Results 111 to 120 of about 401,417 (282)

FPU-Supported Running Error Analysis

Acta Polytechnica, 2010
A-posteriori forward rounding error analyses tend to give sharper error estimates than a-priori ones, as they use actual data quantities. One of such a-posteriori analysis – running error analysis – uses expressions consisting of two parts; one generates
T. Zahradnický, R. Lórencz
doaj  

A note on inverse problem for strongly damped wave equation with Gaussian white noise

ITM Web of Conferences, 2018
In this paper, we study for the first time the inverse initial problem for the one-dimensional strongly damped wave with Gaussian white noise data.
Khanh Chu Duc, Hoang Luc Nguyen, Phan Van, Huy Tuan Nguyen   +3 more
doaj   +1 more source

Adaptive FE-BE coupling for strongly nonlinear transmission problems with friction II

, 2013
This article discusses the well-posedness and error analysis of the coupling of finite and boundary elements for transmission or contact problems in nonlinear elasticity.
Gimperlein, Heiko, Stephan, Ernst P.
core  

MicrobeDiscover: A Knowledge Graph–Enabled AI Framework for Identifying Microbes for Inorganic Nanomaterial Biosynthesis

Advanced Science, EarlyView.
Microbial synthesis of nanomaterials (NMs) is eco‐friendly, but the screening of microorganisms is limited by inefficient traditional methods (currently only involving∽400 microorganisms/90 NMs). We propose AI framework MicrobeDiscover, integrating a knowledge graph of microbe‐NM interactions.
Ludi Wang, Hexing Han, Yufeng Liu, Zhiyuan Ning, Yujie Ma, Haidan Wang, Jinling Xu, Qiansheng Huang, Wenjuan Cui, Yuanchun Zhou, Yang Gao, Bin Wang, Yi Du   +12 more
wiley   +1 more source

Beyond Traditional RAFT Polymerization: Emerging Strategies and Future Perspectives; A Third Update

Advanced Science, EarlyView.
This review explores recent advances in the past five years for non‐traditional RAFT polymerization, focusing on new activation strategies, sustainable depolymerization, and integration with automated and AI‐driven synthesis. Together, these innovations advance polymer chemistry and reveal how the pieces of the non‐traditional RAFT puzzle are steadily ...
Vianna F. Jafari, James L. Grace, Jiajia Li, Joji Tanaka, Glen R. Jones, Athina Anastasaki, Wei You, Jian Zhu, Masami Kamigaito, Cyrille Boyer, Greg G. Qiao   +10 more
wiley   +1 more source

Changes in Alcohol Retail Laws and Foot Traffic at Liquor Stores

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT We study how expanding alcohol availability at grocery and convenience stores affects consumer traffic in liquor stores by leveraging recent changes in state‐level alcohol distribution laws in a difference‐in‐difference quasi‐experimental design.
Nathan Palardy, Marco Costanigro, Joshua Berning, Jude Bayham   +3 more
wiley   +1 more source

Circularity, Sustainability, and the Quality of Coffee Sold via Vending Machines: What Do Italian Consumers Prefer?

Agribusiness, EarlyView.
ABSTRACT Vending is an important sector in the daily lives of many people, and coffee is the most frequently consumed product in the European market. Like many other sectors, vending is responding to the challenge of sustainable development by taking various actions, such as offering increasingly ecologically sound coffee while maintaining/improving ...
Alberto Bertossi, Stefania Troiano, Francesco Marangon   +2 more
wiley   +1 more source

A locally conservative staggered least squares method on polygonal meshes

Mathematics in Engineering
In this paper, we propose a novel staggered least squares method for elliptic equations on polygonal meshes. Our new method can be flexibly applied to rough grids and allows hanging nodes, which is of particular interest in practical applications ...
Lina Zhao , Eun-Jae Park
doaj   +1 more source

Does Contract Farming Improve Diet Quality? The Case of Senegalese Smallholders

Agribusiness, EarlyView.
ABSTRACT The institution of contract farming has gained prominence in most developing countries owing to its numerous benefits. While several studies have already highlighted the welfare benefits of contract farming, very few have investigated the effects on diet quality, despite poor quality diets being a serious challenge in most parts of the ...
Francis E. Ndip, Takeshi Sakurai
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source