Results 121 to 130 of about 999 (266)
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Liu et al. define a systems‐level interactome of fibroadipogenic progenitor (FAP)‐mediated signaling in skeletal muscle by integrating single‐cell transcriptomics with FAP depletion‐based perturbation analysis. Functional interrogation using a conditioned media bioassay links predicted signaling to multicellular outcomes, establishing a framework to ...
Xingyu Liu +13 more
wiley +1 more source
Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences
This study presents DeepMutDTA, a deep learning framework aimed at predicting mutation‐induced changes in protein‐drug interactions and prioritizing variants potentially linked to drug resistance. Trained on large‐scale data, it incorporates SimSiam‐MuTF, a label‐aware contrastive fine‐tuning strategy that encourages separation between WT and MT ...
Xiaowen Hu +7 more
wiley +1 more source
Theorem 2: Let G be a 3-connected graph with minimum degree at least d and with at least 2d-1 vertices. Then for any 3 distinct vertices x, y, z there is a path from x to z through y and having length at least 2d-2. Furthermore, suppose that G has at least 2d vertices, that no set of exactly d vertices meets every edge and that for every vertex \(v\neq
openaire +2 more sources
This study investigates how the internal structure of fiber‐reinforced ceramic composites affects their resistance to damage. By combining 3D X‐ray imaging with acoustic emission monitoring during mechanical testing, it reveals how silicon distribution influences crack formation.
Yang Chen +7 more
wiley +1 more source
CD4+ Tregs Drive Post‐Ischemic Sprouting Angiogenesis via Endothelial YY1/MAML1 Reactivation
ABSTRACT Microvascular complications of diabetes are chronic diseases of small vessels. We previously found that CD4+ regulatory T‐cells (Tregs) are markedly reduced in type 2 diabetes (T2D) after ischemic injury in both mice and humans, and that Treg deficiency in immunodeficient mice impairs vascular regeneration.
Hang Qu +10 more
wiley +1 more source
FGF13 is upregulated in DRG neurons of PIPNP model mice. DRG neuron‐specific knockout of FGF13 ameliorates PIPNP symptoms. Mechanistically, FGF13 potentiates microtubule detyrosination by promoting VASH1 binding to microtubules. FGF13 knockout suppresses VASH1‐mediated microtubule detyrosination and promotes α‐tubulin tyrosination.
Yiming Dong +10 more
wiley +1 more source
A biotin‐modified artificial insertion peptide functionalized three‐dimensional high‐curvature‐TiO2 nano‐interface was engineered in a microfluidic chip to improve the isolation efficiency of small extracellular vesicles (sEVs). This chip balanced affinity, releasability, and extendibility, enabling high‐throughput recovery of sEVs for downstream ...
Le Wang +7 more
wiley +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
On Zagreb coindices and Mostar index of [Formula: see text] nanotubes. [PDF]
Imran M +4 more
europepmc +1 more source

