Effect of label elements in bottled water: Impact on consumer preferences, purchase intentions and health perception through affective sensory tests. [PDF]
Silva-Paz RJ +5 more
europepmc +1 more source
3D‐Nanoprinted Fluidically Steerable Soft Robotic Microcatheters
This work introduces a ∼3‐French (1 mm‐in‐diameter) soft robotic microcatheter fabricated by means of two‐photon direct laser writing. The 3D‐printed microcatheter enables remote, on‐demand steering via microfluidic actuation for guidewire‐free navigation of vascular networks as well as microcatheter‐mediated delivery of fluidic payloads to target ...
Bailey M. Felix +17 more
wiley +1 more source
Consumer Preferences and Willingness to Pay for High-Quality Vegetable Oils: A Cross-Sectional Analysis of Chinese Residents. [PDF]
Tang S +6 more
europepmc +1 more source
Intelligent Sky Guardians (InSkyGuard) is introduced as a four‐drone swarm that autonomously detects, tracks, and safely captures rogue drones using a coordinated net system. Computer vision and leader–follower control architecture enable synchronized enclosure, while integrated failsafes enhance system reliability. Validated through closed‐environment
Joshua Hastings +6 more
wiley +1 more source
Understanding consumer preferences to develop dahi using pineapple pomace powder and monk-fruit extract. [PDF]
Gumber S +4 more
europepmc +1 more source
Functional Fibers in Soft Robotics: Advances in Material, Structural, and Systemic Tactics
Fiber‐form robotic systems offer a scalable pathway toward embodied intelligence in soft robotics. This review surveys functional fibers as material, structural, and systemic elements, highlighting advances in responsive materials, architectural programing, and fabrication strategies.
Joonhee Won +5 more
wiley +1 more source
The impact of consumer preferences on the evolution of competition in China's automobile market under the Dual Credit Policy-A density game based perspective. [PDF]
Xie Y, Wu J, Zhou X, Sheng Y.
europepmc +1 more source
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Robust Learning of Consumer Preferences
Operations Research, 2022When companies develop new products, there are often competing designs from which to choose to take to market. How to decide? Traditional methods, such as focus groups, do not scale to the modern marketplace in which tastes evolve rapidly. In “Robust Learning of Consumer Preferences,” Feng, Caldentey, and Ryan develop a data-driven approach to ...
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