British Journal of Nutrition is an international peer-reviewed journal that publishes original papers and review articles across the full spectrum of nutritional science. The focus of all manuscripts submitted to the journal should be to increase knowledge in nutritional science relevant to human or animal nutrition.

2024年10月24日 · British Journal of Nutrition（以下简称BJN）是一份国际性同行评审期刊，主要刊登营养科学领域的原创论文和评论文章。 所有投给该期刊的稿件都应以增加与人类或动物营养相关的营养科学知识为重点。

British Journal of Nutrition is a leading international peer-reviewed journal covering research on human and clinical nutrition, animal nutrition and basic science as applied to nutrition.

3 天之前 · BRITISH JOURNAL OF NUTRITION杂志网站提供BRIT J NUTR期刊影响因子、JCR和中科院分区查询，SCI期刊投稿经验，Impact Factor（IF），官方投稿网址，审稿周期/时间，研究方向，SCI期刊中科院分区等信息，供科研工作者投稿前参考。

British Journal of Nutrition (BJN) is an international peer-reviewed journal that publishes original papers and review articles in all branches of nutritional science. The underlying aim of all work should be to develop nutritional concepts. This journal uses ScholarOne Manuscripts for online submission and peer review.

Published on behalf of The Nutrition Society. Issue S2 (Pre- and Probiotics: Where are We Today?)

The British Journal of Nutrition (BJN) is a leading international, peer-reviewed journal of nutritional science. Established by the Nutrition Society in 1947, it publishes mainly primary research, including systematic reviews and meta-analyses, and short, topical reviews across the range of nutrition disciplines.

Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop) - bknyaz/graph_nn

BJN provides nurses with an evidence base for clinical practice and a platform for professional development. It shares the information and advice that is key to unlocking your full potential. BJN brings together nursing practice, education and leadership into one comprehensive resource.

Graph neural networks (GNNs), as a branch of deep learning in non-Euclidean space, perform particularly well in various tasks that process graph structure data. With the rapid accumulation of biological network data, GNNs have also become an important tool in bioinformatics.