O ENGAJAMENTO DOS COLABORADORES DE UMA COOPERATIVA DE CRÉDITO

O tema engajamento tem se tornado relevante para o atingimento dos objetivos organizacionais por meio da melhoraria do desempenho dos colaboradores frente às tarefas diárias, além de manter um clima agradável entre as equipes. Contudo, também tem sido um grande desafio promover e manter o engajamento dos profissionais com as organizações. O objetivo consiste em analisar o ponto de vista dos colaboradores sobre o engajamento em uma cooperativa de crédito com abrangência de atuação nas regiões do Vale do Sinos e Serra Gaúcha, no Rio Grande do Sul. A pesquisa classifica-se em descritiva, levantamento, quantitativa. Os dados foram coletados por meio da aplicação de um questionário aos 596 colaboradores da organização, e obteve-se o retorno de 101 respondentes no prazo determinado de coleta. Ainda, foram consultados documentos internos da cooperativa. Os principais resultados apontam que os colaboradores sentem orgulho em trabalhar na cooperativa, estão satisfeitos e consideram um ótimo lugar para trabalhar, e indicariam a empresa para um amigo trabalhar. Ainda, verificou-se que a maioria dos respondentes assinalaram a opção na qual se identificam com o propósito e valores organizacionais da cooperativa. Entretanto, os respondentes apontaram que o processo de comunicação e a prática de feedback necessitam de melhorias para estimular ainda mais o engajamento

Proposição de um modelo teórico de Inovação Social para Inclusão de Imigrantes Senegaleses no Mercado de Trabalho Proposition of a theoretical model of social innovation for inclusion of Senegalese immigrants in the labor market

Este estudo trata-se de um ensaio teórico que visa desenvolver um framework para compreender o processo de inovação social a partir da articulação de diferentes atores para inclusão do imigrante senegalês no mercado de trabalho. Os senegaleses buscam oportunidades de trabalho e melhores condições de vida, este movimento ocorre devido à falta de condições básicas, já que no Senegal aproximadamente 50% da população vive na linha da extrema pobreza. Contudo, o Brasil está inserido em um contexto complexo, ocupando a 9ª posição no ranking de desigualdade social, com uma taxa de desemprego de aproximadamente 12,4%. Associado a isso, os senegaleses enfrentam condições de moradias inadequadas, dificuldades com a linguagem e resistência da população que os vê como uma ameaça ao seu trabalho. Para lidar com essa crise, vários atores são mobilizados para encontrar maneiras de apoiar e integrar os imigrantes no mercado de trabalho. Destaca-se a riqueza dessa interação como uma oportunidade de inovação social. Este artigo conceitual contribui para a literatura sobre como a inovação social emerge através da articulação de diferentes atores para incluir o imigrante senegalês no mercado de trabalho

Brainhack: a collaborative workshop for the open neuroscience community

International audienceBrainhack events offer a novel workshop format with participant-generated content that caters to the rapidly growing open neuroscience community. Including components from hackathons and unconferences, as well as parallel educational sessions, Brainhack fosters novel collaborations around the interests of its attendees. Here we provide an overview of its structure, past events, and example projects. Additionally, we outline current innovations such as regional events and post-conference publications. Through introducing Brainhack to the wider neuroscience community, we hope to provide a unique conference format that promotes the features of collaborative, open science

Feature selection for neuroimaging applied to word-category identification in dyslexic children

Submitted by Setor de Tratamento da Informa??o - BC/PUCRS ([email protected]) on 2015-08-10T20:11:34Z No. of bitstreams: 1 473233 - Texto Completo.pdf: 3157211 bytes, checksum: 46d1f58d384ad33725fbb29ba8257582 (MD5)Made available in DSpace on 2015-08-10T20:11:34Z (GMT). No. of bitstreams: 1 473233 - Texto Completo.pdf: 3157211 bytes, checksum: 46d1f58d384ad33725fbb29ba8257582 (MD5) Previous issue date: 2015-02-26Dyslexia is a developmental reading disorder characterized by persistent difficulty to learn how to read fluently despite normal cognitive abilities. It is a complex learning difficulty that is often hard to quantify. Traditional methods based on questionnaires are not only imprecise in quantifying dyslexia, they are also not very accurate in diagnosing it. Consequently, we aim to investigate the neural underpinnings of this reading disorder in children and teenagers, as part of a project that aims to unravel some of the neurological causes of dyslexia among children at preliteracy age. In this dissertation, we develop a study of brain activation within functional MRI scans taken when children carried out pseudo-word tasks. Our study expands recently developed machine learning-based techniques that identify which type of word the study participants were reading based solely on participant?s brain activation. Because such functional MRI data contains about 30,000 voxels, we try several feature selection techniques for removing voxels that are not very helpful for the machine learning algorithm.This procedure is widely used for maximizing the machine learning algorithm accuracy, and some of these feature selection approaches allowed us to achieve very accurate results.Dislexia ? um transtorno de aprendizagem de leitura caracterizado pela dificuldade persistente de uma crian?a a aprender a ler fluentemente, mesmo apresentando outras habilidades cognitivas normais. A dislexia ? uma dificuldade de aprendizado complexo e dif?cil de diagnosticar. M?todos de diagnostico tradicionais, como question?rios, n?o s?o somente imprecisos em quantificar a dislexia, como tamb?m tamb?m n?o s?o precisos no diagn?stico. Consequentemente, n?s visamos investigar a base neural deste transtorno de leitura em crian?as e adolescentes, como parte de um projeto que tem como objetivo desvendar algumas das causas neurol?gicas da dislexia entre crian?as em alfabetiza??o. Nesta disserta??o, desenvolvemos um estudo da ativa??o do c?rebro com o uso de exames de imagem de resson?ncia magn?tica (IRM) funcional coletados enquanto as crian?as realizavam uma tarefa de pseudo-palavras. Este estudo amplia t?cnicas de aprendizado de m?quina recentemente desenvolvidas que identificam que tipo de palavra os participantes de um estudo estavam lendo, baseado somente em sua atividade neural. Como dados de IRM funcional contem aproximadamente 30.000 voxels, neste trabalho experimentamos com algumas t?cnicas de sele??o de features para remover voxels que n?o s?o relevantes para o algoritmo de aprendizado de m?quina. Esse procedimento ? amplamente utilizado para maximizar a acur?cia do algoritmo, e algumas abordagens de feature selection permitem atingir resultados muito precisos

Mind the gap: results of a multispecialty survey on coordination of care for peri-procedural anticoagulation.

To understand how physicians from various specialties perceive coordination of care when managing peri-procedural anticoagulation. Cross-sectional survey of cardiologists, gastroenterologists, and primary care physicians (PCPs) in an integrated health system (N = 251). The survey began with a vignette of a patient with atrial fibrillation co-managed by his PCP, cardiologist, and an anticoagulation clinic who must hold warfarin for a colonoscopy. Respondents\u27 experiences and opinions around responsibilities and institutional support for managing peri-procedural anticoagulation were elicited using multiple choice questions. We examined differences in responses across specialties using Chi square analysis. The response rate was 51% (n = 127). 52% were PCPs, 28% cardiologists, and 21% gastroenterologists. Nearly half (47.2%) of respondents believed that the cardiologist should be primarily responsible for managing peri-procedural anticoagulation, while fewer identified the PCP (25.2%), anticoagulation clinic (21.3%), or gastroenterologist (6.3%; p = 0.09). Respondents across specialties had significantly different approaches to deciding how to manage the clinical case presented (p \u3c 0.001). Most cardiologists (60.0%) would decide whether to offer bridging without consulting with other providers or clinical resources, while most PCPs would decide after consulting clinical resources (57.6%). Gastroenterologists would most often (46.2%) defer the decision to another provider. A majority of all three specialties agreed that their institution could do more to help manage peri-procedural anticoagulation, and there was broad support (88.1%) for anticoagulation clinics\u27 managing all aspects of peri-procedural anticoagulation. Providers across specialties agree that their institution could do more to help manage peri-procedural anticoagulation, and overwhelmingly support anticoagulation clinics\u27 taking responsibility

FCP-INDI/C-PAC: C-PAC Version 1.8.6 Beta

<p><strong>New Features</strong></p> <ul> <li>C-PAC can now ingress<a href="https://www2.childmind.org/e/908232/en-stable-/3mvpmy/2326103788/h/_5fpbWs4zmSoHM8JlOMzlLaQ62nt_LTCkOtj1s5TL_E"> fMRIPrep</a> output data.<ul> <li>Users can now perform further processing on fMRIPrep-processed data through C-PAC, using any template-space processing they wish to employ. This includes using the nuisance confounds generated by fMRIPrep to perform nuisance denoising on the preprocessed BOLD data.</li> <li>A fMRIPrep-ingress pre-configured pipeline configuration (pre-config) has been created to make it easy to get started. This pre-config can be modified to suit a user's specific processing needs.</li> <li>This is part of a wider project leading to the ability to easily ingress any BIDS-format output directory.</li> </ul> </li> </ul> <p><strong>Improvements</strong></p> <p>-The motion parameter and motion derivative outputs have been converted to BIDS-compliant formats.</p> <ul> <li>A tip box has been added to appear when C-PAC returns with a "missing outputs" error.</li> <li>The data configuration builder tool can now easily add<a href="https://www2.childmind.org/e/908232/2023-12-21/3mvpn2/2326103788/h/_5fpbWs4zmSoHM8JlOMzlLaQ62nt_LTCkOtj1s5TL_E"> FreeSurfer</a> output directories for the purpose of ingressing FreeSurfer data into your C-PAC pipeline.</li> <li>A large number of C-PAC's dependencies has been upgraded to more recent versions, including<ul> <li>Ubuntu (18.04 'Bionic Beaver' → 22.04 'Jammy Jellyfish')</li> <li>Python (3.7.13 → 3.10.6)</li> <li>AFNI (21.1.00 'Domitian' → 23.3.09 'Septimius Severus')</li> <li>ANTs (2.3.3 'Leptomyrmex' → 2.4.3 'Emplastus')</li> <li>FSL (5.0.9 → 6.0.6.5)</li> <li>Nipype (1.5.1 → 1.8.6)</li> </ul> </li> <li>Please refer to <a href="https://github.com/FCP-INDI/C-PAC/blob/v1.8.6/CHANGELOG.md#upgraded-dependencies">the "Upgraded dependencies" section of the changelog for 1.8.6</a> or <a href="https://fcp-indi.github.io/docs/latest/user/release_notes/v1.8.6">the release notes in the user guide</a> for a full list of these upgrades.</li> <li>torch, a large dependency that is used by U-Net and nothing else in C-PAC, has been removed from the pre-installed dependencies in the C-PAC image and is now installed in the container at runtime if U-Net is selected in the configuration being run.</li> </ul> <p><strong>Bug Fixes</strong></p> <ul> <li>When motion parameters are filtered, C-PAC now uses the filtered version of the motion parameters downstream - for example, in nuisance regression/denoising.</li> <li>Fixed a bug where some connectivity matrices wouldn't generate if anatomical and functional outputs were in different resolutions.</li> <li>Repaired the handling of <code>3dECM</code> (network centrality) outputs for AFNI ≥ 21.1.1.</li> <li>Fixed a bug (introduced in v1.8.0) where sparsity thresholds were not being scaled for network centrality.</li> <li>Fixed a bug where <code>calculate_motion_first</code> would not calculate motion at all.</li> <li>Fixed an error message that was reporting missing resources in pipeline nodeblocks, but was referring to the incorrect nodeblock in question.</li> </ul&gt