Charting the spatial transcriptome of the human cerebral cortex at single-cell resolution by Songren Wei, Meng Luo, Pingping Wang, Rui Chen, Xiyun Jin, Chang Xu, Chenyang Li, Xiaoyu Lin, Zhaochun Xu, Hongxin Liu, Rui Cheng, Wenyi Yang, Yideng Cai, Guangfu Xue, Peng Huang, Zhigang Liu, Haoxiu Sun, Jiangping Xu, Qinghua Jiang

“…It also deciphers transcriptomic differences and cellular composition in layer 4 and the stable subplate (layer 6b) across regions. …”
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Altered seasonal sensitivity of net ecosystem exchange to controls driven by nutrient balances in a semi-arid savanna by L. Nadolski, L. Nadolski, T. S. El-Madany, J. Nelson, A. Carrara, G. Moreno, R. Nair, Y. Luo, A. Hildebrandt, A. Hildebrandt, V. Rolo, M. Reichstein, S.-C. Lee

“…Semi-arid savannas with different vegetation compositions have complex carbon flux dynamics, and their responses to environmental change are not yet well understood. …”
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Classification of SERS spectra for agrochemical detection using a neural network with engineered features by Mateo Frausto-Avila, Monserrat Ochoa-Elias, Jose Pablo Manriquez-Amavizca, María del Carmen González-López, Gonzalo Ramírez-García, Mario Alan Quiroz-Juárez

“…The model utilizes a compact two-layer architecture, with five Leaky ReLU neurons in the hidden layer and four softmax neurons in the output layer. …”
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Numerical Simulation of the Impact of Oxygen Enrichment Technology on Fuel Combustion and CO Emissions During Sintering by Zhen LI, Zhengjian LIU, Jianliang ZHANG, Yaozu WANG

“…However, the influence of oxygen concentration on fuel combustion behavior during sintering is more complex. Internal fuel combustion in the sintering bed is simultaneously affected by heat transfer and oxygen concentration within the material layer. …”
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Numerical investigation on the transverse jet into a supersonic crossflow with different pressure ratios by Yanfeng Xiao, Huanhao Zhang, Zhihua Chen, Hui Zhang, Chun Zheng

“…The jet can be applied to the yaw control of a projectile, however, the complex interaction of the jet with the supersonic mainstream makes the flow field complex and yaw force unpredictable. …”
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Drifting long-lived. To the 50th anniversary of the opening of the “North Pole -22” station by V. V. Lukin

“…For the first time in the practice of the drifting NP/SP stations, oblique sounding of the ionosphere, observations of fine thermohaline structure of waters of the active layer of the Arctic Ocean were carried out. Geographical coordinates of the station drift were determined using Soviet satellite navigation systems; a complex for recording satellite images of the ice cover was deployed; investigations of the arctic ecosystems were made. …”
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YOLOv5-DTW: Gesture recognition based on YOLOv5 and dynamic time warping for digital media design by Lu Zhao, Jing Yu

“…In the recognition stage, firstly, the background and sensor thermal noise are used to enhance the classification data set, and the background optimization preprocessing algorithm is designed to improve the adaptability of the model to the complex background. VGG-16 is then used as a prototype of the recognition network, adding a normalization layer and replacing the activation function to accelerate convergence and prevent over-fitting. …”
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Optical flow estimation based on global cross information and dynamic encoder–dynamic decoder by Haoxin Guo, Yifan Wang, Xiaobo Guo

“…To solve the problem that the lack of a global perspective leads to local misestimation and overall structural dislocation when optical flow estimates large-scale motion and complex scenes, this paper proposes an optical flow estimation based on global cross information and dynamic encoder–dynamic decoder. …”
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ResM-FusionNet for efficient landslide detection algorithm with a hybrid architecture by Xuqing Ren, Xu Wu, Donghao Zhai, Xiangpeng Wang, Ningbo He, Mehreen Tarif

“…These findings indicate that the proposed method not only provides robust and accurate landslide detection but also enhances segmentation performance in complex terrains.…”
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HP-YOLO: A Lightweight Real-Time Human Pose Estimation Method by Haiyan Tu, Zhengkun Qiu, Kang Yang, Xiaoyue Tan, Xiujuan Zheng

“…Our method significantly enhances the real-time performance and efficiency of human pose estimation while maintaining high accuracy, offering an optimal solution for applications in complex environments.…”
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A Dynamic Interference Detection Method of Underwater Scenes Based on Deep Learning and Attention Mechanism by Shuo Shang, Jianrong Cao, Yuanchang Wang, Ming Wang, Qianchuan Zhao, Yuanyuan Song, He Gao

“…This algorithm first improves the feature extraction layer of the YOLOv8 network, improves the convolutional network structure of Bottleneck, reduces the amount of calculation and improves detection accuracy. …”
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Comparative characteristics of the well-healing xerogel effect based on the neutral hydrozol of titanium dioxide for burner therapy by I. P. Dudanov, V. V. Vinogradov, V. V. Сhrishtop, V. G. Nikonorova

“…The animals were divided into four groups: Four groups: a control group, (10 rats) in which no drugs were applied to the burn surface; 2 – the group of the comparison preparation, 10 males to whom after the modeling of the burn on the wound surface was applied daily the preparation of comparison argosulfan 3 – experimental group № 1, included 10 males to whom after the modeling of the burn on the wound surface was applied daily the xerogel, in a dose of 0.1 ml/100 g of animal body weight, 4 – experimental group № 2, included 10 males, who after modeling the pathology were daily copied on the wound surface, in a dose of 0.2 ml/100 g of animal body weight. Results. The complex of morphofunctional changes in experimental groups included changes in the epidermis – restoration of a more complete epidermal layer with skin appendages. …”
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DAM-Faster RCNN: few-shot defect detection method for wood based on dual attention mechanism by Xingyu Tong, Zhihong Liang, Mingming Qin, Fangrong Liu, Jiayu Yang, Hengjiang Xiao, Wei Dai

“…Abstract In wood defect detection, factors such as few-shot sample scarcity, diverse defect types, and complex background interference severely limit the model’s recognition accuracy and generalization ability. …”
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Improved Aerial Surface Floating Object Detection and Classification Recognition Algorithm Based on YOLOv8n by Lili Song, Haixin Deng, Jianfeng Han, Xiongwei Gao

“…The water surface environment is highly complex, and floating objects in aerial images often occupy a minimal proportion, leading to significantly reduced feature representation. …”
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Accurate Arrhythmia Classification with Multi-Branch, Multi-Head Attention Temporal Convolutional Networks by Suzhao Bi, Rongjian Lu, Qiang Xu, Peiwen Zhang

“…Electrocardiogram (ECG) signals contain complex and diverse features, serving as a crucial basis for arrhythmia diagnosis. …”
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ECG Signal Classification Using Interpretable KAN: Towards Predictive Diagnosis of Arrhythmias by Hongzhen Cui, Shenhui Ning, Shichao Wang, Wei Zhang, Yunfeng Peng

“…In addition, experimental results indicate that compared to the traditional multi-layer perceptron (MLP), the KAN demonstrates higher classification accuracy and better fitting stability and adaptability to complex data scenarios. …”
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A lightweight weed detection model for cotton fields based on an improved YOLOv8n by Jun Wang, Zhengyuan Qi, Yanlong Wang, Yanyang Liu

“…Secondly, the Bidirectional Feature Pyramid Network (BiFPN) is introduced to enhance the feature fusion layer, further optimizing the model’s ability to recognize weed features in complex backgrounds. …”
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THE EVALUATION SYSTEM OF DESIGN SOLUTIONS FOR RESIDENTIAL PROPERTY ON THE PRE-INVESTMENT STAGE THROUGH NEURAL NETWORK TECHNOLOGY by G. D. Kostsikava, G. V. Zemliakov

“…They will evaluate and will compare several options for future objects by the complex. This requires not only time, but considerable financial costs. …”
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Insight mechanism of ANN model for denitrification in spouted bed bioreactor by Keshava Joshi, Lokeshwari Navalgund, Nabisab Mujawar Mubarak, Vinayaka B. Shet

“…In this work, a feed-forward backpropagation neural network with three layers was constructed, consisting of three input neurons, nine neurons in the hidden layer, and one output neuron. …”
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A Dynamic Branch Automatic Modulation Recognition Method for Heterogeneous Data-Driven by Yecai Guo, Mengjie Wang, Meiyu Liang

“…To address insufficient feature complementarity mining and limited recognition accuracy in end-to-end deep learning models under complex channel environments, this paper proposes a dynamic branch automatic modulation recognition method driven by heterogeneous data. …”
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