Gotowe bibliografie tematyczne / Models and model making, 1952

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Gotowa bibliografia na temat „Models and model making, 1952”

Autor: Grafiati

Data publikacji: 26 lipca 2024

Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Models and model making, 1952"

DÜPPE, TILL. "ARROW AND DEBREU DE-HOMOGENIZED." Journal of the History of Economic Thought 34, no. 4 (2012): 491–514. http://dx.doi.org/10.1017/s1053837212000491.

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To this day, the so-called Arrow–Debreu model represents a trademark of rigorous economic research—be it as a benchmark for extending the model, for weakening its assumptions, for structuring data sets, or for providing alternative models. But who should earn the credit? Arrow or Debreu? This essay presents “the making of” Arrow’s and Debreu’s joint article of 1954 as documented in their extensive letter exchange between their first contact in February 1952 and submission in May 1953. I show, pivotally, that Arrow and Debreu did not share the same interest in their work, that they played diffe

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Ankeny, Rachel A., Sabina Leonelli, Nicole C. Nelson, and Edmund Ramsden. "Making Organisms Model Human Behavior: Situated Models in North-American Alcohol Research, since 1950." Science in Context 27, no. 3 (2014): 485–509. http://dx.doi.org/10.1017/s0269889714000155.

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ArgumentWe examine the criteria used to validate the use of nonhuman organisms in North-American alcohol addiction research from the 1950s to the present day. We argue that this field, where the similarities between behaviors in humans and non-humans are particularly difficult to assess, has addressed questions of model validity by transforming the situatedness of non-human organisms into an experimental tool. We demonstrate that model validity does not hinge on the standardization of one type of organism in isolation, as often the case with genetic model organisms. Rather, organisms are viewe

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Heiderman, Ryan R., and Mark J. Kimsey. "A species-specific, site-sensitive maximum stand density index model for Pacific Northwest conifer forests." Canadian Journal of Forest Research 51, no. 8 (2021): 1166–77. http://dx.doi.org/10.1139/cjfr-2020-0426.

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Maximum stand density index (SDIMAX) models were developed for important Pacific Northwest conifers of western Oregon and Washington, USA, based on site and species influences and interactions. Inventory and monitoring data from numerous federal, state, and private forest management groups were obtained throughout the region to ensure a wide coverage of site characteristics. These observations include information on tree size, number, and species composition. The effects and influence on the self-thinning frontier of plot-specific factors such as climate, topography, soils, and geology, as wel

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Ramadhan, Ali J., Tufleuddin Biswas, Soumik Ray, et al. "Modeling and Forecasting of Coconut Area, Production, and Productivity Using a Time Series Model." BIO Web of Conferences 97 (2024): 00113. http://dx.doi.org/10.1051/bioconf/20249700113.

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The study aimed to compare ARIMA and Holt's models for predicting coconut metrics in Kerala. The coconut data series was collected from the period 1957 to 2019. Of this, 80% of the data (from 1957 to 2007) is treated as training data, and the rest (20% from 2008 to 2019) is treated as testing data. Ideal models were selected based on lower AIC and BIC values. Their accuracy was evaluated through error estimation on testing data, revealing Holt's exponential, linear, and ARIMA (0,1,0) models as the bestfit choices for predicting coconut area, production, and productivity respectively. After usi

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Nisha Bhagirath, Swami, Vaibhav Bhatnagar, and Linesh Raja. "A comparative analysis of optimized CNN models using bio-inspired algorithms." Journal of Information and Optimization Sciences 46, no. 2 (2025): 531–40. https://doi.org/10.47974/jios-1957.

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Nitrogen is a macronutrient that is responsible for crop development. Accurate nitrogen prediction improves crop productivity. This study aims to enhance nitrogen prediction in wheat crops using convolutional neural networks (CNN) with bio-inspired algorithms. CNN, which is widely used for image classification, relies on carefully chosen parameters such as the number of layers, learning rate and kernel sizes to perform effectively. These parameters were optimized using five bio-inspired algorithms. Optimization algorithms aid in selecting the parameters of CNNs to make them more accurate and e

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Juanita M. Costillas and Lorelie P. Duarte. "MODELLING PREDICTORS OF ENGLISH PROFICIENCY VIA REASONING ATTRIBUTES AMONG COLLEGE FRESHMEN." Journal of Educational and Human Resource Development (JEHRD) 2 (December 10, 2014): 133–40. http://dx.doi.org/10.61569/av09wv04.

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This study determined the model that most likely predicts English Proficiency among freshmen. Through secondary data analysis with 277 out of 554 freshmen who were randomly selected, majority were found to be on the below average level, both verbal and non-verbal reasoning attributes. Linear Regression and General Linear Models show the independent variables that most likely predict English Proficiency are verbal comprehension, verbal reasoning, figural reasoning, sex and course enrolled specifically engineering courses. Thus, this study supports James (1950), Freud (1953) and Donges (2001) wh

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Cooke, William N., Aneil K. Mishra, Gretchen M. Spreitzer, and Mary Tschirhart. "The Determinants of NLRB Decision-Making Revisited." ILR Review 48, no. 2 (1995): 237–57. http://dx.doi.org/10.1177/001979399504800203.

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The authors develop a model of NLRB decision-making that, unlike the models employed in previous studies, distinguishes between decision-making in more important, complex cases and less important, simpler cases. Using a representative sample of Board decisions over 1957–86, they find that in deciding the minority (20%) of disputes that were particularly important or complex, Board members were influenced by their personal preferences and those of Presidents who appointed them—a finding consistent with the results of previous studies. In the remaining cases (about 80%), however, Board members w

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McCarty, Nolan M., and Keith T. Poole. "An Empirical Spatial Model of Congressional Campaigns." Political Analysis 7 (1998): 1–30. http://dx.doi.org/10.1093/pan/7.1.1.

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Testing and estimating formal models of political behavior has not advanced as far as theoretical applications. One of the major literatures in formal theory is the spatial model of electoral competition which has its origins in the work of Black (1948) and Downs (1957). These models are used to make predictions about the policy positions candidates take in order to win elections. A lack of data on these candidate positions, especially challengers who never serve in Congress, has made direct testing of these models on congressional elections difficult.Recently, researchers have begun to incorp

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COLLANTES, FERNANDO. "Dairy Products and Shifts in Western Models of Food Consumption since 1950: A Spanish Perspective." Rural History 26, no. 2 (2015): 249–68. http://dx.doi.org/10.1017/s0956793315000060.

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Abstract:Through a case study of dairy products in Spain, this article discusses the evolution of what economist Louis Malassis called ‘food consumption models’ in the West from the Second World War. Two distinct consumption models are identified: a first model based on the massification of milk consumption, and a second model featuring decreasing dairy consumption, an increasing role for second-degree processed products and the emergence of new consumer segmentations. Rather than a sudden shift from the first to the second model, there was a punctuated sequence comprising an intermediate tran

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Schembs, Katharina. "Staging Work in the Corporatist State. Visual Propaganda in Fascist Italy and Peronist Argentina (1922-1955)." Anuario de Historia de América Latina 58 (December 28, 2021): 270–314. http://dx.doi.org/10.15460/jbla.58.162.

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Starting in 1922, Benito Mussolini (1922-1943) reformed Italian labour relations by adopting corporatism. As such, he served as a model for many other heads of state in search of ways out of economic crisis. When the corporatist model spread throughout Latin America in the 1930s and 1940s, the Argentine president Juan Domingo Perón (1946-1955) drew significantly on the Italian precedent. Adhering to an aestheticised concept of politics and making use of modern mass media, both regimes advertised corporatism in their respective visual propaganda, in which the worker came to play a prominent rol

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Rozprawy doktorskie na temat "Models and model making, 1952"

Wångmar, Erik. "Från sockenkommun till storkommun : En analys av storkommunreformens genomförande 1939-1952 i en nationell och lokal kontext." Doctoral thesis, Växjö universitet, Institutionen för humaniora, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-384.

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The primary aim of this study is to provide a deeper and more complete understanding of why the great municipal amalgamation (storkommunreformen) during the 1940s became the political solution to the problem that the Government believed many of Sweden’s municipalities had in satisfactorily providing for a local welfare society. The study also describes the results of this large-scale reorganization process. The events examined include the political decision-making process at the national level that took place during 1939-1949, as well as the regional/local realization of these decisions during

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Ouederni, Bechir Nacer. "Development of a strategic capital-expenditure decision model incorporating the product abandonment option." Diss., Virginia Tech, 1992. http://hdl.handle.net/10919/39036.

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Olid, Pilar. "Making Models with Bayes." CSUSB ScholarWorks, 2017. https://scholarworks.lib.csusb.edu/etd/593.

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Bayesian statistics is an important approach to modern statistical analyses. It allows us to use our prior knowledge of the unknown parameters to construct a model for our data set. The foundation of Bayesian analysis is Bayes' Rule, which in its proportional form indicates that the posterior is proportional to the prior times the likelihood. We will demonstrate how we can apply Bayesian statistical techniques to fit a linear regression model and a hierarchical linear regression model to a data set. We will show how to apply different distributions to Bayesian analyses and how the use of a pri

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Saboo, Pallabi. "A decision model to aid entry-mode strategy selection." Thesis, This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-09122009-040423/.

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Cho, Young Jin. "Effects of decomposition level on the intrarater reliability of multiattribute alternative evaluation." Diss., This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-06062008-171537/.

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Heller, Collin M. "A computational model of engineering decision making." Thesis, Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/50272.

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The research objective of this thesis is to formulate and demonstrate a computational framework for modeling the design decisions of engineers. This framework is intended to be descriptive in nature as opposed to prescriptive or normative; the output of the model represents a plausible result of a designer's decision making process. The framework decomposes the decision into three elements: the problem statement, the designer's beliefs about the alternatives, and the designer's preferences. Multi-attribute utility theory is used to capture designer preferences for multiple objectives under unc

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Duan, Chunming. "A unified decision analysis framework for robust system design evaluation in the face of uncertainty." Diss., This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-06062008-170155/.

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Andrews, Rick L. "Temporal changes in marketing mix effectiveness." Diss., This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-07282008-134759/.

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Abbas, Mustafa Sulaiman. "Consistency Analysis for Judgment Quantification in Hierarchical Decision Model." PDXScholar, 2016. https://pdxscholar.library.pdx.edu/open_access_etds/2699.

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The objective of this research is to establish consistency thresholds linked to alpha (α) levels for HDM’s (Hierarchical Decision Model) judgment quantification method. Measuring consistency in order to control it is a crucial and inseparable part of any AHP/HDM experiment. The researchers on the subject recommend establishing thresholds that are statistically based on hypothesis testing, and are linked to the number of decision variables and (α) level. Such thresholds provide the means with which to evaluate the soundness and validity of an AHP/HDM decision. The linkage of thresholds to (α) l

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Steffanny, Elaine. "Design communication through model making a taxonomy of physical models in interior design education /." [Ames, Iowa : Iowa State University], 2009. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1468135.

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Książki na temat "Models and model making, 1952"

ill, Fairclough Chris, ed. Model making. F. Watts, 1991.

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Bracewell, Michael. Re-make, re-model: Art, pop, fashion and the making of Roxy Music, 1953-1972. Faber and faber, 2007.

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John, Thompson. Making model horse-drawn vehicles. 3rd ed. John Thompson, 1994.

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Young, Susan Bensema. Guide to making model horse tack. S.B. Young, 1998.

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Marrewa, Jennifer. Making a model with solid figures. Weekly Reader Pub., 2008.

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Caket, Colin. Model a monster: Making dinosaurs from everyday materials. Blandford Press, 1986.

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Caket, Colin. Model a monster: Making dinosaurs from everyday materials. Blandford Press, 1986.

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Fordham, Basil F. Making and using working drawings for realistic model animals. Guild of Master Craftsman Publications, 2000.

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Fang, Liping. Interactive decision making: The graph model for conflict resolution. Wiley, 1993.

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Vanhonacker, Wilfried R. What does the multinomial logit model really measure. INSEAD, 1993.

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Części książek na temat "Models and model making, 1952"

Bayles, Michael D. "Alternative Decision-Making Models." In Procedural Justice. Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-1932-7_8.

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Thomson, Elizabeth. "Dyadic Models of Contraceptive Choice, 1957 and 1975." In Dyadic Decision Making. Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4612-3516-3_11.

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Altman, Jennifer S., and Jenny Kien. "A Model for Decision Making in the Insect Nervous System." In Nervous Systems in Invertebrates. Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1955-9_22.

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Bennett, Elaine. "Folk Theorems for the Proposal-Making Model." In Game Equilibrium Models III. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-662-07367-4_6.

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Zhukovin, Vladimir E. "A Fuzzy Multicriteria Decision Making Model." In Optimization Models Using Fuzzy Sets and Possibility Theory. Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3869-4_14.

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Ditterich, Jochen. "Distinguishing Between Models of Perceptual Decision Making." In An Introduction to Model-Based Cognitive Neuroscience. Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2236-9_13.

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Sun, Yong, Colin Fidge, and Lin Ma. "A Flexible Asset Maintenance Decision-Making Process Model." In Asset Condition, Information Systems and Decision Models. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2924-0_8.

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Hellenes, Andreas Mørkved. "Tracing the Nordic model." In The Making and Circulation of Nordic Models, Ideas and Images. Routledge, 2021. http://dx.doi.org/10.4324/9781003156925-6.

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Granadino, Alan, and Peter Stadius. "Adapting the Swedish model." In The Making and Circulation of Nordic Models, Ideas and Images. Routledge, 2021. http://dx.doi.org/10.4324/9781003156925-7.

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Yu, Ming-Miin, Bo Hsiao, and Kok Fong See. "Centralized DEA Model for Resource Allocation Among Internal Business Partnerships." In Decision Making Optimization Models for Business Partnerships. Chapman and Hall/CRC, 2025. https://doi.org/10.1201/9781003345206-5.

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Streszczenia konferencji na temat "Models and model making, 1952"

Ren, Yida, Yan Cui, and Jin Su. "An Autonomous Decision-Making Method for Unmanned Vehicle Based on the Collaboration of Large Language Model and Dedicated Models." In 2025 5th International Conference on Neural Networks, Information and Communication Engineering (NNICE). IEEE, 2025. https://doi.org/10.1109/nnice64954.2025.11064723.

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Halpern, Joseph Y., and Evan Piermont. "A Representation Theorem for Causal Decision Making." In 21st International Conference on Principles of Knowledge Representation and Reasoning {KR-2023}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/kr.2024/39.

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We show that it is possible to understand and identify a decision maker’s subjective causal judgements by observing her preferences over interventions. Following Pearl [2000, DOI: doi.org/10.1017/S0266466603004109 ], we represent causality using causal models (also called structural equations models), where the world is described by a collection of variables, related by equations. We show that if a preference relation over interventions satisfies certain axioms (related to standard axioms regarding counterfactuals), then we can define (i) a causal model, (ii) a probability capturing the decisi

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Adey, Robert, Madhu Sudan Sapkota, John Baynham, Edward Apeh, and Cristina Peratta. "Improving Integrity Management Decision Making Using Automated Calibration of Model Predictions from Cathodic-Protection (CP) Survey Data." In CONFERENCE 2022. AMPP, 2022. https://doi.org/10.5006/c2022-17557.

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Abstract The actual protection provided to structures by Cathodic-Protection (CP) systems will often be different from that predicted by design calculations. This is for various reasons, including for example coating degradation at a rate different from the accepted standards and practices, assumed environmental conditions not being representative, etc. In addition, structural or CP system changes and retrofits may have been made. It is important, therefore, that models of the structure, used to predict the current and future protection provided by the CP system, are recalibrated as survey dat

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Lynch, Hailey G., Aaron Bjarnason, Daniel J. Laky, Cameron J. Brown, and Alexander W. Dowling. "Optimizing Batch Crystallization with Model-based Design of Experiments." In Foundations of Computer-Aided Process Design. PSE Press, 2024. http://dx.doi.org/10.69997/sct.152239.

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Adaptive and self-optimizing intelligent systems such as digital twins are increasingly important in science and engineering. Digital twins utilize mathematical models to provide added precision to decision-making. However, physics-informed models are challenging to build, calibrate, and validate with existing data science methods. Model-based design of experiments (MBDoE) is a popular framework for optimizing data collection to maximize parameter precision in mathematical models and digital twins. In this work, we apply MBDoE, facilitated by the open-source package Pyomo.DoE, to train and val

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Dragt, R. C., J. Kraus, and C. L. Walters. "Calculation of Shell Element Failure Based on the State of Stress Inside of a Neck." In ASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/omae2015-41384.

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Simulation of failure in thin-walled structures is critical for the correct determination of crash performance of ships and offshore structures. Typically, shell elements are used, but these elements are not able to adequately capture local failure, especially inside of a neck. This paper addresses these gaps by adapting the Bridgman (1952) model of a neck inside of a plate by making it three-dimensional and offering an estimate of the relationship between state parameters of a shell element and the geometry inside of a neck. Finally, recommendations are also made about how to interface this i

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Hammer, Peter E., Michael S. Sacks, Pedro J. del Nido, and Robert D. Howe. "Mass-Spring vs. Finite Element Models of Anisotropic Heart Valves: Speed and Accuracy." In ASME 2010 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2010. http://dx.doi.org/10.1115/sbc2010-19521.

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Heat valve dysfunction can lead to heart failure and death, and surgery is the standard treatment. Valve repair surgery is performed under cardiopulmonary bypass making it difficult for the surgeon to know if a surgical modification will be effective when blood flow is restored. A surgical planning system has been proposed to improve surgical outcomes by allowing a surgeon to explore valve repair strategies on a computer model of a patient’s valve (1). Many groups have published computational models of heart valves based on the finite element (FE) method, but they are prohibitively slow for si

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Deka, Angshuman, Nima Hamta, Behzad Esmaeilian, and Sara Behdad. "Predictive Modeling Techniques to Forecast Energy Demand in the United States: A Focus on Economic and Demographic Factors." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-47474.

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Effective energy planning and governmental decision making policies heavily rely on accurate forecast of energy demand. This paper discusses and compares five different forecasting techniques to model energy demand in the United States using economic and demographic factors. Two Artificial Neural Network (ANN) models, two regression analysis models and one autoregressive integrated moving average (ARIMA) model are developed based on historical data from 1950–2013. While ANN model 1 and regression model 1 use Gross Domestic Product (GDP), Gross National Product (GNP) and per capita personal inc

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Kurowska, Krystyna, Hubert Kryszk, and Ewa Kietlinska. "The Use of Gravity Model in Spatial Planning." In Environmental Engineering. VGTU Technika, 2017. http://dx.doi.org/10.3846/enviro.2017.109.

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The GIS tools facilitate organised and formal creation of models presenting both the current state of and the forecasted changes in physical environment (ones that will occur if specific conditions are satisfied). Formulated in 1962, D. L. Huff’s algorithm is gaining in popularity nowadays; it helps determine the probability of a particular venue being chosen from amongst several competitive ones. Initially, it was used to define the optimal location of new points of sale; but with the technological progress of the GIS and with an increased demand for studies on distribution of venues or servi

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Myers, Marie J. "BRIDGING LANGUAGE GAPS OF L2 (SECOND LANGUAGE) TEACHERS BY OPTIMIZING THEIR SELF-AWARENESS." In International Conference on Education and New Developments. inScience Press, 2022. http://dx.doi.org/10.36315/2022v1end112.

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"During a Canada-wide consultation session of teacher trainers for future teachers of French, Canada’s official second language (L2), given the problematic situation of unprepared candidates with questionable mastery of the language, some instructors even retreated to a position stating that these students need to be encouraged although they are struggling with French. What this implies is placing role models in classes with inaccurate French, repeating the same situation if not making it even worse as indeed early French immersion is still the chosen protocol by Canadian non-French speaking p

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Mangold, David, and Ryan Huntley. "Utilizing Modern Data and Technologies for Pipeline Risk Assessment." In 2016 11th International Pipeline Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/ipc2016-64128.

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Risk management of gas and hazardous liquid pipeline systems is a core element of US integrity management regulations (49 CFR part 192, subpart O; 49 CFR 195.452) and a challenging responsibility facing operators worldwide. The importance of health, safety, and environmental protection demands a continuous evolution of industry expectations, practices, and regulations, with regulators and operators invariably seeking ways to advance risk modeling methodologies for pipeline risk assessment. The evolution to more advanced risk modeling methodologies marks a transitional trend from simple, relati

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Raporty organizacyjne na temat "Models and model making, 1952"

Nelson, Daniel, and Dean Foster. Filtering and Forecasting with Misspecified Arch Models II: Making the Right Forecast with the Wrong Model. National Bureau of Economic Research, 1992. http://dx.doi.org/10.3386/t0132.

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Pinheiro, Roberto B. Collusion in Repeated Auctions with Costless Communication. Federal Reserve Bank of Cleveland, 2024. http://dx.doi.org/10.26509/frbc-wp-202421.

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In this paper, we present a model of repeated first-price private value auctions in which the bidders have access to a cheap talk communication mechanism. In this framework, messages allow bidders to transmit their preference rankings over the goods to be auctioned, similar to Pesendorfer (2000). We show that collusion through this static mechanism not only dominates the static bid rotation mechanism presented by McAfee and McMillan (1992), but it is also not strictly dominated by the dynamic bid rotation mechanism presented by Aoyagi (2003). However, we show that asymptotic efficiency of coll

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Pasupuleti, Murali Krishna. Decision Theory and Model-Based AI: Probabilistic Learning, Inference, and Explainability. National Education Services, 2025. https://doi.org/10.62311/nesx/rriv525.

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Abstract Decision theory and model-based AI provide the foundation for probabilistic learning, optimal inference, and explainable decision-making, enabling AI systems to reason under uncertainty, optimize long-term outcomes, and provide interpretable predictions. This research explores Bayesian inference, probabilistic graphical models, reinforcement learning (RL), and causal inference, analyzing their role in AI-driven decision systems across various domains, including healthcare, finance, robotics, and autonomous systems. The study contrasts model-based and model-free approaches in decision-

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Barhak, Jacob. Supplemental Information: The Reference Model is a Multi-Scale Ensemble Model of COVID-19. Outbreak, 2021. http://dx.doi.org/10.34235/b7eaa32b-1a6b-444f-9848-76f83f5a733c.

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The COVID-19 pandemic has accelerated research worldwide and resulted in a large number of computational models and initiatives. Models were mostly aimed at forecast and resulted in different predictions partially since models were based on different assumptions. In fact the idea that a computational model is just an assumption attempting to explain a phenomenon has not been sufficiently explored. Moreover, the ability to combine models has not been fully realized. The Reference Model for disease progression was performing this task for years for diabetes models and recently started modeling C

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Messina, Francesca, Ioannis Georgiou, Melissa Baustian, et al. Real-time forecasting model development work plan. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47599.

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The objective of the Lowermost Mississippi River Management Program is to move the nation toward more holistic management of the lower reaches of the Mississippi River through the development and use of a science-based decision-making framework. There has been substantial investment in the last decade to develop multidimensional numerical models to evaluate the Lowermost Mississippi River (LMMR) hydrodynamics, sediment transport, and salinity dynamics. The focus of this work plan is to leverage the existing scientific knowledge and models to improve holistic management of the LMMR. Specificall

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Pasupuleti, Murali Krishna. Quantum Cognition: Modeling Decision-Making with Quantum Theory. National Education Services, 2025. https://doi.org/10.62311/nesx/rrvi225.

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Abstract Quantum cognition applies quantum probability theory and mathematical principles from quantum mechanics to model human decision-making, reasoning, and cognitive processes beyond the constraints of classical probability models. Traditional decision theories, such as expected utility theory and Bayesian inference, struggle to explain context-dependent reasoning, preference reversals, order effects, and cognitive biases observed in human behavior. By incorporating superposition, interference, and entanglement, quantum cognitive models offer a probabilistic framework that better accounts

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Carrillo, Carra, S. McKay, Safra Altman, and Todd Swannack. Ecological model development : Toolkit for interActive Modeling (TAM). Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45101.

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Ecological models provide crucial tools for informing many aspects of ecosystem restoration and management, ranging from increasing understanding of complex ecological functions to prioritizing restoration sites and quantifying benefits for project reporting. The diversity of ecosystem types and restoration objectives often precludes the use of existing models; as such, model development is commonly required to inform restoration decision-making. Index-based habitat models are a common approach for assessing ecosystem condition. These models relate habitat quality to species’ distributions. Ha

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Harris, Aubrey, Nathan Richards, and S. McKay. Defining levels of effort for ecological models. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47642.

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While models are useful tools for decision-making in environmental management, the question arises about the level of effort required to develop an effective model for a given application. In some cases, it is unclear whether more analysis would lead to choosing a better course of action. This technical note (TN) examines the role of ecological model complexity in ecosystem management. First, model complexity is examined through the lens of risk informed planning. Second, a framework is presented for categorizing five different levels of effort that range from conceptual models to detailed pre

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Leis. L51866 Field Studies to Support SCC Life Prediction Model. Pipeline Research Council International, Inc. (PRCI), 1997. http://dx.doi.org/10.55274/r0010357.

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One objective of this project was to gather and analyze SCC field data on lines being retested for use in assessing the validity of current or future SCC models. The scope of this initial study was limited to colonies of SCC in one valve section of a pipeline that runs from Texas to the northeast of the United States. This valve section had an early history of high pH SCC. The susceptibility since has been controlled through hydrotesting and modifications to the gas compression to meet upstream demand while reducing the discharge temperature. In addition to collecting data to validate models o

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Khoshnevisan, Sara, Mehdi Norouzi, and Laith Sadik. Use of Machine Learning Methods to Obtain a Reliable Predictive Model for Resilient Modulus of Subgrade Soil. Purdue University, 2024. https://doi.org/10.5703/1288284317768.

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This project explores the development and optimization of predictive models for the resilient modulus (MR) of subgrade soil using advanced machine learning techniques. Comprehensive data from INDOT spanning several years was analyzed to enhance the accuracy of MR predictions. The study not only refined the modeling approach through statistical methods and validation but also identified crucial soil properties that significantly impact MR values. Recommendations for future data collection were made to further improve the models. The developed models and these recommendations will be used to gui

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