Results 221 to 230 of about 1,346,123 (313)

Fecal Microbiota Transplantation Modulates Th17/Treg Balance via JAK/STAT Pathway in ARDS Rats

open access: yesAdvanced Biology, EarlyView.
Fecal microbiota transplantation (FMT) alleviates lung and intestinal injury in lipopolysaccharide (LPS)‐induced acute respiratory distress syndrome (ARDS) in rats. This study demonstrates that FMT restores the balance between Th17 and Treg cells, inhibits the JAK/STAT pathway, and modulates cytokine levels, reducing inflammation and lung damage. These
Dongwei Zhang   +8 more
wiley   +1 more source

City-Defined Neighborhood Boundaries in the United States. [PDF]

open access: yesSci Data
Ansolabehere S   +5 more
europepmc   +1 more source

Microphysiological Glomerular Filtration Barriers: Current Insights, Innovations, and Future Applications

open access: yesAdvanced Biology, EarlyView.
The glomerular filtration barrier (GFB) is the first step of blood filtration by the kidneys. The concerning increase of kidney diseases makes the development of new models essential. In this context, microphysiological glomerular filtration barriers focus on closely reproducing the physiological architecture of the in vivo GFB: podocytes, glomerular ...
Manon Miran   +5 more
wiley   +1 more source

Impact of Iron Contamination on Liquid Properties and Microstructural Evolution in AlSi20

open access: yesAdvanced Engineering Materials, EarlyView.
Recycled aluminum is much more energy conservative and sustainable than primary aluminum. However, the iron contamination in secondary aluminum is vastly responsible for the degradation of the material properties. Herein, it is aimed to evaluate the influence of iron contamination in hypereutectic Al–Si alloy through thermodynamic as well as ...
Layla Shams Tisha   +2 more
wiley   +1 more source

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

open access: yesAdvanced Engineering Materials, EarlyView.
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi   +4 more
wiley   +1 more source

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