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1

Kim, A., V. Kormyshev, H. Kwon, M. Safronov, and A. Tarasyev. "HIV-infection model stabilization." IFAC-PapersOnLine 48, no. 25 (2015): 214–17. http://dx.doi.org/10.1016/j.ifacol.2015.11.088.

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2

Madhavrao Deshmukh, Shailesh, and Ravi Prakash Mahobia. "A Fuzzy Inference Model for Efficient Power Stabilization Model in PV Systems." E3S Web of Conferences 540 (2024): 04004. http://dx.doi.org/10.1051/e3sconf/202454004004.

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The power stabilization in photovoltaic systems is well studied. There exist number of approaches in stabilizing the output power of PV systems. The most approaches concern about the input power and residual energy of capacitors. Still they suffer to achieve higher performance in power stabilization. To handle this issue, an efficient Fuzzy inference based Power stabilization model (FIPSM) is presented in this paper. The model is focused on utilizing residual energy on different circuits and avoiding higher drain of energy on any of the circuit. The model fabricated with MOFSET device in each circuit which monitors the input and output voltage of any circuit. As the model has number of circuits framed in serial connection, the method generates fuzzy rules based on the conditions of different circuits for different input voltage with output voltage required. At each duty cycle, the method reads the input voltage and identifies set of circuits were in sleep or charging mode. With the list of circuits, the method computes the Fuzzy Inference Voltage Stabilization Support (FIVSS) for various circuits. Based on the value of FIVSS, the method identifies a unique or a subset of circuits to support stabilization. The proposed model improves the performance of power stabilization in photovoltaic systems.
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3

Preul, H. C., and R. A. Wagner. "Waste Stabilization Pond Prediction Model." Water Science and Technology 19, no. 12 (1987): 205–11. http://dx.doi.org/10.2166/wst.1987.0147.

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This paper presents a prediction model for calculating the expected effluent performance of a facultative waste stabilization pond. The model is intended to improve on current design approaches through more appropriate recognition of physical and climatic factors which affect the prediction of pond performance. The importance of hydraulic routing throuah a pond is stressed along with wind mixing, thermal stratification, pond geometry, and other basic design parameters. The final form of the model is a working equation based on analyses of the various pond processes; because of the complexity of the final analytical model, it must be applied using computerized methods.
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4

Mikaelian, Karnig O. "Simple model for ablative stabilization." Physical Review A 46, no. 10 (1992): 6621–27. http://dx.doi.org/10.1103/physreva.46.6621.

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5

Saluyk, Olexander. "Mathematical Description of Systems for Space Stabilization of Equipment Assigned for Operation on Moving Vehicles." Electronics and Control Systems 3, no. 77 (2023): 53–59. http://dx.doi.org/10.18372/1990-5548.77.18004.

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The article deals with the development of mathematical description of systems for stabilization of measurement and observation equipment assigned for operation at moving vehicles of the wide class such as land, marine, and air moving vehicles. Mathematical descriptions of one-axis, two-axis, and three-axis stabilization systems are represented including kinematical relations and dynamics models. The general mathematical descriptions and the appropriate models in the space of states are given. The basic approaches to linearization of the generalized models are represented. The sets of turns in the inertial space for two-axial and three-axial stabilizations systems are represented. The obtained mathematical model for one-axis stabilization system has been used for the robust structural synthesis of the system assigned for stabilization of the observation equipment mounted at the land moving vehicles. The obtained results can be spread on moving vehicles of the different type.
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6

Lyulyov, Oleksii, and Hanna Shvindina. "Stabilization Pentagon Model: application in the management at macro- and micro-levels." Problems and Perspectives in Management 15, no. 3 (2017): 42–52. http://dx.doi.org/10.21511/ppm.15(3).2017.04.

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The problem of instability of industries, clusters and states influences the countries’ economies. Unavoidable changes became an attribute of the strategic planning at every level. As a result, an effective tool is needed to evaluate stability at different levels in such a way that will make it possible to manage the changes. In this paper the concept of Macroeconomic Stabilization Pentagon (MSP) was analyzed for its applicability for the EU countries of low-an-middle-income economies including Ukraine. The data analysis brought new understanding of the assessment of the public policies’ effectiveness. The model has proven its efficiency not just in the sphere of public administration, but also for the micro level management. The authors proposed the Microeconomic Stabilization Pentagon to be implemented in the research at the level of enterprises
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7

Qin, Shiqiang, Juntao Kang, and Qiuping Wang. "Operational Modal Analysis Based on Subspace Algorithm with an Improved Stabilization Diagram Method." Shock and Vibration 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/7598965.

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Subspace-based algorithms for operational modal analysis have been extensively studied in the past decades. In the postprocessing of subspace-based algorithms, the stabilization diagram is often used to determine modal parameters. In this paper, an improved stabilization diagram is proposed for stochastic subspace identification. Specifically, first, a model order selection method based on singular entropy theory is proposed. The singular entropy increment is calculated from nonzero singular values of the output covariance matrix. The corresponding model order can be selected when the variation of singular entropy increment approaches to zero. Then, the stabilization diagram with confidence intervals which is established using the uncertainty of modal parameter is presented. Finally, a simulation example of a four-story structure and a full-scale cable-stayed footbridge application is employed to illustrate the improved stabilization diagram method. The study demonstrates that the model order can be reasonably determined by the proposed method. The stabilization diagram with confidence intervals can effectively remove the spurious modes.
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8

Colomer, F. LLavador, and D. Prats Rico. "Mechanistic model for facultative stabilization ponds." Water Environment Research 65, no. 5 (1993): 679–85. http://dx.doi.org/10.2175/wer.65.5.11.

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9

Slavyanov, Andrey Stanislavovich. "BALANCE MODEL OF INNOVATION PROCESS STABILIZATION." SOFT MEASUREMENTS AND COMPUTING 1, no. 3 (2021): 40–45. http://dx.doi.org/10.36871/2618-9976.2021.03.005.

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The paper shows that due to the emerging investment imbalance between scientific and industrial organizations, the innovation process becomes unstable, the results of research and development cannot be integrated into the production cycle in a timely manner, which leads to their moral aging. On the basis of the input – output model, a balance sheet model of the innovation process is proposed, which allows supporting management decisions to eliminate emerging investment imbalances.
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10

Kiniwa, Jun, Kensaku Kikuta, and Hiroaki Sandoh. "A PRICE STABILIZATION MODEL IN NETWORKS." Journal of the Operations Research Society of Japan 60, no. 4 (2017): 479–95. http://dx.doi.org/10.15807/jorsj.60.479.

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11

Pustovitov, V. D. "Rotational stabilization in the Boozer model." Physics of Plasmas 14, no. 2 (2007): 022501. http://dx.doi.org/10.1063/1.2435320.

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12

Akin, J. E., T. Tezduyar, M. Ungor, and S. Mittal. "Stabilization Parameters and Smagorinsky Turbulence Model." Journal of Applied Mechanics 70, no. 1 (2003): 2–9. http://dx.doi.org/10.1115/1.1526569.

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For the streamline-upwind/Petrov-Galerkin and pressure-stabilizing/Petrov-Galerkin formulations for flow problems, we present in this paper a comparative study of the stabilization parameters defined in different ways. The stabilization parameters are closely related to the local length scales (“element length”), and our comparisons include parameters defined based on the element-level matrices and vectors, some earlier definitions of element lengths, and extensions of these to higher-order elements. We also compare the numerical viscosities generated by these stabilized formulations with the eddy viscosity associated with a Smagorinsky turbulence model that is based on element length scales.
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13

Friedler, Eran, Marcelo Juanico, and Gedalia Shelef. "Simulation model of wastewater stabilization reservoirs." Ecological Engineering 20, no. 2 (2003): 121–45. http://dx.doi.org/10.1016/s0925-8574(03)00009-0.

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14

Wood, Keith. "An Inpatient Skills Training Stabilization Model." Brief Treatment and Crisis Intervention 2, no. 4 (2002): 315–24. http://dx.doi.org/10.1093/brief-treatment/2.4.315.

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15

Nicaise, Serge. "Stabilization of a Drude/Vacuum Model." Zeitschrift für Analysis und ihre Anwendungen 37, no. 3 (2018): 349–75. http://dx.doi.org/10.4171/zaa/1618.

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16

Polprasert, Chongrak, and Kiran K. Bhattarai. "Dispersion Model for Waste Stabilization Ponds." Journal of Environmental Engineering 111, no. 1 (1985): 45–59. http://dx.doi.org/10.1061/(asce)0733-9372(1985)111:1(45).

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17

Chai, Shu Gen. "Boundary Feedback Stabilization of Naghdi’s Model." Acta Mathematica Sinica, English Series 21, no. 1 (2004): 169–84. http://dx.doi.org/10.1007/s10114-004-0408-1.

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18

Ferreres, Gilles, and Carsten D�ll. "Robust stabilization of an LFT model." International Journal of Robust and Nonlinear Control 10, no. 9 (2000): 699–708. http://dx.doi.org/10.1002/1099-1239(20000730)10:9<699::aid-rnc497>3.0.co;2-s.

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19

Guzmán, Patricio. "Boundary stabilization of a microbeam model." Mathematical Methods in the Applied Sciences 43, no. 9 (2020): 5979–84. http://dx.doi.org/10.1002/mma.6340.

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20

Kim, A., V. Kormyshev, H. Kwon, M. Safronov, and A. Tarasyev. "Results of HIV-infection model stabilization." IFAC-PapersOnLine 48, no. 25 (2015): 210–13. http://dx.doi.org/10.1016/j.ifacol.2015.11.087.

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21

Liu, Zhiwei. "Conformity Model in Social Network Opinion Formation." Lecture Notes in Education Psychology and Public Media 81, no. 1 (2025): 185–94. https://doi.org/10.54254/2753-7048/2025.21105.

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The advent of social media has profoundly influenced how public opinion is formed and consolidated. This paper delves into the intricate dynamics of opinion stabilization within various network structures and examines the role of conformity in the opinion formation process. Drawing on existing theoretical frameworks, including social psychology and evolutionary game theory, this study uses agent-based modeling to simulate opinion dynamics across different network topologies. This study compares the mean stabilization times across basic structures (star, ring, tree) and complex structures (BarabsiAlbert, Watts-Strogatz, Scale-Free, random graph), considering variations in group size. For simple social networks, linear model analysis indicates that a larger network size, a larger network diameter, smaller density, and higher measures of betweenness, degree, closeness, and eigenvector centralities are statistically significant in relation to longer average opinion stabilization times. For complex structures, linear model analysis indicates that a larger network size, a smaller network diameter, larger density, and higher measures of degree, closeness, and eigenvector centralities, along with lower measures of betweenness centrality, are statistically significant in relation to longer average opinion stabilization times.
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22

Campbell, Samuel, Michelle C. Mendoza, Aravind Rammohan, Matthew E. McKenzie, and Tamara C. Bidone. "Computational model of integrin adhesion elongation under an actin fiber." PLOS Computational Biology 19, no. 7 (2023): e1011237. http://dx.doi.org/10.1371/journal.pcbi.1011237.

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Cells create physical connections with the extracellular environment through adhesions. Nascent adhesions form at the leading edge of migrating cells and either undergo cycles of disassembly and reassembly, or elongate and stabilize at the end of actin fibers. How adhesions assemble has been addressed in several studies, but the exact role of actin fibers in the elongation and stabilization of nascent adhesions remains largely elusive. To address this question, here we extended our computational model of adhesion assembly by incorporating an actin fiber that locally promotes integrin activation. The model revealed that an actin fiber promotes adhesion stabilization and elongation. Actomyosin contractility from the fiber also promotes adhesion stabilization and elongation, by strengthening integrin-ligand interactions, but only up to a force threshold. Above this force threshold, most integrin-ligand bonds fail, and the adhesion disassembles. In the absence of contraction, actin fibers still support adhesions stabilization. Collectively, our results provide a picture in which myosin activity is dispensable for adhesion stabilization and elongation under an actin fiber, offering a framework for interpreting several previous experimental observations.
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23

Bagnato, V. S., N. P. Bigelow, G. I. Surdutovich, and S. C. Zílio. "Dynamical stabilization: a new model for supermolasses." Optics Letters 19, no. 19 (1994): 1568. http://dx.doi.org/10.1364/ol.19.001568.

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24

SOTNIKOVA, MARGARITA. "PLASMA STABILIZATION BASED ON MODEL PREDICTIVE CONTROL." International Journal of Modern Physics A 24, no. 05 (2009): 999–1008. http://dx.doi.org/10.1142/s0217751x09044450.

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The nonlinear model predictive control algorithms for plasma current and shape stabilization are proposed. Such algorithms are quite suitable for the situations when the plant to be controlled has essentially nonlinear dynamics. Besides that, predictive model based control algorithms allow to take into account a lot of requirements and constraints involved both on the controlled and manipulated variables. The significant drawback of the algorithms is that they require a lot of time to compute control input at each sampling instant. In this paper the model predictive control algorithms are demonstrated by the example of plasma vertical stabilization for ITER-FEAT tokamak. The tuning of parameters of algorithms is performed in order to decrease computational load.
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25

Olvera, Arturo, Abraham De la Rosa, and Claudia M. Giordano. "Mechanical stabilization of the Levitron’s realistic model." European Physical Journal Special Topics 225, no. 13-14 (2016): 2729–40. http://dx.doi.org/10.1140/epjst/e2016-60005-3.

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26

Le Roux, Patrick. "Simplified model and stabilization of SSFP sequences." Journal of Magnetic Resonance 163, no. 1 (2003): 23–37. http://dx.doi.org/10.1016/s1090-7807(03)00115-0.

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27

Raymond, Jean-Pierre. "Feedback Stabilization of a Fluid-Structure Model." SIAM Journal on Control and Optimization 48, no. 8 (2010): 5398–443. http://dx.doi.org/10.1137/080744761.

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28

Klabučar, D., and G. E. Brown. "Two-phase model with vector-meson stabilization." Nuclear Physics A 454, no. 3-4 (1986): 589–605. http://dx.doi.org/10.1016/0375-9474(86)90107-7.

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29

HOVORUSHCHENKO, T., M. KRASOVSKYI, and A. YAVNYUK. "MODEL AND METHOD OF STABILIZATION OF THE SINGLE-AXIS PLATFORM FOR A MULTI-FUNCTIONAL COOPERATIVE ROBOTIC SYSTEM." Herald of Khmelnytskyi National University. Technical sciences 283, no. 2 (2020): 47–50. https://doi.org/10.31891/2307-5732-2020-283-2-47-50.

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The conducted analysis of known methods and solutions in the field of cooperative robotics shows that there are still a large number of unresolved issues in this area, in particular, the stabilization of the single-axis platform, which is the purpose of this study. Cooperative robotics is a new branch of industrial robotics that enables joint production. Cooperative production largely depends on the availability of cooperative robot. The creation of cooperative robots that work in close contact with humans is a direction that is rapidly developing. Cooperative application, natural for such tasks, should provide absolute safety, high functional flexibility and autonomy of the robots used. This requires the development of new technologies in the field of management, the creation of new design solutions, the development of algorithms for planning and execution of movements that ensure the safety of physical interaction between man and robot. Given that the market for cooperative robots is projected to reach $ 12,303 million by 2025 from $ 710 million in 2018, i.e. will increase by 50.31% during 2018-2025, the urgent task now is to develop a multifunctional cooperative robotic system or technology. The analysis of known methods and solutions in the field of cooperative robotics shows that there are still a large number of unresolved issues in this area, in particular, the stabilization of the single-axis platform. The paper develops a model for stabilizing a single-axis platform using the PID algorithm in the MATLAB Simulink, which allows fine-tuning additional parameters of a single-axis platform and optimizing transients, which emerge due to external factors that negatively affect the real prototype. A method for studying the quality of a single-axis platform stabilization algorithms has also been developed, as a result of which graphs are constructed for each of a single-axis platform stabilization algorithms, according to which the quality of the stabilization algorithm can be analytically determined – each graph is compared to others, the lower and narrower graph indicates more quality algorithm of stabilization of a single-axis platform.
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30

Mrabet, E., M. Abdelghani, and N. Ben Kahla. "A New Criterion for the Stabilization Diagram Used with Stochastic Subspace Identification Methods: An Application to an Aircraft Skeleton." Shock and Vibration 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/409298.

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The modal parameters of a structure that is estimated from ambient vibration measurements are always subject to bias and variance errors. Accordingly the concept of the stabilization diagram is introduced to help users identify the correct model. One of the most important problems using this diagram is the appearance of spurious modes that should be discriminated to simplify modes selections. This study presents a new stabilization criterion obtained through a novel numerical implementation of the stabilization diagram and the discussion of model validation employing the power spectral density. As an application, an aircraft skeleton is used.
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31

Shekhovtsov, V. V., M. V. Lyashenko, P. V. Potapov, A. A. Shvedunenko, and A. V. Vaganov. "ANALYSIS OF THE VEHICLE MOTION CONTROL SYSTEM FOR MOVING ON STEPPED SURFACES." Spravochnik. Inzhenernyi zhurnal, no. 309 (December 2022): 55–59. http://dx.doi.org/10.14489/hb.2022.12.pp.055-059.

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The paper presents an analysis of the stabilization of the movement of a vehicle when moving on various surfaces, in particular on stepped ones. A distinctive feature of the vehicle is the unique design of the transmission and the method of motion stabilization based on the stabilization of the reverse pendulum. The motion stabilization system is a relationship between the operation of physical and intellectual objects, in this analysis, a mathematical model of the vehicle completely similar to the real model acts as a physical object, and as an intelligent vehicle stabilization system based on the connection of software applications with the parameters of the physical model. A proportional-integral-differential regulator acts as a control element of the stabilization system, which allows, based on the input signal, to control the output signal in real time to stabilize the movement of the vehicle. Based on performed analysis, it was possible to prove the operability of the vehicle stabilization system.
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32

Roan, Jiunn-Ren. "Application of the Edwards Model to Steric Stabilization of Nanoparticles." International Journal of Modern Physics B 17, no. 15 (2003): 2791–820. http://dx.doi.org/10.1142/s0217979203020727.

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The Edwards model for polymers with excluded-volume interaction has been used to study steric stabilization of colloidal dispersions since Dolan and Edwards' work in 1975. Following the standard picture of steric stabilization since 1950s, Dolan and Edwards solved the model by treating the surfaces of colloidal particles as plane surfaces. Consequently, their result was also consistent with the standard picture: Reduction of conformational entropy of the adsorbed homopolymers results in a purely repulsive force that stabilizes the colloidal dispersion. Recently the Edwards model was solved without treating the spherical particle surfaces as plane surfaces. It was found that, contrary to the standard picture, the conformational entropy indeed increases and the force between particles may be either purely attractive or attractive at large particle-particle separation, repulsive at intermediate separation, and again attractive at small separation. Thus, the standard picture of steric stabilization was challenged. This review summarizes this recent progress in the theory of steric stabilization of colloidal dispersions. Reconciliation between the standard picture and the recent result, and possible directions for further research are also discussed.
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33

Ablesimov, Aleksandr, Tatyana Zhmurchyk, Andrei Rud, and Arthur Tsoba. "Digital Stabilization System." Electronics and Control Systems 1, no. 67 (2021): 47–53. http://dx.doi.org/10.18372/1990-5548.67.15589.

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A model of a discrete system for stabilizing the ship's course has been developed and the results of research on the choice of an optimal digital controller for it are presented. The method of the describing function is used as a research method. In developing a mathematical model of a discrete system, a typical block diagram of a continuous stabilization system was used. The location of the quantizer and extrapolator in it was determined. The latter was selected as a zero-order extrapolator, as the simplest, easily implemented with standard equipment, although the use of a first-order extrapolator can give some advantage in the accuracy of information recovery. Modeling is carried out in state variables and in a classical way based on a discrete transfer function of stabilization system. For the research, the package of visual block simulation modeling of the MatLab matrix system was used. Modeling of the system of stabilization with different types of controllers allowed to carry out their comparative assessment. To improve the properties of the digital proportional integral derivative controller, it is proposed to introduce in it a correction system.
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34

Ortiz de Luzuriaga, Iker, Xabier Lopez, and Adrià Gil. "Learning to Model G-Quadruplexes: Current Methods and Perspectives." Annual Review of Biophysics 50, no. 1 (2021): 209–43. http://dx.doi.org/10.1146/annurev-biophys-060320-091827.

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G-quadruplexes have raised considerable interest during the past years for the development of therapies against cancer. These noncanonical structures of DNA may be found in telomeres and/or oncogene promoters, and it has been observed that the stabilization of such G-quadruplexes may disturb tumor cell growth. Nevertheless, the mechanisms leading to folding and stabilization of these G-quadruplexes are still not well established, and they are the focus of much current work in this field. In seminal works, stabilization was observed to be produced by cations. However, subsequent studies showed that different kinds of small molecules, from planar and nonplanar organic molecules to square-planar and octahedral metal complexes, may also lead to the stabilization of G-quadruplexes. Thus, the comprehension and rationalization of the interaction of these small molecules with G-quadruplexes are also important topics of current interest in medical applications. To shed light on the questions arising from the literature on the formation of G-quadruplexes, their stabilization, and their interaction with small molecules, synergies between experimental studies and computational works are needed. In this review, we mainly focus on in silico approaches and provide a broad compilation of different leading studies carried out to date by different computational methods. We divide these methods into twomain categories: ( a) classical methods, which allow for long-timescale molecular dynamics simulations and the corresponding analysis of dynamical information, and ( b) quantum methods (semiempirical, quantum mechanics/molecular mechanics, and density functional theory methods), which allow for the explicit simulation of the electronic structure of the system but, in general, are not capable of being used in long-timescale molecular dynamics simulations and, therefore, give a more static picture of the relevant processes.
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35

Saad, Issa Sarsam. "Assessing the Resistance to Capillary Rise of Moisture of Asphalt Stabilized Embankment model." Journal of Advances in Geotechnical Engineering 6, no. 3 (2023): 1–7. https://doi.org/10.5281/zenodo.8255449.

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<em>One of the major durability problems of roadway embankment that is constructed with Gypseous soil is the continuous dissolution of the gypsum due to the capillary rise of moisture throughout its service life. Restriction of the dissolution may be ensured by stabilizing the Gypseous soil with emulsified liquid asphalt. In the present investigation, Gypseous soil was implemented in the construction of an embankment model in the laboratory. Cationic emulsion was used to stabilize the soil. The control and the stabilized soil embankment models were subjected to capillary rise of moisture from the base of the model. The vertical deformation was monitored on the surface of the embankment model for dry and capillary rise absorbed soil models before and after stabilization with emulsion. It was observed that the vertical deformation of the control model increases significantly after absorption. However, it decline by 45 % after stabilization when tested in the dry condition. The vertical deformation declines by 95.8 % after stabilization when tested under the capillary rise absorption condition.</em>
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36

Kramar, Vadim, Aleksey Kabanov, and Sergey Dudnikov. "A Mathematical Model for a Conceptual Design and Analyses of UAV Stabilization Systems." Fluids 6, no. 5 (2021): 172. http://dx.doi.org/10.3390/fluids6050172.

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This article considers the principle of constructing mathematical models of functionally complex multidimensional multiloop continuous–discrete UAV stabilization systems. This is based on the proposal for constructing a mathematical model based on the class of the considered complexity of the stabilization system-multidimensionality, multi-rating, and elasticity. Multiloop (multidimensional) UAV stabilization systems are often characterized by the control of several interconnected state elements and the existence of several channels for the propagation of signals and mutual connections between individual objects. This is due to the need not only to take into account the numerous disturbing factors (for example, wind) acting on the control object as well as the need to use several points of application of control actions. Additionally, an important point is the possible separation of the mutual influence of the roll and yaw channels of the UAV on its synthesis and analysis. For this purpose, a mathematical model has been constructed using a description in the form of transfer functions, and therefore, in the form of structural diagrams. The principle of obtaining transfer functions is shown to demonstrate additional dynamic constraints introduced by elastic deformations into the stabilization loop through gyroscopic devices and accelerometers. This will make it possible to formulate a methodology for analyzing the influence of aeroelastic constraints on the stabilization loop, which will allow developing approaches to formulate requirements for the effective placement of gyroscopes and accelerometers on the UAV. The proposed approach allows creating a complete system of analysis and synthesis tools for complex multidimensional continuous–discrete UAV stabilization systems.
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37

Bryant, C. W., and E. C. Bauer. "A Simulation of Benthal Stabilization." Water Science and Technology 19, no. 12 (1987): 161–67. http://dx.doi.org/10.2166/wst.1987.0141.

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An existing benthal model has been modified and calibrated for the description of the physical and biological processes in consolidating organic deposits of both municipal and papermill origin. Temperature sensitivities, phosphorus reactions, and flexibility as to solids identification were added to the model. Model predictions of organic stabilization, direct oxygen uptake, and soluble feedback of nitrogen, phosphorus, and chemical oxygen demand have been compared to data collected from both laboratory and field operations. Phosphorus distribution was controlled by advection and biological uptake in all cases. Nitrogen feedback varied in a complex manner and was difficult to simulate.
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38

ANAMI, Keiko. "Model Tests for Dynamic Stabilization of Tainter-Gates." Proceedings of Yamanashi District Conference 2019 (2019): D44. http://dx.doi.org/10.1299/jsmeyamanashi.2019.d44.

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39

Yokota, Tomomi, Michael Winkler, Akio Ito, and Kentarou Fujie. "Stabilization in a chemotaxis model for tumor invasion." Discrete and Continuous Dynamical Systems 36, no. 1 (2015): 151–69. http://dx.doi.org/10.3934/dcds.2016.36.151.

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40

Zhao, Xiaowei, and George Weiss. "Strong Stabilization of a Non-uniform SCOLE Model." IFAC Proceedings Volumes 41, no. 2 (2008): 8761–66. http://dx.doi.org/10.3182/20080706-5-kr-1001.01481.

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41

Taniuchi, Hiroshi, Alan Schechter, and Joseph Shiloach. "Linderstrom-Lang-Schellmans Model for Protein Stabilization Revisited." Current Protein & Peptide Science 5, no. 4 (2004): 275–86. http://dx.doi.org/10.2174/1389203043379666.

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42

Shih, Frank Y., and Alan Stone. "A New Image Stabilization Model for Vehicle Navigation." Positioning 01, no. 01 (2010): 8–17. http://dx.doi.org/10.4236/pos.2010.11002.

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43

Bellomo, Nicola, and Youshan Tao. "Stabilization in a chemotaxis model for virus infection." Discrete & Continuous Dynamical Systems - S 13, no. 2 (2020): 105–17. http://dx.doi.org/10.3934/dcdss.2020006.

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44

Brewczyński, Damin, and Grzegorz Tora. "DYNAMICS MODEL OF STABILIZATION MECHANISM FOR HELICOPTER PAD." Journal of KONES. Powertrain and Transport 23, no. 2 (2016): 61–68. http://dx.doi.org/10.5604/12314005.1213556.

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45

Hossain, Mainul, Nikhil Pal, Sudip Samanta, and Joydev Chattopadhyay. "Fear Induced Stabilization in an Intraguild Predation Model." International Journal of Bifurcation and Chaos 30, no. 04 (2020): 2050053. http://dx.doi.org/10.1142/s0218127420500534.

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Abstract:
In the present paper, we investigate the impact of fear in an intraguild predation model. We consider that the growth rate of intraguild prey (IG prey) is reduced due to the cost of fear of intraguild predator (IG predator), and the growth rate of basal prey is suppressed due to the cost of fear of both the IG prey and the IG predator. The basic mathematical results such as positively invariant space, boundedness of the solutions, persistence of the system have been investigated. We further analyze the existence and local stability of the biologically feasible equilibrium points, and also study the Hopf-bifurcation analysis of the system with respect to the fear parameter. The direction of Hopf-bifurcation and the stability properties of the periodic solutions have also been investigated. We observe that in the absence of fear, omnivory produces chaos in a three-species food chain system. However, fear can stabilize the chaos thus obtained. We also observe that the system shows bistability behavior between IG prey free equilibrium and IG predator free equilibrium, and bistability between IG prey free equilibrium and interior equilibrium. Furthermore, we observe that for a suitable set of parameter values, the system may exhibit multiple stable limit cycles. We perform extensive numerical simulations to explore the rich dynamics of a simple intraguild predation model with fear effect.
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46

Veronica, A. Jeya, and N. Senthil Kumar. "Development of hybrid microgrid model for frequency stabilization." Wind Engineering 41, no. 5 (2017): 343–52. http://dx.doi.org/10.1177/0309524x17723203.

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Power systems of today are highly complex and highly interconnected. It generates electricity by burning fossil fuels (coal, natural gas, diesel, nuclear fuel, etc.), which produces harmful gases and particles, pollutes environment, and degrades lives. To mitigate the bad impact of burning fossil fuels and meet the increase in electrical system, demand distributed energy sources employing nonconventional energy sources like wind and solar are used. Electric power generation through the nonconventional energy sources has become more viable and cheaper than the fossil fuel–based power plants. This article explores the development of a microgrid model incorporating wind turbine generators, diesel generator, fuel cells, aqua electrolyzers, and battery energy storage systems. An optimization scheme for fixing the proportional–integral controller parameters of frequency regulation is developed for different possible combinations of wind power with other distributed energy resources in the microgrid.
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Minamitsuji, Masato, Misao Sasaki, and Wade Naylor. "Volume stabilization in a warped flux compactification model." Journal of High Energy Physics 2006, no. 12 (2006): 079. http://dx.doi.org/10.1088/1126-6708/2006/12/079.

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48

Kundu, Sudeep, and Amiya K. Pani. "Stabilization of Kelvin–Voigt viscoelastic fluid flow model." Applicable Analysis 98, no. 12 (2018): 2284–307. http://dx.doi.org/10.1080/00036811.2018.1460810.

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49

Sun, M., and J. K. Wang. "Flight stabilization control of a hovering model insect." Journal of Experimental Biology 210, no. 15 (2007): 2714–22. http://dx.doi.org/10.1242/jeb.004507.

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50

Perez, Tristan, Ching-Yaw Tzeng, and Graham C. Goodwin. "Model Predictive Rudder Roll Stabilization Control for Ships." IFAC Proceedings Volumes 33, no. 21 (2000): 45–50. http://dx.doi.org/10.1016/s1474-6670(17)37049-0.

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