16 research outputs found

    Towards Answering Climate Questionnaires from Unstructured Climate Reports

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    The topic of Climate Change (CC) has received limited attention in NLP despite its urgency. Activists and policymakers need NLP tools to effectively process the vast and rapidly growing unstructured textual climate reports into structured form. To tackle this challenge we introduce two new large-scale climate questionnaire datasets and use their existing structure to train self-supervised models. We conduct experiments to show that these models can learn to generalize to climate disclosures of different organizations types than seen during training. We then use these models to help align texts from unstructured climate documents to the semi-structured questionnaires in a human pilot study. Finally, to support further NLP research in the climate domain we introduce a benchmark of existing climate text classification datasets to better evaluate and compare existing models

    Clipping de 21/03/2018

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    Clipping de 21/03/2018: A crise civilizatória / Jéferson Dantas / Professor / Doutor em Educação / Oportunidade / Cheesecake Labs / Aplicativos / Startups / Expectativa / UFSC / Sistemas de Informação / Estudantes / Comissão de Transportes / Alesc / Palestra / Ônibus elétrico / Mutirão de avaliação das funções visuais em bebês será realizado no Arroio / Profissionais formados / Graduandos / Fisioterapia / Balneário Arroio do Silva / Programa de Pós-Graduação em Ciências da Reabilitação / Secretaria de Saúde / Fisioterapeuta e Mestranda / Giovana Pascoali Rodovanski / Terapias alternativas / Exercício físico supervisionado / Funções visuais / Bebês / Marcelo Câmara / Polifarmáci

    Fabrication of Unique Chemical Patterns and Concentration Gradients with Visible Light

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    A modular and general method based on a photomediated ATRA reaction for the spatially controlled functionalization of surfaces with visible light is reported. The ability to control reactivity with light intensity combined with the orthogonality of ATRA chemistry allows well-defined chemically differentiated monolayers and complex nonlinear chemical concentration gradients to be easily prepared. Use of light to mediate these reactions permits spatial regulation and the generation of unique, multifunctional chemical gradients

    A spray-drying strategy for synthesis of nanoscale metal-organic frameworks and their assembly into hollow superstructures

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    Metal-organic frameworks (MOFs) are among the most attractive porous materials known today. Their miniaturization to the nanoscale-into nanoMOFs-is expected to serve myriad applications from drug delivery to membranes, to open up novel avenues to more traditional storage and catalysis applications, and to enable the creation of sophisticated superstructures. Here, we report the use of spray-drying as a versatile methodology to assemble nanoMOFs, yielding spherical hollow superstructures with diameters smaller than 5 μm. This strategy conceptually mimics the emulsions used by chemists to confine the synthesis of materials, but does not require secondary immiscible solvents or surfactants. We demonstrate that the resulting spherical, hollow superstructures can be processed into stable colloids, whose disassembly by sonication affords discrete, homogeneous nanoMOFs. This spray-drying strategy enables the construction of multicomponent MOF superstructures, and the encapsulation of guest species within these superstructures. We anticipate that this will provide new routes to capsules, reactors and composite materials. © 2013 Macmillan Publishers Limited. All rights reserved.I.I. and M.C.S. thank MICINN and ICN for a Ramón y Cajal grant and a research contract, respectively. A.C. thanks the Generalitat de Catalunya for a FI fellowship.Peer Reviewe
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