Results 181 to 190 of about 161,873 (336)
Unpaired Learning‐Enabled Nanotube Identification from AFM Images
Identifying nanotubes on rough substrates is notoriously challenging for conventional image analysis. This work presents an unpaired deep learning approach that automatically extracts nanotube networks from atomic force microscopy images, even on complex polymeric surfaces used in roll‐to‐roll printing.
Soyoung Na +10 more
wiley +1 more source
Drill bit breakage with tip dislodgment deep into the brain parenchyma: A unique craniotomy complicatıon. [PDF]
Aladdam M +3 more
europepmc +1 more source
Experimental and numerical study of drill bit drop tests on Kuru granite. [PDF]
Fourmeau M, Kane A, Hokka M.
europepmc +1 more source
Merging 4D printing with magneto‐responsive shape memory polymers opens new avenues for intelligent, reconfigurable systems. This review navigates cutting‐edge fabrication techniques, magnetic fillers, and smart polymer matrices, unveiling their potential in soft robotics, biomedical devices, and wearable tech.
Kiandokht Mirasadi +7 more
wiley +1 more source
Investigation of Cuttings Transport in a Reverse Circulation Drill Bit during Direction Drilling Using Two-Phase Flow Simulation. [PDF]
Cui G +5 more
europepmc +1 more source
Fluorinated Carnitine Derivatives as Tools to Visualise Carnitine Transport and Metabolism
Fluorinated carnitines, fluoromethyl carnitine (FMC) and [18F]fluoromethyl carnitine ([18F]FMC), are synthesised and established as powerful probes to interrogate carnitine biology. The multimodal detection facilitated by fluorine labelling, including 19F NMR, mass spectrometry, and positron emission tomography imaging, allowed for visualisation of ...
Richard S. Edwards +8 more
wiley +1 more source
A comparative study of the effect of drilling depth on generation of compressive force by headless compression screws using conical and cylindrical type of drill bit. [PDF]
Kim HS, Kang HJ, Choi YR, Oh WT, Koh IH.
europepmc +1 more source
AI‐Driven Acceleration of Fluorescence Probe Discovery
We present PROBY, an AI model trained on large‐scale datasets to predict key photophysical properties and accelerate the discovery of target‐specific fluorescent probes. By screening a target‐annotated library, PROBY identifies candidate probes for diverse targets and could guide probe optimization, enabling a range of in vitro and in vivo imaging ...
Xuefeng Jiang +18 more
wiley +1 more source
This study demonstrates meningeal lymphatic impairment associated with lung adenocarcinoma brain metastasis progression in both human patients and mouse models, establishes clinically applicable non‐invasive imaging biomarkers for quantitative analyzing mLV structure and function, and reveals mLVs as robust prognostic indicators and promising potential
Yuan Zhang +15 more
wiley +1 more source

