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Today, with the development of economy, the construction industry has achieved remarkable results. Civil engineering is increasing in the number of cities, which plays a certain role in promoting urban construction. During the construction of civil engineering, building materials are an important part. Without building materials as the basis, it is difficult to make civil construction work normally. In order to obtain more profits, some enterprises often purchase some cheaper materials, which have serious harm to the environment. Therefore, construction enterprises should change their concepts and pay attention to green building materials so that they can be widely used in civil construction to ensure the green nature of civil construction.

We study a class of Cantor sets in [0, 1]. We show that the complement of the Cantor set is winning for Schmidt game if and only if the Cantor set is not “fat”. This provides some open dense sets of full Lebesgue measure that are not winning for Schmidt game.

(2+1)‐dimensional non‐isospectral multi‐component AKNS equations are derived from an arbitrary order matrix spectral problem. As a reduction, (2+1)‐dimensional non‐isospectral multi‐component Schrodinger equations are obtained. Moreover, new (2+1)‐dimensional non‐isospectral integrable couplings of the resulting AKNS equations are constructed by enlarging the associated matrix spectral problem.

As ULSI technology continues to advance, semiconductor manufacturers are facing new contamination control and monitoring challenges, including airborne molecular contamination (AMC). AMC is being recognized as one of the yield limiting factors in newer generation microelectronics fabrication processes. A major AMC source, materials’ outgassing can introduce a variety of organic contaminants into semiconductor fabs, impacting many processes. This paper provides a brief overview of typical organic outgassing contaminants, their sources, process impacts and analytical techniques used to detect these species. In addition, outgassing study results for polycyclodimethylsiloxanes and several other contaminants using thermal desorption‐gas chromatography‐mass spectrometry (TD‐GC‐MS) analysis are employed to demonstrate the relationships among (1) outgassing level and outgassing time (linear), (2) outgassing quantity and the inverse of outgassing temperature (logarithmic), and (3) outgassing quantity and material surface area (linear). A new method, based on gas diffusion conductivity detection, for ammonia and volatile amines’ outgassing analysis is also presented.