Results 101 to 110 of about 10,316,048 (305)

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

Advanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang, Adrian Ehrenhofer, Thomas Wallmersperger   +2 more
wiley   +1 more source

بررسی نقش منطقه آزاد تجاری- صنعتی ارس در ایجاد همگرایی تجاری با کشورهای حوزه CIS، چین و ترکیه [PDF]

Quarterly Journal of Applied Theories of Economics, 2014
یکی از مهمترین عوامل رشد و توسعه تجارت کشورها توجه به مبادلات منطقه­ای از طریق توسعه همگرایی تجاری می­باشد. در این میان منطقه آزاد تجاری- صنعتی ارس می­تواند موجبات رشد و توسعه پیوسته در عرصه­های صادرات، اشتغال‌زایی و ارزآوری به کشور را فراهم آورد. در این
احمد اسدزاده, فاطمه عبداله زاده نوبریان   +1 more
doaj  

PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science

Advanced Engineering Materials, EarlyView.
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley   +1 more source

An inquiry on Regional Trade Integration and Trade Potentials

Une recherche sur les accords commerciaux régionaux et les potentiels de commerce Dans un contexte où les négociations commerciales multilatérales languissent dans une impasse, les accords commerciaux régionaux ACR prennent de l’élan. Cette thèse doctorale cherche à faire avancer la connaissance sur ce domaine.
openaire   +2 more sources

Global economic and financial crisis: India’s trade potential and future prospects [PDF]

This paper estimates the trade potential for India using the augmented gravity model and then attempts to determine the importance of trade remedies. Based on panel data, this gravity model is the first-ever attempt to estimate India’s trade potential in
Prabir De
core  

Ontology‐Aligned Structuring and Reuse of Multimodal Materials Data and Workflows Toward Automatic Reproduction

Advanced Engineering Materials, EarlyView.
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari, Abril Azocar Guzman, Sarath Menon, Stefan Sandfeld, Tilmann Hickel, Markus Stricker   +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

Access to finance and intra-Africa trade efficiency

Journal of Shipping and Trade
This paper examines the impact of access to finance on intra-Africa trade efficiency using a panel dataset comprising 44 African exporters. Between 2008 and 2021, a stochastic frontier version of the gravity model finds intra-Africa trade to have been ...
Brian Tavonga Mazorodze
doaj   +1 more source

A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy

Advanced Engineering Materials, EarlyView.
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle, Cesar Alvarez‐Llamas, Vincent Motto‐Ros, Christophe Dujardin, Jérémie Margueritat, David Rodney   +5 more
wiley   +1 more source

Role and Importance of Big Data Usage in Gaining Competitive Advantage

In today's rapidly digitalizing commercial world, the e-commerce sector is becoming more and more valuable. Big data lies at the heart of this change and development.
Atayurt, Arzu; İSTANBUL TRADE UNIVERSITY
core   +1 more source