Sampled-data control through model-free reinforcement learning with effective experience replay by Bo Xiao, H.K. Lam, Xiaojie Su, Ziwei Wang, Frank P.-W. Lo, Shihong Chen, Eric Yeatman

“…Given that the continuous states of the plant will be the input of the agent, the state–action value function is approximated by the fully connected feed-forward neural networks (FCFFNN). …”
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Transmissibility-Based Operational Modal Analysis: Enhanced Stabilisation Diagrams by Gert De Sitter, Christof Devriendt, Patrick Guillaume

“…This approach has several advantages: because of the deterministic character of the transmissibility functions, the estimated parameters are more accurate than the results obtained with the power spectra based operational modal analysis techniques. …”
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A Heuristic Scheduler for Port-Constrained Floating-Point Pipelines by Zheming Jin, Jason D. Bakos

“…The objective of our technique is to maximize functional unit reuse while minimizing the following performance metrics in the generated circuit: (1) maximum multiplexer fanin, (2) datapath fanout, (3) number of multiplexers, and (4) number of registers. …”
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Improved Artificial Bee Colony Optimization Underwater Localization Algorithm by Logistic Chaos Mapping and Differential Evolution by Jiaxing CHEN, Yang LIU, Xiaoqian LIU, Zhihua LIU

“…The chaotic sequence generated by the mapping function was employed as a replacement for the random number generator, with the objective of achieving a more uniform distribution of the population during the initial distribution phase. …”
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Formation of spatial vegetation patterns in heterogeneous environments. by Karl Kästner, Daniel Caviedes-Voullième, Christoph Hinz

“…However, such model-generated patterns are considerably more regular than natural patterns, which indicates that the concept of autogenous pattern formation is incomplete. …”
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A machine-learning approach for predicting butyrate production by microbial consortia using metabolic network information by Claudia Silva-Andrade, Sergio Hernández, Pedro Saa, Ernesto Perez-Rueda, Daniel Garrido, Alberto J. Martin

“…Despite its importance, there is a lack of computational methods capable of predicting its production as a function of the consortium composition. Here, we present a novel machine-learning approach leveraging automatically generated genome-scale metabolic models to tackle this limitation. …”
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The Heavy‐Tailed Inverse Power Lindley Type‐I Model: Reliability Inference and Actuarial Applications by Amal S. Hassan, Diaa S. Metwally, Mohammed Elgarhy, Rokaya Elmorsy Mohamed

“…Bayesian estimators for the parameters and reliability functions (survival and hazard rate) are derived using gamma priors and both symmetric and asymmetric loss functions. …”
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Modal Shift in Public Transport Under Fiscal-Based Policies Scenarios for Jakarta by Alfa Adib Ash Shiddiqi, Dwita Sutjiningsih, Tri Tjahjono, Linda Darmajanti, Gede B. Suprayoga

“…A stated preference survey was conducted, and a binomial logit model and standard utility function were developed for analysis. Diagrams showing commuters' willingness to shift to public transport were then generated from the analysis. …”
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Multifractal Analysis of Geological Data Using a Moving Window Dynamical Approach by Gil Silva, Fernando Pellon de Miranda, Mateus Michelon, Ana Ovídio, Felipe Venturelli, Letícia Moraes, João Ferreira, João Parêdes, Alexandre Cury, Flávio Barbosa

“…Validations for the proposed methodology were performed using controlled artificial data generated from Weierstrass–Mandelbrot functions. Then, the methodology was applied to real geological profile data measuring permeability and porosity in oil wells, revealing the fractal dimensions of these data along the depth of each analyzed case. …”
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Use of an ejector to reduce the time of air injection during testing of the containment system at nuclear power plants by Sergii Surkov, Volodymyr Kravchenko, Iryna Korduba, Andrii Golovchenko, Oleksandr Butenko, Serhii Tsybytovskyi, Yuliia Trach

“…In addition, they used numerical methods that generate an error. The present work uses a mathematical apparatus that provides a more accurate result. …”
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Investigating age-related muscle force adaptations in males and females during sit-to-walk transition motion using EMG-informed modeling by Zakia Hussain, Alpha Agape Gopalai, Siti Anom Ahmad, Mazatulfazura Sf Binti Salim, Darwin Gouwanda, Pei-Lee Teh

“…Moreover, females exhibited more pronounced age-related muscle force changes than males during gait initiation. …”
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Comparative evaluation of artificial intelligence models GPT-4 and GPT-3.5 in clinical decision-making in sports surgery and physiotherapy: a cross-sectional study by Sönmez Saglam, Veysel Uludag, Zekeriya Okan Karaduman, Mehmet Arıcan, Mücahid Osman Yücel, Raşit Emin Dalaslan

“…Paired t-test results (t(55) = 10.45, p < 0.001) demonstrated that GPT-4 provided more accurate diagnoses, superior treatment plans, and more detailed surgical recommendations. …”
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A Parameter-tunable Triangular Norm with Monotonic Genes by WU Lunhua, ZHAO Hui, WANG Yue

“… In order to study the optimization of Zadeh operator, a definition of parameter-tunable triangular norm with monotonic genes is given.First, we defined a kind of triangular norm Fλin the general sense generated by monotone functions using elementary operations, and then a definition of triangular conorm Gλin the general sense is given by using duality.This type of definition unifies the optimal Zadeh operator proposed by some authors.Next, this definition is applied to generate a new pair of triangular norms. …”
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Asymptotic Theory in Model Diagnostic for General Multivariate Spatial Regression by Wayan Somayasa, Gusti N. Adhi Wibawa, La Hamimu, La Ode Ngkoimani

“…In this work, we assume that the components of the observation, whose mean is generated by a certain basis, are correlated. By this reason we need more effort in deriving the results. …”
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Endothelial trauma in the surgery of cataract by Đurović Branislav M.

“…Owing to sophisticated technologies, it has become a routine surgery with lowered complications rate; hence, the functional outcome is more conditioned by operative trauma. …”
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Structure of loop space at finite N by Robert de Mello Koch, Antal Jevicki

“…Abstract The space of invariants for a single matrix is generated by traces containing at most N matrices per trace. …”
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Effects of Acute Time-Restricted Eating on Inflammation in Individuals With Psoriasis: Protocol for a Case-Control, Prospective Study by Sinibaldo Romero Arocha, Kim Han, Rebecca D Huffstutler, Geethika P Thota, Natalie A Macheret, Amber B Courville, Robert J Brychta, Kong Y Chen, Stephanie T Chung, Laura C Coates, Alexander J Clarke, Michael N Sack

“…Recent studies suggest TRE may improve immune function in individuals with metabolic syndrome and cardiovascular risk factors. …”
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Urban Resilience Assessment on Earthquake (Case Study: District 1 of Tabriz City) by Nazli Pakru, Mir saeid Moosavi

“…After preparing the layer for each criteria, Fuzzy layers are extracted using fuzzy functions. Using the SUM, AND, GUMMA operators, the final layers were generated, which was evaluated using the Band Collection Statistics tool, the gamma layer 0.9 was selected as the best output. based on the scenario of gamma 0.9 in the study area, about 26% of the area has very low and low resilience. …”
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G2Grad-CAMRL: An Object Detection and Interpretation Model Based on Gradient-Weighted Class Activation Mapping and Reinforcement Learning in Remote Sensing Images by Shoulin Yin, Liguo Wang, Muhammad Shafiq, Lin Teng, Asif Ali Laghari, Muhammad Faizan Khan

“…The reinforcement learning method is used to optimize the generated region generation network. At the same time, we improve the reward function of reinforcement learning to improve the effectiveness of the region generation network. …”
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Parameterizing the Tip Effects of Submerged Vegetation in a VARANS Solver by Lai Jiang, Jisheng Zhang, Hao Chen, Chenglin Liu, Mingzong Zhang

“…The two-scale <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mfenced open="⟨" close="⟩" separators="|"><mrow><mi>k</mi></mrow></mfenced><mo>−</mo><mfenced open="⟨" close="⟩" separators="|"><mrow><mi>ε</mi></mrow></mfenced></mrow></semantics></math></inline-formula> turbulence model is further modified with the inclusion of a new damping function to capture the suppression of wake generation. …”
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