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提高肝细胞癌检测方法的评估

国际医学放射学杂志 2014年第2期 191-192页

作者： E.bendik p.b.noёl D.Münzel A.A.Fingerle M.Henninger C.Markus 陆雪芳 Department of Radiology Technische Universitt München MunichGermany

目的本研究旨在探讨使用碘对比剂增强扫描工具在提高肝细胞癌检出率方面的作用。方法32例临床确诊为肝细胞癌病人接受256层螺旋CT三期增强扫描。使用后

关键词： CT 非离子型碘对比剂肝脏肝细胞癌对比剂增强后处理软件

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应用X线矢量成像预测椎体载荷衰竭

国际医学放射学杂志 2015年第4期 376-376页

作者： E.Eggl A.Malecki F.Schaff G.potdevin p.b.no l J.S.bauer 顾程 lehrstuhl für biomedizinische physik Physik-Department & Institut für Medizintechnik Technische Universitt München

摘要目的检测X线矢量成像(XVR)参数是否可以预测生物力学上的椎体载荷衰竭。材料与方法本研究经当地伦理委员会批准,捐赠者在死前签署知情同意书。从3具人

关键词：椎体线矢量局部平均投照

常规胸腹部MDCT对骨质疏松性椎体骨折的自动检测

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国际医学放射学杂志 2014年第3期 303-303页

作者： T.baum J.S.bauer T.Klinder M.Dobritz E.J.Rummeny p.b.noёl 王鹤 Institut für Radiologie Klinikum rechts der IsarTechnische Universitt MünchenIsmaninger Str.2281675MünchenGermany

摘要目的创建一种MDCT影像脊柱自动分段的原始数据算法,并利用其自动检出骨质疏松性椎体骨折。方法回顾性选择71例常规胸腹部横断MDCT检查病人。包括男

关键词：骨质疏松性椎体骨折胸腹部椎体 MDCT 常规

利用动态增强光学及MR成像的定量分析方法监测早期炎性关节炎病人滑膜炎疗效的研究

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国际医学放射学杂志 2014年第2期 164-164页

作者： R.Meier K.Thuermel p.b.noёl p.Moog M.Sievert C.Ahari R.A.Nasirudin 陆雪芳 Department of Radiology Technische Universitt München Ismaningerstr 22 81675 Munich Germany

目的评价动态吲哚氰绿增强光学成像的定量灌注值在监测早期炎性关节炎病人手部滑膜炎疗效中的价值,并与动态增强MRI及临床评分进行比较。材料与方法本研

关键词：动态增强灌注值 MR 病人炎性滑膜炎光学成像关节炎疗效

Intrumer:A Multi Module Distributed Explainable IDS/IpS for Securing Cloud Environment

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Computers, Materials & Continua 2025年第1期82卷 579-607页

作者： Nazreen banu A S.K.b.Sangeetha Department of Computer Science and Engineering SRM Institute of Science and TechnologyVadapalani CampusChennai600026Tamil NaduIndia

The increasing use of cloud-based devices has reached the critical point of cybersecurity and unwanted network *** environments pose significant challenges in maintaining privacy and *** approaches,such as IDS,have been developed to tackle these ***,most conventional Intrusion Detection System(IDS)models struggle with unseen cyberattacks and complex high-dimensional *** fact,this paper introduces the idea of a novel distributed explainable and heterogeneous transformer-based intrusion detection system,named INTRUMER,which offers balanced accuracy,reliability,and security in cloud settings bymultiplemodulesworking together within *** traffic captured from cloud devices is first passed to the TC&TM module in which the Falcon Optimization Algorithm optimizes the feature selection process,and Naie bayes algorithm performs the classification of *** selected features are classified further and are forwarded to the Heterogeneous Attention Transformer(HAT)*** this module,the contextual interactions of the network traffic are taken into account to classify them as normal or malicious *** classified results are further analyzed by the Explainable prevention Module(XpM)to ensure trustworthiness by providing interpretable *** the explanations fromthe classifier,emergency alarms are transmitted to nearby IDSmodules,servers,and underlying cloud devices for the enhancement of preventive *** experiments on benchmark IDS datasets CICIDS 2017,Honeypots,and NSl-KDD were conducted to demonstrate the efficiency of the INTRUMER model in detecting network trafficwith high accuracy for different *** outperforms state-of-the-art approaches,obtaining better performance metrics:98.7%accuracy,97.5%precision,96.3%recall,and 97.8%*** results validate the robustness and effectiveness of INTRUMER in securing diverse cloud environments against sophisticated cyber threats.

关键词： Cloud computing intrusion detection system transformers and explainable artificial intelligence(XAI)

Neuroinflammation revisited through the microglial lens

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Neural Regeneration Research 2025年第7期20卷 1989-1990页

作者： Renato Socodato João b.Relvas Institute of Research and Innovation in Health(i3S)and Institute for Molecular and Cell biology(IbMC) University of PortoPortoPortugal Department of biomedicine Faculty of Medicine of the University of Porto(FMUP)PortoPortugal

Neuroimmunology is emerging as a pivotal field,shedding light on the intricate dialogues between the central nervous system(CNS)and the immune *** exploration is particularly significant in understanding microglia,the CNS’s innate immune cells,beyond the conventional conflation of“neuroinflammation”and“microglial activation.”This conflation has clouded the true complexity of these processes,potentially stalling scientific progress and the development of new *** challenge the long-standing perspectives that have oversimplified these interactions,advocating for a deeper exploration of the dynamic relationship between neuroinflammation and microglial *** dissecting specific molecular pathways,we aim to illuminate their elaborate roles in neuroinflammatory responses,especially in the context of Alzheimer’s disease(AD).Here,neuroinflammation is not merely a passive observer or a direct antagonist but a complex agent in the disease’s *** article calls for a significant paradigm shift towards an integrative,multi-omics approach to *** such a comprehensive framework is crucial for advancing our understanding of neuroinflammatory conditions and paving the way for targeted therapeutic strategies for brain diseases.

关键词： inflammation simplified activation

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Federated learning’s Role in Next-Gen TV Ad Optimization

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Computers, Materials & Continua 2025年第1期82卷 675-712页

作者： Gabriela Dobrita Simona-Vasilica Oprea Adela bâra Department of Economic Informatics and Cybernetics Bucharest University of Economic StudiesBucharest010374Romania

In the rapidly evolving landscape of television advertising,optimizing ad schedules to maximize viewer engagement and revenue has become *** methods often operate in silos,limiting the potential insights gained from broader data analysis due to concerns over privacy and data *** article introduces a novel approach that leverages Federated learning(Fl)to enhance TV ad schedule optimization,combining the strengths of local optimization techniques with the power of global Machine learning(Ml)models to uncover actionable insights without compromising data *** combines linear programming for initial ads scheduling optimization with Ml—specifically,a K-Nearest Neighbors(KNN)model—for predicting ad spot *** into account the diversity and the difficulty of the ad-scheduling problem,we propose a prescriptivepredictive approach in which first the position of the ads is optimized(using Google’s OR-Tools Cp-SAT)and then the scheduled position of all ads will be the result of the optimization ***,this output becomes the target of a predictive task that predicts the position of new entries based on their characteristics ensuring the implementation of the scheduling at large scale(using KNN,light Gradient boosting Machine and Random Forest).Furthermore,we explore the integration of Fl to enhance predictive accuracy and strategic insight across different broadcasting networks while preserving data *** Fl approach resulted in 8750 ads being precisely matched to their optimal category placements,showcasing an alignment with the intended diversity ***,there was a minimal deviation observed,with 1133 ads positioned within a one-category variance from their ideal placement in the original dataset.

关键词： Ad scheduling prescriptive-predictive approach federated learning KNN

beginning from the end:the presynaptic terminal as a pathomechanism hub in frontotemporal dementia and amyotrophic lateral sclerosis

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Neural Regeneration Research 2025年第11期20卷 3217-3218页

作者： laura Huggon Emma l.Clayton UK Dementia Research Institute at King’s College london LondonUK Department of basic and Clinical Neuroscience Institute of Psychiatry Psychology&NeuroscienceKing’s College LondonLondonUK

Frontotemporal dementia and amyotrophic lateral sclerosis:Frontotemporal dementia(F T D)and amyo t rophic lateral sclerosis(AlS)are neurodegenerative diseases with significant overlapping *** these neurodegenerative diseases affect different neuronal populations(with FTD affecting neurons of the frontal and temporal lobes,and AlS affecting upper and lower motor neurons),these two diseases are complexly *** and AlS exist on a disease spectrum,with shared genetic causes,clinical presentations,and pathologies.

关键词： diseases amyotrophic sclerosis

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Unlocking hypoglycemia–associated brain microvascular dysfunction:critical insights from proteomic analysis

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Neural Regeneration Research 2025年第6期20卷 1707-1708页

作者： Siva S.V.p.Sakamuri Anil Sakamuri Department of Chemistry Auburn University at MontgomeryMontgomeryALUSA Vascular biology Center and Department of Medicine Medical College of Georgia at Augusta UniversityAugustaGAUSA

Hypoglycemia-a critical complication linked to worsened brain function in diabetic subjects:Hypoglycemia is characterized by a decline in circulatory glucose levels below sta nda rd physiological *** hypoglycemia,classified as level 1 hypoglycemia,is defined by blood glucose levels below 70 mg/dl and can be effectively addressed through carbohydrate *** hypoglycemia,denoted by blood glucose levels less than 54 mg/dl,poses a life-threatening risk if left *** with type 1 and type 2 diabetes undergoing insulin treatment are particularly susceptible to hypoglycemia due to impaired counterregulatory mechanisms.

关键词： impaired intake critical

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