FsDAOD: Few-shot domain adaptation object detection for heterogeneous SAR image by Siyuan Zhao, Yong Kang, Hang Yuan, Guan Wang, Hui Wang, Shichao Xiong, Ying Luo

“…Heterogeneous Synthetic Aperture Radar (SAR) image object detection task with inconsistent joint probability distributions is occurring more and more frequently in practical applications. …”
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SCL-YOLOv11: A Lightweight Object Detection Network for Low-Illumination Environments by Shulong Zhuo, Hao Bai, Lifeng Jiang, Xiaojian Zhou, Xu Duan, Yiqun Ma, Zihan Zhou

“…Object detection in low-light environments has been widely recognized as a critical research direction in the field of computer vision. …”
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Foreign object detection for mining conveyor belts based on YOLOv5n-CND by SUN Aoran, ZHAO Peipei, YANG Di, ZHANG Junyi, YU Hongjian

“…Second, the normalized Gaussian Wasserstein distance (NWD) regression loss function was used to replace CIoU, improving the performance of multi-scale foreign object detection and accurately predicting the detection of adhering small objects. …”
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Few-shot object detection for pest insects via features aggregation and contrastive learning by Shuqian He, Shuqian He, Biao Jin, Biao Jin, Xuechao Sun, Wenjuan Jiang, Wenjuan Jiang, Jiaxing Gu, Fenglin Gu

“…To address these limitations, this study proposes a novel few-shot object detection (FSOD) method leveraging feature aggregation and supervised contrastive learning (SCL) within the Faster R-CNN framework. …”
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Integrated neural network framework for multi-object detection and recognition using UAV imagery by Mohammed Alshehri, Tingting Xue, Tingting Xue, Ghulam Mujtaba, Yahya AlQahtani, Nouf Abdullah Almujally, Ahmad Jalal, Ahmad Jalal, Hui Liu, Hui Liu, Hui Liu

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Bio-Inspired Object Detection and Tracking in Aerial Images: Harnessing Northern Goshawk Optimization by Agnivesh Pandey, Rohit Raja, Sumit Srivastava, Krishna Kumar, Manoj Gupta, Chanyanan Somthawinpongsai, Aziz Nanthaamornphong

“…This study presents a novel approach for object detection and tracking in aerial images using a multi-scale Northern Goshawk Pyramid Generative Adversarial Network (NGPGAN). …”
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Detecting Positive and Negative Changes From SAR Images by an Evolutionary Multi-Objective Approach by Shuang Liang, Hao Li, Yun Zhu, Maoguo Gong

“…This paper presents an unsupervised change detection approach for detecting the positive and negative changes based on a multi-objective evolutionary algorithm. …”
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Surrounding Object Material Detection and Identification Method for Robots Based on Ultrasonic Echo Signals by Bo Zhu, Tao Geng, Gedong Jiang, Zheng Guan, Yang Li, Xialun Yun

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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 proposed algorithm introduces several key enhancements: (1) an enhanced HorBlock module to facilitate multi-gradient and multi-scale superposition, thereby intensifying critical floating object characteristics; (2) an optimized CBAM attention mechanism to mitigate background noise interference and substantially elevate detection accuracy; (3) the incorporation of a minor target recognition layer to augment the model’s capacity to discern floating objects of differing dimensions across various environments; and (4) the implementation of the WIoU loss function to enhance the model’s convergence rate and regression accuracy. …”
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Function of epithiospecifier protein gene from broccoli by YUAN Gao-feng, WANG Qiao-mei

“…ESPs have been purified and identified in Crambe abyssinica, Arabidopsis thaliana, Brassica napus and Brassica oleracea that appear responsible for the formation of epithionitriles. However, the function of ESP in the regulation of glucosinolate hydrolysis and its physiological role in Brassica vegetables remain unclear.The objective of the present study was to analyze the function of BoESP and investigate the regulation mechanism of ES P in glucosinolate hydrolysis of Brassica vegetables.Total RNA was extracted from broccoli (Brassica oleracea L. ssp. italica) used as the template to amplify the full length of cDNA of broccoli ESP gene (BoESP) by RT-PCR, and the gene fragment was subsequently cloned into pMDTM20-T vector. …”
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CXCR4+ Sorted Adipose-Derived Stem Cells Enhance Their Functional Benefits and Improve Cardiac Function after Myocardial Infarction by Zihui Yuan, Chuanqi Cai, You Qin, Kai Yan, Jian Wang

“…Objective. The homing of adipose-derived stem cells (ASCs) to infarcted myocardium, which is important for improved cardiac function, has been investigated previously, but with poor efficiency. …”
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Sex Dependence of Cognitive Functions in Bipolar Disorder by Aleksandra Suwalska, Dorota Łojko

“…The objective of the present study was to assess the performance of lithium treated euthymic bipolar patients in tests measuring spatial working memory (SWM), planning, and verbal fluency and to delineate the influence of gender on cognitive functioning. …”
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Central Hemodynamic Function in Miners with Thermal Injury by V. V. Moroz, Yu. A. Churlyaev, A. V. Sherstobitov, V. Ya., Martynenkov, L. Yu. Redkokasha, P. G. Sitnikov, N. V. Kolyshkina

“…Objective: to study the specific features of central hemodynamic function in the acute phase of severe thermal injury (STI) in miners who had a length of service of 10 years or more. …”
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Effect of hemodiafiltration on phagocytic function of neutrophils in uremia by WANG Li-fang, WANG Ming-jun, ZHOU Hong-wei

“…Objective To observe the effects of hemodiafiltration（ HDF） on phagocytic function of neutrophils,acid-base and electrolyte in uremic patients. …”
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Observation of Brain Functional Connectivity and Activation Characteristics in Children with Attention Deficit and Hyperactivity Disorder Based on Functional Near-Infrared Spectros... by WANG Jing, LIU Yun, HUANG Haoyu, WU Jinting, ZOU Zhuo, CHEN Yingjuan, WEI Xianzhao, SU Hang

“…ObjectiveTo explore the characteristics of functional connectivity in the prefrontal cortex of children with attention deficit hyperactivity disorder (ADHD) at rest and the level of brain functional activation during the Go/No-go task using functional near and infrared spectroscopy (fNIRS).MethodsTwenty-one children with ADHD who visited Kunming Children's Hospital from January 2022 to August 2023 were selected as the study subjects, namely the ADHD group. …”
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Toward improving precision and complexity of transformer-based cost-sensitive learning models for plant disease detection by Manh-Tuan Do, Manh-Hung Ha, Duc-Chinh Nguyen, Oscal Tzyh-Chiang Chen, Oscal Tzyh-Chiang Chen

“…The proposed model combined with transformer-based long-term dependency modeling and convolution-based visual feature extraction to improve object detection performance. To optimize a model to a lightweight version, we integrated the proposed transformer model with the Ghost module. …”
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DKA-YOLO: Enhanced Small Object Detection via Dilation Kernel Aggregation Convolution Modules by Yicheng Qiu, Feng Sha, Li Niu

“…Small object detection represents a pivotal sub-domain within the field of computer vision. …”
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Rice Disease Detection: TLI-YOLO Innovative Approach for Enhanced Detection and Mobile Compatibility by Zhuqi Li, Wangyu Wu, Bingcai Wei, Hao Li, Jingbo Zhan, Songtao Deng, Jian Wang

“…Secondly, it innovatively integrates a new small object detection layer into the feature fusion layer, which enhances the detection ability by combining shallow and deep feature maps so as to learn small object features more effectively. …”
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Study on Distributed Ultrasonic Detection Method of Two-dimensional Gas Temperature Field by LI Shaozhuang, SHI Youan, LU Xiaokang, CHEN Yu, WEI Dong

“…ObjectiveThis study applies several temperature sensors in current autoclave systems to control the forming temperature of composite components. …”
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An efficient fire detection algorithm based on Mamba space state linear attention by Yuming Li, Yongjie Wang, Xiaorui Shao, Anbo Zheng

“…Abstract As an emerging State Space Model (SSM), the Mamba model draws inspiration from the architecture of Recurrent Neural Networks (RNNs), significantly enhancing the global receptive field and feature extraction capabilities of object detection models. Compared to traditional Convolutional Neural Networks (CNNs) and Transformers, Mamba demonstrates superior performance in handling complex scale variations and multi-view interference, making it particularly suitable for object detection tasks in dynamic environments such as in fire detection scenarios. …”
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