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Bilateral Triple-interaction network: An accurate segmentation model of wet-blue hide surface defects for leather industry

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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2025年 153卷

作者： cao, luwen Han, Qixin Luo, Rong Yang, Liangliang Sun, Yafei Jia, Weikuan Shandong Normal Univ Sch Informat Sci & Engn Jinan 250358 Peoples R China Qilu Univ Technol Shandong Acad Sci State Key Lab Biobased Mat & Green Papermaking Jinan 25035 Peoples R China Kitami Inst Technol Fac Engn Kitami Hokkaido 0908507 Japan

In the production environment of the leather industry, there is an urgent need to implement automated detection of surface defects in leather due to the increasing demand for high-quality leather. However, due to the similarity of leather defects to the background, complex textures, and the variable nature of defects, automated detection faces significant challenges. To address this, this study proposes a semantic segmentation model for the segmentation of surface defects in wet-blue hide, named Bilateral Triple-Interaction Segmentation Network. First, a Boundary Branch is introduced to more accurately identify and process the subtle boundaries between defects and normal leather textures. Secondly, a bidirectional transformer feature fusion module is proposed to guide feature fusion and help maintain the continuity of global features. Finally, a Triple Branch Integrator module is proposed to enhance the fusion of details, context, and boundary features. The proposed method was evaluated on a wet-blue hide surface defect dataset, achieving Intersection over Union (IoU) scores of 83.9 %, 95.3 %, and 88.1 % for brand, hole, and broken surface defects, respectively. This study establishes a theoretical framework for the precise segmentation of leather surface defects and is expected to drive advancements in automation technology within the leather industry.

关键词： Surface defects Feature fusion Semantic segmentation

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Treebanks and World Englishes

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ENGLISH WORLD-WIDE 2025年第1期46卷 93-121页

作者： Huang, Nick Lin, Li Han, Kunmei Hing, Jia Wen cao, luwen Ooi, Vincent Bao, Zhiming Natl Univ Singapore Singapore Singapore East China Univ Polit Sci & Law Shanghai Peoples R China

Treebanks (parsed corpora) play an important role in linguistic research, but creating high-quality parses can be very labor-intensive. This paper discusses the prospects of creating such parses in the context of New Englishes and what kinds of research insights parses can deliver. We present Singapore English as a case study. We suggest that despite the many contact-derived lexical and grammatical properties of Singapore English, it is quite feasible to apply an off-the-shelf American English parser to generate parses of Singapore English. In addition, we present an exploratory analysis of noun phrases in a Singapore English treebank, to illustrate the potential of parses and treebanks in research on World Englishes.

关键词： treebank corpus World Englishes syntactic parsing variation Singapore English New Englishes language contact

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Optimized YOLOv8 Model for Precise Defects Detection on Wet-Blue Hide Surface

JOURNAL OF THE AMERICAN LEATHER CHEMISTS ASSOCIATION

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JOURNAL OF THE AMERICAN LEATHER CHEMISTS ASSOCIATION 2024年第11期119卷 467-480页

作者： cao, luwen Han, Qixin Luo, Rong Xu, Li Jia, Weikuan Shandong Normal Univ Sch Informat Sci & Engn Jinan 250358 Peoples R China Qilu Univ Technol Shandong Acad Sci State Key Lab Biobased Mat & Green Papermaking Jinan 25035 Peoples R China Zaozhuang Univ Sch Informat Sci & Engn Zaozhuang 277160 Peoples R China

In the leather manufacturing industry, the detection of surface defects is crucial for ensuring product quality. Traditional manual inspection methods are subjective, inefficient, and susceptible to environmental influences, and can no longer meet the demands for high efficiency and quality in modern leather production. Therefore, developing a fast, accurate, and automated defect detection system has become an urgent need in the industry. Against this backdrop, this paper conducts an in-depth study and targeted optimization of the YOLOv8 algorithm, proposing a novel wet blue leather surface defect detection model, ACI-Net, to enhance detection accuracy and robustness. To address the challenge of distinguishing defects from similar background textures, this study introduces the ACMix attention module. This module effectively captures long-range dependencies in images, significantly improving the accuracy of defect recognition. The study incorporates the MetaNeXtStage module, which focuses on the effective integration of multi-scale features, enabling the model to precisely identify a wide range of defect sizes, thereby enhancing overall detection performance. Comparative experiments demonstrate that this algorithm surpasses existing models in defect detection, achieving accuracy rates of 86.2%, 99%, and 88.8% for brand, broken hole, and broken surface, respectively, thus meeting the dual requirements for precision and robustness in industrial applications.

关键词： Leather

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Tagging Singapore English

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WORLD ENGLISHES 2023年第4期42卷 624-641页

作者： Lin, Li Han, Kunmei Hing, Jiawen cao, luwen Ooi, Vincent Huang, Nick Bao, Zhiming Natl Univ Singapore Dept English Linguist & Theatre Studies Block AS57 Arts Link Singapore 117570 Singapore

It is well-known that Outer Circle English has undergone extensive contact-induced lexical and grammatical restructuring. Is it possible to use common NLP tools developed for Inner Circle English to process Outer Circle English texts? Here, we report our experience of using the Stanford PoS tagger to tag the Singaporean component of the International Corpus of English (ICE-SIN). We isolate two major contact-related causes of tagging errors: (1) lexical and grammatical loans directly borrowed from the local languages;and (2) English-origin words with new grammatical meanings acquired from the local languages. While the first type may be easy to overcome, the latter type is intractable, creating an extra layer of morphosyntactic complexity. We achieved comparable accuracy rates in the more formal registers, and a lower but still decent 88% in the informal register of private conversations. A tagged ICE-SIN allows us to investigate lexical and grammatical restructuring at unprecedented levels of detail.

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Lightweight Detection Model for Animal Wet-Blue Hide Surface Defects Based on Yolov5s

JOURNAL OF THE AMERICAN LEATHER CHEMISTS ASSOCIATION

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JOURNAL OF THE AMERICAN LEATHER CHEMISTS ASSOCIATION 2024年第10期119卷 255-267页

作者： Han, Qixin Wan, Yushan cao, luwen Luo, Rong Sung, Yafei Jia, Weikuan Shandong Normal Univ Sch Informat Sci & Engn Jinan 250358 Peoples R China Qilu Univ Technol Shandong Acad Sci State Key Lab Biobased Mat & Green Papermaking Jinan 25035 Peoples R China

In the process of animal leather processing, the surface damage of wet-blue hides restricts the quality of leather products. To ensure the efficiency and quality of animal leather processing, a lightweight model for detecting surface defects on wet-blue hides based on optimized YOLOv5s is proposed. The new model adopts the lightweight EfficientNetV2 network to extract surface defect features and incorporates a spatial pyramid pooling fast (SPPF) structure at the end of the network to obtain features at different scales. Efficient multi-scale attention (EMA) was embedded in the bottom-up structure of the Neck section to achieve comprehensive feature extraction and retention, ensuring that spatial semantic features are adequately distributed in each feature. A dataset of wet-blue hide defects was constructed and used to verify the performance of the new model. the experimental results show that, the new model is superior to the commonly used classical detection models. The precision rates for detecting three types of leather surface defects, namely imprint, puncture, and breakage, are 86.5%, 95.3%, and 87.9%, respectively. These results can provide technical support for research of surface damage detection in other leather processing applications.

关键词： Surface defects

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新加坡华社的语言焦虑和多语制

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中国语言战略 2024年第1期11卷 164-174页

作者：曹栌文包智明新加坡国立大学人文社科学院英语系新加坡117570

新加坡是一个多种族、多语言的城市国家。1965年独立后,新加坡政府对传统语言的功能做了明确的界定:华语(普通话)、马来语和淡米尔语是母语,马来语是国语,英语是工作语言。政府的语言政策造就了一个以英语为主的多文化、双语言的社区,... 详细信息

新加坡是一个多种族、多语言的城市国家。1965年独立后,新加坡政府对传统语言的功能做了明确的界定:华语(普通话)、马来语和淡米尔语是母语,马来语是国语,英语是工作语言。政府的语言政策造就了一个以英语为主的多文化、双语言的社区,两项语言政策产生深远的影响。一、用英语作为所有学校的教学语言,将所有华校转为英校;二、在华社中推广华语,鼓励少说方言,传统的闽南、粤、客家方言渐渐地边缘化。短短60年间,新加坡华人逐渐放弃方言,转而使用英语和华语。本文从历史角度描述这一双重语言转移的过程,以及表现在语言选择、语言认同、语言自信等方面的语言焦虑。语言焦虑是多文化、多语言社会的自然衍生物。

关键词：焦虑语言政策语言转移多文化多语言多种族

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Effect of ultrasonic surface rolling on the surface morphology and hardness of dual-phase LZ91 alloy

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MATERIALS SCIENCE AND TECHNOLOGY 2025年

作者： Huang, Zeyu Hu, luwen Fang, Xiaoying cao, Zhi Yang, Huimin Wei, Guobing Xue, Zhang Chongqing Univ Coll Mat Sci & Engn Chongqing 400044 Peoples R China Chongqing Univ Natl Engn Res Ctr Magnesium Alloys Chongqing Peoples R China Chongqing Univ Int Joint Lab Light Alloys MOE Chongqing Peoples R China Chongqing Univ Natl Key Lab Adv Casting Technol Chongqing Peoples R China

Dual-phase Mg-Li alloys are promising for industrial applications due to their low density and superior plasticity, but their low hardness limits performance under high-stress conditions. This study employed ultrasonic surface rolling processing (USRP) to enhance the surface properties of the dual-phase LZ91 alloy. The effects of USRP on surface morphology, microstructure, and hardness were systematically investigated. Results showed that USRP generated a similar to 400 mu m gradient surface layer. TEM revealed grain refinement to similar to 300 nm in both beta-Li and alpha-Mg phases. Surface hardness increased from 52.7 HV to 82.6 HV (56.7% improvement) under identical loading. These findings demonstrate that USRP effectively strengthens the LZ91 alloy by refining grains and forming gradient structures.

关键词： ultrasonic surface rolling process dual-phase Mg-Li alloy microstructure surface hardness gradient structure

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PANoptosis: A Cell Death Characterized by Pyroptosis, Apoptosis, and Necroptosis

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JOURNAL OF INFLAMMATION RESEARCH 2023年 16卷 1523-1532页

作者： Shi, Chunxia cao, Pan Wang, Yukun Zhang, Qingqi Zhang, Danmei Wang, Yao Wang, luwen Gong, Zuojiong Wuhan Univ Dept Infect Dis Renmin Hosp Wuhan Peoples R China Wuhan Univ Dept Infect Dis Renmin Hosp 238 Jiefang Rd Wuhan 430060 Peoples R China

PANoptosis is a new cell death proposed by Malireddi et al in 2019, which is characterized by pyroptosis, apoptosis and necroptosis, but cannot be explained by any of them alone. The interaction between pyroptosis, apoptosis and necroptosis is involved in PANoptosis. In this review, from the perspective of PANoptosis, we focus on the relationship between pyroptosis, apoptosis and necroptosis, the key molecules in the process of PANoptosis and the formation of PANoptosome, as well as the role of PANoptosis in diseases. We aim to understand the mechanism of PANoptosis and provide a basis for targeted intervention of PANoptosis-related molecules to treat human diseases.

关键词： PANoptosis pyroptosis apoptosis necroptosis

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Hybrid positioning solution combining 5G, bluetooth, and terminal motion sensor 5

Hybrid positioning solution combining 5G, bluetooth, and ter...

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2023 5th International Conference on Information Science, Electrical, and Automation Engineering, ISEAE 2023

作者： Liang, Yujie Li, luwen Pang, Tao cao, Peng Zhu, Xianfei Research Institute of Mobile and Terminal Technology Research Institute of China Telecom Guangzhou510630 China

ISBN: (纸本)9781510667440

The integrated construction of Bluetooth positioning network and 5G digital indoor division system can share power, transmission and other resources, which is convenient for deployment and maintenance, and provides high-accuracy indoor positioning capability for various types of terminals such as smart phones and Bluetooth tags. In this paper, we analyzing the key issues of 5G/Bluetooth AoA hybrid positioning, and propose a hybrid positioning solution of 5G/Bluetooth AoA/terminal motion sensor, effectively improves the positioning accuracy and applicable scenario through complementarity of positioning technology. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Bluetooth

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Inhibition of Mitochondrial Succinate Dehydrogenase with Dimethyl Malonate Promotes M2 Macrophage Polarization by Enhancing STAT6 Activation

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INFLAMMATION 2025年 1-15页

作者： He, Chaowen Chen, Pengfei Ning, luwen Huang, Xiuping Sun, Huimin Wang, Yuanyuan Zhao, Yanli Zeng, Changchun Huang, Dongsheng Gao, Hanchao cao, Mengtao Shenzhen Longhua Dist Cent Hosp Dept Resp Med Shenzhen 518110 Peoples R China Shenzhen Univ Affiliated Hosp 1 Shenzhen Peoples Hosp 2 Hlth Sci Ctr Shenzhen Peoples R China Shenzhen Longhua Dist Cent Hosp Dept Nephrol Shenzhen Longhua Dist Key Lab Diag & Treatment Chr Shenzhen 518110 Peoples R China

Macrophages exhibit diverse phenotypes depending on environment status, which contribute to physiological and pathological processes of immunological diseases, including sepsis, asthma, multiple sclerosis and colitis. The alternative activation of macrophages is tightly regulated to avoid excessive activation and damage of tissues and organs. Certain works characterized that succinate dehydrogenase (SDH) altered function of macrophages and promoted inflammatory response in M1 macrophages via mitochondrial reactive oxygen species (ROS). However, the effect of succinate dehydrogenase on M2 macrophage polarization remains incompletely understood. We employed dimethyl malonate (DMM) to inhibit succinate dehydrogenase activity and took use of RNA-seq to analyze the changes of inflammatory response of LPS-activated M1 macrophages or IL 4-activated M2 macrophages. Our data revealed that inhibition of SDH with DMM increased expression of M2 macrophages-associated signature genes, including Arg1, Ym1 and Mrc1. Consistent with previous work, we also observed that inhibition of SDH decreased the expression of IL-1 beta and enhanced the levels of IL-10 in M1 macrophages. Additionally, inhibition of SDH with DMM inhibited the production of chemokines, such as Cxcl3, Cxcl12, Ccl20 and Ccl9. DMM also amplified the M2 macrophages-related signature genes in IL-13-activated M2 macrophages. Mechanistic studies revealed that DMM promoted M2 macrophages polarization through mitochondrial ROS dependent STAT6 activation. Blocking ROS with mitoTEMPO or inhibiting STAT6 activation with ruxolitinib abrogated the promotion effect of DMM on M2 macrophages. Finally, dimethyl malonate treatment promoted peritoneal M2 macrophages differentiation and exacerbated OVA-induced allergy asthma in vivo. Collectively, we identified SDH as a braker to suppress M2 macrophage polarization via mitochondrial ROS, suggesting a novel strategy to treatment of M2 macrophages-mediated inflammatory diseases.

关键词： Succinate dehydrogenase M2 macrophage polarization JAK-STAT6 pathway Asthma

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