Results 151 to 160 of about 314 (230)
In this study, a highly robust N‐glycoproteomics (HRN) platform with a newly developed match‐between‐run scheme is used for biomarker discovery. This study proposes a protein‐centric strategy to prioritize proteins susceptible to aberrant glycosylation.
Lei Liu +15 more
wiley +1 more source
This study employs sc‐RNA sequencing, genetics, and phenotyping to systematically map the cell‐type‐specific immune responses triggered by flg22. It reveals FLS2‐dependent transcriptional reprogramming in epidermal and mesophyll cells, and uncovers crosstalk between immune and hypoxia signaling pathways.
Yaping Zhou +17 more
wiley +1 more source
A matrix application on absolute weighted arithmetic mean summability factors of infinite series [PDF]
Şebnem Yıldız
openalex +1 more source
Geometry and connectivity are complementary structures, which have demonstrated their ability to represent the brain's functional activity. This study evaluates geometric and connectome eigenmodes as biologically informed constraints for EEG source localization.
Pok Him Siu +6 more
wiley +1 more source
This study reveals that maternal antibiotic exposure prior to conception disrupts intergenerational gut microbial succession. By enhancing maternal‐offspring microbial transmission, altering microbial developmental trajectories and increasing selective pressures during community assembly, these disturbances lead to persistent gut mucosal immaturity and
Yuzhu Chen +8 more
wiley +1 more source
The device exhibits excellent ferroelectric performance and significant photoelectric response. It can adapt to light stimuli of varying power and wavelengths while achieving a stable and tunable photovoltaic response state. Moreover, the device can utilize photoconductive states of different directions and magnitudes to achieve pattern classification ...
Zhen Zhao +21 more
wiley +1 more source
Spaces of Series Summable by Absolute Cesàro and Matrix Operators
Mehmet Ali Sarıgöl
openalex +1 more source
Linearizing and Forecasting: A Reservoir Computing Route to Digital Twins of the Brain
A new approach uses simple neural networks to create digital twins of brain activity, capturing how different patterns unfold over time. The method generates and recovers key dynamics even from noisy data. When applied to fMRI, it predicts brain signals and reveals distinctive activity patterns across regions and individuals, opening possibilities for ...
Gabriele Di Antonio +3 more
wiley +1 more source

