Cytochromes P450 (P450s) catalyze the diverse range of oxidation reactions, during which they receive electrons from various redox partners. In bacteria, the P450 redox protein system is very diverse, but most of them use P450 class-I system as electron transfer proteins. Due to the linear nature of bacterial genomes, short intergenic distances between P450s and putative redox proteins hint possible redox partnership. Therefore, it is of importance to look for their potential redox partner in the native genomes. A total of 4,849 genomes were found containing P450, 12,613 contain ferredoxin and 10,759 genomes contain ferredoxin reductase genes. Most of them belong to the phylum Proteobacteria, while the Mycobacterium was found to be the most P450-rich genus among bacteria. In about 32% of P450-containing genomes, P450 and ferredoxin genes are located very close to each other, while the ferredoxin reductase genes are located at some distance apart in most cases. Gene cluster analysis shows that P450 genes are found in clusters with corresponding ferredoxin and ferredoxin reductase genes, mostly in the phylum of Actinobacteria. Overall, our study provides insights into the distribution pattern of P450 genes along with corresponding ferredoxin and ferredoxin reductase genes in bacteria.

Every day, an enormous amount of terabyte authentication data is generated. These data are generally stored, analyzed and retrieved according to different computational methods. The need of stored, analyzed and retrieved these data efficiently become a must. The aim of the proposed system is to build an authentication system that determine the identity of the cloud users based on their fingerprints. This system uses image processing techniques to analyze and retrieve the user data. The system shows that applying all processing of registering new user, converting and checking fingerprints and saving fingerprints on the mobile side results that the average time consumed to process the data is 16 second. The system shows that applying all processing of registering new user, converting and checking fingerprints and saving fingerprints on the server side with keeping the interface on the mobile side results that the average time consumed to process the data is 4.11 second. The system will help cloud users to finish the authentication process efficiently.

In studies performed so far, this has been proved that considering substitution problem results in improved profitability of the collection. Substitution is the possibility of replacing one product with another in an inventory system. When a product faces with shortage, a certain percentage of its demand can be replaced with similar goods. \nIn this paper, a Tri-objective model with the substitution assumptions is considered. In here, the substitution means that there is a relation between different items that allows these items to be used instead of each other. Demands are considered probabilistic and there are some other assumptions as follows: planning is multi-period and multi-product, inventory control parameters are fixed during planning period. Shortage is allowed but in the form of lost sale, the inventory of beginning of first period is very few (almost zero) and the remaining inventory at the end of each period will be moved to the next period. Objective functions are looking for maximizing the profit, minimizing the risk of facing slack and minimizing of the dissatisfaction rising from substitution. Model is solved with two approaches: first with the LP-Metric method and next by two meta-heuristic algorithms such as NSGA-II and Deferential Evolution. \nMost researches have focused on profit maximization or costs minimization. The current paper considers a multi-product and multi-period triple-objective model, assuming substitution existence and demand possibility, which in addition to extensive covering of items in the similar articles. According to our researches there was no similar case, up to time of writing this paper.\nSome assumptions which are considered are: Demand is uniformly distributed in each period, Maintenance cost is fixed in different periods, Items price is fixed in different periods, Substitution relationship exists between some inventory items, Shortage is allowed and is constant in different periods in the form of lost sale and shortage price, The amount of inventory is insignificant at the beginning of the study, the remaining items are transferred to the next at the end of each period and also the duration of all of the periods are the same.

In this paper, the synchronization of grid voltage of the distributed generation systems are studied by the considering various grid synchronization techniques. In order to get the required amount of accurate and fast grid voltage synchronization algorithms this is important to work under distorted and unbalanced conditions. Therefore it is necessary to analyze the synchronization capability of three advanced synchronization systems: the three-phase enhanced PLL the decoupled double synchronous reference frame phase-locked loop (PLL), and the dual second order generalized integrator PLL which is implemented under such conditions. The fuzzy controller is the most appropriate for the human decision-making mechanism, providing the operation of an electronic system with decisions of experts. Here we are using the fuzzy controller compared to other controllers. Here we are using the fuzzy controller compared to other controllers for better performance. Moreover if other system depend upon frequency-locked loops have also been developed, PLLs have been chosen due to their link with dq0 controllers. By using MATLAB/Simulink software the simulation have been done.

Nowadays, 3D printing is widely used in many areas of life as healthcare systems, automotive and industry. Therefore, 3D printing models are often used illegally without any permission from the original providers. This paper presents a novel watermarking method for the 3D printing copyright protection based on the Menger curvature of facet. The facets of 3D printing model are classified into groups based on the value of Menger curvature by the clustering algorithm, and the mean Menger curvature of each group will be then computed for embedding watermark data. The watermark data is embedded to the groups of facets by changing the mean Menger curvature of each group. In each group, we select a facet which has the nearest Menger curvature with the changed mean Menger curvature that has been embedded watermark, and we then change the vertices of the selected facet according to the changed Menger curvature for the watermarked 3D printing model generation. Watermark data is extracted from 3D printed objects which are printed from the watermarked 3D printing models by 3D printer. In experiments with XYZ Printing Pro 3D printer and 3D scanner, the distance error between the original 3D printing model and the watermarked 3D printing model is approximately zero. The accuracy of the proposed method is higher than previous methods. Experimental results also verify that the proposed method is invisible and robust with geometric attacks as rotation, scaling and translation.

Photovoltaic pumping is considered the most widely used application among other photovoltaic energy applications in isolated sites. This technology is developing with a slow progression to allow the photovoltaic system to operate at its maximum power. This work introduces the modified algorithm which is a perturb & observe (P&O) type to overcome the limitations of the conventional P&O algorithm and increase its global performance in abrupt weather condition changes. The most significant conventional P&O algorithm restriction is the difficulty faced when choosing the variable step of the reference voltage value, a good compromise between the swift dynamic response and the stability in the steady state. To adjust the step reference voltage according to the location of the operating point of the MPP, a fuzzy logic controller (FLC) block adapted to the P&O algorithm is used. This allows the improvement of the tracking pace and the steady state oscillation elimination. The suggested method was evaluated by simulation using MATLAB/ SimPowerSystem blocks and compared to the classical P&O under different irradiation levels. The results obtained show the effectiveness of the technique proposed and its capacity for the practical and efficient tracking of maximum power.