Miracle-dz/UniFAR-FTUs huggingface dataset:
Adaptation and validity of the Trait Meta-Mood scale for Brazilian adolescents

The current study aimed to present the process of adaption and validity evidence of the Trait Meta-Mood Scale (TMMS-24) for the population of Brazilian school adolescents. The study included 4,681 students aged 10 to 19 years old, attending public schools in 12 cities in the state of Rio Grande do Sul, Brazil. According to the original scale, the exploratory and confirmatory factorial analyses indicated adequate fit indexes and satisfactory reliability for the model composed of 24 items and three factors (attention, clarity, and repair). The scale showed a significant positive correlation with life satisfaction and psychological well-being. The results reveal that the TMMS-24 is adequate for the assessment of emotional intelligence among Brazilian adolescents and may contribute to research and interventions regarding emotional competencies among this population.
Transcription factor E2F8 is a therapeutic target in the basal-like subtype of breast cancer

Introduction Tumorigenesis in breast cancers usually accompanied by the dysregulation of transcription factors (TFs). Abnormal amplification of TFs leads aberrant expression of its downstream target genes. However, breast cancers are heterogeneous disease with different subtypes that have distinguished clinical behaviours, and the identification of prognostic TFs may enable to provide diagnosis and treatment of breast cancer based on subtypes, especially in Basal-like breast cancer. Methods The RNA-sequencing was performed to screen differential TFs in breast cancer subtypes. The GEPIA dataset analysis was used to analyze the genes expression in invasive breast carcinoma. The expression of MYBL2, HOXC13, and E2F8 was verified by qRT-PCR assay in breast cancers. The depiction analysis of co-expressed proteins was revealed using the STRING datasets. The cellular infiltration level analysis by the TISIDB and TIMER databases. The transwell assay was performed to analyze cellular migration and invasion. CCK-8 assay was used to evaluate cellular drug susceptibility for docetaxel treatment. Predicted targeted drugs in breast cancers by GSCA Lite database online. Results Kaplan-Meier plotter suggested that high expression of both E2F8 and MYBL2 in Basal-like subtype had a poor relapse-free survival. Functional enrichment results identified that apoptosis, cell cycle, and hormone ER pathway were represented the crucial regulation pathways by both E2F8 and MYBL2. In the meantime, database analysis indicated that high expression of E2F8 responded to chemotherapy, while those patients of high expression of MYBL2 responded to endocrinotherapy, and a positive correlation between the expression of E2F8 and PD-L1/CTLA4. Our cell line experiments confirmed the importance of E2F8 and MYBL2 in proliferation and chemotherapy sensitivity, possibly, the relationship with PD-L1. Additionally, we also observed that the up-regulation of E2F8 was accompanied with higher enrichments of CD4+ T cells and CD8+ T cells in breast cancers. Conclusion Taken together, our findings elucidated a prospective target in Basal-like breast cancer, providing underlying molecular biomarkers for the development of breast cancer treatment.
Improving the best linear unbiased estimator for the scale parameter of symmetric distributions by using the absolute value of ranked set samples

Ranked set sampling is a cost efficient sampling technique when actually measuring sampling units is difficult but ranking them is relatively easy. For a family of symmetric location-scale distributions with known location parameter, we consider a best linear unbiased estimator for the scale parameter. Instead of using original ranked set samples, we propose to use the absolute deviations of the ranked set samples from the location parameter. We demonstrate that this new estimator has smaller variance than the best linear unbiased estimator using original ranked set samples. Optimal allocation in the absolute value of ranked set samples is also discussed for the estimation of the scale parameter when the location parameter is known. Finally, we perform some sensitivity analyses for this new estimator when the location parameter is unknown but estimated using ranked set samples and when the ranking of sampling units is imperfect.
Fuzzy extreme learning machine for classification

Compared to traditional classifiers, such as SVM, the extreme learning machine (ELM) achieves similar performance for classification and runs at a much faster learning speed. However, in many real applications, the different input points may not be exactly assigned to one of the classes, such as the imbalance problems and the weighted classification problems. The traditional ELM lacks the ability to solve those problems. Proposed is a fuzzy ELM, which introduces a fuzzy membership to the traditional ELM method. Then, the inputs with different fuzzy matrix can make different contributions to the learning of the output weights. For the weighted classification problems, FELM can provide a more logical result than that of ELM.
THE BIOCIDE ACTION OF METABOLITES OF STREPTOMYCES GLOBISPORUS 3-1 AND STREPTOMYCES CYANOGENUS S136 STRAINS

Research of the biocide action of streptomycete-antagonist metabolites on the causative agent of bacterial canker of tomato and on the host-plant fertility is the actual question. Aim. To determine the action of metabolites of Streptomyces globisporus 3-1 and Streptomyces cyanogenus S136 on the phytopathogen Clavibacter michiganensis 102 in vitro and on seed germination, growth and yield of tomatoes in vivo. Methods. Microbiological methods in laboratory conditions and descriptive-comparative analysis of growth and development of tomatoes in hothouse conditions were used. Results. S. globisporus 3-1 and S. cyanogenus S136 metabolites inhibited the growth of the phytopathogen C. michiganensis 102 with the formation of clean zones 45 and 35 mm in vitro, respectively. Pre-sowing treatment with metabolites of S. globisporus 3-1 and S. cyanogenus S136 of tomatoes Lana seeds reduced germination by 27% for both and led to defects in leaf shape and plant sterility, respectively. Treatment by metabolites of both Streptomyces strains of phytopathogen infected seeds did not improve germination, growth, and yield compared to grown plants from infected seeds, though it were visually not defective, sterile and with signs of bacterial canker of tomato. Conclusion. It was found that metabolites of S. globisporus 3-1 and S. cyanogenus S136 had a biocide action on the phytopathogen C. michiganensis 102 in vitro and on Lana tomatoes in hothouse conditions.
Large sample tests of statistical hypotheses concerning several parameters with applications to problems of estimation

If the probability differential of a set of stochastic variates contains k unknown parameters, the statistical hypotheses concerning them may be simple or composite. The hypothesis leading to a complete specification of the values of the k parameters is called a simple hypothesis, and the one leading to a collection of admissible sets a composite hypothesis. In this paper we shall be concerned with the testing of these two types of hypotheses on the basis of a large number of observations from any probability distribution satisfying some mild restrictions and their use in problems of estimation.
A virtual reality interface for pre-planning of surgical operations based on a customized model of the patient

We present a human-computer interface that enables the operator to plan a surgical procedure on the musculoskeletal (MS) model of the patient's lower limbs, send the modified model to the bio-mechanical analysis module, and export the scenario parameters to the surgical navigation system. The interface provides the operator with tools for: importing customized MS model of the patient, cutting bones and manipulating/removal of bony fragments, repositioning muscle insertion points, muscle removal and placing implants. After planning the operator exports the modified MS model for bio-mechanical analysis of the functional outcome. If the simulation result is satisfactory the exported scenario data may be directly used during the actual surgery. The advantages of the developed interface are the possibility of installing it in various hardware configurations and coherent operation regardless of the devices used. The hardware configurations proposed to be used with the interface are: (a) a standard computer keyboard and mouse, and a 2-D display, (b) a touch screen as a single device for both input and output, or (c) a 3-D display and a haptic device for natural manipulation of 3-D objects. The interface may be utilized in two main fields. Experienced surgeons may use it to simulate their intervention plans and prepare input data for a surgical navigation system while student or novice surgeons can use it for simulating results of their hypothetical procedure. The interface has been developed in the TLEMsafe project (www.tlemsafe.eu) funded by the European Commission FP7 program.
A Comparison of Cloud Formation Rates in the Gravitational Instability and Random Collisional Buildup Models

The cloud collision time scale and the overall cloud formation time scale in the random collisional buildup model of molecular cloud formation are compared to the cloud formation time scale in the gravitational instability model. Observed values of the molecular cloud space density, gravitationally enhanced collision cross section, and velocity dispersion are used. Because the column density of a virialized cloud is proportional to the square root of the ambient pressure, the collision rate for molecular clouds depends only on the square root of the average interstellar density and is independent of velocity dispersion. This density dependence is the same for gravitational instabilities, so the ratio of cloud formation rates in the two models is independent of density and velocity dispersion. Two Monte Carlo simulations for random collisions are discussed. The results suggest that gravitational instabilities generally form large clouds faster than random collisions by a factor of about three. 35 refs.
CONVERGENCE OF A FINITE ELEMENT DISCRETIZATION FOR AN ARBITRARY LAGRANGIAN EULERIAN FORMULATION OF A FLUID-STRUCTURE INTERACTION PROBLEM

In this paper, we propose a numerical scheme to compute the motion of a two-dimensional rigid body in a viscous fluid, modeled by the Navier-Stokes equations. Our method combines a finite element approximations and the use of the method of characteristics to solve an Arbitrary Lagrangian Eulerian formulation of the problem. We derive error estimates for this scheme which imply its con- vergence.
A NOVEL FAST NEAR-FIELD ELECTROMAGNETIC IMAGING METHOD FOR FULL ROTATION PROBLEM

A fast method for electromagnetic imaging from monos- tatic full rotational near-fleld scattering is proposed in this paper. It is based on circular spectrum theory which exploits the Fourier decom- position of the targets distribution instead of point by point imaging in earlier works. The novelty of the proposed method is that it sim- plifles the relationship between the spatial frequency domain and the scattering fleld. The near-fleld scattering is analyzed by expanding the distance to Taylor series at the centre of the targets zone. The near- fleld focus function is then transformed to spatial frequency domain and evaluated by the method of stationary phase. The imaging result is given by two-dimensional inverse Fourier transformation from spa- tial frequency domain of targets. The proposed method is validated by comparing the simulation results of distributed targets with the tomo- graphic imaging. The dynamic range of imaging result is derived by distributed targets with difierent re∞ection coe-cient. Furthermore, the experiment is also conducted in microwave chamber at Ku band with target placed on the turntable.
Phylogenetic trees via Hamming distance decomposition tests

The paper considers the problem of phylogenetic tree construction. Our approach to the problem bases itself on a non-parametric paradigm seeking a model-free construction and symmetry on Types I and II errors. Trees are constructed through sequential tests using Hamming distance dissimilarity measures, from internal nodes to the tips. The method presents some novelties. The first, which is an advantage over the traditional methods, is that it is very fast, computationally efficient and feasible to be used for very large data sets. Two other novelties are its capacity to deal directly with multiple sequences per group (and built its statistical properties upon this richer information) and that the best tree will not have a predetermined number of tips, that is, the resulting number of tips will be statistically meaningful. We apply the method in two data sets of DNA sequences, illustrating that it can perform quite well even on very unbalanced designs. Computational complexities are also addressed. Supplemental materials are available online.
Nonlinear gyrokinetic theory with polarization drift

A set of the electrostatic toroidal gyrokinetic Vlasov equation and the Poisson equation, which explicitly includes the polarization drift, is derived systematically by using Lie-transform perturbation method. The polarization drift is introduced in the gyrocenter equations of motion, and the corresponding polarization density is derived. Contrary to the widespread expectation, the inclusion of the polarization drift in the gyrocenter equations of motion does not affect the expression for the polarization density significantly. This is due to modification of the gyrocenter phase-space volume caused by the electrostatic potential [T. S. Hahm, Phys. Plasmas 3, 4658 (1996)].
Second generation wavelets based GIS terrain data compression using Delaunay triangulation

Purpose – In GIS applications for a realistic representation of a terrain a great number of triangles are needed that ultimately increases the data size. For online GIS interactive programs it has become highly essential to reduce the number of triangles in order to save more storing space. Therefore, there is need to visualize terrains at different levels of detail, for example, a region of high interest should be in higher resolution than a region of low or no interest. Wavelet technology provides an efficient approach to achieve this. Using this technology, one can decompose a terrain data into hierarchy. On the other hand, the reduction of the number of triangles in subsequent levels should not be too small; otherwise leading to poor representation of terrain.Design/methodology/approach – This paper proposes a new computational code (please see Appendix for the flow chart and pseudo code) for triangulated irregular network (TIN) using Delaunay triangulation methods. The algorithms have proved to be ef.
Rapid Annealing in n‐Type Silicon Following Pulsed 10 MeV Electron Irradiation

The forward voltage Vf across a p+‐n silicon diode, biased at constant current, was used to monitor the rapid annealing of damage introduced by a 5‐μsec pulse of 10 MeV electrons. Silicon diodes (1N648) were irradiated at various temperatures from 90° to over 350°K. The large increase in Vf observed immediately after the irradiation pulse recovered partially to its preirradiation value in times varying from a few milliseconds at 300°K to a few hundred milliseconds at 100°K. The ratio of the change in Vf at 100 μsec after the irradiation pulse to the change after recovery had been completed varied from approximately three at 300°K to nearly seven at 100°K. The large degree of recovery indicates that defect annihilation is most likely responsible for the recovery process. The recovery kinetics of the rapid annealing are closely described by Waite's theory of diffusion‐controlled annealing involving recombination of correlated and uncorrelated defects. Particularly for temperatures above 170°K, the initial s.
The latitudinal transport of energetic particles associated with corotating interaction regions

We investigate the effect of large-scale magnetic turbulence in the solar wind on the transport of ∼ 1-10-MeV protons associated with corotating interaction regions (CIRs). We develop a quantitative model of the heliospheric magnetic field which is determined by the motions of magnetic foot points near the solar photosphere. The trajectories of many test particles are numerically integrated in this field to examine the variation of the particle distribution function with latitude. The foot points of the magnetic field lines, which extend radially from the source surface, execute a random walk in latitude and longitude. We find that the resulting long-wavelength magnetic fluctuations lead to significant latitudinal field line diffusion which simultaneously leads to significant latitudinal transport of CIR-associated energetic particles. The results from our model are qualitatively consistent with recent Ulysses observations of recurrent energetic particle intensity enhancements at high heliographic latitudes.
PRODUCTION OF HYPERTONICURINE IN THE ABSENCE OF PITUITARY ANTIDIURETIC HORMONE 1 BY

The mechanism by which pituitary antidiuretic hormone (ADH) produces its renal effect has not been clearly established. Under ordinary conditions, in the absence of ADH, urine of a concentration considerably below that of plasma is produced in large volume. With increasing amounts of ADH, administered or secreted, the osmotic pressure of the urine rises to and above that of plasma. With respect to total water balance, the quantitatively more important contribution to water economy is the change between maximally dilute and isotonic urine, since this, in normal man, may involve a change in water excretion in excess of 10 ml. per minute. The further saving of water effected by the elaboration of hypertonic urine is a relatively small one, amounting, at usual rates of solute excretion, to not more than an additional 1 or 2 ml. per minute. Thus, although it is commonly stated that the function of ADH is to cause the excretion of a hypertonic urine, its more important function might be better defined as preventing the excretion of a dilute urine. Recent studies of the effects of posterior pituitary extracts on frog skin have shown that these preparations markedly reduce the resistance of this membrane to the flow of water in response to gradients of osmotic pressure (1). Observations on frog bladder also suggest this mechanism of action (2). It would seem reasonable to examine the extent to which a similar mechanism of action could explain the effects of ADHon the concentration of the urine. Since the change from dilute to isotonic urine is clearly in the direction of the dissipation of an osmotic gradient, this effect of ADHcould well be attributed to a change in the
Novel method of virtual embryogenesis for structuring Artificial Neural Network controllers

The organization of an Artificial Neural Network (ANN; e.g. the organization in layers, the number of cells per layer and the degree of connectivity between the cells) has a big influence on its abilities (e.g. learning ability). In this article, we present a novel method to organize the nodes and links of an ANN in a biologically motivated manner using virtual embryogenesis (VE). The VE mimics processes observable in biology, like interaction of cells via chemical substances or tissue differentiation. In our system, a virtual embryo consists of individual cells controlled by a genome. These cells can develop to nodes in the ANN during the embryogenetic process. The embryo is implemented as a spatially and temporally discrete multi-agent model. The cells in our model interact with each other via virtual physics and virtual chemistry. With the work at hand, we show that patterns developing in VE are comparable to patterns found during natural embryogenesis. We plan to combine VE with Evolutionary Algorithms to optimize the genome of the embryo. We expect the described model of VE (in combination with Evolutionary Algorithms) to lead to novel, evolutionary shaped net structures of ANNs.
Temperature Compensation of a Strain Sensing Signal from a Fiber Optic Brillouin Optical Time Domain Analysis Sensor

In order to do continuous health monitoring of large structures, it is necessary that the distributed sensing of strain and temperature of the structures be measured. So, we present the temperature compensation of a signal from a fiber optic BOTDA (Brillouin Optical Time Domain Analysis) sensor. A fiber optic BOTDA sensor has good performance of strain measurement. However, the signal of a fiber optic BOTDA sensor is influenced by strain and temperature. Therefore, we applied an optical fiber on the beam as follows: one part of the fiber, which is sensitive to the strain and the temperature, is bonded on the surface of the beam and another part of the fiber, which is only sensitive to the temperature, is located nearby the strain sensing fiber. Therefore, the strains can be determined from the strain sensing fiber while compensating for the temperature from the temperature sensing fiber. These measured strains were compared with the strains from electrical strain gages. After temperature compensation, it was concluded that the strains from the fiber optic BOTDA sensor had good coincidence with those values of the conventional electrical strain gages.
The radiation pattern of an antenna from near-field correlation measurements

A new method is proposed for evaluating the radiation characteristics of a test planar-aperture antenna from its near-field behavior. The technique is based on calculating the Fourier transform of the autocorrelation function describing the measured output of a probe located in the near field of the test antenna. The method is established in practice with the aid of experimental results using horn, horn-reflector, and paraboloidal antennas. It is shown that the method is relatively simple and leads to a significant improvement in the accuracy of the gain and radiation pattern of antennas when compared with present methods.
A Brief Review of Fuzzy Soft Classification and Assessment of Accuracy Methods for Identification of Single Land Cover

Identification/classfication of a specific/single class through the traditional classification scheme is not an easy task. In this study, several fuzzy set theory based soft classification methods have been studied to classify a specific class present in the remote sensing imagery. Further, the methods capable for the assessment of the accuracy of these classifiers have also been reviewed. Among the various fuzzy set theory based methods, the Possibilistic c-Means (PCM), Noise Clustering (NC ) and Noise Clustering with Entropy (NCE) have been found suitable for identification specific class. Amongst the various accuracy assessment methods only the error matrix, entropy and Receiver Operating Characteristic (ROC) are capable to assess the accuracy of the soft classified outputs from the aforementioned classifier.
Radio-source structure in astrometric and geodetic very long baseline interferometry

An algorithm to calculate source structure corrections for bandwidth synthesis delays and delay rates is used to refer the position of extragalacitc radio sources to a specific feature of each source's morphology. The delay and delay rate are obtained from VBLI observations. The algorithm and its theoretical basis are described, and simulations for a simple two-component source are discussed. VLBI data for the complex radio source NRAO 140 are analyzed. For this source, structure corrections are calculated with maps from three different VLBI imaging techniques: the hybrid-CLEAN algorithm, the maximum entropy method, and model fitting. The calculated structure corrections are compared with brightness distributions to the actual data. The results are used to map NRAO 140. It is found that the CLEAN map produces the most accurate structure corrections. 27 refs.