Academic literature on the topic 'Deterministic controlled processes'

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Journal articles on the topic "Deterministic controlled processes"

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Goreac, Dan, and Oana-Silvia Serea. "Abel-type Results for Controlled Piecewise Deterministic Markov Processes." Differential Equations and Dynamical Systems 25, no. 1 (2015): 83–100. http://dx.doi.org/10.1007/s12591-015-0245-y.

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Pang, Guodong, and Martin V. Day. "Fluid Limits of Optimally Controlled Queueing Networks." Journal of Applied Mathematics and Stochastic Analysis 2007 (August 21, 2007): 1–19. http://dx.doi.org/10.1155/2007/68958.

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We consider a class of queueing processes represented by a Skorokhod problem coupled with a controlled point process. Posing a discounted control problem for such processes, we show that the optimal value functions converge, in the fluid limit, to the value of an analogous deterministic control problem for fluid processes.
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Goreac, Dan, and Oana-Silvia Serea. "Linearization Techniques for Controlled Piecewise Deterministic Markov Processes; Application to Zubov’s Method." Applied Mathematics & Optimization 66, no. 2 (2012): 209–38. http://dx.doi.org/10.1007/s00245-012-9169-x.

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Asteasuain, Mariano. "Deterministic Approaches for Simulation of Nitroxide-Mediated Radical Polymerization." International Journal of Polymer Science 2018 (August 9, 2018): 1–16. http://dx.doi.org/10.1155/2018/7803702.

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Since its development in the last decades, controlled radical polymerization (CRP) has become a very promising option for the synthesis of polymers with controlled structure. The design and production of tailor-made materials can be significantly improved by developing models capable of predicting the polymer properties from the operating conditions. Nitroxide-mediated polymerization (NMP) was the first of the three main variants of CRP to be discovered. Although it has lost preference over the years against other CRP alternatives, NMP is still an attractive synthesis method because of its sim
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Zhang, Yi. "Average Optimality for Continuous-Time Markov Decision Processes Under Weak Continuity Conditions." Journal of Applied Probability 51, no. 4 (2014): 954–70. http://dx.doi.org/10.1239/jap/1421763321.

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This paper considers the average optimality for a continuous-time Markov decision process in Borel state and action spaces, and with an arbitrarily unbounded nonnegative cost rate. The existence of a deterministic stationary optimal policy is proved under the conditions that allow the following; the controlled process can be explosive, the transition rates are weakly continuous, and the multifunction defining the admissible action spaces can be neither compact-valued nor upper semicontinuous.
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Zhang, Yi. "Average Optimality for Continuous-Time Markov Decision Processes Under Weak Continuity Conditions." Journal of Applied Probability 51, no. 04 (2014): 954–70. http://dx.doi.org/10.1017/s0021900200011918.

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This paper considers the average optimality for a continuous-time Markov decision process in Borel state and action spaces, and with an arbitrarily unbounded nonnegative cost rate. The existence of a deterministic stationary optimal policy is proved under the conditions that allow the following; the controlled process can be explosive, the transition rates are weakly continuous, and the multifunction defining the admissible action spaces can be neither compact-valued nor upper semicontinuous.
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Goreac, Dan. "Viability, invariance and reachability for controlled piecewise deterministic Markov processes associated to gene networks." ESAIM: Control, Optimisation and Calculus of Variations 18, no. 2 (2011): 401–26. http://dx.doi.org/10.1051/cocv/2010103.

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DEMIDOVA, A. V., O. V. DRUZHININA, O. N. MASINA, and A. A. PETROV. "DEVELOPMENT OF ALGORITHMS AND SOFTWARE FOR MODELING CONTROLLED DYMAMIC SYSTEMS USING SYMBOLIC COMPUTATIONS AND STOCHASTIC METHODS." Программирование, no. 2 (March 1, 2023): 54–68. http://dx.doi.org/10.31857/s0132347423020085.

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The development of software for synthesizing and analyzing models of controlled systems taking into account their deterministic and stochastic description is an important direction of research. Results of the development of software for modeling dynamic systems the behavior of which can be described by onestep processes are presented. Models of population dynamics are considered as an example. The software uses a deterministic description of the model at its input to obtain a corresponding stochastic model in symbolic form and also analyze the model in detail (calculate trajectories in the det
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Yushkevich, A. A. "Verification Theorems for Markov Decision Processes with Controlled Deterministic Drift and Gradual and Impulsive Controls." Theory of Probability & Its Applications 34, no. 3 (1990): 474–96. http://dx.doi.org/10.1137/1134055.

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Niederdorfer, Robert, Lisa Fragner, Ling Yuan, et al. "Distinct growth stages controlled by the interplay of deterministic and stochastic processes in functional anammox biofilms." Water Research 200 (July 2021): 117225. http://dx.doi.org/10.1016/j.watres.2021.117225.

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Dissertations / Theses on the topic "Deterministic controlled processes"

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Болмат, О. В. "Моделювання узагальненої задачі про призначення з підбором ефективного алгоритму". Master's thesis, Сумський державний університет, 2020. https://essuir.sumdu.edu.ua/handle/123456789/81392.

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В роботі побудовано моделі для задачі про оптимальне призначення виконавцям (бібліотекам) робіт (сканування книг) за наявності обмежень на ресурси виконавців (час реєстрації для виконання робіт, обмежена кількість робіт на день) та обмеженні загального часу. Задача розв’язується з залученням евристичних алгоритмів, що застосовні для задач великого розміру. Побудовані алгоритми, що ґрунтуються на принципі оптимальності з динамічного програмування, та ітераційних послідовностях перестановок робіт з сортуванням. Наводяться результати програмної реалізації.<br>В роботі побудовано моделі для задачі
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Salles, Jose Leandro Felix. "Modelagem e otimização de problemas de produção : estoque via processos deterministicos por partes." [s.n.], 1991. http://repositorio.unicamp.br/jspui/handle/REPOSIP/258785.

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Orientador: João Bosco Ribeiro do Val<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica<br>Made available in DSpace on 2018-07-14T00:24:40Z (GMT). No. of bitstreams: 1 Salles_JoseLeandroFelix_M.pdf: 3552288 bytes, checksum: 6d264a98226a2f91be0ca15e4dd66fab (MD5) Previous issue date: 1991<br>Resumo: O objetivo deste trabalho é model ar e otimizar uma classe de sistemas de produção - estoque através da teoria de Processos Detuminísticos por Partes (P.D.P.). 0 P.D.P é um processo estocástico markoviano a tempo continuo. Sua trajetória de estado é de
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Chu, Chih-Chiang, and 朱志強. "Data-Driven Run-to-Run Controllers Using Combinational Control of Deterministic Models and Stochastic Models for Production Processes with Stochastic Distribution Characteristics." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/14442800948615497019.

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碩士<br>中原大學<br>化學工程研究所<br>97<br>In recent years, semiconductor manufacturing has swiftly evolved as a lucrative industry with high capital investment. Most actual manufacturing processes experience deterministic changes, such as set-point changes and process drifts. In addition, the output variable of the process is usually subject to random inputs, such as metrology delay of uncertain duration and non-Gaussian disturbances which can be treated as random variables that follow a specific probability density function (PDF). Conventional control is unable to minimize both sources of variation. The
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Book chapters on the topic "Deterministic controlled processes"

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Liu, Guoxin. "Piecewise Deterministic Markov Processes and Semi-Dynamic Systems." In Markov Processes and Controlled Markov Chains. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4613-0265-0_6.

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O’Connor, Timothy. "What is free will?" In Free Will. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780197572153.003.0005.

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This chapter explains the concept of free will and then explores a number of conceptual and empirical puzzles to which it gives rise: Is it compatible with causal determinism, with non-deterministic “chance,” or with the apparent fact that much human action is automated rather than being consciously controlled? Does it admit of degrees? On what basis might we distinguish freedom-diminishing causal influences from neutral or freedom-enhancing influences? And what evidence could establish that we ever exert “top-down” control over the sub-personal neural processes that underlie all human choice
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Abkai Ciamak and Hesser Jürgen. "Virtual Intensive Care Unit (ICU): Real-Time Simulation Environment Applying Hybrid Approach Using Dynamic Bayesian Networks and ODEs." In Studies in Health Technology and Informatics. IOS Press, 2009. https://doi.org/10.3233/978-1-58603-964-6-1.

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Combining deterministic (e.g. differential equations) and probabilistic (Bayesian Networks) approaches to model physiological processes in a real-time software environment leads to a novel model for simulation of human patient physiology especially relevant for intensive care units (ICU). Using dedicated HW/SW interfaces simulated patient signals are measurable with standard monitoring systems. Therefore, this system, based on realistic simulations, is very well suited for teaching and education. Additionally, the environment is usable for inferring patient-specific model structures and parame
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Kuan Foo, Yung, and Yeng Chai Soh. "Optimal Stochastic H∞ Controller Synthesis via LQR Theory." In Stochastic Processes - Theoretical Advances and Applications in Complex Systems [Working Title]. IntechOpen, 2024. http://dx.doi.org/10.5772/intechopen.1004889.

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Existing published works on H∞ and mixed H∞/H2 control generally solve the problem via game theory and saddle-point solutions. We provide an alternative solution via the stochastic LQR approach. Specifically, we consider the problem of H∞ state regulation problem for continuous-time systems which are subjected to both energy-bounded deterministic disturbances and stochastic white noises, and uncertain initial system state x(0) satisfying E{x(0)} = 0 and E{x(0)x(0)T} ≤ X0. We derive feedback laws which minimize sup||w(t)||2 ≤ 1E{||Π1/2x(t)||T2 + ||R1/2u(t)||T2}, where Π and R are positive-defin
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Bannikov Alexander, Egerton Simon, Callaghan Vic, David Johnson Brian, and Shaukat Muneeb. "Quantum Computing: Non-deterministic controllers for Artificial Intelligent Agents." In Ambient Intelligence and Smart Environments. IOS Press, 2010. https://doi.org/10.3233/978-1-60750-639-3-109.

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This paper describes work that seeks to take the first steps towards demonstrating the application of Sci-Fi prototyping methodology to developing futuristic products. Science-Fiction Prototyping is based on an iterative interaction between science fiction and fact. We begin the paper by explaining the science-fiction prototyping process. We then identify a futuristic product to act as an exemplar of this process (free willed domestic robots) before describing virtual-reality systems and how they can provide a suitable visualisation environment for conceptualizing products. Next we identify a
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Qiao, Ming, Linfeng Gou, Yuhang Liu, Yingxue Chen, and Yingzhi Huang. "Adaptive Cycle Engine Acceleration Controller Based on Deep Reinforcement Learning." In Advances in Transdisciplinary Engineering. IOS Press, 2025. https://doi.org/10.3233/atde250327.

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The adaptive cycle engine can adapt to the requirements of aircraft subsonic flight and supersonic flight, and its acceleration process shows strong nonlinearity. The deep reinforcement learning method has strong adaptive learning ability for complex uncertain environments, and is suitable for the Markov decision-making process of adaptive cycle engine acceleration control. This paper proposes an adaptive cycle engine acceleration controller based on deep reinforcement learning method. The deep deterministic strategy gradient algorithm is applied to the continuous control process. Ornstein-uhl
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Shmelova, Tetiana. "Collaborative Decision Making in Emergencies by the Integration of Deterministic, Stochastic, and Non-Stochastic Models." In Advances in Human and Social Aspects of Technology. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7210-8.ch010.

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The author makes an analysis of the ICAO documents on risk assessment. To determine the quantitative characteristics of risk levels, models for decision-making (DM) by the operators (pilots, air traffic controllers, engineers) under risk and uncertainty have been developed. The new methodology includes the process of integration deterministic, stochastic, and non-stochastic uncertainty models. Application of artificial intelligence (AI) models for the organization of collaborative decision making (CDM) by all aviation operators using individual models based on general information on the flight
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Doveton, John H. "Saturation-Height Functions." In Principles of Mathematical Petrophysics. Oxford University Press, 2014. http://dx.doi.org/10.1093/oso/9780199978045.003.0012.

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As observed by Worthington (2002), “The application of saturation-height functions forms part of the intersection of geologic, petrophysical, and reservoir engineering practices within integrated reservoir description.” It is also a critical reference point for mathematical petrophysics; the consequences of deterministic and statistical prediction models are finally evaluated in terms of how closely the estimates conform to physical laws. Saturations within a reservoir are controlled by buoyancy pressure applied to pore-throat size distributions and pore-body storage capacities within a rock u
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Conference papers on the topic "Deterministic controlled processes"

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Jabbar, Abdul, and Prabhu Janakaraj. "TSN-Based Zonal Architecture for Digital Backbone." In Vertical Flight Society 80th Annual Forum & Technology Display. The Vertical Flight Society, 2024. http://dx.doi.org/10.4050/f-0080-2024-1218.

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Modern aircraft have an established need for a high-performance, open standards solution to interconnect increasing number of digital components including sensors, actuators, controllers, processors, displays and data concentrators. The aircraft can be envisioned as a distributed system requiring highly available, reliable, and deterministic communication network - often termed as digital backbone - for safe operation. This paper introduces a new zonal architecture for aerospace onboard networks using Time-Sensitive Networking (TSN). TSN is an open standard based deterministic Ethernet solutio
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Terzopoulos, Demetri. "Controlled continuity for visual reconstruction." In OSA Annual Meeting. Optica Publishing Group, 1985. http://dx.doi.org/10.1364/oam.1985.ww7.

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III-posed reconstruction problems are the rule rather than the exception in early vision. Image reconstruction begins with a selection of (usually intensity based) 2-D data. In visual surface reconstruction, the raw data comprise local 3-D shape estimates. Generally, the initial information may be available from multiple sources and at multiple resolutions, but it is often sparse and corrupted by noise. The goal of reconstruction is to generate the best possible interpretation of the available visual information, making explicit the continuous regions as well as the locations of bounding disco
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Alford, Laura K., and Kevin J. Maki. "Effects of Third-Order Nonlinearities on the Fourier Representation of Deterministic Wave Trains." In ASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/omae2015-41441.

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The accurate estimation of extreme responses for offshore platforms and supply vessels is critical to the design process. Long time Monte Carlo-type simulations can theoretically capture extreme responses, but this type of simulation is not feasible in the early design process due to the extreme computational expense. An alternative is to use shorter simulations that are tailored to create statistically equivalent extreme responses. The latter requires judicious specification of expected extreme sea conditions. Extreme responses can be estimated using a variety of processes, including the Desi
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Felli, Paolo, Lavindra de Silva, Brian Logan, and Svetan Ratchev. "Process Plan Controllers for Non-Deterministic Manufacturing Systems." In Twenty-Sixth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/142.

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Determining the most appropriate means of producing a given product, i.e., which manufacturing and assembly tasks need to be performed in which order and how, is termed process planning. In process planning, abstract manufacturing tasks in a process recipe are matched to available manufacturing resources, e.g., CNC machines and robots, to give an executable process plan. A process plan controller then delegates each operation in the plan to specific manufacturing resources. In this paper we present an approach to the automated computation of process plans and process plan controllers. We exten
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Baklanov, Nikolay, Xuedong Yang, Maxim Klyuzhev, and Ben Durand. "Wireline Tractor System with User Programmable Behaviors for Semi-Autonomous Restriction Navigation." In SPE/ICoTA Well Intervention Conference and Exhibition. SPE, 2023. http://dx.doi.org/10.2118/212876-ms.

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Abstract A semi-autonomous wireline tractor solution for casedhole applications enabling navigation through complex restrictions with minimal operator interaction in absence of digital telemetry is presented. The robotic conveyance technology provides a foundation for applications where programming of tractoring behaviors is available to field personnel as a part of the job design. Digital telemetry may not be available for wireline tractor tools. A conveyance system with programmable behaviors allows downhole navigation when conventional telemetry is nonexistent or has prohibitively low bandw
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Khan, Gufran S., Mikhail Gubarev, Chet Speegle, and Brian Ramsey. "Deterministic Computer-Controlled Polishing Process for High-Energy X-Ray Optics." In Optical Fabrication and Testing. OSA, 2010. http://dx.doi.org/10.1364/oft.2010.othb2.

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Golini, Don, Arne Lindquist, Mark Atwood, and Custodio Ferrera. "Influence of Process Parameters in Deterministic Microgrinding." In Optical Fabrication and Testing. Optica Publishing Group, 1994. http://dx.doi.org/10.1364/oft.1994.omc1.

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The expanded capabilities of the Opticam equipment have resulted in the introduction of a new regime of machining of brittle materials, called deterministic microgrinding. Optical components are deterministically microground to a very high level of form accuracy (1/5 wave peak to valley) and surface finish (50 Angstroms rms) using a repeatable and predictable computer controlled process. This is a result of the introduction of precision machine tools to optics manufacturing. The surface finish being achieved on optical glass is unprecedented using a production oriented process (cycle time of 1
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Jokinen, M., A. Kosonen, M. Niemela, J. Ahola, and J. Pyrhonen. "Disturbance Observer for Speed-Controlled Process with Non-Deterministic Time Delay of Feedback Information." In 2007 IEEE Power Electronics Specialists Conference. IEEE, 2007. http://dx.doi.org/10.1109/pesc.2007.4342453.

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Sreenivasan, Krishnamachar. "Cooling of a Many-Core Multiprocessor: Experimental Results for OLTP Workloads." In ASME 2013 International Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Microsystems. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/ipack2013-73265.

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Stochastic heat conduction differential equation in spite of its complexity allows stationary solutions valid over a certain range of variables characterizing heat flow in multi-processor cores. Heat conduction equation is recast to account for anisotropy of a many core multi-processor in which heat generated at various locations depends on whether it is a cache, processor, bus controller, or memory controller: within the core generated heat depends on the hit rate, processor utilization, cache organization, and the technology used. Thermal conductivity of and heat generation in the core are t
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Sathe, Sumedh, Chinmay Samak, Tanmay Samak, Ajinkya Joglekar, Shyam Ranganathan, and Venkat N. Krovi. "Data Driven Vehicle Dynamics System Identification Using Gaussian Processes." In WCX SAE World Congress Experience. SAE International, 2024. http://dx.doi.org/10.4271/2024-01-2022.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Modeling uncertainties pose a significant challenge in the development and deployment of model-based vehicle control systems. Most model- based automotive control systems require the use of a well estimated vehicle dynamics prediction model. The ability of first principles-based models to represent vehicle behavior becomes limited under complex scenarios due to underlying rigid physical assumptions. Additionally, the increasing complexity of these models to meet ever-increasing fidelity requirements presents challenges f
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