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匈牙利的防痨工作

中国防痨杂志 1958年第4期11卷 30-33页

作者： L.Sebok t.németh 本会资料室

在匈牙利,防痨工作是从19世纪末开始的。比起欧洲其他国家来,匈牙利是结核病死亡率最高的国家中的一个;在1900-1905年间,每十万人口中死于结核的有400人。政府几乎不去关心这些病人,因此防痨工作就被认为是社会团体的责任,很多病人不得... 详细信息

在匈牙利,防痨工作是从19世纪末开始的。比起欧洲其他国家来,匈牙利是结核病死亡率最高的国家中的一个;在1900-1905年间,每十万人口中死于结核的有400人。政府几乎不去关心这些病人,因此防痨工作就被认为是社会团体的责任,很多病人不得不依靠慈善救济过生活;只有极少数有钱人能得到治疗。本世纪初在布达佩斯成立了“贫穷结核病患者疗养院协会”,创办人是有名的内科专家Frigyes Koranyi教授。协会于1901年开办一个120张床的伊莉白疗养院;这是第一个结核病疗养院,同年,成立了约瑟疗养院协会并在Alfold地方进行防痨工作。

关键词：防治所精核布达病人匈牙利萎陷疗法

Enhanced maximum energy product of(SmY)Fen caused by abundant yttrium doping

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Journal of Rare Earths 2020年第10期38卷 1060-1068,I0002页

作者： Jianwei Xu jingwu Zheng Haibo Chen Liang Qiao Yao ying Wei Cai Wangchang Li Jjing yu Min Lin Shenglei Che Research Center of Magnetic and Electronic Materials College of Materials Science and Engineering.Zhejiang University of TechnologyHangzhou 310014China Hangzhou Haisheng technology Co. LtdHangzhou 310019China Key Laboratory of Magmetic Materials and Devices.ningbo Institute of Material technologv&Engineering.Chinese Academy of Science Ningbo 315201China

Replacement of samarium(Sm) with abundant yttrium(Y) can help solve the pot.ntial shortage of Sm in the preparation of promising Sm2 Fe17 nx *** this article,phase composition,microstructure and magnetic properties of(Sm1-yYy)2 Fe17nx(y=0,0.2,0.4,0.6,0.8,1.0) were *** energy product(BH)max is improved when less than 40 at% Y is doped in(Sm1-yYy)2 Fe17nx *** particular,when 20 at% Y replaces Sm,(BH)max of(Sm1-yYy)2 Fe17nx powder increases by 15.1% from 131.7 to151.6 kJ/*** effect of annealing temperature on the structural properties of high Y doping(Sm0.6Y0.4)2 Fe17 and the magnetic properties of the corresponding nitrides were subsequently *** the RE2 Fe17 phase grain combination process,the interlaced structure of the rhombohedral th2 Zn17-type structural phase and the hexagonal th2 ni17-type structural phase is *** to shortrange exchange coupling,the nitride with the highest cont.nt of two interlaced RE2 Fe17 phases has the highest magnetic properties:Br=1.23 t,HcJ=443.9 kA/m and(BH)max=197.6 kJ/m3.

关键词： Sm2Fe17nx Y substitution Maximum energy product Annealing temperature Coexist.ng RE2Fe17 phases Rare earths

Deep convolutional Ritz method: parametric PDE surrogates without labeled data

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Applied Mathematics and Mechanics(English Edition) 2023年第7期44卷 1151-1174页

作者： J.n.FUHG A.KARMARKAR t.KADEEtHUM H.YOOn n.BOUKLAS Sibley School of Mechanical and Aerospace Engineering Cornell UniversityNew York 14853U.S.A Geomechanics Department Sandia National LaboratoriesAlbuquerque 87123U.S.A.

the parametric surrogate models for partial differential equations(PDEs)are a necessary component for many applications in computational sciences,and the convolutional neural networks(Cnns)have proven to be an excellent tool to generate these surrogates when parametric fields are *** are commonly trained on labeled data based on one-to-one sets of parameter-input and PDE-output ***,residual-based deep convolutional physics-informed neural network(DCPInn)solvers for parametric PDEs have been proposed to build surrogates without the need for labeled *** allow for the generation of surrogates without an expensive *** this work,we present an alternative formulation termed deep convolutional Ritz method(DCRM)as a parametric PDE *** approach is based on the minimization of energy functionals,which lowers the order of the differential operators compared to residualbased *** on studies involving the Poisson equation with a spatially parameterized source term and boundary conditions,we find that Cnns trained on labeled data outperform DCPInns in convergence speed and generalization *** surrogates generated from the DCRM,however,converge significantly faster than their DCPInn counterparts,and prove to generalize faster and better than the surrogates obtained from both Cnns trained on labeled data and *** hints that the DCRM could make PDE solution surrogates trained without labeled data possibly.

关键词： physics-informed constraint physics-informed neural network(PInn) deep energy network convolutional neural network(Cnn)

Dispersion Strengthening in Vanadium Microalloyed Steels Processed by Simulated thin Slab Cast.ng and Direct Rolling

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Dispersion Strengthening in Vanadium Microalloyed Steels Pro...

Cadmium sorption by sodium and thiourea-modified zeolite-rich tuffs

2006年薄板坯连铸连轧国际研讨会

作者： J.A.Wilson A.J.Craven P.S.Mitchell D.n.Crowther t.n Baker Department of Physics and Astronomy University of Glasgow Glasgow G12 8QQ UK Department of Physics and Astronomy University of Glasgow Glasgow G12 8QQ UK Vanitec Winterton House High Street Westerham Kent TN16 1AQ UK Corus Group Swinden Technology Centre Rotherham S60 3AR UK Metallurgy and Materials Engineering Group Department of Mechanical Engineering University of Strathclyde Glasgow. G1 1XJ UK

the dispersion strengthening of five low carbon (～0.06wt.%), vanadium (～0.1wt.%) , containing steels, V, V-n, V-ti-n, V-nb and V-nb-ti, where nitrogen was varied in the range 0.007-0.02 wt.%, produced

关键词： vanadium nitrogen vanadium microalloyed steel thin slab cast.ng and direct rolling dispersion strengthening

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Journal of Environmental Sciences 2017年第2期29卷 39-48页

作者： Perfecto Barragán P M.Guadalupe Macedo M Maria t.Olguín Instituto tecnologico de toluca Laboratorio de Investigacion en Ingenieria Ambiental.Av.Tecnologico S/NColonia Ex-Rancho La VirgenMetepecEstado de Meico CP.52140Mexico Instituto national de Investigaciones nucleares Departamento de QuimicaA.P.18-1027Col.EseandonDelegacion Miguel Hidalgo C.P.11801Mexico

In the present investigation, two zeolite-rich tuffs from Guaymas and El Cajon（State of Sonora）, which were conditioned with a sodium chloride solution and subsequently modified with a thiourea solution, were chosen to evaluate the removal of Cd from aqueous systems. the zeolitic materials were characterized by scanning electron microscopy and X-ray diffraction. the surface area was also determined. the experiments were performed in a batch system, and the influences of p H, contact time between phases, and the concentration of Cd in the solution on the adsorption by sodium or thiourea-modified zeolite-rich tuff were investigated. It was found that the efficiency of Cd ion removal from aqueous solutions is influenced by the p H of the aqueous systems. the Cd adsorption kinetic data were well fitted to a pseudo-second-order model in all cases. the Langmuir and Langmuir–Freundlich isotherms adequately described the Cd sorption behavior by the zeolite from El Cajon pretreated with na Cl and the zeolite from Guaymas modified with thiourea, respectively.

关键词： Cadmium Zeolite-rich-tuff Sorption Kinetics Isotherms

Influence of elastic foundations and carbon nanotube reinforcement on the hydrostatic buckling pressure of truncated conical shells

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Applied Mathematics and Mechanics(English Edition) 2020年第7期41卷 1011-1026页

作者： A.H.SOFIYEV I.t.PIRMAMEDOV n.KURUOGLU Department of Civil Engineering Suleyman Demirel UniversityIsparta 32260Turkey Department of Mathematics Azerbaijan Technical UniversityBaku 1073Azerbaijan Department of Civil Engineering Gelisim UniversityIstanbul 34310Turkey

In this study,the effects of elastic foundations(EFs)and carbon nanotube(Cnt)reinforcement on the hydrostatic buckling pressure(HBP)of truncated conical shells(tCSs)are *** first order shear deformation theory(FOSDt)is generalized to the buckling problem of tCSs reinforced with Cnts rest.ng on the EFs for the first *** material properties of composite tCSs reinforced with Cnts are graded linearly according to the thickness *** Winkler elastic foundation(W-EF)and Pasternak elastic foundation(P-EF)are considered as the *** basic relations and equations of tCSs reinforced with Cnts on the EFs are obtained in the framework of the FOSDt and solved using the Galerkin *** of the innovations in this study is to obtain a closed-form solution for the HBP of tCSs reinforced with Cnts on the ***,the effects of the EFs and various types Cnt reinforcements on the HBP are investigated *** obtained results are compared with the results in the literature,and the accuracy of results is confirmed.

关键词： truncated conical shell(tCS) carbon nanotube(Cnt) Winkler elastic foundation(W-EF) Pasternak elastic foundation(P-EF) hydrostatic pressure buckling

Development and characterization of photovoltaic t.ndemjunction nanowires using electron-beam-induced current measurements

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nano Research 2022年第9期15卷 8510-8515页

作者： Lukas Hrachowina Enrique Barrigón Magnus t.Borgström nanoLund and Divison of Solid State Physics Lund UniversityBox 11822100 LundSweden Universidad de Málaga Andalucía TechDepartamento de Física Aplicada ⅠCampus de Teatinoss/nMálaga 29071Spain

nanowires have many interest.ng properties that are of advantage for solar cells,such as the epitaxial combination of latticemismatched materials without plastic *** could be utilized for the synthesis of axial t.ndem-junction nanowire solar cells with high efficiency at low material ***-beam-induced current measurements have been used to optimize the performance of single-junction nanowire solar ***,we use electron-beam-induced current measurements to break the barrier to photovoltaic t.ndem-junction *** particular,we identify and subsequently prevent the occurrence of a parasitic junction when combining an InP n-i-p junction with a t.nnel ***,we demonstrate how to use optical and electrical biases to individually measure the electron-beam-induced current of both sub-cells of photovoltaic t.ndem-junction *** show that with an applied voltage in forward direction,all junctions can be analyzed *** development of this characterization technique enables further optimization of t.ndem-junction nanowire solar cells.

关键词： Ⅲ-Ⅴnanowire nanowire solar cell t.ndem-junction Esaki t.nnel diode electron-beam induced current(EBIC)

Intermediary RRt*-PSO:A Multi-Directional Hybrid Fast Convergence Sampling-Based Path Planning Algorithm

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Computers, Materials & Cont.nua 2023年第8期76卷 2281-2300页

作者： Loc Q.Huynh Ly V.tran Phuc n.K.Phan Zhiqiu yu Son V.t.Dao School of Industrial Engineering and Management International UniversityVietnam National University HCMCHo Chi Minh City700000Vietnam Department of Industrial Management National Taiwan University of Science and TechnologyTaipei City106335Taiwan

Path planning is a prevalent process that helps mobile robots find the most efficient pathway from the start.ng position to the goal position to avoid collisions with *** this paper,we propose a novel path planning algorithm-Intermediary RRt*-PSO-by utilizing the exploring speed advantages of Rapidly exploring Random trees and using its solution to feed to a metaheuristic-based optimizer,Particle swarm optimization(PSO),for fine-t.ning and *** Phase 1,the start and goal trees are initialized at the start.ng and goal positions,respectively,and the intermediary tree is initialized at a random unexplored region of the search *** trees were grown until one met the other and then merged and re-initialized in other unexplored *** the start and goal trees merge,the first solution is found and passed through a minimization process to reduce unnecessary *** 2 begins by feeding the minimized solution from Phase 1 as the global best particle of PSO to optimize the *** simulat.ng two special benchmark configurations and six practice configurations with special cases,the results of the study concluded that the proposed method is capable of handling small to large,simple to complex cont.nuous environments,whereas it was very tedious for the previous method to achieve.

关键词： Motion planning global path planning rapidly exploring random trees particle swarm optimization

A Hybrid Approach for Plant Disease Detection Using E-GAn and Capsnet

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Computer Systems Science & Engineering 2023年第7期46卷 337-356页

作者： n.Vasudevan t.Karthick Department of Data Science and Business Systems School of ComputingSRM Institute of Science and TechnologyKattankulathurTamilnadu603203India

Crop protection is a great obstacle to food safety,with crop diseases being one of the most serious *** diseases diminish the quality of crop *** detect disease spots on grape leaves,deep learning technology might be *** the other hand,the precision and efficiency of identification remain *** quantity of images of ill leaves taken from plants is oft.n *** an uneven collection and few images,spott.ng disease is *** plant leaves dataset.needs to be expanded to detect illness accurately.A novel hybrid technique employing segmentation,augmentation,and a capsule neural network(Capsnet)is used in this paper to tackle these *** proposed method involves three ***,a graph-based technique extracts leaf area from a plant *** second step expands the dataset using an Efficient Generative Adversarial network ***,a Capsnet identifies the illness and *** proposed work has experimented on real-time grape leaf images which are captured using an SD1000 camera and PlantVillage grape leaf *** proposed method achieves an effective classification of accuracy for disease type and disease stages detection compared to other exist.ng models.

关键词： Feature extraction neural network disease segmentation pattern analysis