Numerical Simulation on Frost of Cryogenic Finned-Tube Vaporizer Based on Fractal Theory by Chen Shuping, Yao Shuting, Xie Fushou, Han Hongyin

“…Combined with frost formation and growth on the cryogenic surface obtained by experimental observations, the rationality of numerical simulation was verified from fractal dimension and frost layer density. The result shows that frost layer density decreases with the increase of thickness in the early frosting stage as initial frost dendrite constantly grows branch crystal, and the fractal dimension of frost layer on the cryogenic surface is larger than the fractal dimension of frost layer on the general cold surface. …”
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Edge intelligence-assisted routing protocol for Internet of vehicles via reinforcement learning by Bingyi LIU, Yuhao LIU, Weizhen HAN, Zhenchang XIA, Libing WU, Shengwu XIONG

“…To achieve a highly reliable and adaptive packet routing protocol in a complex urban Internet of vehicles, an end-edge-cloud edge intelligence architecture was proposed which consisted of an end user layer, an edge collaboration layer, and a cloud computing layer.Based on the proposed edge intelligence architecture, an packet routing protocol based on multi-intelligent reinforcement learning technologies was designed.The experimental results show that the proposed protocol could significantly improve the transmission delay and the packet reception rate in the interval of 29.65%～44.06% and 17.08%～25.38% compared to the state-of-the-art transmission mechanism for emergency data (TMED), intersection fog-based distributed routing protocol (IDR), and double deep Q-net based routing protocol (DRP).…”
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Modifying the Fluorescence of CdTe Quantum Dots by Silica-coated Gold Nanorods by Ning Zhou, Tao Liu, Dongsheng Li, Deren Yang

“…They were coated with a silica layer on the surface and CdTe QDs were connected to the surface of the silica layers. …”
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Anion Effect of Zinc Source on Chemically Deposited ZnS(O,OH) Films by K. Ernits, K. Muska, M. Danilson, J. Raudoja, T. Varema, O. Volobujeva, M. Altosaar

“…The study on the anion effect of different Zn sources—Zn(CH3COO)2, ZnCl2, ZnI2, Zn(NO3)2 and ZnSO4—on the chemical deposition of ZnS(O,OH) films revealed that the growth rate and composition of the ZnS(O,OH) layer depend on the instability constant (pK) value of the corresponding Zn-complex Zn(L)n in the chemical bath solution. …”
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A review of artificial intelligence applications in mobile communication networks from the perspective of the OSI-RM by ZHANG Jianwu, ZHANG Tianheng, ZHANG Qianhua, GUO Chunsheng, FU Jianfeng, ZHAN Ming

“…From the perspective of OSI-RM, the current applications of AI technologies across different layers of mobile communication networks were systematically reviewed, and the roles of AI in addressing complex issues in mobile communication networks were analyzed. …”
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An Interval Parameter Calculation Method of Asphalt Pavement Structure Design Based on Point Numerical Algorithm by Limin Tang, Xiuyan Zhao

“…However, determining the point value form of design parameters based on the statistical analysis theory cannot fully reflect the complex properties such as variability and uncertainty of parameters. …”
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Round and pleated blisters: interface delamination in thin film deposition by Wenxiang Wang, Shengyao Chen, Jiacong Cao, Xiaoding Wei, Zhaohe Dai

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Bacterial Community Structure in Soils With Fire‐Deposited Charcoal Under Rotational Shifting Cultivation of Upland Rice in Northern Thailand by Noppol Arunrat, Toungporn Uttarotai, Praeploy Kongsurakan, Sukanya Sereenonchai, Ryusuke Hatano

“…Shifts in Proteobacteria and Planctomycetota abundance were evident in the charcoal leaching and non‐charcoal layers. Network analysis indicated more complex bacterial interactions in the charcoal‐mixed soil layer, with reduced network complexity observed in the charcoal leaching layer and the layer without charcoal. …”
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HCANet: a micro expression recognition model based on hierarchical Transformer architecture by YANG Aonan, MO Hong, ZHAO Shili, OUYANG Yuqi

“…Subsequently, the aggregation layer concentrated on learning the inter-region interactions to extract global semantic facial features through a cross-layer attention mechanism. …”
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A Comprehensive Review on the Optimization of the Fused Deposition Modeling Process Parameter for Better Tensile Strength of PLA-Printed Parts by Tesfaye Mengesha Medibew

“…Fused Deposition Modeling (FDM) is a kind of Additive Manufacturing technology, which can produce complex parts by adding layer-by-layer mold automatically from 3D computer-aided design (CAD) data. …”
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Development of the fetal myocardium and changes in myocardial fibers orientation. by Biagio Castaldi, Marny Fedrigo, Daniela P Boso, Irene Cattapan, Elena De Filippi, Francesca M Susin, Paolo Peruzzo, Giulia Comunale, Paola Veronese, Ornella Milanesi, Annalisa Angelini, Giovanni Di Salvo

“…<h4>Background and aims</h4>The mature left ventricular myocardium is arranged in a complex three-dimensional network of fibers that form a counterclockwise helix in the endocardial layer and a clockwise helix in the epicardial layer. …”
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A Method of Constructing Robotics Service Platform for Assisting Handicapped or Elderly People by Zuozhong Yin, Dianpeng Wang, Jihong Liu

“…Secondly, based on VMware and Hadoop cluster technology, the architecture of a three-layer robot service platform was designed, which were universal interface layer, resource service layer, and application layer. …”
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Evidence classification method of chat text based on DSR and BGRU model by Yu ZHANG, Binglong LI, Xuejuan LI, Heyu ZHANG

“…It is always unlikely to efficiently identify and extract chat text evidence related to criminal events, due to the complex semantics such as “slang” in the chat content and the huge amount of chat text data generated by social software such as instant messaging.Based on this motivation, a chat text evidence classification model (DSR-BGRU) based on the DSR (dynamic semantic representation) model and the BGRU (bidirectional gated recurrent unit) model was proposed.The chat text data was pre-processed to preserve the characteristics of the criminal field.Then a multi-layer chat text feature extraction and classification model using the Keras framework was proposed.With the text matrix composed of vector representation of words in the DSR model as the input vector, the input layer of the DSR model featured the chat text from the semantic level.Then the hidden layer of the BGRU model extracted the context characteristics of the text composed of the word vectors.The softmax classification layer recognized and extracted the chat text evidence.The experimental results show that the proposed DSR-BGRU can more accurately identify and extract chat records compared with other models and methods for text classification, and it can also effectively extract the criminal text information from the chat information with the accuracy rate 92.06% and the F1 score 91.00%.…”
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High-pressure phases of van der Waals Weyl semimetal transition metal ditellurides by Hwiin Ju, Siwon Oh, Heejung Kim, Duk Hyun Lee, Choongjae Won, Suyong Jung, Hyeonsik Cheong, Jong Seok Lee

“…We also demonstrate an additional structural transition at about 10 GPa, possibly to a triclinic 1T″ structure, which has a significant influence on the electronic structure due to intra-layer distortion of atomic positions. Our findings on distinct evolutions of inter-layer and intra-layer structural parameters offer a generic understanding of the relationship between anisotropic bond strength in the van der Waals materials and pressure-dependent structural changes.…”
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Modeling and numerical simulation of Maxwell nanofluid flow with heat generation and convective heating: a combined Adomian decomposition method and Mohand transform by M. M. Khader, M. Adel, Mohammed Messaoudi

“…Abstract The current research models and analyzes the behavior of an incompressible Maxwell nanofluid flowing across a porous, stretching surface within a boundary layer. Similarity transformations are applied to simplify the complex governing equations, which take into account heat generation, viscous dissipation, and convective heating, resulting in a nonlinear system of ODEs. …”
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Data-driven cultural background fusion for environmental art image classification: Technical support of the dual Kernel squeeze and excitation network. by Chenchen Liu, Haoyue Guo

“…A novel Dual Kernel Squeeze and Excitation Network (DKSE-Net) model is proposed for the complex cultural background and diverse visual representation in environmental art images. …”
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Ultrastructural mitral valve abnormalities in infective endocarditis by R. A. Mukhamadiyarov, A. G. Kutikhin

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PRDAGE: a prescription recommendation framework for traditional Chinese medicine based on data augmentation and multi-graph embedding by Zhihua Wen, Yunchun Dong, Lihong Peng, Longxin Zhang, Junfeng Yan

“…The aim of this multi-layer embedding method is to capture and represent the semantic information of symptoms and herbs, as well as the complex relationships between them. …”
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Research progress in wire arc additive manufacturing of NiTi shape memory alloys by LI Zhonghan, LIU Gaofei, LI Shihan, WANG Xiebin, HAO Shijie

“…Wire arc additive manufacturing （WAAM）， with its layer-by-layer deposition characteristics， offers a novel solution for NiTi alloy fabrication. …”
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A Temporal Convolutional Network–Bidirectional Long Short-Term Memory (TCN-BiLSTM) Prediction Model for Temporal Faults in Industrial Equipment by Jinyin Bai, Wei Zhu, Shuhong Liu, Chenhao Ye, Peng Zheng, Xiangchen Wang

“…The BiLSTM layer further leverages its bidirectional learning mechanism to model the long-term dependencies in the data, enabling effective predictions of complex fault patterns. …”
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