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Fractal evolution characteristics of fracture meso-damage in uniaxial compression rock masses using bonded block model

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SCIENTIFIC REPORTS 2024年第1期14卷 1-20页

作者： Lan, Ming he, Yan Wang, Chunlong Liu, Xingquan Ren, Guoqing Zhang, shuwen Shandong Gold Grp Co Ltd Deep Min Lab Yantai 261400 Shandong Peoples R China Univ South China Sch Resource Environm & Safety Engn Hengyang 421000 Hunan Peoples R China CCFEB Civil Engn Co Ltd Changsha 410004 Peoples R China

With regard to deep mining in metal mines, an investigation into the failure mode of deep fractured rock masses and their corresponding acoustic emission signal characteristics is conducted via uniaxial compression tests. Subsequently, a fractal damage renormalization group mechanical model is developed to explain the behavior of those fractured rock masses. Employing the bonded block model (BBM) numerical simulation method, fracture process in synthetic rock samples is analyzed, thereby validating the efficacy of the mechanical model. The numerical simulations highlight the critical role of fractures expansion in underlying the deterioration of rock mass strength. As the peak load decreases, the fracture fractal dimension increases, leading to a significant 14.2% reduction in compressive strength accompanied by an approximate 8.7% rise in average fracture fractal dimension. A comparative analysis of tetrahedral and voronoi block synthetic rock samples reveals the tetrahedral block samples exhibit a superior ability to depict the fracture behavior of fractured rock masses. Specifically, they offer a more accurate simulation of acoustic emission characteristics and failure modes. Furthermore, variations in the fracture fractal dimension with respect to the hole defect's position are observed, with the maximum value occurring along the vertical axis of the hole defect. This observation underscores the potential utility of visually monitoring deep rock fracture dynamics as an effective mean for quantitatively evaluating fracture damage and strength degradation in deep rock formations.

关键词： Fractured rock mass Uniaxial compression Fractal dimension Mesoscopic damage mechanical properties

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极谱法同时测定海水中的铜、镉、铅、锌

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化学分析计量 2019年第2期28卷 35-38页

作者：贺舒文刘莹薛伟峰中华人民共和国庄河海关辽宁庄河116400 中华人民共和国大窑湾海关大连116600

建立极谱法同时测定海水中铜、镉、铅、锌的含量。在10.0～35.0℃条件下,试样于–1.15 V恒压下电解,富集在汞电极上生成汞齐,并随电极电位的变化而发生氧化还原反应,产生电流,通过标准加入法进行定性和定量。铜、镉、铅、锌的检出限分别... 详细信息

建立极谱法同时测定海水中铜、镉、铅、锌的含量。在10.0～35.0℃条件下,试样于–1.15 V恒压下电解,富集在汞电极上生成汞齐,并随电极电位的变化而发生氧化还原反应,产生电流,通过标准加入法进行定性和定量。铜、镉、铅、锌的检出限分别为0.64,0.14,0.17,2.0μg/L,定量限分别为2.5,0.50,0.50,10.0μg/L。样品加标回收率为80.4%～106.0%,测定结果的相对标准偏差为0.43%～6.09%(n=6)。该法具有操作简便、抗干扰性能强、灵敏度高等特点,能够满足海水中铜、镉、铅、锌的监测要求。

关键词：极谱法海水铜镉铅锌

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NOVEL [3.3.1] BICYCLO COMPOUNDS AS INDOLEAMINE 2,3-DIOXYGENASE INHIBITORS

NOVEL [3.3.1] BICYCLO COMPOUNDS AS INDOLEAMINE 2,3-DIOXYGENA...

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作者： he, shuwen HAN, Yongxin PASTERNAK, Alexander

标准号: WO2019/231871(A1)

Disclosed herein are compounds of formula (I) which are inhibitors of an IDO enzyme: (I). Also disclosed herein are uses of the compounds in the potential treatment or prevention of an IDO-associated disease or disorder. Also disclosed herein are compositions comprising these compounds. Further disclosed herein are uses of the compositions in the potential treatment or prevention of an IDO-associated disease or disorder.

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Hydroxyapatite microspheres encapsulated within hybrid hydrogel promote skin regeneration through the activation of Calcium Signaling and Motor Protein pathway

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BIOACTIVE MATERIALS 2025年 50卷 287-304页

作者： Liu, Shuo Song, Lu Huang, shuwen Liu, Zhanhong Xu, Yang Wang, Zhiyuan Qiu, he Wang, Jing Chen, Zhiru Xiao, Yumei Wang, Hang Zhu, Xiangdong Zhang, Kai Zhang, Xingdong Lin, Hai Sichuan Univ Coll Biomed Engn Natl Engn Res Ctr Biomat Chengdu 610064 Peoples R China Sichuan Univ Inst Regulatory Sci Med Devices Chengdu 610064 Peoples R China Sichuan Univ Res Ctr Mat Genome Engn Chengdu 610064 Peoples R China Sichuan Univ Hlth & West China Hosp 4 West China Sch Publ Dept Cosmet & Plast Surg Chengdu Sichuan Peoples R China Sichuan Univ West China Hosp Stomatol Natl Clin Res Ctr Dept Cosmet & Plast Surg Oral & Maxillofacial Surg Chengdu 610041 Peoples R China Sichuan Univ Key Lab Leather Chem & Engn Minist Educ Chengdu 610065 Peoples R China

Hydroxyapatite (HAp), traditionally recognized for its efficacy in bone regeneration, has rarely been explored for skin regeneration applications. This investigation explored HAp microspheres with distinct physicochemical properties tailored away from conventional bone regeneration parameters, and the capacity promoting skin regeneration and mitigating the aging process were investigated when encapsulated in hyaluronate hydrogels. By benchmarking against well-established dermal fillers like PMMA and PLLA, it was revealed the specific attributes of HAp that were conducive to skin regeneration, providing initial insights into the underlying mechanism. HAp enhanced the fibroblast functionality by triggering minimal adaptive immune responses and enhancing the Calcium Signaling and Motor Protein Signaling pathways. This modulation supported the production of normal collagen fibers, essential for ECM maturation and skin structural integrity. The significant ECM regeneration and remodeling capabilities exhibited by the HAp-encapsulated hybrid hydrogels suggested promising application in facial rejuvenation procedures, potentially making a breakthrough in aesthetic and reconstructive surgery.

关键词： Hydroxyapatite Regeneration Calcium signaling Motor protein

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牙轮钻头密封试验技术研究及密封圈性能评价

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工程设计学报 2024年第3期31卷 383-392页

作者：况雨春何鹏何璟彬魏琦周姝文董宗正西南石油大学机电工程学院四川成都610500 川庆钻探工程有限公司长庆钻井总公司陕西西安710018 成都吉锐时代触摸技术有限公司四川成都610041 国家石油天然气管网集团有限公司重庆天然气管道有限责任公司重庆408000

牙轮钻头在深井钻进时会受到高温、高压、摩擦以及腐蚀等多个因素的共同作用,直接影响密封圈的使用寿命,进而影响钻头寿命。为此,进行了牙轮钻头密封试验技术研究。首先,设计了牙轮钻头密封试验机,设计了试验机各功能模块;其次,对O形橡... 详细信息

牙轮钻头在深井钻进时会受到高温、高压、摩擦以及腐蚀等多个因素的共同作用,直接影响密封圈的使用寿命,进而影响钻头寿命。为此,进行了牙轮钻头密封试验技术研究。首先,设计了牙轮钻头密封试验机,设计了试验机各功能模块;其次,对O形橡胶密封圈和径向对称扁平橡胶密封圈在多因素影响下的密封性能进行了有限元分析,同时结合接触应力评判准则和von Mises准则对密封圈性能进行了评价和对比;最后,进行了密封圈在多因素作用下的寿命测试实验,并将实验结果与仿真结果进行了对比。实验结果验证了试验机进行牙轮钻头密封试验的可行性及可靠性。所设计的牙轮钻头密封试验机能预测牙轮钻头密封圈的使用寿命,具有广阔的工程应用前景。

关键词：牙轮钻头密封试验技术密封圈性能评价寿命测试

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Ship-Radiated Noise Recognition Based on Swin-Transformer

Ship-Radiated Noise Recognition Based on Swin-Transformer

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IEEE International Conference on Information Communication and Signal Processing (ICICSP)

作者： Yingjian Liu Zhengyao he Shuchang Zhang shuwen Shi Bo Zhang School of Marine Science and Technology Northwestern Polytechnical University Xian P. R. China

ISBN: (数字)9798350355895

ISBN: (纸本)9798350355901

We propose a method for underwater object detection utilizing low frequency analysis and the recording spectrum (LOFAR) of ship-radiated noise, along with a hierarchical visual transformer improved by shifted windows. The LOFAR spectrum provides an intuitive representation of the time-frequency distribution of target signal energy, and the typical approach involves feature extraction using convolutional neural networks (CNNs). However, The limited receptive field of CNNs makes it difficult to capture global features such as color characteristics, texture features in the LOFAR spectra. Motivated by the inherent self-attention mechanism in Transformer models, we introduce the Swin Transformer model with the ability to capture global relationships. Building upon the traditional Transformer architecture, Swin Transformer incorporates the concept of feature extraction from convolutional neural networks and applies it to the task of obtaining multi-scale features of images in a hierarchical manner. By computing attention within shifted windows, it ensures that the computational complexity remains linear with respect to input image size. Moreover, employing the Shifted Window approach facilitates information propagation among different windows, significantly enhancing computational efficiency and the model's ability to capture global information. Therefore, we attempted to apply Swin Transformer to the recognition and classification of LOFAR spectra. Experimental results indicate that utilizing Swin Transformer for recognition comparable performance to using CNNs.

关键词： Visualization Time-frequency analysis Computational modeling Noise Object detection Transformers Feature extraction Windows Recording Convolutional neural networks

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Millisecond self-heating and quenching synthesis of Fe/carbon nanocomposite for superior reductive remediation

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APPLIED CATALYSIS B-ENVIRONMENT AND ENERGY 2024年 342卷

作者： Sun, Liming Wu, Xuan Jiao, Yubing Jia, Chao Teng, Tao Lin, Litao Yu, Fengbo he, Zhelin Gao, Jie Yan, shuwen Shi, Guosheng Ren, Zhiyong Jason Yang, Jinguang Zhang, Shicheng Zhu, Xiangdong Fudan Univ Dept Environm Sci & Engn Shanghai Tech Serv Platform Pollut Control & Resou Shanghai Key Lab Atmospher Particle Pollut & Preve Shanghai 200092 Peoples R China Chinese Acad Agr Sci Tobacco Res Inst Qingdao 266000 Peoples R China Shanghai Univ Shanghai Appl Radiat Inst State Key Lab Adv Special Steel Shanghai 200444 Peoples R China Princeton Univ Dept Civil & Environm Engn Princeton NJ 08544 USA Princeton Univ Andlinger Ctr Energy & Environm Princeton NJ 08544 USA Shanghai Inst Pollut Control & Ecol Secur Shanghai 200092 Peoples R China Shanghai Acad Environm Sci State Environm Protect Engn Ctr Urban Soil Contami Shanghai 200233 Peoples R China

Fe-0-based nanomaterials are extensively applied in environmental remediation, but their passivated oxide shell restricts deep application. However, efforts aimed at revitalizing Fe-oxide shells have shown limited success. here, we report a "faster win fast" approach by preferential carbon layer deposition in milliseconds to block Feoxide shell growth via carbon-assisted flash Joule heating (C-FJH) reaction. C-FJH induced ultra-high temperature and electric shock promoted reductive Fe formation and subsequently melted to a phase-fusional heterostructure (Fe-0/FeCl2). Therefore, theoretical calculation confirmed that electron delocalization effect of derived heterostructure promoted electron transfer. Synchronously, rapid self-heating/quenching rate (similar to 10(2) K/ms) realized a thin aromatic-carbon layer deposition to sustain both high stability and activity of reductive Fe. The channels of thin aromatic-carbon layer favored inward diffusion of pollutants, which facilitated the subsequent reduction. Accordingly, derived heterostructure and carbon layer jointly contributed to the boosted removal of multiple pollutants (including metal oxyanions, perfluorinated compounds, and disinfection by-products).

关键词： Fe-0 -based nanomaterials Flash Joule heating Reduction Oxide shell-free Environmental remediation

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Graph Convolution over the Semantic-syntactic Hybrid Graph Enhanced by Affective Knowledge for Aspect-level Sentiment Classification

Graph Convolution over the Semantic-syntactic Hybrid Graph E...

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) / IEEE World Congress on Computational Intelligence (IEEE WCCI) / International Joint Conference on Neural Networks (IJCNN) / IEEE Congress on Evolutionary Computation (IEEE CEC)

作者： Xu, Junjie Yang, shuwen Xiao, Luwei Fu, Zhichao Wu, Xingjiao Ma, Tianlong he, Liang East China Normal Univ Shanghai Peoples R China

ISBN: (数字)9781728186719

ISBN: (纸本)9781728186719

Aspect-level sentiment classification (ASC), detecting and predicting the sentiment polarity of the given aspects, has attracted increasing attention in the field of Natural Language Processing (NLP). Recent studies in ASC leveraged the graph based on the dependency tree of the context to incorporate the syntactic information and structure of a sentence for better relation extraction. Some researchers noted that existing methods ignored semantic relations or failed to consider affective dependency information, and then proposed several state-of-art methods tackling the above two limitations. However, these approaches failed to consider both informative relations simultaneously. Therefore, we explore and propose a novel solution based on semantic latent graph and SenticNet to leverage semantic and affective information. Specifically, we build a latent semantic graph based on self-attention networks to parse semantic relations within the contexts. In addition, we utilize affective knowledge from SenticNet to enhance the dependency graphs of sentences. Moreover, we use the gate mechanism to dynamically combine information from both the enhanced dependency graphs and latent semantic graphs. Experimental results on three benchmark datasets illustrate the effectiveness and state-of-the-art performance of our model.

关键词： Aspect-level sentiment classification semantic relations affective knowledge Graph convolutional networks

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Cross-modal fine-grained alignment and fusion network for multimodal-based sentiment

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INFORMATION PROCESSING & MANAGEMENT 2023年第6期60卷

作者： Xiao, Luwei Wu, Xingjiao Yang, shuwen Xu, Junjie Zhou, Jie he, Liang East China Normal Univ Sch Comp Sci & Technol Shanghai 200062 Peoples R China Fudan Univ Sch Comp Sci Shanghai 200433 Peoples R China

Multi-modal Aspect-based Sentiment Analysis (MABSA) aims to forecast the polarity of sentiment concerning aspects within a given sentence based on the correlation between the sentence and its accompanying image. Comprehending multi-modal sentiment expression requires strong cross-modal alignment and fusion ability. Previous state-of-the-art (SOTA) models fail to explicitly align valuable visual clues with aspect and sentiment information in textual representations and overlook the utilization of syntactic dependency information in the accompanying text modality. We present CoolNet (Cross-modal Fine-grained Alignment and Fusion Network) to boost the performance of visual-language models in seamlessly integrating vision and language information. Specifically, CoolNet starts by transforming an image into a textual caption and a graph structure, then dynamically aligns the semantic and syntactic information from both the input sentence and the generated caption, as well as models the object-level visual features. Finally, a cross-modal transformer is employed to fuse and model the inter-modality *** network boasts advanced cross-modal fine-grained alignment and fusion capabilities. On standard benchmarks such as Twitter-2015 and Twitter-2017, CoolNet consistently outperforms state-of-the-art algorithm FITE with notable improvements in accuracy and Macro-F1 values. Specifically, we observe an improvement in accuracy and Macro-F1 values by 1.43% and 1.38% for Twitter-2015, and 0.74% and 0.88% for Twitter-2017, respectively, demonstrating the superiority of our CoolNet architecture.

关键词： Cross-modal alignment and fusion Multi-modal sentiment analysis Aspect-based sentiment analysis Graph structure

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Pancreatic follicular dendritic cell sarcoma: a rare case report and systematic literature review of 7 cases

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WORLD JOURNAL OF SURGICAL ONCOLOGY 2023年第1期21卷 212-212页

作者： Li, Xu Gu, Jin he, Qingyun Han, shuwen Wu, Huichao Zunyi Med Univ Digest Dis Hosp Dept Gastroenterol Affiliated Hosp Zunyi Guizhou Peoples R China Zunyi Med Univ Dept Gen Surg Affiliated Hosp Zunyi Guizhou Peoples R China

IntroductionPancreatic follicular dendritic cell sarcoma (FDCS) is an exceptionally rare and low-to-moderate malignancy, with only seven reported cases to date. Clinical diagnosis of FDCS is challenging due to the lack of distinct biological and radiographic *** presentationA 67-year-old woman presented to the hospital with a 4-day history of severe abdominal pain. Imaging studies (CT and MRI) revealed a large cystic mass located at the tail of the pancreas, which was suspected to be myeloid sarcoma (MS) based on EUS and CT-guided pancreatic puncture. Postoperative pathology and immunohistochemistry confirmed the diagnosis of pancreatic FDCS. After the diagnosis was confirmed, the patient received postoperative chemotherapy with the CHOP regimen. At 11 months of follow-up, there was no evidence of recurrence. Seven published cases have been reviewed to comprehensively summarize the clinical characteristics, diagnosis, and treatment options of *** imaging can be useful in detecting pancreatic FDCS, it should be interpreted with caution as it can be challenging to differentiate from other pancreatic tumors. Pathology and immunohistochemistry are considered the gold standard for diagnosis, with CD21, CD23, and CD35 being specific tumor cell markers. However, preoperative diagnosis of pancreatic FDCS remains difficult, and the pancreatic puncture may further increase the risk of misdiagnosis. The disease is highly prone to recurrence and metastasis, and surgery is the preferred method for both diagnosis and treatment of localized disease.

关键词： Follicular dendritic cell sarcoma Pancreas CT MRI Diagnosis Treatment

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