Results 141 to 150 of about 276,728 (304)
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 +4 more
wiley +1 more source
A universal catalyst design framework integrating weighted atom‐centered symmetry function (wACSF) descriptors with machine learning accurately predicts adsorption energies for 2e− water oxidation reaction. Microkinetic modeling and experimental validation confirm the framework's universality, establishing a powerful paradigm for rational ...
Zhijian Liu +17 more
wiley +2 more sources
We demonstrate the direct‐laser patterning of a gold thin film on polymethyl methacrylate to fabricate a temperature sensor for dentures. The temperature sensor‐embedded smart dentures are evaluated in an oral environment, enabling in‐situ monitoring for elderly healthcare.
Han Ku Nam +7 more
wiley +1 more source
Ethane Chlorination Toward Vinyl Chloride Synthesis: Mechanistic and Catalytic Perspectives
Ethane chlorination is emerging as a promising low‐carbon route to vinyl chloride monomer, yet it remains academically underexplored due to the complexity of radical chemistry. As the first focused Minireview on this topic, it offers forward‐looking mechanistic analysis, unveils catalyst evolution pathways, and defines research priorities to accelerate
Xia Wu +6 more
wiley +2 more sources
POSSIBILITIES AND PROBLEMS FINANCING THE HUNGARIAN AGRICULTURE [PDF]
The solving and improving the problem of financing agriculture is one of the most important questions. The agriculture has many specialties compare to other sectors of national economy.
Cecília Szigeti, Reader, Anita Borzán
core
This study introduces the first inverse machine learning model to predict laser powder bed fusion process parameters for targeted surface roughness of Inconel 718 parts. Unlike prior approaches, it incorporates spatial surface characteristics for improved accuracy.
Samsul Mahmood, Bart Raeymaekers
wiley +1 more source
Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian +37 more
wiley +1 more source
SmartDetectAI: An AI‐Powered Web App for Real‐Time Colorimetric Detection of Heavy Metals in Water
SmartDetectAI integrates silver nanoparticle‐based colorimetric sensing with an AI‐powered web app for rapid, on‐site detection of toxic heavy metals in water. By combining aggregation‐driven optical changes with machine learning analysis of red ‐ green ‐ blue values, the platform achieves portable, low‐cost, and accurate monitoring of Hg‐ and Cd‐based
Nishat Tasnim +9 more
wiley +1 more source
Abstract Our general interest is in global trade loss from livestock pathogens, specifically exports. We adopt a causal inference approach that considers animal disease outbreaks over time as non‐staggered binary treatments with the potential for switching in (infection) and out of treatment (recovery) within the sample period. The outcome evolution of
Mohammad Maksudur Rahman +1 more
wiley +1 more source
ABSTRACT Disparities in Assistive Technology (AT) access exist for Aboriginal and Torres Strait Islander peoples despite recent policy reforms. This paper brings together First Nations and Western academic ways of being, knowing and doing to deliver an AT practice analysis based upon primary data from two research reports into the cultural safety of AT
Shane Hearn +6 more
wiley +1 more source

