AIMC Topic: Particle Size

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Machine learning assembly landscapes from particle tracking data.

Soft matter
Bottom-up self-assembly offers a powerful route for the fabrication of novel structural and functional materials. Rational engineering of self-assembling systems requires understanding of the accessible aggregation states and the structural assembly ...

[Preparation of Baicalein Liposome-Lyophilized Powder and Its Pharmacokinetics Study].

Zhong yao cai = Zhongyaocai = Journal of Chinese medicinal materials
OBJECTIVE: To prepare baicalein liposome-lyophilized powder, and to investigate the particle size distribution, encapsulation efficiency, stability, in vitro release and in vivo pharmacokirietics in rats. METHODs: Baicalein liposome was prepared by t...

Improving artificial neural network model predictions of daily average PM10 concentrations by applying principle component analysis and implementing seasonal models.

Journal of the Air & Waste Management Association (1995)
UNLABELLED: This study introduces a seasonal modeling approach in the prediction of daily average PM10 (particulate matter with an aerodynamic diameter<10 μm) levels 1 day ahead based on multilayer perceptron artificial neural network (MLP-ANN) forec...

Focus-independent particle size measurement from streak images: a comparison of multivariate methods.

The Analyst
Our laboratories have recently developed a flow-through imaging photometer to characterize and classify fluorescent particles between 3 and 47 μm in size. The wide aperture of the objective lens (0.7 NA) required for measuring spectral fluorescence o...

A self-powered kinesin-microtubule system for smart cargo delivery.

Nanoscale
A smart self-powered cargo delivery system that is composed of creatine phosphate kinase (CPK) microspheres, kinesins and microtubules is demonstrated. The CPK microsphere not only acts as an ATP generation and buffering system, but also as a carrier...