The effect of rehabilitation on quality of life in female breast cancer survivors in Iran by Poorkiani M, Abbaszadeh A, Hazrati M, Jafari P, Sadeghi M, Mohammadianpanah M

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Study on Few-Shot Object Detection Approach Based on Improved RPN and Feature Aggregation by Qiyu Pan, Keyi Fu, Gaocai Wang

“…Simultaneously, we introduce an attention-based Feature Aggregation Module (AFM) in Region of Interest (RoI) Align to aggregate feature information from different levels, obtaining more comprehensive information and feature representation to address the issue of missing feature information due to scale differences. …”
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Underwater Object Detection Method with Enhanced Wavelet Transform Features by Nan WEI, Wankou YANG, Weijie ZHOU, Longyu JIANG

“…These frequency domain feature components were then interactively enhanced using a frequency domain interaction module based on the attention mechanism designed in this work, optimizing the ability of feature expression. …”
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Multi-Dimensional Feature Perception Network for Open-Switch Fault Diagnosis in Grid-Connected PV Inverters by Yuxuan Xie, Yaoxi He, Yong Zhan, Qianlin Chang, Keting Hu, Haoyu Wang

“…However, due to the significant influence of weather conditions on the operating status of PV inverters, the accuracy of traditional fault diagnosis methods faces challenges. To address the issue of open-circuit faults in power switching devices, this paper proposes a multi-dimensional feature perception network. …”
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WELLNESS AT SCHOOL BY PRACTICING CHEERLEADING by I. Nesheva, M. Chipeva

“…The issue for the health of children and youth, their physical culture, and motor activity is becoming increasingly relevant in Bulgarian society. …”
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Learning spatial‐frequency interaction for generalizable deepfake detection by Tianbo Zhai, Kaiyin Lu, Jiajun Li, Yukai Wang, Wenjie Zhang, Peipeng Yu, Zhihua Xia

“…The dual‐stream frequency‐spatial fusion network consists of three components: the spatial forgery feature extraction module, the frequency forgery feature extraction module, and the spatial–frequency feature fusion module. …”
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MRA-YOLOv8: A Network Enhancing Feature Extraction Ability for Photovoltaic Cell Defects by Nannan Wang, Siqi Huang, Xiangpeng Liu, Zhining Wang, Yi Liu, Zhe Gao

“…Second, we integrate a multi-path feature extraction module, ResBlock, into the neck. This module provides finer-grained multi-scale features, improving feature extraction from complex backgrounds and enhancing the model’s robustness. …”
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DAPSS: A Novel Network for DOM Assisted Oblique Photography Point Cloud Semantic Segmentation by Zhenzhen Song, Mingqiang Guo, Liang Wu, Heng Liu, Ying Huang, Zheng Liu

“…Vertical occlusion has an issue, making ray-based mapping methods unsuitable. …”
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Design of CMOS Charge-sensitive Amplifier for Coaxial High Purity Germanium Detector by LIU Zhan, HE Gaokui, LIU Haifeng

“…However, larger transistor sizes can lead to gate leakage currents, which can alter the baseline of the amplifier output. To address this issue, a low-noise CSA circuit with a feedback resistor module for leakage current compensation was developed. …”
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Joint Intensity and Spatio-Temporal Representation Learning for Extreme Precipitation Nowcasting by Zefeng Pan, Renlong Hang, Qingshan Liu, Chunxiang Shi, Zhiqiang Xu, Xiao-Tong Yuan

“…However, the existing methods tend to inadequately weigh precipitation intensity features by only implicitly learning and modeling these features within the spatial distribution. To address this issue, we design an Intensity Trend Module (ITM) to explicitly learn and model the intensity features of extreme precipitation events. …”
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Entity class-restricted twin attention-based aggregation for geographic knowledge graph inference by Jinlan Kong, Xiaohui He, Haichuan Fang, Roujia Ji, Peng Yang, Shuang Li, Haofei Li, Haonan Sun, Mengjia Qiao, Panle Li, Xijie Cheng, Qinglei Zhou, Jiandong Shang

“…This module simultaneously considers the impact of context on entities and relations, further promoting the capture of GeoKG structural information. …”
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Unpaired Spatio-Temporal Fusion for Remote Sensing Images via Deformable Global-Local Feature Alignment by Xinlan Ding, Huihui Song, Xu Zhang

“…We design a feature alignment module to link the changed region with the surrounding stable region to obtain the global context information. …”
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SPA-Net: An Offset-Free Proposal Network for Individual Tree Segmentation from TLS Data by Yunjie Zhu, Zhihao Wang, Qiaolin Ye, Lifeng Pang, Qian Wang, Xiaolong Zheng, Chunhua Hu

“…Subsequently, an affinity aggregation (AA) module robustly refines these proposals by assessing inter-proposal relationships and merging fragmented segments, effectively mitigating oversegmentation of large or complex trees; integrating with SGP eliminates the postprocessing step of scoring/NMS. …”
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Onboard, tethered IL-12 boosts potency of the Tmod NOT gate and preserves selectivity by Alexander Kamb, Sara Imboden, Dongwoo Lee, Mark E Daris, Alexandre Zampieri, Jingli A Zhang, Sanam Shafaattalab, Jushen Liang, Richele Bruno, Jon Torres, Alexander Partin, Timothy P Riley

“…Cells engineered with receptors that act as synthetic logic gates promise to address the issue of tumor specificity by targeting antigen profiles rather than single antigens. …”
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YOLO-MES: An Effective Lightweight Underwater Garbage Detection Scheme for Marine Ecosystems by Chengxu Huang, Wenyuan Zhang, Beitian Zheng, Jiahao Li, Bochen Xie, Ruisi Nan, Zongming Tan, Baohua Tan, Neal N. Xiong

“…Additionally, YOLO-MES embeds the Efficient Channel Attention (ECA) module within the bneck structure to form the MECAneck module, which enhances adaptive feature extraction, significantly improving the network’s cross-channel feature capture and target recognition capabilities. …”
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A MultiScale Coordinate Attention Feature Fusion Network for Province-Scale Aquatic Vegetation Mapping From High-Resolution Remote Sensing Imagery by Yuzhe Wang, Yunfei Sun, Peng Zhang, Yanlan Wu, Hui Yang

“…Specifically, we propose a feature fusion module based on the squeeze-and-excitation coordinate attention mechanism. …”
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A Full‐Range Proximity‐Tactile Sensor Based on Multimodal Perception Fusion for Minimally Invasive Surgical Robots by Dongsheng Li, Tianci Ji, Yuyang Sun, Zhongbin Zhang, Aomen Li, Mengjiao Qu, Dongze Lv, Jin Xie, Huicong Liu

“…However, the lack of adequate perception capability remains a significant issue for the robots. In this work, a full‐range proximity‐tactile sensing module has been developed for safe operation of surgical robots, which performs multimodal fusion perception through ultrasonic sensor for long‐range proximity detection, capacitive sensor for close‐range proximity sensing, and triboelectric sensor for tactile sensing. …”
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Undergraduate Students in a Medical College in Manipur by Rajkumar Arbind Singh, Ronal Singh Rajkumar, Abhijeet Srivastava, Hawaibam Budhichandra Singh

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An improved U-net and attention mechanism-based model for sugar beet and weed segmentation by Yadong Li, Ruinan Guo, Rujia Li, Rongbiao Ji, Mengyao Wu, Dinghao Chen, Cong Han, Ruilin Han, Yongxiu Liu, Yuwen Ruan, Jianping Yang, Jianping Yang

“…Additionally, CBAM (Convolutional Block Attention Module) is incorporated into the decoder as a multi-scale feature fusion module, adaptively adjusting feature map weights to enable the model to focus more accurately on the edges and textures of crops and weeds.Results and discussionExperimental results show that the proposed model achieved 84.28% mIoU and 88.59% mPA on the sugar beet dataset, representing improvements of 3.08% and 3.15% over the baseline UNet model, respectively, and outperforming mainstream models such as FCN, PSPNet, SegFormer, DeepLabv3+, and HRNet. …”
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MPVT: An Efficient Multi-Modal Prompt Vision Tracker for Visual Target Tracking by Jianyu Xie, Yan Fu, Junlin Zhou, Tianxiang He, Xiaopeng Wang, Yuke Fang, Duanbing Chen

“…Three key components are involved in the model: a decoupled input enhancement module, a dynamic adaptive prompt fusion module, and a fully connected head network module. …”
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