Results 211 to 220 of about 597,354 (286)

Nutritional Potential, Phytochemical Content, In Vivo Antioxidant, and Antanemic Potential of Musa paradisiaca Flower

Food Chemistry International, EarlyView.
After collecting Musa paradisiaca leaves, some were dried and others were used to produce aqueous extracts. The extracts and powders were characterized and then administered to rats made anaemic by PHZ. After 14 days of administration of the two samples, the rats were euthanized and it was observed that after 9 days of treatment, the aqueous extract ...
Josée Rebeca Nombo, Jethro Roland Misse Ngangue Ekwala, Somon Régine Tuem, Stéphano Tene Tambo, Merlin Ngafon Nchoutpouen, Valery Jean François Nsoga, Jules Christophe Koule Manz, Jordan Mekui Nwotue, Mathieu Ndomou   +8 more
wiley   +1 more source

Speed up Multi-Scale Force-Field Parameter Optimization by Substituting Molecular Dynamics Calculations with a Machine Learning Surrogate Model. [PDF]

Chemphyschem
Strickstrock R, Hagg A, Reith D, Kirschner KN.   +3 more
europepmc   +1 more source

Water‐Holding Capacity Regulation of Dietary Fibers in Soybean Residue: From Modification Strategies, to Function Improvement and Food Texture Optimization

Food Frontiers, EarlyView.
Soybean residue exhibits poor water holding capacity (WHC) due to high insoluble dietary fiber (>95%). Modification strategies (physical, biological, and chemical) enhance WHC by altering fiber structure/function, enabling optimized food texture and functional food development in meat, bakery, dairy, and other food systems.
Zhengyang Cheng, Caili Zhang, Shuying Li, Yayuan Xu, Yaqiong Wan, Hansong Yu, Fengzhong Wang, Jianghua Cheng   +7 more
wiley   +1 more source

Quantifying the non-isomorphism of global urban road networks using GNNs and graph kernels. [PDF]

Sci Rep
Tian L, Rao W, Zhao K, Vo HT.
europepmc   +1 more source

Harnessing deep learning to quantify microstructural complexity in confocal images of plant protein gels

Food Biomacromolecules, EarlyView.
Abstract Understanding plant protein gel microstructure is key to designing functional food systems. This study introduces a deep learning framework using a U‐Net model with a ResNet34 encoder to segment and quantify confocal laser scanning microscopy (CLSM) images of plant protein gels.
Zhi Yang
wiley   +1 more source

Bounding Seed Loss from Isolated Habitat Patches. [PDF]

Bull Math Biol
Hafner B, Meyer K.
europepmc   +1 more source

Oil Futures Prices, Inflation Expectations, and Bond Risk Premiums

Journal of Futures Markets, EarlyView.
ABSTRACT By decomposing West Texas Intermediate futures price changes into structural supply and demand shocks, this paper shows that dissecting the oil price significantly improves inflation forecasts. Empirically, demand‐driven shocks predict a negative real bond risk premium but a positive inflation risk premium; these opposing effects result in an ...
Haibo Jiang
wiley   +1 more source

Fine-grained image classification using the MogaNet network and a multi-level gating mechanism. [PDF]

Front Neurorobot
Li D, Chen S.
europepmc   +1 more source

Exploring a Novel Conv‐Transformer Network for Multi‐Modality Heart Segmentation

iRADIOLOGY, EarlyView.
We propose SFAM‐TransUnet for multimodality whole heart segmentation, a novel deep learning framework combining CNNs and transformers. Extensive experiments conducted on the clinical Multi‐Modality Whole Heart Segmentation datasets demonstrate that SFAM‐TransUnet outperforms various alternative methods.
Youyou Ding, Hao Dang, Jiayi Luo, Xiaoyu Zhuo, Ningyu Huang, Junsheng Xiao, Zongwang Lv   +6 more
wiley   +1 more source

Cannabis pollen dispersal across the United States. [PDF]

Sci Rep
Nimmala M, Ross SD, Foroutan H.
europepmc   +1 more source