Results 141 to 150 of about 12,982 (196)
High-performance anode material for Li-ion batteries from bismuth molybdate incorporating F-free binder. [PDF]
Tran TG +9 more
europepmc +1 more source
We developed a nanoparticle named OAF, which simultaneously targeted to both the brain and liver via the transferrin receptor 1 (TfR1) receptor, promoting lipoprotein receptor‐related protein 1 (LRP1) expression to enhance amyloid‐beta (Aβ) clearance. In AD mice model, OAF significantly reduced Aβ deposition and cognitive impairment, while a mitigating
Wenshuai Gong +8 more
wiley +1 more source
Arc-discharge-assembled CNT/MoO<sub>3</sub> nanohybrids for ultra-sensitive and selective sub-ppm ethanol detection at room temperature. [PDF]
Nguyen HM +16 more
europepmc +1 more source
This study explores the opposing effects of the mGluR2 and mGluR3 receptors on amyloid precursor protein processing. mGluR2 promotes amyloidogenic cleavage, while mGluR3 favors non‐amyloidogenic pathways. Using a brain‐penetrant nanobody as a mGluR2 positive allosteric modulator, the study uncovers how its chronic activation aggravates amyloid‐β burden
Pierre‐André Lafon +21 more
wiley +1 more source
A 16-amino acid peptide delays the progression of motor neuron degeneration and pathogenic symptoms in ALS models. [PDF]
Lin CY +6 more
europepmc +1 more source
Fabrication of High‐Density Multimodal Neural Probes Based on Heterogeneously Integrated CMOS
A chiplet‐based methodology democratizes active neural probe development on standard bulk CMOS services. This yields the first probe combining high‐density electrophysiology (416 electrodes) with calcium imaging (832 photodiodes) and complete on‐chip signal processing across 13 shanks.
Ju Hee Mun +10 more
wiley +1 more source
Optimizing adsorption and photocatalysis for tetracycline and sulfamethoxazole removal: the role of Ag+ and NH4 + in Bi-MOF derivatives. [PDF]
Anh Tran V +7 more
europepmc +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source

