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Eosinophilic fasciitis difficult to differentiate from scleroderma:A case report

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World Journal of Clinical Cases 2023年第13期11卷 3092-3098页

作者： tian-yi lan Zi-Han Wang Wei-Ping Kong Jin-Ping Wang Nan Zhang Di-Er Jin Jing Luo Qing-Wen Tao Ze-Ran Yan Graduate College Beijing University of Chinese MedicineBeijing 100029China Traditional Chinese Medicine Department of Rheumatism China-Japan Friendship HospitalBeijing 100029China

BACKGROUND Eosinophilic fasciitis(EF)is a rare connective tissue disease that can cause swelling and sclerosis of the extremities,and special attention is needed to differentiate EF from systemic *** or omission markedly delays treatment of EF,and severe skin sclerosis in advanced stages can cause joint contracture and tendon retraction,worsening the patient's prognosis and quality of *** SUMMARY We report a case of EF in a young woman diagnosed by tissue biopsy,confirming the difficulty of differential diagnosis with *** Focusing on skin manifestations,completing tissue biopsy and radiography can help diagnose EF *** should enhance their understanding of the differences between EF and scleroderma,and early diagnosis and standardized treatment can improve the prognosis of patients with EF.

关键词： Eosinophilic fasciitis Scleroderma Biopsy Diagnose Prognosis Case report

Tuning the interfacial reaction environment via pH-dependent and induced ions to understand C–N bonds coupling performance in NO3- integrated CO2 reduction to carbon and nitrogen compounds over dual Cu-based N-doped carbon catalyst

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Journal of Energy Chemistry 2025年第1期100卷 273-285页

作者： tianhang Zhou Chen Shen Zhenghao Wu Xingying lan yi Xiao College of Carbon Neutrality Future Technology State Key Laboratory of Heavy Oil Processing China University of Petroleum (Beijing) Institute of Materials Science TU Darmstadt Department of Chemistry Xi'an Jiaotong-Liverpool University Department of Mechanical and Mechatronics Engineering and Waterloo Institute of Nanotechnology University of Waterloo Waterloo

Dual atomic catalysts （DAC）,particularly copper （Cu2）-based nitrogen （N） doped graphene,show great potential to effectively convert CO2and nitrate （NO3-） into important industrial chemicals such as ethylene,glycol,acetamide,and urea through an efficient catalytical process that involves C–C and C–N ***,the origin of the coupling activity remained unclear,which substantially hinders the rational design of Cu-based catalysts for the N-integrated CO2reduction reaction （CO2RR）.To address this challenge,this work performed advanced density functional theory calculations incorporating explicit solvation based on a Cu2-based N-doped carbon (Cu2N6C10) catalyst for *** calculations are aimed to gain insight into the reaction mechanisms for the synthesis of ethylene,acetamide,and urea via coupling in the interfacial reaction *** to the sluggishness of CO2,the formation of a solvation electric layer by anions （F-,Cl-,Br-,and I-） and cations (Na+,Mg2+,K+,and Ca2+) leads to electron transfer towards the Cu *** process significantly accelerates the reduction of *** results reveal that*CO intermediates play a pivotal role in N-integrated ***,the Cu2-based N-doped carbon catalyst examined in this study has demonstrated the most potential for C–N coupling to *** findings reveal that through the process of a condensation reaction between*CO and NH2OH for urea synthesis,*NO3-is reduced to*NH3,and*CO2to*CCO at dual Cu atom *** dual-site reduction facilitates the synthesis of acetamide through a nucleophilic reaction between NH3and the ketene ***,we found that the I-and Mg2+ions,influenced by pH,were highly effective for acetamide and ammonia synthesis,except when F-and Ca2+were ***,the mechanisms of C–N bond formation were investigated via ab-initio molecular dynamics simulations,and we found that adjusting the micro-environment can change the dominant side reaction,shift

关键词： pH-dependent micro-environments C–N coupling Dual Cu-based nitrogen carbon catalysts Explicit solvation model Ion stabilizer AIMD

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低品位铝土矿在振动磨机中的选择性磨矿研究

东北大学学报（自然科学版） 2009年第10期30卷 1489-1492页

作者：韩跃新朱一民田祎兰王泽红东北大学资源与土木工程学院辽宁沈阳110004

以w(Al2O3)/w(SiO2)=4.4的铝土矿为研究对象,采用振动磨机对铝土矿进行了选择性磨矿试验研究.结果表明:被磨物料质量分数为70%时,磨矿产品粗粒级的w(Al2O3)/w(SiO2)比较高,选择性较好;物料与磨球质量比为0.9时,其选择性磨矿效果较好;湿... 详细信息

以w(Al2O3)/w(SiO2)=4.4的铝土矿为研究对象,采用振动磨机对铝土矿进行了选择性磨矿试验研究.结果表明:被磨物料质量分数为70%时,磨矿产品粗粒级的w(Al2O3)/w(SiO2)比较高,选择性较好;物料与磨球质量比为0.9时,其选择性磨矿效果较好;湿式磨矿较干式磨矿的选择性效果好;在上述各条件下,磨矿产品中+0.23mm粗粒级的w(Al2O3)/w(SiO2)可达7.5以上,产率为25%,Al2O3回收率为27%;对低品位铝土矿选择性磨矿脱硅是可行的.

关键词：振动磨机铝土矿选择性磨矿 Al2O3与SiO2的质量分数比

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云南某金矿选矿试验研究

矿冶 2015年第2期24卷 15-18页

作者：田祎兰北京矿冶研究总院矿物加工科学与技术国家重点实验室北京102628

某金矿中金含量为3.26 g/t、硫含量为1.04%。金主要赋存于硫化物中,可通过富集硫化物的方法来回收矿石中的金。采用一次粗选、两次扫选和一次精选的闭路试验流程,可获得品位57.08 g/t、回收率91.62%的金精矿。

关键词：金矿浮选毒砂

Comparative analysis of empirical and deep learning models for ionospheric sporadic E layer prediction

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Earth and Planetary Physics 2025年第1期9卷 10-19页

作者： BingKun Yu PengHao tian XiangHui Xue Christopher JScott HaiLun Ye JianFei Wu Wen yi TingDi Chen XianKang Dou Institute of Deep Space Sciences Deep Space Exploration LaboratoryHefei 230088China CAS Key Laboratory of Geospace Environment School of Earth and Space SciencesUniversity of Science and Technology of ChinaHefei 230026China Hefei National Laboratory University of Science and Technology of ChinaHefei 230088China Department of Meteorology University of ReadingReading RG66BBUK

Sporadic E(Es)layers in the ionosphere are characterized by intense plasma irregularities in the E region at altitudes of 90-130 *** they can significantly influence radio communications and navigation systems,accurate forecasting of Es layers is crucial for ensuring the precision and dependability of navigation satellite *** this study,we present Es predictions made by an empirical model and by a deep learning model,and analyze their differences comprehensively by comparing the model predictions to satellite RO measurements and ground-based ionosonde *** deep learning model exhibited significantly better performance,as indicated by its high coefficient of correlation(r=0.87)with RO observations and predictions,than did the empirical model(r=0.53).This study highlights the importance of integrating artificial intelligence technology into ionosphere modelling generally,and into predicting Es layer occurrences and characteristics,in particular.

关键词： ionospheric sporadic E layer radio occultation ionosondes numerical model deep learning model artificial intelligence

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中华文化生命体的特征探析

新疆师范大学学报（哲学社会科学版） 2025年第2期46卷 122-127页

作者：秘天一新疆大学马克思主义学院新疆乌鲁木齐830046

中华文化生命体呈现对环境刺激的反应、生长发育、新陈代谢、自我调节和超脱自然选择等特征,具有整体性、连贯性、创新性、开放性与和平性特质。整体性和连贯性确保中华文化在数千年发展中的赓承延续与稳定,通过“天人合一”“和而不同... 详细信息

中华文化生命体呈现对环境刺激的反应、生长发育、新陈代谢、自我调节和超脱自然选择等特征,具有整体性、连贯性、创新性、开放性与和平性特质。整体性和连贯性确保中华文化在数千年发展中的赓承延续与稳定,通过“天人合一”“和而不同”实现内在和谐统一;创新性使中华文化在历史长河中保持强大的生长力,推动中华优秀传统文化现代转型,实现马克思主义中国化的新飞跃;开放性增强了中华文化的适应性和生命力,通过吸收和融合外来优秀文化元素,使中华文化在全球化进程中保持独特性和竞争力,并以开放姿态积极借鉴吸收人类文明一切优秀成果,推动文化守正创新;和平性源于对和谐、和合文化的深刻理解,强调和谐共生、和合共在、和平发展,通过对话与合作解决争端。中华文化生命体在全球化背景下展现出独特的现代价值和全球视野,彰显了中华文化的强大生命力和国际影响力。

关键词：习近平文化思想中华文化生命体两个结合文化新使命中华优秀传统文化

Hippocampal Segmentation in Brain MRI Images Using Machine Learning Methods: A Survey

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Chinese Journal of Electronics 2021年第5期30卷 793-814页

作者： PAN yi LIU Jin tian Xu lan Wei GUO Rui Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Hunan Provincial Key Lab on Bioinformatics School of Computer Science and EngineeringCentral South University School of Computer Electronics and Information Guangxi University

The hippocampus is closely related to many brain diseases, such as Alzheimer’s disease. Accurate measurement of the hippocampus is helpful for clinicians in identifying lesions and then diagnosing and treating the related brain diseases. Therefore, accurate segmentation of the hippocampus is of vital significance for the indepth study of many brain diseases. However, the accurate measurement of the hippocampus depends on its accurate segmentation, and hippocampal segmentation has always been a challenging problem due to the small size,irregular shape, and fuzzy boundaries with surrounding tissues of the hippocampus. With the development of machine learning, many innovative methods have been proposed to segment the hippocampus. The purpose of this survey is to provide a comprehensive overview of hippocampal segmentation in brain MRI images using machine learning methods. First, a brief introduction to hippocampal segmentation in brain MRI images is given. Then, common evaluation metrics of hippocampal segmentation are introduced. Next, brain hippocampal segmentation methods based on traditional machine learning and deep learning are described. Subsequently,some common open datasets and toolkits applied to brain hippocampal segmentation are presented. Finally,objective conclusions regarding hippocampal segmentation in brain MRI images using machine learning methods are drawn, and future developments and trends are identified for brain hippocampal segmentation.

关键词： biomedical MRI brain image segmentation machine learning methods brain hippocampal segmentation methods medical image processing neurophysiology related brain diseases diseases learning (artificial intelligence) hippocampus brain MRI images

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伊利石的开发利用现状

有色矿冶 2005年第2期21卷 13-15,39页

作者：徐敬尧肖睿田祎兰代淑娟安徽理工大学安徽淮南232001 东北大学辽宁沈阳110004

伊利石作为一种新的粘土矿物,已经在多个领域中获得了不同程度的应用,但是在其应用中仍然存在很多问题有待于研究。本文介绍了伊利石的提纯加工方法,总结了开发利用状况,并提出了今后的发展方向。

关键词：伊利石提纯应用深加工

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MIMO-OFDM系统的迭代信道估计算法

信息技术 2012年第11期36卷 86-89页

作者：郭艳华郭心悦田一岚徐伯庆上海理工大学光电信息与计算机工程学院上海200093

由于传统的信道估计方法忽略了信道参数的不确定性,因此,提出了基于因子图利用软信道参数信息的低复杂度的迭代估计算法。该算法首先将信道参数信息视为高斯变量,并通过概率信息表示其均值和方差,从而避免了对变量的积分,降低计算复杂度... 详细信息

由于传统的信道估计方法忽略了信道参数的不确定性,因此,提出了基于因子图利用软信道参数信息的低复杂度的迭代估计算法。该算法首先将信道参数信息视为高斯变量,并通过概率信息表示其均值和方差,从而避免了对变量的积分,降低计算复杂度;然后利用和积算法,由导频位置处的初始信道信息,通过转移函数节点进行信息交互,最终获得信道频率响应。仿真结果表明,相对于传统的信道估计算法,新的迭代估计算法能够获得更好的误码率性能。

关键词：多输入多输出正交频分复用信道估计因子图和积算法