Nickel–aluminum composite oxide (NiAlOx‐300) derived from NiAl layered double hydroxide showed high activity for hydrogenolysis of various lignin models. Especially, hydrogenolysis of benzyl phenyl ether could be efficiently proceeded at 20°C and 1 MPa H2.
Jinpeng Liang +9 more
wiley +1 more source
Sub-ppb level HCN photoacoustic sensor employing dual-tube resonator enhanced clamp-type tuning fork and U-net neural network noise filter. [PDF]
Wang L +11 more
europepmc +1 more source
Mild Focal Cooling Decouples Dendrites to Reconfigure Cortical Output
Mild cooling of the cortical surface selectively modulates apical dendritic excitability, plasticity, and somato‐dendritic coupling, while uncoupling these effects from basal dendrites, and reshapes apical‐driven responses in barrel cortex during whisker touch.
Meisam Habibi Matin +2 more
wiley +1 more source
Natural Variation of NAR5 Determines Nitrogenase Activity and the Yield in Soybean
This study identified NAR5, a gene encoding a subtilisin‐like protease, that regulates nitrogenase activity in soybean nodules. Overexpressing NAR5 delayed nodule senescence, enhancing nitrogenase activity, yield, and low‐nitrogen tolerance. The elite haplotype NAR5HapI‐1 linked to superior nitrogenase activity and greater seed weight has been ...
Chao Ma +11 more
wiley +1 more source
Talin folding as the tuning fork of cellular mechanotransduction. [PDF]
Tapia-Rojo R +2 more
europepmc +1 more source
Printable Conductive Hydrogels for Electrochemical Biosensing and Soft Bioelectronic Interfaces
Flexible, conductive hydrogels that integrate printability, mechanical tunability, biocompatibility, and electronic performance remain challenging to achieve. Here, we develop 3D‐printable poly(ethylene glycol)–poly(pyrrole)‐ hydrogels with tissue‐like mechanics, high cytocompatibility, and robust electrochemical function.
Lukas Hein +6 more
wiley +1 more source
Tuning forks with optimized geometries for quartz-enhanced photoacoustic spectroscopy
Pietro Patimisco +8 more
openalex +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
Orbweavers' Differential Responses to a Tuning-Fork
F. L. Wells
doaj +1 more source
Traction Force Microscopy for Viscoelastic Substrates: A Semi‐Analytical Method
A semi‐analytical viscoelastic traction force microscopy framework is introduced for quantifying time‐resolved cell tractions on flat finite‐thickness substrates. The method generalizes elastic traction force microscopy to Generalized Maxwell materials, identifies when elastic approximations remain valid and, when they do not, shows that inferred ...
Adrià Villacrosa‐Ribas +10 more
wiley +1 more source

