The Research on a Collaborative Management Model for Multi-Source Heterogeneous Data Based on OPC Communication. [PDF]
Tian J +6 more
europepmc +1 more source
NIR/VIS Dual‐Comb Spectroscopy Comparing High and Low Repetition Rate Regimes
This work compares dual‐comb spectroscopy at lower and higher repetition rates, emphasizing the inherent trade‐off between spectral and temporal resolution. The 80 MHz system provides high‐resolution spectra suitable for analyzing complex molecular structures, whereas the free‐running 1 GHz platform enables fast measurements for real‐time trace gas ...
Alexander Eber +6 more
wiley +1 more source
Does music support executive functions and affective responses during acute exercise? A systematic review and meta-analysis. [PDF]
Danso A +14 more
europepmc +1 more source
Asynchronous motor fault diagnosis method based on BiLSTM network
C. C. Liu, Aiming Zhao
openalex +1 more source
ABSTRACT Introduction A key barrier to translating evidence into practice is the paucity of learning health system (LHS) researchers elucidating and addressing barriers to implementation and maintenance. Methods In response to the growing need for a workforce dedicated to translating evidence into practice, we developed the Southern California ...
Amytis Towfighi +4 more
wiley +1 more source
Exploring the role of rhythmic music and embodied interaction in interpersonal synchrony and prosocial behaviors in children: The Moving Mandala mixed reality experience. [PDF]
Gali O +5 more
europepmc +1 more source
This study compares the stretching structural evolution of two iPPs with distinct isotacticities. Deformation from spherulite to fibrillar crystal induces rapid thickening of lamellae (Lc), reduction in amorphous thickness (La), and transverse dimension (Lh).
Cheng Yao +4 more
wiley +1 more source
Paired Stimulation of Different Digits for 30 min Does Not Produce Long-Term Plastic Changes in the Human Cutaneomuscular Reflex. [PDF]
Germann M, Nabila E, Baker SN.
europepmc +1 more source
TopoMAS: Large Language Model Driven Topological Materials Multi‐Agent System
TopoMAS is an interactive multi‐agent framework that revolutionizes topological materials discovery through human–AI collaborative intelligence. The system integrates natural language processing, knowledge retrieval from literature and databases, crystal structure generation, and automated first‐principles calculations within a unified workflow.
Baohua Zhang +5 more
wiley +1 more source

