Tunable Thermoshrinkable Hydrogels for 4D Fabrication of Cell‐Seeded Channels
A thermoresponsive polymer with methacrylate groups for photo‐cross‐linking, based on polyethylene glycol, N‐isopropylacrylamide, and 2‐hydroxyethyl acrylate is synthetized to yield hydrogels that shrink upon temperature increase. The new polymer enables the fabrication of cell‐laden perfusable channels with diameters below 200 µm by combining ...
Greta Di Marco+12 more
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Cyanobacterial mats and their associated microbiomes in saline and freshwater lakes from the Bolivian Altiplano. [PDF]
Hentschke GS+6 more
europepmc +1 more source
Clanges in the Oxygen Consumption of Kidney during Saline Diuresis
Yu Ting SHAH
openalex +2 more sources
Transient Stiffness Patterning in Hydrogels Driven by Dissipative Mechanochemical Coupling
Force‐induced disulfide bond rupture in a polymer‐based hydrogel, coupled with chemical or electrochemical reoxidation, leads to the transient modulation of the hydrogel's stiffness properties. High spatiotemporal control is achieved by this dissipative process, enabling the development of out‐of‐equilibrium stiffness patterns and transient, dose ...
Roberto Baretta+2 more
wiley +1 more source
Analysis of germination characteristics and metabolome of <i>Medicago ruthenica</i> in response to saline-alkali stress. [PDF]
Wei X+6 more
europepmc +1 more source
Matrix Tropism Influences Endometriotic Cell Attachment Patterns
The influence of substrate stiffness and multicellular coculture on endometriotic cell attachment to extracellular matrix‐laden microarrayed islands is reported. This model investigates early endometriotic cell attachment, aiming to capture “lesion initiation events”.
Hannah S. Theriault+7 more
wiley +1 more source
Effects of Angiotensin II Receptor 1 Inhibition by LCZ696 on the Acquisition and Relapse of Methamphetamine-Associated Contextual Memory. [PDF]
Li X+13 more
europepmc +1 more source
Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery
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