Results 171 to 180 of about 3,996,815 (308)
Department of Applied Mathematics and Statistics newsletter, January 22, 2024 [PDF]
Newsletter of the Department of Applied Mathematics and Statistics at Colorado School of ...
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Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi +7 more
wiley +1 more source
Stop comparing spells: a defense of mechanistic reasoning in quantitative medicine. [PDF]
Mangalam M, Kiyono K.
europepmc +1 more source
A metasurface‐enabled helical wavefront fingerprint (MHWF) paradigm is proposed for quantitative and specific retrieval of a liquid medium's refractive index and extinction coefficient. The liquid's complex dielectric response governs the wavefront evolution of the metasurface‐generated focused vortex beam, forming a distinctive three‐dimensional ...
Yuting Zhou +10 more
wiley +1 more source
Family educational pressure, mathematics anxiety, and psychosomatic symptoms: evidence from selected Chinese jurisdictions. [PDF]
Li N, Gao L.
europepmc +1 more source
Department of Applied Mathematics and Statistics Newsletter, February 2, 2026
Newsletter of the Department of Applied Mathematics and Statistics at Colorado School of ...
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Programmable Paracrine‐Mimetic Microneedle System for Temporal Regulation of Cardiac Repair
Temporal signaling is encoded into a programmable paracrine‐mimetic microneedle patch via tris(2,2'‐bipyridyl)dichlororuthenium(II) hexahydrate/sodium persulfate‐tuned hydrogel microparticles that deliver TGF‐β, IGF‐1, and VEGF over phase‐matched 7‐, 14‐, and 28‐day windows.
Yichen Dai +18 more
wiley +1 more source
Topologically-based parameter inference for agent-based model selection from spatiotemporal cellular data. [PDF]
Wenzel AR +5 more
europepmc +1 more source
Department of Applied Mathematics and Statistics newsletter, September 16, 2024 [PDF]
Newsletter of the Department of Applied Mathematics and Statistics at Colorado School of ...
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Neuromorphic Devices and Computing for Sensing, Memory, and Control
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu +2 more
wiley +1 more source

