Radar-Based Hand Gesture Recognition With Feature Fusion Using Robust CNN-LSTM and Attention Architecture by Irshad Khan, Young-Woo Kwon

“…Our processing pipeline integrates feature extraction, LSTM-attention blocks, and dense layers for final classification. …”
Get full text

River floating object detection with transformer model in real time by Chong Zhang, Jie Yue, Jianglong Fu, Shouluan Wu

“…The enhancement of the RepBlock with Conv3XCBlock, along with the integration of a parameter-free attention mechanism within the convolutional layers, underscores our commitment to efficiency, ensuring that the model prioritizes valuable information while suppressing redundancy. …”
Get full text

Microenvironment engineering by targeted delivery of Ag nanoparticles for boosting electrocatalytic CO2 reduction reaction by Ting Xu, Hao Yang, Tianrui Lu, Rui Zhong, Jing-Jing Lv, Shaojun Zhu, Mingming Zhang, Zheng-Jun Wang, Yifei Yuan, Jun Li, Jichang Wang, Huile Jin, Shuang Pan, Xin Wang, Tao Cheng, Shun Wang

“…Herein, to boost the performance of eCO2RR, a unique synthetic method that deploys the in situ reduction of precoated precursors is developed to produce activated Ag nanoparticles (NPs) within the gas diffusion layer (GDL), where the thus-obtained Ag NPs-Skeleton can block direct contact between the active Ag sites and electrolyte. …”
Get full text

Technology and Security Analysis of Cryptocurrency Based on Blockchain by Chao Yu, Wenke Yang, Feiyu Xie, Jianmin He

“…Moreover, PHANTOM identifies evil blocks by employing block connectivity analysis and ensures its security. …”
Get full text

Performance evaluation of different building envelopes integrated with phase change materials in tropical climates by Rolains Golchimard Elenga, Li Zhu, Steivan Defilla

“…Two different PCM technologies (InfiniteRPCM and BiocPCM) are applied to four wall types (brick, concrete block, cast concrete, and earth), and their parametric models are developed in EnergyPlus to optimise the melting temperature, thickness, and location of each PCM layer simultaneously. …”
Get full text

Electromyography-Based Gesture Recognition With Explainable AI (XAI): Hierarchical Feature Extraction for Enhanced Spatial-Temporal Dynamics by Jungpil Shin, Abu Saleh Musa Miah, Sota Konnai, Shu Hoshitaka, Pankoo Kim

“…The second branch, incorporating a 1D Convolutional layer, separable CNN, and Squeeze-and-Excitation (SE) block, efficiently extracts spatial-temporal features while emphasizing critical feature channels, enhancing feature relevance. …”
Get full text

Synthesis of diethanolamine-based amino acid derivatives with symmetric and asymmetric radicals in their hydrophobic domain and potential antimicrobial activity by M. D. Korotkin, S. M. Filatova, Z. G. Denieva, U. A. Budanova, Y. L. Sebyakin

“…The hydrophilic blocks of these compounds included residues of amino acids such as glycine, β-alanine, L-ornithine, and L-lysine.Conclusions. …”
Get full text

Manifestation of agronomically valuable traits in the progeny of a sorghum mutant carrying the genetic construct for RNA silencing of the γ-kafirin gene by L. A. Elkonin, N. V. Borisenko, T. E. Pylaev, O. A. Kenzhegulov, S. Kh. Sarsenova, N. Yu. Selivanov, V. M. Panin

“…The mutant lines were grown in experimental plots in three randomized blocks. The studied lines were characterized by improved digestibility of kafirins, a modified type of endosperm, completely or partially devoid of the vitreous layer, an increased percentage of lysine (by 75 %), reduced plant height, peduncle length, 1000-grains weight, and grain yield from the panicle. …”
Get full text

Controlled Stratification and Assembly of Cellulose Nanocrystals in Polymeric Films Toward Optically Active Coatings by Farid Khelifa, Heike M. A. Ehmann, Abderrahman Lamaoui, Mathieu Surin, Jenifer Rubio‐Magnieto, Philippe Dubois, Youssef Habibi

“…Notably, the stratification does not disrupt the organization of the underlying layers. The films exhibit strong selective reflections with uniform and intense colors, dependent on the number of stratified layers. …”
Get full text

Seismic fault identification method based on CBAM-TransUNet by Xin WANG, Wei ZHANG, Tongjun CHEN, Ao ZHANG, Dang ZHAO

“…TransUNet seismic fault identification method to identify 2D seismic fault images. Firstly, the CBAM-Block attention module is integrated into the TransUNet network, and the module is added into the CNN tomography encoder part and the 3-layer jump connection part connecting the tomography encoder and the tomography decoder, respectively, to enhance the recognition ability of the seismic tomography image from two dimensions, namely, the channel and the space; secondly, the loss function optimised jointly by the Dice loss function and the cross-entropy loss function is selected to make the segmentation of the tomography image more accurate. function and cross-entropy loss function to make the fault image segmentation more accurate, and the DICE and IOU values obtained by the CBAM-TransUNet fault identification network on the synthetic seismic dataset are increased to 0.84 and 0.75, respectively, and the experimental results show that the continuity of the fault identification is stronger, which is obviously superior to other classical segmentation methods; finally, the constructed model is used to interpret the faults on the real seismic dataset of the F3 block of the North Sea, off the coast of the Netherlands. …”
Get full text

Optimal Features Driven Attention Network With Medium-Scale Benchmark for Wheat Diseases Recognition by Muhammad Islam, Mohammed Aloraini, Shabana Habib, Meshari D. Alanazi, Ishrat Khan, Aqib Khan

“…However, the literature relied on inadequate feature selection acquired from computationally expensive backbones followed by shallow layered networks. …”
Get full text

Water stress reduces cellulose deposition in the cell wall and increases wax content, resulting in decreased fiber quality by Yongchao Han, Yi Yang, Han Luo, Jinhui Cui, Bifu Kuang, Xinyu Zhang, Jie Sun, Jian Wei Xu, Feng Liu

“…Thus, studying the interaction between fiber cuticular wax and quality is crucial for understanding plant drought tolerance and breeding superior drought-resistant cotton varieties.MethodsThis experiment was designed as a randomized block design. Two cotton cultivars, Xincaimian7 (XC7, with high cuticular wax) and Shidamian217 (SD217, with low cuticular wax), were selected as materials. …”
Get full text

<i>DSW-YOLO</i>-Based Green Pepper Detection Method Under Complex Environments by Yukuan Han, Gaifeng Ren, Jiarui Zhang, Yuxin Du, Guoqiang Bao, Lijun Cheng, Hongwen Yan

“…After comparing mainstream lightweight models (<i>YOLOv5n</i>, <i>YOLOv6n</i>, <i>YOLOv8n</i>, <i>YOLOv9t</i> and <i>YOLOv10n</i>), <i>YOLOv10n</i> with the best performance was selected as the baseline. The <i>DWRR</i> block was then designed and integrated with the <i>C2f</i> module to form <i>C2f</i>-<i>DWRR</i>, replacing the original <i>C2f</i> blocks in the backbone. …”
Get full text

DRGNet: Enhanced VVC Reconstructed Frames Using Dual-Path Residual Gating for High-Resolution Video by Zezhen Gai, Tanni Das, Kiho Choi

“…The proposed method is built upon a high-resolution dual-path residual gating system, which integrates deep features from different convolutional layers and introduces convolutional blocks equipped with gating mechanisms. …”
Get full text

Heterosynaptic Regulation of α2A-Adrenoceptors on Glutamate/GABA Release in the Prefrontal Cortex of Rats by Yaru Wei, Yuhan Jiao, Xiaoting He, Xiaodong Tao, Baoming Li, Xuehan Zhang

“…Following the application of the PKA inhibitor PKI_5–24 to block postsynaptic α2A-AR function, guanfacine still significantly decreased the frequency (not the amplitude) of miniature excitatory postsynaptic currents (mEPSCs) and miniature inhibitory postsynaptic currents (mIPSCs) in layer 5–6 pyramidal neurons. …”
Get full text

Passive cooling of greenhouses in extreme climates through spectral control film by Yanpei Tian, Yue Lei, Sicheng Zeng, Yue He, Chi Feng, Qiang Li, Rebekah Waller, Qiaoqiang Gan

“…The ground layer is a biodegradable cellulose mulch with a solar reflectance of 0.93 and a high mid-infrared emittance of 0.95, facilitating sunlight redistribution and efficient radiative cooling. …”
Get full text

Semantic Reasoning Using Standard Attention-Based Models: An Application to Chronic Disease Literature by Yalbi Itzel Balderas-Martínez, José Armando Sánchez-Rojas, Arturo Téllez-Velázquez, Flavio Juárez Martínez, Raúl Cruz-Barbosa, Enrique Guzmán-Ramírez, Iván García-Pacheco, Ignacio Arroyo-Fernández

“…Encoder–decoder GRU, LSTM, and Transformer models (1–2 blocks) were trained to predict the object phrase given the subject + predicate. …”
Get full text

Physical and mechanical properties of weathered sandstone rock-like materials under freeze-thaw cycles by Zhang Zhen, Wang Qingzhi, Zhang Kui, Fang Jianhong

“…Block stone structural layers are commonly utilized in roadbed projects within permafrost areas. …”
Get full text

A Latent Multi-Scale Residual Transformer Approach for Cross-Modal Medical Image Synthesis by Xinmiao Zhu, Yang Li

“…The generator of LMRT-NET comprises an encoder-decoder architecture that enhances performance and lowers computational expenses through the use of multi-scale dynamic aggregation residual ViT (DART) blocks in the latent feature space. This module consists of two layers of residual convolutional blocks and transformer blocks of different scales, where the transformer blocks assist the convolutional blocks in capturing contextual features, and lower-level blocks support higher-level blocks in learning high-dimensional global information. …”
Get full text

Adaptive Spectral Correlation Learning Neural Network for Hyperspectral Image Classification by Wei-Ye Wang, Yang-Jun Deng, Yuan-Ping Xu, Ben-Jun Guo, Chao-Long Zhang, Heng-Chao Li

“…Taking advantage of the group convolutional and ConvLSTM3D layers, a new adaptive spectral correlation learning block (ASBlock) is designed as a basic network unit to construct the backbone of a spatial–spectral feature extraction model for learning the spectral information, extracting the spectral-enhanced deep spatial–spectral features. …”
Get full text