Mesoscopic analysis and prediction of in-situ effect in FFF 3D printing CFRP/GFRP by Xiang Yu, Pai Peng, Tian-Yun Yao, Yu Zhao, Yong-Jun Zhou, Yuan Jing

“…The meso-structure indicates that, unlike conventional composite materials, the distinctive FFF 3D printing process diminishes the impact of adjacent layers on clustered plies in thin-layer structures. …”
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Residual channel attention based sample adaptation few-shot learning for hyperspectral image classification by Yuefeng Zhao, Jingqi Sun, Nannan Hu, Chengmin Zai, Yanwei Han

“…Furthermore, a new Random-based Feature Recalibration Module (RFRM) is proposed to reassign the feature weights via random matrix, which fully explore feature weight relationships to guide the sample adaptation process. Besides, we design a joint loss function with combining the FSL loss and domain adaptive loss for further optimization model. …”
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A Novel Method for Intelligent Fault Diagnosis of Bearing Based on Capsule Neural Network by Zhijian Wang, Likang Zheng, Wenhua Du, Wenan Cai, Jie Zhou, Jingtai Wang, Xiaofeng Han, Gaofeng He

“…Traditional neural networks tend to be more subjective when classifying fault time-frequency graphs, such as pooling layer, and ignore the location relationship of features. …”
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Automated Risk Prediction of Post-Stroke Adverse Mental Outcomes Using Deep Learning Methods and Sequential Data by Chien Wei Oei, Eddie Yin Kwee Ng, Matthew Hok Shan Ng, Yam Meng Chan, Vinithasree Subbhuraam, Lai Gwen Chan, U. Rajendra Acharya

“…The combination of using DL algorithms, such as multi-layer perceptron (MLP) and long short-term memory (LSTM), which can process complex patterns in the data, and the inclusion of new data types, such as sequential data, helped to improve model performance. …”
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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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A Two-Tier Genetic Algorithm for Real-Time Virtual–Physical Fusion in Unmanned Carrier Aircraft Scheduling by Jian Yin, Bo Sun, Yunsheng Fan, Liran Shen, Zhan Shi

“…Three key innovations are presented: (1) a two-tier genetic algorithm (GA)-based scheduling model is proposed to coordinate global planning and dynamic execution optimization for carrier-based aircraft operations; (2) a systematic constraint integration framework incorporating aircraft taxiing dynamics, deck spatial constraints, and safety clearance requirements into the scheduling system, significantly enhancing tactical feasibility compared to conventional approaches that oversimplify multidimensional operational rules; (3) an integrated virtual–physical simulation architecture merging virtual reality interaction with HIL verification, establishing a collaborative digital twin–physical device platform for immersive visualization of full-process operations and dynamic spatiotemporal evolution characterization. …”
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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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CSpredR: A Multi-Site mRNA Subcellular Localization Prediction Method Based on Fusion Encoding and Hybrid Neural Networks by Xiao Wang, Wenshuai Suo, Rong Wang

“…Subsequently, we utilize multi-scale convolutional neural networks and bidirectional long short-term memory networks to capture sequence features, respectively, and fuse the results as input for a multi-head attention mechanism model. The information from these heads is integrated into the node representations, and finally, the attention-processed data are fed into an MLP (Multi-Layer Perceptron) for prediction tasks. …”
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Seismic behavior of spun precast concrete pile in liquefiable reclaimed soil of Suburban Dhaka by Kh. Afia Farzana, Mehedi Ahmed Ansary, Khondaker Sakil Ahmed

“…A spun prestressed concrete (SPC) pile is a reliable alternative as it is usually constructed with high-strength concrete with more precision in the process of casting, curing, and monitoring. Considering the exact site soil properties of a reclaimed site, Jolshiri area of Dhaka, Finite Element Models (FEM) have been developed for predicting the actual response of SPC pile using PLAXIS 3D. …”
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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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Insight into the Impact of Electrolyte on Passivation of Lithium–Sulfur Cathodes by Walter Cistjakov, Johanna Hoppe, Jinkwan Jung, Fridolin Röder, Hee‐Tak Kim, Ulrike Krewer

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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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