In Situ Frost-Heaving Characteristics of Shallow Layer of Soil Slopes in Intermittently Frozen Region Based on PFC3D by Yunbin Ke, Yun Que, Yuanshuai Fu, Zhenliang Jiang, Said Easa, Yanyu Chen

“…The in situ frost-heaving (FH) process and characteristics of the shallow layer of a residual soil slope in the intermittently frozen zone were simulated by a modified three-dimensional particle flow code (PFC3D) model, of which the mesoscopic parameters of soil and ice particles were calibrated through the indoor experiments. …”
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Classification of periodontitis stage and grade using natural language processing techniques. by Nazila Ameli, Tahereh Firoozi, Monica Gibson, Hollis Lai

“…After data preprocessing, we added a classification layer on top of the pre-trained BERT model to classify the clinical notes into their corresponding stage and grades. …”
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Protocol-Agnostic and Packet-Based Intrusion Detection Using a Multi-Layer Deep-Learning Architecture at the Network Edge by Rodolphe Picot, Felipe Gohring de Magalhaes, Ahmad Shahnejat Bushehri, Maroua Ben Atti, Gabriela Nicolescu, Alejandro Quintero

“…This paper presents a novel approach to ID in network traffic within edge computing environments using a Neural Network (NN) model. The proposed model is designed to align with the layered structure of network packets and has been trained and evaluated on the widely used CIC-IDS2017 cybersecurity dataset. …”
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Brain age prediction from MRI images based on a convolutional neural network with MRMR feature selection layer by Mustafa Hatem Al Ghariri, Seyed Omid Shahdi

“…The system employs a regression layer as the final stage to predict brain age by utilizing the selected characteristics. …”
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Enhancing the efficiency of methylammonium silicon iodide-based perovskite solar cells: Optimization of charge transport layers and device parameters by Jabir Hakami

“…In the optimization process included the selection and tuning of the electron transport layer (ETL) and hole transport layer (HTL), optimization of peroveskiter layer thickness, accepter and donor doping concentration as well as defect density, resistance (shunt and series), back electrode materials, and the impact of envirment temperature. …”
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Boundary layer formation over a stretchable cylinder in a viscoelastic fluid with partial slip and viscous dissipation effects by Mhamed Benaissa, M.Y. Rafiq, H. Shahzad, Hafedh Mahmoud Zayani, Nidhal Ben Khedher

“…This study investigates the boundary layer flow of an electrically conducting Jeffrey fluid over a stretching cylinder. …”
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Biodegradable Double-Layer Hydrogels with Sequential Drug Release for Multi-Phase Collaborative Regulation in Scar-Free Wound Healing by Xinyu Zhang, Qianhe Zu, Chunlin Deng, Xin Gao, Hongxu Liu, Yi Jin, Xinjian Yang, Enjun Wang

“…In a rat model of full-thickness skin defect, treatment with a double-layer hydrogel drug delivery system accelerated the wound closure, improved scar quality, and promoted the formation of hair follicles. …”
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A Flow Shop Scheduling Method Based on Dual BP Neural Networks with Multi-Layer Topology Feature Parameters by Hui Mu, Zinuo Wang, Jiaqi Chen, Guoqiang Zhang, Shaocun Wang, Fuqiang Zhang

“…Based on the process logic relationships between intra-layer and inter-layer elements, an operation task–logistics–resource supernetwork model is established. …”
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The study of neon retention and release behaviour from Be layers deposited under distinct temperature, pressure and ion energy conditions by P. Dinca, C. Staicu, B. Butoi, B.G. Solomonea, A. Anghel, O.G. Pompilian, G. Bulai, V. Tiron

“…Metallic Be crystalline phase is observed for layers deposited at 473 K and 573 K, while, for the lowest substrate temperature (340 K), the structure of the Be-Ne layers was found to be amorphous, regardless of the working gas pressure and/or ion energy used during the deposition process. …”
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Assessment of Surface Roughness of Non-Metallic Materials during Laser Processing by V. A. Alekseev, A. V. Usoltseva, V. P. Usoltsev, S. I. Yuran

“…Data on the depth of ablation for wood, bone, leather, plexiglass are presented, graphs of the correlation between the amount of surface micro unevenness and the density of materials, between the amount of surface micro-roughness and the modulus of elasticity of materials, the correlation coefficient between the amount of surface micro unevenness and the ignition temperature of organic materials. The obtained models make it possible to implement the proposed principle of laser processing of non-metallic materials, which consists in measuring the modulus of elasticity of the surface of the material and, based on the measurements obtained, control the modes of laser processing of products. …”
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A Conceptual Framework for a Latest Information-Maintaining Method Using Retrieval-Augmented Generation and a Large Language Model in Smart Manufacturing: Theoretical Approach and... by Hangseo Choi, Jongpil Jeong

“…The proposed framework design uses a data stream processing layer, a data integration layer, and a continuous learning layer as core components; in particular, the knowledge integration layer provides a mechanism for the efficient processing of real-time data and continuous learning. …”
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Adrenergic Modulation of Cortical Gain and Sensory Processing in the Mouse Visual Cortex by Ricardo Medina-Coss y León, Elí Lezama, Inmaculada Márquez, Mario Treviño

“…<b>Methods:</b> We performed in vivo local field potential (LFP) recordings from layers 2/3 and 4 of V1 in sedated mice to assess the impact of visual noise and systemic administration of atomoxetine, a NE reuptake inhibitor, on cortical signal processing. …”
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Enhancing low‐light images with lightweight fused fixed‐directional filters network by Yang Li

“…The feature maps processed by each branch are merged through concatenation operations and then passed through convolutional layers to output the enhanced image. …”
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Predicting the high-strain-rate deformation behavior and constructing processing maps of 304L stainless steel through machine learning and deep learning by M. Ghaffari Farid, H.R. Abedi, R. Ghasempour, A. Taylor, S. Khoddam, P.D. Hodgson

“…Furthermore, the random forest model was used to construct processing maps, identifying safe and unsafe processing zones.…”
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Path Planning for Rapid DEDAM Processing Subject to Interpass Temperature Constraints by Glenn W. Hatala, Edward W. Reutzel, Qian Wang

“…This study aims to develop an optimized tool path that ensures interpass temperature compliance and reduces overall deposition time relative to the conventional sequential deposition path during the DED process. To evaluate this, a compact analytic thermal model is used to predict the thermal history during laser-based directed energy deposition (DED-LB/M) hot wire (lateral feeding) of ER100S-G, a welding wire equivalent to high yield steel. …”
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Study on infrasonic leakage monitoring and signal processing for product oil pipeline by Yuanbo YIN, Yuxing LI, Wen YANG, Shu LU, Chen ZHANG, Cuiwei LIU, Kai YANG, Wuchang WANG

“…Methods Based on the basic principle of infrasonic monitoring, an experimental setup for liquid pipeline leakage monitoring was independently constructed, aimed to analyze the characteristics of signals acquired by infrasonic sensors across different leak hole sizes, pipe pressures, and distances from these sensors to the leak points. The signal processing effects of wavelet transforms at 1–9 layers on the db and sym wavelet bases were analyzed. …”
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Leveraging Image Analysis and Deep Convolutional Neural Networks for Cutting-Edge Malware Detection and Mitigation by Mohammad Mahmood Otoom, Ahmad Mahmoud Etoom

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A prediction model for the mechanical properties of SUS316 stainless steel ultrathin strip driven by multimodal data mixing by Zhenhua Wang, Pengzhan Wang, Yunfei Liu, Yuanming Liu, Tao Wang

“…The results show that the multimodal data model fused with the ResNet and MLP after adding the CBAM using both rolling process data and four types of microstructure image data as model inputs has the most accurate prediction results. …”
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The Two Arctic Wintertime Boundary Layer States: Disentangling the Role of Cloud and Wind Regimes in Reanalysis and Observations During MOSAiC by Sandro Dahlke, Annette Rinke, Matthew D. Shupe, Christopher J. Cox

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Mathematical approaches for track analysis and process optimization in additive manufacturing by Mahdi Alishavandi, Rahmi Ünal, Metin Uymaz Salamci

“…Abstract Additive manufacturing demands precise control of track formation and process parameters. Here we show a unified mathematical framework that links key variables to track geometry: we derive analytical expressions for solid and liquid contact angles, introduce dimensionless wetting shape factors to compute segment area and volume, and develop quadratic models relating powder layer thickness to track width and height. …”
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