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Articoli di riviste sul tema "Scarce knowledge"

Autore: Grafiati

Pubblicato: 21 dicembre 2024

Ultima modifica: 30 luglio 2025

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1

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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Serafini, M. "Rise and falls of dietary antioxidants for disease prevention: Magic bullets, false myth or scarce knowledge?" European Journal of Pharmacology 668 (September 2011): e5. http://dx.doi.org/10.1016/j.ejphar.2011.09.203.

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Merriman, Juanitas, Pete Keohane, and Emma Hodges. "A scarce resource: Psychiatrists’ perceptions of referring over 75s for psychological therapy." FPOP Bulletin: Psychology of Older People 1, no. 144 (2018): 64–69. http://dx.doi.org/10.53841/bpsfpop.2018.1.144.64.

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This study sought to understand why referrals for psychological therapies reduce with age within an older person’s mental health service. Individual interviews took place with six psychiatrists and a thematic analysis was conducted. Findings suggest that being over 75 signalled the presence of other factors such as; suitability of alternative interventions, cohort characteristics and doubts over therapeutic efficacy. Referral behaviour did not seem to be driven by prejudice but was influenced by the referrers’ knowledge and bias, service availability and age related complexities. This highligh

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Nießen, Sonja, and Hermann Ney. "Statistical Machine Translation with Scarce Resources Using Morpho-syntactic Information." Computational Linguistics 30, no. 2 (2004): 181–204. http://dx.doi.org/10.1162/089120104323093285.

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In statistical machine translation, correspondences between the words in the source and the target language are learned from parallel corpora, and often little or no linguistic knowledge is used to structure the underlying models. In particular, existing statistical systems for machine translation often treat different inflected forms of the same lemma as if they were independent of one another. The bilingual training data can be better exploited by explicitly taking into account the interdependencies of related inflected forms. We propose the construction of hierarchical lexicon models on the

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Malsch, Florence, and Gilles Guieu. "How to get more with less? Scarce resources and high social ambition: effectuation as KM tool in social entrepreneurial projects." Journal of Knowledge Management 23, no. 10 (2019): 1949–64. http://dx.doi.org/10.1108/jkm-12-2018-0745.

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Purpose This paper aims to integrate research on KM with the effectuation approach. This paper will add to the understanding of effectuation as a KM tool in the context of social entrepreneurial networks. Although researchers agree that the lack of resources is a structural point for the context of social entrepreneurship and that knowledge is crucial in social entrepreneurship, only few studies deal with trying to understand how resources and knowledge are obtained, transformed and managed. An effectual approach seems to be particularly appropriate to work on this subject. Design/methodology/

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Krishna, Hemlata Nirala, Shashi Kant Suryavanshi, Sachin Kumar, Harendra Kumar, and Amar Nath. "Rice Production in Water-Scarce Environments: A Review of Conservation Agriculture Techniques." Journal of Advances in Biology & Biotechnology 27, no. 11 (2024): 703–13. http://dx.doi.org/10.9734/jabb/2024/v27i111654.

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Rice is a critical crop for global food security, but its production is increasingly threatened by water scarcity. Conservation agriculture (CA) techniques have been identified as a promising approach to address this challenge. This review synthesizes the current state of knowledge on CA techniques for rice production in water-scarce environments, focusing on their effects on soil health, water productivity, and rice yields. We examine the evidence from various studies and identify the constraints and opportunities for adoption among smallholder farmers. Our review highlights the potential of

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Teixeira, Eduardo Kunzel, Mirian Oliveira, and Carla Curado. "Linking knowledge management processes to innovation." Management Research Review 43, no. 3 (2019): 332–49. http://dx.doi.org/10.1108/mrr-10-2018-0391.

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Purpose This paper aims to analyse the relationship between knowledge management processes and innovation (KM-IN) in Brazilian and Portuguese companies. Design/methodology/approach The tests were performed using a sequential mixed-method approach. Quantitative analysis was conducted using 341 observations from Brazilian and Portuguese companies and partial least squares techniques. Qualitative analysis was conducted using ten interviews and content analysis techniques. Findings Results showed differences between Brazilian and Portuguese companies with respect to the relationship between knowle

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Schneider, Ursula. "The Knowledge-Attention-Gap: Do We Underestimate the Problem of Information Overload in Knowledge Management." JUCS - Journal of Universal Computer Science 8, no. (5) (2002): 482–90. https://doi.org/10.3217/jucs-008-05-0482.

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The generation of technical knowledge abounds while the underusage of existing knowledge potential remains a problem in business as well as in society. Generally speaking value can be extracted from knowledge in three ways:by exclusive useby faster accessby better translation of public knowledge into products that yield private profitEach way requires different approaches to KM. But in all cases the problem of how to deal with abundance arises: It arises at the individual as well as at the level of interface design in a knowledge dividing society. First ideas to solve that problem refer to the

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Elishakoff, Isaac, and Pierluigi Colombi. "Combination of probabilistic and convex models of uncertainty when scarce knowledge is present on acoustic excitation parameters." Computer Methods in Applied Mechanics and Engineering 104, no. 2 (1993): 187–209. http://dx.doi.org/10.1016/0045-7825(93)90197-6.

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GATEAU, THIERRY, and LAURENT SIMON. "CLOWN SCOUTING AND CASTING AT THE CIRQUE DU SOLEIL: DESIGNING BOUNDARY PRACTICES FOR TALENT DEVELOPMENT AND KNOWLEDGE CREATION." International Journal of Innovation Management 20, no. 04 (2016): 1640006. http://dx.doi.org/10.1142/s1363919616400065.

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A significant part of management in creative organisations is the discovery, development, and engagement of the creative talents. These activities require practices at the intersection of talent management, knowledge management and HR management. In this paper, we observed a bootcamp held at Cirque du Soleil in order to experiment with new casting and training practices for a scarce and specific occupational creative community: clowns. Our study shows that this bootcamp provides context at the borders of distinct practices: recruitment, training, and exploration. This intermediary zone allows

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Wright, Peter, Marian Friestad, and David M. Boush. "The Development of Marketplace Persuasion Knowledge in Children, Adolescents, and Young Adults." Journal of Public Policy & Marketing 24, no. 2 (2005): 222–33. http://dx.doi.org/10.1509/jppm.2005.24.2.222.

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Conceptualizations of children's and adolescents' knowledge about advertising and persuasion have evolved considerably over the past three decades. However, empirical research on this topic has been scarce in the past two decades. The authors review the early and current models of children's marketplace persuasion knowledge for insights into the conceptual limits of prior empirical research and opportunities for research grounded in richer models of advertising knowledge. They discuss goals and directions for the next generation of research programs so that such research will yield more comple

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Byford, Sarah, and Iris Molosankwe. "Valuing knowledge of the cost and cost-effectiveness of medicines." Psychiatrist 34, no. 9 (2010): 369–70. http://dx.doi.org/10.1192/pb.bp.110.030155.

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SummaryKnowledge of the cost of pharmaceuticals is an important step towards cost-effective prescribing, yet evidence presented by Singh and colleagues highlights a lack of awareness of the cost of psychotropic medication among doctors in one NHS foundation trust and failures in the dissemination of cost data. These findings support the existence of substantial barriers to the success of cost-effective prescribing strategies in the UK. The next, and more challenging step, is to explore knowledge of the relative cost-effectiveness of pharmaceuticals, since knowledge of cost alone is inadequate

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Ruiz Rubio, Lucía. "Delirium and Nursing in adults and older adults. Review of the literature." Enfermería Cuidándote, no. 8 (June 18, 2025): 111. https://doi.org/10.51326/ec.8.5745749.

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Introduction: Delirium or confusional syndrome is a neurocognitive disorder with different symptomatology oriented towards cognitive alterations in consciousness and attention. New research is scarce, so there is a need for the present study, an update of knowledge on a relevant syndrome from the perspective of the nursing profession. General objective: To compile scientific knowledge on delirium applied to adults and the elderly from the nursing perspective, specifically seeking to study the triggering factors and the level of knowledge of nursing professionals. Methodology: A literature revi

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Yadamala, Bala Sekhar, Hemant Kumar, Govind Raju, and Chandra Jeet Yadav. "Ethno-botanical Survey of Tree Species of Scarce Rainfall Zone of State Andhra Pradesh, India." Journal of Advances in Biology & Biotechnology 28, no. 3 (2025): 678–91. https://doi.org/10.9734/jabb/2025/v28i32127.

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The scarce rainfall zone of Andhra Pradesh is home to a diverse range of tree species with significant ecological, medicinal, and economic value. This study presents an ethno-botanical survey conducted during the year 2022-23in the Anantapur (A.D.), Kurnool (K.D.), Nandyal (N.D.), and Sri Satya Sai (S.D.) districts of Andhra Pradesh, India. A total of 34, 53, 56, and 50 tree species belonging to 16, 21, 22, and 22 different families were recorded in A.D., K.D., N.D., and S.D., respectively. The study highlights the traditional knowledge associated with these species, particularly their medicin

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Chen, Chen, Gerhard Sonnert, Philip M. Sadler, and Susan Sunbury. "The Impact of High School Life Science Teachers’ Subject Matter Knowledge and Knowledge of Student Misconceptions on Students’ Learning." CBE—Life Sciences Education 19, no. 1 (2020): ar9. http://dx.doi.org/10.1187/cbe.19-08-0164.

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One of the foundational assumptions in education is that greater teacher knowledge contributes to greater gains in student knowledge, but empirical evidence in support of this assumption is scarce. Using a U.S. sample of 79 biology teachers and their 2749 high school students, we investigate whether teachers’ subject matter knowledge (SMK) and knowledge of students’ misconceptions (KOSM) in high school life science are associated with students’ posttest performance on multiple-choice test items designed to reveal student misconceptions, after controlling for their pretest scores. We found that

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Skarbø Solem, Marit. "Negotiating knowledge claims: Students’ assertions in classroom interactions." Discourse Studies 18, no. 6 (2016): 737–57. http://dx.doi.org/10.1177/1461445616668072.

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This study examines interactional sequences in which students make assertions about topic-relevant matters in classroom interactions. Using a Conversation Analytical approach, I show how the students’ knowledge claims lead to negotiations of sequential and epistemic rights to make such claims. Through these negotiations, the students upgrade their epistemic stance by repeating or backing their claims with accounts and providing evidence of them. The teachers’ acceptance or rejection of the students’ initiatives displays an orientation to the sequential and topical relevance of the information

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Iriarte, A. G., W. J. Peláez, F. Fülöp, and G. A. Argüello. "Vibrational spectra of solid cis- and trans-2-thioxohexahydroquinazolin-4(1H)-one and theoretical calculations towards the interpretation of its thermal reactivity." RSC Advances 5, no. 54 (2015): 43345–52. http://dx.doi.org/10.1039/c5ra05645d.

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FT-Raman and FT-IR spectra ofcisandtrans2-thioxohexahydroquinazolin-4(1H)-one are reported. Both compounds are dimers in the solid phase, withC<sub>2</sub>symmetry. This work contributes to the knowledge of data which are rather scarce for quinazolinones.

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ESTÉVEZ, ANA LÍA, M. L. LÓPEZ RUF, and E. P. HERNÁNDEZ. "Description of the preimaginal instars of Nerthra gaucha Estévez-Schnack (Hemiptera: Heteroptera: Gelastocoridae)." Zootaxa 2444, no. 1 (2010): 61. http://dx.doi.org/10.11646/zootaxa.2444.1.5.

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The current knowledge of postembryonic development of Gelastocoridae is scarce. All instars of gelastocorids are known only for two species, Gelastocoris oculatus oculatus (Fabricius) (Hungerford 1922, Brown & Mc Pherson 1994) (Gelastocorinae), and Nerthra ranina (Herrich-Schäffer) (Estévez & Schnack 1978) (Nerthrinae).

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Bureau, Pauline. "Climate knowledge or climate debate?" Terminology 30, no. 1 (2024): 35–57. http://dx.doi.org/10.1075/term.00076.bur.

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Abstract While media coverage of climate change has been shown to imply selective knowledge transformation (Carvalho 2007; Brand & Brunnengräber 2012; Kunelius & Roosvall 2021), studies assessing the potential for climate experts’ terminology to acquire ideological undertones as it enters mediatic discourses are still scarce. Through this article, we aim to compare the meaning climate experts and the media give to terms pertaining to climate change in English discourses and to determine whether potential cotextual variation in the discourses produced by these two communities have ideol

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Ma, Lei, Zheng Liu, Xiaojing Huang, and Tao Li. "The Impact of Local Government Policy on Innovation Ecosystem in Knowledge Resource Scarce Region: Case Study of Changzhou, China." Science, Technology and Society 24, no. 1 (2019): 29–52. http://dx.doi.org/10.1177/0971721818806096.

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With business today relying increasingly more on collaboration, new product development is also on a network base. The concept of innovation ecosystem is built upon knowledge creating and sharing across companies, knowledge institutions, policy regimes, business enterprises and industry boundaries. China as the largest emerging market has witnessed innovation with interaction among government, university, industry and research. Though government plays an important role in promoting innovation, not many studies have covered the detailed dynamic process and impact of policy on forming innovation

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Matthew, N. O. Sadiku, B. Olanrewaju Kazeem, A. Dada Emmanuel, and M. Musa Sarhan. "Expert Systems in Healthcare." Journal of Scientific and Engineering Research 8, no. 1 (2021): 93–97. https://doi.org/10.5281/zenodo.10552165.

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<strong>Abstract</strong> An expert system (ES) is a computer program that has a knowledge base and a set of rules that infer new facts from the knowledge.  Based on the knowledge base, the system is capable of making intelligent decisions. It is a branch of artificial intelligence that provides discipline-specific advice to the user. The ES captures scarce expert knowledge and render it archival. Its main goal is to replicate a human expert and replace him or her in a problem-solving activity.  This paper provides a brief introduction to the applications of expert systems in healthc

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Itou, Junko, Takayuki Higashi, and Jun Munemori. "Proposal and Comparison of an Idea Generation Support System Presenting Words for the Use of Scarce Knowledge People." Procedia Computer Science 60 (2015): 918–25. http://dx.doi.org/10.1016/j.procs.2015.08.255.

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Shah, Haseeb, Johannes Villmow, Adrian Ulges, Ulrich Schwanecke, and Faisal Shafait. "An Open-World Extension to Knowledge Graph Completion Models." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 3044–51. http://dx.doi.org/10.1609/aaai.v33i01.33013044.

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We present a novel extension to embedding-based knowledge graph completion models which enables them to perform open-world link prediction, i.e. to predict facts for entities unseen in training based on their textual description. Our model combines a regular link prediction model learned from a knowledge graph with word embeddings learned from a textual corpus. After training both independently, we learn a transformation to map the embeddings of an entity’s name and description to the graph-based embedding space.In experiments on several datasets including FB20k, DBPedia50k and our new dataset

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Costa, Marcela Larissa, Marcos da Silva Brandão, David Lima Oliveira, José Rodrigo Santos Silva, and Raquel Simões Mendes-Netto. "Food processing knowledge among university students." Research, Society and Development 11, no. 6 (2022): e7611628748. http://dx.doi.org/10.33448/rsd-v11i6.28748.

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The NOVA classification is not yet widely understood by the entire population and studies evaluating knowledge about the degree of food processing in university students are still scarce. In addition, it is unclear whether there is a difference in knowledge about the degree of food processing between academic areas in universities. Knowing that less knowledge can be a risk factor for risky eating habits, this study aims to assess the knowledge about food processing grade among university students. A cross-sectional study with 977 students. The questionnaire assessed knowledge about the degree

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Radeva-Ilieva, Maya, Stanila Stoeva, Nadezhda Hvarchanova, and Kaloyan D. Georgiev. "Green Tea: Current Knowledge and Issues." Foods 14, no. 5 (2025): 745. https://doi.org/10.3390/foods14050745.

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Green tea possesses antioxidant, anti-inflammatory, anticancer, and antimicrobial activities, reduces body weight, and slows down aging. These effects are primarily attributed to catechins contained in green tea leaves, particularly epigallocatechin-3-gallate. However, in humans, the realization of green tea’s beneficial effects is limited. In order to summarize and critically analyze the available scientific information about green tea’s health benefits and issues related to its use, we conducted an in-depth literature review in scientific databases. A number of in vitro studies reported that

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Durán-Sánchez, Amador, María de la Cruz del Río-Rama, José Álvarez-García, and Mª Teresa Cabezas-Hernández. "Water Markets: Mapping Scientific Knowledge." Water 14, no. 12 (2022): 1907. http://dx.doi.org/10.3390/w14121907.

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Water is a vital resource for citizens’ economic and social development. However, the uses to which it can be put often conflict. Possible solutions to mitigate disputes involve political options, scarce economic resources, and the search for mechanisms to ensure its adequate allocation. For over half a century, countries such as Australia, Spain, Chile, and the western states of the United States have been considering the possibility of using markets for rights of use. They are defined as formal or informal trading exchanges of rights, whose aim is to improve efficiency, ensure security of su

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Appel-Meulenbroek, Rianne, Bauke de Vries, and Mathieu Weggeman. "Knowledge Sharing Behavior: The Role of Spatial Design in Buildings." Environment and Behavior 49, no. 8 (2016): 874–903. http://dx.doi.org/10.1177/0013916516673405.

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Knowledge sharing during unplanned face-to-face meetings between employees is indispensable for innovation-based organizations. Spatial design of office buildings has been proven to influence the number of meetings dyads have at work, but research on the behavior during such meetings remains scarce. This article analyzes how several spatial variables relate to employee behavior during such meetings (joint activities, location, intentionality, and issues addressed). A 1-week diary of 138 employees from one research organization provided data on 918 knowledge-sharing meetings. Analysis of the bu

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Williams III, George Robert. "Rationality: What It Is, Why It Matters, and Why It Seems Scarce by Steven Pinker." Journal of Scientific Exploration 36, no. 3 (2022): 507–11. http://dx.doi.org/10.31275/20222587.

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Abstract (sommario):

In his latest book, Rationality: What It Is, Why It Matters, Why It Seems Scarce, Steven Pinker brings attention to how we might strengthen our reasoning powers, as well as be more cognizant of the ways we might fall short. This mostly takes the form of a wide-ranging tour, acquainting us with various forms of fallacious reasoning as well as tools to improve our reasoning faculties. As a famous professor of psychology at Harvard, Pinker is arguably well-equipped to provide a comprehensive survey on various sorts of cognitive biases and ways of thinking about rationality. The book provides a us

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Zainuddin, Nurdiana, Wan Ismahanisa Ismail, Parameswari Nalliappan, and Hidayah Karuniawati. "Knowledge, Attitude and Practice of Conventional Medicine Among Thalassaemia In Malaysia: Conceptual paper." Environment-Behaviour Proceedings Journal 9, no. 30 (2024): 85–91. http://dx.doi.org/10.21834/e-bpj.v9i30.6191.

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Abstract (sommario):

Thalassaemia is chronic hereditary blood disorder. Medication has extended patients' lifespans, but research on their quality of life is scarce due to psychological impacts and medication adherence issues. The objective is to develop and validate a survey assessing the knowledge, attitude, and practice of Malaysian thalassaemia patients towards medication. We will use an exploratory mixed-methods approach with ethical approval from UiTM. Phase I involves semi-structured interviews with thalassaemia patients. Phase II focusses on creating and validating KAP instruments with expert panels and pi

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Ankamah, Eric Fifi, and Joseph Yao Amoah. "Sustainable Knowledge Investment and Returns in Ghana." International Journal of Technology and Management Research 3, no. 1 (2020): 1–12. http://dx.doi.org/10.47127/ijtmr.v3i1.67.

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Abstract (sommario):

This study measured the rate of returns for knowledge asset as Gross Domestic Product (GDP) per capita, (a human progress indicator) rather focuses on production and consumption of scarce tangible assets. Knowledge investment rate of return is beneficial, because, knowledge is a limitless intangible asset, growth enhancing and sustainable, thus, also averting the challenges of Knowledge Economy Index (KEI). Sustainable Knowledge Investment Returns can ensure quality higher education, improvement in scientific research and accelerate attainment or consolidation of achieved Sustainable Developme

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Karanam, Athresh, Saurabh Mathur, Sahil Sidheekh, and Sriraam Natarajan. "A Unified Framework for Human-Allied Learning of Probabilistic Circuits." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 17 (2025): 17779–87. https://doi.org/10.1609/aaai.v39i17.33955.

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Abstract (sommario):

Probabilistic Circuits (PCs) have emerged as an efficient framework for representing and learning complex probability distributions. Nevertheless, the existing body of research on PCs predominantly concentrates on data-driven parameter learning, often neglecting the potential of knowledge-intensive learning, a particular issue in data-scarce/knowledge-rich domains such as healthcare. To bridge this gap, we propose a novel unified framework that can systematically integrate diverse domain knowledge into the parameter learning process of PCs. Experiments on several benchmarks as well as real wor

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Schneider, Kurt. "What to Expect from Software Experience Exploitation." JUCS - Journal of Universal Computer Science 8, no. (6) (2002): 570–80. https://doi.org/10.3217/jucs-008-06-0570.

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Abstract (sommario):

Software quality management and quality assurance are disciplines that require substantial knowledge of the methods and techniques to be applied. More important than a solid knowledge of methodology, however, is the ability to judge feasibility of approaches, and to tailor activities to the business unit culture and constraints. Software quality activities must be carefully integrated into an existing company or business culture. Making informed decisions requires more than knowledge - it calls for experience of what works and what does not work in a given environment. Experienced quality agen

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42

Gallo, Antonella, Alice Lipari, Silvino Di Francesco, et al. "Platelets and Neurodegenerative Diseases: Current Knowledge and Future Perspectives." International Journal of Molecular Sciences 25, no. 12 (2024): 6292. http://dx.doi.org/10.3390/ijms25126292.

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Abstract (sommario):

Platelets have a fundamental role in mediating hemostasis and thrombosis. However, more recently, a new idea is making headway, highlighting the importance of platelets as significant actors in modulating immune and inflammatory responses. In particular, platelets have an important role in the development of vascular amyloid-b-peptide(ab) deposits, known to play a relevant role in Alzheimer’s disease (AD) through accumulation and deposition within the frontal cortex and hippocampus in the brain. The involvement of platelets in the pathogenesis of AD opens up the highly attractive possibility o

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43

Núñez Jareño, Santos J., Daniël P. van Helden, Evgeny M. Mirkes, Ivan Y. Tyukin, and Penelope M. Allison. "Learning from Scarce Information: Using Synthetic Data to Classify Roman Fine Ware Pottery." Entropy 23, no. 9 (2021): 1140. http://dx.doi.org/10.3390/e23091140.

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Abstract (sommario):

In this article, we consider a version of the challenging problem of learning from datasets whose size is too limited to allow generalisation beyond the training set. To address the challenge, we propose to use a transfer learning approach whereby the model is first trained on a synthetic dataset replicating features of the original objects. In this study, the objects were smartphone photographs of near-complete Roman terra sigillata pottery vessels from the collection of the Museum of London. Taking the replicated features from published profile drawings of pottery forms allowed the integrati

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Li, Yen-Huei, Barbara Calcinai, Jiayi Lim, and Christine H. L. Schönberg. "Bioerosion Research in the South China Sea: Scarce, Patchy and Unrepresentative." Oceans 4, no. 1 (2023): 51–67. http://dx.doi.org/10.3390/oceans4010005.

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Abstract (sommario):

Coral reefs are in decline globally, resulting in changed constructive and destructive processes. The South China Sea is a marginal sea that is of high biological importance, but also subjected to extreme local and global pressures. Yet, the regional calcium carbonate dynamics are not well understood, especially bioerosion. A literature search for research on bioerosion and bioeroders in the South China Sea found only 31 publications on bioerosion-related research and 22 biodiversity checklists that contained bioeroders, thus generating a paltry bibliography. Bioerosion research in the South C

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SUGIMOTO, Takashi, and Yotaro TAKANO. "Anchoring effects when knowledge of the target is scarce: A comparison of a semantic model and a numerical model." Japanese Journal of Cognitive Psychology 8, no. 2 (2011): 145–51. http://dx.doi.org/10.5265/jcogpsy.8.145.

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46

Geiser, Céline, Nicolas Ray, Anthony Lehmann, and Sylvain Ursenbacher. "Unravelling landscape variables with multiple approaches to overcome scarce species knowledge: a landscape genetic study of the slow worm." Conservation Genetics 14, no. 4 (2013): 783–94. http://dx.doi.org/10.1007/s10592-013-0474-y.

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47

Kalluri, Kartheek. "ADAPTING LLMs FOR LOW RESOURCE LANGUAGES-TECHNIQUES AND ETHICAL CONSIDERATIONS." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–6. https://doi.org/10.55041/isjem00140.

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Abstract (sommario):

Adaptive large language models (LLMs) to resource-scarce languages and also analyze the ethical considerations involved. Already incorporated the elements of mixed methods. It consists of a literature review, corpus collection, expert interviews, and shareholders meeting. Some adaptation techniques examined in this study are data augmentation, multilingual pre-training, change of architecture, and parameter-efficient fine-tuning. The quantitative analysis indicated model performance improvements for under-resourced languages, particularly through cross-lingual knowledge transfer and data augme

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48

Alma’aitah, Mohammad, Bahman Ghiassi, and Ali Dalalbashi. "Durability of Textile Reinforced Concrete: Existing Knowledge and Current Gaps." Applied Sciences 11, no. 6 (2021): 2771. http://dx.doi.org/10.3390/app11062771.

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Abstract (sommario):

This paper aims to provide a review of the current literature on the durability of textile-reinforced concrete and mortar (TRC/TRM) composites. Most previous studies have focused on the role of chemical attacks, freeze-thaw conditions, and high temperatures on the mechanical performance of these composites. Information on the long-term performance of TRCs under synergistic action of mechanical and environmental loads is scarce. Considering the variety of fabrics and matrices used for the production of TRC composites, the existing data are still very limited and comprehensive studies are needed

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Tannock, T. C. A., and R. F. Cook. "A Case of a Delusional Psychotic Syndrome in the Setting of Werner's Syndrome (Adult Progeria)." British Journal of Psychiatry 152, no. 5 (1988): 703–4. http://dx.doi.org/10.1192/bjp.152.5.703.

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Abstract (sommario):

The literature on Werner's syndrome is scarce, and to our knowledge, no documented evidence is available to substantiate central nervous system involvement in this multisystem disease. We present a case of Werner's syndrome associated with recurrent delusional psychosis in the presence of cognitive impairment and computerised tomography (CT) radiological changes in the posterior cerebral cortex.

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Apellániz, Patricia A., Juan Parras, and Santiago Zazo. "Improving Synthetic Data Generation Through Federated Learning in Scarce and Heterogeneous Data Scenarios." Big Data and Cognitive Computing 9, no. 2 (2025): 18. https://doi.org/10.3390/bdcc9020018.

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Abstract (sommario):

Synthetic Data Generation (SDG) is a promising solution for healthcare, offering the potential to generate synthetic patient data closely resembling real-world data while preserving privacy. However, data scarcity and heterogeneity, particularly in under-resourced regions, challenge the effective implementation of SDG. This paper addresses these challenges using Federated Learning (FL) for SDG, focusing on sharing synthetic patients across nodes. By leveraging collective knowledge and diverse data distributions, we hypothesize that sharing synthetic data can significantly enhance the quality a

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