APRENDIZAGEM ORGANIZACIONAL A PARTIR DAS PRÁTICAS DE EDUCAÇÃO A DISTÂNCIA DA ESCOLA DE ADMINISTRAÇÃO/UFRGS

Studies on Learning and Distance Education are found in various forms of publication. However, the articulation between these areas is still an open field for debates. To enhance this discussion, the purpose of this study is to analysis the way that has been occurred the organizational learning in the EA/UFRGS, after the experiences of the courses in distance in the period of 2005 to 2010. We used a qualitative case study method to analyze these four on-line courses at UFRGS. Data were obtained through participant observation and documentation and analyzed through the use of qualitative interpretive analysis technique. Information was collected through participant observation and was analyzed thru a qualitative interpretative technique. Findings showed that a series of practices and roles were set and changed much more as a result of trial and error process than as a result of coordinated and planned actions done by the on-line staff group. We inferred that UFRGS online course management practices that were adopted resulted in organizational learning. However, an integrated discussion and routine evaluation between the managers of the four analyzed courses could bring more benefits to the Business School, reducing the administrative and teaching subjectivity.Estudios sobre aprendizaje y Educación a Distancia (EAD) son encontrados en diversos medios de publicación. Sin embargo, la articulación entre estas dos temáticas aún se encuentra como un campo abierto a nuevos debates. Para contribuir con esta discusión, el objetivo de esa investigación es analizar el modo como ocurrió el proceso de aprendizaje organizacional en la EA/UFRGS, a partir de las experiencias de los cursos de EAD por ella ofrecidos en los años de 2005 a 2010. Para eso, utilizamos un método cualitativo, analizando la gestión de cuatro cursos de EAD de la EA/UFRGS. Los datos fueron obtenidos a través de documentos y de la observación participante y fueron analizados a través de la técnica cualitativa de análisis interpretativa. Los resultados demuestran que una serie de prácticas y papeles fueron establecidos y alterados más por medio de un proceso de tentativa y error y no resultado de acciones coordenadas, planeadas y formalizadas por miembros de las equipes de EAD. De esa manera, concluimos que las prácticas reflejadas, mantenidas y/o alteradas adoptadas en la gestión de los cursos de EAD de la EA/UFRGS resultaron en aprendizaje organizacional. Sin embargo, la acción integrada de debate y evaluación de las rutinas entre los gestores de los cuatro cursos analizados, podría traer más beneficios a la institución. Lo que podría también reducir la subjetividad de las acciones administrativas y pedagógicas.Estudos sobre aprendizagem e Educação a Distância (EAD) são encontrados em diversos meios de publicação. Entretanto, a articulação entre estas duas temáticas ainda se encontra como um campo aberto a novos debates. Para contribuir com esta discussão, o objetivo desse estudo é analisar o modo como ocorreu o processo de aprendizagem organizacional na EA/UFRGS, a partir das experiências dos cursos de EAD por ela ofertados no período de 2005 a 2010. Para isso, utilizamos um método qualitativo estudo de caso, analisando a gestão de quatro cursos de EAD da EA/UFRGS. Os dados foram obtidos através de documentos e da observação participante e foram analisados através do emprego da técnica qualitativa da análise interpretativa. Os resultados demonstram que uma série de práticas e papéis foram estabelecidas e alteradas mais através de um processo de tentativa e erro, do que fruto de ações coordenadas, planejadas e formalizadas pelos membros das equipes de EAD. Concluímos, que as práticas refletidas, mantidas e/ou alteradas adotadas na gestão dos cursos de EAD da EA/UFRGS resultaram em aprendizagem organizacional. Porém, a ação integrada de debate e avaliação das rotinas entre os gestores dos quatro cursos analisados, poderia trazer mais benefícios à instituição. O que poderia também reduzir a subjetividade das ações administrativas e pedagógicas

Alert Diagnostic System: SDA

Currently, there is a trend in reduction of the number of industrial plant operators. The challenges are mainly during emergency situations: how to support operator time management without increasing operational risks? SDA focuses on this area and aims to increase operator situational awareness (ability to perceive, understand and predict the future behavior of a process) through new technological paradigms, such as Expert System and Ecological Human Machine Interface (HMI) in order to provide operational support, maintenance and optimization of refining, exploration and system of production of oil and gas plants. In SDA, the most critical alerts are shown by priority, along with decision trees, trend charts and variable comparison charts. SDA aims to assist control room operators in solving a critical problem in the oil industry, that is the loss of safety function, associated with alarms, during alarm flood. The SDA results of the SDA are presented through its implementation in Sulfur Recovery Units—URE, in the state of Rio de Janeiro, in Brazil

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context

Long noncoding RNAs (lncRNAs) are commonly dys-regulated in tumors, but only a handful are known toplay pathophysiological roles in cancer. We inferredlncRNAs that dysregulate cancer pathways, onco-genes, and tumor suppressors (cancer genes) bymodeling their effects on the activity of transcriptionfactors, RNA-binding proteins, and microRNAs in5,185 TCGA tumors and 1,019 ENCODE assays.Our predictions included hundreds of candidateonco- and tumor-suppressor lncRNAs (cancerlncRNAs) whose somatic alterations account for thedysregulation of dozens of cancer genes and path-ways in each of 14 tumor contexts. To demonstrateproof of concept, we showed that perturbations tar-geting OIP5-AS1 (an inferred tumor suppressor) andTUG1 and WT1-AS (inferred onco-lncRNAs) dysre-gulated cancer genes and altered proliferation ofbreast and gynecologic cancer cells. Our analysis in-dicates that, although most lncRNAs are dysregu-lated in a tumor-specific manner, some, includingOIP5-AS1, TUG1, NEAT1, MEG3, and TSIX, synergis-tically dysregulate cancer pathways in multiple tumorcontexts

Pan-cancer Alterations of the MYC Oncogene and Its Proximal Network across the Cancer Genome Atlas

Although theMYConcogene has been implicated incancer, a systematic assessment of alterations ofMYC, related transcription factors, and co-regulatoryproteins, forming the proximal MYC network (PMN),across human cancers is lacking. Using computa-tional approaches, we define genomic and proteo-mic features associated with MYC and the PMNacross the 33 cancers of The Cancer Genome Atlas.Pan-cancer, 28% of all samples had at least one ofthe MYC paralogs amplified. In contrast, the MYCantagonists MGA and MNT were the most frequentlymutated or deleted members, proposing a roleas tumor suppressors.MYCalterations were mutu-ally exclusive withPIK3CA,PTEN,APC,orBRAFalterations, suggesting that MYC is a distinct onco-genic driver. Expression analysis revealed MYC-associated pathways in tumor subtypes, such asimmune response and growth factor signaling; chro-matin, translation, and DNA replication/repair wereconserved pan-cancer. This analysis reveals insightsinto MYC biology and is a reference for biomarkersand therapeutics for cancers with alterations ofMYC or the PMN

Genomic, Pathway Network, and Immunologic Features Distinguishing Squamous Carcinomas

This integrated, multiplatform PanCancer Atlas study co-mapped and identified distinguishing molecular features of squamous cell carcinomas (SCCs) from five sites associated with smokin

Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images

Beyond sample curation and basic pathologic characterization, the digitized H&E-stained images of TCGA samples remain underutilized. To highlight this resource, we present mappings of tumorinfiltrating lymphocytes (TILs) based on H&E images from 13 TCGA tumor types. These TIL maps are derived through computational staining using a convolutional neural network trained to classify patches of images. Affinity propagation revealed local spatial structure in TIL patterns and correlation with overall survival. TIL map structural patterns were grouped using standard histopathological parameters. These patterns are enriched in particular T cell subpopulations derived from molecular measures. TIL densities and spatial structure were differentially enriched among tumor types, immune subtypes, and tumor molecular subtypes, implying that spatial infiltrate state could reflect particular tumor cell aberration states. Obtaining spatial lymphocytic patterns linked to the rich genomic characterization of TCGA samples demonstrates one use for the TCGA image archives with insights into the tumor-immune microenvironment