Dormancy‐to‐death transition in yeast spores occurs due to gradual loss of gene‐expressing ability by Théo Maire, Tim Allertz, Max A Betjes, Hyun Youk

“…Decreasing amounts of molecules required for gene expression—including RNA polymerases—decreases gene‐expressing ability which then decreases chances of germinating. …”
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DNAE-GAN: Noise-free acoustic signal generator by integrating autoencoder and generative adversarial network by Ping-Huan Kuo, Ssu-Ting Lin, Jun Hu

“…In the future, this method can be applied in robots and voice generation applications to increase the humanistic language expression ability of robots and enable robots to demonstrate more humanistic and natural speaking performance.…”
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Computer Multimedia Art Pattern Creation Based on P-Filling Algorithm by Wenli Lian

“…It undertakes the important responsibility of cultivating students' aesthetic ability, art appreciation ability, art perception ability, and expression ability. In junior middle school art teaching, the skill of pattern creation is an ability that needs to be focused on cultivating students. …”
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Detection and Counting Model of Soybean at the Flowering and Podding Stage in the Field Based on Improved YOLOv5 by Yaohua Yue, Wei Zhang

“…Based on the YOLOv5 detection model, a microscale detection layer is added and the size of the initial anchor box is improved to enhance feature expression ability. The CBAM attention mechanism is introduced in the backbone network to capture the information of direction and position, which helps the model to locate and recognize more accurately. …”
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Dance Movement Recognition Based on Feature Expression and Attribute Mining by Xianfeng Zhai

“…Then, in order to enhance the expression ability of attribute features, a multibranch spatial channel attention integration module (MBSC) based on an attention mechanism is designed to extract the features of each attribute. …”
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Deep Hashing Based Fusing Index Method for Large-Scale Image Retrieval by Lijuan Duan, Chongyang Zhao, Jun Miao, Yuanhua Qiao, Xing Su

“…In this paper, we propose a novel hashing indexing method, called the Deep Hashing based Fusing Index (DHFI), to generate a more compact hash code which has stronger expression ability and distinction capability. In our method, we train two different architecture’s deep hashing subnetworks and fuse the hash codes generated by the two subnetworks together to unify images. …”
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A feature enhancement FCOS algorithm for dynamic traffic object detection by Tuqiang Zhou, Wei Liu, Haoran Li

“…Finally, in the detection part, the feature expression ability of shallow network was further enhanced by multi-scale feature fusion module, and the effectiveness of the proposed algorithm was verified using Cityscapes dataset. …”
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Brain image registration optimization method via SAM-Med3D multi-scale feature migration by Mo Nan

“…Aiming at the problems of insufficient anatomical structure constraints and limited feature expression ability in medical image registration, this paper proposes a registration optimization method based on SAM-Med3D and dynamic large kernel convolution. …”
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Point‐convolution‐based human skeletal pose estimation on millimetre wave frequency modulated continuous wave multiple‐input multiple‐output radar by Jinxiao Zhong, Liangnian Jin, Ran Wang

“…The extraction of point cloud features is based on point‐by‐point convolution, that is, different weights are applied to different features of each point, which also increases the nonlinear expression ability of the model. Experiments show that the proposed approach is effective. …”
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Defect Detection in the DR Images of Aluminum and Magnesium Alloy Castings Based on the Improved YOLOv8 Algorithm by Mingfei CHEN, Shuai TIAN

“…Second, the YOLOv8 network structure is improved, and the context anchor attention (CAA) mechanism is introduced to pay more attention to key defect features; the cross-scale feature fusion module (CCFM) is introduced to enhance the expression ability of multi-scale features; the detection head is improved to enhance the detection ability of small targets. …”
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A Novel Multistep Wavelet Convolutional Transfer Diagnostic Framework for Cross-Machine Bearing Fault Diagnosis by Lujia Zhao, Yuling He, Hai Zheng, Derui Dai

“…Firstly, a multistep time shift wavelet convolutional network (MTSWCN) based on the multiscale technique and wavelet transform is proposed to explore the diversity information regarding original vibration data and enhance the feature expression ability. Secondly, a confusion transfer method based on multi-view learning is designed to extract diagnosis knowledge that is transferable, which reduces the discrepancy between machines. …”
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FOA-BDNet: A behavior detection algorithm for elevator maintenance personnel based on first-order deep network architecture by Zengming Feng, Tingwen Cao

“…Then, the feature fusion network structure of "far intersection and close connection" is proposed to fuse the fine-grained information with the coarse-grained information and to enhance the expression ability of deep semantic features. Finally, a first-order deep target detection algorithm adapted to the elevator scene is designed to identify and locate the behavior of maintenance personnel and to correctly detect unsafe behaviors. …”
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Anchor-Free Object Detection Algorithm Based on Dual-Angle Multi-Scale Feature Fusion by WANG Xiaoyu, WEI Yuxin, LU Jianyu, YU Yue

“…Secondly, by replacing the backbone network with Res2Net network, the network can improve its multi-scale expression ability from a more fine-grained perspective. …”
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An Âşık at the “Kırklar Kapısı”: Davut Sularî by Çetin Erdem Usanmaz

“…With these features, Davut Sularî can be described as an âşık with high musical expression ability. It is thought that examining the performances in âşık music with the method of lyrical-musical analysis is an important approach for a deeper understanding of the tradition with its own internal dynamics and for classification, analysis and comparison in the future. …”
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DANC-Net: Dual-Attention and Negative Constraint Network for Point Cloud Classification by Hang Sun, Yuanyue Zhang, Jinmei Shi, Shuifa Sun, Guanqun Sheng, Yirong Wu

“…In the DANC-Net, the dual-attention mechanism is utilized to strengthen the interaction between local features of point cloud signal from both channel and space, thereby improving the expression ability of extracted features. Moreover, during the training of the DANC-Net, the negative constraint loss function ensures that the features in the same categories are close and those in the different categories are far away from each other in the representation space, so as to improve the feature extraction capability of the network. …”
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PFW-YOLO Lightweight Helmet Detection Algorithm by Yue Hong, Hao Wang, Shuo Guo

“…Firstly, a multi-scale feature fusion module is designed to reconstruct the Bottleneck structure in C2f, which finally forms the C2f-PMSFF module to enhance the feature expression ability of the model and optimize the computational efficiency. …”
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Multi-scale conv-attention U-Net for medical image segmentation by Peng Pan, Chengxue Zhang, Jingbo Sun, Lina Guo

“…This model integrates the Adaptive Convolution (AC) module, Multi-Scale Learning (MSL) module, and Conv-Attention module to enhance feature expression ability and segmentation performance. The AC module dynamically adjusts the convolutional kernel through an adaptive convolutional layer. …”
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Object Detection Method of Inland Vessel Based on Improved YOLO by Yaoqi Wang, Jiasheng Song, Yichun Wang, Rongjie Wang, Hongyu Chen

“…Then, the Conv of the Backbone network was replaced with DBB to enhance the expression ability of a single convolution and enrich the feature space. …”
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Intelligent Identification Method of Wind Farm Sub-synchronous/Super-synchronous Oscillation Parameters Based on RA-CNN and Synchrophasor by Youwen LU, Hao CUI, Jianing CHEN, Xiangjia PENG, Shuang FENG, Dong LIU

“…The local correlation and weight sharing of the convolutional neural network determine its stronger feature learning and expression ability, and thus, the oscillation parameters can be more accurately identified when it is combined with the attention mechanism. …”
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Detecting subsurface diseases on airport road surface based on an improved SSD algorithm. by Mengmeng Pan, Huiguang Chen, Lipeng Yang, XianRong Jiang

“…Our model designs RFB module with wider receptive field in the network layer, which effectively suppresses the noise interference around the disease and extracts more disease features from the original radar data; in addition, the detailed texture features of different types of diseases are captured by fusing the shallow features of the model network, which realizes the classification and localization of different types of diseases; and the attention mechanism of spatial channel is introduced to enhance the feature expression ability and improve the generalization ability of the model. …”
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