Relational dynamics and Page-Wootters formalism in group field theory by Andrea Calcinari, Steffen Gielen

“…As a result, different canonical formalisms for group field theory have been discussed in the literature. We address these issues using a parametrised version of group field theory, in which all (geometry and matter) degrees of freedom evolve in a fiducial parameter. …”
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Investigating Nutritional and Health Dynamics across Stratified Profiles of Obesity by Stanislav Azor

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Dynamics of Green and Conventional Bonds: Hedging Effectiveness and Sustainability Implication by Rihab Belguith

“…To this end, we employ a time-varying parameter vector autoregression (TVP-VAR), first deriving dynamic variance–covariance matrices and then conducting variance decomposition analysis to gauge connectedness and spillover effects of various bond benchmarks. …”
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Dynamic control to stabilize the passive robot subjected external perturbance by Yining Zhou, Zhongkui Sun, Nannan Zhao, Wei Xu

“…However, most research results based on the assumed ideal walking environment offer only a limited reference for the actual development and application. To tackle this issue, a dynamic model of the passive robot walking in a disturbed environment is constructed in this paper. …”
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Gas-dynamic Analyzer of Nitrogen-hydrogen Mixture for Industrial Application by Halyna Matiko, Yevhen Pistun

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Development of an information measuring and control system for a quadrocopter by V. V. Sleptsov, V. L. Afonin, A. E. Ablaeva, Ba Phuong Dinh

“…The article deals with the issues of synthesis and analysis of information-measuring and control systems of quadrocopters. …”
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Privacy-preserving federated learning framework with dynamic weight aggregation by Zuobin YING, Yichen FANG, Yiwen ZHANG

“…There are two problems with the privacy-preserving federal learning framework under an unreliable central server.① A fixed weight, typically the size of each participant’s dataset, is used when aggregating distributed learning models on the central server.However, different participants have non-independent and homogeneously distributed data, then setting fixed aggregation weights would prevent the global model from achieving optimal utility.② Existing frameworks are built on the assumption that the central server is honest, and do not consider the problem of data privacy leakage of participants due to the untrustworthiness of the central server.To address the above issues, based on the popular DP-FedAvg algorithm, a privacy-preserving federated learning DP-DFL algorithm for dynamic weight aggregation under a non-trusted central server was proposed which set a dynamic model aggregation weight.The proposed algorithm learned the model aggregation weight in federated learning directly from the data of different participants, and thus it is applicable to non-independent homogeneously distributed data environment.In addition, the privacy of model parameters was protected using noise in the local model privacy protection phase, which satisfied the untrustworthy central server setting and thus reduced the risk of privacy leakage in the upload of model parameters from local participants.Experiments on dataset CIFAR-10 demonstrate that the DP-DFL algorithm not only provides local privacy guarantees, but also achieves higher accuracy rates with an average accuracy improvement of 2.09% compared to the DP-FedAvg algorithm models.…”
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Modeling HTLV-1 and HTLV-2 co-infection dynamics by E. A. Almohaimeed, A. M. Elaiw, A. D. Hobiny

“…Additionally, sensitivity analysis of the basic reproduction numbers for HTLV-1 single infection ($ R_{1} $) and HTLV-2 single infection ($ R_{2} $) is performed to better understand the key parameters influencing co-infection dynamics. The study also explores the impact of CD8$ ^{+} $ T cell proliferation in the co-infection dynamics of HTLV-1 and HTLV-2, highlighting the importance of the CD8$ ^{+} $ T cell response in controlling the progression of HTLV-1. …”
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Coupled Dynamics Modeling and Validation of Maglev Vehicle and Bridge Systems by Fei Zhou, Xiaolong Li

“…To address the vehicle-bridge coupling vibration issue of the Qingyuan Maglev Tourist Line, it is necessary to establish a maglev vehicle–bridge coupling dynamics simulation model that reflects the actual line conditions. …”
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Quantifying the Dynamic Stability of Gait Patterns in People with Hallux Valgus by Chaneun Park, Nyeonju Kang, KyoungKyu Jeon, Kiwon Park

“…Previous studies evaluating abnormal gait patterns caused by deformity used spatiotemporal parameters; however, they failed to characterize the overall gait dynamics. …”
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Biochemical parameters and adaptation of white rats with active and passive type of behavior under immobilization stress by Fedorenko Yu.V.

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Molecular surface descriptors to predict antibody developability: sensitivity to parameters, structure models, and conformational sampling by Eliott Park, Saeed Izadi

“…However, the predictive power and reproducibility of such methods depend heavily on the selection of molecular descriptors, model parameters, accuracy of predicted structure models, and conformational sampling techniques. …”
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Influence of Bracing Systems on Pile Design Parameters: A Structure–Soil–Pile Interaction Approach by Seyma Teberik, Fatih Celik, Ersin Aydin

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Electrical Equivalent Circuit Parameter Estimation of Commercial Induction Machines Using an Enhanced Grey Wolf Optimization Algorithm by Premkumar Manoharan, Sowmya Ravichandran, Jagarapu S. V. Siva Kumar, Mustafa Abdullah, Tan Ching Sin, Tengku Juhana Tengku Hashim

“…To overcome these limitations, this study introduces an Adaptive Weight Grey Wolf Optimizer (AWGWO) to enhance the accuracy and reliability of induction motor parameter estimation. The AWGWO incorporates an adaptive weight mechanism that dynamically adjusts the exploration and exploitation balance, effectively mitigating issues such as premature convergence to local optima. …”
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A neural-network-enhanced parameter-varying framework for multi-objective model predictive control applied to buildings by Dylan Wald, Olga Doronina, Kathryn Johnson, Ryan King, Michael Sinner, Kevin Griffin, Rohit Chintala, Deepthi Vaidhynathan, Jibonananda Sanyal, Marc Day

“…One effective way to address this issue is to leverage previously unexploited demand flexibility through advanced control strategies. …”
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Emotional Dynamics in Social Interactions: A Multi-Strategy Synergy Model by Xinyu Wang, Lipu Zhang

“…Global sensitivity analysis identified the natural emotional decay rate as the most influential parameter for emotional dynamics. An empirical case study of commuters’ weekly emotional changes demonstrated the model’s ability to capture real-world emotional fluctuations. …”
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Optimal Vibration Fields in Problems of Modeling Dynamic States of Technical Objects by A. V. Eliseev, N. K. Kuznetsov

“…To evaluate the field with account for noisy or unreliable requirements for dynamic characteristics, the smoothing parameter was used, indicating the priority of the criterion of optimality of the vibration field shape. …”
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Controlling Complex Dynamics in a Protected Area Discrete-Time Model by Paolo Russu

“…We observed that some values of 𝛽 can generate a chaotic regime from a stable dynamic of the OAPA model. Finally, to eliminate the chaotic regime, we design a controller by OGY method, assuming the user fee as a controller parameter.…”
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THE INFLUENCE OF THREE-WEEK AEROBIC EXERCISE PROGRAM ON NEURODYNAMIC PARAMETERS OF PATIENTS UNDERWENT CORONARY BYPASS GRAFTING by Y. A. Argunova, O. A. Trubnikova, A. S. Mamontova, I. D. Syrova, I. N. Kuhareva, O. V. Maleva, O. L. Barbarash

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EFFECT OF SPINDLE SERVO DRIVE PROPERTIES ON DRILLING DYNAMICS OF DEEP PINHOLES by Victor Petrovich Lapshin, Ilya Andreyevich Turkin

“…Some issues on forming movement modeling when drilling deep holes with the dynamic link generated under cutting are considered. …”
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