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膝关节单髁置换MRI:层编码金属伪影校正法对影像质量、影像表现及治疗方案选择的影响

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国际医学放射学杂志 2015年第5期 499-499页

作者： c.A.Agten F.Del Grande S.F.Fucentese S.Blatter c.w.a.pfirrmann R.Sutter 李倩 Radiology Department Balgrist University Hospital

摘要目的评估层编码金属伪影校正法(SEMAc)对膝关节单髁置换(UKA)病人的影像质量、影像表现及治疗方案选择的影响。方法 45例痛性UKA病人接受1.5 T MRI检查[扫描序列包括短时间反转恢复(STIR)序列和质子密度加权(PD)序列,每个序列分别应... 详细信息

摘要目的评估层编码金属伪影校正法(SEMAc)对膝关节单髁置换(UKA)病人的影像质量、影像表现及治疗方案选择的影响。方法 45例痛性UKA病人接受1.5 T MRI检查[扫描序列包括短时间反转恢复(STIR)序列和质子密度加权(PD)序列,每个序列分别应用SEMAc和高带宽进行金属伪影校正]。2名阅片者分别比较SEMAc和高带宽两种技术的伪影大小、影像质量、解剖结构显示及相关临床发现。2名骨

关键词：单髁置换治疗方案 MRI 影像质量骨科医生膝关节影像表现金属伪影校正法编码

钆剂动态增强MRI评价腕舟骨活性在腕舟骨骨不连的术前评估中是否必要?

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国际医学放射学杂志 2011年第6期 582-582页

作者： O.F.Donati M.Zanetti L.Nagy B.Bode A.Schweizer c.w.a.pfirrmann 丁磊 Department of Radiology University Hospital BalgristUniversity of ZurichZurichSwitzerland

目的比较钆剂动态增强MRI与标准MRI对腕舟骨骨不连者舟骨近端活性判断的准确性。材料与方法本回顾性研究得到伦理审查委员会批准,并免除了其他的要求。28例腕舟骨骨折后骨不连病人[(24.3±6.4)岁]在术前(28±19)d接受腕部动态增强MRI。... 详细信息

目的比较钆剂动态增强MRI与标准MRI对腕舟骨骨不连者舟骨近端活性判断的准确性。材料与方法本回顾性研究得到伦理审查委员会批准,并免除了其他的要求。28例腕舟骨骨折后骨不连病人[(24.3±6.4)岁]在术前(28±19)d接受腕部动态增强MRI。动态增强MRI于1min内连

关键词：腕舟骨骨不连舟骨动态增强 MRI

MR关节成像后疼痛等不良反应:前瞻性评价1085例病人

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国际医学放射学杂志 2009年第3期 281-281页

作者： N.Saupe M.Zanetti c.w.a.pfirrmann T.wels c.Schwenke J.Hodler 李华兵 Department of Radiology Orthopedic University Hospital BalgristForchstrasse 3408008 ZurichSwitzerland

目的前瞻性评价MR关节成像后疼痛及其他不良反应。方法本研究获机构审查委员会批准,并获得病人知情同意。1085例病人行MR关节成像。1011病人注射2mmol/L的二葡甲胺钆。行手腕检查者,注射5mmol/L的二葡甲胺钆。分别在注射后即刻、注射后4... 详细信息

目的前瞻性评价MR关节成像后疼痛及其他不良反应。方法本研究获机构审查委员会批准,并获得病人知情同意。1085例病人行MR关节成像。1011病人注射2mmol/L的二葡甲胺钆。行手腕检查者,注射5mmol/L的二葡甲胺钆。分别在注射后即刻、注射后4h、注射后1d(18～30h)、注射后1周(6～8d)检测疼痛,并与疼痛基线比较(在对比剂注射之前)。采用视觉模拟量表或口头评定量表(评分范围:0～10)衡量疼痛。当疼痛持续增加到观察期结束时,需进行额外的评估,以排除感染。评价影响疼痛的潜在因素包括注射后的时间,关节类型,

关键词：疼痛关节运动器官 MR 病人不良反应

Pathogenic and therapeutic role of exosomes in neurodegenerative disorders

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Neural Regeneration Research 2024年第1期19卷 75-79页

作者： christa c.Huber Hongmin wang Division of Basic Biomedical Sciences Sanford School of MedicineUniversity of South DakotaVermillionSDUSA

Neurodegenerative disorders affect millions of people worldwide,and the prevalence of these disorders is only projected to rise as the number of people over 65 will drastically increase in the coming *** therapies exist to aid in symptomatic relief,effective treatments that can stop or reve rse the progress of each neurodegenerative disease are ***,research on the role of extracellular vesicles as disease markers and therapeutics has been intensively ***,30-150 nm in diameter,are one type of extracellular vesicles facilitating cell-to-cell *** are thought to play a role in disease propagation in a variety of neurodegenerative diseases,such as Alzheimer's disease,Parkinson s disease,and amyotrophic lateral ***,the exosomes derived from the patients are an invaluable source of disease *** the other hand,exosomes,especially those derived from stem cells,could serve as a therapeutic for these disorders,as seen by a rapid increase in clinical trials investigating the therapeutic efficacy of exosomes in different neurological *** review summarizes the pathological burden and therapeutic approach of exosomes in neurodegenerative *** also highlight how heat shock increases the yield of exosomes while still maintaining their therapeutic ***,this review concludes with outstanding questions that remain to be addressed in exosomal research.

关键词： aging Alzheimer's disease biomarker drug exosome extracellular vesicle neurodegenerative disease Parkinson's disease therapy

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Automated Machine Learning Algorithm Using Recurrent Neural Network to Perform Long-Term Time Series Forecasting

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computers, Materials & continua 2024年第3期78卷 3529-3549页

作者： Ying Su Morgan c.wang Shuai Liu Department of Statistics and Data Science University of Central FloridaOrlandoFL32816-2370USA School of Mathematics and Statistics Beijing Technology and Business UniversityBeijing100048China

Long-term time series forecasting stands as a crucial research domain within the realm of automated machine learning(AutoML).At present,forecasting,whether rooted in machine learning or statistical learning,typically relies on expert input and necessitates substantial manual *** manual effort spans model development,feature engineering,hyper-parameter tuning,and the intricate construction of time series *** complexity of these tasks renders complete automation unfeasible,as they inherently demand human intervention at multiple *** surmount these challenges,this article proposes leveraging Long Short-Term Memory,which is the variant of Recurrent Neural Networks,harnessing memory cells and gating mechanisms to facilitate long-term time series ***,forecasting accuracy by particular neural network and traditional models can degrade significantly,when addressing long-term time-series ***,our research demonstrates that this innovative approach outperforms the traditional Autoregressive Integrated Moving Average(ARIMA)method in forecasting long-term univariate time *** is a high-quality and competitive model in time series prediction,and yet it requires significant preprocessing *** multiple accuracy metrics,we have evaluated both ARIMA and proposed method on the simulated time-series data and real data in both short and long ***,our findings indicate its superiority over alternative network architectures,including Fully connected Neural Networks,convolutional Neural Networks,and Nonpooling convolutional Neural *** AutoML approach enables non-professional to attain highly accurate and effective time series forecasting,and can be widely applied to various domains,particularly in business and finance.

关键词： Automated machine learning autoregressive integrated moving average neural networks time series analysis

Hierarchical control Strategy for Load Regulation Based on Stackelberg Game Theory considering Randomness

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cSEE Journal of Power and Energy Systems 2024年第3期10卷 929-941页

作者： Tingyu Jiang Ping Ju c.Y.chung Yuzhong Gong college of Energy and Electrical Engineering Hohai UniversityNanjing 211100China Department of Electrical Engineering City University of Hong KongHong Kong CF624China Department of Electrical and computer Engineering University of SaskatchewanSaskatoonSK S7N 5A9Canada cSEE IEEE

Demand response has been recognized as a valuable functionality of power systems for mitigating power *** paper proposes a hierarchical control strategy among the distribution system operator(DSO),load aggregators(LAs),and thermostatically controlled loads(TcLs);the strategy includes a scheduling layer and an executive layer to provide load *** the scheduling layer,the DSO(leader)offers compensation price(cP)strategies,and the LAs(followers)respond to cP strategies with available regulation power(ARP)*** of the DSO and LAs are modeled according to their behaviors during the load regulation *** game is adopted to capture interactions among the players and leader and to obtain the optimal strategy for each participant to achieve ***,considering inevitable random factors in practice,e.g.,renewable generation and behavior of users,two different stochastic models based on sample average approximation(SAA)and parameter modification are formulated with improved scheduling *** the executive layer,distributed TcLs are triggered based on strategies determined in the scheduling layer.A self-triggering method that does not violate user privacy is presented,where TcLs receive external signals from the LA and independently determine whether to alter their operation *** simulations are performed on the modified IEEE-24 bus system to verify effectiveness of the proposed strategy.

关键词： Demand response hierarchical control load regulation self-triggering method Stackelberg game

无症状志愿者及足痛病人足后部脂性肌肉萎缩的MRI研究

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国际医学放射学杂志 2009年第6期 586-586页

作者： D.T.Schmid J.Hodler B.Mengiardi c.w.a.pfirrmann N.Espinosa M.Zanetti 郑少燕 Department of Radiology Orthopedic University Hospital BalgristForchstrasse 340CH-8008 ZurichSwitzerland

目的研究无症状志愿者及足痛病人足底肌脂性肌肉萎缩的发生率及程度。材料与方法本研究经过伦理委员会批准并获得知情同意。对80名健康志愿者(年龄:23～84岁,平均年龄48岁)和80例有足痛症状的病人(年龄:20～86岁,平均年龄48岁)的小趾展... 详细信息

目的研究无症状志愿者及足痛病人足底肌脂性肌肉萎缩的发生率及程度。材料与方法本研究经过伦理委员会批准并获得知情同意。对80名健康志愿者(年龄:23～84岁,平均年龄48岁)和80例有足痛症状的病人(年龄:20～86岁,平均年龄48岁)的小趾展肌、屈趾短

关键词：脂性发生率足痛肌肉萎缩肌萎缩 MRI 无症状病人

Data-driven Static Equivalence with Physics-informed Koopman Operators

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cSEE Journal of Power and Energy Systems 2024年第1期10卷 432-438页

作者： wei Lin changhong Zhao Maosheng Gao c.Y.chung Department of Electrical Engineering The Hong Kong Polytechnic UniversityHong Kong SARChina Department of Information Engineering The Chinese University of Hong KongHong Kong SARChina School of Electrical Engineering Chongqing UniversityChongqing 400044China

with deployment of measurement units,fitting static equivalent models of distribution networks(DNs)by linear regression has been recognized as an effective method in power flow analysis of a transmission *** volatility of measurements caused by variable distributed renewable energy sources makes it more difficult to accurately fit such equivalent *** tackle this challenge,this letter proposes a novel data-driven method to improve equivalency accuracy of DNs with distributed energy *** letter provides a new perspective that an equivalent model can be regarded as a mapping from internal conditions and border voltages to border power *** mapping can be established through 1)Koopman operator theory,and 2)physical features of power flow equations at the root node of a *** of the proposed method is demonstrated on the IEEE 33-bus and IEEE 136-bus test systems connected to a 661-bus utility system.

关键词： Data-driven distribution network Koopman operator theory static equivalent model

肘关节的韧带和皱襞:60例无症状受试者的正常MRI变异

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国际医学放射学杂志 2010年第6期 576-576页

作者： D.B.Husarik N.Saupe c.w.a.pfirrmann B.Jost J.Hodler M.Zanetti 董潇蔓 Department of Radiology University Hospital ZurichZurichSwitzerland

目的对于无症状志愿者肘关节在常规MRI上韧带、皱襞及后方的肱骨小头的正常变异进行前瞻性评估。材料与方法该研究经伦理委员会批准,获得所有受试者知情

关键词：受试者侧副韧带 MRI 皱襞肘关节无症状