Relevant bibliographies by topics / Model the dynamic dimension

Contents

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

Academic literature on the topic 'Model the dynamic dimension'

Author: Grafiati
Published: 28 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Model the dynamic dimension"

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HUET, SYLVIE, and GUILLAUME DEFFUANT. "OPENNESS LEADS TO OPINION STABILITY AND NARROWNESS TO VOLATILITY." Advances in Complex Systems 13, no. 03 (2010): 405–23. http://dx.doi.org/10.1142/s0219525910002633.

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We propose a new opinion dynamic model based on the experiments and results of Wood et al. (1996). We consider pairs of individuals discussing on two attitudinal dimensions, and we suppose that one dimension is important, the other secondary. The dynamics are mainly ruled by the level of agreement on the main dimension. If two individuals are close on the main dimension, then they attract each other on the main and on the secondary dimensions, whatever their disagreement on the secondary dimension. If they are far from each other on the main dimension, then too much proximity on the secondary
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Hall, E., S. Kessler, and S. Hanagud. "Use of Fractal Dimension in the Characterization of Chaotic Structural Dynamic Sytems." Applied Mechanics Reviews 44, no. 11S (1991): S107—S113. http://dx.doi.org/10.1115/1.3121342.

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The purpose of this paper is to investigate the use of fractal dimensions in the characterization of chaotic systems in structural dynamics. The investigation focuses on the example of a simply-supported, Euler-Bernoulli beam which when subjected to a transverse forcing function of a particular amplitude responds chaotically. Three different nonlinear models of the system are studied: a complex partial differential equation (PDE) model, a simplified PDE model, and a Galerkin approximation to the simpler PDE model. The responses of each model are examined through zero velocity Poincare´ section
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Ritmak, Nutthawut, Wanchai Rattanawong, and Varin Vongmanee. "The Dynamic Evaluation Model of Health Sustainability under MCDM Benchmarking Health Indicator Standards." International Journal of Environmental Research and Public Health 20, no. 1 (2022): 259. http://dx.doi.org/10.3390/ijerph20010259.

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The coronavirus pandemic causing millions of deaths around the world has raised awareness of the importance of healthcare in a city, especially its efficiency in the city’s system. Although the health dimension is found to have critical effects on sustainable development in addition to the existing three dimensions, the majority of sustainability assessments that are developed based on the UN’s Sustainable Development Goals (SDGs) do not define standards for each indicator. On the contrary, an effective assessment model should be dynamic and suitable to the context of each city by referring to
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Boersma, Sjoerd, Bart Doekemeijer, Mehdi Vali, Johan Meyers, and Wingerden Jan-Willem van. "A control-oriented dynamic wind farm model: WFSim." Wind Energy Science 3, no. 1 (2018): 75–95. https://doi.org/10.5281/zenodo.2556520.

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Wind turbines are often sited together in wind farms as it is economically advantageous. Controlling the flow within wind farms to reduce the fatigue loads, maximize energy production and provide ancillary services is a challenging control problem due to the underlying time-varying non-linear wake dynamics. In this paper, we present a control-oriented dynamical wind farm model called the WindFarmSimulator (WFSim) that can be used in closed-loop wind farm control algorithms. The three-dimensional Navier–Stokes equations were the starting point for deriving the control-oriented dynamic win
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Fischer, Lorenz Benedikt. "The bias of avoiding spatial dynamic panel models." REGION 8, no. 1 (2021): 153–80. http://dx.doi.org/10.18335/region.v8i1.316.

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Many questions in urban and regional economics can be characterized as including both a spatial and a time dimension. However, often one of these dimensions is neglected in empirical work. This paper highlights the danger of methodological inertia, investigating the effect of neglecting the spatial or the time dimension when in fact both are important. A tale of two research teams, one living in a purely dynamic and the other in a purely spatial world of thinking, sets the scene. Because the researcher teams' choices to omit a dimension change the assumed optimal estimation strategies, the iss
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Paluch, Alicja, and Henryk Spustek. "National Economic Power. Dynamic Model." Security Dimensions 38, no. 38 (2021): 22–36. http://dx.doi.org/10.5604/01.3001.0015.6516.

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The national power can be considered in a static and dynamic aspect as well. This applies to all dimensions of the national power, both military and non-military, including the economic one presented in this article. The national power, treated in a static sense as one of the leading features of the state and estimated over a given period, can only be descriptive. On the other hand, it gains a new dimension in a dynamic sense that consists in the possibility of developing the research into a prognostic area. Therefore, this approach to the issue of the national power has been presented here. T
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Boersma, Sjoerd, Bart Doekemeijer, Mehdi Vali, Johan Meyers, and Jan-Willem van Wingerden. "A control-oriented dynamic wind farm model: WFSim." Wind Energy Science 3, no. 1 (2018): 75–95. http://dx.doi.org/10.5194/wes-3-75-2018.

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Abstract. Wind turbines are often sited together in wind farms as it is economically advantageous. Controlling the flow within wind farms to reduce the fatigue loads, maximize energy production and provide ancillary services is a challenging control problem due to the underlying time-varying non-linear wake dynamics. In this paper, we present a control-oriented dynamical wind farm model called the WindFarmSimulator (WFSim) that can be used in closed-loop wind farm control algorithms. The three-dimensional Navier–Stokes equations were the starting point for deriving the control-oriented dynamic
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Luo, Yong Liang, Lin Zhang, Kui Ping Zhang, and Fei Tao. "Research on the Knowledge-Based Multi-Dimensional Information Model of Manufacturing Capability in CMfg." Advanced Materials Research 472-475 (February 2012): 2592–95. http://dx.doi.org/10.4028/www.scientific.net/amr.472-475.2592.

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Cloud manufacturing (CMfg) is a new service-oriented, highly efficient, lowly consumption knowledge based, and intelligent networked manufacturing model. It aims to achieve on-demand use, dynamic collaborative work, and circulation of manufacturing resources and manufacturing capability(MC). In order to achieve the above goal proposed, how to realize the formal description of MC is the key point in CMfg. This paper emphasizes the multi-dimensional information model of MC based on knowledge. According to the requirement and characteristics of manufacturing, the concept and connotation of MC wer
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Razaqpur, A. G., A. O. Abd El Halim, and Hosny A. Mohamed. "Bridge management by dynamic programming and neural networks." Canadian Journal of Civil Engineering 23, no. 5 (1996): 1064–69. http://dx.doi.org/10.1139/l96-913.

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Bridges and pavements represent the major investment in a highway network. In addition, they are in constant need of maintenance, rehabilitation, and replacement. One of the problems related to highway infrastructure is that the cost of maintaining a network of bridges with an acceptable level-of-service is more than the budgeted funds. For large bridge networks, traditional management practices have become inadequate for dealing with this serious problem. Bridge management systems are a relatively new approach developed to solve the latter problem, following the successful application of simi
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Narieswari, Lalitya, Santun R. P. Sitorus, Hartrisari Hardjomidjojo, and Eka Intan Kumala Putri. "Spatial Dynamic Model of Index-Based Disaster Resilience." Journal of Regional and City Planning 33, no. 3 (2023): 405–20. http://dx.doi.org/10.5614/jpwk.2022.33.3.7.

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Measurement and development of resilience are essential in disaster risk reduction programs. Furthermore, efforts are needed to measure resilience baselines to track changes over time and compare areas for monitoring and evaluating resilience development. Therefore, this study identified dimensions and indicators for measuring resilience using a statistical approach and developed an index-based spatial resilience model in a web-GIS environment. This paper presents the spatial distribution of urban resilience to disasters in Semarang City at the sub-district level. Factor analysis showed that 2
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Dissertations / Theses on the topic "Model the dynamic dimension"

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Nasekin, Sergey. "Dynamic dimension reduction for financial applications." Doctoral thesis, Humboldt-Universität zu Berlin, Wirtschaftswissenschaftliche Fakultät, 2017. http://dx.doi.org/10.18452/17696.

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In den letzten Jahren gab es ein drastisches Wachstum in verfügbaren Finanzdaten. Finanzmärkte haben starke und oft nicht ganz vorhersagbare Änderungen ihrer Dynamik erlebt. Diese Tendenz hat dazu geführt, dass die Methoden der Risikomodellierung sowohl das Problem der hohen Dimensionalität als auch dynamische nicht Gaußsche Strukturen behandeln müssen. Das Ziel dieser Dissertation ist es, Methoden der Risikomodellierung vorzuschlagen, die gleichzeitig Reduzierung der Dimensionalität und dynamische Struktur in drei Anwendungen erlauben: 1) Asset Allocation und Hedging, 2) stochastische Mode
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Harwood, Thomas David. "Dynamic three-dimensional plant-microclimate simulation model 'Ecospace'." Thesis, University of Edinburgh, 1996. http://hdl.handle.net/1842/10946.

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Growing plants modify the microclimate within which they grow by altering their physical structure. Thus individuals affect the subsequent growth of both themselves and competing neighbours. It is important that this feedback be represented in a model of dynamic vegetation change. A flexible generalised model "Ecospace" is presented, which was designed to be applicable to all terrestrial vegetation. The model uses a three-dimensional grid of hexagonal tiles to represent space above and below ground. Each individual plant may occupy one or more tiles within the grid. Any number of individuals m
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Schmid, Frank. "Essays on the large dimensional approximate dynamic factor model /." Berlin : dissertation.de, 2009. http://www.ub.unibe.ch/content/bibliotheken_sammlungen/sondersammlungen/dissen_bestellformular/index_ger.html.

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Schmid, Frank. "Essays on the large dimensional approximate dynamic factor model." Berlin dissertation.de, 2008. http://d-nb.info/999361538/04.

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Lindau, Jules Washington. "Multidimensional dynamic compression system modeling." Diss., This resource online, 1995. http://scholar.lib.vt.edu/theses/available/etd-02132009-171914/.

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Eaton, Jeffery P. "Analysis of the effects of dynamic characteristic dimension calculations on FLIR performance prediction models." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1997. http://handle.dtic.mil/100.2/ADA331245.

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Grierson, Yvonne Martha. "A three-dimensional whole body model for dynamic motion analysis." Thesis, Massachusetts Institute of Technology, 1992. http://hdl.handle.net/1721.1/12768.

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Tie, XueXi. "A three-dimensional global dynamical and chemical model of methane." Diss., Georgia Institute of Technology, 1990. http://hdl.handle.net/1853/30885.

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Gurung, Tshering T. "One-Dimensional Dynamic Modeling of the Lower Mississippi River." ScholarWorks@UNO, 2014. http://scholarworks.uno.edu/td/1804.

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The Mississippi River (MR) has been engineered with the development of the levee system, dams for flood control measures, jetties, revetments and dredging of the navigation channel. These alterations have reduced the replenishment of the sediment to the Louisiana Coastal area. To aid in the restoration planning, 1-D numerical models have been calibrated and validated to predict the river response to various changes such as channel modifications, varied flow conditions and hurricane situations. This study utilized the HEC-RAS 4.1 and the CHARIMA (Dr. Forrest Holly, University of Iowa). The mode
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Safari, Katesari Hadi. "BAYESIAN DYNAMIC FACTOR ANALYSIS AND COPULA-BASED MODELS FOR MIXED DATA." OpenSIUC, 2021. https://opensiuc.lib.siu.edu/dissertations/1948.

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Available statistical methodologies focus more on accommodating continuous variables, however recently dealing with count data has received high interest in the statistical literature. In this dissertation, we propose some statistical approaches to investigate linear and nonlinear dependencies between two discrete random variables, or between a discrete and continuous random variables. Copula functions are powerful tools for modeling dependencies between random variables. We derive copula-based population version of Spearman’s rho when at least one of the marginal distribution is discrete. In
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Books on the topic "Model the dynamic dimension"

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Amein, Michael. DYNLET1: Dynamic implicit numerical model of one-dimensional tidal flow through inlets. U.S. Army Engineer Waterways Experiment Station, 1991.

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Amein, Michael. DYNLET1: Dynamic implicit numerical model of one-dimensional tidal flow through inlets. U.S. Army Engineer Waterways Experiment Station, 1991.

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S, Tripp John, Finley Tom D, and Langley Research Center, eds. Effects of yaw and pitch motion on model attitude measurements. National Aeronautics and Space Administration, Langley Research Center, 1995.

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E, Hauser Gary, and Engineering Laboratory (Tennessee Valley Authority), eds. Flow patterns in Big Sandy embayment of Kentucky Reservoir using a one-dimensional dynamic model. Tennessee Valley Authority, Engineering Laboratory, 1990.

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United States. Army. Corps of Engineers., U.S. Army Engineer Waterways Experiment Station., and Environmental Laboratory (U.S. Army Engineer Waterways Experiment Station), eds. CE-QUAL-RIV1: A dynamic, one-dimensional (longitudinal) water quality model for streams : user's manual. U.S. Army Engineer Waterways Experiment Station, 1995.

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Dutta, Somenath. A dynamical model to parameterize rainfall due to meso scale three dimensional orographic barrier. SAARC Meteorological Research Centre, 2007.

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Huyakorn, P. S. VAM2D--variably saturated analysis model in two dimensions: Version 5.0 with hysteresis and chained decay transport : documentation and user's guide. Division of Engineering, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1989.

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Huyakorn, P. S. VAM2D--variably saturated analysis model in two dimensions: Version 5.2 with hysteresis and chained decay transport : documentation and user's guide. Division of Regulatory Applications, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1991.

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Huyakorn, P. S. VAM2D--variably saturated analysis model in two dimensions: Version 5.0 with hysteresis and chained decay transport : documentation and user's guide. Division of Engineering, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1989.

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Huyakorn, P. S. VAM2D--variably saturated analysis model in two dimensions: Version 5.2 with hysteresis and chained decay transport : documentation and user's guide. Division of Regulatory Applications, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1991.

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Book chapters on the topic "Model the dynamic dimension"

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Deuflhard, P., and J. Heroth. "Dynamic Dimension Reduction in ODE Models." In Scientific Computing in Chemical Engineering. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-80149-5_4.

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Iwadate, Y. "Dynamic Three-Dimensional Human Model." In Three-dimensional Imaging, Visualization, and Display. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-79335-1_19.

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Murty, U. Suryanarayana, and Jianhong Wu. "Filaria Monitoring Visualization System: A New Dimension for Integrated Control of Lymphatic Filariasis." In Dynamic Models of Infectious Diseases. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-3961-5_7.

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Righi, Riccardo. "Information Flow Simulations in Multi-dimensional and Dynamic Systems." In Communications in Computer and Information Science. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-23929-8_22.

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AbstractThe relevance of nodes with respect to the position they have in a network is often investigated with centrality measures. In particular, in cases where it is specifically meaningful to consider nodes’ ability to cumulate and convey information, like in economic systems, betweenness centrality is one of the most pertinent options because of its underlying concept. However, this statistic presents two limitations. First, as it relies on the computation of shortest paths, it is grounded on a binary topological evaluation: every time a node is not located in the shortest path between two
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Seynhaeve, Ann L. B., and Timo L. M. ten Hagen. "An In Vivo Model to Study Cell Migration in XYZ-T Dimension Followed by Whole-Mount Re-evaluation." In Cell Migration in Three Dimensions. Springer US, 2023. http://dx.doi.org/10.1007/978-1-0716-2887-4_19.

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AbstractCell migration is a very dynamic process involving several chemical as well as biological interactions with other cells and the environment. Several models exist to study cell migration ranging from simple 2D in vitro cultures to more demanding 3D multicellular assays, to complex evaluation in animals. High-resolution 4D (XYZ, spatial + T, time dimension) intravital imaging using transgenic animals with a fluorescent label in cells of interest is a powerful tool to study cell migration in the correct environment. Here we describe an advanced dorsal skinfold chamber model to study endot
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Ivanov, V. I., and M. Ya. Karpeisky. "Dynamic Three-Dimensional Model for Enzymic Transamination." In Advances in Enzymology - and Related Areas of Molecular Biology. John Wiley & Sons, Inc., 2006. http://dx.doi.org/10.1002/9780470122778.ch2.

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Shangguan, Zixuan, and Cunman Zhang. "Dual-Layer Characteristic Temperature Model for AWES Dynamic Thermal Detection Based on IR." In Proceedings of the 10th Hydrogen Technology Convention, Volume 1. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-8631-6_8.

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AbstractWith the increasing application of the AWES, the dynamic thermal detection of the electrolyzer inspires great interest. The dimension of dynamic thermal detection of the AWES is currently limited to only the inlet and outlet temperatures. This study proposes a dual-layer characteristics temperature model for AWES temperature monitoring. The DLCT model deals with the difficulty of extracting characteristic temperature with its first layer of multi gaussian distribution regression. The second layer model can clarify the disturbing signal using linear regression and provide a quantized te
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Natalini, Roberto, and Shaoqiang Tang. "Discrete BGK Models for Dynamic Phase Transitions in One-Dimension." In Hyperbolic Problems: Theory, Numerics, Applications. Birkhäuser Basel, 2001. http://dx.doi.org/10.1007/978-3-0348-8372-6_29.

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He, Tiancheng, Zhong Xue, Nam Yu, Paige L. Nitsch, Bin S. Teh, and Stephen T. Wong. "Estimating Dynamic Lung Images from High-Dimension Chest Surface Motion Using 4D Statistical Model." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10470-6_18.

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Gudlaugsson, Bjarnhedinn, Huda Dawood, Gobind Pillai, and Michael Short. "First Step Towards a System Dynamic Sustainability Assessment Model for Urban Energy Transition." In Springer Proceedings in Energy. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63916-7_28.

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AbstractThis paper presents a conceptual model that describes the correlation between an urban energy system and sustainability. The model captures the complexity of the urban energy transition, and the task of achieving sustainable development needs to embrace all aspects of sustainability. This paper portrays the aspects of sustainability as four-dimensional—Environment, Economic, Society, and Technology. The relationship between these four dimensions and the urban energy system is presented in a simplified and aggregated-qualitative based causal-loop diagram. The causal-loop diagram illustr
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Conference papers on the topic "Model the dynamic dimension"

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Hasebe, Tatsuki, Kenji Uchiyama, and Kai Masuda. "Dimension of Lift and Numerical Stability in Extended Dynamic Mode Decomposition." In 2025 SICE International Symposium on Control Systems (SICE ISCS). IEEE, 2025. https://doi.org/10.23919/siceiscs65372.2025.10947646.

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Nilifard, Reza, Alex Zanotti, Giuseppe Gibertini, Alberto Guardone, and Giuseppe Quaranta. "Numerical Investigation of Three-Dimensional Effects on Deep Dynamic Stall Experiments." In Vertical Flight Society 71st Annual Forum & Technology Display. The Vertical Flight Society, 2015. http://dx.doi.org/10.4050/f-0071-2015-10098.

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Computational Fluid Dynamics simulations were carried out in two and three spatial dimensions to assess the suitability of numerical models for the simulation of deep dynamic stall experiments. The numerical results were compared to pressure measurements and Particle Image Velocimetry flow surveys carried out on a pitching NACA 23012 airfoil. The pitching cycles considered as test cases reproduce the deep dynamic stall condition for a helicopter rotor retreating blade section. The comparison of the airloads curves and of the pressure distribution over the airfoil surface shows that a three-dim
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Dong, Mingjie, Yinbo Chen, Chengyin Wang, et al. "Dynamic Three-Dimensional Spinal Model Based on Biological Anatomy Mechanisms." In 2024 17th International Convention on Rehabilitation Engineering and Assistive Technology (i-CREATe). IEEE, 2024. https://doi.org/10.1109/i-create62067.2024.10776316.

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Gerrer, Claire-Eleuthèriane, and Sylvain Girard. "Non Linear Dimension Reduction of Dynamic Model Output." In The 13th International Modelica Conference, Regensburg, Germany, March 4–6, 2019. Linköing University Electronic Press, 2019. http://dx.doi.org/10.3384/ecp19157189.

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Guo, Manyi, Shaoping Wang, Xingjian Wang, Di Wu, and Mileta M. Tomovic. "Two-dimension dynamic thermal circuit network model of cylinder." In 2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA). IEEE, 2016. http://dx.doi.org/10.1109/iciea.2016.7603693.

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Ma, Shunan, and Jingsha He. "A Multi-Dimension Dynamic Trust Evaluation Model Based on GA." In 2010 2nd International Workshop on Intelligent Systems and Applications (ISA). IEEE, 2010. http://dx.doi.org/10.1109/iwisa.2010.5473581.

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Konstantopoulos, Nikolaos, Damianos P. Sakas, Yiannis Triantafyllopoulos, Theodore E. Simos, and George Maroulis. "The Dimension of Communication in the Merger: Simulation with Dynamic Model." In COMPUTATIONAL METHODS IN SCIENCE AND ENGINEERING: Theory and Computation: Old Problems and New Challenges. Lectures Presented at the International Conference on Computational Methods in Science and Engineering 2007 (ICCMSE 2007): VOLUME 1. AIP, 2007. http://dx.doi.org/10.1063/1.2835924.

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Hu, Qiong, Yannis Stylianou, Korin Richmond, Ranniery Maia, Junichi Yamagishi, and Javier Latorre. "A fixed dimension and perceptually based dynamic sinusoidal model of speech." In ICASSP 2014 - 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2014. http://dx.doi.org/10.1109/icassp.2014.6854810.

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Zhu, Chunxi, Yingjiang Zhou, Runxian Cai, and Can Wang. "Dynamic obstacle avoidance scheme based on model building and dimension reduction." In 2022 China Automation Congress (CAC). IEEE, 2022. http://dx.doi.org/10.1109/cac57257.2022.10055516.

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Yang, Zhongming, Xiaohui LU, Lilong Huang, Jun Yu, and Jianhui Yang. "Minimization of Dynamic Programming Algorithm by Three-dimension Model Collison Test Fitting." In DSIT 2021: 2021 4th International Conference on Data Science and Information Technology. ACM, 2021. http://dx.doi.org/10.1145/3478905.3478993.

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Reports on the topic "Model the dynamic dimension"

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O’Keeffe, Hannah, and Katerina Petrova. Component-Based Dynamic Factor Nowcast Model. Federal Reserve Bank of New York, 2025. https://doi.org/10.59576/sr.1152.

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In this paper, we propose a component-based dynamic factor model for nowcasting GDP growth. We combine ideas from “bottom-up” approaches, which utilize the national income accounting identity through modelling and predicting sub-components of GDP, with a dynamic factor (DF) model, which is suitable for dimension reduction as well as parsimonious real-time monitoring of the economy. The advantages of the new model are twofold: (i) in contrast to existing dynamic factor models, it respects the GDP accounting identity; (ii) in contrast to existing “bottom-up” approaches, it models all GDP compone
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Aviles, B. N. Dynamic Three-Dimensional Process Water Density Model for Ultrasim. Office of Scientific and Technical Information (OSTI), 2001. http://dx.doi.org/10.2172/781034.

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Abdolmaleki, Kourosh. PR-453-205101-R02 On-Bottom Dynamic Simulation. Pipeline Research Council International, Inc. (PRCI), 2023. http://dx.doi.org/10.55274/r0012257.

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This report presents a number of newly added features to the OBS software relevant to the dynamic simulation of pipelines. The additions include a function to extract on-bottom wave induced velocities and hydrodynamic forces on a given length of pipeline with arbitrary distribution of the nodes; a new dynamic simulation module to perform dynamic simulations for a single pipe node; two new soil models including the Verley and Sotberg for sand as well as a custom soil model as per the approach recommended in DNV-RP-F114. The added soil models are implemented in the dynamic solver, which provide
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Abdolmaleki, Kourosh. PR453-225100-Z01 OBS APIs Documentation and Examples. Pipeline Research Council International, Inc. (PRCI), 2025. https://doi.org/10.55274/r0000131.

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This zipped package includes a number of newly added features to the OBS software relevant to the dynamic simulation of pipelines. The additions include a function to extract on-bottom wave induced velocities hydrodynamic forces on a given length of pipeline with arbitrary distribution of the nodes; a new dynamic simulation module to perform dynamic simulations for a single pipe element; two new soil models including the Verley and Sotberg for sand as well as a custom soil model as per the approach recommended in DNVRP- F114. The added soil models are implemented in the dynamic solver, which p
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Hong, D. K. Discrete anomaly and dynamical mass in 2+1 dimension U(1){sub v} {times} U(1){sub A} model. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/179290.

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Pasupuleti, Murali Krishna. Phase Transitions in High-Dimensional Learning: Understanding the Scaling Limits of Efficient Algorithms. National Education Services, 2025. https://doi.org/10.62311/nesx/rr1125.

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Abstract: High-dimensional learning models exhibit phase transitions, where small changes in model complexity, data size, or optimization dynamics lead to abrupt shifts in generalization, efficiency, and computational feasibility. Understanding these transitions is crucial for scaling modern machine learning algorithms and identifying critical thresholds in optimization and generalization performance. This research explores the role of high-dimensional probability, random matrix theory, and statistical physics in analyzing phase transitions in neural networks, kernel methods, and convex vs. no
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Albis, Manuel Leonard, Mara Claire Tayag, and Jong Woo Kang. Estimating Regional Integration Using the Bayesian State-Space Approach. Asian Development Bank, 2024. http://dx.doi.org/10.22617/wps230622-2.

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Estimating regional integration faces challenges due to incomplete data. This paper addresses this through the dynamic factor model estimated using the Bayesian state-space approach. Bilateral economic integration (BEI) indexes are estimated across four dimensions: trade, foreign direct investments, finance, and migration. The regional integration index (RII) of Asia and the Pacific is calculated by applying network density to the BEI estimates. The RII declined slightly in recent years, with the network centering more around the People’s Republic of China.
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Fassnacht, Steven, Kazuyoshi Suzuki, Jessica Sanow, et al. Snow surface roughness across spatio-temporal scales. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49199.

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The snow surface is at the interface between the atmosphere and Earth. The surface of the snowpack changes due to its interaction with precipitation, wind, humidity, short- and long-wave radiation, underlying terrain characteristics, and land cover. These connections create a dynamic snow surface that impacts the energy and mass balance of the snowpack, blowing snow potential, and other snowpack processes. Despite this, the snow surface is generally considered a constant parameter in many Earth system models. Data from the National Aeronautics and Space Administration (NASA) Cold Land Processe
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Mojidra, Rushil, and Keri Ryan. Influence of Vertical Ground Motion on Bridges Isolated with Spherical Sliding Bearings. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, 2019. http://dx.doi.org/10.55461/rynq3624.

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The motivation for this project developed from testing of a full scale building isolated with triple friction pendulum bearings on the E-defense shake table in Japan. The test demonstrated experimentally that the vertical component of ground motion can amplify both the base shear and the story acceleration in the isolated building. Vertical shaking introduced high-frequency variation in the axial force of the bearings, and, consequently, a high-frequency component in the bearing lateral force, which excited higher structural modes in the building. Since vertical bridges are flexible in the ver
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Chepeliev, Maksym, Israel Osorio Rodarte, and Dominique van der Mensbrugghe. Distributional Impacts of Carbon Pricing Policies under Paris Agreement: Inter and Intra-Regional Perspectives. GTAP Working Paper, 2021. http://dx.doi.org/10.21642/gtap.wp88.

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While bringing multiple benefits for the environment, achievement of the stringent global greenhouse gas emissions reduction target, like the one outlined in the Paris Climate Agreement, is associated with significant implementation costs and could impact different dimensions of human well-being, including welfare, poverty and distributional aspects. In this paper, we analyze the poverty and distributional impacts of different carbon pricing mechanisms consistent with reaching the Paris Agreement targets. We link a global recursive dynamic computable general equilibrium model ENVISAGE with the
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