Results 171 to 180 of about 8,236,922 (283)

Evaluation of Different Methods for Identification of Structural Alerts Using Chemical Ames Mutagenicity Data Set as a Benchmark.

open access: yesChemical Research in Toxicology, 2017
Hong-Bin Yang   +5 more
semanticscholar   +1 more source

Promoting Healthier Drinking: Evidence From a Vignette Experiment on Contextual and Informational Drivers of Dealcoholized Wine Choices

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT Growing demand for healthier beverages is driving innovation in the wine sector, with dealcoholized wine emerging as a promising alternative. However, little is known about the contextual conditions under which consumers would choose dealcoholized wine, particularly in countries with strong wine traditions. To fill this gap, this work examines
Giovanna Piracci   +4 more
wiley   +1 more source

Assessing the Impact of Promotions on Consumer Purchasing Behavior During Crises

open access: yesAgribusiness, EarlyView.
ABSTRACT Understanding how households modify their food expenditure decisions during times of crisis is essential because consumer purchasing behavior frequently changes during these times. This study looks at these behavioral shifts during the COVID‐19 pandemic, concentrating on how price sensitivity and response to sales promotions changed over the ...
Wafa Mehaba, José María Gil
wiley   +1 more source

How small changes to methylated piperidinium cations impact the synthesis of zeolite SSZ‐39

open access: yesAIChE Journal, EarlyView.
Abstract Here we report a synthesis study of SSZ‐39 with four different organic structure directing agents (OSDA). The goal was to determine how subtle changes to the OSDA architecture impact crystallization kinetics, material composition, and other properties.
Onyinyechukwu Ukagha, Daniel F. Shantz
wiley   +1 more source

Development and experimental validation of a predictive resilient framework for cyber‐physical systems

open access: yesAIChE Journal, EarlyView.
Abstract Cyber‐physical process systems integrate process dynamics, control, sensing, actuation, and communication, making them vulnerable to attacks that falsify data, alter control actions, or disrupt networks and drive operations toward unsafe states.
Luyang Liu   +5 more
wiley   +1 more source

A stress‐balance‐based critical Weber number for droplets and bubbles

open access: yesAIChE Journal, EarlyView.
Abstract Predicting droplet and bubble breakup in turbulent flows is critical for optimizing multiphase flow processes such as emulsification and atomization. Traditional models based on a fixed critical Weber number (Wec$$ {We}_c $$) may not capture interfacial‐stress dominance in low‐viscosity fluids or viscous resistance in high‐viscosity droplets ...
Supratim S. Dipta   +4 more
wiley   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

Crystal Structure Prediction of Inorganic Materials: A Benchmark and Modern Evaluation

open access: yesAdvanced Intelligent Discovery, EarlyView.
Predicting a crystal’s structure from composition alone is a long‐standing challenge in materials discovery. The CSP180 benchmark of 180 inorganic crystals evaluates thirteen crystal structure prediction algorithms requiring no density functional theory (DFT) against DFT‐based baselines across twelve metrics.
Lai Wei   +9 more
wiley   +1 more source

Well Structured, Secure and Efficient Alert Notifications

open access: yes, 2014
This thesis assembles and presents a set of organization generic, but alert notification specific recommendations. Recommendations any arbitrary organization may consider to establish and continuously improve well structured, secure and efficient alert notifications to relevant stakeholders.
openaire   +1 more source

A 3D Multitask Graph Neural Network Framework for Ames Mutagenicity Prediction

open access: yesAdvanced Intelligent Discovery, EarlyView.
Our proposed multitask graph neural network model has a high predictive accuracy for Ames mutagenicity. By operating directly on molecular graph representations instead of traditional molecular descriptors, and predicting strain‐specific results, the model outperforms most existing benchmarks.
Abigail E. Teitgen   +3 more
wiley   +1 more source

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