Results 171 to 180 of about 10,343,403 (331)

RNA G‐Quadruplex RIBOTAC‐Mediated Targeted Degradation of lncRNA TERRA

open access: yesAdvanced Science, EarlyView.
This study introduces a selective RNA degradation strategy targeting long noncoding RNA (lncRNA) TERRA, upregulated in ALT (alternative lengthening of telomeres) cancer cells. Using ribonuclease‐targeting chimeras (RIBOTACs), RNase L is recruited to catalytically degrade TERRA, uncovering a novel approach to affect a disease associated lncRNA in ALT ...
Elias Khaskia   +2 more
wiley   +1 more source

Electroluminescence From a 1D Metal–Organic Chalcogenide Enabled by a Minute‐Scale Facile Synthesis

open access: yesAdvanced Science, EarlyView.
From Minutes to Light: A rapid, vapor‐assisted solution process of highly luminescent 1D metal–organic chalcogenide (MOC) films enables the fabrication of the first MOC‐based LEDs, unlocking electroluminescence from this emerging class of materials. Abstract Metal–organic chalcogenides (MOCs) represent a unique materials platform promising to overcome ...
Sang‐Hyun Chin   +14 more
wiley   +1 more source

Unraveling Alkali Ion Electron Donation for Enhancing Heterogeneous Catalytic Oxidation

open access: yesAdvanced Science, EarlyView.
A new mechanistic pathway for potassium (K) ions as electron donors is identified by constructing single K ion chains confined within hexagonal WO3 tunnels. The as‐produced high‐electron‐density Kδ+ (0<δ<1) ions not only facilitate the formation of oxygen vacancies that behave classical electronic effect but, more importantly, also directly donate ...
Jin Wang   +6 more
wiley   +1 more source

Toward High‐Performance Electrochemical Energy Storage Systems: A Case Study on Predicting Electrochemical Properties and Inverse Material Design of MXene‐Based Electrode Materials with Automated Machine Learning (AutoML)

open access: yesAdvanced Electronic Materials, EarlyView.
This study demonstrates PyCaret's AutoML framework for predicting the electrochemical and structural properties of MXene‐based electrodes, including intercalation voltage, capacity, and lattice constants. AutoML streamlines workflows, ranks key elemental descriptor, and enables inverse molecular formula prediction based on performance targets.
Berna Alemdag   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy