Miracle-dz/UniFAR-FTUs huggingface dataset:
Planejamento multiobjetivo de redes WLAN utilizando algoritmos genéticos

Este trabalho propoe uma ferramenta de planejamento de redes locais sem fio ( wireless local area networks ou WLAN) baseada em um algoritmo genetico multiobjetivo e heuristicas gulosas. A abordagem proposta consiste em duas etapas: projeto da estrutura da rede e alocacao de canais. Na primeira fase, a quantidade, posicionamento e balanceamento de carga dos pontos de acesso (AP) sao abordados de acordo com criterios de cobertura desejada, demanda de trafego e capacidade de largura de banda dos AP. Na segunda etapa, o canal de cada AP e atribuido com o intuito de reduzir a interferencia entre os pontos de acesso e aumentar a vazao (do ingles throughput) da rede. Para avaliar a eficiencia e robustez do algoritmo desenvolvido, foram realizados testes em quatro cenarios possiveis, na qual e considerada a mobilidade dos usuarios e variacoes no perfil de acesso. Os resultados demonstram que a ferramenta desenvolvida e util para definir a quantidade e o posicionamento de pontos de acesso, alem de sugerir um esquema de alocacao de canais eficiente para as redes WLAN. Adicionalmente, o algoritmo genetico (AG) desenvolvido emprega um mecanismo para balancear a carga dos pontos de acesso, de modo a aumentar o throughput geral da rede. Assim, o algoritmo proposto fornece uma aproximacao do conjunto de solucoes eficientes, resultando em reducao nos custos de implementacao do projeto, aumento de desempenho e melhor qualidade de servico.
Deep Learning for Super-Resolution in a Field Emission Scanning Electron Microscope

A field emission scanning electron microscope (FESEM) is a complex scanning electron microscope with ultra-high-resolution image scanning, instant printing, and output storage capabilities. FESEMs have been widely used in fields such as materials science, biology, and medical science. However, owing to the balance between resolution and field of view (FOV), when locating a target using an FESEM, it is difficult to view specific details in an image with a large FOV and high resolution simultaneously. This paper presents a deep neural network to realize super-resolution of an FESEM image. This technology can effectively improve the resolution of the acquired image without changing the physical structure of the FESEM, thus resolving the constraint problem between the resolution and FOV. Experimental results show that the apply of a deep neural network only requires a single image acquired by an FESEM to be the input. A higher resolution image with a large FOV and excellent noise reduction is obtained within a short period of time. To verify the effect of the model numerically, we evaluated the image quality by using the peak signal-to-noise ratio value and structural similarity index value, which can reach 26.88 dB and 0.7740, respectively. We believe that this technology will improve the quality of FESEM imaging and be of significance in various application fields.
Novel image restoration method based on multi-frame super-resolution for atmospherically distorted images

In this study, the authors propose a novel multi-frame super-resolution method using frame selection and multiple fusions for atmospherically distorted, zoomed-in, image-quality enhancement. When a small part of the image captured by placing a target several kilometres away from the fixed camera is enlarged, the quality of the part becomes poor owing to low resolution, spatial deformations and noise that are mainly caused by long distance and atmospheric turbulence. Thus, the authors propose an adaptive frame selection method that selects only a few frames with small blur based on the corresponding images with relatively clear edges. Further, they propose multiple fusion schemes to reconstruct the selected frames, thereby suppressing the influence of deformation. By converting all the frames into high-resolution based on each frame and integrating them, deformation and noise are effectively removed without high computation cost using the multiple fusion scheme. The proposed method, which enhances the quality of atmospherically distorted zoomed-in images, exhibits superior performance than the state-of-the-art image super-resolution methods with regard to high accuracy, efficiency and ease of implementation, ensuring that the proposed method is suitable for enhancing the quality of an image captured using a general digital camera or a smartphone.
Eigenvalues of the Laplace-Beltrami operator under the homogeneous Neumann condition on a large zonal domain in the unit sphere

We consider the eigenvalues of the Laplace-Beltrami operator under the homogeneous Neumann condition on a spherical domain. Especially, we investigate the case when the domain is a large zonal one and letting the zone larger so that the zone covers the whole sphere as a limit. We discuss the behavior of eigenvalues according to the rate of expansion of the zone.
Controllability of a cylindrical shell in a fluid and in an acoustic field

ABSTRACT In this paper, we show that a thin cylindrical shell which is surrounded by an inviscid fluid or an acoustic system is controllable. A cylindrical shell is exactly controllable by a single control at one end. The analysis shows that the same results can be obtained when it is submerged in an ideal fluid or in an acoustic field.
Influência da governança corporativa no custo da dívida de companhias abertas familiares

O estudo verificou a influencia da governanca corporativa no custo da divida de companhias abertas familiares. Para tal, realizou-se pesquisa descritiva, documental e quantitativa em uma amostra de companhias familiares que possuiam dados disponiveis para o periodo de 2012 a 2017. Os dados foram retirados do site da B3, dos Formularios de Referencia e na base de dados da Economatica. Para mensurar o custo da divida, identificou-se a razao entre as despesas financeiras e o passivo oneroso. Para investigar a influencia da governanca foram utilizadas cinco variaveis: a) aderencia ao novo mercado; b) possuir membros independentes no conselho de administracao; c) percentual de membros independentes no conselho; d) maioria de membros independentes no conselho; e) nao dualidade no cargo de CEO e de presidente do conselho. Os resultados evidenciaram que o custo medio da divida se elevou a partir de 2015. Em media, 44% das empresas familiares estao listadas no novo mercado; 59% delas possuem membros independentes nos conselhos; 21% e a media de membros independentes; 16% das empresas possuiam a maioria de membros independentes no conselho e o percentual medio de dualidade dos cargos de CEO e presidente do CA e de 12%. Tambem se constatou que a governanca corporativa nao influencia para uma reducao no custo da divida em empresas familiares. A pesquisa contribui para fortalecer o entendimento do tema no cenario brasileiro e amplia a discussao existente na literatura ao abordar a influencia, no custo da divida, de praticas de governanca ainda nao investigadas.
A Class of Sheffer Sequences of Some Complex Polynomials and Their Degenerate Types

We study some properties of Sheffer sequences for some special polynomials with complex Changhee and Daehee polynomials introducing their complex versions of the polynomials and splitting them into real and imaginary parts using trigonometric polynomial sequences. Moreover, considering their degenerate types of Sheffer sequences based on umbral composition, we present some useful expressions, properties, and examples about complex versions of the degenerate polynomials.
Local sensitivity via the complex-step derivative approximation for 1D Poro-Elastic and Poro-Visco-Elastic models

Poro-elastic systems have been used extensively in modeling fluid flow in porous media in petroleum and earthquake engineering. Nowadays, they are frequently used to model fluid flow through biological tissues, cartilages, and bones. In these biological applications, the fluid-solid mixture problems, which may also incorporate structural viscosity, are considered on bounded domains with appropriate non-homogeneous boundary conditions. The recent work in [ 12 ] provided a theoretical and numerical analysis of nonlinear poro-elastic and poro-viscoelastic models on bounded domains with mixed boundary conditions, focusing on the role of visco-elasticity in the material. Their results show that higher time regularity of the sources is needed to guarantee bounded solution when visco-elasticity is not present. Inspired by their results, we have recently performed local sensitivity analysis on the solutions of these fluid-solid mixture problems with respect to the boundary source of traction associated with the elastic structure [ 3 ]. Our results show that the solution is more sensitive to boundary datum in the purely elastic case than when visco-elasticity is present in the solid matrix. In this article, we further extend this work in order to include local sensitivities of the solution of the coupled system to the boundary conditions imposed on the Darcy velocity. Sensitivity analysis is the first step in identifying important parameters to control or use as control terms in these poro-elastic and poro-visco-elastic models, which is our ultimate goal.
Shot-by-shot stochastic modeling of individual tennis points

Abstract Individual tennis points evolve over time and space, as each of the two opposing players are constantly reacting and positioning themselves in response to strikes of the ball. However, these reactions are diminished into simple tally statistics such as the amount of winners or unforced errors a player has. In this paper, a new way is proposed to evaluate how an individual tennis point is evolving, by measuring how many points a player can expect from each shot, given who struck the shot and where both players are located. This measurement, named “Expected Shot Value” (ESV), derives from stochastically modeling each shot of individual tennis points. The modeling will take place on multiple resolutions, differentiating between the continuous player movement and discrete events such as strikes occurring and duration of shots ending. Multi-resolution stochastic modeling allows for the incorporation of information-rich spatiotemporal player-tracking data, while allowing for computational tractability on large amounts of data. In addition to estimating ESV, this methodology will be able to identify the strengths and weaknesses of specific players, which will have the ability to guide a player’s in-match strategy.
Testing general relativity through the computation of radiative terms and within the neutron star strong-field regime

The recent detection of coalescing black holes by theLaser InterferometerGravitationalwave Observatory has brought forth the era of gravitational wave astronomy. Physicists are only now beginning to probe the mergers of compact objects that send ripples through space and time. These distortions carry with them the information from the system where they originated. The dynamics of black hole collisions and neutron star mergers are new and exciting events which were undetectable just a few years ago. Einstein’s theory of General Relativity has done an excellent job of describing gravity and the information that can be extracted from gravitational systems. However, his theory contains several anomalies such as the inability to explain the inflation of the universe, the effects of dark matter and energy, the presence of singularities, as well as a failure to reconcile with quantum mechanics. Modified theories of gravity have been proposed to answer any remaining questions about gravitation while prescribing solutions to the problems General Relativity still has. The work within this thesis describes how we may study modified theories of gravity in the strong field regime through two different means. The first, is through the calculation of the rate of gravitational radiation from binary systems. This rate varies depending on the theory of gravity being studied. Comparing the theoretical predictions of these rates from alternative theories to astronomical observation will allow us to place better constraints on modified gravity and test General Relativity like never before. The second way is through the investigation of the spacetime surrounding a neutron star. Unlike black holes which emit no light, we are able to see neutron stars (more specifically pulsars) through their light curve as they rotate. The shape of the light curve is dictated by the theory of gravitation used to describe the spacetime around the neutron star. My goal of constructing such a spacetime for neutron stars in modified gravity allows for future scientists to study the light curves to be detected and place constraints on the particular theory.
Almost Independent Binary Random Variables

A collection C of binary n-tuples, C ⊆ {0, 1} n , is considered pairwise independent if for every i and j (1 ≤ i < j ≤ n), Pr c∈C [(c i , c j) = α] = 2 −2 for any α ∈ {0, 1} 2. Likewise, C is considered t-wise independent if the projection onto any t coordinates is uniformly distributed in {0, 1} t as c is chosen uniformly from the sample space C. Notice that for a collection C to be t-wise independent, |C| must greater than 2 t ; for certain applications, this is much too large. The aim of this project is to decrease the size of |C| while still allowing the projection onto any t coordinates to appear uniformly distributed in {0, 1} t. In this paper we explore several concepts of almost t-wise independence. For example, we may require that for every t coordinates i 1 ,. −t ≤ for some given > 0. I will be presenting two definitions for almost t-wise independence. Through coding theory tools, such as Delsarte's linear programing bound and sphere-packing bounds, I will show bounds imposed on the size of C based on those definitions. Through known constructions of almost independent binary random variables, I will then demonstrate how the definitions and bounds I established apply to these pseudo-random collections of binary n-tuples.
Optimisation of linear dependence energy for object co-segmentation in a set of images with heterogeneous contents

This work proposes a framework for simultaneously segmenting foreground objects in a collection of images having heterogeneous contents. Rather than resorting to image co-segmentation to segment similar objects in multiple images, which requires the use of categorised images, the authors’ idea disseminates segmentation information within images. In this way, it becomes easier to detect foreground objects in all of them simultaneously, mainly under the hypothesis of using similar or different images. General information is aggregated, on foregrounds as well as on backgrounds, from a set of images for joint segmentation of category-independent objects. The key idea is to estimate the linear dependence of the foreground histograms of the input images to optimise a Markov random field-based energy function. Iterative optimisation of each image permits after that the enhancement of the final segmentation results. Extensive experiments demonstrate that the proposed method (PM) enables full-object segmentation of foreground objects within a collection of images composed of different classes. Indeed, the validation of the accuracy on five challenging datasets (iCoseg, Oxford Flowers, MicroSoft Research Cambridge (MSRC), Caltech101 and Berkeley) shows that the PM achieves satisfactory results as compared with state-of-the-art methods. Besides, it has the challenging ability to efficiently deal with uncategorised objects.
Artrite reumatoide all’esordio = Early rheumatoid arthritis

SUMMARY Rheumatoid arthritis (RA) is a systemic disease characterized by chronic inflammation of the synovial joints damage and loss of the function. The ultimate goal in managing RA is to prevent joint damage and to maintain functional ability. Consequently, early diagnosis and treatment is important, but predictive markers for RA are still confined to auto-antibodies and also magnetic resonance imaging (MRI) and sonography do not appear to sufficiently distinguish between early RA and non RA. Evidence shows that substantial and irreversible joint damage already occurs within the first 2 years after disease onset. This “window of opportunity” hypothesis for therapeutic intervention in RA is based on the existence of a time frame within which there is a potential for a greater response to therapy, resulting in sustained benefits or, perhaps most important, a chance of cure. There is increasing evidence for beneficial effects of early DMARDs (disease-modifying anti-rheumatic drugs) therapy over delayed treatment in patients who present with arthritis of recent onset. However, no universal consensus exists concerning the choice of initial drug or whether single drug or combination should be given as initial treatments. Most studies demonstrated superiority of aggressive over conventional approaches. Because the tumor necrosis factor (TNF)-α inhibitors have proved to stop joint damage progression in severe progressive RA, the achievement of these agents in early RA are currently of great interest.
Impulsive Delayed Lasota–Wazewska Fractional Models: Global Stability of Integral Manifolds

In this paper we deal with the problems of existence, boundedness and global stability of integral manifolds for impulsive Lasota–Wazewska equations of fractional order with time-varying delays and variable impulsive perturbations. The main results are obtained by employing the fractional Lyapunov method and comparison principle for impulsive fractional differential equations. With this research we generalize and improve some existing results on fractional-order models of cell production systems. These models and applied technique can be used in the investigation of integral manifolds in a wide range of biological and chemical processes.
DIGITALIZAÇÃO TRIDIMENSIONAL DE CAFEEIROS EM CAMPO POR VISÃO ESTÉREO MÚLTIPLA

O registro da arquitetura de uma planta, isto e, a descricao da topologia e da geometria de sua estrutura, e empregado em estudos funcionais-estruturais variados como intercepcao solar, interacoes bioticas e abioticas e dispersao de defensivos, entre outros. Porem, a realizacao desse registro e extremamente laboriosa, especialmente em plantas de maior porte e complexidade como o cafeeiro, o que restringe sua adocao e, consequentemente, o volume de dados disponiveis a tais estudos. Neste trabalho, mostramos que tecnicas de visao computacional podem ser empregadas na construcao de modelos tridimensionais de cafeeiros com o uso de uma unica câmera comum e software adequado. Esses resultados indicam a possibilidade de automacao do registro in silico da estrutura tridimensional de cafeeiros, permitindo um maior volume na obtencao de dados da arquitetura das plantas. Tal metodologia de aquisicao de dados tridimensionais esta ao alcance de qualquer grupo de pesquisa, devido ao baixo custo do equipamento necessario e implementacoes em software livre. Exemplos de reconstrucoes tridimensionais para oito cafeeiros adultos estao disponiveis em uma base de dados publica.
Acute effects of different rest period between sets on neuromuscular bench press performance

Introduction: Manipulation of resistance training variables allows the maintenance the performance of the proposed exercise. Objetctive: To evaluation the acute effects of different rest intervals on maximum repetition performance, perceived exertion, and fatigue index on bench press. Methods: Following ten-repetition maximum testing and retesting, four experimental sessions involved seven bench press sets to concentric failure with the goal of completing the maximum number of repetitions, which included: 1) one-minute rest interval between sets (P1), 2) two-minute rest interval between sets (P2), three-minute rest interval between sets (P3), and five-minute rest interval between sets (P5). Results: A main result was observed in maximum repetition performance for all sets (p0.001). In the fatigue index, only P3 and P5 showed significant differences compared to all other protocols (p0.001). Besides, the perceived exertion shows a similar trend to fatigue index for longer rest intervals. Conclusion: Reducing the maximum repetition performance in shorter intervals is an important tool for reducing the total workout time.
XLII Distribution of Hearing Loss in Various Populations

Our search for valid audiometric data to study the relations of hearing loss to noise exposure has led us into many places. The multi­ plicity of relations predicates a broad coverage of the various popula­ tions involved. The innumerable variables involved require large samples to equate differences that exist within and among the samples as well as within and among the populations from which the samples are taken. Paradoxically the larger the samples are the greater the number of possible variables. Since it is impractical for us to obtain all the data ourselves we must use data obtained by others which still further complicates our problems because:
Review: Evaluation of a multi-modal grounded theory approach to explore patients’ daily coping with breathlessness due to chronic obstructive pulmonary disease

Grounded theorists are well accustomed to the ongoing debate as to whether the incorporation of quantitative data dilutes, or negates naturalistic inquiry, by the overlay of logical positivism, so this paper is of great interest. Jørgensen et al. clearly explain and demonstrate how a multi-modal grounded theory study is conducted. It is made quite clear that irrespective of the fundamental nature of the data (quantitative or qualitative) collected, the analysis is done in accordance with Glaser and Strauss’ founding core tenet of grounded theory (Glaser and Strauss, 1967) in that the study’s emerging theory emanates from the research participants’ initial data on the lived experience of having breathlessness. The quantitative data collection is applied to the underand over-pinning qualitative data in such a way as to jointly elicit further interpretation of the meaning of living with chronic obstructive pulmonary disease (COPD). This inherent dovetail approach is distinguishable from that of mixed methods studies, these being to-date the more common usage of qualitative and quantitative data in a single study. In a mixed methods study, the respective analyses of quantitative and qualitative data are kept separate and key findings are amalgamated as conclusions, whereas in this grounded theory multi-modal study each distinctive phase of inquiry data is automatically related to the previous, and to the next stage of data collection. In highlighting the importance of ethical considerations when research participants use video clips to portray their lived experience, Jørgensen et al. also raise important methodological issues relating to data interpretation and data saturation. How can a researcher be assured that his or her interpretation of the meaning of the video clip and
Characterization of Ultra-Narrow Linewidth Lasers for Phase-Sensitive Coherent Reflectometry Using EOM Facilitated Heterodyning

A new scheme of heterodyning facilitated by electro-optic modulator (EOM) is used to characterize the Allan deviation and phase noise of the beat note generated using different pairs of highly coherent lasers. Use of EOM greatly expands optical frequency difference range between the paired lasers suitable for heterodyning. Experimentally demonstrated that sensitivity of optical time-domain reflectometer is mostly determined by the instantaneous linewidth of the probing laser. Observed laser frequency linear drift for all tested lasers was found to be harmless at 1 kHz probing rate. Demonstrated technique can be used to qualify lasers for phase-sensitive optical distributed sensing applications.