The A3C Algorithm With Eligibility Traces of Energy Management for Plug-In Hybrid Electric Vehicles by Dingyi Guo, Guangyin Lei, Huichao Zhao, Fang Yang, Qiang Zhang

“…To enhance the learning process, eligibility traces are introduced to refine the advantage function by weighting historical actions. …”
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Resource-Efficient Acoustic Full-Waveform Inversion via Dual-Branch Physics-Informed RNN with Scale Decomposition by Cai Lu, Jijun Liu, Liyuan Qu, Jianbo Gao, Hanpeng Cai, Jiandong Liang

“…The primary PIRNN branch performs forward-wave equation modeling at the original scale and computes the discrepancy between synthetic and observed seismic records. …”
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Directly from surface to bulk: rapid prediction of internal densification in laser powder bed fusion additively manufactured nickel-based superalloy using machine learning by Longhai Hu, Keyu Shi, Dongdong Gu, Han Zhang, Miao Chang, Menghuan Yin, Jinming Xing, Ruiqi Wang, Kai Tang, Kuanyang Feng, Xuechun Hei

“…For the quantitative evaluation of processing quality of laser additive manufacturing, traditional characterisation methods such as Archimedes method and computed tomography (CT) face limitations in testing volume-constrained components, while optical imaging methods require destructive sample preparation. …”
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Application of Non-Parametric and Forecasting Models for the Sustainable Development of Energy Resources in Brazil by Gabriela Mayumi Saiki, André Luiz Marques Serrano, Gabriel Arquelau Pimenta Rodrigues, Guilherme Dantas Bispo, Vinícius Pereira Gonçalves, Clóvis Neumann, Robson de Oliveira Albuquerque, Carlos Alberto Schuch Bork

“…This study utilizes data envelopment analysis (DEA) and bootstrap computational methods to evaluate Brazil’s energy efficiency from 2004 to 2023. …”
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Glucofuranose as corrosion inhibitor in API 5 L X70 steel immersed in NaCl 3 % by different hydrodynamic conditions and theoretical study by Araceli Espinoza-Vázquez, Alma Sánchez Eleuterio, Guillermo E. Negrón-Silva, Ricardo Galván Martínez, Ricardo Orozco Cruz, Elsie Ramírez Domínguez, Alan Miralrio, Miguel Castro, Anatolio Martínez Jiménez

“…The α-D-glucofuranose was synthesized and evaluated by Electrochemical Impedance Spectroscopy (EIS) and Polarization Curves (CP) at different rotation rates, kinetic time and adsorption process onto API 5 L X70 steel in a saline medium with theoretical study. …”
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An innovative thermal simulation study of microstructure improvement by delay forging during solidification by Jiongshen Chen, Li Rong, Chenxi Ma, Wu Wei, Shengping Wen, Kunyuan Gao, Hui Huang, Zuoren Nie

“…The solid fraction at the beginning of the forging process is an important factor affecting the performance of the casting-forging integrated forming, which is an innovative and efficient process. …”
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Effect of statins on arterial wall inflammation as assessed by 18F-FDG PET CT: an updated systematic review and meta-analysis by Tannaz Jamialahmadi, Željko Reiner, Luis E. Simental-Mendia, Wael Almahmeed, Sercan Karav, Ali H. Eid, Francesco Giammarile, Amirhossein Sahebkar

“…Abstract Background Pathogenesis of atherosclerosis is largely mediated by inflammatory process. Statins are lipid-lowering drugs which also have anti-inflammatory effects. 18 fluorine radiolabeled fluorodeoxyglucose (18 F-FDG) positron emission tomography-computed tomography (PET-CT) is considered to be a good indicator of arterial wall inflammation. …”
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Wear Characteristics of Spark Plasma Sintered Lightweight High Entropy Alloys: A Short Review by Kazeem Oladiti Sanusi, Nicholus Malatji, Mxolisi Brendon Shongwe, Samson Olaitan Jeje, Lehlogonolo Rudolf Kanyane

“…The prospects for HEAs include chances for innovative alloy compositions, the use of computational modeling, and an emphasis on sustainability. …”
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NBDNet: A Self-Supervised CNN-Based Method for InSAR Phase and Coherence Estimation by Hongxiang Li, Jili Wang, Chenguang Ai, Yulun Wu, Xiaoyuan Ren

“…Phase denoising constitutes a critical component of the synthetic aperture radar interferometry (InSAR) processing chain, where noise suppression and detail preservation are two mutually constraining objectives. …”
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Enhanced Vehicle Tracking With Discretization Error Control for OFDM-Based Radar System by Seong-Hwan Hyun, Jiho Song, Keunwoo Kim, Jong-Ho Lee, Seong-Cheol Kim

“…In this paper, we propose a vehicle tracking algorithm designed to correct discretization errors arising during the radar sample acquisition process. The algorithm adaptively computes measurement correction factors by leveraging the statistical properties of quantization bins in the two-dimensional radar image profile. …”
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DIAGNOSTIC CRITERIA FOR THE FORMATION OF GLAUCOMATOUS OPTIC NEUROPATHY AT THE VARIOUS STAGES OF THE DISEASE by A. G. Shchuko, Y. S. Pyatova, T. N. Iureva, A. S. Grishchuk

“…Decrease perimeter indices of all kinds of computer perimetry were observed in patients with more advanced stage of disease.…”
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Alkaline Amino Acids for Salt Reduction in Surimi: A Review by Tong Shi, Guxia Wang, Yu Xie, Wengang Jin, Xin Wang, Mengzhe Li, Yuanxiu Liu, Li Yuan

“…However, traditional processing methods rely on high concentrations of salt (2–3%) to maintain texture and stability, contributing to excessive sodium intake. …”
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Dynamic Optimization of Xylitol Production Using Legendre-Based Control Parameterization by Eugenia Gutiérrez, Marianela Noriega, Cecilia Fernández, Nadia Pantano, Leandro Rodriguez, Gustavo Scaglia

“…This paper presents an improved methodology for optimizing the fed-batch fermentation process of xylitol production, aiming to maximize the final concentration in a bioreactor co-fed with xylose and glucose. …”
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An Optimization Method for Operation Adjustment of High-Speed Delayed Trains by Xiaojuan Li, Yueying Huo, Zhenying Yan, Baoming Han

“…In addition, the second model is an optimization model for operation adjustment with the least average delay time of each train at each station by updating the state matrixes of the train operation process model. The algorithms are designed for these models, and this approach can reduce the computation time. …”
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Anamnesis Checklist for Informed Oral Contraceptive Choices: A Spanish Perspective by Josep Perelló-Capo, Ángeles Blanco Molina, Javier Trujillo Santos, María López Menéndez Arqueros, Esther de la Viuda, Borja Otero García-Ramos, Dolores Pérez Jaraíz, Luis Ignacio Devesa Otero

“…Medians were computed for each variable, and the study group collaboratively determined the variables to include in the anamnesis checklist. …”
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Ciliary peristalsis flow of hydromagnetic Sutterby nanofluid through symmetric channel: Viscous dissipation in case of variable electrical conductivity by Sameh A. Hussein, Sameh E. Ahmed, Anas A.M. Arafa

“…To carry out the numerical computations and produce graphical solutions, an appropriate algorithm is created and is referred to as the built-in command ND-Solve via computational software known as Mathematica. …”
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Spike-Driven Channel-Temporal Attention Network with Multi-Scale Convolution for Energy-Efficient Bearing Fault Detection by JinGyo Lim, Seong-Eun Kim

“…SpikeCAN utilizes the inherent sparsity and event-driven processing capabilities of spiking neural networks (SNNs), significantly minimizing both computational load and power consumption. …”
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Additive Manufacturing Oriented Parametric Design Automation of Adaptive Joint System for an Irregular Form Gridshell Structure by Jin-Ho Ahn, Nam-Hyuk Ham, Ju-Hyung Kim, Jae-Jun Kim

“…In architectural engineering, triangular tessellation using polygon mesh topology is one of the commonly used computational geometric approaches to simplify a free curved building façade into flat triangular facets and their subsequent straight edges. …”
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The coupled vibration of train and bridge as high-speed trains meet in crosswind by Wenhua Guo, Xinmin Hong, Chunxia Chen

“…Design/methodology/approach – The computational fluid dynamics method is adopted to simulate the aerodynamic force in the whole process of train passing each other by using dynamic grid technology. …”
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Numerical analysis method of stress wave transmission attenuation of coal and rock structural plane by Wenlong SHEN, Renren ZHU, Ziqiang CHEN, Guocang SHI

“…Given the one-dimensional dynamic joint angle and axial static load difference of the coal rock structural plane under the bearing damage of the stress wave transmittance problem, the mechanism of interface inclination and axial static load on the transmitted stress wave of the coal-rock structural surface was revealed by using indoor experiments, theoretical analysis and computer simulation. The simulation and machine learning of stress wave transmission in the experimental process of Split Hopkinson Pressure Bar (SHPB) were carried out by combining the Barton-Bandis nodal ontology model, UDEC discrete element simulation and Gray Wolf Algorithm optimized BP neural network technology. …”
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