Results 201 to 210 of about 27,878 (280)
TinyNS: Platform-Aware Neurosymbolic Auto Tiny Machine Learning. [PDF]
Saha SS +6 more
europepmc +1 more source
A programmable passive digital shutter based on multiphase liquid–liquid interface dynamics is introduced for precise fabrication of hydrogel microfibers. By modulating the shutter operation, microfibers with tunable geometry—including linear, helical, tadpole‐like, and spherical forms—are produced.
Dongrui Zhang +14 more
wiley +1 more source
Towards Learning Discrete Representations via Self-Supervision for Wearables-Based Human Activity Recognition. [PDF]
Haresamudram H, Essa I, Plötz T.
europepmc +1 more source
Nuclear Factor I‐B Delays Liver Fibrosis by Inhibiting Chemokine Ligand 5 Transcription
This study identifies the transcription factor Nuclear Factor I‐B (NFIB) as a key suppressor of liver fibrosis. NFIB expression declines during hepatic stellate cell activation, and its overexpression reduces fibrosis in mice models. The mechanism involves NFIB directly repressing chemokine C─C motif ligand 5 (CCL5), thereby alleviating oxidative ...
Qianqian Chen +14 more
wiley +1 more source
Targeted Energy Transfer Dynamics and Chemical Reactions. [PDF]
Almazova N, Aubry S, Tsironis GP.
europepmc +1 more source
Efficient Symbolic Aggregate Approximation and Motif Pattern Discovery on Time Series Data
早大学位記番号 ...
openaire
A high‐throughput in silico calculations for NO3RR based on transition metal doped and nitrogen decorated biphenylene network are performed. A symbolic regression is designed to capture the hidden descriptors of NO3RR for hyper dimensional system entailing large geometric variability.
Zheng Shu +9 more
wiley +1 more source
Psychology's Questionable Research Fundamentals (QRFs): Key problems in quantitative psychology and psychological measurement beyond Questionable Research Practices (QRPs). [PDF]
Uher J +11 more
europepmc +1 more source
Identifying disease‐causing genes in neurocognitive disorders remains challenging due to variants of uncertain significance. CLinNET employs dual‐branch neural networks integrating Reactome pathways and Gene Ontology terms to provide pathway‐level interpretability of genomic alterations.
Ivan Bakhshayeshi +5 more
wiley +1 more source
Shannon Entropy in Uncertainty Quantification for the Physical Effective Parameter Computations of Some Nanofluids. [PDF]
Kamiński M, Ossowski RL.
europepmc +1 more source

