Electrosynthesis of Bioactive Chemicals, From Ions to Pharmaceuticals
This review discusses recent advances in electrosynthesis for biomedical and pharmaceutical applications. It covers key electrochemical materials enabling precise delivery of ions and small molecules for cellular modulation and disease treatment, alongside catalytic systems for pharmaceutical synthesis.
Gwangbin Lee +4 more
wiley +1 more source
Synthetic Cadaver Odorants and the Sulfur Gap: Linking Chemistry and Canine Olfaction in Human Remains Detection. [PDF]
Kowalczyk-Jabłońska I +2 more
europepmc +1 more source
Studies on the Characteristic Odor of Squid-V
Tei Yamanishi, Yasuko KAJIKAWA
openalex +2 more sources
Powering the Future: A Cobalt‐Based Catalyst for Longer‐Lasting Zinc–Air Batteries
A novel N‐doped graphitic shell‐encapsulated Co catalyst reveals superior bifunctional ORR/OER activity in alkaline media, empowering outstanding liquid and quasi‐solid‐state ZAB activity. The system delivers long‐term durability, a peak power density of 127 mW cm−2 and successfully powers an LED and a mini fan.
Manami Banerjee +10 more
wiley +1 more source
Dopaminergic short axon cells integrate sensory and top-down inputs to enhance discriminative learning in the mouse olfactory bulb. [PDF]
Garg R +6 more
europepmc +1 more source
New Insights into the Roles of cAMP and InsP3 on Odor-Processing and Olfactory-Driven Behaviors
Meena Sriti Murmu
openalex +1 more source
DNA strands are employed both as dynamic linkers and nanoscale templates for the integration of Ag2S nanoparticles on MoS2, which in turn imparted photothermal responsiveness; this feature permits the selective cargo (fluorophore, quantum dots or an enzyme) release from the MoS2 surface in response to local heat induced by light irradiation.
Kai Chen +3 more
wiley +1 more source
Effects of pollination cultivars on the characteristic volatile organic compounds in pears using <i>E</i>-nose, HS-SPME-GC-MS, and HS-GC-IMS. [PDF]
Zhou F +9 more
europepmc +1 more source
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
Neuron synchronization analyzed through spatial-temporal attention. [PDF]
Yang H +6 more
europepmc +1 more source

