Relevant bibliographies by topics / Scarce knowledge

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Scarce knowledge'

Author: Grafiati
Published: 21 December 2024
Last updated: 30 July 2025

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Journal articles on the topic "Scarce knowledge"

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Feng, Lingyun, Minghui Qiu, Yaliang Li, Hai-Tao Zheng, and Ying Shen. "Learning to Augment for Data-scarce Domain BERT Knowledge Distillation." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 8 (2021): 7422–30. http://dx.doi.org/10.1609/aaai.v35i8.16910.

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Despite pre-trained language models such as BERT have achieved appealing performance in a wide range of Natural Language Processing (NLP) tasks, they are computationally expensive to be deployed in real-time applications. A typical method is to adopt knowledge distillation to compress these large pre-trained models (teacher models) to small student models. However, for a target domain with scarce training data, the teacher can hardly pass useful knowledge to the student, which yields performance degradation for the student models. To tackle this problem, we propose a method to learn to augment
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Buhr, Russell G., Ruby Romero, and Lauren E. Wisk. "Promotion of Knowledge and Trust Surrounding Scarce Resource Allocation Policies." JAMA Health Forum 5, no. 10 (2024): e243509. http://dx.doi.org/10.1001/jamahealthforum.2024.3509.

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ImportanceThe COVID-19 pandemic prompted rapid development of scarce resource allocation policies (SRAPs) in case demand for critical health services eclipsed capacity.ObjectiveTo test whether a brief educational video could improve knowledge of how the University of California Health’s SRAP would be implemented and trust in health systems to implement such policies in accordance with ethical principles during the pandemic.Design, Setting, and ParticipantsThis randomized clinical trial used an educational video intervention embedded in a longitudinal web-based survey and was conducted between
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Zhou, Jie, Weixin Zeng, Hao Xu, and Xiang Zhao. "Active Temporal Knowledge Graph Alignment." International Journal on Semantic Web and Information Systems 19, no. 1 (2023): 1–17. http://dx.doi.org/10.4018/ijswis.318339.

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Entity alignment aims to identify equivalent entity pairs from different knowledge graphs (KGs). Recently, aligning temporal knowledge graphs (TKGs) that contain time information has aroused increasingly more interest, as the time dimension is widely used in real-life applications. The matching between TKGs requires seed entity pairs, which are lacking in practice. Hence, it is of great significance to study TKG alignment under scarce supervision. In this work, the authors formally formulate the problem of TKG alignment with limited labeled data and propose to solve it under the active learnin
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Baird, Theodore. "Knowledge of practice: A multi-sited event ethnography of border security fairs in Europe and North America." Security Dialogue 48, no. 3 (2017): 187–205. http://dx.doi.org/10.1177/0967010617691656.

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This article takes the reader inside four border security fairs in Europe and North America to examine the knowledge practices of border security professionals. Building on the border security as practice research agenda, the analysis focuses on the production, circulation, and consumption of scarce forms of knowledge. To explore situated knowledge of border security practices, I develop an approach to multi-sited event ethnography to observe and interpret knowledge that may be hard to access at the security fairs. The analysis focuses on mechanisms for disseminating and distributing scarce fo
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Tune, Kula Kekeba, and Vasudeva Varma. "Building CLIA for Resource-Scarce African Languages." International Journal of Information Retrieval Research 5, no. 1 (2015): 48–67. http://dx.doi.org/10.4018/ijirr.2015010104.

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Since most of the existing major search engines and commercial Information Retrieval (IR) systems are primarily designed for well-resourced European and Asian languages, they have paid little attention to the development of Cross-Language Information Access (CLIA) technologies for resource-scarce African languages. This paper presents the authors' experience in building CLIA for indigenous African languages, with a special focus on the development and evaluation of Oromo-English-CLIR. The authors have adopted a knowledge-based query translation approach to design and implement their initial Or
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Sheng, Yang, Jiahan Zhang, Chunhao Wang, Fang-Fang Yin, Q. Jackie Wu, and Yaorong Ge. "Incorporating Case-Based Reasoning for Radiation Therapy Knowledge Modeling: A Pelvic Case Study." Technology in Cancer Research & Treatment 18 (January 1, 2019): 153303381987478. http://dx.doi.org/10.1177/1533033819874788.

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Knowledge models in radiotherapy capture the relation between patient anatomy and dosimetry to provide treatment planning guidance. When treatment schemes evolve, existing models struggle to predict accurately. We propose a case-based reasoning framework designed to handle novel anatomies that are of same type but vary beyond original training samples. A total of 105 pelvic intensity-modulated radiotherapy cases were analyzed. Eighty cases were prostate cases while the other 25 were prostate-plus-lymph-node cases. We simulated 4 scenarios: Scarce scenario, Semiscarce scenario, Semiample scenar
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Rodríguez-Baiget, María José, Alexander Maz Machado, José Carlos Casas del Rosal, and Arnaldo Vergara-Romero. "The scarce representation of women university professors in research groups." International Journal of Evaluation and Research in Education (IJERE) 13, no. 3 (2024): 1384. http://dx.doi.org/10.11591/ijere.v13i3.27291.

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Women university teachers in Spain simultaneously have teaching and research careers that interrelate to develop their competencies in both fields. However, as in other fields, there is not yet gender equality in representation and leadership. This paper presents a descriptive analysis of the presence and role of female university teachers-researchers in the different research groups of public universities in the Autonomous Community of Andalusia that apply for competitive calls for projects, according to the different fields of knowledge to which they belong. A total of 2,445 research groups
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Rodríguez-Baiget, María José, Alexander Maz Machado, Rosal José Carlos Casas del, and Arnaldo Vergara-Romero. "The scarce representation of women university professors in research groups." International Journal of Evaluation and Research in Education (IJERE) 13, no. 3 (2024): 1384–90. https://doi.org/10.11591/ijere.v13i3.27291.

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Women university teachers in Spain simultaneously have teaching and research careers that interrelate to develop their competencies in both fields. However, as in other fields, there is not yet gender equality in representation and leadership. This paper presents a descriptive analysis of the presence and role of female university teachers-researchers in the different research groups of public universities in the Autonomous Community of Andalusia that apply for competitive calls for projects, according to the different fields of knowledge to which they belong. A total of 2,445 research groups
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Machado, Andreia, Araci Hack, and Maria José Sousa. "Globalization: Intersection Between Communication, Innovation and Knowledge." JOURNAL OF INTERNATIONAL BUSINESS RESEARCH AND MARKETING 4, no. 4 (2019): 22–27. http://dx.doi.org/10.18775/jibrm.1849-8558.2015.44.3003.

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Advances in technological possibilities have made communication present in different media and spaces. By enabling interaction between different countries, by becoming a facilitator between knowledge and innovation in the globalized world, it has opened frontiers by providing innovations in various sectors of the knowledge society. In this sense, the objective in this article is to map the intersection of communication, innovation and knowledge in the globalized world. To that end, the methodology used in the research was the systematic search of literature that pointed out that the intersecti
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Estrada, Laia, Xavier Garcia, Joan Saló-Grau, Rafael Marcé, Antoni Munné, and Vicenç Acuña. "Spatio-temporal patterns and trends of streamflow in water-scarce Mediterranean basins." Hydrology and Earth System Sciences 28, no. 24 (2024): 5353–73. https://doi.org/10.5194/hess-28-5353-2024.

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Abstract. The issue of water scarcity, exacerbated by climate change and demographic increase, has become a growing concern in many regions throughout the world. Understanding hydrological behaviour to promote resilient and sustainable water management is paramount. Hydrological models that integrate natural processes and anthropogenic alterations of the basin's hydrology are a powerful tool to support decision-making. We developed a SWAT+ hydrological model including stakeholder expert knowledge on water management and introducing a novel calibration and validation approach suitable for heter
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Dissertations / Theses on the topic "Scarce knowledge"

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Zola, Nazo. "Organisational learning through scarce skills transfer : a case study in the Eastern Cape Province." Thesis, Stellenbosch : Stellenbosch University, 2014. http://hdl.handle.net/10019.1/86560.

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Thesis (MPhil)--Stellenbosch University, 2014.<br>ENGLISH ABSTRACT: Knowledge Transfer is one of the key knowledge management practices that organisations employ to ensure cross-pollination of knowledge across their various divisions. It should be a cornerstone of a learning organisation and should pervade the entire organisation in all its manifestations. In general it is a question whether public sector organisations in South African are employing such practices in their quest to render services effectively, efficiently and economically. This thesis focuses on an attempt at knowledge t
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Deng, Weikun. "Amélioration du diagnostic et du pronostic dans des conditions de données rares et de connaissances limitées par l'apprentissage automatique informé par la physique et auto-supervisé." Electronic Thesis or Diss., Université de Toulouse (2023-....), 2024. http://www.theses.fr/2024TLSEP107.

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Cette thèse aborde le défi des « données éparses et des connaissances rares » dans le développement d’un modèle générique de pronostic et de gestion de la santé (PHM). Elle met en lumière l'efficacité des modèles hybrides combinant la modélisation basée sur la physique (PBM) et l'apprentissage automatique (ML), notamment l'apprentissage automatique informé par la physique (PIML) et l'apprentissage auto-supervisé (SSL) pour apprendre à partir de données non étiquetées. La thèse apporte ainsi des contributions significatives aux théories PIML et SSL et à leurs applications pratiques dans le PHM.
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Gallie, Karen Ann. "Development of a knowledge about aging scale." Thesis, University of British Columbia, 1985. http://hdl.handle.net/2429/25395.

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The purpose of this study was to develop a reliable and valid knowledge about aging scale. Two hundred and ninety-eight subjects (128 males, 170 females) from the University of British Columbia, Simon Fraser University, and members of the general population, ranging from 17 to 65 years of age, and having 0 to 12 years of post secondary education, participated in this study. Subjects were chosen on the basis of having gerontological, versus no gerontological training. Subjects responded to computer randomized Likert scale questionnaires consisting of the initial 60 item Proto Knowledge About A
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Noori, Sheak Rashed Haider. "A Large Scale Distributed Knowledge Organization System." Doctoral thesis, Università degli studi di Trento, 2011. https://hdl.handle.net/11572/368691.

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The revolution of Internet and the Web takes the computer and information technology into a new age. The information on the web is growing very fast. The progress of information and communication technologies has made accessible a large amount of information, which have provided each of us with access to far more information than we can comprehend or manage. This emphasizes the difficulty with the resulting semantic heterogeneity of the diverse sources. Human knowledge is a living organism and as such evolves in time where different people having different viewpoints and using different termin
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Noori, Sheak Rashed Haider. "A Large Scale Distributed Knowledge Organization System." Doctoral thesis, University of Trento, 2011. http://eprints-phd.biblio.unitn.it/569/1/PhD_Thesis_Noori.pdf.

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The revolution of Internet and the Web takes the computer and information technology into a new age. The information on the web is growing very fast. The progress of information and communication technologies has made accessible a large amount of information, which have provided each of us with access to far more information than we can comprehend or manage. This emphasizes the difficulty with the resulting semantic heterogeneity of the diverse sources. Human knowledge is a living organism and as such evolves in time where different people having different viewpoints and using different termin
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Shoop, Jessica A. "SENIOR INFORMATION TECHNOLOGY (IT) LEADER CREDIBILITY: KNOWLEDGE SCALE, MEDIATING KNOWLEDGE MECHANISMS, AND EFFECTIVENESS." Case Western Reserve University School of Graduate Studies / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=case1491489274525242.

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Andersson, Martin. "Studies of Knowledge, Location and Growth." Licentiate thesis, Jönköping University, JIBS, Economics, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-986.

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Johnson, Michelle E., and Amy Malkus. "Design and Validation of a Nutrition Knowledge Scale for Preschoolers." Digital Commons @ East Tennessee State University, 2018. https://dc.etsu.edu/etsu-works/4584.

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Yi, Jialin. "A measure of knowledge sharing behavior scale development and validation /." [Bloomington, Ind.] : Indiana University, 2005. http://wwwlib.umi.com/dissertations/fullcit/3204302.

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Thesis (Ph.D.)--Indiana University, Dept. of Instructional Systems Technology, School of Education, 2005.<br>Source: Dissertation Abstracts International, Volume: 67-01, Section: A, page: 0067. Adviser: Thomas Schwen. "Title from dissertation home page (viewed Jan. 22, 2007)."
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Zhang, Xi. "Knowledge discovery from large-scale biological networks and their relationships." Thesis, University of British Columbia, 2010. http://hdl.handle.net/2429/23353.

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The ultimate aim of postgenomic biomedical research is to understand mechanisms of cellular systems in a systematical way. It is therefore necessary to examine various biomolecular networks and to investigate how the interactions between biomolecules determine biological functions within cellular systems. Rapid advancement in high-throughput techniques provides us with increasing amounts of large-scale datasets that could be transformed into biomolecular networks. Analyzing and integrating these biomolecular networks have become major challenges. I approached these challenges by developing nov
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Books on the topic "Scarce knowledge"

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Holden, Tony. Knowledge based CAD and microelectronics. North-Holland, 1987.

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Hameurlain, Abdelkader. Transactions on Large-Scale Data- and Knowledge-Centered Systems VII. Springer Berlin Heidelberg, 2012.

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de Sá Caetano, Elsa. Cable Vibrations in Cable-Stayed Bridges. International Association for Bridge and Structural Engineering (IABSE), 2007. http://dx.doi.org/10.2749/sed009.

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&lt;p&gt;The fifty years of experience of construction of cable-stayed bridges since their establishment as a new category among the classical types have brought an immense progress, ranging from design and conception to materials, analysis, construction, observation and retrofitting. The growing construction of cable-stayed bridges has also triggered researchers’ and designers’ attention to the problem of cable vibrations. Intensive research has been developed all over the world during the last two decades as a consequence of the numerous cases of cable vibrations exhibited by all types of ca
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Bulian, Giovanni, and Yasushi Nakano. Small-scale Fisheries in Japan. Edizioni Ca' Foscari, 2018. http://dx.doi.org/10.30687/978-88-6969-226-0.

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This collection of essays brings together a range of critical approaches, from varying disciplinary backgrounds, to provide an in-depth overview of the past and current status of small-scale fisheries in Japan. The book attempts to map out some of the major themes relating to community-based fisheries-management systems, environmental sustainability, lottery systems for allocating fishing spots, fishing livelihoods, local knowledge, social vulnerability to environmental hazards, socioeconomic factors affecting small-scale fisheries development, history of destructive fishing practices, women’s
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Burris, Scott, Micah L. Berman, Matthew Penn, and, and Tara Ramanathan Holiday. Using Evidence and Knowledge Critically in Policy Development. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190681050.003.0007.

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This chapter starts with the recognition that policymaking usually precedes evidence of what laws are effective in solving the problem at hand. That does not mean that policymaking cannot be guided by evidence. Policymakers can usually draw on extensive evidence defining the problem and evidence of analogous policy cases. This chapter identifies sources of policy recommendations and direct evidence of policy impact, including systematic reviews, narrative reviews, models, cost-benefit analysis, and individual studies. It reviews strategies for identifying bias and source credibility and tools
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Smiraglia, Richard P., and Andrea Scharnhorst, eds. Linking Knowledge. Ergon – ein Verlag in der Nomos Verlagsgesellschaft, 2021. http://dx.doi.org/10.5771/9783956506611.

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The growth and population of the Semantic Web, especially the Linked Open Data (LOD) Cloud, has brought to the fore the challenges of ordering knowledge for data mining on an unprecedented scale. The LOD Cloud is structured from billions of elements of knowledge and pointers to knowledge organization systems (KOSs) such as ontologies, taxonomies, typologies, thesauri, etc. The variant and heterogeneous knowledge areas that comprise the social sciences and humanities (SSH), including cultural heritage applications are bringing multi-dimensional richness to the LOD Cloud. Each such application a
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Wagner, Roland, Abdelkader Hameurlain, and Josef Küng. Transactions on Large-Scale Data- and Knowledge-Centered Systems IX. Springer London, Limited, 2013.

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Festing, Marion, Katharina Harsch, Lynn Schäfer, and Hugh Scullion. Talent Management in Small- and Medium-Sized Enterprises. Edited by David G. Collings, Kamel Mellahi, and Wayne F. Cascio. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780198758273.013.13.

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Despite the economic importance of small- and medium-sized enterprises (SMEs), talent management in this context is under-researched. The liability of smallness and scarce resources as typical features of SMEs require a specific definition and approach to talent management in this sector. The limited knowledge about talent management in SMEs indicates major challenges in attracting and retaining talent. We draw on the literature on human resource management (HRM) in SMEs, to put talent-management issues in a wider context. Furthermore, we outline HRM and talent-management networks and cooperat
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Penrose, Jago. The Theory of the Growth of the Firm. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198753940.003.0011.

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This chapter comprises a description of Edith’s influential book, The Theory of the Growth of the Firm, how it came to be written, and its main arguments. It is often called revolutionary. She showed that the human resources required for the management of change are tied to the individual firm and so are internally scarce. As management tries to make the best use of the resources available, a ‘dynamic’ interacting process occurs which encourages growth but limits the rate of growth. The book was an important step towards modern, liberally minded management concepts, developing the resource-bas
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Wagner, Roland, Abdelkader Hameurlain, and Josef Küng. Transactions on Large-Scale Data- and Knowledge-Centered Systems XXV. Springer London, Limited, 2016.

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Book chapters on the topic "Scarce knowledge"

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van Duyne, Petrus C., Jackie H. Harvey, and Liliya Y. Gelemerova. "Money-laundering: a global issue and scarce knowledge." In The Critical Handbook of Money Laundering. Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-137-52398-3_1.

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Ghasemi, Negin. "Knowledge Transfer from Resource-Rich to Resource-Scarce Environments." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-56069-9_44.

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Ng, Yen Kaow, and Takeshi Shinohara. "Finding Consensus Patterns in Very Scarce Biosequence Samples from Their Minimal Multiple Generalizations." In Advances in Knowledge Discovery and Data Mining. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11731139_63.

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Mellaoui, Wahiba, Richard Posso, Yodit Gebrealif, Erik Bock, Jörn Altmann, and Hyenyoung Yoon. "Knowledge Management Framework for Cloud Federation." In Economics of Grids, Clouds, Systems, and Services. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-92916-9_10.

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AbstractA cloud federation (CF) is an alliance of cloud service providers (CSPs) working together to overcome scalability and portability barriers. However, there are some business challenges (e.g., lack of trust, lack of schemes for revenue sharing, and lack of schemes for resource sharing) and technological challenges (e.g., missing schemes for resource provisioning, lack of coordinated resource management, and little load balancing), causing instability in CFs. As CF alliances pursue strategic goals, they require intensive knowledge sharing. In fact, practitioners have confirmed a positive
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Lepik, Katri-Liis, and Audronė Urmanavičienė. "The Role of Higher Education Institutions in Development of Social Entrepreneurship: The Case of Tallinn University Social Entrepreneurship Study Program, Estonia." In Innovation, Technology, and Knowledge Management. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-84044-0_7.

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AbstractThe purpose of this chapter is to introduce a higher education social enterprise program and explore how it is shaping the field of social entrepreneurship. Social enterprise related university programs are an emerging trend. Entrepreneurial university theory and ecosystem framework are used to illustrate how the university social enterprise program, in turn, develops the field of social entrepreneurship. An example of an existing social enterprise program is discussed to highlight how it can be designed. Cases of social enterprises emerged as the result of the program are used to outl
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Mwangi, Moses. "Demons of Developments Without Dialoguing with Indigenous Knowledge." In Sustainable Development Goals Series. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-85512-2_7.

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Abstract The genesis of this Chapter deliberations is informed by the fact that both the pre and post independent Kenyan governments have never prioritized people’s knowledge to be part of the development agenda. The situation is worse for the pastoralists who live in the arid and semi-arid lands (ASALs). The regions have faced development marginalization with the resultant deleterious effects being heightened by weather whims, unfair policies and scarce resources. For a people who rely on rational exploitation of natural resources for their survival, the effects have led to unsustainable live
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Jian, Yiren, Chongyang Gao, Chen Zeng, Yunjie Zhao, and Soroush Vosoughi. "Knowledge from Large-Scale Protein Contact Prediction Models Can Be Transferred to the Data-Scarce RNA Contact Prediction Task." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-78192-6_27.

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Bauckhage, Christian, Daniel Schulz, and Laura von Rueden. "Introduction and Overview." In Cognitive Technologies. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-83097-6_1.

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Abstract Informed Machine Learning (Informed ML) refers to the idea of injecting additional prior knowledge into data-driven learning systems. Such knowledge can be given in various forms such as scientific equations or logic rules which provide relevant information about a problem domain or task at hand. Integrating prior knowledge at various stages of the machine learning pipeline can help to improve generalization and trustworthiness. Specifically, Informed ML can help to train models when training data is scarce or to ensure conformity with regulations or safety demands. In this introducto
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Chimonyo, Vimbayi G. P., and Tafadzwanashe Mabhaudhi. "A Review of Existing Knowledge on Water Use and Nutritional Water Productivity in South Africa." In Enhancing Water and Food Security Through Improved Agricultural Water Productivity. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-1848-4_1.

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Abstract In South Africa, while the nation is food secure at the national level, a substantial portion of the population lives in poverty and faces food insecurity, particularly in rural areas. The country’s water scarcity, variable rainfall patterns, and unequal distribution of irrigation resources further complicate the issue. Agriculture, which relies heavily on irrigation, is a major water consumer and contributor to food production. Efforts to address these challenges include exploring strategies like rainwater harvesting and improving water productivity in agriculture. The Water Research
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Smite, Darja, and Nils Brede Moe. "The Role of Responsiveness to Change in Large Onboarding Campaigns." In Lecture Notes in Business Information Processing. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-33976-9_9.

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AbstractOnboarding is a process of organizational socialization of the new hires, that includes recruitment, orientation, training, coaching and support. While onboarding individuals into an organization is a rather straightforward task, little is known about 1) onboarding hundreds of developers and 2) doing it on a distance in outsourcing situations. Furthermore, the subject of sustainable growth with respect to organizational capabilities and culture is often overlooked. This paper reports findings from an exploratory multi-case study of two large onboarding campaigns. We collected empirical
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Conference papers on the topic "Scarce knowledge"

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Roberge, P. R., and L. Grenier. "Developing a Knowledge Framework for the Organization of Aircraft Inspection Information." In CORROSION 1996. NACE International, 1996. https://doi.org/10.5006/c1996-96382.

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Abstract This paper proposes a methodology for integrating the information contained in maintenance reports and related documents into a framework for the creation of knowledge-based systems. A study of the failures of aircraft landing gear components served to guide the elicitation of expertise with an established model of expected knowledge. This approach is particularly useful when the expertise is complex and the experts scarce, as is presently the case for the expertise on failures of aircraft components.
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Zeng, Yimin, Kaiyang Li, Jingli Luo, and Muhammad Arafin. "Impacts of Impurities on Corrosion of Supercritical CO2 Transportation Pipeline Steels." In CORROSION 2018. NACE International, 2018. https://doi.org/10.5006/c2018-11481.

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Abstract Carbon dioxide (CO2) is the primary notorious greenhouse gas which is being increasingly emitted to our ecosystem as a result of various human activities. Carbon capture and storage (CCS) is the most promising technology available today for utilizing fossil fuels as reliable energy resources while significantly reducing CO2 emissions and protecting the climate. Pipeline transportation is recognized as the most cost-effective and relatively safe solution in the context of CCS, as it can transport large amounts of CO2 under predetermined and controlled conditions. Depending on CO2 sourc
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Valdes, Alberto, Raymundo Case, Marjorie Ramirez, and Augusto Ruiz. "The Effect of Small Amounts of H2S on CO2 Corrosion of a Carbon Steel." In CORROSION 1998. NACE International, 1998. https://doi.org/10.5006/c1998-98022.

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Abstract A large amount of effort has been invested trying to understand the mechanisms through which CO2 and H2S act upon metallic surfaces. These efforts have led to different models, correlations or charts. However, present knowledge on the exact form under which these gases react on metal surfaces is far from complete. A particular aspect in which the amount of information is rather scarce is the effect of small amounts of H2S on an stream containing a large amount of CO2. The aim of this work is to determine the amount of H2S (critical concentration) that causes a maximum in the corrosion
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Paul, Shiladitya. "Behavior of Damaged Thermally Sprayed Aluminum (TSA) in Aerated and Deaerated Seawater." In CORROSION 2019. NACE International, 2019. https://doi.org/10.5006/c2019-12766.

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Abstract Thermally sprayed aluminum (TSA) has been used in offshore oil and gas infrastructure for decades. Their effectiveness in mitigating corrosion of steel structures in presence of seawater has been proven over the years. However, very little work is reported on the performance of TSA in other sectors where conditions are different and damage of such coatings is more likely, such as monopoles of offshore wind turbines. Furthermore, data on the performance of damaged TSA in conditions with limited dissolved oxygen, such as in internal walls of monopiles, is scarce. This paper addresses th
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Lu, Wei, Fu-lai Chung, and Kunfeng Lai. "Scarce Feature Topic Mining for Video Recommendation." In CIKM'16: ACM Conference on Information and Knowledge Management. ACM, 2016. http://dx.doi.org/10.1145/2983323.2983892.

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Zeng, Dan, Shanchuan Hong, Shuiwang Li, Qiaomu Shen, and Bo Tang. "Data-Scarce Animal Face Alignment via Bi-Directional Cross-Species Knowledge Transfer." In MM '23: The 31st ACM International Conference on Multimedia. ACM, 2023. http://dx.doi.org/10.1145/3581783.3612558.

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Hao, Qianyue, Fengli Xu, Lin Chen, Pan Hui, and Yong Li. "Hierarchical Reinforcement Learning for Scarce Medical Resource Allocation with Imperfect Information." In KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. ACM, 2021. http://dx.doi.org/10.1145/3447548.3467181.

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Choosri, N., Hongnian Yu, and A. S. Atkins. "Using constraint programming for split delivery scheduling in scarce resource environment." In 5th International Conference on Software, Knowledge Information, Industrial Management and Applications (SKIMA 2011). IEEE, 2011. http://dx.doi.org/10.1109/skima.2011.6089984.

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Ding, Ruiqing, Fangjie Rong, Xiao Han, and Leye Wang. "Cross-center Early Sepsis Recognition by Medical Knowledge Guided Collaborative Learning for Data-scarce Hospitals." In WWW '23: The ACM Web Conference 2023. ACM, 2023. http://dx.doi.org/10.1145/3543507.3583989.

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Cao, Lele, Sonja Horn, Vilhelm von Ehrenheim, Richard Anselmo Stahl, and Henrik Landgren. "Simulation-Informed Revenue Extrapolation with Confidence Estimate for Scaleup Companies Using Scarce Time-Series Data." In CIKM '22: The 31st ACM International Conference on Information and Knowledge Management. ACM, 2022. http://dx.doi.org/10.1145/3511808.3557110.

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Reports on the topic "Scarce knowledge"

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Roelen, Keetie, Sukanta Paul, Neil Howard, and Vibhor Mathur. Children’s Engagement with Exploitative Work in Dhaka, Bangladesh. Institute of Development Studies, 2020. http://dx.doi.org/10.19088/clarissa.2020.001.

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Despite decades of interventions aiming to reduce child labour, children’s engagement with exploitative work remains widespread, particularly in South Asia. Emerging evidence about cash transfer programmes point towards their potential for reducing children’s engagement with work, but knowledge is scarce in terms of their impact on exploitative work and in urban settings. One component of the CLARISSA programme is to trial an innovative ‘cash plus’ intervention and to learn about its potential for reducing children’s harmful and hazardous work in two slum areas in Dhaka, Bangladesh. This Worki
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Rosas-Shady, David, Laura Ripani, and Carolina González-Velosa. How Can Job Opportunities for Young People in Latin America be Improved? Inter-American Development Bank, 2012. http://dx.doi.org/10.18235/0010435.

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Job training programs for vulnerable youth are the main response of Latin American governments to address the problem of inadequate employment opportunities for young people. Despite its importance, knowledge about these programs is scarce. This study contributes to filling this gap in the literature by presenting new evidence on the effectiveness of six of these programs operating or that were implemented in Colombia, Honduras, Mexico, Panama, Peru and Dominican Republic. This analysis uses the results of impact evaluations of these programs and the results of qualitative surveys of young par
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Russell, Nathaniel, and Jose Claudio Linhares Pires. Assessing Firm-Support Programs in Brazil. Inter-American Development Bank, 2017. http://dx.doi.org/10.18235/0010693.

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Increasing productivity is generally considered to be the only sustainable way of improving living standards in the long term. The Brazilian economy has had periods of strong growth, particularly until 2010, but the country has performed poorly in terms of aggregate productivity. The federal government has implemented many programs aimed at boosting firm growth and fostering competitiveness in Brazilian industries, though knowledge about their results to date is scarce. This study provides an overview of various Brazilian programs of firm support — including productive finance, business consul
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THOTO, Fréjus, Alban MAS APARISI, and Rodrigue Castro GBEDOMON. Evidence-informed policymaking in Benin’s agriculture, food security and nutrition ecosystem. ACED, 2024. http://dx.doi.org/10.61647/aa63047.

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In Benin, more than 40% of the workforce depends on the agricultural sector, which is vital for the economy and livelihoods. Food security and nutrition (FSN) policies are therefore crucial for driving the country’s development. The study highlights the diversity of evidence types within this ecosystem, with relatively dynamic research production, but data that is often scarce and of poor quality. These weaknesses make research less usable for decision-makers, who tend to favor information from trusted sources, such as citizen and expert knowledge, rather than research data. Intermediaries pla
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Bailey Bond, Robert, Pu Ren, James Fong, Hao Sun, and Jerome F. Hajjar. Physics-informed Machine Learning Framework for Seismic Fragility Analysis of Steel Structures. Northeastern University, 2024. http://dx.doi.org/10.17760/d20680141.

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The seismic assessment of structures is a critical step to increase community resilience under earthquake hazards. This research aims to develop a Physics-reinforced Machine Learning (PrML) paradigm for metamodeling of nonlinear structures under seismic hazards using artificial intelligence. Structural metamodeling, a reduced-fidelity surrogate model to a more complex structural model, enables more efficient performance-based design and analysis, optimizing structural designs and ease the computational effort for reliability fragility analysis, leading to globally efficient designs while maint
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Eickhout, Bas, Hans van Meijl, Andrzej Tabeau, and Elke Stehfest. The Impact of Environmental and Climate Constraints on Global Food Supply. GTAP Working Paper, 2008. http://dx.doi.org/10.21642/gtap.wp47.

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*Chapter 9 of the forthcoming book "Economic Analysis of Land Use in Global Climate Change Policy," edited by Thomas W. Hertel, Steven Rose, and Richard S.J. Tol The goal of this Chapter is to study the complex interaction between agriculture, economic growth and the environment, given future uncertainties. We combine economic concepts and biophysical constraints in one consistent modeling framework to be able to quantify and analyze the long-term socio-economic and environmental consequences of different scenarios. Here, we present the innovative methodology of coupling an economic and a biop
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Wirth, Brian D. Bridging the PSI Knowledge Gap: A Multi-Scale Approach. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1167092.

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Karp, Peter D. Supporting Multiuser Access to Large-Scale Persistent Knowledge Bases. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada329281.

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Baldwin, C., and G. Abdulla. Efficient Data Management for Knowledge Discovery in Large-Scale Geospatial Imagery Collections. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/889968.

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Bethel, Wes. Scalable Analysis Methods and In Situ Infrastructure for Extreme Scale Knowledge Discovery. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1421430.

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