Results 221 to 230 of about 2,293,223 (269)

Microglial dynamics and ferroptosis induction in human iPSC‐derived neuron–astrocyte–microglia tri‐cultures

FEBS Open Bio, EarlyView.
A tri‐culture of iPSC‐derived neurons, astrocytes, and microglia treated with ferroptosis inducers as an Induced ferroptosis model was characterized by scRNA‐seq, cell survival, and cytokine release assays. This analysis revealed diverse microglial transcriptomic changes, indicating that the system captures key aspects of the complex cellular ...
Hongmei Lisa Li, Hiroko Ohmiya, Sou Sakamoto, Masato Yugami, Akiko Oki, Makoto Furusawa, Yan Ling   +6 more
wiley   +1 more source

Integrating swin transfer with attention mechanism based hybrid deep learning driven automated human activity recognition for enhanced disability assistance. [PDF]

Sci Rep
Khadidos AO, Alsini R.
europepmc   +1 more source

Multi‐omics and low‐input proteomics profiling reveals dynamic regulation driving pluripotency initiation in early mouse embryos

FEBS Open Bio, EarlyView.
Mouse pre‐implantation development involves a transition from totipotency to pluripotency. Integrating transcriptomics, epigenetic profiling, low‐input proteomics and functional assays, we show that eight‐cell embryos retain residual totipotency features, whereas cytoskeletal remodeling regulated by the ubiquitin‐proteasome system drives progression ...
Wanqiong Li, Xi Xiao, Lingbin Qi, Chanyi Li, Sirui Song, Jiaying Qin, Zhigang Xue, Jinfeng Xue, Huaifang Li   +8 more
wiley   +1 more source

Machine Learning for Human Activity Recognition: State-of-the-Art Techniques and Emerging Trends. [PDF]

J Imaging
Hossen MA, Abas PE.
europepmc   +1 more source

IoT powered RNN for improved human activity recognition with enhanced localization and classification. [PDF]

Sci Rep
Al Mudawi N, Azmat U, Alazeb A, Alhasson HF, Alabdullah B, Rahman H, Liu H, Jalal A.   +7 more
europepmc   +1 more source

Intelligent deep learning for human activity recognition in individuals with disabilities using sensor based IoT and edge cloud continuum. [PDF]

Sci Rep
Maray M.
europepmc   +1 more source

TCN-MAML: A TCN-Based Model with Model-Agnostic Meta-Learning for Cross-Subject Human Activity Recognition. [PDF]

Sensors (Basel)
Lin CY, Lin CY, Liu YT, Chen YW, Ng HF, Shih TK.   +5 more
europepmc   +1 more source

Robust two stages federated learning for sensor based human activity recognition with label noise. [PDF]

Sci Rep
Sun H, Yao J, Li X, Liu Y, Gu H.
europepmc   +1 more source

Data Reconstruction Methods in Multi-Feature Fusion CNN Model for Enhanced Human Activity Recognition. [PDF]

Sensors (Basel)
Ko JE, Kim S, Sul JH, Kim SM.
europepmc   +1 more source

From motion to human activity recognition.

, 2021
openaire   +1 more source