Results 101 to 110 of about 360,824 (309)
Response to “Wearable Remote Monitoring and COVID‐19”
Elena S. Izmailova, Theodore F. Reiss
doaj +1 more source
Repertoire Class: February 5, 1971 [PDF]
This is the program for the Repertoire Class recital, held on February 5, 1971.
Division of Music, Repertoire Class
core
Organoid Brain‐Machine‐Interface Devices for Central Nervous System Repair
We envision organoid brain‐machine‐interface (Organoid‐BMI) devices as new biohybrid bidirectional communication pathways to connect the human CNS and the external world for personalized CNS repair and regeneration. ABSTRACT Central nervous system (CNS) repair and regeneration suffer from tremendous clinical challenges due to current limitations in ...
Yantao Xing +10 more
wiley +1 more source
Repertoire Class: January 14, 1972 [PDF]
This is the program for the Repertoire Class recital, held on January 14, 1972.
Division of Music, Repertoire Class
core
An origami worm‐inspired robot achieves multimodal locomotion in confined pipelines through mechatronic integration that embeds actuation, control, and communication within each origami module. Large, reversible configuration and dimensional changes enable 25 gaits synthesized by a unified framework across peristaltic, inchworm, and wheel‐rolling modes
Qiwei Zhang +6 more
wiley +1 more source
Repertoire Class: October 8, 1964 [PDF]
This is the program for the Repertoire Class recital, held on October 8, 1964.
Division of Music, Repertoire Class
core
Umbilical cord stem cell‐derived exosomes encapsulated in an immunomodulatory bioadhesive hydrogel spray enable localized therapy, sustained vesicle delivery, macrophage polarization, suppress systemic inflammation, and mitigate glucose and insulin homeostasis impairments in MAFLD.
Triya Saha +4 more
wiley +1 more source
Repertoire Class: March 4, 1965 [PDF]
This is the program for the Repertoire Class recital, held on March 4, 1965.
Division of Music, Repertoire Class
core
A Generative Neuro‐Symbolic AI for Protein Sequence Design
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne +12 more
wiley +1 more source

