YOLOv8-OCHD: A Lightweight Wood Surface Defect Detection Method Based on Improved YOLOv8 by Zuxing Chen, Junjie Feng, Xueyan Zhu, Bin Wang

“…By enhancing the expression of deep features, the C2f_RVB module significantly improves the accuracy of detecting small target defects on wood surfaces. …”
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A Lightweight Model for Weed Detection Based on the Improved YOLOv8s Network in Maize Fields by Jinyong Huang, Xu Xia, Zhihua Diao, Xingyi Li, Suna Zhao, Jingcheng Zhang, Baohua Zhang, Guoqiang Li

“…Furthermore, Adaptive Feature Aggregation Module (AFAM) and Global Max Pooling were incorporated to augment the extraction of salient features in complex scenarios. …”
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Dual-Phase Severity Grading of Strawberry Angular Leaf Spot Based on Improved YOLOv11 and OpenCV by Yi-Xiao Xu, Xin-Hao Yu, Qing Yi, Qi-Yuan Zhang, Wen-Hao Su

“…The enhanced You Only Look Once version 11 (YOLOv11) architecture incorporated a Content-Aware ReAssembly of FEatures (CARAFE) module for improved feature upsampling and a squeeze-and-excitation (SE) attention mechanism for channel-wise feature recalibration, resulting in the YOLOv11-CARAFE-SE for the severity assessment of strawberry angular leaf spot. …”
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A novel approach to skin disease segmentation using a visual selective state spatial model with integrated spatial constraints by Yu Bai, Hai Zhou, Hongjie Zhu, Shimin Wen, Binbin Hu, Haotian Li, Huazhang Wang, Daji Ergu, Fangyao Liu

“…Our SSR-UNet model overcomes these challenges by efficiently balancing computational load and feature extraction capabilities. Additionally, we introduce a spatially-constrained loss function that mitigates gradient stability issues by considering the distance between label and prediction boundaries. …”
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MXene‐Integrated Responsive Hydrogel Microneedles for Oral Ulcers Healing by Chuanhui Song, Minhui Lu, Ning Li, Hongcheng Gu, Minli Li, Ling Lu, Yu Wang

“…Herein, we presented a novel MXene‐integrated responsive hydrogel microneedle delivering dexamethasone to promote the healing of oral ulceration. By loading MXene, the hydrogel microneedles enable NIR (Near Infrared)‐responsive release of the inner dexamethasone for inflammation control and tissue regeneration. …”
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Synthesis with control of DNA nanoflowers towards biomedical applications by Nsolo M. Maarifa, Fahim El-Kassim M. Issimail, Jian He, Xingyi Ma

“…However, some challenges must be addressed, such as the interaction between DNA and inorganic material and controlling the structural features like petals and DNA sequence. In this review, we discussed the designability of DNFs, we subsequently discuss the synthetic methods and controllable parameters. …”
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Machine Learning-Based Prediction of Fatigue Fracture Locations in 7075-T651 Aluminum Alloy Friction Stir Welded Joints by Guangming Mi, Guoqin Sun, Shuai Yang, Xiaodong Liu, Shujun Chen, Wei Kang

“…In this study, we investigate fatigue fracture location prediction in 7075-T651 aluminum alloy FSW joints by applying four machine learning methods—decision tree, logistic regression, a three-layer back-propagation artificial neural network (BP ANN), and a novel Quadratic Classification Neural Network (QCNN)—using maximum stress, stress amplitude, and stress ratio as input features. Evaluated on an experimental test set of eight loading conditions, the QCNN achieved the highest accuracy of 87.5%, outperforming BP ANN (75%), logistic regression (50%), and decision tree (37.5%). …”
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Thermomigration Microstructure and Properties of Ni Nanoparticle-Reinforced Sn58Bi Composite Solder/Cu Solder Joint by Yuchun Fan, Keke Zhang, Weiming Chen, Jinna Wu, Yonglei Wang

“…At 0.75 weight percent Ni nanoparticle content, the composite solder’s tensile strength is 59.7 MPa and its elongation is 54.6%, both of which are noticeably greater than those of the base solder. When the thermal loading time is 576 h, the shear strength of the composite solder joint is 25.5 MPa, which is 30.1% higher than that of the base solder joint. …”
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A Refined Model of Viscous Stress for Free Water in Concrete Considering the Characteristics of Pore Structure by Qianfeng Wang, Xiaofen Wang, Xinghua Chen, Jie Li, Jinsheng Lei

“…Abstract This study evaluates the mechanical effects of free water in wet-state concrete under dynamic loading, applying principles from the Stefan effect. …”
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Homogeneity Equation for the Effective Elastic Properties of Heterogenous Rocks Developed From Machine Learning by E. Maalouf, H. Kareem, H. Chebli

“…This approach enables the accurate calculation of an equation that links dimensionless geometrical and physical features of rocks to their equivalent Young's modulus and Poisson's ratio. …”
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A robust deep learning approach for segmenting cortical and trabecular bone from 3D high resolution µCT scans of mouse bone by Amine Lagzouli, Peter Pivonka, David M. L. Cooper, Vittorio Sansalone, Alice Othmani

“…This evaluation covered variations in resolutions, ages, mouse strains, drug treatments, surgical procedures, and mechanical loading. DBAHNet demonstrated excellent performance, achieving high accuracy, particularly in challenging scenarios with significantly altered bone morphology. …”
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VEGETABLE PEA BREEDING ON TECHNOLOGY by I. P. Kotlyar, V. A. Ushakov, I. M. Kaygorodova, E. P. Pronina

“…The main requirement of processing enterprises is full and timely loading of production lines with high-quality raw materials. …”
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NONLINEAR BEHAVIOR CALCULATION ALGORITHM FOR THIN-WALLED SYSTEMS by G. M. Murtazaliev, M. M. Payzulaev

“…To obtain the necessary information about their behavior under load, one should analyze all the characteristic features encountered at all stages of their loading - at the initial (initial) stage of their operation, taking into account one or more types of nonlinearities, find possible critical states and, depending on the type of stability loss, study the nature of the initial stage of postcritical deformation. …”
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Estimation of proximity of controls synthesized on basis of maximum principle and ADAR method by V. P. Lapshin, I. A. Turkin, V. V. Khristoforova

“…This being the case, the paper suggests an approach that brings together these two methods, which, in our opinion, will increase the efficiency of the synergistic synthesis method through adding some features of the synthesis methodology for optimal systems.Research Results. …”
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Deep learning-enhanced signal detection for communication systems. by Yang Liu, Peng Liu, Yu Shi, Xue Hao

“…Traditional communication signal detection heavily relies on manually designed features, making it difficult to fully characterize the essential characteristics of the signal, resulting in limited detection accuracy. …”
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Experiments and Computational Research of Biomass Pyrolysis in a Cylindrical Reactor by A. V. Mitrofanov, V. E. Mizonov, S. V. Vasilevich, M. V. Malko

“…The article features an experimental study of thermally thin biomass samples (beech wood particles 17×8×6 mm) pyrolysis in a laboratory scale batch reactor. …”
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Fatigue crack growth in additive manufactured products by A. Riemer, H. A. Richard, J.-P. Brüggemann, J.-N. Wesendahl

“…The iterative optimisation procedure was based on static and cyclic loading situations as well as displacements obtained by results from numerical analyses.…”
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Stress-strain state of a combined toroidal baromembrane apparatus by S. I. Lazarev, О. V. Lomakina, V. Е. Bulanov, I. V. Khorokhorina

“…Basic elements of the body of the combined membrane apparatus are considered, a design scheme is proposed, and a method for calculating the strength and rigidity of the main load-bearing element, the cover, is described.  Results. …”
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Numerical statistical analysis on self-organizing behavior of microfracturing events in rock failure by Houquan Zhang, Hao Shi, Yu Wu, Hai Pu

“…A new function in rock failure process analysis (RFPA 2D ) code was developed to capture the size and number of damage element groups in each loading step. The rock failure process evolving from the initiation, propagation, and nucleation of microcracks was visually simulated by RFPA 2D in this research. …”
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ON THE CALCULATION OF SECTIONS REINFORCED BY REPAIR COMPOUNDS by A. V. Kolleganov, N. A. Kolleganov, D. R. Mailyan, G. V. Nesvetaev

“…Deformation  diagrams are constructed for short-term loading of concrete of various classes, taking into account the possible change in its  deformation properties due to its structural features (e.g. fine- grained) and the presence of modifying additives (repair concrete) in its the composition.Results. …”
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