Results 121 to 130 of about 13,945 (259)

An Experimental High‐Throughput Approach for the Screening of Hard Magnet Materials

Advanced Engineering Materials, EarlyView.
An entire workflow for the high‐throughput characterization and analysis of compositionally graded magnetic films is presented. Characterization protocols, data management tools and data analysis approaches are illustrated with test case Sm(Fe, V)12 based films.
William Rigaut, Pierre Le Berre, Hamdi Jaballah, Lukas Fink, Victor Poline, Richard Haettel, Stéphane Grenier, Gilbert Chahine, Ewen Bellec, Guillaume Buatier, Wilfried Hortschitz, Santa Pile, Thomas Schrefl, Nils Blanc, Yuan Hong, Thibaut Devillers, Nora M. Dempsey   +16 more
wiley   +1 more source

SAFEGUARDS AGAINST VIOLATIONS OF CUSTOMS RULES IN THE MODERN CONDITIONS OF THE FORMATION OF THE FISCAL SPACE OF UKRAINE

Contemporary Economy, 2017
A reliable protection of the vital interests of Ukraine depends on the development of a scientifically sound concept of customs security and a mechanism for its implementation, enacting legislation in the field of customs and coordinating the activities ...
Halyna Vasylevska, Iryna Novosad
doaj  

Key Fiscal Issues and Structural Elements of State Protection in the 21st Century

Notas Económicas
The article analyzes the main components of state fiscal security amid 21st-century global challenges: market turbulence, rising debt, and external shocks.
Iaroslav Ianushevych, Tamara Hubanova
doaj   +1 more source

Expanding Fiscal Space for Healthcare System through Efficiency: A Qualitative Study from Iran. [PDF]

Iran J Public Health, 2020
Bairami F, Takian A, Akbari Sari A, Harirchi I, Alipouri Sakha M.   +4 more
europepmc   +1 more source

Experimental Characterization and Constitutive Modeling of the Effect of Prior Inelastic Strain on the Viscoplastic Behavior of AD730 at 700 °C

Advanced Engineering Materials, EarlyView.
This study shows that superalloys used in aircraft engine disks become much more prone to deformation at high temperatures if they have been strained during manufacturing. This effect increases with the level of prior strain but eventually reaches a limit.
Fabio Machado Alves da Fonseca, Patrick Villechaise, Malik Durand, Arnaud Longuet, Florent Coudon, Loïc Signor, Julien De Jaeger, Dominique Eyidi, Nathalie Bozzolo, Jonathan Cormier   +9 more
wiley   +1 more source

SUSTAINABILITY OF PUBLIC FINANCES: THE IMPORTANCE OF ASSESSMENT AND STRESS TESTS

Соціальна економіка
The purpose of the article is to substantiate the importance of assessing the sustainability of public finances in the long term, to consider tools and methods for assessing financial stability, in particular stress tests.
Yurii Torianyk
doaj   +1 more source

An Assessment of Domestic Financing for Reproductive, Maternal, Neonatal and Child Health in Sub-Saharan Africa: Potential Gains and Fiscal Space. [PDF]

Appl Health Econ Health Policy, 2020
Atim C, Arthur E, Achala DM, Novignon J.
europepmc   +1 more source

Enhancing Bubble Removal in Geometry‐Optimized Electrodes

Advanced Engineering Materials, EarlyView.
3D‐printed lattice electrodes outperform stochastic foams in alkaline water electrolysis despite 20%–25% lower surface area. Straight flow channels generate Venturi‐like bubble entrainment, suppressing gas accumulation that renders foam interiors electrochemically inactive.
Florian Wiesner, Peter Förster, Alexander Limper, Anselm Brodersen, Matthias Wessling, John Linkhorst   +5 more
wiley   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source