Results 81 to 90 of about 20,145 (265)

Targeting the GPX4–FUNDC1 Interaction with Magnesium Lithospermate B Attenuates Sepsis‐Associated Lung Injury

Advanced Science, EarlyView.
The diagram depicts the endothelial‐protective mechanism of magnesium lithospermate B (MLB) in sepsis‐associated lung injury. MLB binds GPX4 at Gly79, disrupts its interaction with FUNDC1, prevents mitophagy‐mediated GPX4 degradation, restores mitophagic flux, reduces ROS, and limits ferroptosis.
Zhixi Li, Chang Liu, Zhaoxue Ma, Dongyou Zheng, Renkai Wang, Yongjing Yu, Guangmin Chen, Chenglong Li, Yue Bu, Hang Cao, Bing Zhang   +10 more
wiley   +1 more source

Mutual effects of thermal radiations and thermal stratification on tangent hyperbolic fluid flow yields by both cylindrical and flat surfaces

Case Studies in Thermal Engineering, 2017
The characteristics of tangent hyperbolic fluid flow in the presence of both thermal radiation and thermal stratification effects are not discussed until now especially by way of an inclined cylindrical surface.
Khalil Ur Rehman, Aneeqa Ashfaq Malik, M.Y. Malik, Noor Ul Saba   +3 more
doaj   +1 more source

Author Correction: MHD mixed convective stagnation point flow of nanofluid past a permeable stretching sheet with nanoparticles aggregation and thermal stratification. [PDF]

Sci Rep, 2022
Mahmood Z, Alhazmi SE, Alhowaity A, Marzouki R, Al-Ansari N, Khan U.   +5 more
europepmc   +1 more source

Coupled Above‐ and Belowground Ecosystem Stability Worldwide

Advanced Science, EarlyView.
Are the worlds above and below our feet in sync? This global exploration reveals an entangled fate between above‐ and belowground ecosystem stability. It identifies arid regions as hotspots for this coupling and highlights temperature stability as a vital safeguard for maintaining ecosystem balance across our warming planet.
Zexin Meng, Huiwen Li, Yiping Wu, Peter B. Reich, Nico Eisenhauer, Diego Abalos, Daniel Revillini, Shuguang Liu, Wende Yan, Ji Chen, Alexey Voinov, Zhifeng Yang, Ying‐Ping Wang, Fubo Zhao, Linjing Qiu, Jingfeng Xiao, Shantao An, Guopeng Liang, Manuel Delgado‐Baquerizo   +18 more
wiley   +1 more source

Sensitivity Analysis About Transient Three-Dimensional IHCP With Multi-Parameters in an Elbow Pipe With Thermal Stratification

IEEE Access, 2019
Pipelines with thermal stratification are common in nuclear power plants, and the thermal stratification may induce thermal fatigue and lead to leakage, so thermal stratification analysis of the pipeline is particularly significant.
Wenwen Han, Tao Lu, Hongbo Chen
doaj   +1 more source

Assessing the use of portable air cleaners for reducing exposure to airborne diseases in a conference room with thermal stratification. [PDF]

Build Environ, 2022
Castellini JE, Faulkner CA, Zuo W, Lorenzetti DM, Sohn MD.   +4 more
europepmc   +1 more source

Underfloor air distribution: thermal stratification

, 2002
More than 130 underfloor air distribution (UFAD) systems are installed in North America today, and that number is growing. In comparison to classical displacement ventilation (DV) systems that deliver air at low velocities, typical UFAD systems deliver air through floor diffusers with higher supply air velocities.
Webster, T., Bauman, Fred, Reese, J.
openaire   +1 more source

AI‐Enhanced Vibrational Capsule for Minimally Invasive Detection of Abnormal Bowel Tissue

Advanced Science, EarlyView.
A fully integrated vibration‐assisted capsule is presented for the minimally invasive detection of bowel lesions. The capsule incorporates a wireless sensor and an eccentric motor to probe tissue mechanics in situ. By coupling triaxial vibration signals with AI‐based classification and analytical modeling, the system enables early, non‐visual ...
Xizheng Fang, Yao Yan, Kenneth Omokhagbo Afebu, Andrew Bickerdike, Bo Tian, Yang Liu, Shyam Prasad   +6 more
wiley   +1 more source

Neural Network Model Using Levenberg Marquardt Backpropagation Algorithm for the Prandtl Fluid Flow Over Stratified Curved Sheet

IEEE Access
Artificial intelligence has proliferated across numerous fields of study as a result of its rapid and accurate response times. Its application in fluid dynamics for optimization and computational training of numerical outcomes has been remarkably ...
Pradeep Kumar, Felicita Almeida, B. Nagaraja, A. R. Ajaykumar, Qasem Al-Mdallal   +4 more
doaj   +1 more source

Machine Learning‐Enhanced Analysis of Exosomal Surface Sialic Acid Using Surface‐Enhanced Raman Spectroscopy for Ovarian Cancer Diagnosis and Therapeutic Monitoring

Advanced Science, EarlyView.
Machine learning‐assisted surface‐enhanced Raman spectroscopy analysis of exosomal sialic acid for ovarian cancer diagnosis, as well as independent monitoring of exosomal sialic acid expression levels across different treatment periods, reveals a potential correlation with treatment response.
Lili Cong, Jiaqi Wang, Sijun Huang, Xiaxia Man, Yi Guo, Shuping Xu, Songling Zhang   +6 more
wiley   +1 more source