Relevant bibliographies by topics / Adaptive work performance

Contents

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

Academic literature on the topic 'Adaptive work performance'

Author: Grafiati
Published: 10 September 2021
Last updated: 11 February 2022

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Journal articles on the topic "Adaptive work performance"

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Park, Yoonhee, Doo Hun Lim, Woocheol Kim, and Hana Kang. "Organizational Support and Adaptive Performance: The Revolving Structural Relationships between Job Crafting, Work Engagement, and Adaptive Performance." Sustainability 12, no. 12 (June 15, 2020): 4872. http://dx.doi.org/10.3390/su12124872.

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This study has two primary purposes: (1) examining the structural relationships between organizational support, job crafting, work engagement, and adaptive performance, and (2) identifying a revolving relationship derived from these relationships. To that end, the research sampled 250 human resources professionals in companies with at least 300 employees in South Korea and employed structural equation modeling. The study’s findings showed that organizational support affects adaptive performance through job crafting and work engagement. In addition, job crafting and adaptive performance mediated the relationship between organizational support and work engagement. Lastly, revolving relationships existed among job crafting, work engagement, and adaptive performance. Our findings make a positive contribution to comprehending the role of adaptive performance in motivating individuals further to craft their jobs creatively. Moreover, it advances our understanding of the complexities of the revolving relationships among job crafting, work engagement, and adaptive performance.
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Wei, Li-Qun, and Chung-Ming Lau. "High performance work systems and performance: The role of adaptive capability." Human Relations 63, no. 10 (May 19, 2010): 1487–511. http://dx.doi.org/10.1177/0018726709359720.

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Marques-Quinteiro, Pedro, and Luís Alberto Curral. "Goal Orientation and Work Role Performance: Predicting Adaptive and Proactive Work Role Performance Through Self-Leadership Strategies." Journal of Psychology 146, no. 6 (November 2012): 559–77. http://dx.doi.org/10.1080/00223980.2012.656157.

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Alamino-Naranjo, Yesica, and Alcion Alonso-Frank. "Indicador de rendimiento laboral del usuario-trabajador de oficina en período de verano de clima templado cálido." Revista Hábitat Sustentable 11, no. 1 (June 30, 2021): 44–57. http://dx.doi.org/10.22320/07190700.2021.11.01.04.

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The purpose of this work was to develop a methodological tool to evaluate office space work performance during the summer period. The proposed tool is an optimal work performance indicator called IRLO, which combines environmental variables on thermal, air quality, visual and acoustic influence. Integrated measurements were run for its development alongside surveys to users-workers of an office building in the city of San Juan - Argentina. The results reveal the preference ranges of each variable, recognizing that in open plan offices, there is a greater environmental adaptive capacity than in closed plan offices. It is concluded, that the indicator stands out by providing a basis to identify work performance considering environmental variables that should, in the future, be considered in the design phase.
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Huang, Jason L., Ann Marie Ryan, Keith L. Zabel, and Ashley Palmer. "Personality and adaptive performance at work: A meta-analytic investigation." Journal of Applied Psychology 99, no. 1 (2014): 162–79. http://dx.doi.org/10.1037/a0034285.

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Jung, EuiYoung, and TaeYoung Han. "The effects of humor behavior on adaptive performance and contribution to team members’ adaptive performance." Korean Journal of Industrial and Organizational Psychology 29, no. 3 (August 31, 2016): 465–89. http://dx.doi.org/10.24230/kjiop.v29i3.465-489.

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The purpose of this study was to examine the effectiveness of humor behavior on adaptive performance and contribution to team members‘ adaptive performance. This study also investigated the mediating role of burnout on the relationships between humor behavior and individual adaptive performance & contribution to team members’ adaptive performance based on the theory of psychological resources. The study conducted a survey research to 152 employees in various organizations who work with their team members. Because this study measured adaptive performance and contribution to team members’ adaptive performance using peer-report method, 118 data collected from the sample were appropriate for analysis. The results of this study showed that affiliative humor behavior was negatively related to burnout while aggressive humor behavior was positively related to burnout. Burnout was negatively related to adaptive performance and contribution to team members’ adaptive performance. In addition, the effects of humor behavior on adaptive performance and contribution to team members’ adaptive performance were fully mediated by the burnout. Finally, the implications and the limitations of this study were discussed, suggesting the directions for future research.
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Noh, Kyungwon, and Jingu Lee. "The Structural Relationship between Empowering Leadership, Work Engagement, and Adaptive Performance." Korean Human Resource Development Strategy Institute 16, no. 1 (March 31, 2021): 143–67. http://dx.doi.org/10.21329/khrd.2021.16.1.143.

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Shahidan, Athifah Najwani, Siti Norasyikin Abdul Hamid, and Fais Ahmad. "Mediating Influence of Work Engagement between Person-Environment Fit and Adaptive Performance." Journal of Business and Social Review in Emerging Economies 4, no. 1 (June 30, 2018): 17–26. http://dx.doi.org/10.26710/jbsee.v4i1.270.

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ABSTRACT Purpose: The purpose of this paper is to propose a conceptual framework on the mediating influence of Work Engagement (WE) on the relationship between Person-Environment Fit (PE fit) and Adaptive Performance (AP) among nurses at the public hospitals in Malaysia. This paper is designed to focus on three PE fit dimensions, which are Person-Job Fit (PJ fit), Person-Group Fit (PG fit), and Person-Supervisor Fit (PS Fit) and its impact to employee’s adaptive performance by using Work Engagement as a mediator. Design/Methodology/Approach: This is a causal study that has used quantitative methodology to draw propositions about the phenomenon under study. Findings: The finding of the study is supported by two theories which are Theory of Performance (ToP) and Social Exchange Theory (SET). It is expected to produce significant relationship between PE Fit and AP by using a mediator of WE. Implications/Originality/Value: The contribution of the study delivers useful information and adds knowledge to the literature pointing to increase their employees’ performance in public sector. For a practical implication, deep focus should be given to the factors that can enhance employees’ performance especially in public sector to ensure the employees in their organization are fully fitted with their working environment, thus can deliver the best service to customers. Social implication from the study is the application of adaptive performance concept will promote a healthy and positive working environment that can contribute to positive and healthy life in social community and practice fast respond to reduce the patients’ complaints regarding staff performance in public hospitals. Keywords : Adaptive Performance, Work Engagement, Person Environment Fit, Person Job Fit, Person Supervisor Fit, Person Group Fit
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Zhang, Ying, Jian Zhang, and Jingjing Li. "The effect of intrinsic and extrinsic goals on work performance." Personnel Review 47, no. 4 (June 4, 2018): 900–912. http://dx.doi.org/10.1108/pr-03-2017-0086.

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Purpose Based on the goal content theory (GCT), the purpose of this paper is to focus on the essence of goals and examine the associations between different work goal contents (intrinsic and extrinsic goals) and work performance. Design/methodology/approach The data were collected from 279 employees and their immediate supervisors, and the theoretical hypotheses were tested by correlation and hierarchal regression analyses. Findings The results of the analyses showed that intrinsic goal content positively predicted task performance, dedicative performance, interpersonal performance, and adaptive performance and that extrinsic goal content positively predicted the task performance and adaptive performance; intrinsic goals were also found to enhance the relationship between extrinsic goals and task performance. Originality/value The contribution of the current study is that it explores whether both extrinsic goals and intrinsic goals can contribute to predicting work performance. Moreover, different from previous studies that focus on discussing the separate effects of intrinsic and extrinsic goals on outcomes, the authors aim to study the interaction effect between these goals, which enriches GCT.
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Radchenko, Aleksander S., and Petr D. Shabanov. "Hyperoxia and hypoxia influence to adaptive processes at muscular work." Reviews on Clinical Pharmacology and Drug Therapy 16, no. 3 (December 15, 2018): 68–77. http://dx.doi.org/10.17816/rcf16368-77.

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In this brief review we will state the use of hyperoxia (HO) in sports training. HO training has been recommended by some authors for athletes to increase their performance. Herewith, there is no reliable knowledge about physiology mechanisms that provides the athlete level of growth during long-term training under HO conditions. Concurrently in the last half century, the athletes’ performance in endurance sports has grown remarkably due to natural and artificial hypoxia application in training process of many kinds of sports. Long-term adaptation mechanisms to muscular work under hypoxia conditions are shortly summarized for comparison with HO effects and we emphasized that the prospectivity of searching the ways for regular usage HO to increase athletic performance is too questionable.
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Dissertations / Theses on the topic "Adaptive work performance"

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Rankin, Amy. "Resilience in High Risk Work : Analysing Adaptive Performance." Licentiate thesis, Linköpings universitet, Interaktiva och kognitiva system, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-90726.

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In today’s complexsocio-technical systems it is not possible to foresee and prepare for allfuture events. To cope with the intricacy and coupling between people,technical systems and the dynamic environment people are required tocontinuously adapt. To design resilient systems a deepened understanding ofwhat supports and enables adaptive performance is needed. In this thesis two studiesare presented that investigate how adaptive abilities can be identified andanalysed in complex work settings across domains. The studies focus onunderstanding adaptive performance, what enables successful adaptation and how contextual factors affect the performance. The first study examines how acrisis command team adapts as they lose important functions of their teamduring a response operation.  The secondstudy presents a framework to analyse adaptive behaviour in everyday work wheresystems are working near the margins of safety. The examples that underlie theframework are based on findings from focus group discussion withrepresentatives from different organisations, including health care, nuclear,transportation and emergency services. Main contributions of this thesis includethe examination of adaptive performance and of how it can be analysed as ameans to learn about and strengthen resilience. By using contextual analysis enablersof adaptive performance and its effects the overall system are identified. Theanalysis further demonstrates that resilience is not a system property but aresult of situational circumstances and organisational structures. Theframework supports practitioners and researchers in reporting findings,structuring cases and making sense of sharp-end adaptations. The analysismethod can be used to better understand system adaptive capacities, monitoradaptive patterns and enhance current methods for safety management.
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Johnstone, Rhys. "The relationship between mindfulness and individual adaptability in a dynamic workplace." Diss., University of Pretoria, 2018. http://hdl.handle.net/2263/71700.

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Purpose. Individual adaptability has been proposed as a source of adaptive performance, an increasingly important performance dimension in dynamic contexts. However, there is limited understanding of the antecedents of adaptability. Mindfulness has been shown to improve performance and well-being in the workplace, but the underlying mechanisms of this relationship are not well understood. Answering this need, we hypothesize a link between mindfulness and adaptability and conduct an empirical study to examined this relationship in dynamic work contexts. Methodology and findings. 198 knowledge workers in dynamic workplaces completed a self-rating survey that measured mindfulness and a multifactor measure of individual adaptability. Correlation analysis found a significant positive relationship between mindfulness and individual adaptability, and also between mindfulness and five sub-factors of adaptability. Regression analysis found mindfulness could significantly predict adaptability and that mindfulness added incremental variability to various sub-scale factors of adaptability, over and above work stress adaptability. In other words, mindfulness is not simply a stress management skill but also enhances other aspects of adaptability such as learning and problem-solving. Implications. Individual adaptability helps to explain the relationship between mindfulness, performance and well-being in the workplace. Mindfulness-Based Interventions (MBIs) have established protocols and proven outcomes in organizational and psychological literature. It may be possible to enhance individual adaptability through such MBIs and thus support adaptive performance while reducing negative impacts on individual well-being.
Mini Dissertation (MBA)--University of Pretoria, 2018.
pt2019
Gordon Institute of Business Science (GIBS)
MBA
Unrestricted
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Schraub, Eva Maria [Verfasser], and Karlheinz [Akademischer Betreuer] Sonntag. "Affect at Work - The Impact of Emotion Regulation on Employees’ Well-being, Proactive and Adaptive Performance / Eva Maria Schraub ; Betreuer: Karlheinz Sonntag." Heidelberg : Universitätsbibliothek Heidelberg, 2011. http://d-nb.info/1179229983/34.

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Santos, Rúben José Ventura. "A relação entre liderança, satisfação com o trabalho e desempenho : um estudo do setor da saúde em Portugal." Master's thesis, Instituto Superior de Economia e Gestão, 2018. http://hdl.handle.net/10400.5/15913.

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Mestrado em Ciências Empresariais
O setor da saúde português enfrenta um desafio de retenção de colaboradores e motivação da força de trabalho devido ao desinvestimento que se tem assistido desde o início da recessão económica iniciada em 2009. Trabalhadores satisfeitos apresentam menos intenções de abandonar a organização o que se traduz em menos número de acidentes, menor absentismo e pacientes mais satisfeitos. Este estudo testa o efeito mediador da satisfação com o trabalho na relação entre a liderança transformacional e o desempenho adaptativo. O estudo utiliza uma amostra de 192 colaboradores de empresas do setor da saúde português. O teste do modelo utiliza Partial Least Squares (PLS). Os resultados demonstraram que a liderança transformacional influencia positiva e significativamente o desempenho adaptativo sendo esta relação mediada de forma total pela satisfação com o trabalho.
Portuguese healthcare sector faces the challenge of retaining employees and workforce motivation due to the disinvestment they have been attended since the economic recession started in 2009. Satisfied employees present less intention to leave the organization and that translates into less accidents, less absenteeism and more satisfied patients. This study tests the mediating effect of job satisfaction on the relationship between transformational leadership and adaptive work performance. The study uses a sample of 192 employees of Portuguese healthcare organizations. The research model uses Partial Least Squares (PLS). The results show that job satisfaction fully mediates the relationship between transformational leadership and adaptive work performance.
info:eu-repo/semantics/publishedVersion
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Fago, Felicia J. "Impact of Prenatal Alcohol Exposure and Pre-adoption Placement on School-age Functioning of Intercountry-Adopted Children." Case Western Reserve University School of Graduate Studies / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=case1333558274.

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Hottmar, Jiří. "Motivace zaměstnanců skladové logistiky v mrazírenském zařízení ve společnosti HOPI s. r. o." Master's thesis, Vysoká škola ekonomická v Praze, 2015. http://www.nusl.cz/ntk/nusl-264282.

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The thesis focuses on an evaluation of an employee motivation scheme in a cold storage at HOPI s.r.o. The main objective is to propose recommendations in order to improve the employee motivation scheme. The thesis predominantly focuses on the ordinary warehouse workers (picker, handler, truck drivers, etc.). The scheme has set objectives that are met in the context of the logistics environment, which itself, is characterised by certain specifics. To reach the objective, I conducted a survey of employee satisfaction, surveys within recruitment agencies and interviews with the HOPI warehouse workers. The practical part of the work is based on the internal documentation of HOPI, as well as the information provided by the representatives of the recruitment agencies.
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Lee, Wen Ning, and 李文寧. "The relationship between organizational commitment and adaptive performance – The moderators of work value and organizational culture." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/54401208049014135381.

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碩士
長庚大學
工商管理學系
100
This study examined the relationship between organizational commitment and adaptive performance in which work value and organizational culture as moderators. Respondents were collected from graduates of universities or graduate school in 98 school year. 100 usable data was obtained through two stages questionnaire. Results indicated that organizational commitment is positively related to adaptivity and proactivity . And effort commitment is positively related to proactivity. The impact of organizational commitment on adaptive performance was moderated by external reward. Also, the impact of organizational commitment on adaptivity was moderated both by internal reward and external reward. The impact of effort commitment on proactivity was moderated by external reward. And the impact of organizational commitment on adaptive performance wasn’t moderated by organizational culture. The impact of organizational commitment and proactivity was moderated both by supportive culture and innovative culture. Also, the impact of effort commitment and proactivity was moderated both by supportive culture and innovative culture. This study suggests that managers can enhance adaptive performance of employees by enhance organizational commitment, and strengthen the relationship between organizational commitment and adaptive performance through meet the external reward.
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Crowley, Megan L. "Predicting Job Adaptability: A Facet-Level Examination of the Relationship Between Conscientiousness and Adaptive Performance with Autonomy as a Moderator." Thesis, 2012. http://hdl.handle.net/1805/2921.

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Indiana University-Purdue University Indianapolis (IUPUI)
Change has become a prevalent feature of today’s organizations, resulting in an increased demand for workers who are able to adapt to the dynamic nature of the environment. Recently, many have suggested that traditional models of job performance should be expanded to include an adaptive performance dimension. Research in this relatively new domain has focused on defining adaptive performance and understanding how it may be predicted. This study contributes to these efforts by testing the personality trait of conscientiousness as a predictor of adaptive performance, with both constructs being studied at their domain and facet levels. The incremental validity of conscientiousness over cognitive ability is also examined, and autonomy is investigated as a moderator of the conscientiousness-adaptive performance relationships. A sample of 212 undergraduate students who work at least 20 hours per week participated in the study by completing an online survey and a cognitive ability assessment. Conscientiousness was supported as a good predictor of adaptive performance overall. However, the predictor-outcome results did vary over the domain and facet levels, emphasizing the importance of studying both levels. At the two-facet level of conscientiousness, the achievement motivation facet was shown to have stronger relationships with the adaptive performance dimensions compared to the dependability facet. At the six-facet level of conscientiousness, the three achievement motivation facets and one dependability facet (i.e., dutifulness) were significantly related to all eight performance dimensions, but the other two dependability facets (i.e., orderliness and cautiousness) were not significantly related to all of the adaptive performance dimensions. Conscientiousness did provide significant incremental validity over cognitive ability at the domain level and for almost all of the facet-level relationships, but cognitive ability was not related to adaptive performance or any other study variables. Autonomy was supported as a moderator with 16 significant interactions uncovered at the facet level. However, these significant interactions only involved three (i.e., interpersonal, learning, and cultural) of the eight adaptive performance dimensions. Overall, these results supported the conscientiousness-adaptive performance relationship and contributed new findings to the adaptive performance domain that have implications for employee selection and performance management.
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Mphokane, Adelaide. "The predictive validity of learning potential and English language proficiency for work performance of candidate engineers." Diss., 2014. http://hdl.handle.net/10500/14410.

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The aim of this research was (1) to provide empirical data of learning potential and English language proficiency for work performance; (2) to establish whether race and gender influence work performance; (3) to evaluate practical utility and to propose recommendations for selection purposes. The Learning Potential Computerised Adaptive Test and the English Literacy Skills Assessment were used as measuring instruments to measure learning potential and English language proficiency respectively. Work performance data were obtained from the normal performance data system of the company where the research was conducted. ANOVA results showed differences between race and gender groupings. A regression analysis confirmed the predictive validity of learning potential and English language proficiency on work performance. The Spearman rho correlation coefficient (p < 0.05) showed a significant positive correlation between the investigated variables
Industrial & Organisational Psychology
M. A. (Industrial & Organisational Psychology)
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Schoeman, Adele. "The relationship between learning potential, English language proficiency and work-related training test results." Diss., 2002. http://hdl.handle.net/10500/770.

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Continuous change and competition in the working environment necessitate increased efficiency and productivity which require different and enhanced skills and abilities. It is therefore important that the right people with the right skills are selected and employees are developed to enable them to meet the organisational and national demands of the future. This dissertation investigates the relationship between learning potential, English language proficiency and work-related training test results to establish why some production employees perform better on work-related training test results than others. The results indicate that there is no significant relationship between the work-related training test results and either learning potential or English language proficiency. There is, however, a significant correlation between learning potential and English language proficiency. It might be worthwhile exploring the availability and adequacy of assessors as well as the motivational level of the production employees as factors that influence the progress made with work-related training test results.
Industrial and Organisational Psychology
MCOM (Industrial Psychology)
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Books on the topic "Adaptive work performance"

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IEEE International Symposium on High Performance Distributed Computing (16th 2007 Monterey, California). Proceedings of the HPDC 2007 Symposium & co-located workshops: CLADE'07, GMW'07, SOCP'07, UPGRADE-CN'07, & WORKS'07 : June 25-29, 2007, Monterey, California, USA. New York: Association for Computing Machinery, 2007.

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Carpini, Joseph A., and Sharon K. Parker. The Bigger Picture: How Organizational Citizenship Behaviors Fit Within a Broader Conceptualization of Work Performance. Edited by Philip M. Podsakoff, Scott B. Mackenzie, and Nathan P. Podsakoff. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190219000.013.3.

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Scholars have identified numerous forms of individual work performance, including core task, adaptive, proactive, and citizenship. Although the diversity of performance constructs has contributed to breadth, it has also resulted in a fragmented literature that, at times, operates in theoretical silos. As such, the overarching purpose of this chapter is to consider how organizational citizenship behavior (OCB) constructs relate to, and can fit within, broader models of individual work performance. We begin with a brief history of work performance concepts and review five integrative models of individual performance, culminating with the presentation of the Griffin, Neal, and Parker (2007) model. We use the latter to assess systematically whether and how OCB concepts relate to other performance concepts. We highlight constructs that fit readily within the Griffin et al. framework, in addition to constructs that do not. We conclude with five recommendations.
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Hesketh, Beryl, and Barbara Griffin. Selection and Training for Work Adjustment and Adaptability. Edited by Susan Cartwright and Cary L. Cooper. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780199234738.003.0016.

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This article outlines a conceptual framework for integrating recent developments in understanding the individual difference variables that directly influence and interact with situational variables in optimizing work adjustment and adaptive performance. It begins by outlining the components of the Theory of Work Adjustment, including an explanation of the dynamic aspects of the theory. A particular focus of the framework is on the dynamic attainment of achievement goals and the role that information and communication technology (ICT) can play when there is a turbulent and changing set of situational factors and job requirements. The article takes a futuristic approach and challenges the readers to consider the implications of the rapidly developing field of ICT for traditional models of selection and training.
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Adamou, Marios. Adult ADHD and employment. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198739258.003.0018.

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ADHD affects in a distinctive way the employment of service users. This can range from their choice of work, work performance, fitness for work, and requirements for adjustments to the workplace. Task performance, contextual performance, counterproductive work behaviour, and adaptive performance have been linked behind this impairment, and the fitness to work assessment needs to consider both the person with ADHD and the specific job the person is doing. The most evidence-based workplace intervention is treatment of ADHD with medication, although other strategies can be helpful. This, however, does not apply to every person with ADHD and many people are successfully employed.
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Eldridge, Alice, and Oliver Bown. Biologically Inspired and Agent-Based Algorithms for Music. Edited by Roger T. Dean and Alex McLean. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190226992.013.18.

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This chapter examines a range of approaches to algorithmic music making inspired by biological systems, and considers topics at the intersection of contemporary music, computer science, and computational creativity. A summary of core precursor movements both within and beyond musical practice (A Life, cybernetics, systems art, etc.) sets the scene, before core models and algorithms are introduced and illustrated. These include evolutionary algorithms, agent-based modelling and self-organizing systems, adaptive behaviour and interactive performance systems, and ecosystemic approaches to composition and computational creative discovery. The chapter closes by reviewing themes for future work in this area: autonomy and agency, and the poetics of biologically inspired algorithms.
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Erickson, Kristin. Performing Algorithms. Edited by Roger T. Dean and Alex McLean. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190226992.013.32.

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The chapter considers algorithmic music as the ‘sonification’ of algorithms, a term coined by Carla Scaletti to describe the mapping of numerically represented relations in some domain to relations in an acoustic domain. The chapter looks at the range of ways this concept has been used by the author in composing her works. The chapter identifies isomorphic relationships between algorithms and collaboration, music, and performance, and extends the boundary of the computer to include systems of people and sound. The definition of music and performance is extended to include process, rules, machines, and execution. Examples discussed include performing a bubble sort, pandemic performances (using principles of complex adaptive systems), Mandelbrot music, and M.T.Brain/Telebrain, which send complex algorithmic instructions to multiple performers in real time.
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Ferguson, Robert, and Karen Gillock. Memory and Attention Adaptation Training. Oxford University Press, 2021. http://dx.doi.org/10.1093/med/9780197521571.001.0001.

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Memory and Attention Adaptation Training (MAAT) is a cognitive-behavioral therapy (CBT) designed to help cancer survivors self-manage and mitigate the late and long-term effects of cancer and cancer therapy on memory function. Cancer-related cognitive impairment (CRCI) is a set of mild to moderate memory and attention impairments that can have an adverse influence on quality of life. CRCI symptoms tend to present during active treatment, but for some individuals cognitive changes can persist for years. While the exact prevalence of CRCI is unknown, review of the literature estimates that nearly half of all survivors may experience some form of CRCI. Causes of CRCI are multiple and are the subject of continued research. Chemotherapy, genetic vulnerability, neurovascular damage, inflammation, and hormonal/endocrine disruption have all been identified as candidate mechanisms of persistent cognitive change. Given the multiple causal mechanisms, finding a biomedical treatment for CRCI remains elusive. MAAT was developed as a CBT to help cancer survivors make adaptive behavioral and cognitive changes to improve performance in the valued activities that CRCI hinders. MAAT consists of eight visits and has been designed for administration through telehealth technology, improving access to survivorship care that so many cancer survivors may lack after the time and expense of cancer treatment. Survivors are provided a workbook they can use to work with their clinician and to reinforce learning and adaptive coping. This clinician manual guides the clinician step by step on MAAT administration and provides background on the theoretical underpinnings of CRCI and MAAT.
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Houlahan, Mark. Unsettling the Bard. Edited by Michael Neill and David Schalkwyk. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780198724193.013.48.

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This article examines the cultural influence of William Shakespeare’s tragedies on Australasia and the Pacific. To this end, it analyses a range of live and filmed performances, along with the adaptive responses of writers, audiences, and critics to the tragedies. It begins by considering the presence of Shakespeare’s Complete Works on Captain James Cook’s Endeavour when it sailed the Pacific in 1769–1770 before turning to the first recorded Australian Shakespeare: a staging of Henry IV in Robert Sidaway’s Sydney theatre in 1800. It then looks at other works such as those by Charles and Ellen Kean, Ngaio Marsh, and John Bell as well as works that have become part of Australasian literature, including Randolph Stow’s Lear-themed 1958 novel To the Island. It also discusses a number of adaptations of Shakespearean tragedy and concludes with a commentary on Australasian and Pacific responses to tragedy that were generated by—or reflecting the perspectives of—indigenous populations.
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Bahrami, Bahador. Making the most of individual differences in joint decisions. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198789710.003.0004.

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Evidence for and against the idea that “two heads are better than one” is abundant. This chapter considers the contextual conditions and social norms that predict madness or wisdom of crowds to identify the adaptive value of collective decision-making beyond increased accuracy. Similarity of competence among members of a collective impacts collective accuracy, but interacting individuals often seem to operate under the assumption that they are equally competent even when direct evidence suggest the opposite and dyadic performance suffers. Cross-cultural data from Iran, China, and Denmark support this assumption of similarity (i.e., equality bias) as a sensible heuristic that works most of the time and simplifies social interaction. Crowds often trade off accuracy for other collective benefits such as diffusion of responsibility and reduction of regret. Consequently, two heads are sometimes better than one, but no-one holds the collective accountable, not even for the most disastrous of outcomes.
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Tuite, Cl´ıodhna, Michael O’Neill, and Anthony Brabazon. Economic and Financial Modeling with Genetic Programming. Edited by Shu-Heng Chen, Mak Kaboudan, and Ye-Rong Du. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199844371.013.10.

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This chapter focuses on genetic programming (GP), a stochastic optimization and model induction technique. An advantage of GP is that the modeler need not select the exact parameters to be used in the model beforehand. Rather, GP can effectively search a complex model space defined by a set of building blocks specified by the modeler. This flexibility has allowed GP to be used for many applications. The chapter reviews some of the most significant developments using GP: forecasting, stock selection, derivative pricing and trading, bankruptcy and credit risk assessment, and agent-based and economic modeling. Conclusions reached by studies investigating similar problems do not always agree; however, GP has proved useful across a wide range of problem areas. Recent and future work is increasingly concerned with adapting genetic programming to more dynamic environments and ensuring that solutions generalize robustly to out-of-sample data, to further improve model performance.
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Book chapters on the topic "Adaptive work performance"

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Isaksson, Erik, Ambjörn Naeve, and Paul Lefrère. "Performance Augmentation Through Ubiquitous and Adaptive Learning and Work Environments." In State-of-the-Art and Future Directions of Smart Learning, 315–19. Singapore: Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-287-868-7_39.

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Röchert, Daniel, German Neubaum, and Stefan Stieglitz. "Identifying Political Sentiments on YouTube: A Systematic Comparison Regarding the Accuracy of Recurrent Neural Network and Machine Learning Models." In Disinformation in Open Online Media, 107–21. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61841-4_8.

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Abstract Since social media have increasingly become forums to exchange personal opinions, more and more approaches have been suggested to analyze those sentiments automatically. Neural networks and traditional machine learning methods allow individual adaption by training the data, tailoring the algorithm to the particular topic that is discussed. Still, a great number of methodological combinations involving algorithms (e.g., recurrent neural networks (RNN)), techniques (e.g., word2vec), and methods (e.g., Skip-Gram) are possible. This work offers a systematic comparison of sentiment analytical approaches using different word embeddings with RNN architectures and traditional machine learning techniques. Using German comments of controversial political discussions on YouTube, this study uses metrics such as F1-score, precision and recall to compare the quality of performance of different approaches. First results show that deep neural networks outperform multiclass prediction with small datasets in contrast to traditional machine learning models with word embeddings.
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Hughes, Jack, and Dominic Orchard. "Resourceful Program Synthesis from Graded Linear Types." In Logic-Based Program Synthesis and Transformation, 151–70. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68446-4_8.

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AbstractLinear types provide a way to constrain programs by specifying that some values must be used exactly once. Recent work on graded modal types augments and refines this notion, enabling fine-grained, quantitative specification of data use in programs. The information provided by graded modal types appears to be useful for type-directed program synthesis, where these additional constraints can be used to prune the search space of candidate programs. We explore one of the major implementation challenges of a synthesis algorithm in this setting: how does the synthesis algorithm efficiently ensure that resource constraints are satisfied throughout program generation? We provide two solutions to this resource management problem, adapting Hodas and Miller’s input-output model of linear context management to a graded modal linear type theory. We evaluate the performance of both approaches via their implementation as a program synthesis tool for the programming language Granule, which provides linear and graded modal typing.
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Bednall, Timothy C., and Matthew D. Henricks. "Adaptive Performance." In Global Perspectives on Change Management and Leadership in the Post-COVID-19 Era, 71–89. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-6948-1.ch005.

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COVID-19 has prompted an urgent need for organisations to adapt to continuously changing circumstances. Given the unpredictable challenges, a traditional, tightly planned approach to managing episodic change is likely to be suboptimal. Based on the need to manage continuous change and ensure workplaces are prepared for further unexpected events, it is argued that developing employees' adaptive performance is a better approach. Drawing on the literature identified in Park and Park's recent review of adaptive performance and its antecedents, the authors conduct a parallel review of the managerial implications of these findings. Findings are organised into sections related to employee selection, training, work design, leader behaviour, and organisational climate. Each practical recommendation is reviewed in terms of its feasibility of implementation and likely effectiveness.
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Sottilare, Robert, and Stephen Goldberg. "Examining the Influence of Adaptive Instructional Techniques on Human Performance for Tasks Conducted in Extremely Stressful Work Environments." In Human Performance Optimization, 333–55. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190455132.003.0015.

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This chapter examines the potential benefits of computer-based adaptive instruction to human performance during the training of tasks usually conducted in extremely stressful work environments (e.g., law enforcement, firefighting, emergency medicine, or combat) that often include time, performance, and safety stressors. Adaptive instruction is training in which a computer-based intelligent tutoring system tailors its interaction with the learner to optimize learning and adapts the training environment (e.g., simulation) to maintain challenge level and flow. The design goal of adaptive instruction for tasks in extreme environments is to influence knowledge and skill acquisition to the point where the learner can successfully perform the expected tasks during training and then successfully transfer those skills to the work environment and perform regardless of the conditions. This chapter includes recommendations for representing and adapting work environment stressors during adaptive instruction to optimize learning and transfer of skills and is written for training developers.
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Miranda, Eduardo. "Milestone-Driven Agile Execution." In Advances in Systems Analysis, Software Engineering, and High Performance Computing, 1–27. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-4165-4.ch001.

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This chapter introduces a hybrid software development framework, called Milestone-Driven Agile Execution, in which the empirical process control and the just-in-time planning of tasks of agile development are retained but the prioritization of the backlog is done according to a macro or strategic plan that drives the execution of the project. Selecting work items from the product backlog according to a plan instead of following the immediate concerns of a product owner adds visibility, predictability, and structure to the work of the team while preserving the adaptive advantages of agile development.
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ALAM, TAJ, PARITOSH DUBEY, and ANKIT KUMAR. "Adaptive Threshold Based Scheduler for Batch of Independent Jobs for Cloud Computing System." In Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing, 2246–66. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-5339-8.ch110.

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Distributed systems are efficient means of realizing high-performance computing (HPC). They are used in meeting the demand of executing large-scale high-performance computational jobs. Scheduling the tasks on such computational resources is one of the prime concerns in the heterogeneous distributed systems. Scheduling jobs on distributed systems are NP-complete in nature. Scheduling requires either heuristic or metaheuristic approach for sub-optimal but acceptable solutions. An adaptive threshold-based scheduler is one such heuristic approach. This work proposes adaptive threshold-based scheduler for batch of independent jobs (ATSBIJ) with the objective of optimizing the makespan of the jobs submitted for execution on cloud computing systems. ATSBIJ exploits the features of interval estimation for calculating the threshold values for generation of efficient schedule of the batch. Simulation studies on CloudSim ensures that the ATSBIJ approach works effectively for real life scenario.
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Chen, Sheng. "Adaptive Beamforming Assisted ReceiverAdaptive Beamforming." In Handbook on Advancements in Smart Antenna Technologies for Wireless Networks, 60–81. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-59904-988-5.ch003.

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Adaptive beamforming is capable of separating user signals transmitted on the same carrier frequency, and thus provides a practical means of supporting multiusers in a space-division multiple-access scenario. Moreover, for the sake of further improving the achievable bandwidth efficiency, high-throughput quadrature amplitude modulation (QAM) schemes have become popular in numerous wireless network standards, notably, in the recent WiMax standard. This contribution focuses on the design of adaptive beamforming assisted detection for the employment in multiple-antenna aided multiuser systems that employ the high-order QAM signalling. Traditionally, the minimum mean square error (MMSE) design is regarded as the state-of-the-art for adaptive beamforming assisted receiver. However, the recent work (Chen et al., 2006) proposed a novel minimum symbol error rate (MSER) design for the beamforming assisted receiver, and it was demonstrated that this MSER design provides significant performance enhancement, in terms of achievable symbol error rate, over the standard MMSE design. This MSER beamforming design is developed fully in this contribution. In particular, an adaptive implementation of the MSER beamforming solution, referred to as the least symbol error rate algorithm, is investigated extensively. The proposed adaptive MSER beamforming scheme is evaluated in simulation, in comparison with the adaptive MMSE beamforming benchmark.
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Khan, Laiq, and Rabiah Badar. "Hybrid Adaptive NeuroFuzzy Bspline Based SSSC Damping Control Paradigm." In Handbook of Research on Novel Soft Computing Intelligent Algorithms, 787–828. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4450-2.ch026.

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This work explores the potential of Bspline based Adaptive NeuroFuzzy Wavelet control to damp low frequency power system oscillations using Static Synchronous Series Compensator (SSSC). A comparison of direct and indirect adaptive control based on Hybrid Adaptive Bspline Wavelet Control (ABSWC) is presented by introducing the online identification block. ABSWC with Identification (ABSWCI) provides the sensitivity information of the plant to control system. The parameters of the control and identification block are updated online using gradient descent based back propagation algorithm. The robustness of the proposed control algorithm has been evaluated for local and inter-area modes of oscillations using different faults. The nonlinear time domain simulation results have been analyzed on the basis of different performance indices and time-frequency representation showing that ABSWC effectively damps low frequency oscillations and incorporation of online identification optimizes the control system performance in terms of control effort which reduces the switching losses of the converter.
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Shah, Apurva. "Adaptive Scheduling for Real-Time Distributed Systems." In Advances in Data Mining and Database Management, 236–48. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-6078-6.ch011.

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Biologically inspired data mining techniques have been intensively used in different data mining applications. Ant Colony Optimization (ACO) has been applied for scheduling real-time distributed systems in the recent time. Real-time processing requires both parallel activities and fast response. It is required to complete the work and deliver services on a timely basis. In the presence of timing, a real-time system's performance does not always improve as processor and speed increases. ACO performs quite well for scheduling real-time distributed systems during overloaded conditions. Earliest Deadline First (EDF) is the optimal scheduling algorithm for single processor real-time systems during under-loaded conditions. This chapter proposes an adaptive algorithm that takes advantage of EDF- and ACO-based algorithms and overcomes their limitations.
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Conference papers on the topic "Adaptive work performance"

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Hou, Dandan, Yandan Lin, and Minchen Wei. "AN ADAPTIVE DISPLAY DIMMING CURVE FOR ENHANCED WORK PERFORMANCE AND VISUAL COMFORT." In CIE 2018. International Commission on Illumination, CIE, 2018. http://dx.doi.org/10.25039/x45.2018.op14.

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Merced, Emmanuelle, Jun Zhang, Xiaobo Tan, and Nelson Sepúlveda. "Characterization of Work per Volume Density of VO2-Based MEMS Actuators." In ASME 2012 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/smasis2012-7919.

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Vanadium dioxide (VO2)-coated silicon microcantilevers have gained attention due to the large stress produced during VO2’s thermally induced metal-to-insulator phase transition, which produces a curvature change of over ∼2,000 m−1. Work per volume density is an important figure of merit used to compare the performance of smart materials in micro-actuation. In this paper, the work per volume density of five fully actuated VO2-coated microcantilevers was calculated based on experimentally measured force vs. displacement curves obtained from an AFM operated in contact mode. The work per volume density for the five microactuators was found to be similar, which is around ∼1.5×104 J/m3. The work per volume density of a single microactuator was also obtained under different temperatures across the material’s transition, which exhibits the hysteretic behavior during the heating-cooling cycle.
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O’Brien, Daniel J., Daniel M. Baechle, and Eric D. Wetzel. "Performance Metrics for Structural Composite Capacitiors." In ASME 2010 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. ASMEDC, 2010. http://dx.doi.org/10.1115/smasis2010-3873.

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In previous efforts, structural composite capacitors were developed using off-the-shelf starting materials and conventional composites processing techniques [1]. Assuming a stiffness-driven design we showed that while these devices may not perform individual structural or energy storage functions as well as their conventional monofunctional counterparts, on a system level they perform these functions efficiently enough to save mass. In this work we examine the efficacy of these structural capacitors in saving mass for a strength-based design. We also consider the multifunctional performance assuming a stiffness-driven design in which the goal is to save overall system volume. Experiments and analysis show that the best-performing structural capacitors simultaneously reduce overall system mass and volume.
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Ciocanel, Constantin, The Nguyen, Christopher Schroeder, and Mohammad H. Elahinia. "Performance of an Adaptive Magnetorheological Fluid Mount." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-43098.

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The paper investigates the response of a magnetorheological (MR) fluid based mount that combines the squeeze and flow modes in operation. The mount governing equations are introduced and the effect of system parameters on its performance is analyzed. The proposed design yields a high static and a low dynamic stiffness in the working frequency range of the mount. The overall vibration isolation characteristic of the mount is enhanced if compared to that of existing hydraulic mounts. Displacement and/or force transmissibility can be isolated or significantly reduced, in real time, by controlling the MR fluid yield stress. An embedded electromagnet is used to activate the MR fluid that can work in either squeeze or flow modes, or in both simultaneously. The results indicate that the flow mode is less effective in reducing transmissibility than the squeeze mode. However, when the flow and squeeze modes are both activated, the effect of the flow mode becomes more obvious.
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von Lockette, Paris. "Fabrication and Performance of Magneto-Active Elastomer Composite Structures." In ASME 2014 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/smasis2014-7590.

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This works discusses the use of magneto-active elastomer (MAE) as an active material for use in origami engineering and other applications where transformation of a composite structure between target shapes is desired. Magneto-active elastomer, as the name implies, consists of magnetic powders dispersed in an elastomer (polymer) fluid which is subsequently cured in the presence of a magnetic field to produce a net remanent magnetization in the cured solid. Having their own internal magnetization, MAE materials are affected by both magnetic forces, due to gradients in local field, as well as magnetic torques resulting from the cross product of the field and the magnetization. In this fashion, patches of MAE material, distributed throughout a non-magnetic elastomeric structure, act as distributed actuators producing deformed shapes. The use of rare-Earth magnets as the magnetic actuation elements is also investigated. The work highlights experimental efforts to develop structures with integrated MAE patches and rare-Earth magnets of varying magnetization orientations using multi-step casting processes and 3D printing techniques. Initial results show success at generating active structures having locally oriented MAE patches and magnets in accordion, water bomb and and Miru fold patterns.
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Dogan, K. Merve, Tansel Yucelen, and Jonathan A. Muse. "Further Results on Performance Guarantees in Adaptive Control of Uncertain Systems With Unmodeled Dynamics." In ASME 2020 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/dscc2020-3111.

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Abstract Adaptive control approaches are effective system-theoretical methods for guaranteeing both the stability and the performance of physical systems subject to uncertainties. However, the stability and performance of these approaches can be severely degraded by the presence of unmodeled dynamics. Motivated by this standpoint, the previous work of the authors introduced a model reference adaptive control architecture based on the direct uncertainty minimization method for systems with additive input uncertainties and unmodeled dynamics. In particular, the proposed approach not only guaranteed the closed-loop stability predicated on a sufficient stability condition but also improved the closed-loop performance. The purpose of this paper is to generalize this previous work of the authors. Specifically, a model reference adaptive control architecture is given and it is system-theoretically analyzed for systems with unmodeled dynamics, and both additive input and control effectiveness uncertainties (we refer to Theorems 1 and 2 of this paper). The sufficient stability condition of the resulting architecture relies on linear matrix inequalities and this architecture can be effective in achieving not only stability but also a desired level of closed-loop system performance. Finally, we also provide an illustrative numerical example, which demonstrates the given theoretical results. (This research was supported by the Air Force Research Laboratory Aerospace Systems Directorate under the Universal Technology Corporation Grant 162642-20-25-C1.)
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Jahani, Kamal, and Parisa Aghazadeh. "Joint Characteristic Effect on the Performance of Nonlinear Piezoelectric Energy Harvesters." In ASME 2016 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/smasis2016-9015.

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In this work, the effects of joint characteristics on the performance of a nonlinear piezoelectric energy harvester are investigated numerically. Large amplitude deflection unimorph beam with a tip mass and a nonlinear piezoelectric layer is considered as an energy harvester. By applying Euler-Lagrange equation and the Gauss’s law, mechanical and electrical equations of motion are obtained respectively, under two scenarios, i.e. with an ideal (rigid) joint and with a flexible one. A numerical approach is followed to investigate the effects of each nonlinear parameter of the harvester (stiffness, damping and piezoelectric coefficient) on harvested power. Results show that considering ideal joint between harvester and base structure leads to overestimating the maximum output power and the range of effective excitation frequency.
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Dupuis, Eric D., Ayyoub M. Momen, Viral K. Patel, and Shima Shahab. "Ultrasonic Piezoelectric Atomizers: Electromechanical Modeling and Performance Testing." In ASME 2018 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/smasis2018-8262.

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Ultrasonic atomization of bulk liquids has received extensive attention in the past few decades due to the ability to produce controlled droplet sizes, a necessity for many industries such as spray coating and aerosol drug delivery. Despite the increase in attention, one novel application of this technology has been overlooked until recently, and that is the moisture removal capabilities of atomization. The first ever ultrasonic dryer, created by researchers at Oak Ridge National Lab in 2016, applies the mechanisms of atomization to mechanically remove moisture from clothing. The process utilizes the ultrasonic vibrations created by a piezoelectric transducer in direct contact with a wet fabric to rupture the liquid-vapor boundary of the retained water. Once ruptured, smaller droplets are ejected from the bulk liquid and are actively removed from the fabric pores. The mechanisms of droplet ejection from this event are related to both capillary waves forming on the liquid surface (Capillary Wave Theory), as well as the implosion of cavitation bubbles formed from the hydraulic shocks propagating from the transducer (Cavitation Theory). In this work, we present an analytical model for predicting the moisture removal rate of a wet fabric exposed to ultrasonic vibrations, and connect the atomization events to a global variable, acceleration, in order to decouple the relationship between the transducer and applied voltage. The acceleration governing atomization is predicted using a verified numerical model. The numerical model is shown to assist in developing ultrasonic drying by means of efficiently evaluating transducer design changes.
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Phan, Van Phuoc, Nam Seo Goo, and Cheol Heui Han. "Pumping Performance of a Valveless Micropump Using Three-Dimensional Electro-Fluid-Structural Interaction Simulation." In ASME 2008 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. ASMEDC, 2008. http://dx.doi.org/10.1115/smasis2008-474.

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In this study, the pumping performance of a piezoelectric valveless micropump is simulated. The micropump, which was developed in the previous work, is composed of a four-layer lightweight piezocomposite actuator, a polydimethylsiloxane (PDMS) pump chamber, and two diffusers. The piezoelectric domain, the structural domain and the fluid domain are coupled in the three-dimensional simulation. For structural part, we used ANSYS. The fluid flow simulation is done with ANSYS CFX. The water flow rates are numerically predicted for geometric parameters of the micropump such as diffuser length and diffuser angle. The simulation is also verified with the experiment and the simulation results are acceptable for predicting the pumping performance.
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Verma, Nalin, Kenneth A. Cunefare, Ellen Skow, and Alper Erturk. "Power Density Performance Improvements for High Pressure Ripple Energy Harvesting." In ASME 2013 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/smasis2013-3179.

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A hydraulic pressure energy harvester (HPEH) device, which utilizes a housing to isolate a piezoelectric stack from the hydraulic fluid via a mechanical interface, generates power by converting the dynamic pressure within the system into electricity. Prior work developed an HPEH device capable of generating 2187 microWatts from an 85 kPa pressure ripple amplitude using a 1387 mm3 stack. A new generation of HPEH produced 157 microWatts at the test conditions of 18 MPa static pressure and 394 kPa root-mean-square pressure amplitude using a 50 mm3 stack, thus increasing the power produced per volume of piezoelectric stack principally due to the higher dynamic pressure input. The stack and housing design implemented on this new prototype device yield a compact, high-pressure hydraulic pressure energy harvester designed to withstand 35 MPa. The device, which is less than a 2.54 cm in length as compared to a 5.3 cm length of a previous HPEH, was statically tested up to 21.9 MPa and dynamically tested up to 19 MPa with 400 kPa root-mean-square dynamic pressure amplitude. An inductor was included in the load circuit in parallel with the stack and the load resistance to increase the power output of the device. A previously developed electromechanical power output model for this device that predicts the power output given the dynamic pressure ripple amplitude is compared to the power results. The power extracted from this device would be sufficient to meet the proposed applications of the device, which is to power sensor nodes in hydraulic systems.
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Reports on the topic "Adaptive work performance"

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Ayoul-Guilmard, Q., S. Ganesh, M. Nuñez, R. Tosi, F. Nobile, R. Rossi, and C. Soriano. D5.3 Report on theoretical work to allow the use of MLMC with adaptive mesh refinement. Scipedia, 2021. http://dx.doi.org/10.23967/exaqute.2021.2.002.

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This documents describes several studies undertaken to assess the applicability of MultiLevel Monte Carlo (MLMC) methods to problems of interest; namely in turbulent fluid flow over civil engineering structures. Several numerical experiments are presented wherein the convergence of quantities of interest with mesh parameters are studied at different Reynolds’ numbers and geometries. It was found that MLMC methods could be used successfully for low Reynolds’ number flows when combined with appropriate Adaptive Mesh Refinement (AMR) strategies. However, the hypotheses for optimal MLMC performance were found to not be satisfied at higher turbulent Reynolds’ numbers despite the use of AMR strategies. Recommendations are made for future research directions based on these studies. A tentative outline for an MLMC algorithm with adapted meshes is made, as well as recommendations for alternatives to MLMC methods for cases where the underlying assumptions for optimal MLMC performance are not satisfied.
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