A kognitív készségek rendszere és fejlődése

Additional file 7: Figure S1. The KEGG pathways separately enriched with hypermethylated (a) and hypomethylated (b) genes in at least 10% of the 539 TCGA lung adenocarcinoma samples

Quantifying the pathway and predicting spontaneous emulsification during material exchange in a two phase liquid system

Kinetic restriction of a thermodynamically favourable equilibrium is a common theme in materials processing. The interfacial instability in systems where rate of material exchange is far greater than the mass transfer through respective bulk phases is of specific interest when tracking the transient interfacial area, a parameter integral to short processing times for productivity streamlining in all manufacturing where interfacial reaction occurs. This is even more pertinent in high-temperature systems for energy and cost savings. Here the quantified physical pathway of interfacial area change due to material exchange in liquid metal-molten oxide systems is presented. In addition the predicted growth regime and emulsification behaviour in relation to interfacial tension as modelled using phase-field methodology is shown. The observed in-situ emulsification behaviour links quantitatively the geometry of perturbations as a validation method for the development of simulating the phenomena. Thus a method is presented to both predict and engineer the formation of micro emulsions to a desired specification

Sodium carboxymethyl cellulose (Na-CMC)

 At present, there are two problems with using Na-CMC as an adhesive. The first is that during the preparation of reconstituted tobacco, adding powdered Na-CMC to the formula material makes the molecular chain of the Na-CMC adhesive powder difficult to stretch, it dissolves quickly in water and full plays the binding effect. During product preparation, mixing wet and dry materials takes ~3–5 min.  </p

Tobit model regression results.

Tobit model regression results.</p

The statistical description of the input-output indicators from 2005–2017.

The statistical description of the input-output indicators from 2005–2017.</p

Spatiotemporal change of carbon emission efficiency in the YRB.

Spatiotemporal change of carbon emission efficiency in the YRB.</p

The robustness test (the proportion of thermal power generation is replaced by per capita power consumption).

The robustness test (the proportion of thermal power generation is replaced by per capita power consumption).</p

Decoupling state for YRB regions over 2005–2017.

Decoupling state for YRB regions over 2005–2017.</p

Dynamic evolution characteristics of carbon emission efficiency in YRB.

Dynamic evolution characteristics of carbon emission efficiency in YRB.</p

Radar chart of comprehensive energy efficiency in the YRB.

Radar chart of comprehensive energy efficiency in the YRB.</p