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Journal articles on the topic 'State-augmented'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Ila, Viorela, Juan Andrade-Cetto, and Alberto Sanfeliu. "OUTDOOR DELAYED-STATE VISUALLY AUGMENTED ODOMETRY." IFAC Proceedings Volumes 40, no. 15 (2007): 548–53. http://dx.doi.org/10.3182/20070903-3-fr-2921.00093.

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2

Alvarado, F. L., and W. F. Tinney. "State estimation using augmented blocked matrices." IEEE Transactions on Power Systems 5, no. 3 (1990): 911–21. http://dx.doi.org/10.1109/59.65921.

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3

Hendricksen, C. S. "Augmented state-transition diagrams for reactive software." ACM SIGSOFT Software Engineering Notes 14, no. 6 (1989): 61–67. http://dx.doi.org/10.1145/70739.70746.

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4

Azhilay, A. A., E. V. Komissarova, and A. A. Kolesnikov. "The state of augmented reality technology in tourism cartography." Interexpo GEO-Siberia 1 (May 18, 2022): 169–79. http://dx.doi.org/10.33764/2618-981x-2022-1-169-179.

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The article presents an overview of the state of augmented reality technology in tourist cartography. The use of augmented reality technology is a promising direction in tourist cartography, which allows you to discover new facets of tourist mapping, from the study of individual attractions to cartographic works designed for long journeys with the display of various reference information in the most understandable form for the user. The article analyzes and summarizes information about existing types and methods of augmented reality, considers the relationship of tourist cartography with the c

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5

Deaves, R. H. "Covariance bounds for augmented state Kalman filter application." Electronics Letters 35, no. 23 (1999): 2062. http://dx.doi.org/10.1049/el:19991355.

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6

Lee, M. J., and K. C. Chao. "Augmented back equation of state for polar fluids." AIChE Journal 34, no. 5 (1988): 825–33. http://dx.doi.org/10.1002/aic.690340512.

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7

Wang, Xu, and Yanxia Shen. "Fault Tolerant Control of DFIG-Based Wind Energy Conversion System Using Augmented Observer." Energies 12, no. 4 (2019): 580. http://dx.doi.org/10.3390/en12040580.

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An augmented sliding mode observer is proposed to solve the actuator fault of an uncertain wind energy conversion system (WECS), which can estimate the system state and reconstruct the actuator faults. Firstly, the mathematical model of the WECS is established, and the non-linear term in the state equation is separated as the uncertain part of the system. Then, the states of the system are augmented, and the actuator fault is considered as part of the augmented state. The augmented sliding mode observer is designed to estimate the system state and actuator fault. A robust fault-tolerant contro

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8

Wang, Jinran, Peng Dong, Zhongliang Jing, and Jin Cheng. "Consensus-Based Filter for Distributed Sensor Networks with Colored Measurement Noise." Sensors 18, no. 11 (2018): 3678. http://dx.doi.org/10.3390/s18113678.

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Consensus filtering is an effective method for distributed state estimation of distributed sensor networks and the assumption of white measurement noise is widely used. However, when the measurement noise is colored, the traditional consensus filter cannot work well. In this paper, we first propose a consensus-based distributed filter for colored measurement noise by augmenting the state to include the colored measurement noise. To improve the efficiency of the filter, only local colored measurement noise is integrated into the augmented state for each local filter. Furthermore, another consen

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9

Wang, Shengpu, Mi Ding, Wang Lin, and Yubo Jia. "Verification of Approximate Initial-State Opacity for Control Systems via Neural Augmented Barrier Certificates." Mathematics 10, no. 14 (2022): 2388. http://dx.doi.org/10.3390/math10142388.

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In this paper, we propose an augmented barrier certificate-based method for formally verifying the approximate initial-state opacity property of discrete time control systems. The opacity verification problem is formulated as the safety verification of an augmented system and is then addressed by searching for augmented barrier certificates. A set of well-defined verification conditions is a prerequisite for successfully identifying augmented barrier certificates of a specific type. We first suggest a new type of augmented barrier certificate which produces a weaker sufficient condition for ap

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10

Oliva, Ricky Michael, and Labicane Malapote Gianinna Elaine. "Towards the development of RSU augmented campus: An augmented reality campus guide for Romblon State University." HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE - ENGINEERING AND TECHNOLOGY 12, no. 1 (2022): 17–22. http://dx.doi.org/10.46223/hcmcoujs.tech.en.12.1.2218.2022.

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In this era of emerging technologies, the application of the new trends has been accepted and applied in the fields of medication, education, sports, and infrastructure. Along with current innovations comes the birth of Augmented Reality (AR), a new technology that imposes 3D images and visuals into the real world. This study aims to automate and augment the process of locating campus buildings and offices by providing information as well navigation by scanning the infrastructures' image trackers using the process of augmentation. The application will elevate the in-campus experience of the st

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11

Chen, Haoqiang, Yadong Liu, Zongtan Zhou, and Ming Zhang. "A2C: Attention-Augmented Contrastive Learning for State Representation Extraction." Applied Sciences 10, no. 17 (2020): 5902. http://dx.doi.org/10.3390/app10175902.

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Reinforcement learning (RL) faces a series of challenges, including learning efficiency and generalization. The state representation used to train RL is one of the important factors causing these challenges. In this paper, we explore providing a more efficient state representation for RL. Contrastive learning is used as the representation extraction method in our work. We propose an attention mechanism implementation and extend an existing contrastive learning method by embedding the attention mechanism. Finally an attention-augmented contrastive learning method called A2C is obtained. As a re

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12

Duník, J., L. Král, J. Matoušek, O. Straka, and M. Brandner. "Data-Augmented Numerical Integration in State Prediction: Rule Selection." IFAC-PapersOnLine 58, no. 15 (2024): 139–44. http://dx.doi.org/10.1016/j.ifacol.2024.08.518.

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13

Payne, James E. "Expectations-augmented Phillips curve: further evidence from state economies." Applied Economics Letters 2, no. 8 (1995): 248–54. http://dx.doi.org/10.1080/135048595357168.

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14

Li, Wenling, Yingmin Jia, and Junping Du. "Non-augmented state estimation for nonlinear stochastic coupling networks." Automatica 78 (April 2017): 119–22. http://dx.doi.org/10.1016/j.automatica.2016.12.033.

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15

Runciman, B. "State of Play Report Augmented Reality in the Enterprise." ITNOW 56, no. 4 (2014): 56–57. http://dx.doi.org/10.1093/itnow/bwu106.

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16

Lee, M. J., and K. C. Chao. "Augmented BACK equation of state II: Polar fluid mixtures." AIChE Journal 34, no. 11 (1988): 1773–80. http://dx.doi.org/10.1002/aic.690341103.

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17

Peng, Chunlan, and Kwang-Chu Chao. "Further simplification of the augmented back equation of state." AIChE Journal 37, no. 4 (1991): 636–40. http://dx.doi.org/10.1002/aic.690370418.

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18

Lu, Lyan-Ywan, and Lap-Loi Chung. "Modal control of seismic structures using augmented state matrix." Earthquake Engineering & Structural Dynamics 30, no. 2 (2001): 237–56. http://dx.doi.org/10.1002/1096-9845(200102)30:2<237::aid-eqe6>3.0.co;2-o.

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19

Zama, Md Haider, and Friedhelm Schwenker. "ECG Synthesis via Diffusion-Based State Space Augmented Transformer." Sensors 23, no. 19 (2023): 8328. http://dx.doi.org/10.3390/s23198328.

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Cardiovascular diseases (CVDs) are a major global health concern, causing significant morbidity and mortality. AI’s integration with healthcare offers promising solutions, with data-driven techniques, including ECG analysis, emerging as powerful tools. However, privacy concerns pose a major barrier to distributing healthcare data for addressing data-driven CVD classification. To address confidentiality issues related to sensitive health data distribution, we propose leveraging artificially synthesized data generation. Our contribution introduces a novel diffusion-based model coupled with a Sta

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20

Jiansheng, Xu, Wu Hao, and Wang Yongji. "Unpower aerocraft augmented state feedback tracking guaranteed cost control." Journal of Systems Engineering and Electronics 19, no. 1 (2008): 125–30. http://dx.doi.org/10.1016/s1004-4132(08)60056-0.

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21

Iatsyshyn, Anna V., Valeriia O. Kovach, Volodymyr O. Lyubchak, et al. "Application of augmented reality technologies for education projects preparation." CTE Workshop Proceedings 7 (March 20, 2020): 134–60. http://dx.doi.org/10.55056/cte.318.

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After analysis of scientific literature, we defined that concept of “augmented reality” has following synonyms: “advanced reality”, “improved reality”, “enriched reality”, “mixed reality” and “hybrid reality”. Analysis of scientific literature and own practical experience of the use of augmented reality technologies application in educational practices allowed to state next: augmented reality technologies have a great potential for application in education; there are some cases of augmented reality use for school education; positive aspects of augmented reality technologies application in high

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22

Kumar, Ankur. "Augmented RealityAugmented Reality." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (2021): 3510–22. http://dx.doi.org/10.22214/ijraset.2021.37098.

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Augmented Reality (AR), which blends virtual information with the real environment in real-time performance, is constantly evolving and becoming more sophisticated and robust. It is critical to ensure that the augmented reality system is accepted and successful. This paper primarily discusses the current state of AR applications and the various fields in which AR is being used.

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23

Ruan, Yali, Yingting Luo, and Yunmin Zhu. "Globally Optimal Distributed Kalman Filtering for Multisensor Systems with Unknown Inputs." Sensors 18, no. 9 (2018): 2976. http://dx.doi.org/10.3390/s18092976.

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In this paper, the state estimation for dynamic system with unknown inputs modeled as an autoregressive AR (1) process is considered. We propose an optimal algorithm in mean square error sense by using difference method to eliminate the unknown inputs. Moreover, we consider the state estimation for multisensor dynamic systems with unknown inputs. It is proved that the distributed fused state estimate is equivalent to the centralized Kalman filtering using all sensor measurement; therefore, it achieves the best performance. The computation complexity of the traditional augmented state algorithm

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24

Nobahari, Hadi, and Saeed Nasrollahi. "A non-linear estimation and model predictive control algorithm based on ant colony optimization." Transactions of the Institute of Measurement and Control 41, no. 4 (2019): 1123–38. http://dx.doi.org/10.1177/0142331218798680.

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A new heuristic controller, called the continuous ant colony controller, is proposed for non-linear stochastic Gaussian/non-Gaussian systems. The new controller formulates the state estimation and the model predictive control problems as a single stochastic dynamic optimization problem, and utilizes a colony of virtual ants to find and track the best estimated state and the best control signal. For this purpose, an augmented state space is defined. An integrated cost function is also defined to evaluate the points of the augmented state space, explored by the ants. This function minimizes simu

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25

Flowers, G. T., G. Sza´sz, V. S. Trent, and M. E. Greene. "A Study of Integrally Augmented State Feedback Control for an Active Magnetic Bearing Supported Rotor System." Journal of Engineering for Gas Turbines and Power 123, no. 2 (1997): 377–82. http://dx.doi.org/10.1115/1.1360686.

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State feedback controller designs allow for pole placement in an effective manner, but reduction of static offset is difficult. On the other hand, classical control methodology allows for the increase of system type and the elimination of static offset. An integrally augmented state feedback controller provides the benefits of standard feedback designs while allowing for the elimination of static offsets (through the increase of system type). Static offset is a particular problem with magnetic bearing supported rotor systems, in that gravitational effects, current biasing, and operational load

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26

Sun, Jie, and Dong Li. "Multiple Model CPHD Filter for Tracking Maneuvering Targets." Applied Mechanics and Materials 556-562 (May 2014): 3238–41. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.3238.

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A multiple model cardinalized probability hypothesis density (CPHD) filter is proposed for tracking multiple maneuvering targets. The augmented state is established by combining the target motion mode with the kinematic state. Both the posterior cardinality distribution of the targets and the posterior probability hypothesis density (PHD) of the augmented state are jointly propagated by using CPHD recursion. Simulation results show that the proposed filter improves the estimation accuracy of target number and target states over the multiple model PHD filter and single model CPHD filter respect

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27

Tuma, Zdenek, Lubos Kotek, Jiri Tuma, and Frantisek Bradac. "APPLICATION OF AUGMENTED REALITY FOR VERIFICATION OF REAL WORKPLACE STATE." MM Science Journal 2016, no. 05 (2016): 1487–90. http://dx.doi.org/10.17973/mmsj.2016_11_2016166.

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28

Hidayat, Eka Wahyu, Andi Nur Rachman, and Muhammad Fauzan Azim. "Penerapan Finite State Machine pada Battle Game Berbasis Augmented Reality." Jurnal Edukasi dan Penelitian Informatika (JEPIN) 5, no. 1 (2019): 54. http://dx.doi.org/10.26418/jp.v5i1.29848.

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Studi penelitian ini membuat game android berbasis Augmented Reality (AR) dengan menerapkan Finite State Machine (FSM) untuk pergerakan Non Player Character (NPC). Game sejenis ini contohnya adalah game Aster Battle yang didapat sebagai hadiah dari sebuah produk makanan. Pada game tersebut ditemukan masalah dimana karakter tidak memiliki kecerdasan untuk melakukan aksi pertarungan. Permasalahan lainnya adalah hasil scan marker menampilkan karakter yang tidak sesuai markernya dan pergerakan animasi pertarungan terlalu cepat. Untuk mengatasi masalah tersebut perlu dibuat battle game sejenis deng

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29

Wang, Zhiyuan, Xovee Xu, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, and Fan Zhou. "PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 11 (2022): 12200–12207. http://dx.doi.org/10.1609/aaai.v36i11.21480.

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Electricity forecasting has important implications for the key decisions in modern electricity systems, ranging from power generation, transmission, distribution and so on. In the literature, traditional statistic approaches, machine-learning methods and deep learning (e.g., recurrent neural network) based models are utilized to model the trends and patterns in electricity time-series data. However, they are restricted either by their deterministic forms or by independence in probabilistic assumptions -- thereby neglecting the uncertainty or significant correlations between distributions of el

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30

Zogopoulos, Vasilios, Merwan Birem, Roeland De Geest, et al. "Image-based state tracking in Augmented Reality supported assembly operations." Procedia CIRP 104 (2021): 1113–18. http://dx.doi.org/10.1016/j.procir.2021.11.187.

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31

Wan, Kaiyao, and Tong Jiang. "Augmented system for detecting the steady-state voltage stability margin." IET Generation, Transmission & Distribution 14, no. 21 (2020): 4788–95. http://dx.doi.org/10.1049/iet-gtd.2020.0713.

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32

Bei, Gou. "Observability analysis for state estimation using Hachtel’s augmented matrix method." Electric Power Systems Research 77, no. 7 (2007): 865–75. http://dx.doi.org/10.1016/j.epsr.2006.07.010.

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33

Aßfalg, Jochen, and Frank Allgöwer. "Fault diagnosis of nonlinear systems using structured augmented state models." International Journal of Automation and Computing 4, no. 2 (2007): 141–48. http://dx.doi.org/10.1007/s11633-007-0141-1.

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34

Compare, Michele, Piero Baraldi, Pietro Turati, and Enrico Zio. "Interacting multiple-models, state augmented Particle Filtering for fault diagnostics." Probabilistic Engineering Mechanics 40 (April 2015): 12–24. http://dx.doi.org/10.1016/j.probengmech.2015.01.001.

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35

Manuri, Federico, Alessandro Pizzigalli, and Andrea Sanna. "A State Validation System for Augmented Reality Based Maintenance Procedures." Applied Sciences 9, no. 10 (2019): 2115. http://dx.doi.org/10.3390/app9102115.

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Maintenance has been one of the most important domains for augmented reality (AR) since its inception. AR applications enable technicians to receive visual and audio computer-generated aids while performing different activities, such as assembling, repairing, or maintenance procedures. These procedures are usually organized as a sequence of steps, each one involving an elementary action to be performed by the user. However, since it is not possible to automatically validate the users actions, they might incorrectly execute or miss some steps. Thus, a relevant open problem is to provide users w

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36

SHAO, F. Q., and P. D. ROBERTS. "Augmented decentralized control with local feedback for steady-state systems." International Journal of Systems Science 16, no. 6 (1985): 649–65. http://dx.doi.org/10.1080/00207728508926702.

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37

Lissitz, Robert W., and Hua Wei. "Consistency of Standard Setting in an Augmented State Testing System." Educational Measurement: Issues and Practice 27, no. 2 (2008): 46–55. http://dx.doi.org/10.1111/j.1745-3992.2008.00121.x.

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38

Li, Tao, Zhuxiang Dai, Long Chen, and Yi Cheng. "Fault‐Tolerant Control Based on Augmented State Estimator and PDF." Asian Journal of Control 22, no. 2 (2018): 999–1007. http://dx.doi.org/10.1002/asjc.1941.

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39

Jia, Chen, Fucheng Liao, and Jiamei Deng. "Impulse Elimination and Fault-Tolerant Preview Controller Design for a Class of Descriptor Systems." Mathematical Problems in Engineering 2019 (December 24, 2019): 1–13. http://dx.doi.org/10.1155/2019/3857275.

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In this paper, a fault-tolerant preview controller is designed for a class of impulse controllable continuous time descriptor systems with sensor faults. Firstly, the impulse is eliminated by introducing state prefeedback; then an algebraic equation and a normal control system are obtained by restricted equivalent transformation for the descriptor system after impulse elimination. Next, the model following problem in fault-tolerant control is transformed into the optimal regulation problem of the augmented system which is constructed by a general method. And the final augmented system and its

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40

Glasserman, Paul, Jian-Qiang Hu, and Stephen G. Strickland. "Strongly Consistent Steady-State Derivative Estimates." Probability in the Engineering and Informational Sciences 5, no. 4 (1991): 391–413. http://dx.doi.org/10.1017/s0269964800002199.

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We establish strong consistency (i.e., almost sure convergence) of infinitesimal perturbation analysis (IPA) estimators of derivatives of steady-state means for a broad class of systems. Our results substantially extend previously available results on steady-state derivative estimation via IPA.Our basic assumption is that the process under study is regenerative, but our analysis uses regenerative structure in an indirect way: IPA estimators are typically biased over regenerative cycles, so straightforward differentiation of the regenerative ratio formula does not necessarily yield a valid esti

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41

Yang, Jiandong, Yuanli Cai, and Baocang Ding. "Robust Receding Horizon Control with Free Control Moves for Polytopic Parametric Uncertainty Systems Subject to Multiple Input Delays." Mathematical Problems in Engineering 2020 (April 22, 2020): 1–12. http://dx.doi.org/10.1155/2020/6943535.

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A robust receding horizon control (RHC) with free control moves is applied to polytopic parametric uncertainty systems with multiple input delays and unstable system matrices. A difficulty in the previous robust RHC work is that the free control moves are unsuitable for the system with input time delay, which is overcome in this paper by the design based on the augmented state. As a result, the synthesis of local control based on augmented feedback is given offline to alleviate the online computation burden. The free control moves before the augmented feedback are the online decision variables

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42

Tkachuk, Viktoriia V., Yuliia V. Yechkalo, and Oksana M. Markova. "Augmented reality in education of students with special educational needs." CTE Workshop Proceedings 5 (March 21, 2018): 66–71. http://dx.doi.org/10.55056/cte.136.

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The article is aimed at developing theoretical and methodological principles of augmented reality application to training students with special educational needs.The research objective is to implement the augmented reality technology as a means of supporting educational activities of students with special educational needs at higher educational institutions.The object of the research is augmented reality in education.The subject of the research is augmented reality in training students with special educational needs.Research methods include analysis of state standards, statistics and publicati

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43

Prananta, Arie Wahyu, Abdur Rohman, Risnawati Agustin, and Nuridin Widya Pranoto. "Augmented Reality for Interactive, Innovative and Fun Science Learning: Systematic Literature Review." Jurnal Penelitian Pendidikan IPA 10, SpecialIssue (2024): 45–51. http://dx.doi.org/10.29303/jppipa.v10ispecialissue.7519.

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The development of the learning process by utilizing current technological developments needs to adapt to the character of 21st-century learning. The fact that 21st-century learning is still not implemented optimally and well enough in schools has encouraged several studies that integrate Augmented Reality technology into science learning. AR Learning Media can visualize science learning concepts for understanding and structure of an object model, making AR a more effective, innovative, and fun media. Where the research objective is to examine Augmented Reality for Interactive, Innovative, and

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44

Golubkin, A., and R. Pirmagomedov. "ANALYTICAL REVIEW OF AUGMENTED AND MIXED REALITY SYSTEMS IN THE CONTEXT OF INDUSTRY 4.0." Telecom IT 9, no. 4 (2021): 1–27. http://dx.doi.org/10.31854/2307-1303-2021-9-4-1-27.

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Augmented reality systems are gaining popularity for solving problems in the field of production optimization and employee training. The article discusses augmented reality systems in the context of Industry 4.0. The analysis, generalization and synthesis of scientific publications on this topic was carried out. This article presents up-to-date information about the scientific and technological state of affairs in the field of the use of augmented reality systems in industrial enterprises, which can be useful to both scientific and engineering workers.

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45

He, Liangliang, Xiao Li, Pancheng Wang, Jintao Tang, and Ting Wang. "MAN: Memory-augmented Attentive Networks for Deep Learning-based Knowledge Tracing." ACM Transactions on Information Systems 42, no. 1 (2023): 1–22. http://dx.doi.org/10.1145/3589340.

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Knowledge Tracing (KT) is the task of modeling a learner’s knowledge state to predict future performance in e-learning systems based on past performance. Deep learning-based methods, such as recurrent neural networks, memory-augmented neural networks, and attention-based neural networks, have recently been used in KT. Such methods have demonstrated excellent performance in capturing the latent dependencies of a learner’s knowledge state on recent exercises. However, these methods have limitations when it comes to dealing with the so-called Skill Switching Phenomenon (SSP), i.e., when learners

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46

Kinakh, Vitaliy, Mariia Drozdova, and Slava Voloshynovskiy. "MV–MR: Multi-Views and Multi-Representations for Self-Supervised Learning and Knowledge Distillation." Entropy 26, no. 6 (2024): 466. http://dx.doi.org/10.3390/e26060466.

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We present a new method of self-supervised learning and knowledge distillation based on multi-views and multi-representations (MV–MR). MV–MR is based on the maximization of dependence between learnable embeddings from augmented and non-augmented views, jointly with the maximization of dependence between learnable embeddings from the augmented view and multiple non-learnable representations from the non-augmented view. We show that the proposed method can be used for efficient self-supervised classification and model-agnostic knowledge distillation. Unlike other self-supervised techniques, our

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47

Aebersold, Michelle, and Dawne-Marie Dunbar. "Virtual and Augmented Realities in Nursing Education: State of the Science." Annual Review of Nursing Research 39, no. 1 (2020): 225–42. http://dx.doi.org/10.1891/0739-6686.39.225.

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The use of simulation in nursing education is an integrated part of the curriculum and has demonstrated the benefit for learning in nursing students at all levels. The next stage in simulation-based learning will utilize the wide variety of new technologies that are currently available, including virtual and augmented reality. The use of these new technologies brings with it a need for standard definitions, evaluation of its impact on learning, and new opportunities for research. Efforts are underway to standardized definitions and publish early findings on research using these new technologie

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48

Botelho, Silvia, Renato Neves, Lorenzo Taddei, and Vinícius Oliveira. "Using augmented state Kalman filter to localize multi autonomous underwater vehicles." Journal of the Brazilian Computer Society 13, no. 2 (2007): 61–70. http://dx.doi.org/10.1590/s0104-65002007000200006.

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49

Aebersold, Michelle, and Dawne-Marie Dunbar. "Virtual and Augmented Realities in Nursing Education: State of the Science." Annual Review of Nursing Research 39, no. 1 (2020): 225–42. http://dx.doi.org/10.1891/0739-6686.39.225.

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The use of simulation in nursing education is an integrated part of the curriculum and has demonstrated the benefit for learning in nursing students at all levels. The next stage in simulation-based learning will utilize the wide variety of new technologies that are currently available, including virtual and augmented reality. The use of these new technologies brings with it a need for standard definitions, evaluation of its impact on learning, and new opportunities for research. Efforts are underway to standardized definitions and publish early findings on research using these new technologie

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50

Aßfalg, Jochen, and Frank Allgöwer. "FAULT DIAGNOSIS OF CONSTRAINED NONLINEAR SYSTEMS USING STRUCTURED AUGMENTED STATE MODELS." IFAC Proceedings Volumes 39, no. 13 (2006): 1300–1305. http://dx.doi.org/10.3182/20060829-4-cn-2909.00217.

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