Relevant bibliographies by topics / Research models

Contents

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

Academic literature on the topic 'Research models'

Author: Grafiati
Published: 4 June 2021
Last updated: 4 February 2022

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Journal articles on the topic "Research models"

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Verma, S. S. "Regression models in physiological research." Zeitschrift für Morphologie und Anthropologie 83, no. 1 (March 1, 2001): 129–38. http://dx.doi.org/10.1127/zma/83/2001/129.

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Simola, Jussi. "Comparative Research of Cybersecurity Information Sharing Models." Information & Security: An International Journal 43, no. 2 (2019): 175–95. http://dx.doi.org/10.11610/isij.4315.

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Eyring, Henry. "Models in research." International Journal of Quantum Chemistry 3, S3A (June 18, 2009): 5–15. http://dx.doi.org/10.1002/qua.560030705.

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ALTUĞ ÖZSOY, Süheyla, and İlknur GÖL. "RESEARCH UTILIZATION MODELS IN NURSING AND RESEARCH EXAMPLES USING THESE MODELS." INTERNATIONAL REFEREED JOURNAL OF NURSING RESEARCHES, no. 8 (December 30, 2016): 162. http://dx.doi.org/10.17371/uhd.2016823285.

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Li, Liu, and Guo Fei Zhang. "Station Models Research Based on IFS Models." Applied Mechanics and Materials 539 (July 2014): 386–89. http://dx.doi.org/10.4028/www.scientific.net/amm.539.386.

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As a reaserch and development model, IFS is fast and efficient for MIS sysment.At first, we introduced the IFS models (information models, station models and function models) ,and it is proposed that the management information system (MIS) is build base on IFS models data-driven technologies and four tiers soft development technologies. Finally, we described abstract of the station models (user interface) and mechanism about the station models to the user interface.
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LaFollette, Hugh, and Niall Shanks. "Two Models of Models in Biomedical Research." Philosophical Quarterly 45, no. 179 (April 1995): 141. http://dx.doi.org/10.2307/2220412.

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Mottaghy, Felix M. "Models in memory research." Methods 44, no. 4 (April 2008): 287–88. http://dx.doi.org/10.1016/j.ymeth.2008.03.001.

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Kublin, Jessica L., and James B. Whitney. "Zika virus research models." Virus Research 254 (August 2018): 15–20. http://dx.doi.org/10.1016/j.virusres.2017.07.025.

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Althuis, T., and L. Ichinose. "Animal models in research." Science 232, no. 4754 (May 30, 1986): 1079–80. http://dx.doi.org/10.1126/science.3704636.

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Kirkman, E., S. Watts, and G. Cooper. "Blast injury research models." Philosophical Transactions of the Royal Society B: Biological Sciences 366, no. 1562 (January 27, 2011): 144–59. http://dx.doi.org/10.1098/rstb.2010.0240.

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Blast injuries are an increasing problem in both military and civilian practice. Primary blast injury to the lungs (blast lung) is found in a clinically significant proportion of casualties from explosions even in an open environment, and in a high proportion of severely injured casualties following explosions in confined spaces. Blast casualties also commonly suffer secondary and tertiary blast injuries resulting in significant blood loss. The presence of hypoxaemia owing to blast lung complicates the process of fluid resuscitation. Consequently, prolonged hypotensive resuscitation was found to be incompatible with survival after combined blast lung and haemorrhage. This article describes studies addressing new forward resuscitation strategies involving a hybrid blood pressure profile (initially hypotensive followed later by normotensive resuscitation) and the use of supplemental oxygen to increase survival and reduce physiological deterioration during prolonged resuscitation. Surprisingly, hypertonic saline dextran was found to be inferior to normal saline after combined blast injury and haemorrhage. New strategies have therefore been developed to address the needs of blast-injured casualties and are likely to be particularly useful under circumstances of enforced delayed evacuation to surgical care.
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Dissertations / Theses on the topic "Research models"

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Benedetti, Andrea. "Generalized models in epidemiology research." Thesis, McGill University, 2004. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=84472.

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Traditionally, epidemiologists have used methods that categorize or assume a linear or log-linear form to model dose-response associations between continuous independent variables and binary or continuous outcomes. Recent advances in both statistical methodology and computing resources have made it possible to model relationships of greater complexity. Generalized additive models (GAMs) are a flexible nonparametric modelling tool that allows the user to model a variety of non-linear dose-response curves without imposing a priori assumptions about the functional form of the relationship. In GAMs, the extent of smoothing is controlled by the user-defined degrees of freedom (df). GAMs are generally used to: (i) suggest the parametric functional form for the association of interest; (ii) model the main effect nonparametrically; and (iii) control confounding by continuous covariates. By way of a series of simulation studies, this thesis addresses several unresolved methodological issues involving all three of these uses. Although GAMs have been used to detect and estimate thresholds in the association of interest, the methods have been mostly subjective or ad hoc, and the statistical properties have not been evaluated for the most part. In the first simulation study, a formal approach to the use of GAMs for this purpose is suggested and compared with simpler approaches. When GAMs are used to estimate the effect of the primary exposure of interest different approaches to determining the amount of smoothing are employed. In the second simulation study, the impact on statistical inference of various a priori and automatic df-selection strategies is investigated and a method to correct the type I error is introduced and evaluated.
In the final simulation study, parametric multiple logistic regression was compared with its nonparametric GAM extension in their ability to control for a continuous confounding variable and several issues related to the implementation of GAMs in this context are investigated.
The results of these simulations will help researchers make optimal use of the potential advantages of flexible assumption-free modelling.
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Lambert, Paul Christopher. "Hierarchical models in medical research." Thesis, University of Leicester, 2000. http://hdl.handle.net/2381/29361.

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This thesis describes and develops the use of hierarchical models in medical research from both a classical and Bayesian perspective. Hierarchical models are appropriate when observations are clustered into larger units within a data set, which is a common occurence in medical research. The use and versatility of hierarchical models is shown through a number of examples, with the aim of developing improved and more appropriate methods of analysis. The examples are real data sets and present real problems in terms of statistical analysis. The data sets presented include two data sets involved with longitudinal data where repeated measurements are clustered within individuals. One data set has repeated blood pressure measurements taken on pregnant women and the other consists of repeated peak expiratory flow measurements taken on asthmatic children. Bayesian and classical analyses are compared. A number of issues are explored including the modelling of complex mean profiles, interpretation and quantification of variance components and the modelling of heterogeneous within-subject variances. Other data sets are concerned with meta-analysis, where individuals are clustered within studies. The classical and Bayesian frameworks are compared and one data set investigates the potential to combine estimates from different study types in order to estimate the attributable risk. One of the meta-analysis data sets included individual patient data, where there is a substantial amount of missing covariate data. For this data set models that incorporate individuals with incomplete data when modelling survival times for children with Neuroblastoma are developed. This thesis thus demonstrates that hierarchical models are of great importance in analysing data in medical research. In many situations a Bayesian analysis provides a number of advantages over classical models especially when introducing realistic complexity that would be hard to incorporate using classical methodology.
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Spencer, Neil Hardy. "Longitudinal multilevel models in educational research." Thesis, Lancaster University, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.306918.

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NEVES, ANTONIO BERNARDO FERREIRA. "STATISTICAL MODELS IN ADVERTISING MARKET RESEARCH." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 1991. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=9046@1.

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A propaganda é sem dúvida uma das armas mais importantes do Markenting. Porém, medir sua eficiência a curto prazo como resultado do aumento de vendas pode ser uma tarefa árdua, principalmente quando este é comparado com resultados de promoções. Desta forma, modelos estatísticos vêm sendo desenvolvidos utilizando-se de outros tipos de medidas diferente do volume de vendas. Ao mesmo tempo, a propaganda passou a ser vista como algo mais científico. Mais ainda, ela tomou lugar de destaque dentro da Pesquisa de Mercado, gerando diversas tendências sobre a melhor forma de garantir o retorno em seu investimento. Assim, tenta-se aqui reunir a teoria e os resultados mais importantes e concretos da Pesquisa de Propaganda, de forma a apresentar uma metodologia que assegure esse retorno com alguma garantia.
The advertising is no doubt one of the most important weapons of Marketing. However, to measure its short-term efficiency as the result of sales increase can be a difficult task, mainly when it is compared to promotion results. For that, statistical models are being developed using other measures rather than sales volumes. At the same time, the advertising turn up to be seen in a more scientific way. Moreover, it took a remarkable place within the Marketing Research, creating different tendencies about the best way of guarenteeing the investiment return. Here is showed an essay of linking the theory and the most important and confirmed results of Advertising Reserch, presenting one methodology that assures this return with some guarantee.
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Messmacher, Eduardo B. (Eduardo Bernhart) 1972. "Models for project management." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/9217.

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Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2000.
Also available online at the DSpace at MIT website.
Includes bibliographical references (p. 119-122).
Organizations perform work essentially through operations and projects. The characteristics of projects makes them extremely difficult to manage: their non repetitive nature discards the trial and error learning, while their short life span is particularly unforgiving to misjudgments. Some authors have found that effective scheduling is an important contributor to the success of research and development (R&D), as well as construction projects. The widely used critical path method for scheduling projects and identifying important activities fails to capture two important dimensions of the problem: the availability of different technologies (or options) to perform the activities, and the inherent problem of limited availability of resources that most managers face. Nevertheless, when one tries to account for such additional constraints, the problems become very hard to solve. In this thesis we propose an approach to the scheduling problem using a genetic algorithm, and try to compare its performance to more traditional approaches, such as an extension to a very innovative Lagrangian relaxation approach recently proposed. The purpose of using genetic algorithms is twofold: first to obtain good approximations to very hard problems, and second to realize the limitations and virtues of this search technique. The purpose of this thesis is not only to develop the algorithms, but also to obtain insight about the implications of the additional constraints in the perspective of a project manager.
by Eduardo B. Messmacher.
S.M.
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Brus, Linda. "Recursive black-box identification of nonlinear state-space ODE models." Licentiate thesis, Uppsala : Department of Information Technology, Uppsala University, 2006. http://www.it.uu.se/research/publications/lic/2006-001/.

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Wiedemann, Michael. "Robust parameter design for agent-based simulation models with application in a cultural geography model." Thesis, Monterey, California : Naval Postgraduate School, 2010. http://edocs.nps.edu/npspubs/scholarly/theses/2010/Jun/10Jun%5FWiedemann.pdf.

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Thesis (M.S. in Operations Research)--Naval Postgraduate School, June 2010.
Thesis Advisor(s): Johnson, Rachel T. ; Second Reader: Baez, Francisco R, "June 2010." Description based on title screen as viewed on July 15, 2010. Author(s) subject terms: Cultural Geography, Agent-Based Model (ABM), Irregular Warfare (IW), Theory of planned Behavior (TpB), Baysian Belief Nets (BBN), Counterinsurgency Operations (COIN), Stability Operations, Discrete Event Simulation (DES), Design of Experiments (DOX), Robust Parameter Design (RPD). Includes bibliographical references (p. 69-70). Also available in print.
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Chandler, James D. "Estimating reliability with discrete growth models." Thesis, Monterey, Calif. : Naval Postgraduate School, 1988. http://edocs.nps.edu/npspubs/scholarly/theses/2008/Dec/08Dec%5FNAME.pdf.

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Monsch, Matthieu (Matthieu Frederic). "Large scale prediction models and algorithms." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/84398.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Operations Research Center, 2013.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 129-132).
Over 90% of the data available across the world has been produced over the last two years, and the trend is increasing. It has therefore become paramount to develop algorithms which are able to scale to very high dimensions. In this thesis we are interested in showing how we can use structural properties of a given problem to come up with models applicable in practice, while keeping most of the value of a large data set. Our first application provides a provably near-optimal pricing strategy under large-scale competition, and our second focuses on capturing the interactions between extreme weather and damage to the power grid from large historical logs. The first part of this thesis is focused on modeling competition in Revenue Management (RM) problems. RM is used extensively across a swathe of industries, ranging from airlines to the hospitality industry to retail, and the internet has, by reducing search costs for customers, potentially added a new challenge to the design and practice of RM strategies: accounting for competition. This work considers a novel approach to dynamic pricing in the face of competition that is intuitive, tractable and leads to asymptotically optimal equilibria. We also provide empirical support for the notion of equilibrium we posit. The second part of this thesis was done in collaboration with a utility company in the North East of the United States. In recent years, there has been a number of powerful storms that led to extensive power outages. We provide a unified framework to help power companies reduce the duration of such outages. We first train a data driven model to predict the extent and location of damage from weather forecasts. This information is then used in a robust optimization model to optimally dispatch repair crews ahead of time. Finally, we build an algorithm that uses incoming customer calls to compute the likelihood of damage at any point in the electrical network.
by Matthieu Monsch.
Ph.D.
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McLure, Stewart William Douglas. "Improving models for translational research in osteoarthritis." Thesis, University of Leeds, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.590471.

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Recent advances in medical technology have revealed osteoarthritis to be truly multifactorial, affecting all the major tissues in synovial joints. Despite these advances and the fact that osteoarthritis is the most prevalent joint disease worldwide, our grasp of its etiology and underlying pathological process is still remarkably poor. Subchondral bone pathology in osteoarthritis is one area in particular that has been neglected. Thus, investigators must focus on defining the processes that control the causation and repair mechanisms in osteoarthritis before a viable therapeutic target is identified. In vitro investigations have relied on animal models in osteoarthritis research; however the degree to which they reflect human properties differs and their validity remains in question. The overall aim of this thesis was to develop a greater understanding of the osteoarthritis disease process and characterise the tibiofemoral osteochondral properties of three quadrupeds, to improve in vitro osteoarthritis research. A novel fully quantitative methodology was utilised to characterise the natural history of bone marrow lesions, a form of trabecular bone disruption, in subjects with knee osteoarthritis. Using a combination of manual image segmentation and automated statistical bone shape modelling the spatial distribution and volumetric change over a 24 month period was investigated. Furthermore, cartilage segmentations were incorporated to determine whether bone marrow lesions correlated with osteochondral progression in osteoarthritis. Results revealed the lesions to be inherently unstable and prevalent in subjects with knee osteoarthritis. The spatial distribution and significant association to deleterious joint loading environment suggested a mechanical role in bone marrow lesion genesis. Worsening cartilage pathology was significantly associated with increased bone marrow lesion volume and a striking co-location between trabecular disruption and cartilage denudation was identified. These findings identified a clear need for further investigations focussed on the role of trabecular bone changes in osteoarthritis. In vitro analysis was targeted as a potential forum for these studies . - vi- Animals slaughtered for human consumption are routinely used in vitro for musculoskeletal studies. Unfortunately little data has been published validating model selection. A series of imaging and mechanical testing techniques were used to characterise variation in the osteochondral properties of porcine, bovine and ovine stifle joints. Significant interspecies variation in animal maturity and osteochondral morphological and mechanical properties were identified. Results indicated none of the quadrupeds provided an ideal whole joint model for the human knee; but careful selection based on empirical evidence and study goals could be justified. In conclusion, more must be done to investigate how trabecular disruption affects the osteoarthritis pathological pathway, particularly in articular cartilage. In vitro analysis offers a controlled environment to perform these investigations; however access to human cadaveric tissue is notoriously challenging. In vitro quadruped animal models offer an alternative tissue source; however species selection must be validated based on tissue properties, and the inherent limitations of the model must be recognised.
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Books on the topic "Research models"

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von Storch, Hans, and Götz Flöser, eds. Models in Environmental Research. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-59563-9.

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Osteoporosis research: Animal models. London: Springer, 2011.

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J, Sobel Matthew, ed. Stochastic models in operations research. Mineola, NY: Dover Publication, 2004.

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Mathematical models in cancer research. Bristol: A. Hilger, 1988.

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Estes, William K. Statistical models in behavioral research. Hillsdale, N.J: L. Erlbaum Associates, 1991.

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Tumor models in cancer research. 2nd ed. New York: Humana Press, 2011.

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Operations research: Deterministic optimization models. Englewood Cliffs, N.J: Prentice Hall, 1995.

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F, Bard Jonathan, ed. Operations research models and methods. Hoboken, N.J: Wiley, 2003.

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Zebrafish models in neurobehavioral research. New York: Humana Press, 2011.

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Wheldon, T. E. Mathematical models in cancer research. Bristol: Hilger, 1988.

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Book chapters on the topic "Research models"

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Eiselt, H. A., and C. L. Sandblom. "Inventory Models." In Operations Research, 339–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-10326-1_10.

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Eiselt, H. A., and C. L. Sandblom. "Network Models." In Operations Research, 177–215. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-10326-1_5.

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Eiselt, H. A., and C. L. Sandblom. "Location Models." In Operations Research, 217–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-10326-1_6.

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Kunzelman, K. S., and R. P. Cochran. "Computer Models." In Surgical Research, 453–70. New York, NY: Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4612-1888-3_50.

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Akalan, N. "Neuroendocrine Research Models." In Research and Publishing in Neurosurgery, 85–91. Vienna: Springer Vienna, 2002. http://dx.doi.org/10.1007/978-3-7091-6743-4_14.

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Plewig, Gerd, Bodo Melnik, and WenChieh Chen. "Acne Research Models." In Plewig and Kligman´s Acne and Rosacea, 595–608. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-49274-2_17.

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Rim, Chun T. "Conventional Models." In KAIST Research Series, 37–46. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0536-7_3.

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Schmidt, Peter, and Ann Dryden Witte. "Simple Models." In Research in Criminology, 48–65. New York, NY: Springer New York, 1988. http://dx.doi.org/10.1007/978-1-4612-3772-3_4.

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Eiselt, H. A., and C. L. Sandblom. "Waiting Line Models." In Operations Research, 379–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-10326-1_12.

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Otter, Thomas. "Bayesian Models." In Handbook of Market Research, 1–64. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-05542-8_24-1.

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Conference papers on the topic "Research models"

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Kesper, Arno, Viola Wenz, and Gabriele Taentzer. "Detecting quality problems in research data." In MODELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3365438.3410987.

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Oliden, Jose, and William Ipanaque. "Model predictive control with PWA models." In 2020 IEEE Engineering International Research Conference (EIRCON). IEEE, 2020. http://dx.doi.org/10.1109/eircon51178.2020.9254054.

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Lunk, Brandon R. "Using Conceptual Blending to model how we interpret computational models." In 2019 Physics Education Research Conference. American Association of Physics Teachers, 2020. http://dx.doi.org/10.1119/perc.2019.pr.lunk.

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Mukherjee, Amlan, Eddy M. Rojas, and William D. Winn. "Exploring Mental Models of Construction Managers." In Construction Research Congress 2005. Reston, VA: American Society of Civil Engineers, 2005. http://dx.doi.org/10.1061/40754(183)48.

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Hicks, Carolyn, Brenda McCabe, and Susan Tighe. "Evaluation of Work Zone Capacity Models." In Construction Research Congress 2009. Reston, VA: American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41020(339)11.

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Ruwanpura, Janaka, Samuel T. Ariaratnam, and Ashraf El-Assaly. "Rule Based Simulation Models for Sewer Infrastructure." In Construction Research Congress 2003. Reston, VA: American Society of Civil Engineers, 2003. http://dx.doi.org/10.1061/40671(2003)131.

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Golparvar-Fard, Mani, Silvio Savarese, and Feniosky Peña-Mora. "Automated Model-Based Recognition of Progress Using Daily Construction Photographs and IFC-Based 4D Models." In Construction Research Congress 2010. Reston, VA: American Society of Civil Engineers, 2010. http://dx.doi.org/10.1061/41109(373)6.

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Micklethwaite, Paul, Daniel Charny, Maya Alvarado, Julia Cassim, Yumei Dong, and Ian de Vere. "Fixperts: models, learning and social contexts." In Design Research Society Conference 2020. Design Research Society, 2020. http://dx.doi.org/10.21606/drs.2020.325.

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Hrepic, Zdeslav, Dean A. Zollman, and N. Sanjay Rebello. "Identifying Students' Models of Sound Propagation." In 2002 Physics Education Research Conference. American Association of Physics Teachers, 2002. http://dx.doi.org/10.1119/perc.2002.pr.006.

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Fracchiolla, Claudia, Noah D. Finkelstein, and Kathleen A. Hinko. "Characterizing Models of Informal Physics Programs." In 2018 Physics Education Research Conference. American Association of Physics Teachers, 2019. http://dx.doi.org/10.1119/perc.2018.pr.fracchiolla.

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Reports on the topic "Research models"

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Griep, Anne E. Transgenic Rat Models for Breast Cancer Research. Fort Belvoir, VA: Defense Technical Information Center, October 1997. http://dx.doi.org/10.21236/adb235877.

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Li, Yanfei, Yeonjin Bae, and Piljae Im. Surrogate Model of Flexible Research Platform EnergyPlus Models to Enable Sensitivity Analysis. Office of Scientific and Technical Information (OSTI), June 2021. http://dx.doi.org/10.2172/1817464.

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Wen, Zhaofang, and Ronald Brian Brightwell. Advanced parallel programming models research and development opportunities. Office of Scientific and Technical Information (OSTI), July 2004. http://dx.doi.org/10.2172/919129.

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Allen, D. H. Research on Damage Models for Continuous Fiber Composites. Fort Belvoir, VA: Defense Technical Information Center, July 1988. http://dx.doi.org/10.21236/ada200771.

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Allen, D. H., and C. E. Harris. Research on Damage Models for Continuous Fiber Composites. Fort Belvoir, VA: Defense Technical Information Center, February 1986. http://dx.doi.org/10.21236/ada175017.

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Allen, D. H., W. E. Haisler, and C. E. Harris. Research on Damage Models for Continuous Fiber Composites. Fort Belvoir, VA: Defense Technical Information Center, February 1985. http://dx.doi.org/10.21236/ada164121.

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Napier, Bruce A., Sandra F. Snyder, and Carmen Arimescu. Additional Research Needs to Support the GENII Biosphere Models. Office of Scientific and Technical Information (OSTI), November 2013. http://dx.doi.org/10.2172/1115840.

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Solano, Eric, Susanna Cantor, Philip Cooley, and Diane Wagener. Sharing Research Models: Using Software Engineering Practices for Facilitation. Research Triangle Park, NC: RTI Press, March 2011. http://dx.doi.org/10.3768/rtipress.2011.mr.0022.1103.

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Medearis, Bob D., and Michael Shoecraft. Models for Estimating Research and Development Manpower in Navy Laboratories. Fort Belvoir, VA: Defense Technical Information Center, October 1988. http://dx.doi.org/10.21236/ada199771.

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Donahue, Leah R. Mouse Models for Bone Research to Assess Military Stress Fracture Risk. Fort Belvoir, VA: Defense Technical Information Center, April 2005. http://dx.doi.org/10.21236/ada443570.

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