Results 261 to 270 of about 677,568 (372)

Advances in Mode (De)Multiplexing Technologies via Circularly Symmetric Structured Light Beams

open access: yesAdvanced Photonics Research, EarlyView.
This review presents a comprehensive overview of mode (de)multiplexing technologies using circularly symmetric structured light beams, encompassing strategies of beam splitter combinations, multiorder diffractive gratings, optical coordinate transformations, angular dispersion lenses, multilayer cascaded modulations, and multidimensional hybrid (de ...
Qingji Zeng   +7 more
wiley   +1 more source

Differential benefit of adjuvant everolimus according to endocrine therapy backbone in the randomized UNIRAD trial. [PDF]

open access: yesESMO Open
Saint-Ghislain M   +20 more
europepmc   +1 more source

Snap and Jump: How Elastic Shells Pop Out

open access: yesAdvanced Robotics Research, EarlyView.
Indent an elastomeric shell and let it go. The spherical shells can store and release the elastic energy. Desktop‐scale experiments, material point method simulation, and analytical theory uncover the fundamental mechanism of soft jumping robots.
Takara Abe   +7 more
wiley   +1 more source

Questionnaire Survey of Dual-energy Computed Tomography Utilization in Clinical Practice in Japan. [PDF]

open access: yesIn Vivo
Ohira S   +10 more
europepmc   +1 more source

Non‐Invasive Diagnosis of Hypertrophic Cardiomyopathy by Breath

open access: yesAdvanced Sensor Research, EarlyView.
The use of sensor technologies for the diagnosis of hypertrophic cardiomyopathy (HCM) by identification of volatile organic compounds (VOCs) in breath samples. By combining gas chromatography‐mass spectrometry (GC‐MS) and electronic nose (eNose) platforms, specific VOC patterns associated with HCM are detected and analyzed.
Yael Hershkovitz‐Pollak   +5 more
wiley   +1 more source

Effect of Atomic Charges on C2H2/CO2/CH4 Separation Performances of Covalent‐Organic Framework Adsorbents

open access: yesAdvanced Theory and Simulations, EarlyView.
Three charge assignment approaches (one quantum chemistry method‐based, the other two machine‐learning (ML) model‐based) are employed to investigate acetylene separation performances of experimental covalent‐organic frameworks. Partial Atomic Charge Predicter for Porous Materials based on Graph Convolutional Neural Network (PACMAN) ML model‐based ...
Hakan Demir, Ilknur Erucar
wiley   +1 more source

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