Results 101 to 110 of about 7,150,509 (282)
Sleep disruption, use of sleep-promoting medication and circadian desynchronization in spaceflight crewmembers: Evidence in low-Earth orbit and concerns for future deep-space exploration missions. [PDF]
Albornoz-Miranda M, Parrao D, Taverne M.
europepmc +1 more source
In a murine model of myocardial ischemia and reperfusion (MI/R), the CD36 azapeptide ligand MPE‐298 reduces cardiac injury and transiently lowers left ventricular long‐chain fatty acids (LCFAs) accumulation 3 h after reperfusion, accompanied by a decrease of oxidative stress and inflammation‐associated genes' expression in the heart and adipose tissue.
Jade Gauvin +12 more
wiley +1 more source
Using the data from the Magnetospheric Multiscale (MMS) mission, we studied the energy conversion between electromagnetic fields and particles (ions and electrons) in a spacecraft rest frame inside a turbulent magnetosheath downstream of the quasi ...
Xinmin Li +4 more
doaj +1 more source
Fundamental Biological Features of Spaceflight: Advancing the Field to Enable Deep-Space Exploration. [PDF]
Afshinnekoo E +37 more
europepmc +1 more source
UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová +2 more
wiley +1 more source
Two-dimensional particle-in-cell simulations are performed to study the coupling between ion and electron motions in collisionless magnetic reconnection. The electron diffusion region (EDR), where the electron motions are demagnetized, is found to have a
Cong Chang +4 more
doaj +1 more source
A High-Accuracy, High Anti-Noise, Unbiased Frequency Estimator Based on Three CZT Coefficients for Deep Space Exploration Mission. [PDF]
Lu W, Chen L, Wang Z, Cao J, Ren T.
europepmc +1 more source
Exploring the Fractal Space of Sparse Deep Neural Network
Sparse deep neural networks (DNNs) are preferable in many real-world applications, especially edge computing. How to find the sparse structure of deep neural networks so that the model can achieve better performance is an important research topic. Under the same sparsity level, the connection patterns of DNNs significantly affect their performance.
Hang Xu +5 more
openaire +3 more sources
Directed evolution of enzymes at the crossroads of tradition and innovation
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
Seismic visibility of carbonated subducted oceanic crust in the lower mantle
Seismological studies have previously detected abundant scatterers in the lower mantle, potentially linked to long-term slab subduction, and petrology studies suggest carbonates can be sequestrated within the oceanic crust and transported into the lower ...
Yajie Zhao +4 more
doaj +1 more source

