CONTINUING EDUCATION OF PHYSICAL EDUCATION TEACHERS IN INCLUSIVE EDUCATIONAL CONTEXT

To think about disability, also consists in going back to the Adapted Physical Education’s history. The Adapted Physical Education officially arose at Universities through the 3/87 Resolution of the Education Federal Council, and was considered a milestone for professional qualification in the field, in Brazil. In this sense, we aim to identity the access that Sports teachers have to Adapted Physical Education continuing education through academic curriculum analyses. Our results showed that the knowledge of lack of professional qualification is highly associated with the fact that teachers resort very little to continuing education opportunities.  Article visualizations

Perfil da aptidão física relacionada à saúde e ao desempenho motor de crianças e adolescentes brasileiros: uma revisão sistemática

Since 1994, the Projeto Esporte Brasil (PROESP-Br) battery tests has been used to evaluate healthand skill-related physical fitness among aged 6-17 Brazilian schoolchildren. The aim of this study was to delineate the Brazilian children and youth’s physical fitness profile from a systematic review over studies that used the PROESP-Br proposal. The search was carried at PubMed, ScienceDirect, Lilacs, SciELO and Google Scholar. Original studies published between 1994 and 2017 about physical fitness (health and/or motor performance) with schoolchildren (children and/or adolescents) that used the PROESP-Br battery test were included. A total of 13.582 participants were evaluated to health-related fitness and 276 to skill-related fitness from 18 included studies. The methodological quality was evaluated using the Newcastle-Ottawa quality assessment scale adapted version. The results show that 27-30% of youngsters are at health “risk zone” for Body Mass Index (BMI), 70% for cardiorespiratory fitness (CRF), 50% and 65% for flexibility (FLEX) and muscular strength (MST), respectively. The data concerning skill-related fitness were inconsistent. In summary, the results suggest that Brazilian children and adolescents have low cardiovascular health level (BMI/ CRF), mainly regarding CRF, and low muscle health level (FLEX/MST). We emphasize that the lack of studies regarding skill-related fitness, make it impossible to describe the profile of the components of this construct.O Projeto Esporte Brasil (PROESP-Br) propõe, desde 1994, uma bateria de medidas e testes para avaliação de escolares entre seis e 17 anos com o objetivo de delinear o perfil de crianças e jovens brasileiros no que se refere a aptidão física relacionada à saúde e ao desempenho motor. O objetivo deste estudo foi delinear o perfil da aptidão física de crianças e jovens brasileiros a partir de uma revisão sistemática da literatura sobre artigos que utilizaram da proposta do PROESP-Br. A busca foi realizada na PubMed, ScienceDirect, Lilacs, SciELO e Google Acadêmico. Estudos originais publicados entre 1994 e 2017 acerca da aptidão física (saúde e/ou desempenho motor) de escolares (crianças e/ou adolescentes) que utilizaram a bateria de testes do PROESP-Br foram incluídos. Um total de 13.582 sujeitos foram avaliados quanto a saúde e 276 quanto ao desempenho motor nos 18 estudos incluídos. A qualidade metodológica foi avaliada uma versão adaptada da Newcastle-Ottawa quality assessment scale. Os resultados evidenciam que 27-30% dos jovens estão na “zona de risco” à saúde para o Índice de Massa Corporal (IMC), 70% para a aptidão cardiorrespiratória (ApC) e 50 e 65% para flexibilidade e força muscular localizada (FML), respectivamente. Os dados sobre o desempenho motor são inconsistentes nesta revisão de literatura. Em síntese, os resultados indicam baixos níveis de saúde cardiovascular (IMC/ApC), principalmente quanto à ApC, assim como baixos níveis de saúde musculoesquelética (flexibilidade/FML) dos jovens. Ressalta-se a escassez de estudos quanto ao desempenho motor impossibilitando delinear o perfil dos componentes deste construto

In-memory eigenvector computation in time O(1)

In-memory computing with crosspoint resistive memory arrays has gained enormous attention to accelerate the matrix-vector multiplication in the computation of data-centric applications. By combining a crosspoint array and feedback amplifiers, it is possible to compute matrix eigenvectors in one step without algorithmic iterations. In this work, time complexity of the eigenvector computation is investigated, based on the feedback analysis of the crosspoint circuit. The results show that the computing time of the circuit is determined by the mismatch degree of the eigenvalues implemented in the circuit, which controls the rising speed of output voltages. For a dataset of random matrices, the time for computing the dominant eigenvector in the circuit is constant for various matrix sizes, namely the time complexity is O(1). The O(1) time complexity is also supported by simulations of PageRank of real-world datasets. This work paves the way for fast, energy-efficient accelerators for eigenvector computation in a wide range of practical applications.Comment: Accepted by Adv. Intell. Sys

Time complexity of in-memory solution of linear systems

In-memory computing with crosspoint resistive memory arrays has been shown to accelerate data-centric computations such as the training and inference of deep neural networks, thanks to the high parallelism endowed by physical rules in the electrical circuits. By connecting crosspoint arrays with negative feedback amplifiers, it is possible to solve linear algebraic problems such as linear systems and matrix eigenvectors in just one step. Based on the theory of feedback circuits, we study the dynamics of the solution of linear systems within a memory array, showing that the time complexity of the solution is free of any direct dependence on the problem size N, rather it is governed by the minimal eigenvalue of an associated matrix of the coefficient matrix. We show that, when the linear system is modeled by a covariance matrix, the time complexity is O(logN) or O(1). In the case of sparse positive-definite linear systems, the time complexity is solely determined by the minimal eigenvalue of the coefficient matrix. These results demonstrate the high speed of the circuit for solving linear systems in a wide range of applications, thus supporting in-memory computing as a strong candidate for future big data and machine learning accelerators.Comment: Accepted by IEEE Trans. Electron Devices. The authors thank Scott Aaronson for helpful discussion about time complexit

Memristive neural network for on-line learning and tracking with brain-inspired spike timing dependent plasticity

Brain-inspired computation can revolutionize information technology by introducing machines capable of recognizing patterns (images, speech, video) and interacting with the external world in a cognitive, humanlike way. Achieving this goal requires first to gain a detailed understanding of the brain operation, and second to identify a scalable microelectronic technology capable of reproducing some of the inherent functions of the human brain, such as the high synaptic connectivity (~104) and the peculiar time-dependent synaptic plasticity. Here we demonstrate unsupervised learning and tracking in a spiking neural network with memristive synapses, where synaptic weights are updated via brain-inspired spike timing dependent plasticity (STDP). The synaptic conductance is updated by the local time-dependent superposition of pre-and post-synaptic spikes within a hybrid one-transistor/one-resistor (1T1R) memristive synapse. Only 2 synaptic states, namely the low resistance state (LRS) and the high resistance state (HRS), are sufficient to learn and recognize patterns. Unsupervised learning of a static pattern and tracking of a dynamic pattern of up to 4 Ã\u97 4 pixels are demonstrated, paving the way for intelligent hardware technology with up-scaled memristive neural networks

Learning of spatiotemporal patterns in a spiking neural network with resistive switching synapses

The human brain is a complex integrated spatiotemporal system, where space (which neuron fires) and time (when a neuron fires) both carry information to be processed by cognitive functions. To parallel the energy efficiency and computing functionality of the brain, methodologies operating over both the space and time domains are thus essential. Implementing spatiotemporal functions within nanoscale devices capable of synaptic plasticity would contribute a significant step toward constructing a large-scale neuromorphic system that emulates the computing and energy performances of the human brain. We present a neuromorphic approach to brain-like spatiotemporal computing using resistive switching synapses. To process the spatiotemporal spike pattern, time-coded spikes are reshaped into exponentially decaying signals that are fed to a McCulloch-Pitts neuron. Recognition of spike sequences is demonstrated after supervised training of a multiple-neuron network with resistive switching synapses. Finally, we show that, due to the sensitivity to precise spike timing, the spatiotemporal neural network is able to mimic the sound azimuth detection of the human brain

A Comprehensive Mapping of the Druggable Cavities within the SARS-CoV-2 Therapeutically Relevant Proteins by Combining Pocket and Docking Searches as Implemented in Pockets 2.0

(1) Background: Virtual screening studies on the therapeutically relevant proteins of the severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2) require a detailed characterization of their druggable binding sites, and, more generally, a convenient pocket mapping represents a key step for structure-based in silico studies; (2) Methods: Along with a careful literature search on SARS-CoV-2 protein targets, the study presents a novel strategy for pocket mapping based on the combination of pocket (as performed by the well-known FPocket tool) and docking searches (as performed by PLANTS or AutoDock/Vina engines); such an approach is implemented by the Pockets 2.0 plug-in for the VEGA ZZ suite of programs; (3) Results: The literature analysis allowed the identification of 16 promising binding cavities within the SARS-CoV-2 proteins and the here proposed approach was able to recognize them showing performances clearly better than those reached by the sole pocket detection; and (4) Conclusions: Even though the presented strategy should require more extended validations, this proved successful in precisely characterizing a set of SARS-CoV-2 druggable binding pockets including both orthosteric and allosteric sites, which are clearly amenable for virtual screening campaigns and drug repurposing studies. All results generated by the study and the Pockets 2.0 plug-in are available for download

Stochastic Learning in Neuromorphic Hardware via Spike Timing Dependent Plasticity with RRAM Synapses

Hardware processors for neuromorphic computing are gaining significant interest as they offer the possibility of real in-memory computing, thus by-passing the limitations of speed and energy consumption of the von Neumann architecture. One of the major limitations of current neuromorphic technology is the lack of bio-realistic and scalable devices to improve the current design of artificial synapses and neurons. To overcome these limitations, the emerging technology of resistive switching memory has attracted wide interest as a nano-scaled synaptic element. This paper describes the implementation of a perceptron-like neuromorphic hardware capable of spike-timing dependent plasticity (STDP), and its operation under stochastic learning conditions. The learning algorithm of a single or multiple patterns, consisting of either static or dynamic visual input data, is described. The impact of noise is studied with respect to learning efficiency (false fire, true fire) and learning time. Finally, the impact of stochastic learning rule, such as the inversion of the time dependence of potentiation and depression in STDP, is considered. Overall, the work provides a proof of concept for unsupervised learning by STDP in memristive networks, providing insight into the dynamics of stochastic learning and supporting the understanding and design of neuromorphic networks with emerging memory devices

Physical education: disabled students' perceptions

The inclusion of disabled students is based on the law and the adaptation of physical and pedagogical structure at school represents a key point in order to make the access happen. Physical education is a part of the social inclusion and can provide great improvements in quality of life of students with disabilities. This research aimed to verify the perception of the student with disabilities on physical education classes. Therefore, a qualitative research was carried out, using a semi structured interview to collect data. The interviews were recorded, transcribed and analyzed. The sample was constituted by 20 students with disabilities enrolled in general schools at Santos Dumont, Minas Gerais. From the interviews, we highlighted the perceptions of students with disabilities on physical education at school; their understanding about the concept of quality of life; the improvements provided in the quality of life through physical education; successes and difficulties in class; and issues concerning the relationship student/ teacher and student/student. The results of this research can help the educational community and the physical education teacher to improve the quality of inclusion in general schools. In addition, perceptions of students with disabilities about the lessons can help the teacher in the search for a better environment with classes that meet everyone's needs and provide a better of quality of life.a inclusão de alunos com deficiência é prevista em lei e manter boas estruturas físicas e pedagógicas na escola é um ponto fundamental para que o acesso possa acontecer. A Educação Física faz parte desta inclusão e pode proporcionar grandes melhoras na qualidade de vida de alunos com deficiência. Este estudo teve como objetivo compreender as percepções do aluno com deficiência a respeito das aulas de Educação Física. Para isso foi realizada uma pesquisa de natureza qualitativa utilizando para coleta de dados uma entrevista semiestruturada a qual foi gravada, transcrita e posteriormente analisada. A amostra foi constituída de 20 alunos com deficiência matriculados em escolas regulares da cidade de Santos Dumont - MG. A partir das entrevistas, destacou-se a percepção do aluno com deficiência a respeito da Educação Física escolar; o entendimento deles quanto ao conceito de qualidade de vida; as melhoras proporcionadas na qualidade de vida através da Educação Física; as facilidades e as dificuldades nas aulas; e as questões concernentes à relação aluno/professor e aluno/aluno. Os resultados dessa pesquisa podem auxiliar a comunidade escolar e o professor de Educação Física a melhorarem a inclusão nas escolas regulares. Além disso, as percepções dos alunos com deficiência sobre as aulas podem ajudar o professor na busca de um ambiente melhor com aulas que atendam a todos e proporcionem uma melhor qualidade de vida

Supplementation with ribonucleotide-based ingredient (Ribodiet®) lessens oxidative stress, brain inflammation, and amyloid pathology in a murine model of Alzheimer

Abstract Alzheimer's disease (AD) is the most common type of dementia worldwide, characterized by the deposition of neurofibrillary tangles and amyloid-β (Aβ) peptides in the brain. Additionally, increasing evidence demonstrates that a neuroinflammatory state and oxidative stress, iron-dependent, play a crucial role in the onset and disease progression. Besides conventional therapies, the use of natural-based products represents a future medical option for AD treatment and/or prevention. We, therefore, evaluated the effects of a ribonucleotides-based ingredient (Ribodiet®) in a non-genetic mouse model of AD. To this aim, mice were injected intracerebroventricularly (i.c.v.) with Aβ1–42 peptide (3 µg/3 μl) and after with Ribodiet® (0.1–10 mg/mouse) orally (p.o.) 3 times weekly for 21 days following the induction of experimental AD. The mnemonic and cognitive decline was then evaluated, and, successively, we have assessed ex vivo the modulation of different cyto-chemokines on mice brain homogenates. Finally, the level of GFAP, S100β, and iron-related metabolic proteins were monitored as markers of reactive gliosis, neuro-inflammation, and oxidative stress. Results indicate that Ribodiet® lessens oxidative stress, brain inflammation, and amyloid pathology via modulation of iron-related metabolic proteins paving the way for its rationale use for the treatment of AD and other age-related diseases