Results 111 to 120 of about 8,133 (262)
Nanocellulose, derived from microcrystalline cellulose (MCC) through sulfuric acid hydrolysis or mechanical grinding to produce CNC or CNF, was tested in a rat ICP model. Particularly, CNF improved gut microbiota composition, reduced secondary bile acid metabolism, and restored bile acid homeostasis through modulation of the gut–liver axis.
Muhua Yu +18 more
wiley +1 more source
This study identifies palmitoylation as a novel regulatory modification of SMAD4, mediated by ZDHHC22/APT2. It activates fatty acid synthesis, creating a self‐reinforcing SMAD4–FASN–palmitate feedback loop that drives pancreatic cancer growth and enhances radiotherapy sensitivity.
Yang Wang +16 more
wiley +1 more source
Data‐Driven Equation Discovery of a Cloud Cover Parameterization
A promising method for improving the representation of clouds in climate models, and hence climate projections, is to develop machine learning‐based parameterizations using output from global storm‐resolving models.
Arthur Grundner +3 more
doaj +1 more source
Analysis of Cloud-Resolving Model Simulations for Scale Dependence of Convective Momentum Transport. [PDF]
Liu YC, Fan J, Xu KM, Zhang GJ.
europepmc +1 more source
A Microbial Lipid‐ATP Synthase Axis Fuels NK Cell Antitumor Activity
This study focuses on the mechanism by which gut microbiota‐derived outer membrane vesicles (OMVs) regulate NK cell antitumor activity. B. intestinalis is identified to decrease extra‐intestinal tumor growth via its OMVs enriched in sphingosine (SP).
Kaiyuan Yu +16 more
wiley +1 more source
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
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
Mapping the “Supply–Demand–Flow” of Ecosystem Services for Ecosystem Management in China
This study develops a “supply–demand–flow” framework clarifies how ecosystem services move between regions by distinguishing potential and actual supply and demand. Using integrated biophysical–socioeconomic modeling, nine services in China were mapped.
Yikun Zhang +3 more
wiley +1 more source
MetalCenter‐Dependent Selectivity Divergence in MN4 Single‐Atom Catalysts for Aerobic HMF Oxidation
Two single‐atom catalysts with M‐N4 configurations (FeN4 and CoN4) were developed for selective HMF oxidation. FeN4 achieves 93.9% selectivity toward FFCA via superoxide anions (O2•−), while CoN4 preferentially produces FDCA through hydroxyl radicals (•OH). DFT calculations reveal that distinct adsorption energies and charge redistribution at the metal
Haoyu Wang +6 more
wiley +1 more source
Internal Ocean‐Atmosphere Variability in Kilometer‐Scale Radiative‐Convective Equilibrium
We describe internal, low‐frequency variability in a 21‐year simulation with a cloud‐resolving model. The model domain is the length of the equatorial Pacific and includes a slab ocean, which permits coherent cycles of sea surface temperature (SST ...
Adam B. Sokol +3 more
doaj +1 more source

