Results 91 to 100 of about 294,176 (261)

Confirmation of SRGt 062340.2-265751 as a nova-like cataclysmic variable with a possible magnetic nature

Astronomy & Astrophysics
SRGt 062340.2-265751, a cataclysmic variable identified by SRG/eROSITA thanks to its significant X-ray variability, remains poorly characterised despite the multi-wavelength follow-up.
Cúneo V. A., Schwope A. D., Kurpas J., Avakyan A., Brink J., Buckley D. A. H., Maitra C., Veresvarska M.   +7 more
doaj   +1 more source

Distinct Biotypes of Visual Perception in Major Depressive Disorder

Advanced Science, EarlyView.
In a discover dataset (272 acute MDD patients), this work identifies a novel depression biotype characterized by impaired visual motion perception, using machine learning clustering. An independent dataset confirms the robustness of this biotype through cross‐validation and demonstrates its generalizability.
Zhuoran Cai, Xi‐Wen Hu, Yuyang Li, Zheng Lin, Yongjie Li, Yong‐Chun Cai, Tao Xu, Ke Jia, Jin‐Fang Han, Zhong‐Lin Tan, Dezhong Yao, Xue Mei Song, Sugai Liang, Georg Northoff   +13 more
wiley   +1 more source

Definitions of ultra-processed foods beyond NOVA: a systematic review and evaluation

Food & Nutrition Research
Background: Ultra-processed foods (UPFs) are associated with negative health outcomes, but current classification systems, including the dominant NOVA system, are typically not suitable for identifying which factors of these foods may be harmful.
Anine Christine Medin, Stine Rambekk Gulowsen, Synne Groufh-Jacobsen, Ingunn Berget, Ida Synnøve Grini, Paula Varela   +5 more
doaj   +1 more source

Effect of dietary and lifestyle intervention in pregnant women: randomized clinical trial [PDF]

Revista de Saúde Pública
OBJECTIVE To evaluate the intra- and between-group (control and intervention) effect of counseling during pregnancy on pregnant women’s food consumption and physical activity.
Maria Carolina de Lima, Natalia Posses Carreira, Daniela Saes Sartorelli   +2 more
doaj   +1 more source

A Leaf‐Inspired Janus‐Structured Triboelectric‐Moisture Hybrid Energy Harvester

Advanced Energy Materials, EarlyView.
This study proposes a bioinspired Janus structured energy‐leaf with hybrid triboelectric‐moisture hybrid energy harvesters. This hybrid energy harvester is demonstrated in an intelligent emergency system for effective distress signaling and evacuation guiding during potential crises.
Liang Wei, Rui Gu, Yixuan Fu, Ziwei Huo, Chao Liu, Jiahong Yang, Siqi Sun, Yang Liu, Qijun Sun, Dong‐Hwan Kim, Zhong Lin Wang   +10 more
wiley   +1 more source

Hybrid modeling for optimizing cell cultivation in mAb production using a small‐scale automated experimental platform

AIChE Journal, EarlyView.
Abstract This work presents the optimization of cell cultivation for monoclonal antibody (mAb) production. We developed a hybrid model describing the effects of multiple process variables on antibody productivity and impurity generation. An automated platform with 12 × 250 mL bioreactors was set up.
Kosuke Nemoto, Yuki Yoshiyama, Mizuki Morisasa, Junshin Iwabuchi, Yusuke Hayashi, Sara Badr, Hirokazu Sugiyama   +6 more
wiley   +1 more source

Classification NOVA : degré de transformation des aliments et santé

, 2017
Classification NOVA : degré de transformation des aliments et santé.
Fardet, Anthony, Rock, Edmond
openaire   +3 more sources

Study on Syntaxonomic Diversity of Algal Cenoses in Soils of the Russian Far East, Using an Integrative Taxonomic Approach

Plants
Soil is a unique ecosystem with peculiar biodiversity that includes cyanobacteria and algae. Traditionally, cyanobacterial and algal cenoses were described mainly using the dominance approach, rarely based on the Braun-Blanquet method (floristic ...
Shamil R. Abdullin, Arthur Yu. Nikulin, Veronika B. Bagmet, Vyacheslav Yu. Nikulin, Elena A. Zharikova, Irina V. Kiseleva, Andrey A. Gontcharov   +6 more
doaj   +1 more source

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

Advanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi, Kateryna Andriienkova, Tetyana Goldanova, Ezgi Antmen, Thibaut Soubrie, Nihal Engin Vrana   +5 more
wiley   +1 more source

Scalable Platform Enabling Reservoir Computing With Nanoporous Oxide Memristors for Image Recognition and Time Series Prediction

Advanced Intelligent Systems, EarlyView.
The approach of physical in materia computing incorporates parallel computing within the medium itself. A scalable and energy‐efficient, oxide‐based computational platform is realized in form of a nanoporous network of volatile niobium oxide memristors sandwiched between top and bottom metallic electrodes, and then tested for prediction and ...
Joshua Donald, Ben A. Johnson, Amir Mehrnejat, Alex Gabbitas, Arthur G. T. Coveney, Alexander G. Balanov, Sergey Savel’ev, Pavel Borisov   +7 more
wiley   +1 more source