Results 71 to 80 of about 11,763 (255)
AgriFood: Journal of Agricultural Products for Food, EarlyView.Heavy metal pollution reduces soil health and threatens food safety by entering plants; however, the use of nanoparticles, biofertilizers, and organic fertilizers such as biochar offers a promising strategy for improvement and sustainable agriculture. ABSTRACT Heavy metal (HM) pollution, resulting from human activities such as mining and the excessive ...
Sina Siavash Moghaddam +4 more
wiley +1 more source
Value of Information of Improved Traceability in Fresh Produce Markets
Agribusiness, EarlyView.ABSTRACT Traceability plays an important role in promoting a safe food supply by fostering transparent information exchange along the food supply chain. New technological innovations have the potential to improve traceability outcomes, as greater transparency along the food supply chain can aid in pinpointing precise origins of the contamination ...
Kelsey Vourazeris +2 more
wiley +1 more source
APPROXIMATE INTEGRATION OF HIGHLY OSCILLATING FUNCTIONS
Наука и техника, 2017 Elementary approximate formulae for numerical integration of functions containing oscillating factors of a special form with a parameter have been proposed in the paper.
I. N. Melashko +2 more
doaj +1 more source
Improper integrals of distributions [PDF]
Studia Mathematica, 1987 The following set \({\mathcal D}'_{\bar L}\) of distributions on \(R^ n\), called improper integrable distributions is introduced: \({\mathcal D}'_{\bar L}=\{T\in {\mathcal D}({\mathbb{R}}^ n);T=\sum_{| \alpha | \leq n}D^{\alpha}f_{\alpha}\) for some \(f_{\alpha}\) improper integrable functions and \(n\in N\}.\) In this context a function \(f\in L^ 1_ ...
openaire +1 more source
Advanced Intelligent Discovery, EarlyView.This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
wiley +1 more source
On the finite Fourier transforms of functions with infinite discontinuities
International Journal of Mathematics and Mathematical Sciences, 2002 The introductory part of the paper is provided to give a brief review of the stability theory of a matrix pencil for discrete linear time-invariant singular control systems, based on the causal relationship between Jordan's theorem from the theory of ...
Branko Saric
doaj +1 more source
Evaluation of a Family of Improper Integrals
Missouri Journal of Mathematical Sciences, 1988 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +3 more sources
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
Advanced Intelligent Discovery, EarlyView.This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Angewandte Chemie, EarlyView.Introducing [Co(CN)6]3− defects into CoNi Prussian Blue analogues exposes square‐planar Ni–N4 active sites, leading to remarkable H2O2 selectivity during the electrochemical oxygen reduction reaction in alkaline media. ABSTRACT Decentralized electrosynthesis of hydrogen peroxide (H2O2) via the two‐electron oxygen reduction reaction (2e− ORR) offers a ...
Kai Sun +4 more
wiley +2 more sources
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
Advanced Intelligent Discovery, EarlyView.The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source