Joint neural denoising and consolidation for portable handheld laser scan by T. Zhang, S. Filin

“…These characteristics challenge such applications as feature extraction and 3D modeling when processing the raw pointset. To date, point cloud denoising and consolidation (address of distribution and void regions) have been treated independently despite their complementary nature and their mutual dependence on the underlying surface representation. …”
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Sealing of Unconformity Structure and Hydrocarbon Accumulation in the Baikouquan Formation of the Mahu Sag by Zexin Wan, Menglin Zheng, Xiaolong Wang, Yiyao Bao, Zhiyuan An, Qilin Xiao, Yunqiao Chen

“…P/T unconformity structure provides good floor conditions for the Baikouquan Formation reservoir, further confirming its key role in the process of oil and gas accumulation and storage. (3) Based on the analysis of actual cases, the accumulation model of stratigraphic oil and gas reservoirs under the control of unconformity structure is summarized as cross-layer accumulation above the source, fault communication source reservoir, unconformity lateral transmission and distribution, and mudstone lateral docking. …”
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Long‐Term, High‐Resolution Permafrost Monitoring Reveals Coupled Energy Balance and Hydrogeologic Controls on Talik Dynamics Near Umiujaq (Nunavik, Québec, Canada) by Philippe Fortier, Nathan L. Young, Jean‐Michel Lemieux, Michelle A. Walvoord, Richard Fortier

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Retinoic Acid Receptor Gamma (RARγ) Promotes Cartilage Destruction through Positive Feedback Activation of NF-κB Pathway in Human Osteoarthritis by Yue-Wei Yu, Si-Yang Li, Lin-Jun Zhang, Qian-Liang Wang, Zhong-Guo Liu, Qing-Zhi Chen, Hong-Yu Song, Dong-Yan Shen, Jun Yan

“…Moreover, the SD rats OA model induced by monosodium iodoacetate indicated that CD437 (RARγ agonist) and TNF-α accelerated the OA progression, including more severe cartilage layer destruction, larger knee joint diameter, and higher serum ALP levels, while LY2955303 (RARγ inhibitor) showed the opposite result. …”
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MEFA-Net: Multilevel Feature Extraction and Fusion Attention Network for Infrared Small-Target Detection by Jingcui Ma, Nian Pan, Dengyu Yin, Di Wang, Jin Zhou

“…To address the issues of sparse feature loss for small targets during the down-sampling phase of the traditional U-Net network and the semantic gap in the feature fusion process, a multilevel feature extraction and fusion attention network (MEFA-Net) is designed. …”
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Fault-Tolerant Control of the Electro-Mechanical Compound Transmission System of Tracked Vehicles Based on the Anti-Windup PID Algorithm by Qingkun Xing, Ziao Zhang, Xueliang Li, Datong Qin, Zengxiong Peng

“…Firstly, an ECTS and the electromechanical coupling dynamics model of the tracked vehicle are established. Moreover, a double-layer anti-windup PID control for motors and an instantaneous optimal control strategy for the engine are proposed in the fault-free case. …”
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Sensitivity and optimization study on heat transfer enhancement of MHD hybrid nanofluid radiative transient flow past a spinning surface with quadratic Boussinesq approximation and... by Thirupathi Thumma, Surender Ontela, Rupalaksmi Dharanikota

“…The optimization process pinpoints the ideal conditions for maximizing heat transfer efficiency. …”
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Splitting the difference: Genetically-tunable mycelial films using natural genetic variations in schizophyllum commune by Viraj Whabi, Jianping Xu

“…In this study, this species was used as a model to explore the potential of leveraging natural genetic variation within species to develop fungal mycelial materials with diverse properties. …”
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Experimental analysis of recycled engine oil tribofilms synthesized at mild temperature and comparison of optimal conditions using ANN and RSM by Negasa Abdena Alemu, Ramesh Babu Nallamothu, Getachew Alemayehu Lakew

“…Artificial neural networks (ANN) and surface response methodology (RSM) were used to optimize the output of recycled oil with the range of 15W-40.The ANN model used three input layers, ten hidden layers, and one output layer (3–10–1), whereas the RSM used a Box-Behnken design to create design matrix. …”
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Volumetric osteoconchoplasty method by B. M. Zargaryan, S. D. Litvinov

“…After insertion into the created tunnel of the required size of the "spreader-implant" plate, treated with a thin layer of LTK glue, the shell is slightly pressed with a self-inflating latex-foam rubber swab introduced into the IT for 10–15 minutes. …”
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Energy transport in MHD Maxwell hybrid nanofluid flow over inclined stretching porous sheet with effects of chemical reaction, solar radiation and porous medium by Mdi Begum Jeelani, Amir Abbas

“…The novel type of model of hybrid nanofluid attracted a lot of the attention of researchers due to wide-ranging physical applications in the energy producing, industrial and engineering fields. …”
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Study of Microstructure and Properties of 316L with Selective Laser Melting Based on Multivariate Interaction Influence by Jianfeng Sun, Lu Shen, Weiqiang Wang, Zhu Liu, Huaming Chen, Jieli Duan

“…As the selective laser melting 316L parts are constrained by multiple performance indexes, the study involves multivariate interaction influenced on the forming parameters such as the angle with the xz plane, the angle with the xy plane, laser power, scan speed, powder thickness, and hatching space on the indexes like tensile strength, density, and surface roughness with linear regression equations based on multiobjective optimization to obtain the best process parameters. The study results of microstructure performance of the formed 316L parts show that the angle with the xz plane has significant effect on the experiment indexes, while the layer thickness has the greatest effect on the indexes. …”
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AUTOIMMUNE OOPHORITIS AND THEIR CORRECTION BY GLUCOCORTICOIDS by T. V. Tupitsyna, S. V. Logvinov, O. A. Tikhonovskaya, M. L. Dmitrieva

“…A comparison group (12 rats) were the animals with the model AO no course Ledger therapy. Controlintact rats (6 animals). …”
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MSU-Net: A Synthesized U-Net for Exploiting Multi-Scale Features in OCT Image Segmentation by Dejie Chen, Xiangping Chen, Hao Gu, Su Zhao, Hao Jiang

“…First, the backbone employs uniform-sized convolutional kernels to process feature maps across all channels within the same layer, resulting in homogeneous receptive fields and a single-scale bottleneck that impedes global contextual feature extraction. …”
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A framework for the simulation of individual glycan coordinates to analyze spatial relationships within the glycocalyx by Sarah Fritsche, Sarah Fritsche, Leonhard Möckl, Leonhard Möckl, Leonhard Möckl, Leonhard Möckl

“…The glycocalyx is a dense and dynamic layer of glycosylated species that covers every cell in the human body. …”
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Handling data sparsity via item metadata embedding into deep collaborative recommender system by Gopal Behera, Neeta Nain

“…These vectors are concatenated together and fed as input to the second stage of the model. The output of the model yields a partially observed rating. …”
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Wafer-scale uniformity improvement of Dolan-bridge Josephson junction by shadow evaporation bias correction by Daria A. Moskaleva, Nikita D. Korshakov, Dmitry O. Moskalev, Anastasiya A. Soloveva, Alexey R. Matanin, Elizaveta I. Malevannaya, Nikita S. Smirnov, Maksim I. Teleganov, Yuri V. Panfilov, Ilya A. Rodionov

“…We introduce a topology correction model for two-layer resist mask biasing at a wafer-scale, which takes into account an evaporation source geometry. …”
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Aspect controls on the spatial redistribution of snow water equivalence through the lateral flow of liquid water in a subalpine catchment by K. L. Mooney, K. L. Mooney, R. W. Webb

“…Additionally, changes in density can infer physical processes occurring within the snowpack, such as compaction, liquid water ponding, and lateral flow. …”
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Effect of laser shock peening on residual stress of 316L stainless steel laser metal deposition part by Peng Xu, Cong Chen, Hongxuan Sun, Yi Zhang

“…LMD experiments were conducted, and LSP was applied to LMD parts of different thicknesses. A 3D finite element model combining LMD and LSP processes was developed for 316L stainless steel using Abaqus. …”
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Confidence-Based Fusion of AC-LSTM and Kalman Filter for Accurate Space Target Trajectory Prediction by Caiyun Wang, Jirui Zhang, Jianing Wang, Yida Wu

“…This study proposes a confidence-based dual-model fusion framework that separately processes linear and nonlinear trajectory components to enhance prediction accuracy and robustness. …”
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