Relevant bibliographies by topics / Mixed model method

Academic literature on the topic 'Mixed model method'

Author: Grafiati
Published: 10 December 2022
Last updated: 19 February 2023

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Journal articles on the topic "Mixed model method"

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Li Wei, Li Wei, and Bing-Wu Fang Li Wei. "Safety Analysis Method of Mixed Failure Model using Temporal Bayesian Network." 網際網路技術學刊 23, no. 4 (July 2022): 727–34. http://dx.doi.org/10.53106/160792642022072304008.

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<p>Dynamic Fault Tree (DFT) is used widely in the community of reliability and safety analysis of a complex system. DFT is a high-level modeling language lacking formal semantics, so we need to convert it to a mathematical model to analyze. The conventional analysis method can only solve the DFT with discrete or exponential distribution, but not the DFT with mixed distributions. To this end, we first propose a TBN framework to represent the DFT with mixed failure distribution by extending the BN and introduce Dirac delta functions and unit-step functions into the framework to represent the logical relationship and temporal relationship between the nodes, respectively. To run the standard BN inference algorithm over TBN, we fit the failure distribution of the nodes by using k-piece and n-degree polynomials. We then propose a transformation method from DFT to TBN and prove the equivalence of the transformation. Finally, the analysis of the DFT model of the X2000 avionics system shows that our approach can effectively analyze the reliability of mixed distribution failure models. Moreover, the accuracy and efficiency of the analysis are significantly better than current mainstream methods.</p> <p>&nbsp;</p>
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Sunandi, Etis, Khairil Anwar Notodiputro, and Bagus Sartono. "A STUDY OF GENERALIZED LINEAR MIXED MODEL FOR COUNT DATA USING HIERARCHICAL BAYES METHOD." MEDIA STATISTIKA 14, no. 2 (December 12, 2021): 194–205. http://dx.doi.org/10.14710/medstat.14.2.194-205.

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Poisson Log-Normal Model is one of the hierarchical mixed models that can be used for count data. Several estimation methods can be used to estimate the model parameters. The first objective of this study was to examine the performance of the parameter estimator and model built using the Hierarchical Bayes method via Markov Chain Monte Carlo (MCMC) with simulation. The second objective was applied the Poisson Log-Normal model to the West Java illiteracy Cases data which is sourced from the Susenas data on March 2019. In 2019, the incidence of illiteracy is a very rare occurrence in West Java Province. So that, it is suitable as an application case in this study. The simulation results showed that the Hierarchical Bayes parameter estimator through MCMC has the smallest Root Mean Squared Error of Prediction (RMSEP) value and the absolute bias is relatively mostly similar when compared to the Maximum Likelihood (ML) and Penalized Quasi-Likelihood (PQL) methods. Meanwhile, the empirical results showed that the fixed variable is the number of respondents who have a maximum education of elementary school have the greatest risk of illiteracy. Also, the diversity of census blocks significantly affects illiteracy cases in West Java 2019.
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Zhou, Tianyue. "Weighting Method for a Linear Mixed Model." Communications in Statistics - Theory and Methods 39, no. 2 (December 11, 2009): 214–27. http://dx.doi.org/10.1080/03610920802677216.

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Zhang, Ying. "Average Method of Mixed Sampling Distribution Bayesian Model." MATEC Web of Conferences 228 (2018): 01002. http://dx.doi.org/10.1051/matecconf/201822801002.

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Based on the study of Bayesian model average (BMA), this paper proposes to mix the prior distribution and sampling distribution to obtain the average method of the mixed sampling distribution Bayesian model overcoming the problem that traditional econometric modeling method does not explicitly consider the uncertainty of the model. If all the alternative models have the same parametric form, then the new Bayesian estimation will degenerate into the BMA estimator. The empirical results show that the method is better than Bayesian model average.
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Selvaganesan, N. "Mixed method of model reduction for uncertain systems." Serbian Journal of Electrical Engineering 4, no. 1 (2007): 1–12. http://dx.doi.org/10.2298/sjee0701001s.

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A mixed method for reducing a higher order uncertain system to a stable reduced order one is proposed. Interval arithmetic is used to construct a generalized Routh table for determining the denominator polynomial of the reduced system. The reduced numerator polynomial is obtained using factor division method and the steady state error is minimized using gain correction factor. The proposed method is illustrated using a numerical example.
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Bai, Hao, Yuan Zhong, Xin Gao, and Wei Xu. "Multivariate Mixed Response Model with Pairwise Composite-Likelihood Method." Stats 3, no. 3 (July 15, 2020): 203–20. http://dx.doi.org/10.3390/stats3030016.

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In clinical research, study outcomes usually consist of various patients’ information corresponding to the treatment. To have a better understanding of the effects of different treatments, one often needs to analyze multiple clinical outcomes simultaneously, while the data are usually mixed with both continuous and discrete variables. We propose the multivariate mixed response model to implement statistical inference based on the conditional grouped continuous model through a pairwise composite-likelihood approach. It can simplify the multivariate model by dealing with three types of bivariate models and incorporating the asymptotical properties of the composite likelihood via the Godambe information. We demonstrate the validity and the statistic power of the multivariate mixed response model through simulation studies and clinical applications. This composite-likelihood method is advantageous for statistical inference on correlated multivariate mixed outcomes.
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PAN, Jian-min. "ESTIMATION METHOD FOR MIXED-EFFECT COEFFICIENT SEMIPARAMETRIC REGRESSION MODEL." Journal of Zhejiang University SCIENCE 1, no. 1 (2000): 71. http://dx.doi.org/10.1631/jzus.2000.0071.

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Wang, Feng, Mingchao Cai, Gang Wang, and Yuping Zeng. "A mixed virtual element method for Biot's consolidation model." Computers & Mathematics with Applications 126 (November 2022): 31–42. http://dx.doi.org/10.1016/j.camwa.2022.09.005.

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Tao, Huageng, Mari Palta, Brian S. Yandell, and Michael A. Newton. "An Estimation Method for the Semiparametric Mixed Effects Model." Biometrics 55, no. 1 (March 1999): 102–10. http://dx.doi.org/10.1111/j.0006-341x.1999.00102.x.

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Pan, Hao, and Hongxing Rui. "Mixed Element Method for Two-Dimensional Darcy-Forchheimer Model." Journal of Scientific Computing 52, no. 3 (November 23, 2011): 563–87. http://dx.doi.org/10.1007/s10915-011-9558-3.

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Dissertations / Theses on the topic "Mixed model method"

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Sima, Adam. "Accounting for Model Uncertainty in Linear Mixed-Effects Models." VCU Scholars Compass, 2013. http://scholarscompass.vcu.edu/etd/2950.

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Standard statistical decision-making tools, such as inference, confidence intervals and forecasting, are contingent on the assumption that the statistical model used in the analysis is the true model. In linear mixed-effect models, ignoring model uncertainty results in an underestimation of the residual variance, contributing to hypothesis tests that demonstrate larger than nominal Type-I errors and confidence intervals with smaller than nominal coverage probabilities. A novel utilization of the generalized degrees of freedom developed by Zhang et al. (2012) is used to adjust the estimate of the residual variance for model uncertainty. Additionally, the general global linear approximation is extended to linear mixed-effect models to adjust the standard errors of the parameter estimates for model uncertainty. Both of these methods use a perturbation method for estimation, where random noise is added to the response variable and, conditional on the observed responses, the corresponding estimate is calculated. A simulation study demonstrates that when the proposed methodologies are utilized, both the variance and standard errors are inflated for model uncertainty. However, when a data-driven strategy is employed, the proposed methodologies show limited usefulness. These methods are evaluated with a trial assessing the performance of cervical traction in the treatment of cervical radiculopathy.
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Kjellsson, Maria C. "Methodological Studies on Models and Methods for Mixed-Effects Categorical Data Analysis." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-9333.

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Oldham, Alexis Jean. "Modulation of lipid domain formation in mixed model systems by proteins and peptides." View electronic thesis, 2008. http://dl.uncw.edu/etd/2008-1/r1/oldhama/alexisoldham.pdf.

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Rigaki, Anastasia. "Teachers of Greek Model Experimental High : Schools and Lifelong Learning: a mixed methods approach." Thesis, Linköpings universitet, Institutionen för beteendevetenskap och lärande, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-113294.

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Lifelong Learning is a key concept in modern ‘knowledge-based’ society and it is viewed as a commodity, a personal drive or a social necessity. This thesis aims to unravel its many dimensions and the values that are ascribed to it by the teachers of Greek Model Experimental High Schools. A Model Experimental High School is a relatively new type of state school in Greece, which is highly differentiated from other schools in terms of curriculum, inter-school activities, staff and students and emerged in the Greek education system in 2011. For this reason, research on the effects of this differentiation in the aspects of Lifelong Learning is scarce. The mixed methods strategy was used in order to form a complete picture of the Lifelong Learning dimensions and the research was conducted in two parts. The first part was quantitative and aimed to categorize the elements that constitute Lifelong Learning for the teachers, the factors that encourage or discourage it and its positive and negative dimensions on a macro level as, through a questionnaire, and as a result responses were collected from the thirty-six Model Experimental High Schools in urban and semi-urban areas of Greece. The second part was qualitative and through semi-structured interviews, it explored more in-depth the issue of Lifelong Learning and the concept of vocational vitality which is related both to Lifelong Learning and a teacher’s professional life. Following the propositions of the Theory of Work Adjustment, the research revealed that through the various non-formal and informal activities that the demanding context of Model Experimental High Schools promotes, Lifelong Learning acts as a reinforcer and a means of sustaining the balance between the school and the teachers by increasing their satisfaction. Moreover, both the quantitative and the qualitative methods revealed that teachers consider Lifelong Learning firstly as a means of personal development and secondly as continuous professional development. Lifelong Learning as investment in the human capital was not found as important as the previous two. Furthermore, the vocational vitality of teachers was found to be thriving due to the importance that Lifelong Learning plays in their life a and despite the difficulties which arise from the work demands or the difficult socioeconomic context in Greece due to the economic crisis of the recent years.
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Alharbi, Basmah Fehaid H. "Young Saudi women’s beliefs upon their engagement in physical activity: A mixed method study." Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/227842/1/Basmah%20Fehaid%20H_Alharbi_Thesis.pdf.

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A culturally sensitive and theory-based questionnaire, the Belief-Based Physical Activity Questionnaire for young Saudi females aged 18-35, (BPAQ-YSF) was developed, validated, and adapted to the Saudi culture. Based on the Theory of Planned Behaviour, the research identified Saudi females' physical activity beliefs, developed a valid, theory-based questionnaire for Saudi Arabic culture, and identified the psychosocial factors that influence their engagement in physical activity. An exploratory sequential mixed-methods design was used to conduct five integrated studies. This research will contribute to one of the main elements of Saudi Arabia's 2030 vision by helping Saudis adopt and maintain a more active and healthier lifestyle.
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Olesen, Terry. "Individual adaptation to discontinuous employment for Australian workers : a longitudinal mixed method study." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2012. https://ro.ecu.edu.au/theses/522.

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This thesis research has had two aims: first, to determine how discontinuous (or “casual”) employment impacts on quality of life, mental health, and coping for a population of Australian job seekers; second, to determine how different groups of workers differ in coping style, quality of life, and mental health when dealing with discontinuous (casual, short-term) work. To address these aims a national survey was conducted of white collar, business and technical/scientific workers (N=229 at Time 1). Workers were sampled three times over the study period of nine months. The mixed method design consisted of two phases in order to capture the richness of the phenomena in question. The quantitative phase (QN) was initiated first with a tri-monthly national survey running from July 2006-until February 2007. The survey yielded information on workers’ employment conditions, job permanency, sense of resilience, and distress levels. Phase QN yielded an “overall snapshot” of worker issues and life facet coping patterns. The qualitative phase (QL) was initiated two weeks after the start of Phase QN. In this phase the investigator conducted semi-structured interviews from a subset of nine workers taken at three- month intervals. Phase QL yielded narratives of nine-month “slices of life” for these respondents, illustrating their most current work/life conflicts and the strategies and attitudes they employed to manage such conflicts. Phase QL also allowed for the uncovering of personal meanings for work-life transitions role conflicts, perceived time shortages and respondents’ personal work-life goals. Narratives, goals and personal meanings were eventually uncovered and were integrated into nine-month case trajectories. Phase QL trajectory results were then compared and integrated with the QN quantitative survey results via a process of audit trailing, data reconfiguring, member checking, and comparing of data sets. Main Findings: for the QN analysis/methods, Distress was predicted by only three Life Facet variables: number of children, permanency (security) of one’s job, and the time of year (season). The outcome variable Resilience/Coherence was predicted by only two of the variables of interest: permanency (job security) and time of year. Overall the weak QN findings could only hint at but not substantiate the patency of the Life Facets Model in explaining discontinuous work. However the Phase QL results showed the Life Facets Model to better fit the coping narratives than other models (of staged grief, active agency, drive reduction, and stress-appraisal-coping). Though some mismatches occurred across the two (QL and QN) methods, most were resolved through mixed method techniques of auditing, cross referencing and integration. Implications of the findings for future research, social welfare, and public policy were suggested.
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Thompson-Sellers, Ingrid N. "What Informs Practice and What is Valued in Corporate Instructional Design? A Mixed Methods Study." Digital Archive @ GSU, 2012. http://digitalarchive.gsu.edu/msit_diss/89.

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This study used a two-phased explanatory mixed-methods design to explore in-depth what factors are perceived by Instructional Design and Technology (IDT) professionals as impacting instructional design practice, how these factors are valued in the field, and what differences in perspectives exist between IDT managers and non-managers. For phase 1 of the study, one hundred and sixteen corporate IDT professionals (managers and non-managers) responded to a web-based survey that was designed and developed from: (a) The results of an exploratory study of the practices of corporate instructional designers, (b) the results of an extensive literature review into the theory and practice in the field of IDT, and (c) other survey instruments developed, validated and used in prior studies. Analysis of the data collected in phase 1 of the study resulted in the development of an Evaluation Model for IDT Practice that was used as a framework to answer the research questions. Quantitative analysis included the use of Hotelling’s T2 inferential statistic to test for mean differences between managers and non-managers perceptions of formal and informally trained groups of IDT personnel. Chi squared analysis test of independence, and correlation analysis was used to determine the nature and extent of the relationship between the type of training and the professional status of the participants. For phase 2 of the study, semi-structured interviews were conducted with selected participants and analyzed using the constant comparative method in order to help validate the findings from phase 1. Ensuing analysis of the survey data determined that, both managers and non-managers generally agreed that both formal and on the job training was valuable, and that their peers who were formally and informally trained were competent instructional designers. The qualitative phase of the study and a closer examination of effect sizes suggested the potential for some variation in perceptions. In addition, a statistically significant correlation showed that IDT managers who completed the survey were more likely to be formally trained. Recommendations based on the results included future studies with a larger, more diverse population; future studies to refine the Evaluation Model for ID practice; and that academic ID programs work more closely with practitioners when designing and delivering their curricula.
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Bettemir, Onder Halis. "Sensitivity And Error Analysis Of A Differential Rectification Method For Ccd Frame Cameras And Pushbroom Scanners." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/12607708/index.pdf.

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In this thesis, sensitivity and error analysis of a differential rectification method were performed by using digital images taken by a frame camera onboard BILSAT and pushbroom scanner on ASTER. Three methods were implemented for Sensitivity and Uncertainty analysis: Monte Carlo, covariance analysis and FAST (Fourier Amplitude Sensitivity Test). A parameter estimation procedure was carried out on the basis of so called Mixed Model extended by some suitable additional regularization parameters to stabilize the solution for improper geometrical conditions of the imaging system. The effectiveness and accuracy of the differential rectification method were compared with other rectification methods and the results were analyzed. Furthermore the differential method is adapted to the pushbroom scanners and software which provides rectified images from raw satellite images was developed.
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Wallace, Ian Joseph. "Examining student engagement and its influence in a social contextual model of adolescent health behavior change." VCU Scholars Compass, 2008. http://scholarscompass.vcu.edu/etd/1500.

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Current theoretical models of health behavior change frequently serve as the theoretical backdrop to adolescent health promotion programs. Yet, despite that each main theory was developed with adults and for adults, appropriate and necessary changes for adolescents are often neglected. The unique values, priorities, and abilities of adolescents are important and therefore necessary to consider during health promotion efforts. The present study explored student engagement, a unique adolescent need that has been shown to facilitate achievement in academic environments. Evidence from the psychological and educational literatures suggests that engagement may uniquely influence the process of health behavior change for adolescents. Due to the paucity of related investigations, the current study first explored the structure of the student engagement construct, and second, tested student engagement as a predictor of behavioral intentions in three separate social contextual models of adolescent health behavior change. A mixed-method quasi-experimental design was used in the investigation. Data were gathered from a school-based randomized intervention program, Building a BRIDGE to Better Health (BRIDGE). BRIDGE was a 6 week life skills intervention program that was created to promote cancer-risk reduction among adolescents. It was based on a genealogy and health promotion/disease prevention model. An exploratory factor analysis (EFA) was performed to investigate the latent structure of the student engagement construct. Linear mixed models (LMM) were used to test student engagement as a novel predictor within social contextual models of health behavior change predicting student intentions to reduce fat consumption, conduct self-examinations, and exercise. The EFA yielded a one-factor solution that included six of the initial seven items. This finding did not support the hypothesis, which predicted that items would differentiate into behavioral, cognitive, and emotional types of student engagement. Results of the LMMs supported the hypotheses that student engagement would have a significant effect on student intentions to reduce fat consumption, conduct self-examinations, and exercise. Based on comparisons between student engagement and similar predictor variables, overall findings indicate mixed support for student engagement as a significant predictor in theoretically-based models of adolescent health behavior change.
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Ismoyo, Thomas Ulun. "An exploration of calling, job performance, and innovation in the Catholic Church." Thesis, Queensland University of Technology, 2021. https://eprints.qut.edu.au/227064/1/Thomas%20Ulun_Ismoyo_Thesis.pdf.

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This research explores the notion of work as a calling and its impact on job performance and innovation in the context of the Catholic Church. Employing the data gained from Catholic priests in Australia and Indonesia and utilising the lens of role identification and person-environment fit theory, this study revealed that priest’s calling is multidimensional and influences different dimensions of their job performance. Additionally, the results found the importance of organisational climate and living the calling as essential factors in enhancing the effect of calling on job performance. This research extends the literature of calling, job performance, and innovation.
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Books on the topic "Mixed model method"

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Miura, Hiroaki. Development of a mixed finite-difference/finite-volume scheme for the shallow water model on a spherical geodesic grid. [Tokyo, Japan]: Center for Climate System Research, University of Tokyo, 2004.

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Selection index and introduction to mixed model methods. Boca Raton: CRC Press, 1993.

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Geert, Molenberghs, ed. Linear mixed models for longitudinal data. New York: Springer, 2000.

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Geert, Molenberghs, ed. Linear mixed models for longitudinal data. New York: Springer, 2009.

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Wu, Lang. Mixed effects models for complex data. Boca Raton: Taylor & Francis, 2009.

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Wu, Lang. Mixed effects models for complex data. Boca Raton: Taylor & Francis, 2009.

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Robert, Crouchley, ed. Multivariate generalized linear mixed models using R. Boca Raton, FL: CRC Press, 2011.

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Kirches, Christian. Fast Numerical Methods for Mixed-Integer Nonlinear Model-Predictive Control. Wiesbaden: Vieweg+Teubner Verlag, 2011. http://dx.doi.org/10.1007/978-3-8348-8202-8.

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Truty, Andrzej. On certain classes of mixed and stabilized mixed finite element formulations for single and two-phase geomaterials. Kraków: Politechnika Krakowska, 2002.

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Kim, Seonghoon. IRT scale linking methods for mixed-format tests. Iowa City, Iowa: ACT, Inc., 2004.

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Book chapters on the topic "Mixed model method"

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Barrau, Thomas, and Raphael Douady. "Estimation Method: The Linear Non-Linear Mixed Model." In Financial Mathematics and Fintech, 35–57. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97319-3_3.

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Kirches, Christian. "A Nonconvex Parametric SQP Method." In Fast Numerical Methods for Mixed-Integer Nonlinear Model-Predictive Control, 141–73. Wiesbaden: Vieweg+Teubner Verlag, 2011. http://dx.doi.org/10.1007/978-3-8348-8202-8_7.

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Kirches, Christian. "The Direct Multiple Shooting Method for Optimal Control." In Fast Numerical Methods for Mixed-Integer Nonlinear Model-Predictive Control, 13–29. Wiesbaden: Vieweg+Teubner Verlag, 2011. http://dx.doi.org/10.1007/978-3-8348-8202-8_2.

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Li, Yanping, and Qingli Zhao. "Efficient Expanded Mixed Finite Element Method for the Forchheimer Model." In Advances in Internet, Data & Web Technologies, 818–27. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75928-9_74.

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Naqvi, Sadaf, Ibraheem Nasiruddin, Sana Ali, and Shilpa Gupta. "Model Order Reduction of Two Area Hydropower System Using Mixed Method." In Lecture Notes in Electrical Engineering, 21–30. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0662-4_3.

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Silva, A., M. Fonseca, and J. Mexia. "Variance Components Estimation in Mixed Linear Model—The Sub-diagonalization Method." In Springer Proceedings in Mathematics & Statistics, 317–41. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-49984-0_21.

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Wang, Hua-dong, Di Liang, Xiang-fei Ma, and Yu-cheng Pan. "A Direct Sum of Sequential Matrix Method for Mixed-Model Workshop Layout." In Proceedings of 20th International Conference on Industrial Engineering and Engineering Management, 1055–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40063-6_103.

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Monden, Yasuhiro. "Sequencing Method for the Mixed-Model Assembly Line to Realize Smoothed Production." In Toyota Production System, 253–64. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-9714-8_16.

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Krenczyk, Damian, and Karol Dziki. "A Simulated Annealing Based Method for Sequencing Problem in Mixed Model Assembly Lines." In Advances in Intelligent Systems and Computing, 331–41. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57802-2_32.

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Zeng, Hong, Xingxi He, and Honghu Pan. "A New Practice Method Based on KNN Model to Improve User Experience for an AR Piano Learning System." In Virtual, Augmented and Mixed Reality. Applications and Case Studies, 398–409. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21565-1_27.

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Conference papers on the topic "Mixed model method"

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Tomaszewski, Daniel, Grzegorz Gluszko, Michal Zaborowski, Jolanta Malesinska, and Krzysztof Kucharski. "A simple multi-purpose method for compact model evaluation." In 2014 21st International Conference "Mixed Design of Integrated Circuits & Systems" (MIXDES). IEEE, 2014. http://dx.doi.org/10.1109/mixdes.2014.6872157.

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Liang, Chao, Zhou Fang, and C. Z. Chen. "Method for analog-mixed signal design verification and model calibration." In 2015 China Semiconductor Technology International Conference (CSTIC). IEEE, 2015. http://dx.doi.org/10.1109/cstic.2015.7153486.

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Guan, Deyong, Lianhua An, and Lei Huang. "A Road Maximum Flow Control Method Based on Mixed Model." In 17th COTA International Conference of Transportation Professionals. Reston, VA: American Society of Civil Engineers, 2018. http://dx.doi.org/10.1061/9780784480915.302.

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Shaker, Hamid Reza, Mojtaba Tabatabaeepour, Mahmoud Samavat, and Ali Akbar Gharaveisi. "A New Mixed Method for Relative Error Model Order Reduction." In 2006 49th IEEE International Midwest Symposium on Circuits and Systems. IEEE, 2006. http://dx.doi.org/10.1109/mwscas.2006.382286.

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Dong, Jietao, Linxuan Zhang, Tianyuan Xiao, and Hui Li. "A dynamic part supply method for automated mixed-model assembly lines." In 2015 IEEE 19th International Conference on Computer Supported Cooperative Work in Design (CSCWD). IEEE, 2015. http://dx.doi.org/10.1109/cscwd.2015.7231014.

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Kang, Wenda, and Shuhe Lei. "Parameter Estimation Method for Random Ocean Waves with Mixed Spectrum Model." In 2019 Chinese Control And Decision Conference (CCDC). IEEE, 2019. http://dx.doi.org/10.1109/ccdc.2019.8832788.

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Zhao, Lanhao, Tongchun Li, and Tianyou Yan. "Implementation of Fictitious Crack Model Using Mixed Freedom Finite Element Method." In Thirteenth ASCE Aerospace Division Conference on Engineering, Science, Construction, and Operations in Challenging Environments, and the 5th NASA/ASCE Workshop On Granular Materials in Space Exploration. Reston, VA: American Society of Civil Engineers, 2012. http://dx.doi.org/10.1061/9780784412190.094.

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Jing, H., Y. Cheng, K. Liu, and K. Cao. "Detection method based on network model trained with mixed data sets." In IET International Radar Conference (IET IRC 2020). Institution of Engineering and Technology, 2021. http://dx.doi.org/10.1049/icp.2021.0835.

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Xuan, Ying, Weihua Zhang, and Yulin Zhang. "Research on mixed optimization method with gradient-based Kriging approximation model." In 2008 Asia Simulation Conference - 7th International Conference on System Simulation and Scientific Computing (ICSC). IEEE, 2008. http://dx.doi.org/10.1109/asc-icsc.2008.4675326.

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Gomes, Antonio Tadeu, Diego Paredes, Weslley Pereira, Roberto Souto, and Frederic Valentin. "A Multiscale Hybrid-Mixed Method for the Elastodynamic Model with Rough Coefficients." In XXXVIII Iberian-Latin American Congress on Computational Methods in Engineering. Florianopolis, Brazil: ABMEC Brazilian Association of Computational Methods in Engineering, 2017. http://dx.doi.org/10.20906/cps/cilamce2017-0399.

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Reports on the topic "Mixed model method"

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Rahimi, Noshad. Developing a Mixed-Methods Method to Model Elderly Health Technology Adoption with Fuzzy Cognitive Map, and its Application in Adoption of Remote Health Monitoring Technologies by Elderly Women. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.6395.

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Bauman, Lara. New methods of uncertainty quantification for mixed discrete-continuous variable models. Office of Scientific and Technical Information (OSTI), June 2013. http://dx.doi.org/10.2172/1090213.

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Jury, William A., and David Russo. Characterization of Field-Scale Solute Transport in Spatially Variable Unsaturated Field Soils. United States Department of Agriculture, January 1994. http://dx.doi.org/10.32747/1994.7568772.bard.

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This report describes activity conducted in several lines of research associated with field-scale water and solute processes. A major effort was put forth developing a stochastic continuum analysis for an important class of problems involving flow of reactive and non reactive chemicals under steady unsaturated flow. The field-scale velocity covariance tensor has been derived from local soil properties and their variability, producing a large-scale description of the medium that embodies all of the local variability in a statistical sense. Special cases of anisotropic medium properties not aligned along the flow direction of spatially variable solute sorption were analysed in detail, revealing a dependence of solute spreading on subtle features of the variability of the medium, such as cross-correlations between sorption and conductivity. A novel method was developed and tested for measuring hydraulic conductivity at the scale of observation through the interpretation of a solute transport outflow curve as a stochastic-convective process. This undertaking provided a host of new K(q) relationships for existing solute experiments and also laid the foundation for future work developing a self-consistent description of flow and transport under these conditions. Numerical codes were developed for calculating K(q) functions for a variety of solute pulse outflow shapes, including lognormal, Fickian, Mobile-Immobile water, and bimodal. Testing of this new approach against conventional methodology was mixed, and agreed most closely when the assumptions of the new method were met. We conclude that this procedure offers a valuable alternative to conventional methods of measuring K(q), particularly when the application of the method is at a scale (e.g. and agricultural field) that is large compared to the common scale at which conventional K(q) devices operate. The same problem was approached from a numerical perspective, by studying the feasibility of inverting a solute outflow signal to yield the hydraulic parameters of the medium that housed the experiment. We found that the inverse problem was solvable under certain conditions, depending on the amount of noise in the signal and the degree of heterogeneity in the medium. A realistic three dimensional model of transient water and solute movement in a heterogeneous medium that contains plant roots was developed and tested. The approach taken was to generate a single realization of this complex flow event, and examine the results to see whether features were present that might be overlooked in less sophisticated model efforts. One such feature revealed is transverse dispersion, which is a critically important component in the development of macrodispersion in the longitudinal direction. The lateral mixing that was observed greatly exceeded that predicted from simpler approaches, suggesting that at least part of the important physics of the mixing process is embedded in the complexity of three dimensional flow. Another important finding was the observation that variability can produce a pseudo-kinetic behavior for solute adsorption, even when the local models used are equilibrium.
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Blackham, Alysia. Addressing Age Discrimination in Employment: a report on the findings of Australian Research Council Project DE170100228. University of Melbourne, November 2021. http://dx.doi.org/10.46580/124368.

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This project aimed to research the effectiveness of Australian age discrimination laws. While demographic ageing necessitates extending working lives, few question the effectiveness of Australian age discrimination laws in supporting this ambition. This project drew on mixed methods and comparative UK experiences to offer empirical and theoretical insights into Australian age discrimination law. It sought to create a normative model for legal reform in Australia, to inform public policy and debate and improve responses to demographic ageing, providing economic, health and social benefits.
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El Badawy, Amro, and Ashraf Rahim. Evaluation of Nanoclay Additives for Improving Resistance to Moisture Damage in Hot Mix Asphalt (HMA). Mineta Transportation Institute, January 2023. http://dx.doi.org/10.31979/mti.2023.2151.

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Transportation has an enormous impact on the U.S. economy and on the lives of all Americans. Many modes of transportation rely on pavement, but pavement conditions deteriorate over time because of the combined effects of traffic and climate. Exposure to moisture often causes premature failure of asphalt pavements as it reduces the stiffness of the asphalt and enables stripping of the asphalt from the aggregate. This research evaluates the effectiveness of clay nanomaterials (i.e., nanoclays) in improving the resistance of hot mix asphalt (HMA) to moisture damage and compares the enhancement results to anti-stripping additives commonly used in pavement construction. Two types of surface-modified nanoclay, lime-treated aggregate, and two amine-based liquid antistripping agents (HP Plus and LOF 6500) were evaluated for improving HMA’s moisture resistance. All additives tested for reducing moisture damage resulted in dry and wet tensile strength of the modified mixes higher than the minimum specified by Caltrans 2018 Standard Specifications (100 psi for dry tensile strength and 70 psi for wet tensile strength). The Tensile Strength Ratio (TSR) of all HMA modified mixes was higher than 0.80, which is the minimum specified by the Superpave mix design method (Asphalt Mix Design Methods MS-2, Asphalt Institute) and exceeded the TSR of the control mix. The TSR for HMA mixes modified using nanoclays were comparable to those for HMA mixes modified using liquid antistripping and lime slurry treated aggregate. Liquid antistripping agents tested herein were the least costly additive at an approximately $2.0/ton added cost. This research can be used to better understand pavement deterioration to enable the most efficient and cost-effective construction and preservation of our nation's critical transportation infrastructure.
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Ramakrishnan, Aravind, Ashraf Alrajhi, Egemen Okte, Hasan Ozer, and Imad Al-Qadi. Truck-Platooning Impacts on Flexible Pavements: Experimental and Mechanistic Approaches. Illinois Center for Transportation, November 2021. http://dx.doi.org/10.36501/0197-9191/21-038.

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Truck platoons are expected to improve safety and reduce fuel consumption. However, their use is projected to accelerate pavement damage due to channelized-load application (lack of wander) and potentially reduced duration between truck-loading applications (reduced rest period). The effect of wander on pavement damage is well documented, while relatively few studies are available on the effect of rest period on pavement permanent deformation. Therefore, the main objective of this study was to quantify the impact of rest period theoretically, using a numerical method, and experimentally, using laboratory testing. A 3-D finite-element (FE) pavement model was developed and run to quantify the effect of rest period. Strain recovery and accumulation were predicted by fitting Gaussian mixture models to the strain values computed from the FE model. The effect of rest period was found to be insignificant for truck spacing greater than 10 ft. An experimental program was conducted, and several asphalt concrete (AC) mixes were considered at various stress levels, temperatures, and rest periods. Test results showed that AC deformation increased with rest period, irrespective of AC-mix type, stress level, and/or temperature. This observation was attributed to a well-documented hardening–relaxation mechanism, which occurs during AC plastic deformation. Hence, experimental and FE-model results are conflicting due to modeling AC as a viscoelastic and the difference in the loading mechanism. A shift model was developed by extending the time–temperature superposition concept to incorporate rest period, using the experimental data. The shift factors were used to compute the equivalent number of cycles for various platoon scenarios (truck spacings or rest period). The shift model was implemented in AASHTOware pavement mechanic–empirical design (PMED) guidelines for the calculation of rutting using equivalent number of cycles.
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Wiecha, Jean L., and Mary K. Muth. Agreements Between Public Health Organizations and Food and Beverage Companies: Approaches to Improving Evaluation. RTI Press, January 2021. http://dx.doi.org/10.3768/rtipress.2021.op.0067.2101.

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Efforts in the United States and abroad to address the chronic disease epidemic have led to the emergence of voluntary industry agreements as a substitute for regulatory approaches to improve the healthfulness of foods and beverages. Because of the lack of access to data and limited budgets, evaluations of these agreements have often been limited to process evaluation with less focus on outcomes and impact. Increasing scientific scope and rigor in evaluating voluntary food and beverage industry agreements would improve potential public health benefits and understanding of the effects of these agreements. We describe how evaluators can provide formative, process, and outcome assessment and discuss challenges and opportunities for impact assessment. We explain how logic models, industry profiles, quasi-experimental designs, mixed-methods approaches, and third-party data can improve the effectiveness of agreement design and evaluation. These methods could result in more comprehensive and rigorous evaluation of voluntary industry agreements, thus providing data to bolster the public health impacts of future agreements. However, improved access to data and larger evaluation budgets will be needed to support improvements in evaluation.
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Dy, Sydney M., Julie M. Waldfogel, Danetta H. Sloan, Valerie Cotter, Susan Hannum, JaAlah-Ai Heughan, Linda Chyr, et al. Integrating Palliative Care in Ambulatory Care of Noncancer Serious Chronic Illness: A Systematic Review. Agency for Healthcare Research and Quality (AHRQ), February 2020. http://dx.doi.org/10.23970/ahrqepccer237.

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Objectives. To evaluate availability, effectiveness, and implementation of interventions for integrating palliative care into ambulatory care for U.S.-based adults with serious life-threatening chronic illness or conditions other than cancer and their caregivers We evaluated interventions addressing identification of patients, patient and caregiver education, shared decision-making tools, clinician education, and models of care. Data sources. We searched key U.S. national websites (March 2020) and PubMed®, CINAHL®, and the Cochrane Central Register of Controlled Trials (through May 2020). We also engaged Key Informants. Review methods. We completed a mixed-methods review; we sought, synthesized, and integrated Web resources; quantitative, qualitative and mixed-methods studies; and input from patient/caregiver and clinician/stakeholder Key Informants. Two reviewers screened websites and search results, abstracted data, assessed risk of bias or study quality, and graded strength of evidence (SOE) for key outcomes: health-related quality of life, patient overall symptom burden, patient depressive symptom scores, patient and caregiver satisfaction, and advance directive documentation. We performed meta-analyses when appropriate. Results. We included 46 Web resources, 20 quantitative effectiveness studies, and 16 qualitative implementation studies across primary care and specialty populations. Various prediction models, tools, and triggers to identify patients are available, but none were evaluated for effectiveness or implementation. Numerous patient and caregiver education tools are available, but none were evaluated for effectiveness or implementation. All of the shared decision-making tools addressed advance care planning; these tools may increase patient satisfaction and advance directive documentation compared with usual care (SOE: low). Patients and caregivers prefer advance care planning discussions grounded in patient and caregiver experiences with individualized timing. Although numerous education and training resources for nonpalliative care clinicians are available, we were unable to draw conclusions about implementation, and none have been evaluated for effectiveness. The models evaluated for integrating palliative care were not more effective than usual care for improving health-related quality of life or patient depressive symptom scores (SOE: moderate) and may have little to no effect on increasing patient satisfaction or decreasing overall symptom burden (SOE: low), but models for integrating palliative care were effective for increasing advance directive documentation (SOE: moderate). Multimodal interventions may have little to no effect on increasing advance directive documentation (SOE: low) and other graded outcomes were not assessed. For utilization, models for integrating palliative care were not found to be more effective than usual care for decreasing hospitalizations; we were unable to draw conclusions about most other aspects of utilization or cost and resource use. We were unable to draw conclusions about caregiver satisfaction or specific characteristics of models for integrating palliative care. Patient preferences for appropriate timing of palliative care varied; costs, additional visits, and travel were seen as barriers to implementation. Conclusions. For integrating palliative care into ambulatory care for serious illness and conditions other than cancer, advance care planning shared decision-making tools and palliative care models were the most widely evaluated interventions and may be effective for improving only a few outcomes. More research is needed, particularly on identification of patients for these interventions; education for patients, caregivers, and clinicians; shared decision-making tools beyond advance care planning and advance directive completion; and specific components, characteristics, and implementation factors in models for integrating palliative care into ambulatory care.
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Lavadenz, Magaly, Sheila Cassidy, Elvira G. Armas, Rachel Salivar, Grecya V. Lopez, and Amanda A. Ross. Sobrato Early Academic Language (SEAL) Model: Final Report of Findings from a Four-Year Study. Center for Equity for English Learners, Loyola Marymount University, 2020. http://dx.doi.org/10.15365/ceel.seal2020.

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The Sobrato Early Academic Language (SEAL) Model Research and Evaluation Final Report is comprised of three sets of studies that took place between 2015 and 2019 to examine the effectiveness of the SEAL Model in 67 schools within 12 districts across the state of California. Over a decade ago, the Sobrato Family Foundation responded to the enduring opportunity gaps and low academic outcomes for the state’s 1.2 million English Learners by investing in the design of the SEAL Model. The SEAL PreK–Grade 3 Model was created as a whole-school initiative to develop students’ language, literacy, and academic skills. The pilot study revealed promising findings, and the large-scale implementation of SEAL was launched in 2013. This report addresses a set of research questions and corresponding studies focused on: 1) the perceptions of school and district-level leaders regarding district and school site implementation of the SEAL Model, 2) teachers’ development and practices, and 3) student outcomes. The report is organized in five sections, within which are twelve research briefs that address the three areas of study. Technical appendices are included in each major section. A developmental evaluation process with mixed methods research design was used to answer the research questions. Key findings indicate that the implementation of the SEAL Model has taken root in many schools and districts where there is evidence of systemic efforts or instructional improvement for the English Learners they serve. In regards to teachers’ development and practices, there were statistically significant increases in the use of research-based practices for English Learners. Teachers indicated a greater sense of efficacy in addressing the needs of this population and believe the model has had a positive impact on their knowledge and skills to support the language and literacy development of PreK- Grade 3 English Learners. Student outcome data reveal that despite SEAL schools averaging higher rates of poverty compared to the statewide rate, SEAL English Learners in grades 2–4 performed comparably or better than California English Learners in developing their English proficiency; additional findings show that an overwhelming majority of SEAL students are rapidly progressing towards proficiency thus preventing them from becoming long-term English Learners. English Learners in bilingual programs advanced in their development of Spanish, while other English Learners suffered from language loss in Spanish. The final section of the report provides considerations and implications for further SEAL replication, sustainability, additional research and policy.
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Irudayaraj, Joseph, Ze'ev Schmilovitch, Amos Mizrach, Giora Kritzman, and Chitrita DebRoy. Rapid detection of food borne pathogens and non-pathogens in fresh produce using FT-IRS and raman spectroscopy. United States Department of Agriculture, October 2004. http://dx.doi.org/10.32747/2004.7587221.bard.

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Rapid detection of pathogens and hazardous elements in fresh fruits and vegetables after harvest requires the use of advanced sensor technology at each step in the farm-to-consumer or farm-to-processing sequence. Fourier-transform infrared (FTIR) spectroscopy and the complementary Raman spectroscopy, an advanced optical technique based on light scattering will be investigated for rapid and on-site assessment of produce safety. Paving the way toward the development of this innovative methodology, specific original objectives were to (1) identify and distinguish different serotypes of Escherichia coli, Listeria monocytogenes, Salmonella typhimurium, and Bacillus cereus by FTIR and Raman spectroscopy, (2) develop spectroscopic fingerprint patterns and detection methodology for fungi such as Aspergillus, Rhizopus, Fusarium, and Penicillium (3) to validate a universal spectroscopic procedure to detect foodborne pathogens and non-pathogens in food systems. The original objectives proposed were very ambitious hence modifications were necessary to fit with the funding. Elaborate experiments were conducted for sensitivity, additionally, testing a wide range of pathogens (more than selected list proposed) was also necessary to demonstrate the robustness of the instruments, most crucially, algorithms for differentiating a specific organism of interest in mixed cultures was conceptualized and validated, and finally neural network and chemometric models were tested on a variety of applications. Food systems tested were apple juice and buffer systems. Pathogens tested include Enterococcus faecium, Salmonella enteritidis, Salmonella typhimurium, Bacillus cereus, Yersinia enterocolitis, Shigella boydii, Staphylococus aureus, Serratiamarcescens, Pseudomonas vulgaris, Vibrio cholerae, Hafniaalvei, Enterobacter cloacae, Enterobacter aerogenes, E. coli (O103, O55, O121, O30 and O26), Aspergillus niger (NRRL 326) and Fusarium verticilliodes (NRRL 13586), Saccharomyces cerevisiae (ATCC 24859), Lactobacillus casei (ATCC 11443), Erwinia carotovora pv. carotovora and Clavibacter michiganense. Sensitivity of the FTIR detection was 103CFU/ml and a clear differentiation was obtained between the different organisms both at the species as well as at the strain level for the tested pathogens. A very crucial step in the direction of analyzing mixed cultures was taken. The vector based algorithm was able to identify a target pathogen of interest in a mixture of up to three organisms. Efforts will be made to extend this to 10-12 key pathogens. The experience gained was very helpful in laying the foundations for extracting the true fingerprint of a specific pathogen irrespective of the background substrate. This is very crucial especially when experimenting with solid samples as well as complex food matrices. Spectroscopic techniques, especially FTIR and Raman methods are being pursued by agencies such as DARPA and Department of Defense to combat homeland security. Through the BARD US-3296-02 feasibility grant, the foundations for detection, sample handling, and the needed algorithms and models were developed. Successive efforts will be made in transferring the methodology to fruit surfaces and to other complex food matrices which can be accomplished with creative sampling methods and experimentation. Even a marginal success in this direction will result in a very significant breakthrough because FTIR and Raman methods, in spite of their limitations are still one of most rapid and nondestructive methods available. Continued interest and efforts in improving the components as well as the refinement of the procedures is bound to result in a significant breakthrough in sensor technology for food safety and biosecurity.
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