Artificial Intelligence‐Driven Soft Bioelectronics for Self‐Powered Respiration Monitoring
Artificial intelligence‐driven soft bioelectronics for self powered respiration monitoring based on triboelectric nanogenerators (TENGs), piezoelectric nanogenerators (PENGs), and magnetoelastic generators (MEGs) enable continuous and multi‐scenario respiratory biomechanical data collection. Coupled with machine learning and big data driven diagnostics,
Xinkai Xu, Xiao Xiao, Rui Guo, Jun Chen
wiley +1 more source
Remodeling the tumor dormancy ecosystem to prevent recurrence and metastasis. [PDF]
Liang Y, Chen WM, Zhang Y, Li L.
europepmc +1 more source
Dissecting the genetic architecture of pre-harvest sprouting tolerance in Indian dwarf wheat (Triticum sphaerococcum) by multi-locus association analysis. [PDF]
Sharma D +14 more
europepmc +1 more source
Fire and seed dormancy: a global meta-analysis. [PDF]
Monemizadeh Z +9 more
europepmc +1 more source
Hormonal Interplay of GAs and Abscisic Acid in Rice Germination and Growth Under Low-Temperature Stress. [PDF]
Kim N +5 more
europepmc +1 more source
Effects of summer flooding on hormones and metabolic enzymes in <i>Myricaria laxiflora</i> during recovery growth. [PDF]
Liu Y +5 more
europepmc +1 more source
Dormancy Versus Germination: 3D Protein Modeling and Evolutionary Analyses Define the Roles of Genetic Variants in the Barley MKK3 Enzyme. [PDF]
Hrmova M +5 more
europepmc +1 more source

