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International Journal of Sediment research 2022年第4期37卷 447-456页

作者： kirstie Fryirs Chris Thompson Damian Gore School of Natural Sciences Macquarie University Seqwater

The aim of this study was to establish the source and provenance of sediments deposited in a large floodplain sink during extreme floods in the Lockyer Creek catchment, Australia, in 2011 and 2013. We place the sediment source patterns in context of the longer-term record to determine whether coarsegrained sediment sources(i.e., very fine sand to very coarse sand) and the spatio-temporal pattern of(dis)connectivity have changed over time. We do this by matching the geochemical properties and age structure of a sediment profile located in a downstream floodplain sink to the elemental composition of source sediments. One hundred and fifty-seven sediment samples from 20 sites across the catchment are analysed using X-ray fluorescence(XrF) spectrometry to compare the elemental ratio composition of the downstream floodplain sink to its source materials. We use Optically Stimulated Luminescence(OSL)dating to determine the age structure of the sediments in the floodplain sink. The northern tributaries and parts of the Lockyer river trunk stream are the primary sources of coarse sediment. These areas are connected(coupled) to the lower trunk stream and floodplain sediment sink. Southern tributaries are largely disconnected(decoupled) and supply little sediment to the floodplain sediment sink. This pattern of sediment source contribution has remained similar over the last 6.8 ka at least. Sediment sources as observed in the 2011 flood have predominated over the mid-late Holocene whilst those in the 2013 flood are rare.

关键词： Sediment provenance Geomorphology Sediment source Sediment sink Lockyer Valley

Additive manufacturing(3D printing)of electrically conductive polymers and polymer nanocomposites and their applications

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eScience 2022年第4期2卷 365-381页

作者： kirstie.r.ryan Michael P.Down Nicholas J.Hurst Edmund M.Keefe Craig E.Banks Faculty of Science and Engineering Manchester Metropolitan UniversityChester StreetManchesterM15GDUK

Additive manufacturing,or three-dimensional(3D)printing,offers a unique solution for fabricating complex geometries with high ***,many commercial additive manufacturing machines focus on the printing of polymers with limited ***,conductive polymers(CPs)can be processed to enable the additive manufacturing of conductive,low-density,and low-cost parts for a myriad of *** review summarizes the relevant achievements in the additive manufacturing of conductive polymers(CPs)and conductive polymer nanocomposites,with a discussion of the advantages and limitations of processing and printing these materials compared with alternative traditional manufacturing methods and their ***,the prospective applications of these additive manufacturing printed conductive materials are explored.

关键词： Conducting polymers Additive manufacturing Electrochemcial applications Supercapacitors Batteries

Machine Learning Techniques in Predicting Hot Deformation Behavior of Metallic Materials

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 713-732页

作者： Petr Opela Josef Walek Jaromír Kopecek Department of Metallurgical Technologies Faculty of Materials Science and TechnologyVSB–Technical University of OstravaOstrava70800Czech Republic FZU—Institute of Physics of the Czech Academy of Sciences Prague18200Czech Republic

In engineering practice,it is often necessary to determine functional relationships between dependent and independent *** relationships can be highly nonlinear,and classical regression approaches cannot always provide sufficiently reliable ***,Machine Learning(ML)techniques,which offer advanced regression tools to address complicated engineering issues,have been developed and widely *** study investigates the selected ML techniques to evaluate their suitability for application in the hot deformation behavior of metallic *** ML-based regression methods of Artificial Neural Networks(ANNs),Support Vector Machine(SVM),Decision Tree regression(DTr),and Gaussian Process regression(GPr)are applied to mathematically describe hot flow stress curve datasets acquired experimentally for a medium-carbon *** the GPr method has not been used for such a regression task before,the results showed that its performance is the most favorable and practically unrivaled;neither the ANN method nor the other studied ML techniques provide such precise results of the solved regression analysis.

关键词： Machine learning Gaussian process regression artificial neural networks support vector machine hot deformation behavior

Emerging potential of progranulin-dependent SorCS2 signaling in healthy and diseased nervous systems

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Neural regeneration research 2025年第9期20卷 2591-2593页

作者： Alena Salasova Anders Nykjær Danish research Institute of Translational Neuroscience DANDrITE-Nordic EMBL Partnership for Molecular Medicine and Centre of Excellence PROMEMODepartment of BiomedicineAarhus UniversityAarhusDenmark

The formation of the mammalian nervous system and its maturation into sensory,motor,cognitive,and behavioral circuits is a complex process that begins during early embryogenesis and lasts until young *** neurodevelopm... 详细信息

关键词： progr jointly CS2

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A comprehensive investigation on nonlinear vibration and bending characteristics of bio-inspired helicoidal laminated composite structures

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Applied Mathematics and Mechanics(English Edition) 2025年第1期46卷 81-100页

作者： S.SAUrABH r.KIrAN D.SINGH r.VAISH V.S.CHAUHAN School of Mechanical and Materials Engineering Indian Institute of Technology Mandi

Bio-inspired helicoidal composite laminates, inspired by the intricate helical structures found in nature, present a promising frontier for enhancing the mechanical properties of structural designs. Hence, this study provides a comprehensive investigation into the nonlinear free vibration and nonlinear bending behavior of bio-inspired composite plates. The inverse hyperbolic shear deformation theory(IHSDT) of plates is employed to characterize the displacement field, with the incorporation of Green-Lagrange nonlinearity. The problem is modeled using the C0finite element method(FEM), and an in-house code is developed in the MATLAB environment to solve it numerically. Various helicoidal layup configurations including helicoidal recursive(Hr), helicoidal exponential(HE), helicoidal semi-circular(HS), linear helicoidal(LH), and Fibonacci helicoidal(FH)with different layup sequences and quasi-isotropic configurations are studied. The model is validated, and parametric studies are conducted. These studies investigate the effects of layup configurations, side-to-thickness ratio, modulus ratios, boundary conditions, and loading conditions at different load amplitudes on the nonlinear vibration and nonlinear bending behaviors of bio-inspired composite plates. The results show that the laminate sequence exerts a substantial impact on both nonlinear natural frequencies and nonlinear bending behaviors. Moreover, this influence varies across different side-to-thickness ratios and boundary conditions of the bio-inspired composite plate.

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Deep material network via a quilting strategy: visualization for explainability and recursive training for improved accuracy

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npj Computational Materials 2023年第1期9卷 1023-1038页

作者： Dongil Shin ryan Alberdi ricardo A.Lebensohn rémi Dingreville Center for Integrated Nanotechnologies Sandia National LaboratoriesAlbuquerqueNM 87185USA Simulation Modeling Sciences Sandia National LaboratoriesAlbuquerqueNM 87185USA Theoretical Division Los Alamos National LaboratoryLos AlamosNM 87845USA

recent developments integrating micromechanics and neural networks offer promising paths for rapid predictions of the response of heterogeneous materials with similar accuracy as direct numerical *** deep material network is one such approaches,featuring a multi-layer network and micromechanics building blocks trained on anisotropic linear elastic *** trained,the network acts as a reduced-order model,which can extrapolate the material’s behavior to more general constitutive laws,including nonlinear behaviors,without the need to be ***,current training methods initialize network parameters randomly,incurring inevitable training and calibration ***,we introduce a way to visualize the network parameters as an analogous unit cell and use this visualization to“quilt”patches of shallower networks to initialize deeper networks for a recursive training *** result is an improvement in the accuracy and calibration performance of the network and an intuitive visual representation of the network for better explainability.

关键词： networks Deep network

Antisense oligonucleotides provide optimism to the therapeutic landscape for tauopathies

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Neural regeneration research 2025年第3期20卷 803-804页

作者： Glenn A.Harris Lauren r.Hirschfeld rainwater Charitable Foundation Fort WorthTXUSA

Tauopathies are a group of neurodegenerative diseases characterized by abnormal metabolism of the misfolded tau protein. Tau is encoded by the microtubule-associated protein tau gene(MAPT) and can be classified as either 3-repeat(3r) or 4-repeat(4r) based on the number of repeat domains from alternative splicing of exon 10 of the MAPT gene.

关键词： tau metabolism diseases

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A rapid dehydration leaf assay reveals stomatal response differences in grapevine genotypes

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Horticulture research 2014年第1期1卷 322-329页

作者： Daniel W Hopper ryan Ghan Grant r Cramer Department of Biochemistry and Molecular Biology University of NevadaRenoNV 89557USA.

A simple and reliable way of phenotyping plant responses to dehydration was ***-developed leaves were detached and placed in a closed plastic box containing a salt solution to control the atmospheric water potential in the *** hours of dehydration(weight loss of the leaf)was optimal for measuring changes in stomatal response to *** of the plant hormone abscisic acid(ABA)prior to leaf detachment decreased the amount of water loss,indicating that the assay was able to detect differences based on a stomatal response to *** different Vitis genotypes(***,***,*** ***,*** *** and *** *** Sauvignon)with known differences in drought tolerance were screened for their dehydration response and the results obtained corresponded to previous reports of stomatal responses in the *** differences in stomatal density along with differences in the amount and rate of water lost indicate differences in dehydration sensitivity among the genotypes *** in stomatal response to ABA were also *** had the lowest stomatal density and the highest ABA sensitivity among the genotypes screened,yet Shiraz lost the most amount of water,indicating that it was the least sensitive to *** having the highest stomatal density and intermediate stomatal sensitivity to ABA,*** lost the smallest amount of water,indicating that it was the most sensitive to *** assay presented here represents a simple and reliable phenotyping method for plant responses to leaf dehydration.

关键词： smallest stomatal drought

Using our mini-brains: cerebral organoids as an improved cellular model for human prion disease

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Neural regeneration research 2020年第6期15卷 1019-1020页

作者： Bradley r.Groveman ryan walters Cathryn L.Haigh Laboratory of Persistent Viral Diseases National Institute of Allergy and Infectious Diseases Division of Intramural ResearchRocky Mountain Laboratories National Institutes of Health

Neurodegenerative diseases are an ever-increasing burden in an aging *** no cure is available for any of these diseases and treatment is based on managing *** many candidate therapeutics demonstrating promise in animal models,none has yet shown efficacy in human *** is self-evident that humans are different from the animals used to model our diseases,especially models that have been highly manipulated to generate a disease in an animal that does not naturally have such a *** differences are likely the reason for the failures of drug candidates in human trials but,until recently,human models of neurodegenerative diseases were *** development of the human cerebral organoid model,by differentiating three-dimensional human neuronal tissue from pluripotent stem cells,represents a significant advance in studying human brain *** organoids have been used to model Alzheimer’s disease,Parkinson’s disease,Down’s syndrome dementia and we have now shown they can be infected with human prions creating a new model of human prion diseases.

关键词： cerebral likely spite

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Normalized urban heat island (UHI) indicators: Classifying the temporal variation of UHI for building energy simulation (BES) applications

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Building Simulation 2023年第9期16卷 1645-1658页

作者： Manan Singh ryan Sharston Florida Institute for Built Environment resilience(FIBEr) College of DesignConstruction and PlanningUniversity of FloridaGainesvilleFL 32601USA

Despite known effects of urban heat island(UHI)on building energy consumption such as increased cooling energy demand,typical building energy simulation(BES)practices lack a standardized approach to incorporate UHI into building energy *** seasonal and diurnal variation of UHI makes the task of incorporating UHI into BES an especially challenging task,often limited by the availability of detailed hourly temperature data at building *** paper addresses the temporal variation of UHI by deriving four normalized UHI indicators that can successfully capture the seasonal and diurnal variation of *** accuracy of these indicators was established across four climate types including hot and humid(Miami,FL),hot and dry(Los Angeles,CA),cold and dry(Denver,CO),and cold and humid(Chicago,IL),and three building types including office,hospital,and *** four indicators are mean summer daytime UHI,mean summer nighttime UHI,mean winter daytime UHI,and mean winter nighttime UHI,which can accurately predict cooling,heating,and annual energy consumption with mean relative error of less than 1%.Not only do these indicators simplify the application of UHI to BES but also,they provide a new paradigm for UHI data collection,storage,and usage,specifically for the purpose of BES.

关键词： building energy simulation(BES) UHI indicators UHI temporal variation urban temperature variation