Results 61 to 70 of about 154,459 (280)
This review summarizes the roles of key central nervous system cell types, the extracellular matrix, and the blood‐brain barrier in neuroinflammation, and their integration into diverse 3D culture systems. It examines major incorporation strategies, including direct co‐culture, hydrogel encapsulation, transwell migration assays, and bioprinting ...
Emmanuelle D. Aiyegbusi +2 more
wiley +1 more source
Tree Memory Networks for Modelling Long-term Temporal Dependencies
In the domain of sequence modelling, Recurrent Neural Networks (RNN) have been capable of achieving impressive results in a variety of application areas including visual question answering, part-of-speech tagging and machine translation.
Denman, Simon +4 more
core +1 more source
Neural cell–derived small extracellular vesicles (sEVs) are emerging as pivotal mediators in neurodegenerative diseases, exerting both pathogenic and therapeutic functions. This review synthesizes current evidence on how sEVs from distinct neural cell types regulate neurodegeneration, neuroprotection, biomarker discovery, and targeted drug delivery ...
Muhammad Waqas Salim +4 more
wiley +1 more source
Short-term traffic flow prediction based on adaptive rank dynamic tensor analysis
Short-term traffic flow prediction in intelligent transportation system can provide data support in areas such as route planning,traffic management,public safety and so on.In order to improve the prediction accuracy with missing and abnormal data,a short-
Lingchao HE, Dong LIN, Xinxin FENG
doaj +2 more sources
A short-term traffic flow prediction network using filter-genetic feature selection method
Accurate selection of spatial-temporal features is key to the short-term traffic flow prediction model outputting higher quality results, which can effectively reduce the difficulty of constructing the prediction model.
Bo Wang +4 more
doaj +1 more source
Cerebral organoids are transforming brain research, yet the field remains fragmented. This comprehensive systematic review maps 738 studies published between 2014 and 2024 to uncover trends, gaps, and opportunities across neuroscience. Introducing OrganoidMap—an interactive, open‐access platform to explore and compare models—this work enables ...
Anna Wolfram +10 more
wiley +1 more source
A parallel spatiotemporal deep learning network for highway traffic flow forecasting
Spatiotemporal features have a significant influence on traffic flow prediction. Due to the potentially internal relationship of adjacent roads, spatial information can, to some extent, affect traffic flow forecasting.
Dongxiao Han, Juan Chen, Jian Sun
doaj +1 more source
ABSTRACT The ascent of novel alternative methods in drug development spotlights the dual needs for improved biological fidelity to in vivo, along with reproducibility, especially in regulatory applications. The need for pre‐clinical models of patient‐derived endometriosis lesions motivates the development of a vascularizable, completely synthetic ...
Lauren Pruett +7 more
wiley +1 more source
Human migration patterns in large scale spatial with the resume data
Researches on the human mobility have made great progress in many aspects, but the long-term and long-distance migration behavior is lack of in-depth and extensive research because of the difficult in accessing to household data.
Liu, Jin-Hu +4 more
core +1 more source
A two‐phase workflow (OFAT screening followed by central composite design) maps how processing variables tune PFCE‐PLGA nanoparticle size, dispersity, surface charge, loading, and 19F‐MRI signal. In situ, time‐resolved synchrotron SAXS tracks albumin‐corona growth on intact dispersions and reveals PFCE‐dependent adsorption pathways.
Joice Maria Joseph +11 more
wiley +1 more source

