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基于BERT和改进对抗训练的痛风病历分类方法

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计算机工程与设计 2024年第6期45卷 1668-1673页

作者：李胜煜王磊徐文畅贺玉伟李鑫德中国科学技术大学生物医学工程学院安徽合肥260026 中国科学院苏州生物医学工程技术研究所生物医学检验技术重点实验室江苏苏州215163 青岛大学附属医院山东省代谢性疾病重点实验室山东省免疫疾病与痛风临床医学研究中心山东青岛266000

为解决痛风电子病历文本稀疏性高、数据集小导致的分类任务准确率低问题,提出一种基于BERT预训练模型和改进对抗训练的痛风病历文本分类算法。使用中文生物医学语言预训练模型MC-BERT初始化病历文本,下接Text-CNN网络捕捉文本中不同长... 详细信息

为解决痛风电子病历文本稀疏性高、数据集小导致的分类任务准确率低问题,提出一种基于BERT预训练模型和改进对抗训练的痛风病历文本分类算法。使用中文生物医学语言预训练模型MC-BERT初始化病历文本,下接Text-CNN网络捕捉文本中不同长度的关键词信息,在模型训练过程中采用改进的对抗训练策略,在词嵌入中添加对抗性扰动提高模型的泛化性。实验结果表明,该算法可以提高中文痛风病历文本分类任务的精度,增强模型的鲁棒性。

关键词：痛风电子病历文本分类卷积神经网络对抗训练预训练模型词嵌入

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违约风险传染对中资美元债发行定价的影响

苏州大学学报（哲学社会科学版） 2024年第3期45卷 138-150页

作者：吴雄剑庞元晨李圣羽上海社会科学院世界经济研究所上海200023 安徽大学经济学院安徽230039 苏州国际发展集团有限公司江苏苏州215007

在中资美元债市场违约风险持续暴露的背景下,以2010—2022年的中资美元债为研究样本,考察同行业违约情况对中资美元债发行利差的影响。结果显示,债券发行前一年同行业每发生一次违约,则中资美元债发行利差会上升约4个BP;违约未偿金额每... 详细信息

在中资美元债市场违约风险持续暴露的背景下,以2010—2022年的中资美元债为研究样本,考察同行业违约情况对中资美元债发行利差的影响。结果显示,债券发行前一年同行业每发生一次违约,则中资美元债发行利差会上升约4个BP;违约未偿金额每上升1亿美元,则中资美元债发行利差会上升约1个BP。影响机制方面,同行业违约情况主要通过提高同行业其他企业的违约风险,从而增加中资美元债发行利差。分样本回归证明,对于原本违约风险更高的企业,比如非国有、非投资级以及无担保的债券,违约风险传染的效应更为显著,同行业违约情况对债券融资成本的影响更大。研究结论不仅丰富了违约风险传染的境外研究视角,也为境内监管部门把握外债风险情况提供了政策启示。

关键词：违约风险传染中资美元债发行定价

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新疆大气颗粒物污染时空演变及沙尘组分研究

中国环境科学 2024年第6期44卷 3012-3020页

作者：薛一波张小啸雷加强李生宇中国科学院新疆生态与地理研究所国家荒漠-绿洲生态建设工程技术研究中心新疆乌鲁木齐830011 中国科学院大学北京100049

利用2020~2022年新疆环境监测和同期气象要素数据,结合HYSPliT模式与PM_(2.5)/PM_(10)比值模型,探讨新疆颗粒物浓度的时空变化特征,并研究沙尘暴的主要输送路径、潜在源区及其对大气颗粒物浓度的贡献率.结果表明,新疆月均PM_(2.5)和PM_(... 详细信息

利用2020~2022年新疆环境监测和同期气象要素数据,结合HYSPliT模式与PM_(2.5)/PM_(10)比值模型,探讨新疆颗粒物浓度的时空变化特征,并研究沙尘暴的主要输送路径、潜在源区及其对大气颗粒物浓度的贡献率.结果表明,新疆月均PM_(2.5)和PM_(10)浓度变化呈波浪型分布,峰值出现在12~次年3月,最低值出现在6~8月;空间分布呈南高北低的特征,南疆年均PM_(2.5)和PM_(10)浓度分别为42~111,151~367μg/m^(3),北疆和东疆PM_(2.5)和PM_(10)浓度年均值相对较低,分别为10~62,21~110μg/m^(3)和28~50,100~145μg/m^(3);新疆69%的城市年均PM_(2.5)和PM_(10)浓度高于国家环境空气质量标准的二级浓度限值;大气PM_(2.5)和PM_(10)浓度呈显著正相关(R^(2)=0.84),春夏秋三季以PM_(10)污染为主,冬季以PM_(2.5)污染为主;PM_(10)是影响新疆空气质量的主要污染物,南疆AQI中PM_(10)贡献率为65%~96%,其次是东疆和北疆,分别为58%~65%和3%~41%;大气PM_(10)严重污染主要发生在春季,由PM_(10)造成南疆空气质量污染比重均在50%以上;塔克拉玛干沙漠是新疆沙尘暴灾害的主要沙源地;沙尘的高低空输送路径明显不同,高空传输主要源于沙漠腹地,而低空输沙源以沙漠东部为主;风蚀沙尘对大气PM_(10)和PM_(2.5)浓度的贡献率分别为85%和66%.

关键词：新疆 PM_(2.5) PM_(10) 时空变化沙尘组分空气质量数值模型

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基于冲击回转钻进的岩石强度随钻识别研究

岩土力学 2024年第3期45卷 857-866页

作者：刘勇斌张晓平李馨芳李德宏陈广军刘小波熊雪飞杨朗李玉生武汉大学土木建筑工程学院湖北武汉430072 中国铁建昆仑投资集团有限公司四川成都610040 四川蜀道高速公路集团有限公司四川成都610094 四川川黔高速公路有限公司四川成都646500 江西省交通投资集团有限责任公司江西南昌330025

在隧道掘进施工过程中,数字化钻孔过程监测(drillingprocessmonitoring,简称DPM)系统能够实时快速地获取岩石强度参数,及时指导现场开挖和支护作业。为实时获取隧道开挖掌子面前方的围岩强度,基于搭载于气动冲击回转钻机上的数字化DPM... 详细信息

在隧道掘进施工过程中,数字化钻孔过程监测(drillingprocessmonitoring,简称DPM)系统能够实时快速地获取岩石强度参数,及时指导现场开挖和支护作业。为实时获取隧道开挖掌子面前方的围岩强度,基于搭载于气动冲击回转钻机上的数字化DPM系统地开展现场原位数字钻进试验。通过对钻孔全过程的推进压力、回转压力、冲击压力以及钻杆位移等钻进参数进行实时监测、记录和分析,得到了不同钻孔过程的钻进参数特征,据此对各钻孔过程进行识别,并采用DPM时间序列分析方法分离出纯钻进过程钻进参数,结果表明:纯钻进过程的钻进深度随钻进时间呈分段线性变化;钻机工作压力随钻进时间的变化相对恒定,其对不同钻速段的钻速变化影响有限;同时,钻进速度随岩石强度增加而减小,并建立了岩石强度关于钻进速度的指数关系模型,用以指导工程实践。

关键词：冲击回转钻孔过程监测钻进参数饱和单轴抗压强度

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多枝柽柳水分利用策略对沙堆堆积过程的响应

植物生态学报 2024年第1期48卷 113-126页

作者：祖姆热提•于苏甫江董正武成鹏叶茂刘隋赟昊李生宇赵晓英新疆师范大学生命科学学院新疆特殊环境物种保护与调控生物学重点实验室乌鲁木齐830054 新疆乌鲁木齐市气象局乌鲁木齐830039 新疆师范大学地理科学与旅游学院乌鲁木齐830054 中国科学院新疆生态与地理研究所乌鲁木齐830011

多枝柽柳(Tamarix ramosissima)作为干旱荒漠区的优势树种,其与风沙长期作用过程中形成了柽柳沙堆,研究沙堆上多枝柽柳水分利用来源及其对各水源的利用比例,可为干旱荒漠区原生植被的保护及恢复提供科学依据。该研究以空间序列代替时间... 详细信息

多枝柽柳(Tamarix ramosissima)作为干旱荒漠区的优势树种,其与风沙长期作用过程中形成了柽柳沙堆,研究沙堆上多枝柽柳水分利用来源及其对各水源的利用比例,可为干旱荒漠区原生植被的保护及恢复提供科学依据。该研究以空间序列代替时间序列的方法,通过野外调查及室内模型分析,解析了不同发育阶段沙堆上多枝柽柳的水分来源及其对各水源的利用比例,揭示了沙堆堆积过程中多枝柽柳的水分利用策略。结果表明:(1)多枝柽柳沙堆土壤水分含量随沙堆堆积增高而存在较大差异,且0-500 cm层土壤平均水分含量依次为雏形阶段(4.57%)>增长阶段(4.46%)>衰退阶段(3.62%)>稳定阶段(3.48%);(2)雏形及增长阶段沙堆土壤含水率在40-180cm层显著升高,稳定及衰退阶段沙堆土壤含水率分别在180-360cm和360-500cm层显著升高。(3)各发育阶段沙堆上,0-40 cm层土壤含水率及稳定氧同位素比值(δ^(18)O)波动较大,季节变化明显,且随土层深度的增加δ^(18)O趋于稳定,表明表层土壤受外界环境影响较大。(4)春季,多枝柽柳在雏形阶段沙堆上主要利用360-500 cm层土壤水,其次利用0-40cm层土壤水,利用比例分别为53.1%和21.4%;增长阶段沙堆上主要利用0-40和360-500cm层土壤水,利用比例分别为53.1%和23.0%;稳定阶段沙堆上主要利用0-40和180-360cm层土壤水,利用比例分别为49.8%和29.3%;衰退阶段沙堆上主要利用360-500 cm层土壤水,利用比例为60.9%。夏季,多枝柽柳在雏形和增长阶段沙堆上主要利用360-500cm层土壤水,利用比例分别为61.1%和42.8%,且在增长阶段沙堆上还利用40-180和180-360cm层土壤水;稳定阶段沙堆上其对各层土壤水的利用较为均匀,而衰退阶段沙堆上主要吸收180-360和360-500cm层土壤水,利用比例分别为29.0%和44.1%。秋季,雏形阶段沙堆上以360-500 cm层土壤水为主要水源,增长和稳定阶段沙堆上均以180-360和360-500 cm层土壤水为主要水源,衰退阶段沙堆上主要利用360-500cm深层土壤水,利用比例高达92.3%,反映出多枝柽柳在不同发育阶段沙堆上呈现出不同的水分利用策略。

关键词：多枝柽柳水分来源稳定氧同位素技术 MixSIAR模型古尔班通古特沙漠

Advances of nanoparticles in transmucosal drug delivery

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Nano Research 2024年第4期17卷 2874-2885页

作者： li Zhang Changwei Yang Yingxiang Song Tao sheng Junyan li Jicheng yu Xiaohong Wu Xiao Ye Geriatric Medicine Center Department of EndocrinologyZhejiang Provincial People’s Hospital(Affiliated People’s HospitalHangzhou Medical College)Hangzhou 310014China Key Laboratory of Advanced Drug Delivery Systems of Zhejiang Province College of Pharmaceutical SciencesZhejiang UniversityHangzhou 310058China Jinhua Institute of Zhejiang University Jinhua 321299China liangzhu Laboratory Zhejiang University Medical CenterHangzhou 311121China Department of General Surgery Sir Run Run Shaw HospitalSchool of MedicineZhejiang UniversityHangzhou 310016China National Key Laboratory of Advanced Drug Delivery and Release Systems Zhejiang UniversityHangzhou 310058China Key Laboratory for Diagnosis and Treatment of Endocrine Gland Diseases of Zhejiang Province Hangzhou 310014China

Transmucosal drug administration represents a potential strategy for enhancing treatment efficacy and reducing side effects by avoiding the first-pass effect into the systemic circulation and delivering therapeutics directly to the target disease ***,many challenges still remain in its clinical application,including low drug availability and limited retention time in the *** burgeoning advancement of nanotechnologies offers great potential to overcome the above limitations,leveraging their distinct advantages of high drug-loading capacity and strong *** this review,the latest developments of nanoparticles(NPs)in transmucosal drug delivery as well as their clinical applications are discussed.

关键词： nanoparticles(NPs) transmucosal drug delivery mucosal barriers biomaterials

A hybrid physics-informed data-driven neural network for CO_(2) storage in depleted shale reservoirs

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Petroleum Science 2024年第1期21卷 286-301页

作者： Yan-Wei Wang Zhen-Xue Dai Gui-sheng Wang li Chen yu-Zhou Xia yu-Hao Zhou College of Construction Engineering Jilin UniversityChangchun130026JilinChina Institute of Intelligent Simulation and Early Warning for Subsurface Environment Jilin UniversityChangchun130026JilinChina School of Energy Resources China University of GeosciencesBeijing100083China Department of Safety Environmental Protection and Quality ManagementShengli OilfieldSinopecDongying257000ShandongChina Key Laboratory of Thermo-Fluid Science and Engineering of MOE School of Energy and Power EngineeringXi'an Jiaotong UniversityXi'an710049ShaanxiChina College of Computer Science and Technology China University of Petroleum(East China)Qingdao266580ShandongChina Department of Physics University of FribourgFribourg1700Switzerland

To reduce CO_(2) emissions in response to global climate change,shale reservoirs could be ideal candidates for long-term carbon geo-sequestration involving multi-scale transport ***,most current CO_(2) sequestration models do not adequately consider multiple transport ***,the evaluation of CO_(2) storage processes usually involves laborious and time-consuming numerical simulations unsuitable for practical prediction and *** this paper,an integrated model involving gas diffusion,adsorption,dissolution,slip flow,and Darcy flow is proposed to accurately characterize CO_(2) storage in depleted shale reservoirs,supporting the establishment of a training *** this basis,a hybrid physics-informed data-driven neural network(HPDNN)is developed as a deep learning surrogate for prediction and *** incorporating multiple sources of scientific knowledge,the HPDNN can be configured with limited simulation resources,significantly accelerating the forward and inversion ***,the HPDNN can more intelligently predict injection performance,precisely perform reservoir parameter inversion,and reasonably evaluate the CO_(2) storage capacity under complicated *** validation and test results demonstrate that the HPDNN can ensure high accuracy and strong robustness across an extensive applicability range when dealing with field data with multiple noise *** study has tremendous potential to replace traditional modeling tools for predicting and making decisions about CO_(2) storage projects in depleted shale reservoirs.

关键词： Deep learning Physics-informed data-driven neural network Depleted shale reservoirs CO_(2)storage Transport mechanisms

BL03HB: a Laue microdiffraction beamline for both protein crystallography and materials science at SSRF

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Nuclear Science and Techniques 2024年第7期35卷 68-78页

作者： Zhi-Jun Wang Si-sheng Wang Zheng-Huang Su li yu yu-Zhu Wang Bo Sun Wen Wen Xing-yu Gao Shanghai Advanced Research Institute Chinese Academy of SciencesShanghai201210China University of Chinese Academy of Science Beijing100049China

A Laue microdiffraction beamline (BL03HB) was constructed at the Shanghai SynchrotronRadiation Facility (SSRF). This beamline featu res two consecutive focusing points in twodifferent sectors within its end station, the first dedicated to protein crystallography and theother tailored to materials science applications. Based on a superbend dipole magnet with amagnetic field of 2.29 T, a two-stage focusing design was implemented with two sets of Kirkpatrick- Baez mirrors to achieve a micro white beam as small as 4.2 um X4.3 pμm at the firstsector and 09 pum X 1.3 pum at the second sector in the standard beamline operation mode at *** X-ray microbeam in the two sectors can be easily switched between monochromatic andwhite beams by moving a four-bounce monochromator in or out of the light path, respectively. Inthe protein crystallography sector, white-beam Laue microdifraction was dermonstrated tosuccessully determine the structure of protein crystals from only a few images of diffraction data .collected by a Pilatus 2 M area detector. In the materials science sector, the white -beam Lauediffraction was collected in a reflection geometry using another Pilatus 2 M area detector, whichcould map the microstructural distribution on the sample surface by scanning the samples. Ingeneral, the BL03HB beamline promotes the application of Laue microdiffraction in both proteincrystallgraphy and materials science. This paper presents a comprehensive overview of theBL03HB beamline, end station, and the first commission results.

关键词： Crystallography White-beam Laue microdiffraction Beamline Synchrotron

Modulation of d-orbital to realize enriched electronic cobalt sites in cobalt sulfide for enhanced hydrogen evolution in electrocatalytic water/seawater splitting

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Rare Metals 2024年第2期43卷 511-521页

作者： Jian-Peng Sun yu Zheng Zi-sheng Zhang Xiang-Chao Meng Zi-Zhen li Key Laboratory of Marine Chemistry Theory and Technology(Ministry of Education) College of Chemistry and Chemical EngineeringOcean University of ChinaQingdao266100China Shanxi Institute of Energy Taiyuan030600China Department of Chemical and Biological Engineering Faculty of EngineeringUniversity of OttawaOttawaONK1N6 N5Canada

Herein,a novel single-atomic Pt doping and interface-rich CoS/Co(OH)_(2)(Pt-CoS/Co(OH)_(2)/C)electrocatalyst has been successfully *** from precise regulation of d-orbital electronic structure modulation on Co site,Pt-CoS/Co(OH)_(2)/C exhibited remarkable HER activity and high stability for hydrogen evolution in splitting both water(73 mV@10 mA·cm^(−2)) and seawater(87 mV@10 mA·cm^(−2)).Notably,atomic Pt doping was introduced into CoS/Co(OH)_(2),which could produce local unbalanced Coulombic force and significantly increased the number of S vacancies,and then expose abundant Co ***,Co(OH)_(2) in Pt-CoS/Co(OH)_(2)/C could act as the adsorption sites for H_(2)O in hydrogen evolution reaction *** functional theory results also proved that atomic Pt doping,S vacancies and Co(OH)_(2) coupling could result in the formation of enriched electronic Co sites and optimize d_(z2) orbital electronic structure,and then realize the depth upward shift of d-band center and enhance the adsorption of H*on Co sites.

关键词： Electrocatalysts Hydrogen evolution reaction Pt-CoS/Co(OH)_(2) d-band center Electronic structure Water/seawater electrolysis