UNDERGRADUATE BRAZILIAN FRESHMEN: COMPUTER LITERACY FACTORS, DIMENSIONS AND VISIONS

Brazilian society has experienced an increase of computing devices used by the population in general. Anyhow, individuals might be technologically unprepared to deal with them, particularly at in-developing countries. At the Information System education, this technological gap might affect undergraduate freshmen students’ performance. Thus, the goal of this study was to identify the most relevant computer literacy dimensions and factors required from freshmen. The research method was a combination of two techniques, Systematic Literature Review followed by a Delphi technique. We found 24 factors that are most relevant to the Brazilian context regarding freshmen students learning goals. They were classified according to: i) seven different dimensions and ii) four different visions: teachers, industry managers, researchers, and a blend of these three visions

Um Estudo Exploratório sobre a Alfabetização Computacional em São Paulo / Alternative Title: An Exploratory Study on Computer Literacy in São Paulo

Ao longo do tempo, tem-se presenciado o aumento da disseminação dos dispositivos computacionais na sociedade. Entretanto, pesquisas recentes evidenciam situações de indivíduos munidos de dispositivos de TI, mas despreparados tecnologicamente. Dado este contexto, evidencia-se que há uma aprendizagem mínima necessária sobre aspectos computacionais, os quais atribui-se o termo Alfabetização Computacional (AC). O objetivo deste estudo exploratório é avaliar a relevância dos aspectos da AC na formação da base de conhecimentos dos jovens brasileiros. Este trabalho caracteriza-se por ser uma pesquisa exploratória que utiliza a técnica de entrevistas em profundidade para captar percepções de três instituições brasileiras relacionadas ao tema de estudo. A pesquisa confirma a relevância dos conhecimentos e habilidades da AC relatados na literatura e identifica os aspectos mais importantes para cada uma das instituições entrevistadas. 

Systematic Review on Computer Literacy

This systematic review aims to consolidate the understanding of the term Computer Literacy , which corresponds to the classification of the first stage of learning skills and knowledge about the aspects of information and communication technology (ICT). In addition to this concept, the study also aims to assess the range of knowledge and skills related to computer literacy. This review was based on ACM and ERIC research bases, comprising the period of the last 10 years, and adding some extra articles that were deemed relevant. The conclusion indicates that Computer Literacy has a dynamic nature – exhibiting evolution over time – and an inherent need to upgrade constantly in order to keep up with information and communication technology’s evolutionary curve

Implant Abutment Cleaning by Plasma of Argon: 5â Year Followâ Up of a Randomized Controlled Trial

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/142177/1/jper0434.pd

POMP: Pomcp-based Online Motion Planning for active visual search in indoor environments

In this paper we focus on the problem of learning an optimal policy for Active Visual Search (AVS) of objects in known indoor environments with an online setup. Our POMP method uses as input the current pose of an agent (e.g. a robot) and a RGB-D frame. The task is to plan the next move that brings the agent closer to the target object. We model this problem as a Partially Observable Markov Decision Process solved by a Monte-Carlo planning approach. This allows us to make decisions on the next moves by iterating over the known scenario at hand, exploring the environment and searching for the object at the same time. Differently from the current state of the art in Reinforcement Learning, POMP does not require extensive and expensive (in time and computation) labelled data so being very agile in solving AVS in small and medium real scenarios. We only require the information of the floormap of the environment, an information usually available or that can be easily extracted from an a priori single exploration run. We validate our method on the publicly available AVD benchmark, achieving an average success rate of 0.76 with an average path length of 17.1, performing close to the state of the art but without any training needed. Additionally, we show experimentally the robustness of our method when the quality of the object detection goes from ideal to faulty

POMP++: Pomcp-based Active Visual Search in unknown indoor environments

In this paper we focus on the problem of learning online an optimal policy for Active Visual Search (AVS) of objects in unknown indoor environments. We propose POMP++, a planning strategy that introduces a novel formulation on top of the classic Partially Observable Monte Carlo Planning (POMCP) framework, to allow training-free online policy learning in unknown environments. We present a new belief reinvigoration strategy which allows to use POMCP with a dynamically growing state space to address the online generation of the floor map. We evaluate our method on two public benchmark datasets, AVD that is acquired by real robotic platforms and Habitat ObjectNav that is rendered from real 3D scene scans, achieving the best success rate with an improvement of >10% over the state-of-the-art methods

Multiple antiferromagnetic phases and magnetic anisotropy in exfoliated CrBr3_3 multilayers

In twisted two-dimensional (2D) magnets, the stacking dependence of the magnetic exchange interaction can lead to regions of ferromagnetic and antiferromagnetic interlayer order, separated by non-collinear, skyrmion-like spin textures. Recent experimental searches for these textures have focused on CrI$_3$, known to exhibit either ferromagnetic or antiferromagnetic interlayer order, depending on layer stacking. However, the very strong uniaxial anisotropy of CrI$_3$ disfavors smooth non-collinear phases in twisted bilayers. Here, we report the experimental observation of three distinct magnetic phases -- one ferromagnetic and two antiferromagnetic -- in exfoliated CrBr$_3$ multilayers, and reveal that the uniaxial anisotropy is significantly smaller than in CrI$_3$. These results are obtained by magnetoconductance measurements on CrBr$_3$ tunnel barriers and Raman spectroscopy, in conjunction with density functional theory calculations, which enable us to identify the stackings responsible for the different interlayer magnetic couplings. The detection of all locally stable magnetic states predicted to exist in CrBr$_3$ and the excellent agreement found between theory and experiments, provide complete information on the stacking-dependent interlayer exchange energy and establish twisted bilayer CrBr$_3$ as an ideal system to deterministically create non-collinear magnetic phases

The Emerging Challenge of Pain in Systemic Sclerosis: Similarity to the Pain Experience Reported by Sjőgren's Syndrome Patients

: In order to evaluate the importance of pain in systemic sclerosis (SSc), the characteristics of pain reported by patients with SSc were analyzed and compared with the characteristics of pain reported by patients with primary Sjőgren's syndrome (pSS). Pain was reported by 56 patients (80%) in a group of 70 patients with SSc and by 25 patients (78%) in a group of 32 patients with pSS. Pain severity was assessed by the Pain Rating Index (PRI) and the Present Pain Intensity (PPI) of the McGill Pain Questionnaire (MPQ) and by values obtained by a visual analog scale (VAS) indicating the intensity of pain felt in the moment of the examination and the intensity of pain felt in the week preceding the moment of the examination. No significant difference was detected in the comparison of mean values of pain indices between patients with SSc and patients with pSS and in the comparison among subgroups of patients with SSc. The data indicate that pain is a frequent and important cause of suffering in SSc as in other chronic diseases. The association of different methods may be especially useful to obtain a careful evaluation of pain in clinical research