chromosomal polymorphisms was examined among central Australian populations of the chromosomally variable genus Gehyra to assess whether they typically have the small deme size and low gene flow levels required by some models of chromosomal speciation. Particular attention was given to comparisons between rock‐specialists (Gehyra nana) and habitat‐generalists (Gehyra variegata) to investigate whether the former have more restricted gene flow. Both allozyme and chromosome data sets showed greater among population differentiation in the rock‐specialists than the habitat‐generalists, consistent with predictions from a previous ecological study (Moritz, 1987), although this pattern could also be due to historical effects. This was evident from the relationships between genetic and geographic distance, the conditional frequency of alleles, and F‐statistics. However, both taxa appear to have substantial levels of gene flow. This indicates that Gehyra populations typically do not meet the stringent conditions for the fixation of strongly underdominant chromosome rearrangements through strong genetic drift. A consistent deficiency of heterozygotes does, however, suggest the possibility of inbreeding which would increase the likelihood of the establishment of underdominant rearrangements.
DcardNet: Diabetic Retinopathy Classification at Multiple Levels Based on Structural and Angiographic Optical Coherence Tomography

Objective: Optical coherence tomography (OCT) and its angiography (OCTA) have several advantages for the early detection and diagnosis of diabetic retinopathy (DR). However, automated, complete DR classification frameworks based on both OCT and OCTA data have not been proposed. In this study, a convolutional neural network (CNN) based method is proposed to fulfill a DR classification framework using en face OCT and OCTA. Methods: A densely and continuously connected neural network with adaptive rate dropout (DcardNet) is designed for the DR classification. In addition, adaptive label smoothing was proposed and used to suppress overfitting. Three separate classification levels are generated for each case based on the International Clinical Diabetic Retinopathy scale. At the highest level the network classifies scans as referable or non-referable for DR. The second level classifies the eye as non-DR, non-proliferative DR (NPDR), or proliferative DR (PDR). The last level classifies the case as no DR, mild and moderate NPDR, severe NPDR, and PDR. Results: We used 10-fold cross-validation with 10% of the data to assess the network's performance. The overall classification accuracies of the three levels were 95.7%, 85.0%, and 71.0% respectively. Conclusion/Significance: A reliable, sensitive and specific automated classification framework for referral to an ophthalmologist can be a key technology for reducing vision loss related to DR.
Redescription and resolution of some Neotropical species of jumping spiders described by Caporiacco and description of a new species (Araneae: Salticidae)

Type specimens of some of Caporiacco's Neotropical species are revised. The taxonomy of his species from French Guiana, whose type specimens are lost, is considered. The types of Corythalia hadzji Caporiacco, 1947, Corythalia luctuosa Caporiacco 1954, Hypaeus barromachadoi Caporiacco, 1947 and Naubolus melloleitaoi Caporiacco, 1947 are redescribed.The following new synonymies are established: Freya guianensis Caporiacco,1947 = Chira spinipes (Taczanowski, 1871) syn. nov.; Hypaeus bivittatus Caporiacco, 1947 = Hypaeus barromachadoi Caporiacco, 1947 syn. nov. New combinations are:Agelista petrusewiczi Caporiacco,1947 = Noegus petrusewiczi (Caporiacco,1947) comb. nov. . ;Albionella chickeringi Caporiacco, 1954 = Mago chickeringi (Caporiacco,1954) comb. nov.;Asaracus pauciaculeis Caporiacco,1947 = Mago pauciaculeis (Caporiacco, 1947) comb. nov.; Cerionesta leucomystax Caporiacco, 1947 = Sassacus leucomystax (Caporiacco, 1947) comb. nov.; Lapsias guianensis Caporiacco, 1947 = Cobanus guianensis (Caporiacco, 1947) comb. nov.; Phiale modestissima Caporiacco, 1947 = Asaracus modestissimus (Caporiacco, 1947) comb. nov. The species Noegus lodovicoi sp. nov. is also described, based on an ex-syntype of Agelista petrusewiczi. The following nominal species are considered species inquirendae: Albionella guianensis Caporiacco, 1954, Alcmena trifasciata Caporiacco, 1954, Amycus effeminatus Caporiacco, 1954, Capidava variegata Caporiacco, 1954, Corythalia variegata Caporiacco, 1954, Dendryphantes coccineocinctus Caporiacco, 1954, Dendryphantes gertschi Caporiacco, 1947, Dendryphantes spinosissimus Caporiacco, 1954, Ilargus modestus Caporiacco, 1947, Lapsias melanopygus Caporiacco, 1947 = Frigga melanopygus (Caporiacco, 1947) comb. nov., Lurio splendidissimus Caporiacco, 1954, Nagaina modesta Caporiacco, 1954, Amycus patellaris (Caporiacco, 1954), Phidippus triangulifer Caporiacco, 1954 and Tutelina iridea Caporiacco, 1954.
A fiducial approach to nonparametric deconvolution problem: discrete case

Fiducial inference, as generalized by Hannig 2016 et al, is applied to nonparametric g-modeling (Efron, 2016) in the discrete case. We propose a computationally efficient algorithm to sample from the fiducial distribution, and use generated samples to construct point estimates and confidence intervals. We study the theoretical properties of the fiducial distribution and perform extensive simulations in various scenarios. The proposed approach gives rise to surprisingly good statistical performance in terms of the mean squared error of point estimators and coverage of confidence intervals. Furthermore, we apply the proposed fiducial method to estimate the probability of each satellite site being malignant using gastric adenocarcinoma data with 844 patients.
Relationship Between Accumulated Heat Stress Prepartum, Body Condition and Postpartum Performance in Dairy Cattle

Abstract Avendaño-Reyes, L. , Fuquay, J.W. , Moore, R.B. , Liu, Z. , Clark, B.L. and Vierhout, C. 2009. Relationship between accumulated heat stress prepartum, body condition and postpartum performance in dairy cattle. J. Appl. Anim. Res., 35: 33–38. To estimate the relationship between heat stress during the last 60 d prepartum, body condition score and certain productive traits in the subsequent lactation of Holstein cows, 564 multiparous and 290 primiparous cows from four dairy herds in Mississippi state were used. Maximum temperature-humidity index (MTHI) was calculated to quantify the degree of heat stress and was included in multiple regression models. Animals were scored for body condition at dry off, at calving and at 60 d postpartum. In multiparous cows, prepartum MTHI (MPTHI) had a negative effect on milk production at 200 d postpartum. One point of decrease in BCS from calving to 60 d postpartum in multiparous cows was associated with 246 kg more milk during the first 100 d of lactation. One point of increase in BCS from calving to 60 d postpartum was associated with 1.85 kg of less milk at peak of milk production. There was no effect of MPTHI on postpartum production performance in primiparous cows. Heat stress prepartum, considering ambient temperature and relative humidity, reduced milk production.
Comment on "Cosmic Microwave Background Constraints Cast a Shadow On Continuous Spontaneous Localization Models"

In a recent paper [J. Martin and V. Vennin, Phys. Rev. Lett. 124, 080402 (2020)] it was argued that, for most natural choices, the direct application of the continuous spontaneous localization (CSL) theory to the inflationary case, as it is known to work in non-relativistic laboratory situations, is ruled out by cosmological observational data, thus casting a shadow on models based on CSL theory. We point out that such results are based on the consideration of a rather narrow set of choices for the application of the theory to the cosmological context and that the landscape of open and different possibilities is extremely vast.
Mathematical Theory of Atomic Norm Denoising in Blind Two-Dimensional Super-Resolution

This paper develops a new mathematical framework for denoising in blind two-dimensional (2D) super-resolution upon using the atomic norm. The framework denoises a signal that consists of a weighted sum of an unknown number of time-delayed and frequency-shifted unknown waveforms from its noisy measurements. Moreover, the framework also provides an approach for estimating the unknown parameters in the signal. We prove that when the number of the observed samples satisfies certain lower bound that is a function of the system parameters, we can estimate the noise-free signal, with very high accuracy, upon solving a regularized least-squares atomic norm minimization problem. We derive the theoretical mean-squared error of the estimator, and we show that it depends on the noise variance, the number of unknown waveforms, the number of samples, and the dimension of the low-dimensional space where the unknown waveforms lie. Finally, we verify the theoretical findings of the paper by using extensive simulation experiments.
BRITE-Constellation photometry of π5 Orionis, an ellipsoidal SPB variable

Results of an analysis of the BRITE-Constellation photometry of the SB1 system and ellipsoidal variable π5 Ori (B2 III) are presented. In addition to the orbital light-variation, which can be represented as a five-term Fourier cosine series with the frequencies forb, 2forb, 3forb, 4forb, and 6forb, where forb is the system’s orbital frequency, the star shows five low-amplitude but highly significant sinusoidal variations with frequencies fi (i = 2, ., 5, 7) in the range from 0.16 to 0.92 d−1. With an accuracy better than 1σ, the latter frequencies obey the following relations: f2 − f4 = 2forb, f7 − f3 = 2forb, f5 = f3 − f4 = f7 − f2. We interpret the first two relations as evidence that two high-order ℓ = 1, m = 0 gravity modes are self-excited in the system’s tidally distorted primary component. The star is thus an ellipsoidal SPB variable. The last relations arise from the existence of the first-order differential combination term between the two modes. Fundamental parameters, derived from photometric data in the literature and the Hipparcos parallax, indicate that the primary component is close to the terminal stages of its main-sequence (MS) evolution. Extensive Wilson–Devinney modelling leads to the conclusion that best fits of the theoretical to observed light curves are obtained for the effective temperature and mass consistent with the primary’s position in the HR diagram and suggests that the secondary is in an early MS evolutionary stage.
Sketchy Empirical Natural Gradient Methods for Deep Learning

In this paper, we develop an efficient sketchy empirical natural gradient method for large-scale finite-sum optimization problems from deep learning. The empirical Fisher information matrix is usually low-rank since the sampling is only practical on a small amount of data at each iteration. Although the corresponding natural gradient direction lies in a small subspace, both the computational cost and memory requirement are still not tractable due to the curse of dimensionality. We design randomized techniques for different neural network structures to resolve these challenges. For layers with a reasonable dimension, a sketching can be performed on a regularized least squares subproblem. Otherwise, since the gradient is a vectorization of the product between two matrices, we apply sketching on low-rank approximation of these matrices to compute the most expensive parts. Global convergence to stationary point is established under some mild assumptions. Numerical results on deep convolution networks illustrate that our method is quite competitive to the state-of-the-art methods such as SGD and KFAC.
Genetic diversity in field and commercial populations of Orius strigicollis (Poppius) (Heteroptera: Anthocoridae) measured by microsatellite markers

Six microsatellite markers were developed for Orius strigicollis (Poppius), and their characteristics were analyzed using seven field and two commercial populations. The markers showed enough polymorphism to be suitable to elucidate genetic diversity, although null alleles were found on two loci and three loci were sex-linked. No linkage disequilibrium was detected except for a pair of two sex-linked loci. Allele frequencies between sexes in each population were not different in field populations. No genetic differentiation was found among populations collected in southern Kyushu, suggesting that this species has a large gene pool in the field. Allelic richness was significantly smaller in commercial populations than in field ones, possibly due to bottleneck effects and genetic drifts during mass-production procedures.
Towards 3D Dance Motion Synthesis and Control

3D human dance motion is a cooperative and elegant social movement. Unlike regular simple locomotion, it is challenging to synthesize artistic dance motions due to the irregularity, kinematic complexity and diversity. It requires the synthesized dance is realistic, diverse and controllable. In this paper, we propose a novel generative motion model based on temporal convolution and LSTM,TC-LSTM, to synthesize realistic and diverse dance motion. We introduce a unique control signal, dance melody line, to heighten controllability. Hence, our model, and its switch for control signals, promote a variety of applications: random dance synthesis, music-to-dance, user control, and more. Our experiments demonstrate that our model can synthesize artistic dance motion in various dance types. Compared with existing methods, our method achieved start-of-the-art results.