Bibliografías temáticas / Task Group on Discovery and Metadata

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Literatura académica sobre el tema "Task Group on Discovery and Metadata"

Autor: Grafiati
Publicado: 26 de julio de 2024
Última modificación: 31 de julio de 2025

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Artículos de revistas sobre el tema "Task Group on Discovery and Metadata"

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Turp, Clara, Lee Wilson, Julienne Pascoe, and Alex Garnett. "The Fast and the FRDR: Improving Metadata for Data Discovery in Canada." Publications 8, no. 2 (2020): 25. http://dx.doi.org/10.3390/publications8020025.

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The Federated Research Data Repository (FRDR), developed through a partnership between the Canadian Association of Research Libraries’ Portage initiative and the Compute Canada Federation, improves research data discovery in Canada by providing a single search portal for research data stored across Canadian governmental, institutional, and discipline-specific data repositories. While this national discovery layer helps to de-silo Canadian research data, challenges in data discovery remain due to a lack of standardized metadata practices across repositories. In recognition of this challenge, a
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Meyer, Raïssa, Ward Appeltans, William Duncan, et al. "Aligning Standards Communities for Omics Biodiversity Data: Sustainable Darwin Core-MIxS Interoperability." Biodiversity Data Journal 11 (October 3, 2023): e112420. https://doi.org/10.3897/BDJ.11.e112420.

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The standardization of data, encompassing both primary and contextual information (metadata), plays a pivotal role in facilitating data (re-)use, integration, and knowledge generation. However, the biodiversity and omics communities, converging on omics biodiversity data, have historically developed and adopted their own distinct standards, hindering effective (meta)data integration and collaboration.In response to this challenge, the Task Group (TG) for Sustainable DwC-MIxS Interoperability was established. Convening experts from the Biodiversity Information Standards (TDWG) and the Genomic S
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Kuzak, Mateusz, Jen Harrow, Paula Martinez, Fotis Psomopoulos, and Allegra Via. "ELIXIR Europe on the Road to Sustainable Research Software." Biodiversity Information Science and Standards 3 (July 2, 2019): e37677. https://doi.org/10.3897/biss.3.37677.

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ELIXIR (ELIXIR Europe 2019a) is an intergovernmental organization that brings together life science resources across Europe. These resources include databases, software tools, training materials, cloud storage, and supercomputers. One of the goals of ELIXIR is to coordinate these resources so that they form a single infrastructure. This infrastructure makes it easier for scientists to find and share data, exchange expertise, and agree on best practices. ELIXIR's activities are divided into the following five areas: Data, Tools, Interoperability, Compute and Training, each known as "platform".
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Paul, Deborah, and Pamela Soltis. "Progress Out of a Pandemic: Global collections, data sharing, and changing standards of practice." Biodiversity Information Science and Standards 4 (October 9, 2020): e59268. https://doi.org/10.3897/biss.4.59268.

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The COVID-19 pandemic has disrupted all aspects of our lives, but has also spawned new opportunities. Months of multidisciplinary, global collaboration have explored the connections between natural history collections and COVID-19. Museums have unrivalled (and still largely untapped) potential to contribute data, methods, and expertise to prediction, mitigation, and prevention efforts related to zoonotic disease outbreaks (DiEuliis et al. 2016, Dunnum et al. 2017), and there is a clear need for ongoing collaboration across (at least) microbiology, disease ecology, and natural history collectio
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Woodburn, Matt, Deborah L. Paul, William Ulate, and Niels Raes. "Exposing the Dark Data of Undigitized Collections: A TDWG global standard for collection descriptions." Biodiversity Information Science and Standards 3 (June 19, 2019): e37201. https://doi.org/10.3897/biss.3.37201.

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Aggregating content of museum and scientific collections worldwide offers us the opportunity to realize a virtual museum of our planet and the life upon it through space and time. By mapping specimen-level data records to standards and publishing this information, an increasing number of collections contribute to a digitally accessible wealth of knowledge. Visualizing these digital records by parameters such as collection type and geographic origin, helps collections and institutions to better understand their digital holdings and compare them to other such collections, as well as enabling res
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Hoarfrost, Adrienne, Nick Brown, C. Titus Brown, and Carol Arnosti. "Sequencing data discovery with MetaSeek." Bioinformatics 35, no. 22 (2019): 4857–59. http://dx.doi.org/10.1093/bioinformatics/btz499.

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Abstract Summary Sequencing data resources have increased exponentially in recent years, as has interest in large-scale meta-analyses of integrated next-generation sequencing datasets. However, curation of integrated datasets that match a user’s particular research priorities is currently a time-intensive and imprecise task. MetaSeek is a sequencing data discovery tool that enables users to flexibly search and filter on any metadata field to quickly find the sequencing datasets that meet their needs. MetaSeek automatically scrapes metadata from all publicly available datasets in the Sequence R
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Koivula, Hanna, Christoph Wohner, Barbara Magagna, Acquaviva d'Aragona Paolo Tagliolato, and Alessandro Oggioni. "Mobilising Long-Term Natural Environment and Biodiversity Data and Exposing it for Federated, Semantic Queries." Biodiversity Information Science and Standards 7 (September 7, 2023): e112221. https://doi.org/10.3897/biss.7.112221.

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Biodiversity and ecosystems cannot be studied without assessing the impacts of changing environmental conditions. Since the 1980s, the U.S. National Science Foundation's Long Term Ecological Research (LTER) Network has been a major force in the field of ecology to better understand ecosystems. In Europe, the LTER developments are led by the the Integrated European Long-Term Ecosystem, critical zone and socio-ecological system Research Infrastructure (eLTER RI), a currently project-based infrastructure initiative with the aim to facilitate high impact research and catalyse new insights about th
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Habermann, Ted. "Metadata 2020 Metadata Evaluation Projects." Research Ideas and Outcomes 6 (June 17, 2020): e54176. https://doi.org/10.3897/rio.6.e54176.

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Metadata 2020: a cross-community collaboration that advocates richer, connected, reusable, and open metadata for all research outputs to advance scholarly pursuits for the benefit of society. A group of volunteers working together trying to encourage and facilitate progress towards this challenging goal. Management guru Peter Druker famously said "If you can't measure it, you can't improve it". With that in mind, several Metadata 2020 projects examined approaches to metadata evaluation and connections between evaluation and guidance. Accomplishing this progress across the broad expanse of the
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Hagen, Brianne. "Book Review: Managing Metadata in Web-scale Discovery Systems." Library Resources & Technical Services 61, no. 3 (2017): 172. http://dx.doi.org/10.5860/lrts.61n3.172.

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Managing metadata in libraries today presents challenges to information professionals concerned with quality control, providing relevant search results, and taming the volume of items available for access in a web-scale discovery system. No longer are libraries limited to the collections they “own.” Catalogers and metadata professionals now assume the responsibility of providing access to millions of resources, often with limitations on who can access that resource. Relationships with vendors provide opportunities to help manage the gargantuan scale of information. Of course those opportunitie
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Miles, Simon, Juri Papay, Terry Payne, Michael Luck, and Luc Moreau. "Towards a Protocol for the Attachment of Metadata to Grid Service Descriptions and Its Use in Semantic Discovery." Scientific Programming 12, no. 4 (2004): 201–11. http://dx.doi.org/10.1155/2004/170481.

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Service discovery in large scale, open distributed systems is difficult because of the need to filter out services suitable to the task at hand from a potentially huge pool of possibilities. Semantic descriptions have been advocated as the key to expressive service discovery, but the most commonly used service descriptions and registry protocols do not support such descriptions in a general manner. In this paper, we present a protocol, its implementation and an api for registering semantic service descriptions and other task/user-specific metadata, and for discovering services according to the
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Libros sobre el tema "Task Group on Discovery and Metadata"

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Metadata. 2007.

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Next generation discovery and delivery at the University of California. 2007.

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Harvard University. Task Group on Discovery and Metadata. Final report. 2007.

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Libraries, catalogs, and the strange new digital landscape. 2007.

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Capítulos de libros sobre el tema "Task Group on Discovery and Metadata"

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Yousefi, Niloofar, Michael Georgiopoulos, and Georgios C. Anagnostopoulos. "Multi-Task Learning with Group-Specific Feature Space Sharing." In Machine Learning and Knowledge Discovery in Databases. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23525-7_8.

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Aguado, D., J. Alferes, A. Menniti, et al. "Slutsatser och framtidsutblick." In Bästa möjliga data från givare i avloppsreningsprocesser. IWA Publishing, 2025. https://doi.org/10.2166/9781789065107_0239.

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I det här kapitlet beskriver vi nuläget för insamling och hantering av metadata och reflekterar över vad IWA task group MetaCO har bidragit med. Vi ger också praktiska råd på hur denna rapport kan användas i den dagliga driften för datahanteringen med en kort guide som beskriver hur bästa möjliga praxis för metadata kan initieras. Kapitlet, och även denna rapport, avslutas med en kort framtidsutblick, med tankar om framtida möjligheter.
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Aguado, D., J. Alferes, A. Menniti, et al. "Conclusions and outlook." In Metadata Collection and Organization in Wastewater Treatment and Wastewater Resource Recovery Systems. IWA Publishing, 2024. http://dx.doi.org/10.2166/9781789061154_0241.

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In this chapter, we provide notes on the state of metadata collection and organization practices and reflect on the achievements of the MetaCO task group. We also include an utility perspective on how to use this report in daily data management practice and a short guide is provided to show how metadata practices can be initiated. The chapter, and the report, is concluded within an outlook, sketching future progress and opportunities on the horizon.
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Aguado, D., J. Alferes, Q. Plana, M. V. Ruano, O. Samuelsson, and K. Villez. "Introduction." In Metadata Collection and Organization in Wastewater Treatment and Wastewater Resource Recovery Systems. IWA Publishing, 2024. http://dx.doi.org/10.2166/9781789061154_0001.

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This report provides a comprehensive overview of metadata to describe sensor signals in wastewater treatment plants and methods to obtain such metadata. In this introduction, we explain the original motivation behind the MetaCO task group. This includes a description of historical challenges (data volume, data velocity) for which mature technology is now available, and newer challenges, which relate to data structure (data variety) and data quality (veracity). We conclude the chapter with an expression of gratitude to all involved.
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Aguado, D., J. Alferes, Q. Plana, M. V. Ruano, O. Samuelsson, and K. Villez. "Inledning." In Bästa möjliga data från givare i avloppsreningsprocesser. IWA Publishing, 2025. https://doi.org/10.2166/9781789065107_0001.

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Denna rapport gör en djupdykning i s.k. metadata från givare på avloppsreningsverk, inklusive metoder för att generera metadata. I detta inledande kapitel beskrivs drivkrafterna bakom den IWA task group MetaCO (Meta-data Collection and Organization) som har skrivit denna rapport. Drivkrafterna för rapporten inkluderar historiska datatekniska utmaningar (stora datamängder och dataflöden) och mer aktuella utmaningar såsom datastrukturer (hantering av olika typer och strukturer av data) och datakvalitet (validering av tillförlitlighet hos data). Kapitlet avslutas med ett stort tack till alla som
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Fox Peter, VSTO Team, and SeSF Team. "Semantic Search in Solar-Terrestrial Sciences." In Studies on the Semantic Web. IOS Press, 2015. https://doi.org/10.3233/978-1-61499-501-2-127.

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The interdisciplinary research and application fields of solar, solar-terrestrial and space physics encompasses a wide variety of physical and chemical phenomena. And increasingly there is a tremendous need for cross-disciplinary collaboration very often underpinned by the ability to find appropriate data and information resources, using them, and sharing outputs. On the provider side, there is a strong need to have the data they produce found and used by many stakeholder groups, i.e. not just researchers. With such diverse areas of study, and emphasis on multi-disciplinarity, the challenges p
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Strohmaier, Robert, Gerhard Sprung, Alexander Nischelwitzer, and Sandra Schadenbauer. "Usability Testing of Mixed Reality Scenarios: A Hands-on Report." In Updates on Software Usability [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.107792.

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We would like to share our insights in designing, preparing, preforming, and analyzing usability tests for multiple connected augmented reality and virtual reality applications as well as traditional mobile applications developed for a multimodal screening tool. This screening tool is under development at the University of Applied Sciences FH JOANNEUM in Graz, Austria. Several researchers from the departments of health studies and applied computer sciences are working closely together to establish a tool for early diagnosis of cognitive impairments to contribute to the management of dementia.
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Theng, Yin-Leng, Nyein Chan Lwin Lwin, Jin-Cheon Na, Schubert Foo, and Dion Hoe-Lian Goh. "Design and Development of a Taxonomy Generator." In Handbook of Research on Digital Libraries. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-59904-879-6.ch008.

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This chapter addresses the issues of resource discovery in digital libraries (DLs) and the importance of knowledge organization tools in building DLs. Using the Greenstone digital library (GSDL) software as a case example, we describe a taxonomy generation tool (TGT) prototype, a hierarchical classification of contents module, designed and built to categorize contents within DLs. TGT was developed as a desktop application using Microsoft .NET Framework 2.0 in Visual C# language and object-oriented programming. In TGT, Z39.19 was implemented providing standard guidelines to construct, format, a
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Actas de conferencias sobre el tema "Task Group on Discovery and Metadata"

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Zheng, Zimu, Yuqi Wang, Quanyu Dai, Huadi Zheng, and Dan Wang. "Metadata-driven Task Relation Discovery for Multi-task Learning." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/615.

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Task Relation Discovery (TRD), i.e., reveal the relation of tasks, has notable value: it is the key concept underlying Multi-task Learning (MTL) and provides a principled way for identifying redundancies across tasks. However, task relation is usually specifically determined by data scientist resulting in the additional human effort for TRD, while transfer based on brute-force methods or mere training samples may cause negative effects which degrade the learning performance. To avoid negative transfer in an automatic manner, our idea is to leverage commonly available context attributes in nowa
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Morgan, O. "Wrappers and Metadata Sub Group." In IEE Colloquium on The EBU-SMPTE Task Force: Building an Infrastructure for Managing Compressed Video Systems. IEE, 1997. http://dx.doi.org/10.1049/ic:19971299.

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Vucinic, Dean, Marina Pesut, Franjo Jovic, and Chris Lacor. "Exploring Ontology-Based Approach to Facilitate Integration of Multi-Physics and Visualization for Numerical Models." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-86477.

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Today, within the engineering design process, we have interactions between different design teams, where each team has its own design objective and continuous need to present and share results with other groups. Common engineering environments are equipped with advanced modeling and simulation tools, specially designed to improve engineer’s productivity. In this paper we propose the use of ontologies, the semantic metadata descriptors, to facilitate the software development process in building such multidisciplinary engineering environments. The important development task is to perform integra
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Arlitt, Ryan, Anthony Nix, Robert Stone, and Chiradeep Sen. "Discovery of Mental Metadata Used for Analogy Formation in Function-Based Design." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-46963.

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Applying previous solutions to solve new problems is a core aspect of design. In this context, analogies provide a mechanism to reapply previous solutions in new ways, but analogy formation is limited by a designer’s knowledge. One approach toward improving a designer’s analogy-forming capabilities is to provide an easy-to-use computational means of retrieving a wide breadth of relevant analogies. This work aims to answer what types of similarity are commonly used to draw design analogies, and whether some types of similarity are used more frequently in compound analogy versus single analogy.
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da Silva, E. H. M., J. Laterza, and T. P. Faleiros. "New State-of-the-Art for Question Answering on Portuguese SQuAD v1.1." In Symposium on Knowledge Discovery, Mining and Learning. Sociedade Brasileira de Computação - SBC, 2022. http://dx.doi.org/10.5753/kdmile.2022.227787.

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In the Natural Language Processing field (NLP), Machine Reading Comprehension (MRC), which involves teaching computers to read a text and understand its meaning, has been a major research goal over the last few decades. A natural way to evaluate whether a computer can fully understand a piece of text or, in other words, test a machine’s reading comprehension, is to require it to answer questions about the text. In this sense, Question Answering (QA) has received increasing attention among NLP tasks. For this study, we fine-tuned BERT Portuguese language models (BERTimbau Base and BERTimbau Lar
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Zhai, Yuyao, Liang Chen, and Minghua Deng. "Realistic Cell Type Annotation and Discovery for Single-cell RNA-seq Data." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/552.

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The rapid development of single-cell RNA sequencing (scRNA-seq) technologies allows us to explore tissue heterogeneity at the cellular level. Cell type annotation plays an essential role in the substantial downstream analysis of scRNA-seq data. Existing methods usually classify the novel cell types in target data as an “unassigned” group and rarely discover the fine-grained cell type structure among them. Besides, these methods carry risks, such as susceptibility to batch effect between reference and target data, thus further compromising of inherent discrimination of target data. Considering
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Aguado García, Daniel, Frank Blumensaat, Juan Antonio Baeza, et al. "Metadata: a must for the digital transition of wastewater treatment plants." In 2nd WDSA/CCWI Joint Conference. Editorial Universitat Politècnica de València, 2022. http://dx.doi.org/10.4995/wdsa-ccwi2022.2022.14249.

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The increment in the number and diversity of available (and affordable) sensors together with the advances in information and communications technologies have made it possible to routinely measure and collect large amounts of data at wastewater treatment plants (WWTPs). This enormous amount of available data has boosted the interest in applying sound data-driven solutions to improve the current normal daily operation of these facilities. However, to have a real impact in current operation practices, useful information from the massive amount of data available should be extracted and turned int
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Pupezescu, Valentin. "PULSATING MULTILAYER PERCEPTRON." In eLSE 2016. Carol I National Defence University Publishing House, 2016. http://dx.doi.org/10.12753/2066-026x-16-035.

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The Knowledge Discovery in Databases represents the process of extracting useful information from data that are stored in real databases. The Knowledge Discovery in Databases process consists of multiple steps which include selection target data from raw data, preprocessing, data transformation, Data Mining and interpretation of mined data. As we see, the Data Mining is one step from the whole process and it will perform one of these Data Mining task: classification, regression, clustering, association rules, summarization, dependency modelling, change and deviation detection. In this experime
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Chen, H., Q. Zhao, W. Lu, et al. "Application of Self-Supervised Autonomous Agent Framework for Digital Transformation of Elder Well Potentials Discovery." In ADIPEC. SPE, 2024. http://dx.doi.org/10.2118/223028-ms.

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Abstract Objectives/Scope The manuscript presents an innovative agent-based framework aimed at enhancing the reassessment of elder oil and gas wells. By integrating diverse generative artificial intelligence (AIGC) models, this framework harnesses self-supervised feedback mechanisms to continually enhance the reasoning prowess of large-scale models, thereby facilitating curve reconstruction, horizon forecasting, and potential layer interpretation for existing wells. Notably, this approach demonstrates the feasibility of agent-driven AI-native applications in bridging various oil and gas indust
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Mathews, Larry K. "An Industry Program for Managing PWSCC of Closure Head Penetrations." In 10th International Conference on Nuclear Engineering. ASMEDC, 2002. http://dx.doi.org/10.1115/icone10-22365.

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The Alloy 600 Issues Task Group of the EPRI managed Materials Reliability Program initiated an industry program to address the generic aspects of the Alloy 182 weld cracking in the A hot leg nozzle weld at V. C. Summer in December 2000. The generic affects of the recent cracks in the Alloy 600 Control Rod Drive Module (CRDM) and thermocouple (T/C) nozzles at Oconee 1 in November 2000 would also be included. This need for a concerted industry effort for head penetrations was further emphasized by the discovery of similar cracking at Arkansas Nuclear One (ANO) Unit 1 and the other two Oconee uni
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Informes sobre el tema "Task Group on Discovery and Metadata"

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Corriveau, L., J. F. Montreuil, O. Blein, et al. Metasomatic iron and alkali calcic (MIAC) system frameworks: a TGI-6 task force to help de-risk exploration for IOCG, IOA and affiliated primary critical metal deposits. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/329093.

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Australia's and China's resources (e.g. Olympic Dam Cu-U-Au-Ag and Bayan Obo REE deposits) highlight how discovery and mining of iron oxide copper-gold (IOCG), iron oxide±apatite (IOA) and affiliated primary critical metal deposits in metasomatic iron and alkali-calcic (MIAC) mineral systems can secure a long-term supply of critical metals for Canada and its partners. In Canada, MIAC systems comprise a wide range of undeveloped primary critical metal deposits (e.g. NWT NICO Au-Co-Bi-Cu and Québec HREE-rich Josette deposits). Underexplored settings are parts of metallogenic belts that extend in
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ARL/CARL Task Force on Marrakesh Treaty Implementation: Final Report / Groupe de travail de l’ARL-ABRC sur la mise en oeuvre du Traité de Marrakech. Association of Research Libraries and Canadian Association of Research Libraries, 2024. http://dx.doi.org/10.29242/report.marrakesh2023.

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This report published by the Association of Research Libraries (ARL) and the Canadian Association of Research Libraries (CARL) summarizes recommendations for libraries in each of the areas explored by the ARL/CARL Task Force on Marrakesh Treaty Implementation. The report also includes recommendations for ARL and CARL—each Association’s respective committees will carry forth these recommendations. Through a three-year pilot project, the ARL/CARL task force explored elements of Marrakesh Treaty implementation in the US and Canada, focusing on what was required to enable scholars’ unfettered acce
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