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Surface Properties

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Graphene oxide-doping improves the biocompatibility and separation performance of polyethersulfone hollow fiber membranes for bioartificial kidney application.

Journal of colloid and interface science
HYPOTHESIS: Graphene oxide (GO)-doping in polyethersulfone hollow fiber membranes (PES HFMs) improves the biocompatibility and separation performance for bioartificial kidney (BAK) application.

Evaluation of a peroxygen-based disinfectant for inactivation of porcine epidemic diarrhea virus at low temperatures on metal surfaces.

Veterinary microbiology
Porcine epidemic diarrhea virus (PEDV) spread rapidly across the United States in part due to contaminated livestock trailers. The objective of this study was to test a peroxygen-based disinfectant for the ability to inactivate PEDV on aluminum surfa...

Deep Learning of Atomically Resolved Scanning Transmission Electron Microscopy Images: Chemical Identification and Tracking Local Transformations.

ACS nano
Recent advances in scanning transmission electron and scanning probe microscopies have opened exciting opportunities in probing the materials structural parameters and various functional properties in real space with angstrom-level precision. This pr...

Hybrid response surface methodology-artificial neural network optimization of drying process of banana slices in a forced convective dryer.

Food science and technology international = Ciencia y tecnologia de los alimentos internacional
The aim of the study is to fit models for predicting surfaces using the response surface methodology and the artificial neural network to optimize for obtaining the maximum acceptability using desirability functions methodology in a hot air drying pr...

Aptamer based fluorometric β-lactoglobulin assay based on the use of magnetic nanoparticles and carbon dots.

Mikrochimica acta
The authors describe a fluorometric aptamer based assay for detecting β-lactoglobulin by using carbon dots (C-dots) as a signal indicator. The aptamer was immoblized on magnetite (FeO) nanoparticles (MNPs), and the C-dots served as a label for the co...

Light-Driven, Caterpillar-Inspired Miniature Inching Robot.

Macromolecular rapid communications
Liquid crystal elastomers are among the best candidates for artificial muscles, and the materials of choice when constructing microscale robotic systems. Recently, significant efforts are dedicated to designing stimuli-responsive actuators that can r...

Protein-Protein Interaction Interface Residue Pair Prediction Based on Deep Learning Architecture.

IEEE/ACM transactions on computational biology and bioinformatics
MOTIVATION: Proteins usually fulfill their biological functions by interacting with other proteins. Although some methods have been developed to predict the binding sites of a monomer protein, these are not sufficient for prediction of the interactio...

Development of an expert system for the simulation model for casting metal substructure of a metal-ceramic crown design.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVES: Nowadays, the integrated CAD/CAE systems are favored solutions for the design of simulation models for casting metal substructures of metal-ceramic crowns. The worldwide authors have used different approaches to solve the p...

Effect of roll compaction on granule size distribution of microcrystalline cellulose-mannitol mixtures: computational intelligence modeling and parametric analysis.

Drug design, development and therapy
Dry granulation using roll compaction is a typical unit operation for producing solid dosage forms in the pharmaceutical industry. Dry granulation is commonly used if the powder mixture is sensitive to heat and moisture and has poor flow properties. ...

Computational intelligence models to predict porosity of tablets using minimum features.

Drug design, development and therapy
The effects of different formulations and manufacturing process conditions on the physical properties of a solid dosage form are of importance to the pharmaceutical industry. It is vital to have in-depth understanding of the material properties and g...