Results 261 to 270 of about 409,908 (333)

Nutritional quality indicators as complementary functional units for the sustainability assessment of grain-based foods in Sweden. [PDF]

Curr Res Food Sci
Cassarino M, Giuberti G, Dall'Asta M, Moshtaghian H, Bianchi M.   +4 more
europepmc   +1 more source

Correction: Dietary assessment and dietary guidelines across 11 European Union countries: a review from the PLAN'EAT project. [PDF]

Front Nutr
Aureli V, Grant F, Aguilar-Martínez A, Brons A, Fardet A, Chang B, Vespa F, Kirschner J, Kopczynska E, Böröcz L, Jacobsen M, Ghukasyan S, Manios Y, Gwozdz W, Antal E, Rossi L.   +15 more
europepmc   +1 more source

Seasonal variability of the microzooplankton biomass and community composition on the Northeast US Shelf. [PDF]

J Plankton Res
Lopez F, Marrec P, Menden-Deuer S.
europepmc   +1 more source

NMR-Based Metabolomic and QMB-Based E-Nose Approaches to Evaluate the Quality and Sensory Features of Pasta Fortified with Alternative Protein Sources. [PDF]

Molecules
Chiossi M, De Santis D, Modesti M, Ferri S, Fidaleo M, Buonocore F, Porcelli F, Imperlini E.   +7 more
europepmc   +1 more source

Fortification of Durum Wheat Pasta with Nut Oil Cake: Effects on Nutritional and Technological Properties. [PDF]

Molecules
Gałkowska D, Pycia K, Krykhta A.
europepmc   +1 more source

Primary Shelf-Life Assessment of Fresh Vegan Spinach Potato-Based Pasta (Gnocchi) Using an Accelerated Test Approach. [PDF]

Foods
Zardetto S, Arp CG, Pasini G.
europepmc   +1 more source

Physiochemical Characterization and Antioxidant Potential of Sorghum and Cork Oak as Valuable Additives to Traditional <i>Trida</i> Pasta. [PDF]

Foods
Sabouni R, Himed L, Akachat B, Wójtowicz A, Kasprzak-Drozd K, Namoune H, Merniz S, D'Elia M, Rastrelli L, Oniszczuk A.   +9 more
europepmc   +1 more source

La pasta

, 1974
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Pasta: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization

IEEE International Conference on Computer Vision, 2022
Synthetic data offers the promise of cheap and bountiful training data for settings where labeled real-world data is scarce. However, models trained on synthetic data significantly underperform when evaluated on real-world data. In this paper, we propose
Prithvijit Chattopadhyay, Kartik Sarangmath, Vivek Vijaykumar, Judy Hoffman   +3 more
semanticscholar   +1 more source