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Elevational patterns of warming effects on plant community and topsoil properties: focus on subalpine meadows ecosystem

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Journal of Mountain Science 2024年第1期21卷 146-159页

作者： HAO Aihua LUO Zhengming chen xiaojiang Department of Geography Xinzhou Normal UniversityXinzhou 034000China Department of Biological Sciences Xinzhou Normal UniversityXinzhou 034000China

Climate warming profoundly affects plant biodiversity, community productivity, and soil properties in alpine and subalpine grassland ecosystems. However, these effects are poorly understood across elevational gradients in subalpine meadow ecosystems. To reveal the elevational patterns of warming effects on plant biodiversity, community structure, productivity, and soil properties, we conducted a warming experiment using open-top chambers from August 2019 to August 2022 at high(2764 m a. s. l.), medium(2631 m a. s. l.), and low(2544 m a. s. l.) elevational gradients on a subalpine meadow slope of Mount Wutai, Northern China. Our results showed that three years of warming significantly increased topsoil temperature but significantly decreased topsoil moisture at all elevations(P<0.05), and the percentage of increasing temperature and decreasing moisture both gradually raised with elevation lifting. Warming-induced decreasing proportions of soil organic carbon(SOC, by 19.24%), and total nitrogen(TN, by 24.56%) were the greatest at high elevational gradients. Experimental warming did not affect topsoil C: N, p H, NO_(3)^(-)-N, or NH_(4)^(+)-N at the three elevational gradients. Warming significantly increased species richness(P<0.01) and Shannon-Weiner index(P<0.05) at low elevational gradients but significantly decreased belowground biomass(P<0.05) at a depth of 0–10 cm at three elevational gradients. Warming caused significant increases in the aboveground biomass in the three elevational plots. Warming significantly increased the aboveground biomass of graminoids in medium(by 92.47%) and low(by 98.25%) elevational gradients, that of sedges in high(by 72.44%) and medium(by 57.16%) elevational plots, and that of forbs in high(by 75.88%), medium(by 34.38%), and low(by 74.95%) elevational plots. Species richness had significant linear correlations with SOC, TN, and C: N(P<0.05), but significant nonlinear responses to soil temperature and soil moisture in the warmed treatm

关键词： Warming effect Plant diversity pattern Community structure change Elevation gradient Alpine meadow ecosystem Mount Wutai

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常温下三卡因和丁香酚对条纹小鲃的麻醉效果研究

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水产科学 2024年第1期43卷 144-151页

作者：宋霖陈小江高鹏江苏农牧科技职业学院江苏泰州225300

为提高条纹小鲃在常温下养殖生产操作及运输中的存活率,将野外采集的条纹小鲃经循环水暂养驯化14 d,在水温(25.0±0.5)℃下,开展三卡因和丁香酚对体质量(0.28±0.09)g条纹小鲃的有效麻醉试验:分别经质量浓度为140 mg/L的三卡因、质量浓... 详细信息

为提高条纹小鲃在常温下养殖生产操作及运输中的存活率,将野外采集的条纹小鲃经循环水暂养驯化14 d,在水温(25.0±0.5)℃下,开展三卡因和丁香酚对体质量(0.28±0.09)g条纹小鲃的有效麻醉试验:分别经质量浓度为140 mg/L的三卡因、质量浓度为25 mg/L的丁香酚深度麻醉后的离水暴露试验,分别经质量浓度为10 mg/L的三卡因、质量浓度为8 mg/L的丁香酚镇静后的模拟运输试验,探讨常温下不同操作目的2种麻醉剂的应用效果。试验结果显示,三卡因和丁香酚麻醉条纹小鲃的有效质量浓度分别为100~140 mg/L、20~30 mg/L。经质量浓度140 mg/L三卡因、质量浓度25 mg/L丁香酚深度麻醉的条纹小鲃,在空气中分别暴露6、8 min内复苏率为100%。选择三卡因质量浓度10 mg/L、丁香酚质量浓度8 mg/L模拟运输,48 h内均以鱼水质量比1∶15效果最佳;如运输72 h,可使用三卡因麻醉,以鱼水质量比1∶20效果最佳,存活率达90.74%。试验结果表明,三卡因和丁香酚均对条纹小鲃有良好的麻醉效果,在实际应用中应根据不同的操作目的并结合其他要素,选用合适的麻醉质量浓度。

关键词：条纹小鲃三卡因丁香酚麻醉

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基于人工智能算法的作业现场人员设备资质识别技术研究

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电测与仪表 2024年第8期61卷 84-89,110页

作者：陈晓江龙震岳曾纪钧广东电网有限责任公司广州510600

针对不具备检修资质的人员误入检修现场和现场检修人员难以近距离查看设备铭牌的问题,研究了基于人工智能算法的作业现场人员设备资质识别技术。针对现场作业中的设备和人员分别采用不同的文本检测技术和人脸识别技术,展开设备、人员的... 详细信息

针对不具备检修资质的人员误入检修现场和现场检修人员难以近距离查看设备铭牌的问题,研究了基于人工智能算法的作业现场人员设备资质识别技术。针对现场作业中的设备和人员分别采用不同的文本检测技术和人脸识别技术,展开设备、人员的资质识别技术研究。文本识别将融合连接文本提议网络(connectionist text proposal network,CTPN)、密集连接卷积网络(dense convolutional network,DenseNet)和连接时序分类(connectionist temporal classification,CTC)算法组合,并设计文本训练模型,提升文本识别率。人脸识别基于OpenCV平台,利用图像预处理和人脸目标算法实现人脸识别,从人脸数据采集、人脸数据训练、人脸检测与识别实现三个方面训练人脸识别的准确性。最后,通过实际应用证明了设备铭牌检测和人脸识别的准确性。

关键词：文本检测人脸识别人工智能模型训练

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混合BERT和宽度学习的低时间复杂度短文本分类

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山东大学学报（工学版） 2024年第4期54卷 51-58,66页

作者：陈晓江杨晓奇陈广豪刘伍颖广东开放大学揭阳分校信息科广东揭阳522095 广东外语外贸大学信息科学与技术学院广东广州510006 广州软件学院软件工程系广东广州510990 鲁东大学山东省语言资源开发与应用重点实验室山东烟台264025 广东外语外贸大学外国语言学及应用语言学研究中心广东广州510420

针对短文本分类任务效率低下和精度不高的问题,提出混合基于Transformer的双向编码器表示和宽度学习分类器(hybrid bidirectional encoder representations from transformer and broad learning, BERT-BL)的高效率和高精度文本分类模型。对基于Transformer的双向编码器表示(bidirectional encoder representation from transformer, BERT)进行微调以更新BERT的参数。使用微调好的BERT将短文本映射成对应的词向量矩阵,将词向量矩阵输入宽度学习(broad learning, BL)分类器中以完成分类任务。试验结果显示,BERT-BL模型在3个公共数据集上的准确率均达到最优;所需要的时间仅为基线模型支持向量机(support vector machine, SVM)、长短期记忆网络(long short-term memory, LSTM)、最小p范数宽度学习(minimum p-norm broad learning,p-BL)和BERT的几十分之一,而且训练过程不需要高性能显卡的参与。通过对比分析,BERT-BL模型不仅在短文本任务中具有良好的性能,而且能节省大量训练时间成本。

关键词：短文本分类 BERT-BL BERT 宽度学习高精度

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分期手术治疗颈内动脉闭塞伴椎基底动脉夹层动脉瘤1例报道并文献复习

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中华神经医学杂志 2024年第8期23卷 828-830页

作者：姜世豪夏源尼扎米丁江·热夏提成晓江买买提力·艾沙新疆医科大学第一附属医院神经外科中心乌鲁木齐830054 新疆医科大学护理学院乌鲁木齐830011

颈内动脉闭塞后会导致脑循环中的血流动力学发生变化,侧支循环代偿性开通以维持闭塞血管区域的灌注,由此导致的对侧支循环血流量的增加被认为是颈内动脉闭塞后动脉瘤形成的一个诱因。椎基底动脉夹层动脉瘤(vertebrobasilar dissecting a... 详细信息

颈内动脉闭塞后会导致脑循环中的血流动力学发生变化,侧支循环代偿性开通以维持闭塞血管区域的灌注,由此导致的对侧支循环血流量的增加被认为是颈内动脉闭塞后动脉瘤形成的一个诱因。椎基底动脉夹层动脉瘤(vertebrobasilar dissecting aneurysm,VBDA)是由于各种原因导致椎基底动脉的内膜和中膜撕裂,循环血液侵入内膜和中膜之间或中膜和外膜之间形成壁内血肿进而引起的动脉瘤样扩张,可能会导致蛛网膜下腔出血、后循环缺血及神经压迫等症状[1]。其自然预后较差,一旦破裂,70%以上的患者会发生后续再破裂,死亡率高达46.7%。新疆医科大学第一附属医院神经外科于2022年2月收治了1例颈内动脉闭塞伴发VBDA的患者,笔者现将该例患者的诊治经过报道如下,以期提高临床同道对这一类型疾病的认识。

关键词：颈内动脉闭塞椎基底动脉夹层动脉瘤颅内外血管搭桥术血流导向装置

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Learning-based user association and dynamic resource allocation in multi-connectivity enabled unmanned aerial vehicle networks

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Digital Communications and Networks 2024年第1期10卷 53-62页

作者： Zhipeng cheng Minghui Liwang Ning chen Lianfen Huang Nadra Guizani xiaojiang Du Department of Information and Communication Engineering Xiamen UniversityXiamen361005China School of Electrical and Computer Engineering University of Texas at ArlingtonArlingtonTX76019USA Department of Electrical and Computer Engineering Stevens Institute of TechnologyHobokenNJ07030USA

Unmanned Aerial Vehicles(UAvs)as aerial base stations to provide communication services for ground users is a flexible and cost-effective paradigm in ***,dynamic resource allocation and multi-connectivity can be adopted to further harness the potentials of UAVs in improving communication capacity,in such situations such that the interference among users becomes a pivotal disincentive requiring effective *** this end,we investigate the Joint UAV-User Association,Channel Allocation,and transmission Power Control(J-UACAPC)problem in a multi-connectivity-enabled UAV network with constrained backhaul links,where each UAV can determine the reusable channels and transmission power to serve the selected ground *** goal was to mitigate co-channel interference while maximizing long-term system *** problem was modeled as a cooperative stochastic game with hybrid discrete-continuous action space.A Multi-Agent Hybrid Deep Reinforcement Learning(MAHDRL)algorithm was proposed to address this *** simulation results demonstrated the effectiveness of the proposed algorithm and showed that it has a higher system utility than the baseline methods.

关键词： UAV-user association Multi-connectivity Resource allocation Power control Multi-agent deep reinforcement learning

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Structural basis for polyuridine tract recognition by SARS-CoV-2 Nsp15

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Protein & Cell 2024年第7期15卷 547-552页

作者： Fumiaki Ito Hanjing Yang Z.Hong Zhou xiaojiang S.chen Molecular and Computational Biology Department of Biological SciencesUniversity of Southern CaliforniaLos AngelesCA 90089United States Department of Microbiology Immunology and Molecular GeneticsUniversity of CaliforniaLos AngelesCA 90095United States California NanoSystems Institute University of CaliforniaLos AngelesCA90095United States Genetic Molecular and Cellular Biology ProgramKeck School of MedicineUniversity of Southern CaliforniaLos AngelesCA 90089United States Norris Comprehensive Cancer Center University of Southern CaliforniaLos AngelesCA 90089United States Center of Excellence in NanoBiophysics University of Southern CaliforniaLos AngelesCA 90089United States

Dear Editor,Coronaviruses have evolved a wide array of tactics to evade host antiviral *** host cells detect invading foreign nucleic acids including viral genome and viral replication intermediates,they activate interferon(IFN)signaling via cytoplasmic pattern recognition receptors(Kang et al.,2002;Kato et al.,2006).Remarkable stealth activities exhibited by coronaviruses are facilitated by a series of non-structural proteins(Nsps),such as Nsp15(Deng and Baker,2018;Deng et al.,2019;Hackbart et al.,2020),which is a uridine-specific endoribonuclease that mediates evasion of host detection of viral double-stranded RNA(dsRNA)(Bhardwaj et al.,2004;Deng et al.,2017;Frazier et al.,2021;Ivanov et al.,2004).Nsp15 targets a polyuridine[poly(U)]tract on the coronavirus negative strand RNA(Hackbart et al.,2020).Nsp15 limits the abundance and length of poly(U)within the negative strand RNA 5ʹ-extension by trimming down the initially synthesized poly(U)lead sequence to the optimal length that can suppress dsRNA formation but still serves as a template for poly(A)tail of the positive strand genome of the coronaviruses(Hofmann and Brian,1991).

关键词： p15 interferon template

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Squeeze and Excitation Convolution with Shortcut for Complex Plasma Image Recognition

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Computers, Materials & Continua 2024年第8期80卷 2221-2236页

作者： Baoxia Li Wenzhuo chen xiaojiang Tang Shaohuang Bian Yang Liu Junwei Guo Dan Zhang Feng Huang College of Information and Electrical Engineering China Agricultural UniversityBeijing100083China College of Science China Agricultural UniversityBeijing100083China

Complex plasma widely exists in thin film deposition,material surface modification,and waste gas treatment in industrial plasma *** complex plasma discharge,the configuration,distribution,and size of particles,as well as the discharge glow,strongly depend on discharge ***,traditional manual diagnosis methods for recognizing discharge parameters from discharge images are complicated to operate with low accuracy,time-consuming and high requirement of *** solve these problems,by combining the two mechanisms of attention mechanism(strengthening the extraction of the channel feature)and shortcut connection(enabling the input information to be directly transmitted to deep networks and avoiding the disappearance or explosion of gradients),the network of squeeze and excitation convolution with shortcut(SECS)for complex plasma image recognition is proposed to effectively improve the model *** results show that the accuracy,precision,recall and F1-Score of our model are superior to other models in complex plasma image recognition,and the recognition accuracy reaches 97.38%.Moreover,the recognition accuracy for the Flowers and Chest X-ray publicly available data sets reaches 97.85%and 98.65%,respectively,and our model has *** study shows that the proposed model provides a new method for the diagnosis of complex plasma images and also provides technical support for the application of plasma in industrial production.

关键词： Image recognition complex plasmas deep learning

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Physical activity and cancer risk:a dose-response analysis for the Global Burden of Disease Study 2019

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Cancer Communications 2023年第11期43卷 1229-1243页

作者： Xiayao Diao Yudong Ling Yi Zeng Yueqian Wu Chao Guo Yukai Jin xiaojiang chen Shoucheng Feng Jianrong Guo Chao Ding Feiyu Diao Zhicheng Du Shanqing Li Haibo Qiu Department of Thoracic Surgery Peking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingP. R. China Department of Gastric Surgery Sun Yat-sen University Cancer CenterGuangzhouGuangdongP. R. China Department of Medical Statistics School of Public HealthSun Yat-sen UniversityGuangzhouGuangdongP. R. China Department of General Surgery Sun Yat-sen Memorial HospitalSun Yat-sen UniversityGuangzhouGuangdongP. R. China

Objective Adopting a healthy lifestyle,including regular physical activity,is widely believed to decrease cancer *** study aimed to quantitatively establish the dose-response relationships between total physical activity and the risk of breast,colon,lung,gastric,and liver *** A systematic review and dose-response analysis were conducted using PubMed and Embase from January 1,1980 to March 20,*** cohort studies that examined the association between physical activity and the risks of any of the 5 outcomes were *** search was confined to publications in the English language with a specific focus on human *** activity is standardized by using the data from US National Health and Nutrition Examination Surveys(NHANES)and the Global Burden of Disease 2019 *** A total of 98 studies,involving a combined population of 16,418,361 individuals,were included in the *** the included studies,57 focused on breast cancer,17 on lung cancer,23 on colon cancer,5 on gastric cancer,and 7 on liver ***,elevated levels of physical activity exhibited an inverse correlation with the risk of *** dose-response curve for lung cancer exhibited a non-linear pattern,with the greatest benefit risk reduction observed at 13,200 MET-minutes/week of physical activity,resulting in a 14.7%reduction in risk(relative risk 0.853,uncertainty interval 0.798 to 0.912)compared to the inactive *** contrast,the dose-response curves for colon,gastric,breast,and liver cancers showed linear associations,indicating that heightened levels of total physical activity were consistently associated with reduced cancer ***,the increase in physical activity yielded a smaller risk reduction for colon and gastric cancers compared to breast and liver *** to individuals with insufficient activity(total activity level<600 MET-minutes/week),individuals with high levels of activity(≥8,000 MET-minutes/week)ex

关键词： cancer risk dose-response analysis Global Burden of Disease physical activity

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Prognostic nutritional index is an independent prognostic factor for gastric cancer patients with peritoneal dissemination

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Chinese Journal of Cancer Research 2016年第6期28卷 570-578页

作者： Runcong Nie Shuqiang Yuan Shi chen xiaojiang chen Yongming chen Baoyan Zhu Haibo Qiu Zhiwei Zhou Junsheng Peng Yingbo chen Sun Yat-sen University Cancer Center State Key Laboratory of Oncology in South China Collaborative Innovation Center for Cancer Medicine Department of Gastrointestinal Surgery the Sixth Affiliated Hospital Sun Yat-sen University

Objective： The predictive and prognostic role of prognostic nutritional index（PNI） in gastric cancer patients with peritoneal dissemination remains unclear. This study aims to explore the role of the PNI in predicting outcomes of gastric cancer patients with peritoneal ***： A total of 660 patients diagnosed with gastric adenocarcinoma with peritoneal metastasis between January 2000 and April 2014 at Sun Yat-sen University Cancer Center and the Sixth Affiliated Hospital of Sun Yatsen University were retrospectively analyzed. The clinicopathologic characteristics and clinical outcomes of patients with peritoneal dissemination were ***： Compared with PNI-high group, PNI-low group was correlated with advanced age（P=0.036）, worse performance status（P0.001）, higher frequency of ascites（P0.001） and higher frequency of multisite distant metastasis（P0.001）. Kaplan-Meier survival curves showed that PNI-high group had a significantly longer median overall survival than PNI-low group（13.13 vs. 9.03 months, P0.001）. Multivariate survival analysis revealed that Borrmann type IV（P=0.014）, presence of ascites（P=0.017） and lower PNI（P=0.041） were independent poor prognostic factors, and palliative surgery（P0.001） and first-line chemotherapy（P0.001） were good prognostic factors. For patients receiving palliative surgery, the postoperative morbidity rates in the PNI-low group and PNIhigh group were 9.1% and 9.9%, respectively（P=0.797）. The postoperative mortality rate was not significantly different between PNI-low and PNI-high groups（2.3% vs. 0.9%, P=0.362）.Conclusions： PNI is a useful and practical tool for evaluating the nutritional status of gastric cancer patients with peritoneal dissemination, and is an independent prognostic factor for these patients.

关键词： Prognostic nutritional index(PNI) gastric cancer peritoneal dissemination survival

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