Academic literature on the topic 'Model informed approach'

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Journal articles on the topic "Model informed approach"

1

Vorobiev, Oleg, Eric Herbold, Souheil Ezzedine, and Tarabay Antoun. "A continuum model for concrete informed by mesoscale studies." International Journal of Damage Mechanics 27, no. 10 (2017): 1451–81. http://dx.doi.org/10.1177/1056789517730884.

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The paper describes a novel computational approach to refine continuum models for penetration calculations which involves two stages. At the first stage, a trial continuum model is used to model penetration into a concrete target. Model parameters are chosen to match experimental data on penetration depth. Deformation histories are recorded at few locations in the target around the penetrator. In the second stage, these histories are applied to the boundaries of a representative volume comparable to the element size in large scale penetration simulation. Discrete-continuum approach is used to
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Madabushi, Rajanikanth, Yaning Wang, and Issam Zineh. "A Holistic and Integrative Approach for Advancing Model‐Informed Drug Development." CPT: Pharmacometrics & Systems Pharmacology 8, no. 1 (2019): 9–11. http://dx.doi.org/10.1002/psp4.12379.

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Hughes, Hilary, Marcus Foth, and Kerry Mallan. "Social living labs for informed learning." Journal of Information Literacy 13, no. 2 (2019): 112. http://dx.doi.org/10.11645/13.2.2641.

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This paper proposes social living labs for informed learning as an innovative approach to interprofessional and community education. It presents a new conceptual model and practice framework suited to rapidly changing, information-intensive work and social environments. The proposed approach is theoretically informed and evidence based. It integrates concepts from three complementary fields: Informed learning as information literacy pedagogy that enables using information critically and creatively to learn (information science); interprofessional education as a professional learning model with
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Koury, Samantha P., and Susan A. Green. "Developing Trauma-Informed Care Champions: A Six-Month Learning Collaborative Training Model." Advances in Social Work 18, no. 1 (2017): 145–66. http://dx.doi.org/10.18060/21303.

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This paper describes a six-month learning collaborative for service providers seeking to implement trauma-informed care (TIC) into their agencies. Although the professional literature on trauma-informed care has grown substantially over the past 10 years, little research has focused on how to effectively train agencies in creating a trauma-informed culture shift. Participants were trained as “TIC champions” to help facilitate the creation of trauma-informed approaches in their agencies. Through a parallel process, they learned the skills for planning and implementing a trauma-informed approach
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Wind, Stefanie A., and A. Adrienne Walker. "A Model‐Data‐Fit‐Informed Approach to Score Resolution in Performance Assessments." Educational Measurement: Issues and Practice 40, no. 3 (2021): 52–63. http://dx.doi.org/10.1111/emip.12427.

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Montgomery, Jacob M., Santiago Olivella, Joshua D. Potter, and Brian F. Crisp. "An Informed Forensics Approach to Detecting Vote Irregularities." Political Analysis 23, no. 4 (2015): 488–505. http://dx.doi.org/10.1093/pan/mpv023.

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Electoral forensics involves examining election results for anomalies to efficiently identify patterns indicative of electoral irregularities. However, there is disagreement about which, if any, forensics tool is most effective at identifying fraud, and there is no method for integrating multiple tools. Moreover, forensic efforts have failed to systematically take advantage of country-specific details that might aid in diagnosing fraud. We deploy a Bayesian additive regression trees (BART) model–a machine-learning technique–on a large cross-national data set to explore the dense network of pot
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Miller, Faye Q. "Experiencing information use for early career academics’ learning: a knowledge ecosystem model." Journal of Documentation 71, no. 6 (2015): 1228–49. http://dx.doi.org/10.1108/jd-04-2014-0058.

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Purpose – The purpose of this paper is to explore the informed learning experiences of early career academics (ECAs) while building their networks for professional and personal development. The notion that information and learning are inextricably linked via the concept of “informed learning” is used as a conceptual framework to gain a clearer picture of what informs ECAs while they learn and how they experience using that which informs their learning within this complex practice: to build, maintain and utilise their developmental networks. Design/methodology/approach – This research employs a
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Khoshkholgh, Sarouyeh, Andrea Zunino, and Klaus Mosegaard. "Informed proposal Monte Carlo." Geophysical Journal International 226, no. 2 (2021): 1239–48. http://dx.doi.org/10.1093/gji/ggab173.

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SUMMARY Any search or sampling algorithm for solution of inverse problems needs guidance to be efficient. Many algorithms collect and apply information about the problem on the fly, and much improvement has been made in this way. However, as a consequence of the No-Free-Lunch Theorem, the only way we can ensure a significantly better performance of search and sampling algorithms is to build in as much external information about the problem as possible. In the special case of Markov Chain Monte Carlo (MCMC) sampling we review how this is done through the choice of proposal distribution, and we
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Jongejan, Ruben, Roshanka Ranasinghe, and Han Vrijling. "A RISK-INFORMED APPROACH TO COASTAL ZONE MANAGEMENT." Coastal Engineering Proceedings 1, no. 32 (2011): 8. http://dx.doi.org/10.9753/icce.v32.management.8.

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Economic and population growth have led to an unprecedented increase in the value at risk in coastal zones over the last century. To avoid excessive future losses, particularly in the light of projected climate change impacts, coastal zone managers have various instruments at their disposal. These primarily concern land-use planning (establishing buffer zones) and engineering solutions (beach nourishment and coastal protection). In this paper, we focus on risk mitigation through the implementation of buffer zones (setback lines). Foregoing land-use opportunities in coastal regions and protecti
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Li, Jerry, Mina Nikanjam, Coleen K. Cunningham, et al. "Model Informed Development of VRC01 in Newborn Infants Using a Population Pharmacokinetics Approach." Clinical Pharmacology & Therapeutics 109, no. 1 (2020): 184–92. http://dx.doi.org/10.1002/cpt.2026.

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