Results 201 to 210 of about 395,934 (297)

RRP9 Promotes Esophageal Squamous Cell Carcinoma Progression through E2F1 Transcriptional Regulation of CDK1

open access: yesAdvanced Biology, EarlyView.
The study reveals that RRP9 is abnormally highly expressed in ESCC tissues and is closely associated with poor prognosis in patients. Furthermore, it is found that RRP9 promotes ESCC progression through enhancing the E2F1‐mediated transcriptional regulation of CDK1.
Gang He   +14 more
wiley   +1 more source

Illuminating New Frontiers: Exploring the Photosensitizing Potential of Passiflora Species in Combating Methicillin‐Resistant Staphylococcus aureus (MRSA) and Their Infection in Senescent Mice

open access: yesAdvanced Biology, EarlyView.
This study investigates the photosensitizing potential of Passiflora cincinnata in Antimicrobial Photodynamic Therapy (aPDT) against skin infection caused by Methicillin‐resistant Staphylococcus aureus (MRSA) in a senescent murine model. The P. cincinnata exhibits antimicrobial activity, with reduced bacterial load, lower leukocyte infiltration, and ...
Caroline Vieira Gonçalves   +14 more
wiley   +1 more source

Positron Beam Loading and Acceleration in the Blowout Regime of a Plasma Wakefield Accelerator. [PDF]

open access: yesResearch (Wash D C)
Zhou S   +8 more
europepmc   +1 more source

Hydrogel‐Based Capacitive Sensor Model for Ammonium Monitoring in Aquaculture

open access: yesAdvanced Engineering Materials, EarlyView.
Traditional techniques for monitoring aquaculture water quality, particularly ammonium levels, harm fish. This work presents a novel capacitive sensor with an ionic hydrogel transducer to monitor ammonium concentration in real time based on the ammonium‐induced hydrogel dissociation and osmotic pressure. Monitoring aquaculture water quality, especially
Mohammad Mirzaee   +3 more
wiley   +1 more source

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

open access: yesAdvanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani   +2 more
wiley   +1 more source

Micro-Vibrations Analysis in LEO CubeSats Using MEMS Accelerometers. [PDF]

open access: yesSensors (Basel)
Gyányi S   +5 more
europepmc   +1 more source

Comparative Wear and Friction Analysis of Sliding Surface Materials for Hydrostatic Bearing under Oil Supply Failure Conditions

open access: yesAdvanced Engineering Materials, EarlyView.
Hydrostatic bearings excel in high‐precision applications, but their performance hinges on a continuous external supply. This study evaluates various material combinations for sliding surfaces to mitigate damage during supply failures or misalignment and to discover the most effective materials identified for enhancing the reliability and efficiency of
Michal Michalec   +6 more
wiley   +1 more source

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