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Relevant bibliographies by topics / SIMILATION

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Journal articles

Academic literature on the topic 'SIMILATION'

Author: Grafiati

Published: 11 September 2023

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Journal articles on the topic "SIMILATION"

1

Vassileva, Bistra, and Moti Zwilling. "Hybrid Warfare Similation-based Learning: Challenges and Opportunities." Information & Security: An International Journal 39, no. 3 (2018): 220–34. http://dx.doi.org/10.11610/isij.3919.

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2

NISHIYAMA, Hideya, Toshiki SHIMIZU, and Takehiko SATO. "Optimization for Arc Ash Melting Process by Numerical Similation." Proceedings of the Symposium on Environmental Engineering 2002.12 (2002): 467–69. http://dx.doi.org/10.1299/jsmeenv.2002.12.467.

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3

Aktu¨rk, Nizami. "The Effect of Waviness on Vibrations Associated Witli Ball Bearings." Journal of Tribology 121, no. 4 (1999): 667–77. http://dx.doi.org/10.1115/1.2834121.

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In this paper, the radial and axial vibrations of a rigid shaft supported by a pair of angular contact ball bearings is studied. The effect of bearing running surface waviness on the vibration of the shaft is investigated. A computer program was developed to simulate inner race, outer race, and rolling surface waviness with the results presented in time and frequency domains. Results obtained from the similation programme are quantatively in good aggrement with various authors’ experimental researches.

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4

Fan, He, Zhang Longjie, and Sun Tao. "Design of Visual Similation System for Carried-Aircraft Recovery Mode Based on AcoreOS." Journal of Physics: Conference Series 1237 (June 2019): 052028. http://dx.doi.org/10.1088/1742-6596/1237/5/052028.

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5

De Biasi, Fabrizio, Carlotta Olivei Maddalena, Alessandro Vergallo, et al. "Factors influencing anesthesiologistsperceived usefulness of ACRM (Anaesthesia Crisis Resources Management) key points after a combined ACLS (AHA)-ACRM similation training." Acta Anaesthesiologica Belgica 73, no. 2 (2022): 75–82. http://dx.doi.org/10.56126/73.2.09.

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Background: The factors that may contribute to learners’ perception about the usefulness of Anaesthesia Crisis Resource Management (ACRM) key points are little known. Objectives: We investigated the link between demographic factors and the effect of an ACRM simulation training on anaesthesiologists’ perceived value of ACRM key points. Design: A prospective pre- and post-test survey from December 2017 to December 2019 of 111 anaesthesiologists involved into a combined ACRM-ACLS course in a simulation centre. Methods: Before and after the course participants were asked to indicate which were, in

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6

Saniel, Bhyren. "similation (I.D.E.A. SCHEME) to Learning Action Cell in Relation to Mental Health of Selected Senior High School Teachers in Plaridel District, Quezon, Philippines." International Education Trend Issues 1, no. 2 (2023): 80–87. http://dx.doi.org/10.56442/ieti.v1i2.183.

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This study determined the proposed Learning Action Cell Scheme based on Introduction, Development, Engagement, and Assimilation in relation to the mental health of the ten selected Senior High School Teachers in Plaridel District, Division of Quezon. Using a researcher-made questionnaire distributed through Google form, it sought answers to the level of stress the Senior High School Teachers in Plaridel Quezon had the response level in the Learning Action Cell (I.D.E.A. pattern) in terms of effectivity, time management, and behavioral aspects, the acceptance level of the Learning Action Cell p

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7

Lucor, Didier, and Olivier P. Le Maître. "Cardiovascular Modeling With Adapted Parametric Inference." ESAIM: Proceedings and Surveys 62 (2018): 91–107. http://dx.doi.org/10.1051/proc/201862091.

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Computational modeling of the cardiovascular system, promoted by the advance of fluid-structure interaction numerical methods, has made great progress towards the development of patient-specific numerical aids to diagnosis, risk prediction, intervention and clinical treatment. Nevertheless, the reliability of these models is inevitably impacted by rough modeling assumptions. A strong in-tegration of patient-specific data into numerical modeling is therefore needed in order to improve the accuracy of the predictions through the calibration of important physiological parameters. The Bayesian sta

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8

노지화. "Knowledge Attitudes Towards Elderly People and Disabled Changing Attitudes Towards UD Assignments After Aging Similation Program Experiential Education: Centered on Architectural Students in 5-year program." Journal of North-east Asian Cultures 1, no. 37 (2013): 543–61. http://dx.doi.org/10.17949/jneac.1.37.201312.031.

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9

Bein, Thomas W., and Woodwerth C. Bein. "Rain sound similator." Journal of the Acoustical Society of America 95, no. 6 (1994): 3688. http://dx.doi.org/10.1121/1.409893.

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10

Dobrova, Victoria V., Vladimir M. Savitsky, Lilia R. Nurtdinova, Olga A. Kistanova, and Natalia V. Ageenko. "Modeling of Semantic Structure of Similative Phraseological Units." SHS Web of Conferences 50 (2018): 01044. http://dx.doi.org/10.1051/shsconf/20185001044.

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The problem of modeling of semantic structure of similative phraseological units is described. With the use of formal meta language SESAME invented for the purposes of the conducted semantic analyses (a meaningful acronym of Standard Events and Situations Artificial Meta-language) on the basis of frame-scenario models, the authors made an attempt to analyze the transferred meaning and in particular the degree of modeling potential, the degree of explicitness / implicitness, the degree of semantic dividedness / integrity and the scale of the denotative area of English similative phraseological

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