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SR-DAYOLOv8: cross-domain adaptive object detection based on super-resolution domain classifier

MULTIMEDIA SYSTEMS 2025年第1期31卷 1-16页

作者： Wang, Huilin Qian, Huaming Harbin Engn Univ Coll Intelligent Syst Sci & Engn Harbin 150001 Peoples R China

Object detection is a fundamental task of environment perception in traffic road scenarios, and its accurate detection results are of great significance for improving the reliability of autonomous driving, optimizing traffic flow management, and enhancing road safety. However, the problem of domain offset between different traffic road scenarios leads to a poor generalization of the target detector. To address this challenge, we propose a new unsupervised domain adaptation object detection algorithm, SR-DAYOLOv8. Specifically, the algorithm contains three effective components. First, we use the source and target domains to train an unpaired image-to-image translator to generate a target-like domain, using the target-like domain as input to compensate for image-level differences. Second, to correct cross-domain discrepancies, we add a new detector for the target-like domain, enabling it to conduct supervised learning training, just like the source domain. Finally, we design a super-resolution domain classifier to obtain domain adaptive feature maps. Domain-invariant features are extracted through image-level adaptation and instance-level adaptation, and consistency regularization is employed to optimize the overall alignment effect. We conducted experiments on Cityscape, Foggy Cityscape, KITTI, SIM10K, and BDD100K datasets for different domain offset scenarios. Experimental results show that our method can improve target detection performance in different domain offset scenarios and outperform other state-of-the-art algorithms.

关键词： Object detection Domain offset Unsupervised domain adaptation Super-resolution domain classifier

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Differential Mechanisms of Soybean-Derived ACE2-Activating Peptides IVPQ and IAVPT in ACE2-Mediated Endothelial Protection

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JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2025年第7期73卷 4065-4077页

作者： Zhou, Minzhi Song, Tianyuan Huang, Mingtao Zheng, Lin Zhao, Mouming South China Univ Technol Sch Food Sci & Engn Guangzhou 510640 Peoples R China Zhejiang Gongshang Univ Sch Food Sci & Biotechnol Hangzhou 310018 Peoples R China Jiangsu Univ Int Res Ctr Food Nutr & Safety Zhenjiang 212013 Peoples R China

This study aimed to investigate the modulatory effects of soybean-derived peptides IVPQ and IAVPT, which were initially identified as potent ACE2-activating peptides, on Ang II-induced endothelial dysfunction in human umbilical vein endothelial cells (HUVECs) and the underlying mechanisms via ACE2 activation. IVPQ and IAVPT ameliorated Ang II-induced malignant migration and NO reduction in HUVECs via the activation of the ACE2/Ang-(1-7)/MasR axis, resulting in Ang II degradation and decreased Ang II signaling. These protective effects were attenuated by ACE2 knockdown to different degrees, which was possibly due to different mechanisms of activating ACE2, where IAVPT directly activated ACE2 at a concentration of 1.0 x 10-4 M and IVPQ upregulated ACE2 likely through effects on ACE2 mRNA stability. These results contributed to our understanding of the mechanism of ACE2-activating peptides regulating endothelial function.

关键词： soybean bioactive peptide ACE2 ACE2-activatingpeptide endothelial dysfunction Ang II Ang II signaling endothelial cells

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Thermoelectric Performance and Stability of Industrially Zone-Melted P-Type BiSbTe Alloys with High Te Doping

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ACS APPLIED MATERIALS & INTERFACES 2025年第9期17卷 14301-14311页

作者： Cao, Weiqiang Lyu, Jianan Wang, Ziao Zhang, Mingqi Yan, Yonggao Yang, Dongwang Tang, Xinfeng Wuhan Univ Technol State Key Lab Adv Technol Mat Synth & Proc Wuhan 430070 Peoples R China

In the preparation process of p-type BiSbTe alloys, conventional powder metallurgy techniques often use excess Te to optimize the performance. Large-scale industrial zone melting also attempts to compensate for Te during raw material preparation. However, it is unclear whether the thermoelectric performance of p-type BiSbTe improves with excess Te in industrial production as well as the thermal stability of the material and devices. This study focuses on p-type zone-melted BiSbTe materials with different doping and solid solution contents. The results show that 3 wt % Te doping increases the maximum ZT from 0.94 to 1.11, with the peak shifting from 393 to 343 K. After annealing at 380 degrees C, the ZT of the material containing 3 wt % Te decreases to 0.98. After annealing at 250 degrees C for 1000 h, the ZT value of the sample decreases by 8% overall, with Te secondary phases still present within the bulk. Reliability tests indicate that the ACR change rate of the chemically treated device (p: Bi0.48Sb1.52Te3 + 3 wt % Te, n: Bi2Te2.79Se0.21) is nearly 11%, significantly higher than the 5.07% observed in the chemically untreated device (p: Bi0.48Sb1.52Te3 + 3 wt % Te, n: Bi2Te2.79Se0.21). TEM and EPMA results reveal that elemental Te and Ni formed massive NiTe grains at the barrier layer interface. These grains' growth leads to interfacial voids and cracks, increasing the interfacial contact resistance.

关键词： thermoelectric stability p-typeBiSbTe zone melting industrial preparation

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Microbial-induced Synthesis of nano NiFe LDH for High-efficiency Oxygen Evolution

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CHEMISTRY-A EUROPEAN JOURNAL 2025年第15期31卷 e202404086页

作者： Li, Wei-Wei Wu, Hai-Fang Li, Qi-Chang Wang, Xue-Fei Duan, Feng Xie, Hao Zhang, Jian Shen, Qiang Yang, Xiao-Yu Luo, Guo-Qiang Wuhan Univ Technol Sch Chem Chem Engn & Life Sci Wuhan 430070 Peoples R China Wuhan Univ Technol State Key Lab Adv Technol Mat Synth & Proc Wuhan 430070 Peoples R China Wuhan Univ Technol China Chaozhou Branch Chem & Chem Engn Guangdong Lab Chaozhou 521000 Peoples R China

NiFe layered double hydroxide (LDH) currently are the most efficient catalysts for the oxygen evolution reaction (OER) in alkaline environments. However, the development of high-performance low cost OER electrocatalysts using straightforward strategies remains a significant challenge. In this study, we describe an innovative microbial mineralization-based method for in situ-induced preparation of NiFe LDH nanosheets loaded on nickel foam and demonstrate that this material serves as an efficient oxygen evolution electrocatalyst. In the microbial mineralization process, bacteria adhere to electrode materials and promote the surface nucleation of nanomaterials when metal ions are present. Specifically, our findings indicate that biomineralization accelerates the formation and regulation of NiFe LDH. The new electrocatalyst displays excellent OER performance, with a small overpotential of 220 mV at 10 mA cm-2 and a Tafel slope down to 38.6 mV dec-1 in alkaline solution. The remarkable OER performance of the microbial mineralization-derived electrocatalyst is attributed to the synergistic effect of NiFe LDH and a bacterial-specific surface area that contains multiple active sites. This study has uncovered a new approach for the assembly of NiFe LDH that relies on biomineralization to bring about morphological and structural modification of LDH nanosheets.

关键词： Microbial mineralization NiFe LDH Structural modification Oxygen evolution reaction Morphological regulation center dot

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Learning with semantic ambiguity for unbiased scene graph generation

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PEERJ COMPUTER SCIENCE 2025年 11卷 e2639-e2639页

作者： Zhong, Shanjin Cao, Yang Chen, Qiaosen Gong, Jie South China Normal Univ Sch Artificial Intelligence Foshan Guangdong Peoples R China South China Normal Univ Sch Comp Sci Guangzhou Guangdong Peoples R China

Scene graph generation (SGG) aims to identify and extract objects from images and elucidate their interrelations. This task faces two primary challenges. Firstly, the long-tail distribution of relation categories causes SGG models to favor high-frequency relations, such as "on" and "in". Secondly, some subject-object pairs may have multiple reasonable relations, which often possess a certain degree of semantic similarity. However, the use of one-hot ground-truth relation labels does not effectively represent the semantic similarities and distinctions among relations. In response to these challenges, we propose a model-agnostic method named Mixup and Balanced Relation Learning (MBRL). This method assigns soft labels to samples exhibiting semantic ambiguities and optimizes model training by adjusting the loss weights for fine-grained and low-frequency relation samples. Its model-agnostic design facilitates seamless integration with diverse SGG models, enhancing their performance across various relation categories. Our approach is evaluated on widely-used datasets, including Visual Genome and Generalized Question Answering, both with over 100,000 images, providing rich visual contexts for scene graph model evaluation. Experimental results show that our method outperforms state-of-the-art approaches on multiple scene graph generation tasks, demonstrating significant improvements in both relation prediction accuracy and the handling of imbalanced data distributions.

关键词： Scene graph generation Long-tail distribution Semantic ambiguity Soft label

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Green synthesis of zeolite and its regeneration for adsorption of ammonia nitrogen in water

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Environmental Science and Pollution research 2025年第9期32卷 5132-5142页

作者： Chen, Jie Liu, Junjie Zhang, Ze Wang, Jing Bi, Shiming Tang, Xiaojun Huang, Zhujian Key Laboratory of Environment and Safety Technology of Transportation Infrastructure Engineering CCCC CCCC Fourth Harbor Engineering Institute Co. Ltd. Guangzhou510230 China The Seventh Engineering Company of CCCC Fourth Harbor Engineering Co. Ltd Guangzhou510230 China Guangdong Provincial Key Laboratory of Agricultural & Rural Pollution Abatement and Environmental Safety College of Natural Resources and Environment South China Agricultural University 483 Wushan St. Guangzhou510642 China

This study presents a novel green approach for the preparation of zeolite material from fly ash using a combination of mechanochemical methods. The physicochemical properties of the synthesized zeolite, including crystal structure and porosity, were systematically investigated. The synthesized zeolite was employed for the adsorption of ammonia nitrogen from aqueous solutions, and their adsorption kinetics and thermodynamics were comprehensively studied. The results revealed that the adsorption of ammonia nitrogen onto the zeolite follows the Langmuir adsorption model. Additionally, the zeolite exhibited strong selective adsorption and remarkable resistance to interference from coexisting cations in the aqueous solution. Finally, regeneration experiments were conducted using NaCl, NaClO, and their mixtures to desorb ammonia nitrogen from the spent zeolite. A total of 17 regeneration cycles were performed until the adsorption capacity of the zeolites was exhausted. The adsorption performance of the regenerated zeolite was evaluated to assess the impact of different reagents and regeneration cycles on adsorption efficiency. The optimal regeneration method was identified, leading to the successful valorization of fly ash into zeolite for ammonia adsorption and the development of effective regeneration strategies for spent zeolite. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.

关键词： Ammonia

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Robust Autism Spectrum Disorder-Related Spatial Covariance Gray Matter Pattern Revealed With a Large-Scale Multi-Center Dataset

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AUTISM research 2025年第2期18卷 312-324页

作者： Ma, Sheng-Zhi Wang, Xing-Ke Yang, Chen Dong, Wen-Qiang Chen, Dan-Dan Song, Chao Zhang, Qiu-Rong Zang, Yu-Feng Yuan, Li-Xia Hangzhou Normal Univ Affiliated Hosp Ctr Cognit & Brain Disorders Hangzhou Peoples R China Hangzhou Normal Univ Inst Psychol Sci Hangzhou Peoples R China Hangzhou Normal Univ Zhejiang Key Lab Res Assessment Cognit Impairments Hangzhou Peoples R China Beijing Normal Univ State Key Lab Cognit Neurosci & Learning Beijing Peoples R China Zhejiang Univ Sir Run Run Shaw Hosp Sch Med Dept Psychiat Hangzhou Peoples R China Zhejiang Univ Childrens Hosp Natl Clin Res Ctr Child Hlth Sch Med Hangzhou Peoples R China

Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder and its underlying neuroanatomical mechanisms still remain unclear. The scaled subprofile model of principal component analysis (SSM-PCA) is a data-driven multivariate technique for capturing stable disease-related spatial covariance pattern. Here, SSM-PCA is innovatively applied to obtain robust ASD-related gray matter volume pattern associated with clinical symptoms. We utilized T1-weighted structural MRI images (sMRI) of 576 subjects (288 ASDs and 288 typically developing (TD) controls) aged 7-29 years from the Autism Brain Imaging Data Exchange II (ABIDE II) dataset. These images were analyzed with SSM-PCA to identify the ASD-related spatial covariance pattern. Subsequently, we investigated the relationship between the pattern and clinical symptoms and verified its robustness. Then, the applicability of the pattern under different age stages were further explored. The results revealed that the ASD-related pattern primarily involves the thalamus, putamen, parahippocampus, orbitofrontal cortex, and cerebellum. The expression of this pattern correlated with Social Response Scale and Social Communication Questionnaire scores. Moreover, the ASD-related pattern was robust for the ABIDE I dataset. Regarding the applicability of the pattern for different age stages, the effect sizes of its expression in ASD were medium in the children and adults, while small in adolescents. This study identified a robust ASD-related pattern based on gray matter volume that is associated with social deficits. Our findings provide new insights into the neuroanatomical mechanisms of ASD and may facilitate its future intervention.

关键词： autism spectrum disorder (ASD) gray matter (GM) volume robustness spatial covariance pattern structural MRI images (sMRI)

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High Ambient Contrast Ratio and Efficiency LED Display Devices Utilizing Inverted Packaging Structure

IEEE PHOTONICS JOURNAL

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IEEE PHOTONICS JOURNAL 2025年第2期17卷

作者： Li, Zong-Tao Qiu, Yi-Hua Li, Jia-Sheng Li, Jin-Cheng Yu, Bin-Hai Zhu, Xin Ding, Xin-Rui South China Univ Technol Natl & Local Joint Engn Res Ctr Semicond Display & Guangzhou 510641 Peoples R China Foshan Nationstar Optoelect Co Ltd Guangdong Prov Key Lab Semicond Micro Display Foshan 528000 Peoples R China

Highly light-absorbed encapsulation is generally used to eliminate the ambient light for light-emitting diode (LED) display devices, it is challenging to simultaneously achieve a high ambient contrast ratio (ACR) and high light output efficiency (LOE). To solve this problem, we propose an inverted packaging structure for LED display devices. The LED chips' emitting surface is mounted on the transparent carrier board (TCB) while the backside is packaged by the composite encapsulation, causing that the substrate is inverted to the topside of devices. As a result, the chips can emit light directly from the TCB and avoid the absorption loss of the encapsulation, leading to the high ACR and LOE performances. Compared to traditional devices, the inverted device showed an average increase of over 800% in luminous flux (LF) and LOE, and an average increase of over 390% in ACR. Additionally, the devices exhibited excellent soldering performance, corrosion resistance, airtightness, and thermal stability. This novel device overcomes the bottleneck of achieving both high ACR and high LOE, providing new insights for the development of LED display technology. Future work can further optimize the structure and materials of the TCB and composite encapsulation to enhance device performance.

关键词： Encapsulation Carbon Powders Light emitting diodes Reflectivity Electrodes Performance evaluation Wire Thermal stability Surface treatment Ambient contrast ratio composite encapsulations corrosion resistance inverted packing structure LED device light output efficiency thermal stability

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Preparation of diamond/RB-SiC composite with low residual silicon and high diamond content by infiltration

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JOURNAL OF ALLOYS AND COMPOUNDS 2025年 1018卷

作者： Zhang, Zijian He, Xinbo Zhang, Tao Guan, Hongda Qu, Xuanhui Univ Sci & Technol Beijing Inst Adv Mat & Technol Beijing 100083 Peoples R China Guangzhou Inst Adv Mat Guangzhou 510000 Peoples R China

The infiltration has the advantages of high efficiency and near net forming, making it the mainstream method for preparing diamond/SiC composite. However, no pressure was applied during the infiltration and the SiC matrix originated from the silicon-carbon reaction, resulting in a low diamond content and a large amount of residual silicon. This makes it difficult to further improve the properties of the composite, especially the thermal conductivity. Therefore, reaction bonded SiC (RB-SiC) was proposed as the matrix to reduce silicon content, and composition design was carried out to obtain high content of diamond. The results showed that in the prepared composite, the diamond content (61.14 vol%) reached the theoretical maximum of 90.43 %, and the silicon is only 4.79 vol%. Therefore, the thermal conductivity of composite can reach up to 665.47 W/mK. In addition, the influence of SiC particle size on phase composition, microstructure, and properties was analyzed.

关键词： Diamond/SiC Phase content Thermal conductivity

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IMS: Towards Computability and Dynamicity for Intent-Driven Micro-Segmentation

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IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING 2025年第1期22卷 677-694页

作者： Ma, Zixuan Li, Chen Zhang, Yuqi You, Ruibang Tu, Bibo Chinese Acad Sci Inst Informat Engn Beijing 100085 Peoples R China Univ Chinese Acad Sci Sch Cyber Secur Beijing 100049 Peoples R China

Micro-segmentation (MSG), a pillar of Zero-Trust, provides fine-grained access control for east-west traffic between cloud endpoints (VMs/containers). Admins formulate strict whitelisting MSG policies that allow necessary traffic. However, current MSG systems lack the computability foundation to resolve policy inconsistencies, where policy overlap can cause conflicts that violate the security requirements, and to verify policy reachability to avoid erroneously blocking necessary traffic. Meanwhile, current MSG systems lack comprehensive dynamicity processing, including maintaining invariants when updating MSG policies and promptly adjusting policy enforcement for endpoint status changes. We propose IMS, the first intent-driven MSG system towards computability and dynamicity. IMS innovatively defines the endpoint group space and algebra, providing the computability foundation for formally and automatically verifying and processing MSG policies. Based on this, IMS implements functionalities to resolve policy inconsistencies and to verify policy reachability. Meanwhile, IMS achieves comprehensive and prompt dynamicity processing. IMS fulfils the verification and dynamicity processing requirements of intent-driven systems. We implement a prototype and evaluations show that the processing time of IMS functionalities scales linearly with the number of policies, and the average endpoint dynamicity processing time is 5.05 ms in the setup of 1,000 endpoints, illustrating that IMS is scalable and can process dynamicity promptly.

关键词： Micro-segmentation zero-trust policy verification dynamicity processing intent-driven system Micro-segmentation zero-trust policy verification dynamicity processing intent-driven system

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