Results 81 to 90 of about 21,944 (260)

In‐Sensor Computing by Soft Threshold Logic Gates Under Different Humidity Conditions

Advanced Electronic Materials, EarlyView.
Soft nanocomposite materials, based on gold cluster‐assembled thin films implanted in polydimethylsiloxane substrate, can perform reliable processing in ambient environmental conditions. Humidity influences the resistive switching and computational capabilities of the nanocomposites, that can be used as multifunctional material combining sensing ...
Giacomo Nadalini, Paolo Milani, Francesca Borghi   +2 more
wiley   +1 more source

Application of a Multi-Objective Optimization Algorithm Based on Differential Grouping to Financial Asset Allocation

Applied Sciences
In the era of big data and rapid information growth, investors encounter a complex financial environment characterized by extensive data, conflicting investment objectives, and markets that are unpredictable due to economic and policy fluctuations. Hence,
Peng Jia, Qiting Jiang, Haodong Wang, Weibin Guo, Weichao Ding, Zhe Wang   +5 more
doaj   +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

Complementary or Competitive? Emerging Interactions Between Restoration and Protection in the Conservation Reserve Program

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT The USDA's Conservation Reserve Program (CRP) delivers environmental benefits to society by enrolling cropland and grasslands to reestablish or safeguard long‐term vegetative cover. In recent years, the CRP has dramatically increased grassland enrollment while cropland enrollment has been in steady decline. This paper uses descriptive analysis,
Wesley Zebrowski, Tyler Lark, Rich Iovanna   +2 more
wiley   +1 more source

Fast Riemannian Manifold Hamiltonian Monte Carlo for Hierarchical Gaussian Process Models

Mathematics
Hierarchical Bayesian models based on Gaussian processes are considered useful for describing complex nonlinear statistical dependencies among variables in real-world data.
Takashi Hayakawa, Satoshi Asai
doaj   +1 more source

How peer review constrains cognition: on the frontline in the knowledge sector

Frontiers in Psychology, 2015
Peer-review is neither reliable, fair, nor a valid basis for predicting ‘impact’: as quality control, peer-review is not fit for purpose. Given this consensus, I propose another framing: while a normative social process, peer-review also shapes the ...
Stephen John Cowley
doaj   +1 more source

Price Transmission and Leadership in the Global Poultry Market: Results From Parametric and Nonparametric Approaches

Agribusiness, EarlyView.
ABSTRACT Brazil and the United States account for more than 40% of global poultry exports, with China and South Korea among their major destination markets. This study examines price transmission and market linkages between Brazil and the United States using monthly poultry export price data from January 1990 to December 2024. It also assesses which of
Khondoker Abdul Mottaleb, Shaikh M. Rahman, Syed Imran Ali Meerza   +2 more
wiley   +1 more source

Physics‐encoded transfer learning for scale‐up modeling of CHO cell bioreactors

AIChE Journal, EarlyView.
Abstract Developing reliable predictive models for mammalian cell bioreactors, particularly Chinese hamster ovary (CHO) cultures widely used in biopharmaceutical manufacturing, remains challenging due to severe data scarcity in industrial‐scale reactors.
Muyang Li, Ming Xiao, Zhe Wu
wiley   +1 more source

The Sloping Mire Soil-Landscape of Southern Ecuador: Influence of Predictor Resolution and Model Tuning on Random Forest Predictions

Applied and Environmental Soil Science, 2014
The sloping mire landscape of the investigation area, in the southern Andes of Ecuador, is dominated by stagnic soils with thick organic layers. The recursive partitioning algorithm Random Forest was used to predict the spatial water stagnation pattern ...
Mareike Ließ, Martin Hitziger, Bernd Huwe   +2 more
doaj   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source