Results 201 to 210 of about 20,775,912 (304)
Impact of Type of Lignin, Alkaline and Lignosulfonate, on Release and Soil Adsorption of Methoxyfenozide Delivered with Lignin-<i>graft</i>-PLGA Nanoparticle. [PDF]
Libi S +4 more
europepmc +1 more source
Deep‐learning‐based signal enhancement is an effective way to recover high‐resolution details from a low‐resolution chromatin contact map. However, due to computational challenges, existing methods commonly divide up the contact map into small patches and create artificial discontinuities at patch boundaries.
Qinyao Li +6 more
wiley +1 more source
A parsimonious Langmuir-Freundlich loading-response framework for sonochemical degradation of nonvolatile organic contaminants: Model comparison, validation, and identifiability. [PDF]
Hamdaoui O.
europepmc +1 more source
ABSTRACT Current prostate cancer detection methods remain limited in non‐invasiveness and specificity, prompting interest in urinary biomarkers such as sarcosine. Here, we report a urine‐powered wearable platform for non‐invasive sarcosine detection as a proof‐of‐concept for decentralized early warning.
Jing Xu +10 more
wiley +1 more source
Hydrodynamic cavitation/UV oxidation of tetracycline: oxidant-dependent performance of hydrogen peroxide and peroxydisulfate. [PDF]
Li W +7 more
europepmc +1 more source
Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale +6 more
wiley +1 more source
From Carbohydrate to Biocompatible Carriers: Impact of Pegylation on the Physicochemical Properties and Quercetin Delivery Performance of Fructose Hydrothermal Carbons. [PDF]
Bracanović I +6 more
europepmc +1 more source
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li +8 more
wiley +1 more source

