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Science China Earth Sciences 2007年第2期50卷 236-246页

作者： P. COUR D. DUZER g. robert M. CALLEJA C. BEAUDOUIN Ecole Nationale Supérieure Ag.onomique de Montpellier 34000 Montpellier France UMR CNRS 5554 ISEM Université Montpellier 2 34000 Montpellier France Department of Earth Sciences Sun Yat-sen University

A series of dust pollen samples was collected along.N-S transects in east China (18°N to 53°N latitudes). Sample sites extend from the cold-temperate zone in the north to the tropical reg.on in the south. Pollen taxa characterize each reg.on and reflect the natural and devastated veg.tation as well as corre- sponding.climatic zones. The quantitative pollen data can be used to estimate the spatial distribution of planted and introduced species. Valuable information of human disturbance of the natural forest is evaluated by quantitative comparison between dust pollen and in-situ pollen of protected forest. In addition, percentag.s of g.ass pollen vary reg.larly from north to south that is consistent with spatial distribution of net primary productivity in east China. Among.all g.asses, Artemisia and the g.amineae carry the clearest sig.al: their ratio increases northwards and therefore represent a suitable and con- venient tool for palaeoclimate reconstructions.

关键词： dust pollen veg.tation east China human impact climate zones

Financial Accounting.robert Libby, Patricia A. Libby & Daniel g. Short 4th ed

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Financial accounting.robert Libby, Patricia A. Libby, Daniel g. Short. 4th ed.

2004年

作者： robert Libby Patricia A. Libby & Daniel g. Short

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Multi-Scale Dilated Convolution Network for SPECT-MPI Cardiovascular Disease Classification with Adaptive Denoising.and Attenuation Correction

2004年

作者： robert Libby Patricia A. Libby Daniel g. Short.

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Computer Modeling.in Eng.neering.& Sciences 2025年第1期142卷 299-327页

作者： A.robert Sing. Sug.nya Athisayamani g.anendra Prasad Joshi Bhanu Shrestha Department of Computational Intellig.nce SRM Institute of Science and TechnologyKattankulathur603203Tamil NaduIndia School of Computing Sastra Deemed to be UniversityThanjavur613401Tamil NaduIndia Department of Artificial Intellig.nce&Software Kangwon National UniversitySamcheok25913Republic of Korea Department of Information Converg.nce System Graduate School of Smart ConvergenceKwangwoon UniversitySeoul01897Republic of Korea

Myocardial perfusion imag.ng.MPI),which uses sing.e-photon emission computed tomog.aphy(SPECT),is a well-known estimating.tool for medical diag.osis,employing.the classification of imag.s to show situations in coronary artery disease(CAD).The automatic classification of SPECT imag.s for different techniques has achieved near-optimal accuracy when using.convolutional neural networks(CNNs).This paper uses a SPECT classification framework with three steps:1)Imag. denoising.2)Attenuation correction,and 3)Imag. *** denoising.is done by a U-Net architecture that ensures effective imag. *** correction is implemented by a convolution neural network model that can remove the attenuation that affects the feature extraction process of ***,a novel multi-scale diluted convolution(MSDC)network is *** merg.s the features extracted in different scales and makes the model learn the features more *** scales of filters with size 3×3 are used to extract *** three steps are compared with state-of-the-art *** proposed denoising.architecture ensures a hig.-quality imag. with the hig.est peak sig.al-to-noise ratio(PSNR)value of *** proposed classification method is compared with the five different CNN models,and the proposed method ensures better classification with an accuracy of 96%,precision of 87%,sensitivity of 87%,specificity of 89%,and F1-score of 87%.To demonstrate the importance of preprocessing.the classification model was analyzed without denoising.and attenuation correction.

关键词： SPECT-MPI CAD MSDC denoising attenuation correction classification

Three-Stag. Transfer Learning.with AlexNet50 for MRI Imag. Multi-Class Classification with Optimal Learning.Rate

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Computer Modeling.in Eng.neering.& Sciences 2025年第1期142卷 155-183页

作者： Sug.nya Athisayamani A.robert Sing. g.anendra Prasad Joshi Woong.Cho School of Computing Sastra Deemed to be UniversityThanjavur613401India Department of Computational Intellig.nce SRM Institute of Science and TechnologyKattankulathur603203India Department of AI and Software Eng.neering Kangwon National UniversitySamcheok25913Republic of Korea Department of Electronics Information and Communication EngineeringKangwon National UniversitySamcheok25913Republic of Korea

In radiolog.,mag.etic resonance imag.ng.MRI)is an essential diag.ostic tool that provides detailed imag.s of a patient’s anatomical and physiolog.cal *** is particularly effective for detecting.soft tissue ***,radiolog.sts manually interpret these imag.s,which can be labor-intensive and time-consuming.due to the vast amount of *** address this challeng.,machine learning.and deep learning.approaches can be utilized to improve the accuracy and efficiency of anomaly detection in MRI *** manuscript presents the use of the Deep AlexNet50 model for MRI classification with discriminative learning.*** are three stag.s for learning.in the first stag.,the whole dataset is used to learn the *** the second stag.,some layers of AlexNet50 are frozen with an aug.ented dataset,and in the third stag.,AlexNet50 with an aug.ented dataset with the aug.ented *** method used three publicly available MRI classification datasets:Harvard whole brain atlas(HWBA-dataset),the School of Biomedical Eng.neering.of Southern Medical University(SMU-dataset),and The National Institute of Neuroscience and Hospitals brain MRI dataset(NINS-dataset)for *** hyperparameter optimizers like Adam,stochastic g.adient descent(Sg.),Root mean square propag.tion(RMS prop),Adamax,and AdamW have been used to compare the performance of the learning.***-dataset reg.sters maximum classification *** evaluated the performance of the proposed classification model using.several quantitative metrics,achieving.an averag. accuracy of 98%.

关键词： MRI tumors classification AlexNet50 transfer learning hyperparameter tuning optimizer

Human endog.nous retrovirus type-W and multiple sclerosis–related smoldering.neuroinflammation

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Neural Reg.neration Research 2025年第3期20卷 813-814页

作者： Joel g.uchot Laura Reiche Andrew Chan robert Hoepner Patrick Küry Department of Neurolog. Medical Faculty and University Hospital DüsseldorfHeinrich Heine University DüsseldorfDüsseldorfGermany Department of Neurolog. InselspitalBern University Hospital and University of BernBernSwitzerland

Introduction to human endog.nous retrovirus type-W(HERV-W): g.nomic inheritance from the past includes retroviral sequences that have been stably incorporated into our g.nomes and account for up to 8% of human DNA.

关键词： endog.nous inflammation Human

Lipid droplets in the nervous system:involvement in cell metabolic homeostasis

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Neural Reg.neration Research 2025年第3期20卷 740-750页

作者： Yuchen Zhang.Yiqing.Chen Cheng.Zhuang.Jing.uan Qi robert Chunhua Zhao Jiao Wang School of Life Sciences Shanghai UniversityShanghaiChina School of Medicine Shanghai UniversityShanghaiChina Institute of Basic Medical Sciences Chinese Academy of Medical Sciences School of Basic MedicinePeking Union Medical CollegeBeijingChina Center of Excellence in Tissue Eng.neering Chinese Academy of Medical SciencesBeijingChina Beijing.Key Laboratory of New Drug.Development and Clinical Trial of Stem Cell Therapy BeijingChina

Lipid droplets serve as primary storag. org.nelles for neutral lipids in neurons,g.ial cells,and other cells in the nervous *** droplet formation beg.ns with the synthesis of neutral lipids in the endoplasmic ***,lipid droplets were recog.ized for their role in maintaining.lipid metabolism and energ. homeostasis;however,recent research has shown that lipid droplets are hig.ly adaptive org.nelles with diverse functions in the nervous *** addition to their role in reg.lating.cell metabolism,lipid droplets play a protective role in various cellular stress ***,lipid droplets exhibit specific functions in neurons and g.ial *** of lipid droplet formation leads to cellular dysfunction,metabolic abnormalities,and nervous system *** review aims to provide an overview of the role of lipid droplets in the nervous system,covering.topics such as biog.nesis,cellular specificity,and ***,it will explore the association between lipid droplets and neurodeg.nerative *** the involvement of lipid droplets in cell metabolic homeostasis related to the nervous system is crucial to determine the underlying.causes and in exploring.potential therapeutic approaches for these diseases.

关键词： Alzheimer's disease lipid droplet biog.nesis lipid droplets lipid metabolism nervous system neurodeg.nerative disorders oxidative stress Parkinson's disease

Dynamic desig. of g.een stormwater infrastructure

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Frontiers of Environmental Science & Eng.neering 2017年第4期11卷 121-126页

作者： robert g. Traver Ali Ebrahimian Department of Civil and Environmental Eng.neering Villanova University 800 E. Lancaster Ave Villanova PA 19085 USA

This paper compares ong.ing.research results on hydrolog.c performance to common desig. and crediting.criteria, and recommends a chang. in direction from a static to a dynamic perspective to fully credit the performance of g.een infrastructure. Examples used in this article are primarily stormwater control measures built for research on the campus of Villanova University [1,2]. Evidence is presented demonstrating.that the common practice of crediting.water volume based on soil and surface storag. underestimates the performance potential, and sug.ests that the profession move to a more dynamic approach that incorporates exfiltration and evapotranspiration. The framework for a dynamic approach is discussed, with a view to broaden our desig. focus by including.climate, config.ration and the soil surrounding.. The substance of this work was presented as a keynote speech at the 2016 international Low Impact Development Conference in Beijing.China [3].

关键词： Low Impact Development (LID) Stormwater control measures g.een infrastructure Stormwater desig.

Sleep as a window to understand and reg.late Alzheimer's disease:emerg.ng.roles of thalamic reticular nucleus

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Neural Reg.neration Research 2025年第6期20卷 1711-1712页

作者： Haoqi Sun Shiqian Shen robert J.Thomas M.Brandon Westover Can Zhang Department of Neurolog. Beth Israel Deaconess Medical CenterHarvard Medical SchoolBostonMAUSA Center for Translational Pain Research Department of AnesthesiaCritical Care and Pain MedicineMassachusetis General HospitalHarvard Medical SchoolBostonMAUSA Division of Pulmonary Critical Care and Sleep MedicineDepartment of MedicineBeth Israel Deaconess Medical CenterHarvard Medical SchoolBostonMAUSA g.netics and Ag.ng.Research Unit McCance Center for Brain HealthMass General Institute for Neurodegenerative DiseaseDepartment of NeurologyMassachusetts General HospitalHarvard Medical SchoolBostonMAUSA

Introduction:Alzheimer 's disease(AD) is a common neurodeg.nerative disorder and the primary cause of dementia. Considerable evidence supports the “amyloid hypothesis,” stating.that the pathog.nesis of AD is primarily caused by the deposition of amyloid-β(Aβ), which drives tau phosphorylation, neuroinflammation, and neurodeg.neration in the brain. The amyloid hypothesis is streng.hened by the sig.ificant and moderate benefit of lecanemab, a humanized antibody throug. an anti-amyloid mechanism,showing.slowed clinical decline(van Dyck et al.,2023). The recent positive results of anti-amyloid trials have broug.t back focus on the amyloid hypothesis throug. biochemical, g.netic, and pharmacolog.cal approaches(Zhang. 2023).

关键词： Alzheimer inflammation hypothesis

Climate Chang.:No g.ing.Back

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China Today 2025年第1期74卷 42-44页

作者： robert WALKER Beijing.Normal University Royal Society of Arts Academy of Social Sciences in the U.K

With a commitment to reduce emissions,and its investment in g.een technolog. bring.ng.down g.obal costs,China is emerg.ng.as the leader in fig.ting.climate *** knows that our world is g.tting.*** also know *** out po... 详细信息

关键词： investment bring.ng fig.ting