Results 161 to 170 of about 50,655 (282)

On reproducing kernel methods in functional statistics

, 2018
Tesis doctoral inédita leída en la Universidad Autónoma de Madrid, Facultad de Ciencias, Departamento de Matématicas.
openaire   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Stability and Inference of the Euler Characteristic Transform. [PDF]

Discrete Comput Geom
Marsh L, Beers D.
europepmc   +1 more source

Livestock Tango: U.S. and Latin America Dance Together, but Who Will Lead?

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT This study examines the competitiveness between Latin American and U.S. livestock and meat sectors. We employ a computable general equilibrium modeling framework to evaluate two scenarios: coordinated improvements in Latin American productivity, transport efficiency, and market access (Scenario I), and the minimum productivity gains required ...
Taís C. Menezes, Amanda M. Countryman, Dustin L. Pendell   +2 more
wiley   +1 more source

Critical evaluation of the theory and practice of feed-forward neural networks for genomic prediction. [PDF]

G3 (Bethesda)
Kusmec A, Negus KL, Yu J.
europepmc   +1 more source

Markets Mitigate Land‐Use Competition From Energy Crops and Increase Farm Revenues

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Meeting the US Sustainable Aviation Fuel Grand Challenge target of 35 billion gal annually by 2050 will require an estimated 380 million–700 million dry tons of agricultural biomass feedstock. This study evaluates the implications of large‐scale biomass production for land use, crop production, and market outcomes under mature market ...
Daniel G. De La Torre Ugarte, Matthew H. Langholtz, Chad M. Hellwinckel   +2 more
wiley   +1 more source

Excipient Emulsion–Based Delivery Systems for Enhancing Carotenoid Bioavailability: Advances in Formulation and Gastrointestinal Fate

AgriFood: Journal of Agricultural Products for Food, EarlyView.
Excipient emulsion systems improve carotenoid solubilization, protect against degradation, and enhance gastrointestinal absorption through optimized formulation and digestion behavior. ABSTRACT Carotenoids are bioactive compounds that contribute to human health through antioxidant, provitamin A, and disease‐preventive effects.
Tugce Ceyhan, Elifsu Nemli, Esra Capanoglu, Merve Tomas   +3 more
wiley   +1 more source

A PHYSICS-GUIDED SMOOTHING METHOD FOR MATERIAL MODELING WITH DIGITAL IMAGE CORRELATION (DIC) MEASUREMENTS. [PDF]

Proc Int Conf Image Proc
Wang J, Lee CH, Richardson W, Yu Y.
europepmc   +1 more source

Foreign Language Learning in Older Adults Modifies Resting‐State Functional Connectivity Between the Subcortical Structures and the Cortex

AGING MEDICINE, EarlyView.
Foreign language learning in older adults reorganizes thalamic and caudate connectivity, in a process topographically overlapping with the expression of receptors and genes related to neuroplasticity. ABSTRACT Objectives Neuroimaging studies suggest that Foreign Language Learning (FLL) influences resting‐state functional connectivity (rs‐FC) within the
Giovanna Bubbico, Federica Tomaiuolo, Carlo Sestieri, Golnoush Akhlaghipour, Alberto Granzotto, Antonio Ferretti, Mauro Gianni Perrucci, Stefano L. Sensi, Stefano Delli Pizzi   +8 more
wiley   +1 more source

Sequential Monte Carlo with likelihood tempering and parallel implementation for uncertainty quantification

AIChE Journal, EarlyView.
Abstract Bayesian estimation enables uncertainty quantification, but analytical implementation is often intractable. As an approximate approach, the Markov Chain Monte Carlo (MCMC) method is widely used, though it entails a high computational cost due to frequent evaluations of the likelihood function.
Tatsuki Maruchi, Tomoyuki Yajima, Yoshiaki Kawajiri   +2 more
wiley   +1 more source