Results 101 to 110 of about 599,405 (289)

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

Advanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica, Kostya S. Novoselov, Seongmin Kim, Yousung Jung, Silvana Botti, Miguel A. L. Marques, Tigany Zarrouk, Miguel A. Caro, Sanggyu Chong, Michele Ceriotti, Marivi Fernandez‐Serra, Sara Navarro‐Rodriguez, Aakash Ashok Naik, Janine George, Ömer Hasan Omar, Victor Trinquet, Gian‐Marco Rignanese, Andrey Ustyuzhanin, Sonia Conesa‐Boj, Juan Rojo, Minh‐Tuan Dau, Simon M.‐M. Dubois, Jean‐Christophe Charlier, Jose H. Garcia, Romain Gautier, Rachid Laref, Junfeng Qiao, Giovanni Pizzi, Nicola Marzari, Camilla Coletti, Antonio Rossi, Jan‐Lucas Uslu, Chiara Zanardi, Vincenzo Palermo, Wide Hogenhout, Natalia Konchakova, Peter Klein, Tejs Vegge, Stephan Roche   +38 more
wiley   +1 more source

Lost in aggregation? On the importance of local food price data for food poverty estimates

American Journal of Agricultural Economics, EarlyView.
Abstract This paper explores within‐country variations in food price dynamics and food poverty estimates by employing local market price data and national consumer price index (CPI) data. Our results show that national CPI data may be useful for approximating national trends but they fail to detect and identify spatial variations in local trends, which
Stephan Dietrich, Valerio Giuffrida, Bruno Martorano, Georg Schmerzeck, Marco Tiberti   +4 more
wiley   +1 more source

ESG Ratings and Firms' Engagement in Global Innovation Ecosystems: Implications for Green Innovation Capacity

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT The increasing salience of climate change has intensified attention to the roe of ESG ratings in shaping firms' green innovation. We examine the link between ESG performance and green innovation, highlighting the role of participation in global innovation networks.
Miaomiao Tao, David Roubaud, Mingzhi Zhang, Qianli Ma   +3 more
wiley   +1 more source

On weakly singular Fredholm integral equations with displacement kernels

Journal of Mathematical Analysis and Applications, 1976
Peer Reviewed ; http://deepblue.lib.umich.edu/bitstream/2027.42/21731/1/0000124 ...
openaire   +2 more sources

Multiquadric collocation methods in the numerical solution of Volterra integral equations with weakly-singular kernel

, 1993
Nonlinear Volterra integral equation with weakly singular kernels are considered and are solved by applying piecewise collocation methods based on multiquadric approximations combined with Gauss quadrature ...
Kansa, E. J., Makroglou, Athena, Makroglou, A.   +2 more
core   +1 more source

Gaborlet‐guided sparse filtering: A novel intelligent method for lithology identification by vibration signals while drilling

Deep Underground Science and Engineering, EarlyView.
The flowchart illustrates rock specimen testing, vibration signal acquisition, and feature extraction with Gaborlet and sparse filtering for classification. Abstract Traditional lithology identification methods mainly rely on core sampling and well‐logging data.
Jian Hao, Danqi Zhang, Zhenqi Song, Jinrui Wang, Qi Wang, Heqing Liu   +5 more
wiley   +1 more source

Nonlinear singular integral inequalities for functions in two and independent variables

Journal of Inequalities and Applications, 2000
In this paper nonlinear integral inequalities with weakly singular kernels for functions in two and independent variables are solved. The obtained results are related to the well known Gronwall–Bihari and Henry inequalities for functions in one ...
Medveď Milan
doaj  

Error analysis of arbitrarily high-order stepping schemes for fractional integro-differential equations with weakly singular kernels

Nonlinear Engineering
We propose high-order computational schemes for solving nonlinear fractional integro-differential equations (FIDEs) that are commonly used to model systems with memory or long-term behavior.
Al-Shara’ Safwan, Awawdeh Fadi, Rawashdeh Edris, Alsayyed Omar, Alshorman Rafat   +4 more
doaj   +1 more source

Modeling proppant transport and settling in a 3D propagating fracture

Deep Underground Science and Engineering, EarlyView.
A versatile multiphysics tool is presented for simulating the complex processes involved in hydraulic fracturing treatments. The model couples fracture opening and propagation, variable‐density slurry flow, and proppant particle transport within the multiphysics object‐oriented simulation environment framework, based on two‐phase mixture equations and ...
Robert Egert, Aimé Fournier, Wencheng Jin   +2 more
wiley   +1 more source