Results 231 to 240 of about 167,759,599 (261)

A Physical Adaptive Material Motor Unit Neural Network: A Hygromorph Composite Material Machine

Advanced Science, EarlyView.
This study introduces a new class of material‐based intelligent machines. It presents a Physical Adaptive Material Motor Unit Neural Network, an assembly of smart 4D printed actuators and a controlling system that adapt through environmental interaction its shading behavior.
Charles de Kergariou, Helmut Hauser, David Correa   +2 more
wiley   +1 more source

Prepackaged foods healthiness ranking index: developing front-of-pack labeling to facilitate the assessment and validation of healthiness rankings of prepackaged foods in China. [PDF]

BMC Med
Wu F, Qin Y, Hou D, Xie S, Zhang G, Zhang D, Yang M.   +6 more
europepmc   +1 more source

The Interplay of Curvature, Geometry, and Topology Shapes Tissue Organisation in Epithelial Shells

Advanced Science, EarlyView.
Purely geometric 3D Voronoi models predict the organisation of epithelial shells. The interplay of curvature, geometry, and topology enriches the number of pentagons in shells with lower number of cells. Small MDCK cysts and Mouse embryos match the top polygonal configurations in a compactness‐based ranking derived from the Voronoi model. In conclusion,
Laura Morato, Jesús A. Andrés‐San Román, Juan Garrido‐García, Carmen Gordillo‐Vázquez, Ana M. Palacios, Elisabeth Lidueña‐Fernández, Katie McDole, Pedro Gómez‐Gálvez, Valentina Annese, Luis M. Escudero   +9 more
wiley   +1 more source

MethyAnno: An Interpretable Automated Annotation Method Leveraging Multi‐Scale Information and Metric Learning Framework for scDNAm Data

Advanced Science, EarlyView.
MethyAnno enables robust and interpretable annotation of single‐cell DNA methylation data by integrating multi‐scale epigenetic information, bidirectional cross‐attention, and prototype‐based metric learning. The framework resolves rare and novel cell types across datasets while revealing cell‐type‐specific epigenetic signatures associated with disease
Yuhang Jia, Siyu Li, Songming Tang, Keju Gu, Shengquan Chen   +4 more
wiley   +1 more source

Selective industry adoption of a voluntary front-of-pack nutrition label results in low and skewed uptake: 10-year results for the Health Star Rating. [PDF]

Eur J Clin Nutr
Keaney M, Maganja D, Barrett E, Pettigrew S, Jones A.   +4 more
europepmc   +1 more source

Complementarity between the updated version of the front-of-pack nutrition label Nutri-Score and the food-processing NOVA classification. [PDF]

Public Health Nutr
Sarda B, Kesse-Guyot E, Deschamps V, Ducrot P, Galan P, Hercberg S, Deschasaux-Tanguy M, Srour B, Fezeu LK, Touvier M, Julia C.   +10 more
europepmc   +1 more source

Pragmatic Carbohydrate Quality Metrics in Relation to Glycemic Index, Glycemic Load, and Front-of-Pack Warning Labels in Grain Foods. [PDF]

Foods
Fontanelli MM, Batista LD, Martinez-Arroyo A, Mozaffarian D, Micha R, Rogero MM, Fisberg RM, Sarti FM.   +7 more
europepmc   +1 more source

The estimated impact of mandatory front-of-pack nutrition labelling policies on adult obesity prevalence and cardiovascular mortality in England: a modelling study

Evans R, O’Flaherty M, Edi Putra IGN, Kypridemos C, Robinson E, Colombet Z.   +5 more
europepmc   +1 more source

Out in Front Graduation Invitation 2016 flyer

, 2016
Out in Front
core