Results 241 to 250 of about 369,767 (318)

Cold Plasma Generates a Localized Inflammatory Response and Promotes Muscle Repair

open access: yesAdvanced Therapeutics, EarlyView.
The immediate tissue response to plasma is a pro‐inflammatory response which is characterized by collagen clumping, innate immune cell infiltration, enhanced metabolic processes, and decreased apoptosis. The long‐term tissue response (4‐ and 14‐days) to plasma treatment is characterized by a decreased inflammatory response, decreased adipogenesis, and ...
Carly J. Smith   +9 more
wiley   +1 more source

Polymer dynamics of Alp7A reveals how two critical concentrations govern assembly of dynamically unstable actin-like proteins. [PDF]

open access: yesMol Biol Cell
Petek-Seoane NA   +7 more
europepmc   +1 more source

Emerging Therapeutic Strategies for Hearing Loss

open access: yesAdvanced Therapeutics, EarlyView.
Challenges still exist in treating hearing loss in cases of severe damage to hair cells or spiral ganglion neurons. Here, a schematic diagram of cochlear sensory hair cells and auditory nerves is presented. It is found that in normal Corti organs, hair cells have upright stereocilia at the top and auditory neurons at the base. Ototoxic drugs, noise, or
Shanying Han   +9 more
wiley   +1 more source

Heat-stable protein PGSL1 enhances pollen germination and tube growth at high temperature. [PDF]

open access: yesNat Commun
Qian D   +10 more
europepmc   +1 more source

Accurate and Efficient Behavioral Modeling of GaN HEMTs Using An Optimized Light Gradient Boosting Machine

open access: yesAdvanced Theory and Simulations, EarlyView.
Machine Learning (ML) and optimization have permeated almost every aspect of engineering applications. Recent years have seen great traction toward ML‐based GaN HEMT modelling. However, ML‐based GaN HEMT models are mostly developed using variants of Artificial Neural Network (ANN).
Saddam Husain   +2 more
wiley   +1 more source

Predicting Fiber Length Characteristics of Recycled Cotton and Cellulose Fiber Blends Using Machine Learning Models

open access: yesAdvanced Theory and Simulations, EarlyView.
This study explores machine learning‐driven prediction of fiber length characteristics in sustainable yarn blends made from recycled cotton and Lyocell. By analyzing empirical data through models like Random Forest and Gradient Boosting, and interpreting results with SHAP, key fiber length features from the Staple Diagram and Fibrogram are identified ...
Tuser Tirtha Biswas   +2 more
wiley   +1 more source

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