Results 71 to 80 of about 756 (255)
Value of Information of Improved Traceability in Fresh Produce Markets
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
Improper integrals of distributions [PDF]
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
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
Analytical solutions of some contact problems are infinite functional series according to the system of basic functions. When constructing such solutions, it becomes necessary to represent the kernels of integral equations describing the process of ...
Kazakov K. E.
doaj +1 more source
Evaluation of a Family of Improper Integrals
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
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
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
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
Non-Integer Valued Winding Numbers and a Generalized Residue Theorem
We define a generalization of the winding number of a piecewise C1 cycle in the complex plane which has a geometric meaning also for points which lie on the cycle.
Norbert Hungerbühler, Micha Wasem
doaj +1 more source
AS‐pHopt: An Optimal pH Prediction Model Enhanced by Active Site of Enzymes
To address the low accuracy of enzyme optimal pH (pHopt) prediction, this study develops active site‐based pHopt (AS‐pHopt), a prediction model enhanced by active site information and pseudo‐label prediction. Integrating key structural and physicochemical features affecting enzyme pHopt, AS‐pHopt uses Evolutionary Scale Modeling (ESM)‐2 with active ...
Wenxiang Song +6 more
wiley +1 more source

