Results 221 to 230 of about 572,996 (341)
Mitochondria across the entire neuromuscular system have been comprehensively reconstructed at different developmental stages using 3D electron microscopy. Fundamental structural principles related to synaptic function are preserved across development, and these morphologies are adapted to ensure effective neural circuit function.
J. Alexander Bae+9 more
wiley +1 more source
Collecting initial accounts using ChatCharlie chatbot improves eyewitness memory in later investigative interviews. [PDF]
Dando CJ, Adam CE.
europepmc +1 more source
Conditional and unconditional co-occurrence restrictions in the recall of bigrams [PDF]
Kirk H. Smith
openalex +1 more source
Shared and Unique Neural Codes for Biological Motion Perception in Humans and Macaque Monkeys
Cross‐species fMRI studies reveal distinct neural mechanisms for biological motion (BM) processing. In humans, the posterior superior temporal sulcus (hpSTS) selectively responds to conspecific BM, while monkeys process BM from both species in the middle temporal area (MT).
Yuhui Cheng+7 more
wiley +1 more source
Automatic detection of developmental stages of molar teeth with deep learning. [PDF]
Savaştaer EF, Çelik B, Çelik ME.
europepmc +1 more source
Brief Report: Frequency of Dream Recall, Creativity, and a Control for Anxiety [PDF]
Ronald N. Bone, Faith Corlett
openalex +1 more source
scHeteroNet) is a novel graph neural network model that explicitly addresses heterophily in single‐cell sequencing data enabling accurate cell type annotation and novel cell type discovery. By leveraging heterophily‐aware message passing and novelty propagation mechanisms, scHeteroNet achieves superior performance in both cell annotation and detection ...
Jiacheng Liu+7 more
wiley +1 more source
The pretesting effect under divided attention. [PDF]
Bartl J, Kliegl O, Bäuml KT.
europepmc +1 more source
Effect of contextual meaningfulness on rated association value (m’), number of associations (m), and free recall [PDF]
Harriett Amster, William F. Battig
openalex +1 more source
A Knowledge‐Guided Graph Learning Approach Bridging Phenotype‐ and Target‐Based Drug Discovery
Knowledge‐Guided Drug Relational Predictor (KGDRP), a graph representation learning approach, effectively integrates multiple omics data, including biological network data, gene expression data, and sequence data that incorporates chemical molecular structures.
Qing Ye+10 more
wiley +1 more source