Results 211 to 220 of about 64,477 (357)
3D Digital Light Processing of Redox‐Active Polymers for Electrochemical Applications
3D printing of electrochemically switchable conducting polymers is achieved by Digital Light Processing of redox‐active carbazole‐based polymer materials. Complex 2D and 3D architectures including dot arrays and pyramids clearly show the potential for novel 3D switchable electrochemical devices for sensors, electrochromic displays as well as 3D printed
Christian Delavier +4 more
wiley +1 more source
Multidisciplinary Management of a Permanent Central Incisor Fused with a Supernumerary Tooth: A Case Report. [PDF]
Isaabadi M +3 more
europepmc +1 more source
Single Solid‐State Ion Channels as Potentiometric Nanosensors
Single gold nanopores functionalized with mixed self‐assembled monolayers act as solid‐state ion channels for direct, selective potentiometric sensing of inorganic ions (Ag⁺). The design overcomes key miniaturization barriers of conventional ion‐selective electrodes by combining low resistivity with suppressed loss of active components, enabling robust
Gergely T. Solymosi +4 more
wiley +1 more source
A rare case report of supernumerary nostril in an infant: clinical presentation, surgical management, and literature review. [PDF]
Singh DK, Pandit N, Dhakal I, Yadav AK.
europepmc +1 more source
A Case of Impacted Supernumerary Tooth in the Nasal Cavity.
Yayoi Takata, Mitsuhito Sano
openalex +2 more sources
The self‐healable ratiometric mechano‐fluorescent polyurethane (PU) organogel is constructed by incorporating a minor amount (ca. 1.5 wt.%) of the unconventional daisy chain rotaxane (as an artificial molecular muscle toughener) with specific sliding motions and ratiometric emission behaviors into the PU skeleton, which reveals the progressed intrinsic
Tu Thi Kim Cuc +7 more
wiley +1 more source
Intra-abdominal seminoma in polyorchidism with ipsilateral vanishing testis syndrome: A rare case report. [PDF]
Bruinsma JD +4 more
europepmc +1 more source
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source

