Results 221 to 230 of about 791,497 (327)
This study harnesses hydrodynamic flows to generate, confine and stimulate stem cell spheroids, enabling the large‐scale production of extracellular vesicles (EVs). This innovative method not only streamlines spheroid formation and subsequent EV release in a single, integrated process, but also ensures the generation of EVs with enhanced biological ...
Solène Lenoir +7 more
wiley +1 more source
Cross-Modality Alignment Perception and Multi-Head Self-Attention Mechanism for Vision-Language-Action of Humanoid Robot. [PDF]
Ren B, Shi D.
europepmc +1 more source
Elemene increases SPP expression by competitively binding with miR‐130a‐5p to suppress SPP mRNA degradation. This led to more antigen/MHC‐I complexes being expressed on the cell surface, which consequently facilitated the recognition and killing of HCC cells by CTLs and enhancing the antitumor immune efficacy of anti‐PD‐1.
Menglan Wang +18 more
wiley +1 more source
Mixed convolutional classification method for hyperspectral images based on spatial spectrum orthogonal constraints and bidirectional attention mechanism. [PDF]
Wu T, Tan Y.
europepmc +1 more source
Identifying disease‐causing genes in neurocognitive disorders remains challenging due to variants of uncertain significance. CLinNET employs dual‐branch neural networks integrating Reactome pathways and Gene Ontology terms to provide pathway‐level interpretability of genomic alterations.
Ivan Bakhshayeshi +5 more
wiley +1 more source
RNACOREX - RNA coregulatory network explorer and classifier. [PDF]
Oviedo-Madrid A +2 more
europepmc +1 more source
By integrating a convergent molecular platform strategy, this study designed a novel dual‐target C5 to combat multidrug‐resistant Gram‐negative bacteria. C5 synergistically enhances antibiotic efficacy by inhibiting efflux pumps and increasing bacterial membrane permeability.
Jiale Dong +11 more
wiley +1 more source
BLMPred: Predicting linear B-cell epitopes using pre-trained protein language models and machine learning. [PDF]
Das B, Frishman D.
europepmc +1 more source
This study introduces DualPG‐DTA, a framework integrating two pre‐trained models to generate molecular and protein representations. It constructs dual graphs processed by specialized neural networks with dynamic attention for feature fusion, achieving superior benchmark performance.
Yihao Chen +7 more
wiley +1 more source
(Finite-Time) Thermodynamics, Hyperbolicity, Lorentz Invariance: Study of an Example. [PDF]
Guy B.
europepmc +1 more source

