检索结果-南通市图书馆

Rare Metals 2024年第10期43卷 5256-5267页

作者： Jie Xiong Bo-Wen Bai Hao-Ran Jiang Angeles Faus-Golfe Materials Genome Institute Shanghai University Institute of Special Environments Physical Sciences Harbin Institute of Technology Laboratoire de Physique des 2 Infinis Irene Joliot-Curie (ijclab) CNRS-IN2P3Universite′Paris-Saclay

Fe-based metallic glasses have garnered significant attention due to their low coercivity force and core loss. Enhancing the saturation magnetic flux density(Bs) of Fe-based metallic glasses is crucial for their industry applications. This work constructed a dataset comprising330 training data and 157 test data. The support vector regression model surpassed the tree-based ensemble models in the test set and demonstrated comparable accuracy to the tree-based ensemble models in the training set. Additionally, we proposed an indicator for Bsbased on symbolic regression. This newly proposed indicator exhibits a Pearson correlation coefficient exceeding 0.92 with Bs. The present work provides a simple and accurate formula for predicting the Bsof Fe-based amorphous alloys, demonstrating the effectiveness of machine learning approaches in discovering novel soft magnetic materials.

关键词： Fe-based metallic glasses Machine learning Saturation magnetic flux density Symbolic regression

Prompt neutron emission in ^(250)No spontaneous fission associated with ground and isomeric state decays

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Chinese Physics C 2024年第6期48卷 112-117页

作者： R.S.Mukhin A.V.Isaev A.V.Andreev M.L.Chelnokov V.I.Chepigin H.M.Devaraja I.N.Izosimov A.A.Kuznetsova O.N.Malyshev A.G.Popeko Yu.A.Popov A.Rahmatinejad B.Sailaubekov T.M.Shneidman E.A.Sokol A.I.Svirikhin M.S.Tezekbayeva M.A.Bychkov A.V.Yeremin O.Dorvaux B.Gall K.Kessaci K.Hauschild A.Lopez-Martens Joint Institute for Nuclear Research Dubna141980Russia Dubna State University Dubna141982Russia Institute of Nuclear Physics Almaty050032Kazakhstan L.N.Gumilyov Eurasian National University Astana010008Kazakhstan Kazan Federal University Kazan420008Russia Universitéde Strasbourg CNRSStrasbourg67000France ijclab IN2P3-CNRSUniversitéParis-SaclayOrsay91400France

The complete-fusion reaction^(204)Pb(^(48)Ca,2n)^(250)No was used to study two activities of^(250)No with distinct half-lives.A total of 1357 events were observed in the SFiNx neutron detection *** average number of neutrons emitted per spontaneous fission of^(250)No was determined to be(4.1±0.1).The unusually symmetrical shape of the prompt neutron multiplicity distribution was restored and presented for the first *** tests were performed to compare the prompt neutron multiplicity distributions associated with the ground state and K-isomer state decays.

关键词： spontaneous fission prompt neutrons actinide

State of health estimation for lithium-ion battery based on particle swarm optimization algorithm and extreme learning machine

在线全文

学校读者我要写书评

暂无评论

Green Energy and Intelligent Transportation 2024年第1期3卷 46-54页

作者： Kui Chen Jiali Li Kai Liu Changshan Bai Jiamin Zhu Guoqiang Gao Guangning Wu Salah Laghrouche School of Electrical Engineering Southwest Jiaotong UniversityChengdu611756China FEMTO-ST UMR CNRS 6174and FCLABFR CNRS 3539UniversitéBourgogne Franche-ComtéBelfortUTBM90000France

Lithium-ion battery State of Health(SOH)estimation is an essential issue in battery management *** order to better estimate battery SOH,Extreme Learning Machine(ELM)is used to establish a model to estimate lithium-ion battery *** Swarm Optimization algorithm(PSO)is used to automatically adjust and optimize the parameters of ELM to improve estimation ***,collect cyclic aging data of the battery and extract five characteristic quantities related to battery capacity from the battery charging curve and increment capacity *** Grey Relation Analysis(GRA)method to analyze the correlation between battery capacity and five characteristic ***,an ELM is used to build the capacity estimation model of the lithium-ion battery based on five characteristics,and a PSO is introduced to optimize the parameters of the capacity estimation *** proposed method is validated by the degradation experiment of the lithium-ion battery under different *** results show that the battery capacity estimation model based on ELM and PSO has better accuracy and stability in capacity estimation,and the average absolute percentage error is less than 1%.

关键词： Lithium-ion battery State of health estimation Grey relation analysis method Particle swarm optimization algorithm Extreme learning machine

A global analysis of the introduction pathways and characteristics associated with non-native fish species introduction, establishment, and impacts

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Ecological Processes 2024年第2期13卷 16-31页

作者： Camille Bernery Céline Bellard Franck Courchamp Sébastien Brosse Boris Leroy cnrs Agro Paris Tech Ecologie Systématique Evolution Université Paris-Saclay Unité Biologie des Organismes et Ecosystèmes Aquatiques (BOREA UMR 8067) Muséum National d’Histoire Naturelle Sorbonne Universités Université de Caen Normandie Université des Antilles CNRS IRD Laboratoire évolution & Diversité Biologique (EDB UMR5174) Université Paul Sabatier-Toulouse 3 CNRS IRD UPS

Background The invasion success of introduced freshwater fishes is influenced by many factors, including ecological, species, and socioeconomic characteristics. Most studies that document the importance of these characteristics are conducted at local scales and/or focus on a single step of the invasion process. In this study, we aim to determine the species characteristics, ecological characteristics, and socioeconomic characteristics of non-native freshwater fish invasions. Our assessment was done at the global scale and considers all three steps of the invasion(i.e., introduction, establishment, and impact). For this purpose, we applied generalized linear models to 20 variables collected for 307 non-native species and modeled them as a function of ecological characteristics(i.e., environmental features), species traits(i.e., functional and morphological), and socioeconomic characteristics(i.e., human use and introduction pathways). We considered the number of countries in which each species was introduced, established, or had ecological impacts as a proxy of invasion step success. We also explored the specifics of species introduced through the aquaculture and the ornamental fish trade *** We found that non-native freshwater fishes with broad diets, high parental care, and multiple introduction pathways are the most widely introduced and established worldwide. The number of countries with impacts reported was best explained by the type of introduction pathway(i.e., aquaculture or fisheries). Moreover, among non-native species introduced through aquaculture, those belonging to Cypriniformes and having broad diets were the most widely introduced and established species. In contrast, the species introduced through the ornamental fish trade pathway belonged to various taxonomic orders but were mainly native to tropical *** Considering several types of factors is important when analyzing the invasion success of freshwater fish and disentang

关键词： Aquaculture Ecology Exotic Freshwater fish Introduction pathway Invasion step Morphology Ornamental fish trade Socioeconomic Trait

NRF2 signaling cascade in amyotrophic lateral sclerosis:bridging the gap between promise and reality

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Neural Regeneration Research 2024年第5期19卷 1006-1012页

作者： Pauline Tarot Christelle Lasbleiz Jean-Charles Liévens MMDN Univ MontpellierEPHEINSERMMontpellierFrance cnrs ParisFranceEPHEINSERMMontpellierFrance

Amyotrophic lateral sclerosis is a very disabling disease due to the degeneration of motor *** include muscle weakness and atrophy,spasticity,and progressive ***,there is no treatment to reverse damage to motor neurons and cure amyotrophic lateral *** only two treatments actually approved,riluzole and edaravone,have shown mitigated beneficial *** difficulty to find a cure lies in the complexity and multifaceted pattern of amyotrophic lateral sclerosis *** mechanisms,abnormal RNA metabolism,nucleocytoplasmic transport defects,accumulation of unfolded protein,and mitochondrial dysfunction would in fine induce oxidative damage and vice versa.A potent therapeutic strategy will be to find molecules that break this vicious *** the nuclear factor erythroid-2 related factor 2 signaling may fulfill this objective since nuclear factor erythroid-2 related factor 2 has a multitarget profile controlling antioxidant defense,mitochondrial functioning,and *** here discuss the interest of developing nuclear factor erythroid-2 related factor 2-based therapy in regard to the pathophysiological mechanisms and we provide a general overview of the attempted clinical assays in amyotrophic lateral sclerosis.

关键词： amyotrophic lateral sclerosis C9orf72 NRF2 oxidative defense oxidative stress sulforaphane superoxide dismutase 1 TDP43

Nonaqueous potassium-ion full-cells:Mapping the progress and identifying missing puzzle pieces

在线全文

学校读者我要写书评

暂无评论

Journal of Energy Chemistry 2024年第6期93卷 384-399,I0010页

作者： Badre Larhrib Louiza Larbi Lénaïc Madec Universite de Pau et des Pays de l’Adour E2S UPPACNRSIPREMPauFrance Universitéde Haute-Alsace Institut de Science des Matériaux de Mulhouse(IS2M)CNRS UMR 7361F-68100 MulhouseFrance Universitéde Strasbourg F-67081 StrasbourgFrance Réseau sur le Stockage Electrochimique de l’Energie CNRS FR3459AmiensFrance Institut des Matériaux Jean Rouxel(IMN) CNRS UMR 6502Univ.Nantes44322 Cedex 3 NantesFrance

This review addresses the growing interest for potassium-ion full-cells(KIFCs)in view of the transition from potassium-ion half-cells(KIHCs)toward commercial K-ion batteries(KIBs).It focuses on the key parameters of KIFCs such as the electrode/electrolyte interfaces challenge,major barriers,and recent advancements in *** strategies for enhancing KIFC performance,including interfaces co ntrol,electrolyte optimization,electrodes capacity ratio,electrode material screening and electrode design,are *** review highlights the need to evaluate KIBs in full-cell configurations as half-cell results are strongly impacted by the K metal *** also emphasizes the importance of understanding solid electrolyte interphase(SEI)formation in KIFCs and explores promising nonaqueous as well as quasiand all-solid-state electrolytes *** review thus paves the way for practical,cost-effective,and scalable KIBs as energy storage systems by offering insights and guidance for future research.

关键词： K-ion full-cells Potassium-ion batteries Cross-talk Solid-state batteries Potassium reactivity Electrolyte design Electrode design

Quantitative Mapping of Transient Thermodynamic States in Ultrafast Laser Nanostructuring of Quartz

在线全文

学校读者我要写书评

暂无评论

Ultrafast Science 2024年第2期4卷 9-18页

作者： H.D.Nguyen A.Tsaturyan S.Sao Joao R.Dwivedi A.Melkonyan C.D’Amico E.Kachan J.P.Colombier G.Kermouche R.Stoian Laboratoire Hubert Curien UMR 5516 CNRSUniversite Jean Monnet42000 Saint EtienneFrance Laboratoire George Friedel UMR 5307 CNRSEcole des Mines de Saint Etienne42000 Saint EtienneFrance

Understanding material structural reaction to light is of utmost importance to advance processing resolution in ultrafast laser volume structuring into the *** thermodynamic pathways are required to quench energy transport in the most rapid manner and to confine the process to nanometer lengths,bypassing optical *** material dynamics under confinement,with in situ access to transient local temperature and density parameters,thus becomes key in understanding the *** report in situ reconstruction of thermodynamic states over the entire matter relaxation path in bulkα-quartz irradiated by ultrafast nondiffractive laser beams using time-resolved qualitative and quantitative optical phase *** dynamics indicate rapid spatially confined crystalline-to-amorphous transition to a hot dense fused silica *** exceeds 20%and the matrix temperature rises to more than 2,000 K in the first *** structural state relaxes in hundreds of *** dispersion and time design of the optical beam to picosecond durations increases the spatial confinement and triggers an extreme nanostructuring process based on nanocavitation that occurs within the amorphizing material,where the low-viscosity phase lowers the mechanical requirements for the *** feature scales of less than a tenth of the optical wavelength are obtained in the *** allows for structural and morphological nanoscale material features under 3D confinement that can engineer optical materials.

关键词： Quartz hundreds qualitative

Solar wind ion charge state distributions and compound cross sections for solar wind charge exchange X-ray emission

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Earth and Planetary Physics 2024年第1期8卷 105-118页

作者： Dimitra Koutroumpa LATMOS-OVSQ CNRSUVSQ Paris-SaclaySorbonne Université11 Boulevard d’Alembert78280GuyancourtFrance

Solar Wind Charge eXchange X-ray(SWCX) emission in the heliosphere and Ea rth’s exosphere is a hard to avoid signal in soft Xray obse rvations of astrophysical *** the other hand,the X-ray imaging possibilities offered by the SWCX process has led to an increasing number of future dedicated space missions for investigating the solar wind-terrestrial inte ractions and magnetospheric *** both cases,accurate modelling of the SWCX emission is key to correctly interpret its signal,and remove it from obse rvations,when *** this paper,we compile solar wind abundance measurements from ACE for different solar wind types,and atomic data from literature,including charge exchange cross-sections and emission probabilities,used fo r calculating the compound cross-section a for the SWCX X-ray *** calculate a values for charge-exchange with H and He,relevant to soft X-ray energy bands(0.1-2.0 keV)for various solar wind types and solar cycle conditions.

关键词： solar wind charge exchange X-rays magnetosphere heliosphere

The TELOMERE REPEAT BINDING proteins TRB4 and TRB5 function as transcriptional activators of PRC2-controlled genes to regulate plant development

在线全文

学校读者我要写书评

暂无评论

Plant Communications 2024年第7期5卷 178-199页

作者： Simon Amiard Léa Feit Emmanuel Vanrobays Lauriane Simon Samuel Le Goff Loriane Loizeau Léa Wolff Falk Butter Clara Bourbousse Fredy Barneche Christophe Tatout Aline V.Probst iGReD CNRSInsermUniversite´Clermont Auvergne63000 Clermont-FerrandFrance Institut de biologie de I’Ecole normale supe´rieure(IBENS) Ecole normale supe´rieureCNRSINSERMUniversite´PSLParisFrance Institute of Molecular Biology 55128 MainzGermany

Plant-specific transcriptional regulators called TELOMERE REPEAT BINDING proteins(TRBs)combine two DNA-binding domains,the GH1 domain,which binds to linker DNA and is shared with H1 histones,and the Myb/SANT domain,which specifically recognizes the telobox DNA-binding site ***1,TRB2,and TRB3 proteins recruit Polycomb group complex 2(PRC2)to deposit H3K27me3 and JMJ14 to remove H3K4me3 at gene promoters containing telobox motifs to repress ***,we demonstrate that TRB4 and TRB5,two related paralogs belonging to a separate TRB clade conserved in spermatophytes,regulate the transcription of several hundred genes involved in developmental responses to environmental ***4 binds to several thousand sites in the genome,mainly at transcription start sites and promoter regions of transcriptionally active and H3K4me3-marked genes,but,unlike TRB1,it is not enriched at H3K27me3-marked gene ***,TRB4 can physically interact with the catalytic components of PRC2,SWINGER,and CURLY LEAF(CLF).Unexpectedly,we show that TRB4 and TRB5 are required for distinctive phenotypic traits observed in clf mutant plants and thus function as transcriptional activators of several hundred CLF-controlled genes,including key flowering *** further demonstrate that TRB4 shares multiple target genes with TRB1 and physically and genetically interacts with members of both TRB ***,these results reveal that TRB proteins engage in both positive and negative interactions with other members of the family to regulate plant development through both PRC2-dependent and-independent mechanisms.

关键词： chromatin TRB proteins transcriptional regulation PRC2 plant development

Topology reduction through machine learning to accelerate dynamic simulation of district heating

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Energy and AI

Energy and AI 2024年第3期17卷 247-260页

作者： Dubon Rodrigue Mohamed Tahar Mabrouk Bastien Pasdeloup Patrick Meyer Bruno Lacarrière IMT Atlantique GEPEAUMR CNRS 61444 rue Alfred KastlerNantesF-44307France IMT Atlantique Lab-STICCUMR CNRS 6285655 Av.du TechnopoleBrestF-29238France

District heating networks (DHNs) provide an efficient heat distribution solution in urban areas, accomplished through interconnected and insulated pipes linking local heat sources to local consumers. This efficiency is further enhanced by the capacity of these networks to integrate renewable heat sources and thermal storage systems. However, integration of these systems adds complexity to the physical dynamics of the network, necessitating complex dynamic simulation models. These dynamic physical simulations are computationally expensive, limiting their adoption, particularly in large-scale networks. To address this challenge, we propose a methodology utilizing Artificial Neural Networks (ANNs) to reduce the computational time associated with the DHNs dynamic simulations. Our approach consists in replacing predefined clusters of substations within the DHNs with trained surrogate ANNs models, effectively transforming these clusters into single nodes. This creates a hybrid simulation framework combining the predictions of the ANNs models with the accurate physical simulations of remaining substation nodes and pipes. We evaluate different architectures of Artificial Neural Network on diverse clusters from four synthetic DHNs with realistic heating demands. Results demonstrate that ANNs effectively learn cluster dynamics irrespective of topology or heating demand levels. Through our experiments, we achieved a 27% reduction in simulation time by replacing 39% of consumer nodes while maintaining acceptable accuracy in preserving the generated heat powers by sources.

关键词： District heating network Topology reduction Artificial neural networks Hybrid modeling Graph based formulation