Results 61 to 70 of about 60,899 (292)

Animal‐Based Brands Taking the Plant‐Based Opportunity: A Tasting Experiment Exploring Consumer Acceptance of Plant‐Based Brand Extensions

Agribusiness, EarlyView.
ABSTRACT This study investigates how consumer taste and brand equity perceptions shape the acceptance of plant‐based milk products. Using a blind/informed tasting experiment, we evaluated consumers' willingness to buy (WTB) and taste perception of a plant‐based milk alternative produced by a traditional dairy brand, compared with competing plant‐based ...
Federico Parmiggiani, Mirta Casati, Elena Castellari, Fosca Vezzulli, Veronica Vitali, Milena Lambri, Claudio Soregaroli   +6 more
wiley   +1 more source

Munchausen by internet: current research and future directions. [PDF]

, 2012
The Internet has revolutionized the health world, enabling self-diagnosis and online support to take place irrespective of time or location. Alongside the positive aspects for an individual's health from making use of the Internet, debate has intensified
Alinejad, NA, Andy Pulman, Asher, R, Barak, A, Berners-Lee, T, Boehm, FH, Doescher, MP, Doherty, AM, Donath, JS, Eysenbach, G, Feldman, MD, Field, MG, Gavin, H, Jacqui Taylor, Joinson, A, Lipsitt, DR, Lurid, FB, Madden, M, Meadow, R, Mealy, M, Oltmanns, FT, Pearson, SD, Pulman, A, Recupero, PR, Resnick, PJ, Savino, AC, Shea, V, Sherman, M, Turkle, S   +28 more
core   +2 more sources

Experimental validation of the RESPONSE framework against cyberattacks on cyber‐physical process systems

AIChE Journal, EarlyView.
Abstract This work experimentally validates the RESPONSE (Resilient Process cONtrol SystEm) framework as a solution for maintaining safe, continuous operation of cyber‐physical process systems under cyberattacks. RESPONSE implements a dual‐loop architecture that runs a networked online controller in parallel with a hard‐isolated offline controller ...
Luyang Liu, Pu Du, Zaman Sajid, Benjamin Wilhite, Costas Kravaris, Faisal Khan   +5 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Modular Assembly of Dynamic Polymer Networks From Heteroaffinity Cross‐Links to Multivalent Proteins

Angewandte Chemie, EarlyView.
This study develops a method to modularly assemble oligomeric binding proteins, like streptavidin, using heterobifunctional cross‐linkers that have both a strong‐ and a weak‐affinity binding moiety. These dynamic cross‐linkers enable the assembly of polymer networks with unique meta‐stable nonequilibrium topologies, and that exhibit chemically tunable ...
Tianyue Dai, Yuntao Qiu, Katherine M. Leon Hernandez, Wesley Chan, Katrina Mejia, Natalia Nemeria, Colin D. Kinz‐Thompson   +6 more
wiley   +2 more sources

Effects of countermeasures on P300-based guilty knowledge test

Journal of Human Environmental Studies, 2010
This study examined effects of physical and mental countermeasures on the P300-based guilty knowledge test (GKT). Twenty participants were required to choose on out of five cards, to record it number, and put the card in an envelope to be handed to an ...
Yuki Hamamoto, Shinji Hira, Hideki Ohira
doaj   +1 more source

Statement Analysis of Deception Detection

OALib, 2015
Deception detection can be achieved through the following linguistic method: Statement Analysis, which is illustrated by examples based mainly on the theories in lexicology, syntax, graphology, psychophysiology, kinesics, and cognition. The techniques are very significant to forensic context, business negotiation, job/school interview, and may be ...
Daoshan Ma, Dong’ao Lin
openaire   +1 more source

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

Advanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury, Sebastian Gratz‐Kelly, Eric Wagner, Paul Motzki, Martina Lehser   +4 more
wiley   +1 more source

Liar, Liar: Micro-expression Application to Detect Deception [PDF]

, 2016
This study focused on nonverbal mirco-expressions using the deception detection method to shed light on the effectiveness of such a tool for use in detecting liars. Five examples of videos depicting instances in which individuals who were later proven to
Batiuk, Andrew
core   +1 more source