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Автор: Grafiati
Опубліковано: 8 вересня 2023

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Статті в журналах з теми "Nested analysis"

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POSADA, DAVID, KEITH A. CRANDALL, and ALAN R. TEMPLETON. "Nested clade analysis statistics." Molecular Ecology Notes 6, no. 3 (September 2006): 590–93. http://dx.doi.org/10.1111/j.1471-8286.2006.01368.x.

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Zhang, Lingsong, Shu Lu, and J. S. Marron. "Nested nonnegative cone analysis." Computational Statistics & Data Analysis 88 (August 2015): 100–110. http://dx.doi.org/10.1016/j.csda.2015.01.008.

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Kim, Kang-Min, Nam-Ki Dae, and Joong-Woo Lee. "Analysis on Field Applicability of SWAN Nested Model." Journal of Korean navigation and port research 35, no. 1 (February 28, 2011): 45–49. http://dx.doi.org/10.5394/kinpr.2011.35.1.45.

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Bella, Tom, Vadim Olshevsky, and Michael Stewart. "Nested Product Decomposition of Quasiseparable Matrices." SIAM Journal on Matrix Analysis and Applications 34, no. 4 (January 2013): 1520–55. http://dx.doi.org/10.1137/12086354x.

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Stern, Julio M., and Stephen A. Vavasis. "Nested Dissection for Sparse Nullspace Bases." SIAM Journal on Matrix Analysis and Applications 14, no. 3 (July 1993): 766–75. http://dx.doi.org/10.1137/0614054.

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Heath, Michael T., and Padma Raghavan. "A Cartesian Parallel Nested Dissection Algorithm." SIAM Journal on Matrix Analysis and Applications 16, no. 1 (January 1995): 235–53. http://dx.doi.org/10.1137/s0895479892238270.

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Deo, Anthony J., and Rob DeSalle. "Nested areas of endemism analysis." Journal of Biogeography 33, no. 9 (September 2006): 1511–26. http://dx.doi.org/10.1111/j.1365-2699.2006.01559.x.

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8

Jung, S., I. L. Dryden, and J. S. Marron. "Analysis of principal nested spheres." Biometrika 99, no. 3 (July 24, 2012): 551–68. http://dx.doi.org/10.1093/biomet/ass022.

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9

Teng, Shang-Hua. "Fast Nested Dissection for Finite Element Meshes." SIAM Journal on Matrix Analysis and Applications 18, no. 3 (July 1997): 552–65. http://dx.doi.org/10.1137/s0895479895284282.

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Evertsson, Nubia. "A Nested Analysis of Electoral Donations." Journal of Mixed Methods Research 11, no. 1 (July 8, 2016): 77–98. http://dx.doi.org/10.1177/1558689815585208.

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This article reports the results of a nested analysis conducted to evaluate whether or not electoral donations are considered legal bribes. Introduced by Lieberman, nested analysis brings together the strengths of the regression analysis and the case study research by integrating large- N approaches (LNA) with small- N approaches (SNA). The nested analysis uses a sequential sampling model (QUANTITATIVE → QUALITATIVE) and a nested sampling design (case selection “on/off the line”). Here, Lieberman’s original model was extended to deal with an apparent paradox that emerged from the analysis. This inquiry included a cross-national examination among 78 countries, denoted as LNA, followed by an intranational analysis conducted in Colombia, where an SNA survey with 302 respondents and an SNA case study were carried out.
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Дисертації з теми "Nested analysis"

1

Manolopoulou, Ioanna. "A Bayesian approach to Nested Clade Analysis." Thesis, University of Cambridge, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.611441.

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Xiao, Weizhong. "Nested logit model analysis of aggregate sales response." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/10543.

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Sanders, Elizabeth A. "Multilevel Analysis Methods for Partially Nested Cluster Randomized Trials." UNIVERSITY OF WASHINGTON, 2012. http://pqdtopen.proquest.com/#viewpdf?dispub=3452760.

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Chang, Li-yen. "Nested logit analysis of vehicle occupancy and accident severity /." Thesis, Connect to this title online; UW restricted, 1997. http://hdl.handle.net/1773/10189.

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Bailey, Brittney E. "Data analysis and multiple imputation for two-level nested designs." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1531822703002162.

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Mynhardt, Glene. "Population genetics of the pecan weevil, Curculio caryae Horn (Coleoptera: Curculionidae), inferred from mitochondrial nucleotide data." Texas A&M University, 2006. http://hdl.handle.net/1969.1/4388.

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The pecan weevil, Curculio caryae Horn, is an obligate nut feeder of all North American hickory (Carya) and a key pest of the pecan, C. illinoinensis Koch. This study investigated population structure of the pecan weevil. Gene flow and genetic variation was estimated for 90 pecan weevil specimens sampled from the entire Carya range. Cladistic and nested clade analyses, as well as an analysis of molecular variance (AMOVA) of mitochondrial DNA cytochrome oxidase I (mtDNA COI) were performed. The data indicate C. caryae diverged from its sister species, C. nasicus approximately 4.3 million years before present (mybp). Six-hundred and forty equally parsimonious trees of 31 haplotypes demonstrated high genetic diversity across all pecan weevil samples, and significant regional subdivision. Three clades recovered in the parsimony and nested clade analyses were strongly associated with western, eastern and central localities sampled within C. caryae's range. The current distribution of C. caryae and population structure were explained by past glaciation events. Lineage divergence between the western and eastern populations occurred during the Pleistocene (approx. 1.1 million years ago), and a more recent divergence occurred between C. caryae populations east and west of the Appalachian mountain range (870,000 yrs. ago). Haplotypes were segregated by region, but further sampling is necessary to test for gene flow among these regions.
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Halsey, K. "Nested feedback systems : analysis and design within an H∞-loopshaping framework." Thesis, University of Cambridge, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.603601.

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There are two principle problems to address. Firstly, there is a greater degree of freedom in model approximation within the context on an inner-loop, as something less than closed-loop stability on C+ is required. The standard notions which under-pin the H∞-loopshaping framework, such as coprime factor and graph representations, readily generalise to connected subsets of C. However, to assess the fitness of any candidate approximation regarding inner-loop design we require a generalisation of the v-gap metric. This is obtained by removing the artificial dependence upon the existence of normalised coprime factorisations and working instead with a pointwise normalisation on the boundary. Secondly, we desire a means of synthesising a controller with a nested structure, that preserves the robustness guarantees associated with the conventional case. On the occasion that the inner-loop is implemented in observer form, we obtain a simple inequality relating the stability margins associated with a 2-loop nested feedback system. The guarantee this provides for the sequential approach to design is too weak to be of use. Two new methods are therefore developed which exploit the inequality to achieve a robustness guarantee. To complete this work, the generalised v-gap and a rigorous approach to nested feedback system synthesis are both applied to the design of a full flight control system for the USAF Have Dash II air-air missile.
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Savinov, Alexandr. "Concept-Oriented Model and Nested Partially Ordered Sets." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-140652.

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Concept-oriented model of data (COM) has been recently defined syntactically by means of the concept-oriented query language (COQL). In this paper we propose a formal embodiment of this model, called nested partially ordered sets (nested posets), and demonstrate how it is connected with its syntactic counterpart. Nested poset is a novel formal construct that can be viewed either as a nested set with partial order relation established on its elements or as a conventional poset where elements can themselves be posets. An element of a nested poset is defined as a couple consisting of one identity tuple and one entity tuple. We formally define main operations on nested posets and demonstrate their usefulness in solving typical data management and analysis tasks such as logic navigation, constraint propagation, inference and multidimensional analysis.
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Weaver, Brian Lee. "A methodology for ballistic missile defense systems analysis using nested neural networks." Thesis, Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/24675.

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Panchal, Mahesh. "Evaluating Nested Clade Phylogeographic Analysis Under Models of Random Mating and Restricted Gene Flow." Thesis, University of Reading, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.485584.

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Phylogeography is a field that has been constantly developing. Many methods exist that can be used to tease apart the demographic processes and events that affect a species evolution. One method in particular, Nested Clade Phylogeographic Analysis (NCPA), has become a popular method for doing this. It claims that the distance statistics it uses can discriminate between multiple demographic scenarios. However, a major limitation of NCPA is that it does not provide estimates of error. Lack of automation of two stages in NCPA has meant few datasets can be simulated. A fully automated package, ANeCA, is developed, tested and applied to published datasets to recover published inferences. Many inferences are recovered showing that ANeCA is representative of a typical application of NCPA. ANeCA is also applied to data simulated under a model of panmixia. Results show on average 76% of datasets gave rise to at least one inference of an event or process when there was no geographic association. This is due to the generation of multiple statistics per clade, and multiple clades per dataset. It is also shown that the statistics are not independent of each other, making it difficult to correct the multiple tests performed. ANeCA is also applied to simulated data under three models of gene flow; an island model; a stepping stone model; and a lat- , tice model with some long distance dispersal. The results show that NCPA has a tendency to infer Restricted Gene Flow with Isolation By Distance, and Contiguous Range Expansion, under panmixia and the three gene flow models. Unlike the panmictic model where other inferences were rare, many inferences are found in higher frequencies irrespective of the underlying gene flow model. Comparison between the island and stepping stone models show that NCPA is unable to discriminate between long and short distance movements. Three classical summary statistics; AMOVAj Fu's FSj and the Mantel test, were also calculated on each dataset. Results show false positives rates to be around 5% for the AMOVA method and Mantel test, and 3% for Fu's Fs at the deme level. In general the AMOVA method is more sensitive to population structure than NCPA, and the Mantel test is more sensitive to isolation by distance than NCPA. The results that have been obtained in this study suggest that previous publications that have used NCPA have most likely made false inferences and it is recommended that classical, and most probably model-based, methods of inference should be used in preference to NCPA.
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Книги з теми "Nested analysis"

1

Fraser, D. A. S. Non-nested linear models: A conditional confidence approach. toronto: University of Toronto, Dept. of Statistics, 1985.

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Riccio, Gary E. Multimodal perception and multicriterion control of nested systems. Houston, Tex: National Aeronautics and Space Administration, Lyndon B. Johnson Space Center, 1999.

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3

Kannan, P. K. Effectiveness of marketing promotions: An analysis using a nested logit model. West Lafayette, Ind: Institute for Research in the Behavioral, Economic, and Management Sciences, Krannert Graduate School of Management, Purdue University, 1990.

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4

Bhatti, M. Ishaq. Non-Nested Regression Models: UK ed. edition. Hauppauge, New York, USA: Nova Science Publishers Inc, 2013.

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5

Murphy, Karl. Nested Analysis: Identifying and Applying Qualitative Illustration Support for Logistic Regression Models. 1 Oliver's Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications, Ltd., 2019. http://dx.doi.org/10.4135/9781526496478.

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Toutenburg, Helge. MSE-comparisons between restricted least squares, mixed, and weighted mixed estimators with special emphasize [i.e. emphasis] to nested restrictions. Berlin: Akademie der Wissenschaften der DDR, Karl-Weierstrass-Institut für Mathematik, 1988.

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7

Illinois. Natural History Survey Division., Oak Ridge National Laboratory, and United States. National Aeronautics and Space Administration., eds. Interpreting forest and grassland biome productivity utilizing nested scales of image resolution and biogeographical analysis. [Washington, DC: National Aeronautics and Space Administration, 1986.

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8

United States. National Aeronautics and Space Administration., ed. Interpreting forest and grassland biome productivity utilizing nested scales of image resolution and biogeographical analysis. [Washington, DC?: National Aeronautics and Space Administration, 1987.

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9

Illinois. Natural History Survey Division, Oak Ridge National Laboratory, and United States. National Aeronautics and Space Administration, eds. Interpreting forest and grassland biome productivity utilizing nested scales of image resolution and biogeographical analysis. [Washington, DC: National Aeronautics and Space Administration, 1986.

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10

Illinois. Natural History Survey Division., Oak Ridge National Laboratory, and United States. National Aeronautics and Space Administration., eds. Interpreting forest and grassland biome productivity utilizing nested scales of image resolution and biogeographical analysis. [Washington, DC: National Aeronautics and Space Administration, 1986.

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Частини книг з теми "Nested analysis"

1

Yandell, Brian S. "Nested Designs." In Practical Data Analysis for Designed Experiments, 337–56. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4899-3035-4_22.

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Bonin, Serena, and Isabella Dotti. "Nested-PCR." In Guidelines for Molecular Analysis in Archive Tissues, 111–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17890-0_22.

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3

Sahai, Hardeo, and Mohammed I. Ageel. "Partially Nested Classifications." In The Analysis of Variance, 431–60. Boston, MA: Birkhäuser Boston, 2000. http://dx.doi.org/10.1007/978-1-4612-1344-4_8.

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Yandell, Brian S. "General Nested Designs." In Practical Data Analysis for Designed Experiments, 369–80. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4899-3035-4_24.

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Abd-El-Hafiz, Salwa K., and Victor R. Basili. "Analysis of Nested Loops." In A Knowledge-Based Approach to Program Understanding, 41–59. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-2279-9_5.

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Stein Shiromoto, Humberto. "Analysis Under Nested Criteria." In Design and Analysis of Control Systems, 37–69. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52012-4_3.

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Sahai, Hardeo, and Mario Miguel Ojeda. "Two-Way Nested Classification." In Analysis of Variance for Random Models, 277–331. Boston, MA: Birkhäuser Boston, 2004. http://dx.doi.org/10.1007/978-0-8176-8168-5_6.

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Sahai, Hardeo, and Mohammed I. Ageel. "Two-Way Nested (Hierarchical) Classification." In The Analysis of Variance, 347–94. Boston, MA: Birkhäuser Boston, 2000. http://dx.doi.org/10.1007/978-1-4612-1344-4_6.

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Yang, Hongjiu, Yuanqing Xia, and Qing Geng. "Analysis for Nested Actuator Saturation." In Studies in Systems, Decision and Control, 129–39. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3660-7_7.

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Fiedor, Tomáš, Lukáš Holík, Ondřej Lengál, and Tomáš Vojnar. "Nested Antichains for WS1S." In Tools and Algorithms for the Construction and Analysis of Systems, 658–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-46681-0_59.

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Тези доповідей конференцій з теми "Nested analysis"

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Economou, P., Theodore E. Simos, George Psihoyios, and Ch Tsitouras. "Testing Nested Distributions." In ICNAAM 2010: International Conference of Numerical Analysis and Applied Mathematics 2010. AIP, 2010. http://dx.doi.org/10.1063/1.3498279.

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Ramos, Paulo, João T. Mexia, Francisco Carvalho, Ricardo Covas, Theodore E. Simos, George Psihoyios, Ch Tsitouras, and Zacharias Anastassi. "Interaction in Balanced Cross Nested Designs." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2011: International Conference on Numerical Analysis and Applied Mathematics. AIP, 2011. http://dx.doi.org/10.1063/1.3636918.

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Moch, Sven-Olaf. "From Feynman Integrals to Nested Sums." In XI International Workshop on Advanced Computing and Analysis Techniques in Physics Research. Trieste, Italy: Sissa Medialab, 2009. http://dx.doi.org/10.22323/1.050.0083.

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Grishagin, Vladimir A., and Ruslan A. Israfilov. "Global search acceleration in the nested optimization scheme." In INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2015 (ICNAAM 2015). Author(s), 2016. http://dx.doi.org/10.1063/1.4952198.

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Schenck, Robert, Ola Ronning, Troels Henriksen, and Cosmin E. Oancea. "AD for an Array Language with Nested Parallelism." In SC22: International Conference for High Performance Computing, Networking, Storage and Analysis. IEEE, 2022. http://dx.doi.org/10.1109/sc41404.2022.00063.

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Gao, Huameng, Fan Yang, and Lei Shi. "Nested test design and data analysis in SAS." In 2017 5TH INTERNATIONAL CONFERENCE ON COMPUTER-AIDED DESIGN, MANUFACTURING, MODELING AND SIMULATION (CDMMS 2017). Author(s), 2017. http://dx.doi.org/10.1063/1.4981610.

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Jenkins, B. "Sustainable water management analysis using nested adaptive systems." In WATER RESOURCES MANAGEMENT 2015. Southampton, UK: WIT Press, 2015. http://dx.doi.org/10.2495/wrm150041.

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Qu, Long, Laura Grigori, and Frédéric Nataf. "Parallel design and performance of nested filtering factorization preconditioner." In SC13: International Conference for High Performance Computing, Networking, Storage and Analysis. New York, NY, USA: ACM, 2013. http://dx.doi.org/10.1145/2503210.2503287.

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Aoust, G., J. Barrientos Barria, H. Coudert-Alteirac, Q. Clement, D. Mammez, M. Raybaut, J. B. Dherbecourt, J. M. Melkonian, A. Godard, and M. Lefebvre. "Nested Cavity Optical Parametric Oscillator (NesCOPO) A unique approach for gas sensing." In Laser Applications to Chemical, Security and Environmental Analysis. Washington, D.C.: OSA, 2014. http://dx.doi.org/10.1364/lacsea.2014.lw4d.5.

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Kundalia, Sejal, Vivek Unadkat, and Surabhi Dwivedi. "Comparative analysis of fractal based nested triangular microstrip antenna." In 2014 2nd International Conference on Emerging Technology Trends in Electronics, Communication and Networking (ET2ECN). IEEE, 2014. http://dx.doi.org/10.1109/et2ecn.2014.7044958.

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Звіти організацій з теми "Nested analysis"

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Gasper, K. A. Nested, fixed-depth fluidic sampler and analysis system deployment strategy and plan. Office of Scientific and Technical Information (OSTI), July 1998. http://dx.doi.org/10.2172/362436.

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REICH, F. R. Nested Fixed Depth Fluidic Sampler and At Tank Analysis System Deployment Strategy and Plan. Office of Scientific and Technical Information (OSTI), February 2000. http://dx.doi.org/10.2172/801308.

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REICH, F. R. Engineering task plan for development, fabrication, and deployment of nested, fixed depth fluidic sampling and at-tank analysis systems. Office of Scientific and Technical Information (OSTI), May 1999. http://dx.doi.org/10.2172/782254.

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Narayanan, Badri, Thomas Hertel, and Mark Horridge. Disaggregated Data and Trade Policy Analysis: The Value of Linking Partial and General Equilibrium Models. GTAP Working Paper, July 2009. http://dx.doi.org/10.21642/gtap.wp56.

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Анотація:
Computable General Equilibrium (CGE) models are now routinely utilized for the evaluation of trade policy reforms, yet they are typically quite highly aggregated, which limits their usefulness to trade negotiators who are often interested in impacts at the tariff line. On the other hand, Partial Equilibrium (PE) models, which are typically used for analysis at disaggregate levels, deprive the researcher of the benefits of an economy-wide analysis, which is required to examine the overall impact of broad-based trade policy reforms. Therefore, a PE-GE, nested modeling framework has the prospect of offering an ideal tool for trade policy analysis. In this paper, we develop a PE model that captures international trade, domestic consumption and output, using Constant Elasticity of Transformation (CET) and Constant Elasticity of Substitution (CES) structures, market clearing conditions and price linkages, nested within the standard GTAP Model. In particular, we extend the welfare decomposition of Huff and Hertel (2001) to this PE-GE model in order to contrast the sources of welfare gain in PE and GE analyses. To illustrate the usefulness of this model, we examine the contentious issue of tariff liberalization in the Indian auto sector, using PE, GE and PE-GE models. Both the PE and PE-GE models show that the imports of Motorcycles and Automobiles change drastically with both unilateral and bilateral tariff liberalization by India, but the PE model does a poor job predicting the overall size and price level in the industry, post-liberalization. On the other hand, the GE model overestimates substitution between regional suppliers due to “false competition” and underestimates the welfare gain, due to the problem of tariff averaging in the aggregated model. These findings are shown to be robust to wide variation in model parameters. We conclude that the linked model is superior to both the GE and PE counterparts.
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BOGER, R. M. Engineering Task Plan for Development and Fabrication and Deployment of Nested Fixed Depth Fluidic Sampling and At Tank Analysis Systems. Office of Scientific and Technical Information (OSTI), October 2000. http://dx.doi.org/10.2172/805624.

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6

Narayanan, Badri, Thomas Hertel, and Mark Horridge. Linking Partial and General Equilibrium Models: A GTAP Application Using TASTE. GTAP Technical Paper, February 2010. http://dx.doi.org/10.21642/gtap.tp29.

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Анотація:
CGE models are utilized for the evaluation of trade policy reforms, yet they are typically highly aggregated, limiting their usefulness to trade negotiators interested in impacts at the tariff line. Partial Equilibrium (PE) models used for disaggregate analysis lack the benefits of an economy-wide analysis required to examine the overall impact of trade policy reforms. This suggests the need for a PE-GE, nested modeling framework to support trade policy analysis. In this paper, we develop a PE model that captures international trade, domestic consumption and output, using CET and CES structures, market clearing conditions and price linkages, nested within the standard GTAP Model. In addition, we extend the welfare decomposition of Huff and Hertel (2001) to this PE-GE model to contrast the sources of welfare gain among models. To illustrate the value-added of this model, we examine the impact of multi-lateral tariff liberalization on the Indian economy, with special focus on the auto sector, using PE, GE and PE-GE models. The PE model does not predict the change in overall size and price level for the industry well, while the GE model underestimates the aggregate welfare gain due to tariff averaging. It also fails to account for the change in industry composition resulting from trade reform. These findings are robust to wide variation in model parameters. We conclude that the linked model is superior to both the GE and PE counterparts.
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Apgar, Marina, Mieke Snijder, Pedro Prieto Martin, Giel Ton, Shona Macleod, Shanta Kakri, and Sukanta Paul. Designing Contribution Analysis of Participatory Programming to Tackle the Worst Forms of Child Labour. Institute of Development Studies, August 2022. http://dx.doi.org/10.19088/clarissa.2022.003.

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This Research and Evidence Paper presents the theory-based and participatory evaluation design of the Child Labour: Action-Research- Innovation in South and South-Eastern Asia (CLARISSA) programme. The evaluation is embedded in emergent Participatory Action Research with children and other stakeholders to address the drivers of the worst forms of child labour (WFCL). The report describes the use of contribution analysis as an overarching approach, with its emphasis on crafting, nesting and iteratively reflecting on causal theories of change. It illustrates how hierarchically-nested impact pathways lead to specific evaluation questions and mixing different evaluation methods in response to these questions, critical assumptions, and agreement on causal mechanisms to be examined in depth. It also illustrates how realist evaluation can be combined with contribution analysis to deeply investigate specific causal links in the theory of change. It reflects on learning from the use of causal hotspots as a vehicle for mixing methods. It offers considerations on how to navigate relationships and operational trade-offs in making methodological choices to build robust and credible evidence on how, for whom, and under what conditions participatory programming can work to address complex problems such as child labour.
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Zhang, Yongping, Wen Cheng, and Xudong Jia. Enhancement of Multimodal Traffic Safety in High-Quality Transit Areas. Mineta Transportation Institute, February 2021. http://dx.doi.org/10.31979/mti.2021.1920.

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Numerous extant studies are dedicated to enhancing the safety of active transportation modes, but very few studies are devoted to safety analysis surrounding transit stations, which serve as an important modal interface for pedestrians and bicyclists. This study bridges the gap by developing joint models based on the multivariate conditionally autoregressive (MCAR) priors with a distance-oriented neighboring weight matrix. For this purpose, transit-station-centered data in Los Angeles County were used for model development. Feature selection relying on both random forest and correlation analyses was employed, which leads to different covariate inputs to each of the two jointed models, resulting in increased model flexibility. Utilizing an Integrated Nested Laplace Approximation (INLA) algorithm and various evaluation criteria, the results demonstrate that models with a correlation effect between pedestrians and bicyclists perform much better than the models without such an effect. The joint models also aid in identifying significant covariates contributing to the safety of each of the two active transportation modes. The research results can furnish transportation professionals with additional insights to create safer access to transit and thus promote active transportation.
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González, Javier, Dante Castillo-Canales, Monserrat Creamer, and Magali Ramos Jarrin. Misalignments and Incoherencies within Ecuador's Education System: How Well Are Key Actors and Public Efforts Aligned towards Better Learning Outcomes? Research on Improving Systems of Education (RISE), March 2023. http://dx.doi.org/10.35489/bsg-rise-wp_2023/137.

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This study aims to identify the main critical misalignments and inconsistencies nested in the Ecuadorian education system, which inhibit and limit its capacity to transform efforts, resources, and reforms into better learning outcomes for all students. To do so, it uses an innovative methodology developed by the RISE (Research on Improving Systems of Education) programme based on a 'Systems Thinking' perspective. This approach allows the analysis of key actors, their incentives, and interactions, to assess the overall alignment of the system and the existence of barriers that might prevent the system transitioning towards better learning outcomes. This study is based mainly on qualitative methods and information collected in the field through interviews, focus groups and surveys held in the first semester of 2022 in three cities in Ecuador: Quito, Tena, and Guayaquil. In total, more than 50 stakeholders from different regions and levels of the education system actively participated in this effort, targeted towards the identification and discussion of the inconsistencies and critical issues described in this study. The report has five sections that offer a detailed account of the implementation of the RISE diagnostic framework in the Ecuadorian educational system.
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Idakwo, Gabriel, Sundar Thangapandian, Joseph Luttrell, Zhaoxian Zhou, Chaoyang Zhang, and Ping Gong. Deep learning-based structure-activity relationship modeling for multi-category toxicity classification : a case study of 10K Tox21 chemicals with high-throughput cell-based androgen receptor bioassay data. Engineer Research and Development Center (U.S.), July 2021. http://dx.doi.org/10.21079/11681/41302.

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Deep learning (DL) has attracted the attention of computational toxicologists as it offers a potentially greater power for in silico predictive toxicology than existing shallow learning algorithms. However, contradicting reports have been documented. To further explore the advantages of DL over shallow learning, we conducted this case study using two cell-based androgen receptor (AR) activity datasets with 10K chemicals generated from the Tox21 program. A nested double-loop cross-validation approach was adopted along with a stratified sampling strategy for partitioning chemicals of multiple AR activity classes (i.e., agonist, antagonist, inactive, and inconclusive) at the same distribution rates amongst the training, validation and test subsets. Deep neural networks (DNN) and random forest (RF), representing deep and shallow learning algorithms, respectively, were chosen to carry out structure-activity relationship-based chemical toxicity prediction. Results suggest that DNN significantly outperformed RF (p < 0.001, ANOVA) by 22–27% for four metrics (precision, recall, F-measure, and AUPRC) and by 11% for another (AUROC). Further in-depth analyses of chemical scaffolding shed insights on structural alerts for AR agonists/antagonists and inactive/inconclusive compounds, which may aid in future drug discovery and improvement of toxicity prediction modeling.
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