Results 191 to 200 of about 11,806 (262)

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

Blue light and ultraviolet radiation: comparative biophysical properties and their roles in skin carcinogenesis and photoaging. [PDF]

J Derm Oncol
McKay RL, Wu S.
europepmc   +1 more source

Does Participating in Agricultural Global Value Chains Promote Agricultural Growth?

Agribusiness, EarlyView.
ABSTRACT This study examines the relationship between GVC participation and agricultural value‐added growth in 43 countries over the period 1995–2022. In contrast to prior literature, we disaggregate the agricultural sector into four sub‐sectors namely crop cultivation, animal production, forestry and fishing.
Taner Turan, Halit Yanıkkaya, Hüseyin Alperen Özer   +2 more
wiley   +1 more source

Medical students' knowledge and practices regarding skin cancer and climate change-related dermatological risks: a cross-sectional study from Turkey. [PDF]

BMJ Open
Karaoglu E, Kucuk Bicer B.
europepmc   +1 more source

Deep Learning Prediction of Surface Roughness in Multi‐Stage Microneedle Fabrication: A Long Short‐Term Memory‐Recurrent Neural Network Approach

Advanced Intelligent Discovery, EarlyView.
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour, Sara Soltanabadi Farshi, Tuanna Ozcan, Amir Mohammad Ketabchi, Alper Kiraz, Savas Tasoglu   +5 more
wiley   +1 more source

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

Proteolytic <i>Bacillus</i> sp. Isolation and Identification from Tannery Alkaline Baths. [PDF]

Molecules
Lageiro M, Simões F, Alvarenga N, Reis A.   +3 more
europepmc   +1 more source

Automated Alignment Powered by Computer Vision Streamlines the Two‐Photon Polymerization‐Based Micro 3D Printing of Multiscale and Multimaterial Structures

Advanced Intelligent Discovery, EarlyView.
Two‐photon polymerization enables high‐resolution microfabrication, but performing alignment when printing multiple structures is difficult. Here, we present a fast, robust, and open‐source protocol for automated alignment on Nanoscribe systems. Achieving ≈0.4 μm accuracy in under 5 s, our protocol reduces time and error in multimaterial printing. This
Daniel Maher, Valentina Mendoza Martinez, Marcin Piotr Piekarczyk, Stefan Sützl, Ada‐Ioana Bunea   +4 more
wiley   +1 more source

Correction to “Injectable Genetic Engineering Hydrogel for Promoting Spatial Tolerance of Transplanted Kidney in Situ”

Advanced Science, EarlyView.
wiley   +1 more source

Causal Assessment of Phenotypic Risk Factors with Keratinocyte Carcinoma. [PDF]

Phenomics
Xu Y, Jiang Z, Wang Y, Liu J, Zhao S.
europepmc   +1 more source