Investigating the impact of process parameters on the thermomechanical properties of three-dimensional (3D) printed polymer-nanoclay composites by Sheymaa Alazzawi, Noor Hassan Ali, Suha K. Shihab, Muammel M. Hanon

“…The objectives of this work were to improve the thermal conductivity, tensile strength, flexural strength, and impact resistance of the composite, and optimize key processing parameters such as nanoclay concentration, printing orientation, and layer thickness using Response Surface Methodology (RSM). …”
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Analytic-Numerical Approach to Solving Singularly Perturbed Parabolic Equations with the Use of Dynamic Adapted Meshes by D. V. Lukyanenko, V. T. Volkov, N. N. Nefedov, L. Recke, K. Schneider

“…The main objective of the paper is to present a new analytic-numerical approach to singularly perturbed reaction-diffusion-advection models with solutions containing moving interior layers (fronts). …”
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Optimization of Laser-Induced Hybrid Hardening Process Based on Response Surface Methodology and WOA-BP Neural Network by Qunli Zhang, Jianan Ling, Zhijun Chen, Guolong Wu, Zexin Yu, Yangfan Wang, Jun Zhou, Jianhua Yao

“…The laser-induced hybrid hardening process integrates laser quenching and electromagnetic induction heating to overcome traditional heat treatment limitations, enhancing the depth and properties of hardened layers for applications like wind turbine bearings. …”
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CSI-based symmetric encryption end-to-end communication system by Yongli AN, Zongrui LI, Haifei BAI, Xueyu MI

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Advances on the Links Between Turbulent and Submeso‐ to Mesoscales During EUREC4A by E. Gauvrit, M.‐N. Bouin, J.‐M. Delouis, F. Boulanger

“…Abstract Turbulent processes in the atmospheric boundary layer (ABL) are parameterized in numerical weather prediction and climate models. …”
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Palmprint recognition based on principal line features by Hongxia Wang, Teng Lv

“…With the successful removal of fine lines by WLE, we propose a new Layer Visual Transformer (LViT) design paradigm. …”
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STSG: A Short Text Semantic Graph Model for Similarity Computing Based on Dependency Parsing and Pre-trained Language Models by Hai Liao, Yan Liang, Song Chen, Lingyun Xiang, Zhimin Chang, Yun Xiao

“…Based on this, short text semantic graph (STSG) model based on dependency parsing and pre-trained language models is proposed in this paper. …”
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DMoVGPE: predicting gut microbial associated metabolites profiles with deep mixture of variational Gaussian Process experts by Qinghui Weng, Mingyi Hu, Guohao Peng, Jinlin Zhu

“…Method Here, we present the Deep Mixture of Variational Gaussian Process Experts (DMoVGPE) model, designed to overcome these issues. …”
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Heat Resistance and Heat-and-Mass Transfer in Road Pavements by B. M. Khroustalev, . Liu Tingguo, V. D. Akeliev, . Li Zhongyu, H. Yu. Aliakseyeu, V. V. Zankаvich

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Brazilian Curie isothermal mapping: the THERMOMAG model by Suze N. P. Guimaraes, Beatriz L. de Jesus, Fábio P. Vieira

“…Spectral analysis of the aeromagnetic data was used to estimate the depth of the layer related to the deepest crustal sources and their spatial distribution, thus comparing these discoveries with geothermal fields known from direct modeling. …”
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A geographic information system for gas power plant location using analytical hierarchy process and fuzzy logic by F.S. Alavipoor, S. Karimi, J. Balist, A.H. Khakian

“…It also builds a hierarchy model for gas power plant suitability. The methodologies used for site selection include analytic hierarchy process (AHP), fuzzy set theory and weighted linear combination. …”
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Resource‐explicit interactions in spatial population models by Samuel E. Champer, Bryan Chae, Benjamin C. Haller, Jackson Champer, Philipp W. Messer

“…Abstract Continuous‐space population models can yield significantly different results from their panmictic counterparts when assessing evolutionary, ecological or population genetic processes. …”
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Investigating processes influencing simulation of local Arctic wintertime anthropogenic pollution in Fairbanks, Alaska, during ALPACA-2022 by N. Brett, N. Brett, K. S. Law, S. R. Arnold, J. G. Fochesatto, J.-C. Raut, T. Onishi, R. Gilliam, K. Fahey, D. Huff, G. Pouliot, B. Barret, E. Dieudonné, R. Pohorsky, J. Schmale, A. Baccarini, A. Baccarini, S. Bekki, G. Pappaccogli, F. Scoto, S. Decesari, A. Donateo, M. Cesler-Maloney, W. Simpson, P. Medina, B. D'Anna, B. Temime-Roussel, J. Savarino, S. Albertin, S. Albertin, J. Mao, B. Alexander, A. Moon, P. F. DeCarlo, V. Selimovic, R. Yokelson, E. S. Robinson

“…<p>Lagrangian tracer simulations are deployed to investigate processes influencing vertical and horizontal dispersion of anthropogenic pollution in Fairbanks, Alaska, during the Alaskan Layered Pollution and Chemical Analysis (ALPACA) 2022 field campaign. …”
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Contrastive learning and mixture of experts enables precise vector embeddings in biological databases by Logan Hallee, Rohan Kapur, Arjun Patel, Jason P. Gleghorn, Bohdan B. Khomtchouk

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Multifractal modeling of MPEG-4 video traffic by WANG Sheng-hui, QIU Zheng-ding

“…The correlation function and marginal distribution of multipliers at each layer were investigated in multifractal multiplicative process.Based on the lemmas gained,a new multifractal MPEG-4 video traffic model（PMFM,predict-able MFM）was proposed.By modeling the coarsest coefficients with the auto-regressive（AR） process,PMFM has the ability of traffic prediction that traditional MFM do not have.Furthermore,the model stability and robustness were also improved by changing the way of parameter estimation.…”
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Parallel visualization of reservoir models with ParaView by Oleg Kovalevskiy, Michel Cancelliere

“…For such grids, partitioning into vertical blocks has proved to be much more efficient for parallel visualization, than split into horizontal layers. Not only it requires less memory, processing and rendering are also faster. …”
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Social network model based on the transmission of information by Yan-heng LIU, Fei-peng LI, Xin SUN, Jian-qi ZHU

“…The topology modeling of the social network is propitious to understanding the transmission process of information and the topology characteristic of the real friendship network.Considering the directed characteristic of information spread,the dynamic process of information dissemination was simulated,and moreover,the weighted directed topology model in order to well emulate the topology structure of the social network was constructed.Simulation results show the degree and strength distribution as well as the correlation between degree and strength of the network generate by the topology model embody obvious power-law characteristic,and meanwhile,through analyzing the clustering coefficient,coreness and Gini coefficient of the network,the generated network has the characteristics of clustering,layer and heterogeneity which are shown in the real friendship network is verified.…”
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Social network model based on the transmission of information by Yan-heng LIU, Fei-peng LI, Xin SUN, Jian-qi ZHU

“…The topology modeling of the social network is propitious to understanding the transmission process of information and the topology characteristic of the real friendship network.Considering the directed characteristic of information spread,the dynamic process of information dissemination was simulated,and moreover,the weighted directed topology model in order to well emulate the topology structure of the social network was constructed.Simulation results show the degree and strength distribution as well as the correlation between degree and strength of the network generate by the topology model embody obvious power-law characteristic,and meanwhile,through analyzing the clustering coefficient,coreness and Gini coefficient of the network,the generated network has the characteristics of clustering,layer and heterogeneity which are shown in the real friendship network is verified.…”
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An Advanced Natural Language Processing Framework for Arabic Named Entity Recognition: A Novel Approach to Handling Morphological Richness and Nested Entities by Saleh Albahli

“…This paper introduces a novel Arabic NER framework that addresses these complexities through architectural innovations. The proposed model incorporates a Hybrid Feature Fusion Layer, which integrates external lexical features using a cross-attention mechanism and a Gated Lexical Unit (GLU) to filter noise, while a Compound Span Representation Layer employs Rotary Positional Encoding (RoPE) and Bidirectional GRUs to enhance the detection of complex entity structures. …”
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FRACTAL MODEL OF DAMAGE ACCUMULATION IN SOLID BODES by Alim. Abed Al-Zobaede, Yu. V. Chigareva

“…Fractal structures with self-similarity are an adequate model of the fracture process. The MacDonald correlation function describing the medium structure allows to present the self-similarity of structures within a certain range of scales.The paper reviews models of damage accumulation near an opening in a composite medium and at layer boundaries. …”
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