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Journal articles on the topic 'Tabulated Models of Transition state'

Author: Grafiati

Published: 17 May 2025

Last updated: 19 July 2025

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1

Gulay, A. V., and V. M. Zaitsev. "Intelligent Mechatronic System as an Adaptive Model Having "Controlled Construction"." Mekhatronika, Avtomatizatsiya, Upravlenie 20, no. 10 (2019): 600–608. http://dx.doi.org/10.17587/mau.20.600-608.

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The authors develop an adaptive approach to synthesis of intelligent digital models, which have acquitted particular significance during the research of controlled mechanical constructions. Capacity for generation of active reactions to external functional and energy impacts is a distinctive feature, when the object automatically finds rational or optimal states by means of respective adaptation to the aforesaid impacts. The paper presents principles of intelligent model construction, which simulates the processes of controlled transitions between various states of "the controlled construction

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2

Weihing, Pascal, Marion Cormier, Thorsten Lutz, and Ewald Krämer. "The near-wake development of a wind turbine operating in stalled conditions – Part 1: Assessment of numerical models." Wind Energy Science 9, no. 4 (2024): 933–62. http://dx.doi.org/10.5194/wes-9-933-2024.

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Abstract. This study comprehensively investigates the near-wake development of a model wind turbine operating at a low tip-speed ratio in stalled conditions. In the present paper, part 1, different ways of representing the turbine, which include a full geometrical representation and modeling by means of the actuator line method, and different approaches for the modeling of turbulence are assessed. The simulation results are compared with particle image velocimetry (PIV) measurements from the MEXICO and New MEXICO experiments. A highly resolved numerical setup was created and a higher-order num

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3

Molokov, K. А., V. V. Novikov, and M. Dabalez. "Evaluation of the Occurrence of Initial Failures from Stress Concentrators in Welded Joints and Structural Elements." Advanced Engineering Research 23, no. 1 (2023): 41–54. http://dx.doi.org/10.23947/2687-1653-2023-23-1-41-54.

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Introduction. Data on the occurrence of initial failures obtained through testing on standard samples cannot always be extrapolated to real welded joints and structures. This is due to the difference between the concentrators in the joints, because after welding there is a significant structural and mechanical heterogeneity of the heat-affected and stress concentrator zone. Extended, deep concentrators are considered as crack-like defects, at whose vertices a volumetric, multiaxial stress state is formed. The paper addresses the issue of constructing critical diagrams of the onset of the limit

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4

Sherrod, Michael J. "Empirically optimized “transition state models”." Tetrahedron Letters 31, no. 35 (1990): 5085–88. http://dx.doi.org/10.1016/s0040-4039(00)97812-2.

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5

Jong, Piet. "STATE TRANSITION SPECIFICATION IN STATE-SPACE MODELS." Journal of Time Series Analysis 7, no. 3 (1986): 213–16. http://dx.doi.org/10.1111/j.1467-9892.1986.tb00504.x.

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6

Bascal, H. A., K. J. Jordan, and R. H. Lipson. "Ion-pair state spectroscopy of HgCl." Canadian Journal of Chemistry 71, no. 10 (1993): 1615–21. http://dx.doi.org/10.1139/v93-201.

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Fluorescence excitation spectra of HgCl produced and cooled in a corona-excited supersonic jet discharge are presented. The dominant feature between ≈ 368 and 267 nm is an extensive vibrationally and isotopically resolved band system which is assigned to the B2Σ+(ν′) ← X2Σ+(ν″ = 0, 1, and 2) valence-to-ion-pair state transition of the radical. Transition wavenumbers for vibrational bands with 75 ≥ ν′ ≥ 21 and 2 ≥ ν″ ≥ 0 were measured, and B-state Dunham parameters were derived which are valid between 75 ≥ ν′ ≥ 0. The equilibrium bondlength for the B-state was determined to be 2.960(2) Å by Fra

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7

Campbell, JD, DK Blough, and SD Sullivan. "PAA22 STATE TRANSITION MODELS FOR ESTIMATING TRANSITION PROBABILITIES IN MARKOV MODELS." Value in Health 10, no. 6 (2007): A404. http://dx.doi.org/10.1016/s1098-3015(10)65414-9.

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8

Iosif, Panagiotis, and Nikolaos Stergioulas. "Models of binary neutron star remnants with tabulated equations of state." Monthly Notices of the Royal Astronomical Society 510, no. 2 (2021): 2948–67. http://dx.doi.org/10.1093/mnras/stab3565.

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ABSTRACT The emergence of novel differential rotation laws that can reproduce the rotational profile of binary neutron star merger remnants has opened the way for the construction of equilibrium models with properties that resemble those of remnants in numerical simulations. We construct models of merger remnants, using a recently introduced 4-parameter differential rotation law and three tabulated, zero-temperature equations of state. The models have angular momenta that are determined by empirical relations, constructed through numerical simulations. After a systematic exploration of the par

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9

Phillips, Jonathan D., and Chris Van Dyke. "State-and-transition models in geomorphology." CATENA 153 (June 2017): 168–81. http://dx.doi.org/10.1016/j.catena.2017.02.009.

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10

Dueker, Michael J., Zacharias Psaradakis, Martin Sola, and Fabio Spagnolo. "State-Dependent Threshold Smooth Transition Autoregressive Models*." Oxford Bulletin of Economics and Statistics 75, no. 6 (2012): 835–54. http://dx.doi.org/10.1111/j.1468-0084.2012.00719.x.

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11

Chhatwal, Jagpreet, Suren Jayasuriya, and Elamin H. Elbasha. "Changing Cycle Lengths in State-Transition Models." Medical Decision Making 36, no. 8 (2016): 952–64. http://dx.doi.org/10.1177/0272989x16656165.

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12

Ćwiklak, Janusz. "Numerical Simulations of Bird Strikes with the Use of Various Equations of State." Journal of KONBiN 50, no. 3 (2020): 333–57. http://dx.doi.org/10.2478/jok-2020-0065.

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AbstractThe paper presents results of numerical analyses of the collision of various bird models (dummies) with a helicopter windshield. Three different numerical bird models were elaborated. According to the subject literature, applying an appropriate equation of state has an influence on impact parameters. The author used the LS_DYNA software package. This is a computational code designed to analyse fast-changing phenomena by means of the finite-element method. SPH method has been used for bird strike simulations. In the research, three different equations of state have been used: Grüneisen'

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13

Bestelmeyer, Brandon T., Kendra Moseley, Pat L. Shaver, Homer Sanchez, David D. Briske, and Maria E. Fernandez-Gimenez. "Practical Guidance for Developing State-and-Transition Models." Rangelands 32, no. 6 (2010): 23–30. http://dx.doi.org/10.2111/rangelands-d-10-00077.1.

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14

Steele, Caitriana M., Brandon T. Bestelmeyer, Laura M. Burkett, Philip L. Smith, and Steven Yanoff. "Spatially Explicit Representation of State-and-Transition Models." Rangeland Ecology & Management 65, no. 3 (2012): 213–22. http://dx.doi.org/10.2111/rem-d-11-00047.1.

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15

Akama, Kiyoshi, and Ekawit Nantajeewarawat. "State-Transition Computation Models and Program Correctness Thereon." Journal of Advanced Computational Intelligence and Intelligent Informatics 11, no. 10 (2007): 1250–61. http://dx.doi.org/10.20965/jaciii.2007.p1250.

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The common framework for formalizing state-transition computation models we present is based on a general theory for studying the interrelationship of specifications, programs, computation, and program correctness. We establish a necessary and sufficient condition for program correctness for this class of computation models and demonstrate framework application by formalizing, as its instances, two concrete examples of state-transition computation models – NAT and D-rule. We compare their correct-program spaces by introducing the embedding mapping concept.

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16

Eurenius, Kirsten P., and K. N. Houk. "Rational vs Random Parameters in Transition State Modeling: MM2 Transition State Models for Intramolecular Hydride Transfers." Journal of the American Chemical Society 116, no. 22 (1994): 9943–46. http://dx.doi.org/10.1021/ja00101a016.

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17

HELLUY, P., and H. MATHIS. "PRESSURE LAWS AND FAST LEGENDRE TRANSFORM." Mathematical Models and Methods in Applied Sciences 21, no. 04 (2011): 745–75. http://dx.doi.org/10.1142/s0218202511005209.

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In this paper we investigate algorithms based on the Fast Legendre Transform (FLT) in order to compute tabulated Equation Of State (EOS) for fluids with phase transition. The equation of state of a binary mixture is given by an energy minimization principle. According to the miscible or immiscible nature of the mixture, the energy of the system is either a convex envelope or an inf-convolution of the energies of the two phases. Because these operations are closely linked to Legendre transform, it is possible to construct fast algorithms that compute efficiently these operations. In addition, i

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18

Thomas, Colin, Maximilien Cosme, Cédric Gaucherel, and Franck Pommereau. "Model-checking ecological state-transition graphs." PLOS Computational Biology 18, no. 6 (2022): e1009657. http://dx.doi.org/10.1371/journal.pcbi.1009657.

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Model-checking is a methodology developed in computer science to automatically assess the dynamics of discrete systems, by checking if a system modelled as a state-transition graph satisfies a dynamical property written as a temporal logic formula. The dynamics of ecosystems have been drawn as state-transition graphs for more than a century, ranging from state-and-transition models to assembly graphs. Model-checking can provide insights into both empirical data and theoretical models, as long as they sum up into state-transition graphs. While model-checking proved to be a valuable tool in syst

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19

Titman, Andrew C. "Transition probability estimates for non-Markov multi-state models." Biometrics 71, no. 4 (2015): 1034–41. http://dx.doi.org/10.1111/biom.12349.

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20

Iskandar, R. "PNS46 POISSON REPRESENTATION OF MARKOV COHORT STATE-TRANSITION MODELS." Value in Health 22 (November 2019): S770. http://dx.doi.org/10.1016/j.jval.2019.09.1948.

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21

Nord, R. S., and J. W. Evans. "Inequivalent models of irreversible dimer filling: ‘‘Transition state’’ dependence." Journal of Chemical Physics 93, no. 11 (1990): 8397–98. http://dx.doi.org/10.1063/1.459273.

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22

Nicholson, Ann E., and M. Julia Flores. "Combining state and transition models with dynamic Bayesian networks." Ecological Modelling 222, no. 3 (2011): 555–66. http://dx.doi.org/10.1016/j.ecolmodel.2010.10.010.

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23

Vaseghi, S. V. "Hidden Markov models with duration-dependent state transition probabilities." Electronics Letters 27, no. 8 (1991): 625. http://dx.doi.org/10.1049/el:19910392.

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24

Lee, Soo-Y., W. Thomas Pollard, and Richard A. Mathies. "Quasi-classical models of transition state absorption or emission." Chemical Physics Letters 163, no. 1 (1989): 11–18. http://dx.doi.org/10.1016/0009-2614(89)80003-x.

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25

Ozkan, S. Banu, Ken A. Dill, and Ivet Bahar. "Computing the transition state populations in simple protein models." Biopolymers 68, no. 1 (2002): 35–46. http://dx.doi.org/10.1002/bip.10280.

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26

Spitoni, Cristian, Violette Lammens, and Hein Putter. "Prediction errors for state occupation and transition probabilities in multi-state models." Biometrical Journal 60, no. 1 (2017): 34–48. http://dx.doi.org/10.1002/bimj.201600191.

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27

Srivastava, Tushar, Nicholas R. Latimer, and Paul Tappenden. "Estimation of Transition Probabilities for State-Transition Models: A Review of NICE Appraisals." PharmacoEconomics 39, no. 8 (2021): 869–78. http://dx.doi.org/10.1007/s40273-021-01034-5.

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28

Srivastava, T. "HTA71 Transition Probabilities in State-Transition Models: A Synopsis of HTA Guidelines Worldwide." Value in Health 26, no. 6 (2023): S272. http://dx.doi.org/10.1016/j.jval.2023.03.1500.

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29

Федасюк, Д. В., та С. Б. Волочій. "СТРУКТУРНО-АВТОМАТНА МОДЕЛЬ ВІДМОВОСТІЙКИХ СИСТЕМ ДЛЯ АВТОМАТИЗАЦІЇ ВИКОРИСТАННЯ МЕТОДУ ФАЗ ЕРЛАНГА". Radioelectronic and Computer Systems, № 3 (13 вересня 2019): 78–92. http://dx.doi.org/10.32620/reks.2016.3.10.

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There is a known approach of developing models of reliability of fault-tolerant radioelectronic systems as dyscrete-continuous stochastic markov systems. For that approach, there is an important problem of improving models by considering realistic distribution of durations of procedures and time intervals between events in the process. For developing state-transition models with hundreds or thousands of states, this problem becomes significant. Moreover, this problem becomes critical for reliability synthesis when it’s necessary to develop tens of state-transition models. This problem can be s

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30

Srivastava, T., N. R. Latimer, and P. Tappenden. "PMU78 Estimation of Transition Probabilities for State-Transition Models: A Review of NICE Appraisals." Value in Health 23 (December 2020): S615—S616. http://dx.doi.org/10.1016/j.jval.2020.08.1290.

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31

Zweig, C. L., and W. M. Kitchens. "Multi-state succession in wetlands: a novel use of state and transition models." Ecology 90, no. 7 (2009): 1900–1909. http://dx.doi.org/10.1890/08-1392.1.

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32

Kabudian, Jahanshah, Mohammad Mehdi Homayounpour, and Seyed Mohammad Ahadi. "Bernoulli versus Markov: Investigation of state transition regime in switching-state acoustic models." Signal Processing 89, no. 4 (2009): 662–68. http://dx.doi.org/10.1016/j.sigpro.2008.09.004.

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33

Holmes, Aaron L., and Richard F. Miller. "State-and-Transition Models for Assessing Grasshopper Sparrow Habitat Use." Journal of Wildlife Management 74, no. 8 (2010): 1834–40. http://dx.doi.org/10.2193/2009-417.

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34

Allen-Diaz, Barbara, and James W. Bartolome. "SAGEBRUSH–GRASS VEGETATION DYNAMICS: COMPARING CLASSICAL AND STATE-TRANSITION MODELS." Ecological Applications 8, no. 3 (1998): 795–804. http://dx.doi.org/10.1890/1051-0761(1998)008[0795:sgvdcc]2.0.co;2.

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35

Allen-Diaz, Barbara, and James W. Bartolome. "Sagebrush-Grass Vegetation Dynamics: Comparing Classical and State-Transition Models." Ecological Applications 8, no. 3 (1998): 795. http://dx.doi.org/10.2307/2641267.

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36

Bestelmeyer, Brandon T., Joel R. Brown, Kris M. Havstad, Robert Alexander, George Chavez, and Jeffrey E. Herrick. "Development and Use of State-and-Transition Models for Rangelands." Journal of Range Management 56, no. 2 (2003): 114. http://dx.doi.org/10.2307/4003894.

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37

Kozierski, Piotr, Marcin Lis, and Dariusz Horla. "Wrong transition and measurement models in power system state estimation." Archives of Electrical Engineering 65, no. 3 (2016): 559–74. http://dx.doi.org/10.1515/aee-2016-0040.

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Abstract The influence of wrong information about transition and measurement models on estimation quality has been presented in the paper. Two methods of a particle filter, with and without the Population Monte Carlo modification, and also the extended and unscented Kalman filters methods have been compared. A small 5-bus power system has been used in simulations, which have been performed based on one data set, and this data set has been chosen from among 100 different - to draw the most general conclusions. Based on the obtained results it has been found that for the particle filter methods

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38

Romero-Ugalde, Hector M., Virginie Le Rolle, Jean-Luc Bonnet, et al. "Closed-Loop Vagus Nerve Stimulation Based on State Transition Models." IEEE Transactions on Biomedical Engineering 65, no. 7 (2018): 1630–38. http://dx.doi.org/10.1109/tbme.2017.2759667.

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39

Briske, D. D., B. T. Bestelmeyer, T. K. Stringham, and P. L. Shaver. "Recommendations for Development of Resilience-Based State-and-Transition Models." Rangeland Ecology & Management 61, no. 4 (2008): 359–67. http://dx.doi.org/10.2111/07-051.1.

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40

Knapp, Corrine Noel, and Maria E. Fernandez-Gimenez. "Understanding Change: Integrating Rancher Knowledge Into State-and-Transition Models." Rangeland Ecology & Management 62, no. 6 (2009): 510–21. http://dx.doi.org/10.2111/08-176.1.

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41

Phillips, Jonathan D. "Predicting modes of spatial change from state-and-transition models." Ecological Modelling 222, no. 3 (2011): 475–84. http://dx.doi.org/10.1016/j.ecolmodel.2010.11.018.

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42

Bond, Nick R., Nicola Grigg, Jane Roberts, et al. "Assessment of environmental flow scenarios using state-and-transition models." Freshwater Biology 63, no. 8 (2018): 804–16. http://dx.doi.org/10.1111/fwb.13060.

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43

Krahn, Murray D., Karen E. Bremner, Brandon Zagorski, et al. "Health Care Costs for State Transition Models in Prostate Cancer." Medical Decision Making 34, no. 3 (2013): 366–78. http://dx.doi.org/10.1177/0272989x13493970.

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44

Lennartson, Bengt, Francesco Basile, Sajed Miremadi, et al. "Supervisory Control for State-Vector Transition Models—A Unified Approach." IEEE Transactions on Automation Science and Engineering 11, no. 1 (2014): 33–47. http://dx.doi.org/10.1109/tase.2013.2291115.

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45

Gorun, S. M. "Transition state models for native and metal substituted zinc enzymes." Journal of Inorganic Biochemistry 36, no. 3-4 (1989): 305. http://dx.doi.org/10.1016/0162-0134(89)84463-0.

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46

Spalburg, M. R., J. Los, and A. Z. Devdariani. "On the validity of simple two-state electronic transition models." Chemical Physics 103, no. 2-3 (1986): 253–63. http://dx.doi.org/10.1016/0301-0104(86)80025-8.

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47

Wang, Shao-Hua, Chao Zhang, and Yangming Wang. "microRNA regulation of pluripotent state transition." Essays in Biochemistry 64, no. 6 (2020): 947–54. http://dx.doi.org/10.1042/ebc20200028.

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Abstract microRNAs (miRNAs) play essential roles in mouse embryonic stem cells (ESCs) and early embryo development. The exact mechanism by which miRNAs regulate cell fate transition during embryo development is still not clear. Recent studies have identified and captured various pluripotent stem cells (PSCs) that share similar characteristics with cells from different stages of pre- and post-implantation embryos. These PSCs provide valuable models to understand miRNA functions in early mammalian development. In this short review, we will summarize recent work towards understanding the function

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48

Ostojic, Sinisa. "Models of restructuring banking systems in economies in transition." Privredna izgradnja 45, no. 3-4 (2002): 201–24. http://dx.doi.org/10.2298/priz0203201o.

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In view of the still underdeveloped capital market in Central and Eastern Europe, modernizing enterprises particularly depends on a functioning banking sector. Due to the interdependence enterprises and banks the insolvency of individual enterprises set off chain reactions which resulted in the collapse of banks and shook the banking systems in some countries. Commercial banks were particularly susceptible to these developments since the ratio between their own fluids and enough experience in reorganizing enterprises nor business perspectives for the enterprises depending on them. In the past

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49

Nilar, Shahul H., Ajit J. Thakkar, Anne E. Kondo, and William J. Meath. "Electronic energies, dipole moment matrix elements, and static polarizabilities and hyperpolarizabilities for some diphenyl molecules." Canadian Journal of Chemistry 71, no. 10 (1993): 1663–71. http://dx.doi.org/10.1139/v93-207.

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The "giant dipole" molecules, NR1R2—C6H4—(C≡C)n—C6H4—NO2n = 0, 1, 2, are studied theoretically for three sets of substituents: R1 = R2 = H, R1 = H, R2 = CH3, and R1 = R2 = CH3. For each of these nine molecules, the energies, and permanent and transition dipole moments for the 20 lowest electronic states are calculated using the intermediate neglect of differential overlap (INDO) approximation at the configuration interaction with single excitations (CIS) level. Static polarizabilities and hyperpolarizabilities for the ground states are reported for these "push–pull" molecules. The changes in t

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50

Neoh, Beng Eik, Kai An Sim, Lay Guat Chan, and Chee Kit Ho. "Transition Intensities for Critical Illness: A Study on Canadian Health Data." Malaysian Journal of Fundamental and Applied Sciences 19, no. 2 (2023): 236–62. http://dx.doi.org/10.11113/mjfas.v19n2.2848.

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Multiple state model is a mathematical model which is characterised by two important elements, transition intensity and transition probability. Critical illness has increased rapidly which is alarmed by the healthcare experts, and becoming an important concern in society. In this paper, by using the Canadian health data, we provide an estimation of transition intensities from the healthy state to the critical illness state with the application of prevalence rate. We provide a discrete calculation of transition intensities with some mathematical formula discussed by some previous studies. Next,

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