Fe-substituted MWW-type zeolites ([Fe]-MWWMC) were successfully synthesized by a mechanochemically assisted hydrothermal synthesis, termed the mechanochemical method, for first time and compared with samples prepared conventional method ([Fe]-MWWHT). A reaction between SiO2 ?-FeOOH, which is step of yielded an amorphous Si–Fe composite oxide that consisted tetrahedrally coordinated Fe species i...

BACKGROUND Small intestinal neuroendocrine neoplasm (SI-NEN) proliferation is quantified by Ki67 measurements which capture G1-G2M phases of the cell cycle. G0 and early G1 phases, typical of slow-growing cells, can be detected by minichromosome maintenance protein (MCM) expression. We hypothesized that these replication licensing markers may provide clinically relevant information to augment K...

Zeolites have ordered pore structures, good spatial constraints, and superior hydrothermal stability. In addition, the active metal elements inside outside zeolite framework provide porous material with adjustable acid–base property redox performance. Thus, zeolites-based catalysts are more widely used in chemical industries. Combining advantages of zeolites components, materials to catalyze ox...

By the immobilization of bipyridinium chloride onto mesoporous MCM-41encapsulated Fe3O4 nanoparticles via a simple post-synthesis method, a totally new organic-inorganic hybrid nanocomposite was formulated. The heterogeneous hybrid nanomagnetic composite was characterized by <spa...

Several synthesis routes have been developed and correlations between the variables of procedure physicochemical properties nanoporous silica materials MCM-48 type deposited by template method in presence a low-valent iron (II) cation investigated. Changes structure mesoporous framework, its textural degree energy inhomogeneity surface were studied depending on Fe/Si molar ratio, pH values (4 9...

Please cite this article in press as: D.A. Ca Application of knowledge discovery methods to crystal structure databases is an emerging research area of materials science that is playing an important role in facilitating data analysis. This study is aimed at combining computational geometry methods with machine learning algorithms for classification of inorganic solid materials of known structur...