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Revealing an Invasion Risk of Fish Species in Qingdao Underwater World by Environmental DNA Metabarcoding

Journal of Ocean University of China 2021年第1期20卷 124-136页

作者： CHEN Jianwei CHEN Zhi LIU Shanshan guo wenjie LI Di MINAMOTO Toshifumi GAO Tianxiang BGI-Qingdao BGI-ShenzhenQingdao 266555China College of Fisheries and Life Science Hainan Tropical Ocean UniversitySanya 572022China China National GeneBank BGI-ShenzhenShenzhen 518120China Qingdao Underwater World Qingdao 266003China Graduate School of Human Development and Environment Kobe UniversityKobe 657-8501Japan Fisheries College Zhejiang Ocean UniversityZhoushan 316022China

Environmental DNA(eDNA)metabarcoding has emerged as a potentially powerful tool to monitor invasive fish *** an alternative(or complementary)tool for biodiversity monitoring,e DNA metabarcoding had been used to detect species in aquariums,which represents an important transit avenue for introducing non-indigenous species with high population *** this study,eDNA metabarcoding as well as morphological characterization were used to reveal the diversity of non-indigenous species in a large aquarium at Qingdao Underwater *** DNA metabarcoding of 14 water samples at five locations from the Big Water Tank detected 24 non-indigenous species and four putative non-indigenous operational taxonomic units(OTUs).In contrast,only 20 non-indigenous species were observed by morphological *** species undetected by morphological characterization,such as Oreochromis niloticus(Linnaeus,1758),are highly adaptable to various environments and/or have invaded preferred regions where they threaten native aquatic *** metabarcoding also detected seven local fishes that were not identified by morphological ***,analysis of OTU diversity among stations and sample replications revealed that eDNA varied within and/or between *** sampling effort as well as negative controls are required to increase the detection rate of species and to eliminate false-positive OTUs.

关键词： eDNA metabarcoding fish diversity non-indigenous sampling effort aquarium

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Effect of lithium or aluminum substitution on the characteristics of graphite for anode of lithium ion batteries

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Rare Metals 2003年第4期22卷 280-284页

作者： guo Huajun, LI Xinhai, WANG Zhixing, PENG wenjie, and guo YongxingCollege of Metallurgical Science and Engineering, Central South University, Changsha 410083, China College of Metallurgical Science and Engineering Central South University Changsha 410083

Modification of graphite for anode of lithium ion batteries is *** of X-ray diffraction shows lithium and aluminum exists as Li compound (CH_3COOLi.2 H_2O) andAl compound (AlD_3) in the graphite, respectiovely. The Brunauer-Emmer-Teller (BET) surface area ofthe modified graphite increases. According to the electrochemical measurements of Li/C cell andprototype Li-ion batteries, the Li-doped graphite has large reversible capacity of 312.2 mA.h/g, lowirreversible capacity of 52.9 mA.h/g, and high initial coulombic efficiency of 85.51 percent. The063448 size prototype battery with Li-doped graphite anode has large discharge capacity of 845 *** good cycling performance. The initial charge/discharge characteristic of Al-doped graphite isclose to those of undoped graphite, but the prototype battery with Al-doped anode shows the bestcycling performance with capacity retention ratio of 94.06 percent at the 200 th cycle.

关键词： Battery graphite dope lithium aluminum

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高级别脑胶质瘤电场治疗同步放化疗的疗效评估

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中华放射肿瘤学杂志 2024年第4期33卷 307-313页

作者：王子璇宗丹朱焕锋王晓丁明君郭文杰郑佳俊何侠徐州医科大学研究生院徐州221000 南京医科大学附属肿瘤医院放疗科江苏省肿瘤医院南京210009 南京医科大学附属肿瘤医院影像中心江苏省肿瘤医院南京210009

目的探索肿瘤电场治疗(TTFields)同步放化疗治疗高级别脑胶质瘤患者的疗效与安全性。方法回顾性分析2021年9月至2023年5月江苏省肿瘤医院收治的38例明确诊断为高级别脑胶质瘤(按世界卫生组织标准Ⅳ级36例,Ⅲ级2例)患者的临床资料,所有... 详细信息

目的探索肿瘤电场治疗(TTFields)同步放化疗治疗高级别脑胶质瘤患者的疗效与安全性。方法回顾性分析2021年9月至2023年5月江苏省肿瘤医院收治的38例明确诊断为高级别脑胶质瘤(按世界卫生组织标准Ⅳ级36例,Ⅲ级2例)患者的临床资料,所有患者均在术后接受TTFields联合同步放化疗。按照神经肿瘤反应评价(RANO)标准判断肿瘤缓解、稳定或进展。按照不良事件通用术语5.0版标准和TTFields相关皮肤不良事件(dAE)分级标准记录不良事件。治疗依从性通过NovoTTF-200A治疗设备的使用数据进行评估,以每日TTFields使用时间的百分比计算。生存分析采用Kaplan-Meier法,采用log-rank检验进行比较。结果38例患者使用TTFields的中位治疗持续时间为19.2h(范围为2.4~22.6 h),中位治疗依从性为80%(范围为10.0%~94.0%)。为期42 d的TTFields同步放化疗后,12例行肿瘤完全切除患者的影像学表现均为疾病稳定。26例行肿瘤部分切除的患者中,23例(88%)评价为疾病缓解。7、10、13个月的无进展生存率分别为81.0%、64.0%、49.5%。TTFields相关dAE主要是1级(45%)和2级(8%),无3-4级;典型表现为接触性皮炎、水泡、皮损或溃疡、脓肿。中位随访时间10.0个月(范围为1.6~21.3个月),随访截至2023年7月,38例患者中26例稳定,12例进展(其中8例死亡)。结论初步结果显示高级别脑胶质瘤TTFields同步放化疗是有效的且安全可靠的。

关键词：神经胶质瘤肿瘤电场疗法临床疗效安全性

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超声SWE技术在甲状腺TI-RADS4类结节鉴别诊断中的应用价值

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临床医学 2024年第2期44卷 74-77页

作者：胡志江王丽丽屈昭慧郭文杰河南省濮阳市人民医院超声科 457000

目的分析超声剪切波弹性成像(SWE)在甲状腺TI-RADS4类结节鉴别诊断中的应用价值。方法纳入2022年1月至2023年6月在濮阳市人民医院诊治的97例甲状腺结节患者作为研究对象。入组患者均行常规超声或SWE技术诊断,以病理学检查为金标准,对常... 详细信息

目的分析超声剪切波弹性成像(SWE)在甲状腺TI-RADS4类结节鉴别诊断中的应用价值。方法纳入2022年1月至2023年6月在濮阳市人民医院诊治的97例甲状腺结节患者作为研究对象。入组患者均行常规超声或SWE技术诊断,以病理学检查为金标准,对常规超声与超声SWE技术鉴别诊断甲状腺结节良恶性的效能进行比较,并比较不同甲状腺结节良恶性分级的杨氏模量值,应用受试者工作特征(ROC)曲线分析超声SWE技术获取的杨氏模量值在甲状腺TI-RADS4类结节鉴别诊断中的效能。结果超声SWE技术鉴别诊断甲状腺结节良恶性的准确率和灵敏度高于常规超声(P0.05)。不同TI-RADS分类甲状腺结节患者的最大弹性值(Emax)、最小弹性值(Emin)、平均弹性值(Emean)比较差异有统计学意义(P<0.05),且经ROC曲线分析,Emax、Emin、Emean鉴别诊断甲状腺TI-RADS4类结节的效能良好(P<0.05)。结论超声SWE技术在甲状腺TI-RADS4类结节鉴别诊断中的诊断效能良好,可提高诊断的准确率,减少临床漏诊和误诊率。

关键词：超声剪切波弹性成像甲状腺TI-RADS4类结节

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合水地区Z183区块长7_(1)深水重力流储层宏观非均质性及影响因素

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石油工业技术监督 2024年第4期40卷 51-58页

作者：王春林魏钦廉章宏波郭文杰中国石油勃海钻探工程有限公司第二录井分公司河北任丘062550 西安石油大学地球科学与工程学院陕西西安710065 陕西省油气成藏地质学重点实验室陕西西安710065 中国石油长庆油田分公司第十二采油厂甘肃庆阳745400 中国石油长庆油田分公司第二采油厂甘肃庆阳745400

为解决致密储层开发中因非均质性造成的小层突进与平面舌进等问题,根据岩心、高压压汞、测井等资料,采用储层地质方法,从层内、层间与平面3个方面描述了合水地区Z183区块长7_(1)储层的宏观非均质性,并探讨其影响因素。结果表明,区块内存... 详细信息

为解决致密储层开发中因非均质性造成的小层突进与平面舌进等问题,根据岩心、高压压汞、测井等资料,采用储层地质方法,从层内、层间与平面3个方面描述了合水地区Z183区块长7_(1)储层的宏观非均质性,并探讨其影响因素。结果表明,区块内存在2类层内夹层,其中泥质夹层分布相对较广。区块内可识别4类砂体构型,间隔叠加厚砂—薄泥互层型分布最广。区块内砂质碎屑流成因砂体分布范围最广。研究区储层整体具有强非均质性,其物性变化主要受砂质碎屑流微相与压实作用的影响。

关键词：合水地区长7_(1)亚段致密砂岩深水重力流宏观非均质性

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Andrographolide sulfonate ameliorates lipopolysaccharide-induced acute lung injury in mice by down-regulating MAPK and NF-κB pathways

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Acta Pharmaceutica Sinica B 2016年第3期6卷 205-211页

作者： Shuang Peng Nan Hang Wen Liu wenjie guo Chunhong Jiang Xiaoling Yang Qiang Xu Yang Sun State Key Laboratory of Pharmaceutical Biotechnology School of Life Sciences Nanjing University Jiangxi Qingfeng Pharmaceutical Co. Ltd. State Key Laboratory of Innovative Nature Medicine and TCM Injections Jiangxi Qingfeng Pharmaceutical Co. Ltd.

Acute lung injury(ALI) or acute respiratory distress syndrome(ARDS) is a severe, lifethreatening medical condition characterized by widespread inflammation in the lungs, and is a significant source of morbidity and mortality in the patient population. New therapies for the treatment of ALI are desperately needed. In the present study, we examined the effect of andrographolide sulfonate, a water-soluble form of andrographolide(trade name: Xi-Yan-Ping Injection), on lipopolysaccharide(LPS)-induced ALI and inflammation. Andrographolide sulfonate was administered by intraperitoneal injection to mice with LPS-induced ALI. LPS-induced airway inflammatory cell recruitment and lung histological alterations were significantly ameliorated by andrographolide sulfonate. Protein levels of pro-inflammatory cytokines in bronchoalveolar lavage fluid(BALF) and serum were reduced by andrographolide sulfonate administration. m RNA levels of pro-inflammatory cytokines in lung tissue were also suppressed. Moreover, andrographolide sulfonate markedly suppressed the activation of mitogen-activated protein kinase(MAPK) as well as p65 subunit of nuclear factor-κB(NF-κB). In summary, these results suggest that andrographolide sulfonate ameliorated LPS-induced ALI in mice by inhibiting NF-κB and MAPK-mediated inflammatory responses. Our study shows that water-soluble andrographolide sulfonate may represent a new therapeutic approach for treating inflammatory lung disorders.

关键词： Andrographolide sulfonate Lipopolysaccharide Lung injury NF-κB MAPK Mouse

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An improved series expansion method on the multi-frequency analysis of acoustic boundary element

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Chinese Journal of Acoustics 2016年第3期35卷 241-254页

作者： MIAO Yuyue LI Tianyun ZHU Xiang guo wenjie School of Naval Architecture and Ocean Engineering Huazhong University of Science &Technology Hubei Key Laboratory of Naval Architecture & Ocean Engineering Hydrodynamics National Key Laboratory on Ship Vibration & Noise

For the multi-frequency acoustic analysis, a series expansion method has been introduced to reduce the computation time of the frequency-independent parts, but the Runge phenomenon will arise when this method is employed in high frequency band. Therefore, this method is improved by analyzing the application condition and proposing the selection principle of the series truncation number. The argument interval can be adjusted with the wavenumber factor. Therefore, the problem of unstable numeration and poor precision can be solved, and the application scope of this method is expanded. The numerical example of acoustic radiation shows that the improved method is correct for acoustic analysis in wider frequency band with less series truncation number and computation amount.

关键词： An improved series expansion method on the multi-frequency analysis of acoustic boundary element

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Alignment efficient image-sentence retrieval considering transferable cross-modal representation learning

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Frontiers of Computer Science 2024年第1期18卷 77-91页

作者： Yang YANG Jinyi guo Guangyu LI Lanyu LI wenjie LI Jian YANG School of Computer Science and Engineering Nanjing University of Science and TechnologyNanjing 210094China Department of Computing Hong Kong Polytechnic UniversityHong Kong 100872China State Key Lab.for Novel Software Technology Nanjing UniversityNanjing 210094China 14th Research Institute of China Electronics Technology Group Corporation Nanjing 210094China guangyu.li2017@***

Traditional image-sentence cross-modal retrieval methods usually aim to learn consistent representations of heterogeneous modalities,thereby to search similar instances in one modality according to the query from another modality in *** basic assumption behind these methods is that parallel multi-modal data(i.e.,different modalities of the same example are aligned)can be obtained in *** other words,the image-sentence cross-modal retrieval task is a supervised task with the alignments as ***,in many real-world applications,it is difficult to realign a large amount of parallel data for new scenarios due to the substantial labor costs,leading the non-parallel multi-modal data and existing methods cannot be used *** the other hand,there actually exists auxiliary parallel multi-modal data with similar semantics,which can assist the non-parallel data to learn the consistent ***,in this paper,we aim at“Alignment Efficient Image-Sentence Retrieval”(AEIR),which recurs to the auxiliary parallel image-sentence data as the source domain data,and takes the non-parallel data as the target domain *** single-modal transfer learning,AEIR learns consistent image-sentence cross-modal representations of target domain by transferring the alignments of existing parallel ***,AEIR learns the image-sentence consistent representations in source domain with parallel data,while transferring the alignment knowledge across domains by jointly optimizing a novel designed cross-domain cross-modal metric learning based constraint with intra-modal domain adversarial ***,we can effectively learn the consistent representations for target domain considering both the structure and semantic ***,extensive experiments on different transfer scenarios validate that AEIR can achieve better retrieval results comparing with the baselines.

关键词： image-sentence retrieval transfer learning semantic transfer structure transfer

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Surrounding rock classification from onsite images with deep transfer learning based on EfficientNet

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Frontiers of Structural and Civil Engineering 2024年第9期18卷 1311-1320页

作者： Xiaoying ZHUANG wenjie FAN Hongwei guo Xuefeng CHEN Qimin WANG Department of Geotechnical Engineering College of Civil EngineeringTongji UniversityShanghai 200092China Chair of Computational Science and Simulation Technology Institute of PhotonicsLeibniz University HannoverHannover 30167Germany Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education Tongji UniversityShanghai 200092China Guizhou Xingyi Huancheng Expressway Co. Ltd.Xingyi 562400China

This paper proposes an accurate,efficient and explainable method for the classification of the surrounding rock based on a convolutional neural network(CNN).The state-of-the-art robust CNN model(EfficientNet)is applied to tunnel wall image *** filtering,data augmentation and other data pre-processing techniques are used to improve the data quality and *** with transfer learning,the generality,accuracy and efficiency of the deep learning(DL)model are further improved,and finally we achieve 89.96%*** with other state-of-the-art CNN architectures,such as ResNet and Inception-ResNet-V2(IRV2),the presented deep transfer learning model is more stable,accurate and *** reveal the rock classification mechanism of the proposed model,Gradient-weight Class Activation Map(Grad-CAM)visualizations are integrated into the model to enable its explainability and *** developed deep transfer learning model has been applied to support the tunneling of the Xingyi City Bypass in the high mountain area of Guizhou,China,with great results.

关键词： surrounding rock classification convolutional neural network EfficientNet Gradient-weight Class Activation Map

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基于联合检测的多目标跟踪方法研究

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应用科技 2024年第2期51卷 8-16页

作者：郭文杰聂国豪王兴梅赵一霖哈尔滨工程大学计算机科学与技术学院黑龙江哈尔滨150001 哈尔滨工程大学水声技术全国重点实验室黑龙江哈尔滨150001

为了更好地应对多目标跟踪联合检测算法面对的场景遮挡问题,通过结合注意力机制,提出基于Transformer的运动预测和数据关联(Transformer-based motion prediction and data association,TrMPDA)联合检测跟踪方法。首先,考虑到置信度检... 详细信息

为了更好地应对多目标跟踪联合检测算法面对的场景遮挡问题,通过结合注意力机制,提出基于Transformer的运动预测和数据关联(Transformer-based motion prediction and data association,TrMPDA)联合检测跟踪方法。首先,考虑到置信度检测框的质量以及深度特征的视觉表示能力对遮挡场景下跟踪效果的影响,重新设计TrMPDA骨干网络中的ResNet卷积模块,利用相邻像素和长距离像素间丰富的上下文关系指导动态注意矩阵的学习,增强深度特征的视觉表示能力,并通过边界框的宽和高估计边界框位置,提高置信度检测框的质量。其次,在本文方法中保留所有的检测框,根据阈值大小划分高置信度检测框和低置信度检测框,分别执行数据关联匹配,以此来平衡由于遮挡导致的检测框低置信度。实验结果表明本文提出的TrMPDA方法与典型的Sort、JDE、Fairmot等多目标跟踪算法相比具有更好的跟踪效果,能够应对多目标跟踪中目标遮挡的问题。

关键词：运动预测注意力机制数据关联卡尔曼滤波目标遮挡动态注意矩阵联合检测多目标跟踪

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