Results 101 to 110 of about 8,223,126 (290)

A Numerical–Experimental Approach for Multi‐Matrix Fiber‐Reinforced Plastics Characterization Using Finite Element Model Updating

open access: yesAdvanced Engineering Materials, EarlyView.
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora   +4 more
wiley   +1 more source

Working Paper 42 - Global Financial Crisis: Implications and Lessons for Africa [PDF]

open access: yes
The global financial system has witnessed rapid growth and substantial structural change duringthe last ten years leading to globalisation of financial markets.
Temitope Oshikoya   +2 more
core  

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

open access: yesAdvanced 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   +6 more
wiley   +1 more source

Credit at Times of Stress: Latin American Lessons from the Global Financial Crisis - Working Paper 289 [PDF]

open access: yes
The financial systems in emerging market economies during the 2008–09 global financial crisis performed much better than in previous crisis episodes, albeit with significant differences across regions.
Liliana Rojas-Suarez and Carlos Montoro
core  

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

open access: yesAdvanced 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   +4 more
wiley   +1 more source

Responding to the Global Financial and Economic Crisis: Meeting the Challenges in Asia [PDF]

open access: yes
Based on a review of international and regional responses to the global financial and economic crisis and its implications for finance in Asia, Douglas Arner and Lotte Schou-Zibell draw lessons for Asian financial systems with regard to the scope of ...
Schou-Zibell, Lotte, Arner, Douglas
core  

BASEL III – A new approach to improve international financial stability

open access: yesAnnals of Spiru Haret University Economic Series, 2010
In its first part, the article highlights the factors standing at the basis of the modification of the general framework of development of the banking activity in the last decades and the main trends that manifested on the international banking market ...
Claudia Gabriela BAICU
doaj  

High‐Temperature Phase Transformation in a V‐9Si‐6.5B Alloy: The Kinetic and Crystallographic Pathway From V5SiB2 to V8SiB4

open access: yesAdvanced Engineering Materials, EarlyView.
In situ synchrotron high‐energy X‐ray diffraction reveals the real‐time high‐temperature phase evolution of a ternary V‐9Si‐6.5B alloy. The study uncovers a kinetically delayed V5SiB2 → V8SiB4 transformation governed by massive structural and chemical barriers.
Zahra Sabeti   +4 more
wiley   +1 more source

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