Enhanced tumor self-targeting of lemon-derived extracellular vesicles by embedding homotypic cancer cell membranes for efficient drug delivery by Lu-Yao Yang, Guo-Wu Liang, Bing-Jie Cai, Ke-Min Xu, Yu-Jie Zhao, Xiao-Ting Xie, Yu-Lin Zhang, Chao-Qing Li, Guo-Jun Zhang

“…LEVBD reveal wonderful homologous tumor targeting due to fusion of cancer cell membrane components with LEVs, and the encapsulation of hybrid vesicles facilitates the transcellular transport of drugs. …”
Get full text

Estimation of Wind Turbine Blade Icing Volume Based on Binocular Vision by Fangzheng Wei, Zhiyong Guo, Qiaoli Han, Wenkai Qi

“…The method employs a stereo matching algorithm that combines dynamic windows, multi-feature fusion, and reordering, integrating gradient, color, and other information to generate matching costs. …”
Get full text

Articulatory-to-Acoustic Conversion Using BiLSTM-CNN Word-Attention-Based Method by Guofeng Ren, Guicheng Shao, Jianmei Fu

“…The research results of this study can be used in the features fusion and speech recognition to improve the accuracy of recognition.…”
Get full text

Additive and subtractive manufacturing of layered titanium-matrix composites: interface behaviour and forming mechanisms by Rui Wang, Dongdong Gu, Hao Ye, Kaijie Lin, Han Zhang

“…To prepare the titanium-matrix composites (TMCs) reinforced by high-content ceramic, multi-material laser powder bed fusion (LPBF) technology was utilised to process layered TMCs. …”
Get full text

Explore human parsing modality for action recognition by Jinfu Liu, Runwei Ding, Yuhang Wen, Nan Dai, Fanyang Meng, Fang‐Lue Zhang, Shen Zhao, Mengyuan Liu

“…The two high‐level features will be effectively combined through a late fusion strategy for better action recognition. Extensive experiments on NTU RGB + D and NTU RGB + D 120 benchmarks consistently verify the effectiveness of our proposed EPP‐Net, which outperforms the existing action recognition methods. …”
Get full text

Using a YOLO Deep Learning Algorithm to Improve the Accuracy of 3D Object Detection by Autonomous Vehicles by Ramavhale Murendeni, Alfred Mwanza, Ibidun Christiana Obagbuwa

“…Key contributions include introducing a multi-task loss function that optimizes 2D and 3D predictions and integrating sensor fusion techniques that combine RGB camera data with LIDAR point clouds for improved depth estimation. …”
Get full text

Adaptive Variational Modal Decomposition–Dual Attention Mechanism Parallel Residual Network: A Tool Lifetime Prediction Method Based on Adaptive Noise Reduction by Jing Kang, Taiyong Wang, Yi Li, Ye Wei, Yaomin Zhang, Ying Tian

“…A parallel residual network tool prediction model (DAMResNet) was constructed to optimize the model’s weight allocation to different features, achieving multi-channel and multi-dimensional feature fusion. Finally, the noise-reduced signal was input into the DAMResNet model to accurately predict tool lifetime. …”
Get full text

A two-stage HDR reconstruction pipeline for extreme dark-light RGGB images by Yiyao Huang, Xiaobao Zhu, Fenglian Yuan, Jing Shi, U. Kintak, Jingfei Fu, Yiran Peng, Chenheng Deng

“…After removing under- and over-exposed frames, pseudo-HDR images are created through multi-frame fusion. Also, a comparative analysis is conducted based on a standard dataset, and the results show that the proposed approach performs better in creating well-exposed images and improves the Peak-Signal-to-Noise Ratio (PSNR) by 0.16 dB compared to the benchmark methods.…”
Get full text

Multimodal Autism Spectrum Disorder Method Using GCN With Dual Transformers by Tianming Song, Zhe Ren, Jian Zhang, Yawei Qu, Yingying Cui, Zhengda Liang

“…The second Transformer is employed to enhance the fusion of these temporal features with spatial features learned by the GCN, effectively combining both dimensions of the neuroimaging data. …”
Get full text

Unsupervised and Semisupervised Machine Learning Frameworks for Multiclass Tool Wear Recognition by Maryam Assafo, Peter Langendoerfer

“…The results showed which of the frameworks led to the best predictive performance under which data settings, and highlighted the significance of sensor fusion and discriminative feature representations in combating the unavailability and scarcity of labels, among other findings. …”
Get full text

A 20 m spatial resolution peatland extent map of Alaska by Mark J. Lara, Roger Michaelides, Duncan Anderson, Wenqu Chen, Emma C. Hall, Caroline Ludden, Aiden I. G. Schore, Umakant Mishra, Sarah N. Scott

“…Ground-data were used to train machine learning classifiers to detect peatlands using a fusion of Sentinel-1 (Dual-polarized Synthetic Aperture Radar), Sentinel-2 (Multi-Spectral Imager), and derivatives from the Arctic Digital Elevation Model (ArcticDEM), that were spatially constrained by a peatland suitability model. …”
Get full text

A Feature-Extraction-Based Lightweight Convolutional and Recurrent Neural Networks Adaptive Computing Model for Container Terminal Liner Handling Volume Forecasting by Bin Li, Yuqing He

“…Subsequently, a feature-extraction-based lightweight convolutional and recurrent neural network adaptive computing model (FEB-LCR-ACM) is presented initially to predict the LHV by the fusion of multiple deep learning algorithms and mechanisms, especially for the specific feature extraction package of tsfresh. …”
Get full text

Leveraging deep learning for robust EEG analysis in mental health monitoring by Zixiang Liu, Juan Zhao

“…Despite the potential of these approaches, they often fall short in capturing the intricate spatiotemporal relationships within EEG data, leading to lower classification accuracy and poor adaptability across various populations and mental health scenarios.MethodsTo overcome these limitations, we introduce the EEG Mind-Transformer, an innovative deep learning architecture composed of a Dynamic Temporal Graph Attention Mechanism (DT-GAM), a Hierarchical Graph Representation and Analysis (HGRA) module, and a Spatial-Temporal Fusion Module (STFM). The DT-GAM is designed to dynamically extract temporal dependencies within EEG data, while the HGRA models the brain's hierarchical structure to capture both localized and global interactions among different brain regions. …”
Get full text

Regulation of stress granule maturation and dynamics by poly(ADP-ribose) interaction with PARP13 by Shang-Jung Cheng, Temitope Gafaar, Jijin R. A. Kuttiyatveetil, Aleksandr Sverzhinsky, Carla Chen, Minghui Xu, Allison Lilley, John M. Pascal, Anthony K. L. Leung

“…Furthermore, this PAR-binding mutant diminishes condensate dynamics and impedes fusion. Overall, our study uncovers the important role of PAR-protein interactions in stress granule dynamics and maturation, mediated through PARP13.…”
Get full text

Interactive trajectory prediction for autonomous driving based on Transformer by R. Xu, J. Li, S. Zhang, L. Li, H. Li, G. Ren, X. Tang

“…The rationale underlying this approach lies in its seamless fusion of scene context modeling and multi-modal prediction within a neural network architecture. …”
Get full text

The antifungal peptide AnAFP from Aspergillus niger promotes nutrient mobilization through autophagic recycling during asexual development by Stephan Starke, Laura Velleman, Birgit Dobbert, Luis Seibert, Jordi Witte, Sascha Jung, Vera Meyer

“…Fluorescent analyses of a Tet-on driven AnAFP::eGFP fusion protein congruently unraveled that AnAFP localizes to cell walls and septa of A. niger. …”
Get full text

Modified coke breeze distribution in iron ore sintering - a novel technique of reducing energy consumption and improving quality by Pal J., Prasad D., Venugopalan T.

“…Therefore, the top part may have insufficient fusion and the bottom is excessively fused. Thus, sinter quality may become inhomogeneous and the coke breeze requirement becomes higher than the actual thermal requirement. …”
Get full text

Defect Diagnosis of Gear-Shaft Bearing System Based on the OWF-TSCNN Composed of Wavelet Time-Frequency Map and FFT Spectrum 1 by Peng Dai, JianPing Wang, Lulu Wu, ShuPing Yan, FengTao Wang, Linkai Niu

“…In this method, the vibration signals are collected using multiple sensors, the dual-tree complex wavelet and the optimal weighting factor (OWF) methods are used for the data layer fusion, and the preprocessing is realized through wavelet transform and FFT. …”
Get full text

LEAF-YOLO: Lightweight Edge-Real-Time Small Object Detection on Aerial Imagery by Van Quang Nghiem, Huy Hoang Nguyen, Minh Son Hoang

“…Using Lightweight-Efficient Aggregating Fusion along with other blocks and techniques, LEAF-YOLO enhances multiscale feature extraction while reducing complexity, targeting small object detection in dense and varied backgrounds. …”
Get full text

PCR Amplification and Transcription for Site-Specific Labeling of Large RNA Molecules by a Two-Unnatural-Base-Pair System by Michiko Kimoto, Rie Yamashige, Shigeyuki Yokoyama, Ichiro Hirao

“…To prepare Ds-containing DNA templates with long chains, the Ds-Px pair was utilized in a fusion PCR method, by which we demonstrated the synthesis of 282-bp DNA templates containing Ds at specific positions. …”
Get full text