Results 191 to 200 of about 5,413 (299)
Magnetomechanical neuromodulation using magnetic nanodiscs enables remote activation of neurons. In a hemiparkinsonian mouse model, alternating magnetic fields actuate the nanodiscs to generate torque that opens mechanosensitive ion channels within the subthalamic nucleus, thereby modulating basal ganglia motor circuitry.
Anouk Wolters +12 more
wiley +1 more source
A pattern-growth approach for mining maximal fault-tolerant frequent itemsets. [PDF]
Bashir S.
europepmc +1 more source
Dynamic decellularized hydrogels are prepared using bovine decellularized small intestine submucosa (SIS) norbornene (dSIS‐NB). Bovine dSIS contained significant amounts of disulfide‐rich fibrillin‐I, enabling ‘self‐clickable’ thiol‐norbornene gelation and spatiotemporal tuning of hydrogel physicochemical properties.
Van Thuy Duong +4 more
wiley +1 more source
An optimized ensemble framework for machinery fault detection in IoT environments. [PDF]
Devi Gayadri SV +3 more
europepmc +1 more source
TAX2‐NPs capture extracellular TSP‐1 in the injured liver and promote its macrophage‐mediated autophagic degradation. This process blocks TSP‐1/CD47 signaling, restores VEGFR2‐AKT activity, preserves endothelial function, and mitigates hepatic ischemia‐reperfusion injury.
Haorui Wang +12 more
wiley +1 more source
A novel algorithm for model uncertainty reduction in trapezoidal fuzzy fault tree risk assessment. [PDF]
Zhang Y, Zhao L, Zhang T, Li W.
europepmc +1 more source
ABSTRACT The multifunctional integration of chips with high flexibility and scalable manufacturing is crucial for enhancing chip performance, reducing chip size, and simplifying chip design. However, balancing volume, cost, flexibility, and functionality using traditional heterogeneous integration methods is challenging.
Lang Chen +7 more
wiley +1 more source
Revolutionizing nanosatellites' data integrity with SEEnet: A real-time ensemble learning approach for Single-Event Effect (SEE) prediction. [PDF]
Karim S +5 more
europepmc +1 more source
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang +2 more
wiley +1 more source
Emergency Operation Scheme Generation for Urban Rail Transit Train Door Systems Using Retrieval-Augmented Large Language Models. [PDF]
Huang L, Liu Z, Yu C, Zhu T, Yan B.
europepmc +1 more source

