Results 321 to 330 of about 697,276 (400)

In Silico Identification of LSD1 Inhibition-Responsive Targets in Small Cell Lung Cancer. [PDF]

open access: yesBioengineering (Basel)
Nalkiran I   +3 more
europepmc   +1 more source

Wireless Technologies for Wearable Electronics: A Review

open access: yesAdvanced Electronic Materials, EarlyView.
This review discusses recent advancements in wireless wearable electronics, focusing on communication technologies and power solutions. It covers key design considerations, explores wireless protocols from short‐ to long‐range networks, and examines powering methods such as integrated sources and energy harvesting.
Choong Yeon Kim   +8 more
wiley   +1 more source

Rapid and Ultra‐Sensitive SARS‐CoV‐2 Subgenomic RNA Detection Using Single‐Molecule With a Large Transistor‐SiMoT Bioelectronic Platform

open access: yesAdvanced Electronic Materials, EarlyView.
The single‐molecule with a large transistor‐SiMoT is proposed for the detection of the subgenomic RNA of SARS‐CoV‐2, achieving a diagnostic sensitivity of 98.0% and a specificity of 87.8%. The SiMoT technology, currently at TRL‐5, is suitable for point‐of‐care settings and delivers the result to the end user in 30 min.
Eleonora Macchia   +12 more
wiley   +1 more source

Unveiling the Neighboring Screening Effect and Strong p‐d Coupling in CO2 Reduction on Graphene‐Supported Metal‐Free and Iron Phthalocyanine

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
This study investigates the catalytic mechanisms of phthalocyanine and iron phthalocyanine in CO2 reduction reactions, analyzing C1 pathway energetics and electron behavior modulated by Fe–N p‐d coupling, with identified screening shielding effects on second‐nearest neighbors.
Zikang Li   +9 more
wiley   +1 more source

Multiple LPA<sub>3</sub> Receptor Agonist Binding Sites Evidenced Under Docking and Functional Studies. [PDF]

open access: yesInt J Mol Sci
Solís KH   +5 more
europepmc   +1 more source

π‐PhenoDrug: A Comprehensive Deep Learning‐Based Pipeline for Phenotypic Drug Screening in High‐Content Analysis

open access: yesAdvanced Intelligent Systems, EarlyView.
This study develops a deep learning‐based pipeline named π‐PhenoDrug for cell phenotype‐driven drug activity screening. π‐PhenoDrug integrates cell segmentation, morphological profile construction, and phenotype analysis modules, and it can assess drug effects on living cells in both supervised and unsupervised modes.
Xiao Li   +7 more
wiley   +1 more source

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