The oxidation of unsymmetrical dimethylhydrazine(UDMH) with different oxidizing agents in atmosphere, water and soil has been reviewed. Emphasis is put on comparison of the oxidative products and the oxidation mechanism in different systems rather than on individual results. The number of the detected oxidative products are more than 30, and major identified products are N-nitrosodimethyamine, Formaldehyde dimethyldrazones, Dimethylamine, Tetramethyl-tetrazene, Formaldehyde, which are proved to have serious environment and human health impact. The main detailed pathway in ozone and oxygen reaction is primary abstracting hydrogen for N-H bond with formation N-amine radical or diazene, followed by add oxygen to form N-oxides radicals; Moreover, the N-oxides radicals undergo disproportion forming NDMA and the diazene leads to dimerization to tetramethyltetrazone, cleavage to dimethylamine; while the hydroxide radical tends to abstract hydrogen from C-H bond leads to formaldehyde and formaldehyde dimethyldrazone. In order to clarify understanding the mechanism, the evaluation of transformation products quantitative analysis, as well as the advancement in theoretical and computational methods is the key role for the further study.

Clustering by fast search and find of density peaks (CFSFDP) is a new density based algorithm that discovers the centers of cluster by finding the density peaks efficiently. CFSFDP is applicable to a lot of clustering problems that deal with static data. Nowadays, more and more data, such as, social networks, blogs, web pages, Internet of things etc., is appearing in dynamic manner. However, CFSFDP is applicable only to organize the static data into different clusters. This paper considers the technique to be used with CFSFDP in the incremental clustering problem. In this paper, a novel approach ICFSFDP based on Nearest Neighbor Assignment (NNA) is proposed. ICFSFDP utilizes the CFSFDP mechanism for clustering the initial dataset and the remaining data-points are assigned to existing clusters based on NNA. Three standard clustering benchmark datasets are used to test the performance of the proposed method. The experimental results present that ICFSFDP based on NNA is efficient and effective to cluster the dynamic data and it is robust to noise as well.

Graphene and its derivatives are extensively used in many applications from medical to environmental or electronic applications, as well. The high interest for this kind of materials is due to the extraordinary electrical and mechanical properties, the good biocompatibility and a remarkable specific surface area. From the point of view of environmental applications, two properties are essential: very high specific surface area (can reach 2600m2/g, twice comparing to Single Wall Carbon Nanotube) and the ability of graphene to be oxidized and thus, the hydrophobic backbone and the hydrophilic moieties can selectively bind the desired hazardous compounds from different media, regardless their hydrophobic or hydrophilic nature. Among the many preparation routes presented in the literature only a few are suitable for obtaining graphene and graphene oxide at reasonable price at large scale. Along with the ability of selectively remove different species, graphene and its derivatives can be used as sensor.

Nd:YAG pulse laser system was used to fabricated TixBi1.7Pb0.3Sr2Ca2Cu3Oy superconductor thin films, were x=0.1, 0.3 and 0.5. All the samples have been annealed after deposition with flow of oxygen for two hours at 800 ºC. X-ray diffraction analysis evidenced that the prepared thin films were consistent of low 2212 and high 2223 phases. Scanning electron microscopy images of the samples revealed that the addition of Ti nanoparticles into (Bi,Pb)-2223 composition would have significant effects on their grain sizes and morphologies. Electrical properties of the thin films can be associated to the modification in the holes content, the highest TC at 114.5 K was obtained for the thin film with x=0.3.