Evading strength-ductility trade-off in a metastability engineered layered metallic composite by Roopam Jain, Ravi Sankar Haridas, Prithvi Awasthi, Abhijeet Dhal, Rajiv S. Mishra

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Edge Convolutional Networks for Style Change Detection in Arabic Multi-Authored Text by Abeer Saad Alsheddi, Mohamed El Bachir Menai

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Algorithms for calculation damage processes by Aleksandr Dmitrievich Nikitin, Nikolay G. Burago, Ilia S. Nikitin, Boris A. Stratula

“…The results of solving typical problems of destruction of solid deformable bodies for slow (quasistatic) and fast (dynamic) deformation processes are presented. Recommendations are given for modeling the processes of destruction and ensuring the reliability of numerical solutions.…”
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Influence of 3D printed structures on energy absorption ability of brittle polymers under dynamic cyclic loading by Mohit Sood, Chang-Mou Wu

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The influence of firn layer material properties on surface crevasse propagation in glaciers and ice shelves by T. Clayton, R. Duddu, R. Duddu, T. Hageman, E. Martínez-Pañeda, E. Martínez-Pañeda

“…Thus, our study shows that the firn layer can increase the vulnerability of ice shelves to fracture and calving, highlighting the importance of considering depth-dependent firn layer material properties in LEFM models for estimating crevasse penetration depths and predicting rift propagation.…”
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Small target detection algorithm based on the fusion attention mechanism and multi-layer convolution. by Xiujing Li, Haifei Zhang, Yiliu Hang, Hao Chen

“…Subsequently, we harnessed the advantages of both attention mechanisms-GAM (Global Attention Mechanism) and CloAttention (Contextualized Local and Global Attention)-to create a GACAttention module that extracts small target features from both global and local perspectives, thereby enriching the network's focus on small target feature information and further enhancing its feature processing capabilities. Finally, we incorporated an additional small target detection layer to capture feature information at a shallower level, thereby reducing the likelihood of missed detections and bolstering the detection capabilities for small targets. …”
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An approach for fault-related monitoring variables selection based on dual-layer correlation networks by Zhenjie Zhang, Xinjiu Chen, Xiaobin Xu, Yi Li, Pingzhi Hou, Zehui Zhang, Haohao Guo

“…Purpose – Fault-related monitoring variables selection is a process of obtaining a subset of variables from the original set, which is of great significance for reducing information redundancy and improving the performance of the fault diagnosis models. …”
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Enhancing Adversarial Transferability With Intermediate Layer Feature Attack on Synthetic Aperture Radar Images by Xuanshen Wan, Wei Liu, Chaoyang Niu, Wanjie Lu, Yuanli Li

“…A lightweight generator, TinyResNet, is introduced to quickly construct adversarial examples through a one-step mapping process. In addition, the transferability of these examples across different models is improved by eliminating the intermediate layer features of the model. …”
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The High Performance of Multi-Metal Layered Double Hydroxides (LDHs) in the Removal of Organic Dyes by Soumaya Talbi, Amal El Khanchaoui, Latifa Bouissane, Abderrafia Hafid, Mostafa Khouili, Souad Rabi, Abdellatif Essoumhi

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Ultrahigh concentration exfoliation and aqueous dispersion of few-layer graphene by excluded volume effect by Zhiyuan Xiong, Luyan Shen, Jin Long, Xiao Li, Ke Zhou, Gyeong Min Choi, Kangtai Ou, GuiYan Yang, Weichun Ma, Heon Sang Lee, Youyi Sun, Dan Li

“…To achieve this, we designed a sequential process involving edge oxidation, bubble expansion and mechanical shearing, through which graphite flakes were exfoliated into aqueous dispersions with ~94.5 wt.% yield of few-layer graphene, high concentration exceeding 100 mg mL-1, long-term stability over ~550 days, and large-scale wet processability. …”
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Local Back-Propagation for Forward-Forward Networks: Independent Unsupervised Layer-Wise Training by Taewook Hwang, Hyein Seo, Sangkeun Jung

“…Recent deep learning models, including GPT-4, have achieved remarkable performance using the back-propagation (BP) algorithm. …”
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Generation of thermal convection in the moss-snow layer on the coast of the Gulf of Grenfjord (West Svalbard) by P. V. Bogorodskiy, V. Yu. Kustov, V. V. Movchan, K. A. Ermokhina

“…This is one of the reasons why the processes of heat and mass transfer in the moss-snow layer above the ground in high latitudes are reproduced in a very simplified way, even in the most advanced models of the Earth system. …”
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Vehicle detection method based on multi-layer selective feature for UAV aerial images by Yinbao Ma, Yuyu Meng, Jiuyuan Huo

“…To address these issues, a lightweight vehicle detection model is developed based on UAV aerial imagery. In the backbone, a Receptive-Field Attention Convolution (RFAConv) module is introduced to retain detailed features during the downsampling process. …”
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Performance analysis of PHY layer for RIS-assisted wireless communication systems with retransmission protocols by Sheng Hao, Huyin Zhang

“…In the modeling process, we firstly provide an E2E (end to end) transmission model for the RIS assisted WLC system. …”
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Effect of biochar application on the mobility of the textile dye drimaren red in an alluvial soil layer by Josielly Braz da Silva, Severino Martins dos Santos Neto, Luan Alves Furtado, Antonio Celso Dantas Antonino, Artur Paiva Coutinho

“…Linear and Freundlich isotherm models consistently described the process under varying concentrations, and the Langmuir model did not show a valid physical significance.…”
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Synthesis of Zn/Al layered double hydroxides magnetic-nanoparticle for removal of humic acid by Yuan Bai, Rui Ma, Zongxian Jing, Xinwen Wan, Jingyan Tong, Weiting Huang, Jie Liu

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Optimization design of an acoustic cover layer for a cylindrical cavity based on porous materials by Bohan ZHANG, Jili RONG, Xiuyan CHENG

“…The design of this coating is based on the optimization of key parameters, including the thickness distribution and the arrangement of different layers. Various configurations were explored, and control groups were established to assess the improvements brought by the optimization process. …”
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Effect of planetary boundary layer evolution on new particle formation events over Cyprus by N. Deot, V. P. Kanawade, V. P. Kanawade, A. Papetta, R. Baalbaki, R. Baalbaki, M. Pikridas, F. Marenco, M. Kulmala, J. Sciare, K. Lehtipalo, K. Lehtipalo, T. Jokinen

“…<p>Atmospheric new particle formation (NPF) occurs ubiquitously in the atmosphere, but more often in the planetary boundary layer (PBL). However, particle formation and early growth are poorly understood processes in aerosol science, particularly over the Eastern Mediterranean and Middle East (EMME) region, which has been recognised as a global climate change hotspot. …”
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Early Warning of Abnormal Operating Modes via Feature Extraction from Cross-Section Frame at Discharge End for Sintering Process by Xinzhe Hao, Sheng Du, Xian Ma, Mengxin Zhao

“…Third, a Bayesian neural network is trained on both selected process variables and visual features extracted from the red fire layer to construct the early warning model. …”
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A numerical investigation into the influence of the slide burnishing process on the real surface roughness and residual stress profiles of AHSS by Jesús Ismael Jiménez-García, Gustavo Capilla-González, Antonio de Jesús Balvantín-García, J. Antonio Travieso-Rodriguez, Ismael Ruíz-López, Alberto Saldaña-Robles

“…Finite element models of the burnishing process for galvanized Advanced High-Strength Steels (AHSS) sheets were developed. …”
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