Results 211 to 220 of about 5,068,920 (347)

Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery

open access: yesAdvanced Functional Materials, EarlyView.
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer   +10 more
wiley   +1 more source

Performance of ChatGPT and DeepSeek in the Management of Postprostatectomy Uri-nary Incontinence. [PDF]

open access: yesInt Braz J Urol
Pinto VBP   +9 more
europepmc   +1 more source

Atomic Size Misfit for Electrocatalytic Small Molecule Activation

open access: yesAdvanced Functional Materials, EarlyView.
This review explores the application and mechanisms of atomic size misfit in catalysis for small molecule activation, focusing on how structural defects and electronic properties can effectively lower the energy barriers of chemical bonds in molecules like H2O, CO2, and N2.
Ping Hong   +3 more
wiley   +1 more source

Correction: Promises and perils of generative artificial intelligence: a narrative review informing its ethical and practical applications in clinical exercise physiology. [PDF]

open access: yesBMC Sports Sci Med Rehabil
Lederman O   +9 more
europepmc   +1 more source

Copper‐based Materials for Photo and Electrocatalytic Process: Advancing Renewable Energy and Environmental Applications

open access: yesAdvanced Functional Materials, EarlyView.
Cu‐based catalysts as a cornerstone in advancing sustainable energy technologies are fully reviewed in this manuscript, highlighting their potential in photo‐ and electrocatalysis. It includes metallic copper, copper oxides, copper sulfides, copper halide perovskites, copper‐based metal–organic frameworks (MOFs), and covalent organic frameworks (COFs),
Jéssica C. de Almeida   +16 more
wiley   +1 more source

Engineering a Single Amino Acid Bionanozyme for Ultrasensitive Detection of Biomarkers: A WHO‐REASSURE‐ Aligned Approach

open access: yesAdvanced Functional Materials, EarlyView.
A unique 2D bionanozyme, engineered from a single amino acid and copper ions, demonstrates peroxidase‐mimicking catalytic activity. This efficient and simple bionanozyme allows for ultrasensitive, equipment‐free visual detection of key biomarkers in both test and real samples, meeting the WHO‐REASSURE standards for practical diagnostic applications ...
Subrat Vishwakarma   +5 more
wiley   +1 more source

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