8 research outputs found

    The implementation of SDG12 in and from higher education institutions: universities as laboratories for generating sustainable cities

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    IntroductionIt is known that the world is facing and will face significant sustainability challenges. Sustainable Development Goal 12 (SDG12), responsible consumption and production, is one of the most relevant SDGs for building Sustainable Cities. This study is based on the analysis of the implementation of SDG12 in cities, starting from universities as laboratories or first examples of sustainability.MethodsThe study was carried out through a multilevel scale approach. A systematic review of the literature (global scale) of the last 5 years (2018–2022) was conducted. An analysis of the program and the initiatives of a Higher Education Institution (Tecnologico de Monterrey) is presented (local scale). Finally, a survey was applied to Faculty at this University (micro-scale).ResultsThe systematic review indicated that the main themes or aspects addressed in SDG12 by higher education institutions were sustainable food, supply chains, community, infrastructure, technology, policies, energy consumption, the collaborative economy, smart cities, and curricula. The local scale analysis highlighted the Distrito Tec project, 37 institutional initiatives, and 26 courses directly related to SDG12. The survey showed that 8% of Faculty considered SDG12 the most important of the SDGs and stated that this goal is necessary to reduce environmental impacts. As the most significant impact that Universities can have on SDG12, 52% of the Faculty consider that Universities should become living labs in the transition toward sustainable cities, followed by 36% who think it would be better to implement operational facilities.DiscussionThe diverse contributions of the HEIs at the three scales were classified into six categories: culture, mitigation, adaptation, education, research, and outreach. The study indicates that SDG 12 has been achieved by universities in different ways, which overlaps widely with the performance of other SDGs. Results demonstrate that following a multistakeholder approach, international collaborations between HEIs can foster technology-driven multi-disciplinary research projects to consolidate sustainable cities. Building capacity to accelerate the transition of universities into urban living labs will promote climate action among the students who enroll every year

    Visualizing the molecular sociology at the HeLa cell nuclear periphery

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    The molecular organization of eukaryotic nuclear volumes remains largely unexplored. Here we combined recent developments in cryo-electron tomography (cryo-ET) to produce three-dimensional snapshots of the HeLa cell nuclear periphery. Subtomogram averaging and classification of ribosomes revealed the native structure and organization of the cytoplasmic translation machinery. Analysis of a large dynamic structure-the nuclear pore complex-revealed variations detectable at the level of individual complexes. Cryo-ET was used to visualize previously elusive structures, such as nucleosome chains and the filaments of the nuclear lamina, in situ. Elucidation of the lamina structure provides insight into its contribution to metazoan nuclear stiffness

    A data management infrastructure for the integration of imaging and omics data in life sciences

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    BACKGROUND: As technical developments in omics and biomedical imaging increase the throughput of data generation in life sciences, the need for information systems capable of managing heterogeneous digital assets is increasing. In particular, systems supporting the findability, accessibility, interoperability, and reusability (FAIR) principles of scientific data management. RESULTS: We propose a Service Oriented Architecture approach for integrated management and analysis of multi-omics and biomedical imaging data. Our architecture introduces an image management system into a FAIR-supporting, web-based platform for omics data management. Interoperable metadata models and middleware components implement the required data management operations. The resulting architecture allows for FAIR management of omics and imaging data, facilitating metadata queries from software applications. The applicability of the proposed architecture is demonstrated using two technical proofs of concept and a use case, aimed at molecular plant biology and clinical liver cancer research, which integrate various imaging and omics modalities. CONCLUSIONS: We describe a data management architecture for integrated, FAIR-supporting management of omics and biomedical imaging data, and exemplify its applicability for basic biology research and clinical studies. We anticipate that FAIR data management systems for multi-modal data repositories will play a pivotal role in data-driven research, including studies which leverage advanced machine learning methods, as the joint analysis of omics and imaging data, in conjunction with phenotypic metadata, becomes not only desirable but necessary to derive novel insights into biological processes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-022-04584-3
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