Results 91 to 100 of about 2,252,762 (303)
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei +9 more
wiley +1 more source
Stability of Medicinal Nanoemulsions to Spaceflight: Insights From the StarMed Experiment
Chitosan‐coated melatonin nanoemulsions (MN) recovered from a sounding rocket mission preserve droplet size and controlled‐release behavior, whereas uncoated nanoemulsions show ageing‐driven droplet growth and increased accessible drug fraction. Simple polymer coatings thus enhance the flight resilience of liquid space medicines under cumulative launch
Modupe Adebowale +4 more
wiley +1 more source
Mitochondria‐targeted nanotherapies emerge as a promising strategy for combating aging‐associated neurodegenerative disorders (NDs) by restoring mitochondrial function, reducing oxidative stress, and improving neuronal survival. Recent advances in nanotechnology, therapeutic delivery, and translational research are highlighted, providing insights into ...
Dnyandev G. Gadhave +8 more
wiley +1 more source
Jet quenching of the heavy quarks in the quark-gluon plasma and the nonadditive statistics
Using the Plastino-Plastino (PP) equation, we calculate transport coefficients of the heavy-quarks traversing inside the quark-gluon plasma, and generalize their relationship with differential energy loss. The PP equation indicates anomalous diffusion of
Trambak Bhattacharyya +2 more
doaj +1 more source
Advances in cell sources, bioengineering, and manufacturing are reshaping the design of skin substitutes. This review highlights emerging strategies driving skin tissue engineering and discusses their potential to enable safer, reproducible, and clinically accessible skin substitutes for regenerative medicine.
Gilles Lemaître +7 more
wiley +1 more source
Mamba-Enhanced Background Suppression Diffusion Model for Hyperspectral Anomaly Detection
Hyperspectral anomaly detection (HAD) faces a significant challenge in separating scarce, small and subtle anomalous targets from complex backgrounds.
Dan Sun, Shengwei Zhong, Chen Gong
doaj +1 more source
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source
Kelvin Probe Force Microscopy in Bionanotechnology: Current Advances and Future Perspectives
Kelvin probe force microscopy (KPFM) enables the nanoscale mapping of electrostatic surface potentials. While widely applied in materials science, its use in biological systems remains emerging. This review presents recent advances in KPFM applied to biological samples and provides a critical perspective on current limitations and future directions for
Ehsan Rahimi +4 more
wiley +1 more source
Jamming anomaly in -symmetric systems
The Schrödinger equation with a ${ \mathcal P }{ \mathcal T }$ -symmetric potential is used to model an optical structure consisting of an element with gain coupled to an element with loss. At low gain–loss amplitudes γ , raising the amplitude results in
I V Barashenkov +2 more
doaj +1 more source
Robust Internet of Things Multidimensional Time Series Data Prediction Method [PDF]
In Internet of Things (IoT) scenarios, data are susceptible to noise during collection and transmission, resulting in outliers and missing data. Existing temporal regularized matrix factorization models typically consider the squared loss as a measure of
SHEN Chen, HE Yong, PENG Anlang
doaj +1 more source

