Fabrication methods for a 3D periodic nanostructure with excellent and unique properties for various applications, such as photonic and phononic crystals, have attracted considerable interest. Templating processes using colloidal crystals have been proposed to create nanoshell-based 3D structures over a large area with ease. However, there are technical limitations in structural design, resulti...

Titanium and titanium alloys have excellent physical properties process are widely used in the aviation industry, but their high-temperature oxidation resistance is poor, there a thermal barrier temperature of 600 °C, which limits application as components. The Self-generated Gradient Hot-dipping Infiltration (SGHDI) method to prepare Ti-Al-Si gradient coating based on silicon concentration wit...

We investigated Tweety Family Member 3 (TTYH3) level in lung adenocarcinoma (LUAD) and its relationship with immune infiltration tumors by bioinformatics. Differential expressions of TTYH3 cancer were analyzed Oncomine, TIMER, GEO, UALCAN HPA. Relationship mRNA/protein levels clinical parameters was UALCAN. Co-expressed genes LUAD using Cbioportal. Its prognosis Kaplan-Meier plotter. GO KEGG an...

In order to study the seepage process of rainwater on granite residual soil cut slopes, a numerical model for analysis slopes was established. Then, by applying rainfall boundary condition, path slope analyzed under condition infiltration. Finally, during seepage, volumetric water content and pore-water pressure change characteristics inside were analyzed, mechanism in revealed. The results sho...

This paper presents the current state of the art of the iron base infiltration process. The several papers detailing the efforts made in the last few years to develop the process and assess its mechanical property potential and dimensional change characteristics are reviewed and presented in summary form.

Infiltration rate is one of the most important parameters used in irrigation water management. Direct measurement of infiltration process is laborious, time consuming and expensive. Therefore, in this study application of some indirect methods such as artificial neural networks (ANNs) for prediction of this phenomenon was investigated. Different ANNs structures including two training algorithms...