Exact Recovery for System Identification With More Corrupt Data Than Clean Data by Baturalp Yalcin, Haixiang Zhang, Javad Lavaei, Murat Arcak

“…This paper provides the first mathematical guarantee in the literature on learning from correlated data for dynamical systems in the case when there is less clean data than corrupt data.…”
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Variable Torque Control of Offshore Wind Turbine on Spar Floating Platform Using Advanced RBF Neural Network by Lei Wang, Shan Zuo, Y. D. Song, Zheng Zhou

“…Aiming at the external disturbances and nonlinear uncertain dynamic systems of OFWT because of the proximity to load centers and strong wave coupling, this paper proposes an advanced radial basis function (RBF) neural network approach for torque control of OFWT system at speeds lower than rated wind speed. …”
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Multistability Analysis and Function Projective Synchronization in Relay Coupled Oscillators by Ahmad Taher Azar, Ngo Mouelas Adele, Kammogne Soup Tewa Alain, Romanic Kengne, Fotsin Hilaire Bertrand

“…In the coupling path, the outer dynamical systems show finite-time synchronization of their outputs, that is, displaying the same dynamics at exactly the same moment. …”
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TIE‐GCM ROPE ‐ Dimensionality Reduction: Part I by Piyush M. Mehta, Richard J. Licata

“…The methodology uses a page out of dynamical systems theory to first reduce the order of the state using dimensionality reduction and then modeling the temporal dynamics in the reduced state space. …”
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From Serendipity to Precision: Integrating AI, Multi-Omics, and Human-Specific Models for Personalized Neuropsychiatric Care by Masaru Tanaka

“…It focuses on key innovations such as dynamic systems modeling and network-based approaches that use genetic, molecular, and environmental data to identify new therapeutic targets. …”
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A Novel Improved Maximum Entropy Regularization Technique and Application to Identification of Dynamic Loads on the Coal Rock by Chunsheng Liu, Chunping Ren

“…First, the identification model for dynamic load is established through the relationship between the uncertain load vector, and the assembly matrix of the responses was measured by the machinery dynamic system. Then, the entropy item of maximum entropy regularization (MER) is redesigned using the robust estimation method, and the elongated penalty function according to the ill-posedness characteristics of load identification, which was named as a novel improved maximum entropy regularization (IMER) technique, was proposed to process the dynamic load signals. …”
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Multi-host transmission dynamics of schistosomiasis and its optimal control by Chunxiao Ding, Zhipeng Qiu, Huaiping Zhu

“…The dynamics of the model is rigorously analyzed by using the theory of dynamical systems. The theoretical results show that the disease free equilibrium is globally asymptotically stable if $\mathcal R_0<1 and="" if="" mathcal="" r_0="">1$ the system has only one positive equilibrium. …”
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Analysis and Simulation of Thermodynamic Diagrams of Convective and Destructive Storms in Mountainous Regions (Case Study: Meshkinshahr City) by Dariush Yarahmadi, Jamid Mirhashemi, Habib Ariantabar

“…These properties caused the formation of a hidden instability or potential during the hours prior to the start of precipitation, which, during the precipitation, was interchanged with the dynamic system and thermal convection, the instability of the potential turned into actual and caused the occurrence of flooding and destructive precipitation.…”
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On the Optimal Control of HIV-TB Co-Infection and Improvement of Workplace Productivity by Baba Seidu, Oluwole Daniel Makinde, Ibrahim Yakubu Seini

“…The impact of these diseases on workforce productivity is studied in this paper from the viewpoint of dynamical systems. In this paper, we present a nonlinear ordinary differential equation model to study the dynamics of HIV-TB co-infection and its effect on workforce productivity. …”
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Long-Term Predictions of COVID-19 in Some Countries by the SIRD Model by Lijun Pei, Mengyu Zhang

“…We use the SIRD (S: susceptible, I: infected, R: recovered, D: dead) epidemic model which is a nonautonomous dynamic system with incubation time delay to study the evolution of COVID-19 in some countries. …”
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Creating a Health Data Marketplace for the Digital Health Era by Imtiaz Khan, PhD, Mohamed A. Maher, Moderator: Anjum Khurshid, PhD

“…• What are the potential socioeconomic impacts of a digital health data marketplace on patients, healthcare providers, and researchers, and how do you see the economics of health data developing into dynamic systems that will reflect in the processes of care delivery and management? …”
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Efficiency of Removing Xylene Vapor from Air Utilizing Nano Graphene and Nano Graphene Oxide by Akram Tabrizi, Mostafa Jafarizaveh, Hamid Shirkhanloo, Farideh Golbabaeie

“…Material and Methods: In this study, in order to investigate the absorption efficiency of nanographene and nanographene oxide after the synthesis of nano absorbents in a dynamic system, xylene vapor was produced in a chamber in pure air and stored in a Tedlar sampling bag and then transferred to the adsorbent. …”
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<i>DynPy</i>—Python Library for Mechanical and Electrical Engineering: An Assessment with Coupled Electro-Mechanical Direct Current Motor Model by Damian Sierociński, Bogumił Chiliński, Franciszek Gawiński, Amadeusz Radomski, Piotr Przybyłowicz

“…It enables the user to model, solve, simulate, and report analysis of dynamic systems with the use of a single environment. …”
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Numerical analysis of evaporation reduction in floating photovoltaic power plants: influence of design parameters by Berlioux Baptiste, Amiot Baptiste, Ferrand Martin, Le Berre Rémi, Rhazi Oume-Lgheit, Vidal Javier, Pabiou Hervé, Knikker Ronnie

“…Indeed, the interaction between atmospheric conditions, water bodies, and the FPV plant creates a dynamic system that is challenging to study and accurately model. …”
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Intelligent back-propagated neural networks to study nonlinear heat transfer in tangent-hyperbolic fluids by Muhammad Asif Zahoor Raja, Huma Tayyab, Aamna Muskan Malik, Qazi Mahmood Ul Hassan, Kottakkaran Sooppy Nisar, Muhammad Shoaib

“…The numerical solutions for the nonlinear fluid dynamics system were considered to reduce mean square error. …”
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Human Development X: Explanation of Macroevolution Top-Down Evolution Materializes Consciousness. The Origin of Metamorphosis by Tyge Dahl Hermansen, Søren Ventegodt, Joav Merrick

“…In this paper, we first give a short discussion of the macroevolution viewing life as information-directed, complex, dynamic systems. On this basis, we give our explanation of the origin of life and discuss the top-down evolution of molecules, proteins, and macroevolution. …”
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A Review of Stall Detection in Subsonic Axial Compressors by Kellie N. Wilson, Golam Gause Jaman, Anish Thapa, Amirthavarshini Vivekananda, Mitchell Lowe, Zachary Grima, Marco P. Schoen

“…To gain an understanding of these stall phenomena, past and current research has focused on modeling axial compressors as dynamic systems, with a focus on obtaining descriptive formulations of the physical aspects of stall. …”
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On optimization of substrate removal in a bioreactor with wall attached and suspended bacteria by Alma Mašić, Hermann J. Eberl

“…We approximate the Pareto Front numerically and study the behaviour of the system and its dependence on reactor and initial data.Overall, the modest potential of control strategies to improve reactor performance is found to be primarily due to an initial transient period in which the bacteria have to adapt to the environmental conditions in the reactor, i.e. depends heavily on the initial state of the dynamic system. In applications, the initial state, however, is often unknown and therefore the efficiency of reactor optimization, compared to the uncontrolled system with constant flow rate, is limited.…”
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Food Safety Risk Communication between the Food Regulator and Consumer in China: An Evolutionary Game Perspective by Ying Zhu, May Chu, Xiaowei Wen, Yiqin Wang

“…Based on the evolutionary game theory, we achieved the evolutionary stable equilibrium points under complying different constraint conditions by solving the replicator dynamic equations of parties in the dynamic system. In the end, some numerical examples have been displayed to simulate the agents’ choices. …”
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Potential Pitfalls of the Humanized Mice in Modeling Sepsis by Krzysztof Laudanski, Michael Stentz, Matthew DiMeglio, William Furey, Toby Steinberg, Arpit Patel

“…Although certain viral and protozoan infections can be replicated in humanized mice, whether a highly complex and dynamic systemic inflammation like sepsis can be accurately represented by current humanized mouse models in a clinically translatable manner is unclear. …”
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