Results 61 to 70 of about 24,699 (216)

Machine‐Learning Microfluidic Minute‐Scale Microorganism Metrics Monitoring(M6)

open access: yesAdvanced Science, EarlyView.
ABSTRACT On‐site monitoring of microorganisms remains challenging because of low concentrations, strong background interference, and dynamic aerosol diffusion, particularly for aerosol‐transmitted pathogens. Here, we report a rapid detection platform that integrates a Puri‐focusing microfluidic chip, electrochemical impedance spectroscopy (EIS), and ...
Ning Yang   +14 more
wiley   +1 more source

A variant-dependent molecular clock with anomalous diffusion models SARS-CoV-2 evolution in humans. [PDF]

open access: yesProc Natl Acad Sci U S A, 2023
Goiriz L   +4 more
europepmc   +1 more source

Biolipid Film‐Fused Electrochemiluminescence for Multipurpose In Situ Bioassays

open access: yesAdvanced Science, EarlyView.
An ECL‐emissive, membrane‐interactive scaffold was fabricated, and facilely fused with natural and non‐native phospholipids into multifactorial mimicries of cytomembranes and vesicles for in vitro representative membrane‐process probing. Such a biointerface‐based, state‐sensitive ECL paradigm not only pinpointed proximal phenomena, including channeling
Jialiang Chen   +9 more
wiley   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu   +8 more
wiley   +1 more source

Anomalous diffusion and asymmetric tempering memory in neutrophil chemotaxis. [PDF]

open access: yesPLoS Comput Biol, 2022
Dieterich P   +7 more
europepmc   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

open access: yesAdvanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin   +12 more
wiley   +1 more source

Objective comparison of methods to decode anomalous diffusion. [PDF]

open access: yesNat Commun, 2021
Muñoz-Gil G   +33 more
europepmc   +1 more source

Multidimensional and Multifunctional Laser‐Induced Graphene (LIG) for Point‐of‐Care and Wearable Biosensing, Theranostics, and Bioactive Interfaces Toward Personalized Healthcare and Regenerative Medicine

open access: yesAdvanced Science, EarlyView.
Multidimensional laser‐induced graphene (LIG) spanning from 0D to 3D architectures is comprehensively reviewed for multifunctional biomedical platforms, including biosensing, theranostics, and bioactive interface applications, which highlights its potentials for point‐of‐care diagnostics, wearable health monitoring, smart drug delivery, and tissue ...
Li Zhang   +3 more
wiley   +1 more source

Anomalous Diffusion by Fractal Homogenization

open access: yesAnnals of PDE
For every $α< \frac13$, we construct an explicit divergence-free vector field $\mathbf{b}(t,x)$ which is periodic in space and time and belongs to $C^0_t C^α_x \cap C^α_t C^0_x$ such that the corresponding scalar advection-diffusion equation $$\partial_t θ^κ+ \mathbf{b} \cdot \nabla θ^κ- κΔθ^κ= 0$$ exhibits anomalous dissipation of scalar variance ...
Armstrong, Scott, Vicol, Vlad
openaire   +4 more sources

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