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1,855 results for “Framework”
Supplementary material 2 from: Lymer G, Leliaert F, Mergen P, Pijls S (2023) Pre-Commercial Procurement framework and European funding sources for European Research Infrastructure Consortiums: Insights from the DiSSCo ERIC development. Research Ideas and Outcomes 9: e113294. https://doi.org/10.3897/rio.9.e113294
ANNEXE 1: Additional and non-EU funding sources
SEMANTICS WITHIN THE FRAMEWORK OF THE ANALYTIC LANGUAGE IN TERMS OF PHRASEOLOGY
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Implementation of Artificial Intelligence from The Perspective of Activity Theory to Determine Contradictions in The Sales Process with The Etom Framework
<p><span>This research is a continuation of previous research that discusses the relationship between the Marketing process based on the General Procedure of the Sales or Marketing process with Activity Theory (AT) for the development of Artificial Intelligence (AI). The previous discussion requires a deeper understanding of contradictions in business process frameworks. In this case, the eTOm (enhanced Telecom Operational Map) Business Framework is used, especially in telecommunication companies. Thus, quantitative research will be obtained so that there is the potential for contradictions to arise from the socio-cultural side based on AT.</span></p> <p><span>AT in the design methodology is used on a collaborative scale. The activity system is intended to systematically understand the eTOM business framework, which has been built historically and relates to each other in its design towards the use of AI technology. By using AT as a theoretical framework, it's hoped that it will offer a wealthy holistic know-how of ways humans collaborate, i.e., perform useful collective activities, with the assistance of state-of-the-art tools, in this case, AI, withinside the complicated dynamic surroundings of contemporary-day organizations.</span></p>
TimberTracer: A Comprehensive Framework for the Evaluation of Carbon Sequestration by Forest Management and Substitution of Harvested Wood Products.
<p><strong><em>Background</em></strong></p> <p>Harvested wood products (HWPs) have a pivotal role in climate change mitigation, a recognition solidified in many Nationally Determined Contributions (NDCs) under the Paris Agreement. Integrating HWPs' greenhouse gas (GHG) emissions and removals into accounting requirements relies on typical decision-oriented tools known as wood product models (WPMs). The study introduces the 'TimberTracer' (TT) framework, designed to simulate HWP carbon stock, substitution effects, and emissions from wood decay and bioenergy. </p> <p><strong><em>Results</em></strong></p> <p>Coupled with the 3D-CMCC-FEM forest growth model, <em>TimberTracer </em>was applied to Laricio Pine (<em>Pinus nigra</em> subsp. <em>laricio</em>) in Italy's Bonis watershed, evaluating three forest management practices (clearcut, selective thinning, and shelterwood) and four wood-use scenarios (business as usual, increased recycling rate, extended average lifespan, and a simultaneous increase in both the recycling rate and the average lifespan) over a 140-year planning horizon, to assess the overall carbon balance of HWPs. Furthermore, this study evaluates the consequences of disregarding landfill methane emissions and relying on static substitution factors, assessing their impact on the mitigation potential of various options. This investigation, covering HWPs stock, carbon (C) emissions, and the substitution effect, revealed that selective thinning emerged as the optimal forest management scenario. Additionally, the simultaneous increase in both the recycling rate and the half-life time proved to be the optimal wood-use scenario. Finally, the analysis shows that failing to account for landfill methane emissions and the use of dynamic substitution can significantly overestimate the mitigation potential of various forest management and wood-use options, which underscores the critical importance of a comprehensive accounting in climate mitigation strategies involving HWPs.</p> <p><strong><em>Conclusion</em></strong></p> <p>Our study highlights the critical role of harvested wood products (HWPs) in climate change mitigation, as endorsed by multiple Nationally Determined Contributions (NDCs) under the Paris Agreement. Utilizing the 'TimberTracer' framework coupled with the 3D-CMCC-FEM forest growth model, we identified selective thinning as the optimal forest management practice. Additionally, enhancing recycling rates and extending product lifespans effectively bolstered the carbon balance. Moreover, this study emphasizes the necessity of accounting for landfill methane emissions and dynamic product substitution, as failing to do so may significantly overestimate the mitigation potential of implemented projects. These findings offer actionable insights to optimize forest management strategies and advance climate change mitigation efforts.</p>
Design Principles Guided by DFT Calculations and High-Throughput Frameworks for the Discovery of New Diamond-like Chalcogenide Thermoelectric Materials
<p>Dataset of ShengBTE calculations for In2CuAgSe4 system considered in the article.</p>
PhagoStat a scalable and interpretable end to end framework for efficient quantification of cell phagocytosis in neurodegenerative disease studies
<p>This study presents a comprehensive dataset that captures the phagocytosis process in wild-type and FTD microglial cells, with each acquisition comprising 20 distinct scenes and seven hours of time-lapse video microscopy. The dataset has undergone rigorous validation and data quality correction techniques, ensuring its reliability for further analysis. The dataset includes 36,496 normalized cell and aggregate images, 1,306,131 individual instance masks for cells, 1,553,036 for aggregates, and 36,496 registered aggregates, all generated using the PhagoStat algorithm. The dataset also provides extensive biological features such as area, position, and speed, presented frame-by-frame for in-depth analysis. To enhance its value, 226 manually annotated images containing 6,430 individual cell masks were incorporated, covering different conditions and scenes. In total, the dataset comprises 235,288 files (94GB), offering researchers a valuable resource for investigating various cellular and aggregate properties.</p> <p>By providing this comprehensive dataset, the study aims to facilitate the development and application of novel methodologies in bioinformatics, computational modeling, and cellular biology. This initiative promotes innovation and collaboration among researchers in these interconnected disciplines, ultimately contributing to the understanding of cellular dynamics and the development of novel therapeutic strategies for neurodegenerative diseases like FTD.</p> <p>For more infomration please check:</p> <p>GitHub: <a href="https://github.com/ounissimehdi/PhagoStat">https://github.com/ounissimehdi/PhagoStat</a></p> <p>Paper: <a href="https://www.nature.com/articles/s41598-024-56081-7">https://www.nature.com/articles/s41598-024-56081-7</a></p> <p>DOI: 10.1038/s41598-024-56081-7</p>
SNSynergy: similarity network-based machine learning framework for synergy prediction towards new cell lines and new anticancer drug combinations
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JTCT - Annex 2 - Interdisciplinary analytical framework on the socio-ecological justice and sustainability implications of a circularity transition
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INCLUSIVITY WITHIN THE FRAMEWORK OF ETHNOCULTURAL DIVERSITY
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An Intelligent Java Method Name Recommendation Framework via Two-phase Neural Networks
<p>The datasets contain new-100、new-400 and dataset used in rq4.</p>
Supplementary data to BANMF-S: a blockwise accelerated non-negative matrix factorization framework with structural network constraints for single cell RNA-seq data imputation
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A CONCEPTUAL FRAMEWORK FOR APPLYING THEORIES OF HUMAN BEHAVIOR IN IMPROVING ORGANIZATIONAL EFFECTIVENESS.
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Task-driven framework using large models for digital pathology
<p>The dataset and code used to implement TDF are published on this page.</p>
Scripts and Datasets for Photocatalytic Nanoscale Metal-Organic Framework for Proximity Labeling in Living Cells
<p>Please read data_process.ipynb for more details.</p>
Implementing Mesoporosity in Zeolitic Imidazolate Frameworks through Clip-Off Chemistry in Heterometallic Iron-Zinc ZIF-8
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Role of Counterions in the Structural Stabilisation of Redox-Active Metal-Organic Frameworks
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Through-space hopping transport in an iodine-doped perylene-based metal–organic framework
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Semiconductor Porous Hydrogen-Bonded Organic Frameworks Based on Tetrathiafulvalene Derivatives
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Rational Design of 7-Azaindole-Based Robust Microporous Hydrogen-Bonded Organic Framework for Gas Sorption
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Multivariate sodalite zeolitic imidazolate frameworks: a direct solvent-free synthesis
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.