Results 191 to 200 of about 2,727,652 (306)
Measuring the Impact of Large Language Models on Academic Success and Quality of Life Among Students with Visual Disability: An Assistive Technology Perspective. [PDF]
Elshaer IA, AlNajdi SM, Salem MA.
europepmc +1 more source
U.S. Consumers Sometimes Prefer Seemingly Redundant Labels
ABSTRACT More food products are carrying seemingly redundant labels, which are marketing claims or certifications that reiterate product attributes already conveyed. In this paper, we aim to answer two questions on redundant labels. First, do consumers view redundant labels as deceptive or informative? Second, how do redundant labels affect product and
Jackson Lusk +2 more
wiley +1 more source
From "academic success" to "commercial success" -The model of medical device translation driven by SCI articles. [PDF]
Cheng CK, Lin C, Luan Y.
europepmc +1 more source
ABSTRACT Food systems have a significant impact on environmental sustainability, underscoring the need for innovative technologies to support more sustainable agricultural methods. However, the adoption of these technologies hinges on consumer acceptance, making the analysis of consumer perceptions essential.
Greta Castellini, Guendalina Graffigna
wiley +1 more source
The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry
ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley +1 more source
Lecturers' perspectives on the level and factors that contribute to academic success in biomedical sciences among Ugandan nursing students: a descriptive qualitative study. [PDF]
Munguiko C, Ngeno A, Museene S.
europepmc +1 more source
ACADEMIC ENVIRONMENT AND ACADEMIC SUCCESS (AND FAILURE)
openaire +1 more source
AI in chemical engineering: From promise to practice
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source

