Results 111 to 120 of about 645,257 (264)
Energy Transport in Dichroic Metallo-organic Crystals: Selective Inclusion of Spatially Resolved Arrays of Donor and Acceptor Dyes in Different Nanochannels. [PDF]
Wen Q +7 more
europepmc +1 more source
We analyzed alterations of PAR metabolism‐related proteins in PARG inhibitor‐resistant HCT116RPDD cells. Although PARG levels remained unchanged, HCT116RPDD cells exhibited reduced PARP1 and ARH3 expression and elevated PAR levels. Interestingly, HCT116RPDD cells exhibited slightly elevated intracellular NAD+/NADH and ATP levels. Our findings suggest a
Kaede Tsuda, Yoko Ogino, Akira Sato
wiley +1 more source
Dipole pattern of meridional atmospheric internal energy transport across the Arctic gate. [PDF]
Latonin MM +3 more
europepmc +1 more source
Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley +1 more source
Ultra slow acoustic energy transport in dense fish aggregates. [PDF]
Tallon B +5 more
europepmc +1 more source
The role of lipid metabolism in neuronal senescence
Disrupted lipid metabolism, through alterations in lipid species or lipid droplet accumulation, can drive neuronal senescence. However, lipid dyshomeostasis can also occur alongside neuronal senescence, further amplifying tissue damage. Delineating how lipid‐induced senescence emerges in neurons and glial cells, and how it contributes to ageing and ...
Dikaia Tsagkari +2 more
wiley +1 more source
Demonstration of reduced neoclassical energy transport in Wendelstein 7-X. [PDF]
Beidler CD +39 more
europepmc +1 more source
This review provides an overview of bio‐based polymer sources, their unique functional properties and their environmental impact, and addresses their role as sustainable alternatives. It discusses end‐of‐life options, including composting and anaerobic digestion for renewable energy.
Sabina Kolbl Repinc +8 more
wiley +1 more source
Machine learning (ML) is widely used to explore crystal materials and predict their properties. However, the training is time-consuming for deep-learning models, and the regression process is a black box that is hard to interpret. Also, the preprocess to
Xinyu Jiang +4 more
doaj +1 more source

