Supercomplexes of plant photosystem I with cytochrome b6f, light-harvesting complex II and NDH

Photosystem I (PSI) is a pigment-protein complex required for the light-dependent reactions of photosynthesis and participates in light-harvesting and redox-driven chloroplast metabolism. Assembly of PSI into supercomplexes with light harvesting complex (LHC) II, cytochrome b6f (Cytb6f) or NAD(P)H dehydrogenase complex (NDH) has been proposed as a means for regulating photosynthesis. However, structural details about the binding positions in plant PSI are lacking. We analyzed large data sets of electron microscopy single particle projections of supercomplexes obtained from the stroma membrane of Arabidopsis thaliana. By single particle analysis, we established the binding position of Cytb6f at the antenna side of PSI. The rectangular-shaped Cytb6f dimer binds at the side where Lhca1 is located. The complex binds with its short side rather than its long side to PSI, which may explain why these supercomplexes are difficult to purify and easily disrupted. Refined analysis of the interaction between PSI and the NDH complex indicates that in total up to 6 copies of PSI can arrange with one NDH complex. Most PSI-NDH supercomplexes appeared to have 1-3 PSI copies associated. Finally, the PSI-LHCII supercomplex was found to bind an additional LHCII trimer at two positions on the LHCI side in Arabidopsis. The organization of PSI, either in a complex with NDH or with Cytb6f, may improve regulation of electron transport by the control of binding partners and distances in small domains

An evaluative algorithm for evolutionary-estimated per-partes-programming the Turing machine

This paper deals with description of designed evaluative algorithm which is intended for usage inside cost function of evolutionary algorithms. This algorithm enables evolutionary-estimated per-partes-programming the Turing machine for solving complex tasks and offers flexible way of setting parameters for the programming process. The parameter setting is a key feature of designed algorithm. Parameters of the algorithm have the form of weights which influence the rate of deterministic/stochastic behavior of the algorithm. By changing the weights there can be achieved entirely different results for solving the same problem. The second key feature is an ability to ensure correct programming of the Turing machine which process complex tasks

Evolutionary-estimated programming the Turing machine by differential evolution

This research deals with employing an artificial intelligence at estimating the rules for programming the Turing machine. The aim of this project is to simplify a programming process, which consists of designing the Turing machine's transition function. This is realized by using artificial intelligence for performing composition of the rules which map responses of the transition function in dependence on its arguments. Within the research, there were chosen a few of suitable artificial intelligence algorithms for solving this problem. In the previous working on this project, Self-Organizing Migrating Algorithm had been used. As another, there was chosen Differential Evolution as the suitable artificial intelligence algorithm for solving this problem. In this paper there is described an employment of the latter algorithm at estimating the rules for programming the Turing machines. This paper subsequently proves that the evolution can produce valid rules for solving concrete tasks by the Turing machine. This research has confirmed possibilities of simplifying programming the Turing machine by artificial intelligence

Flat coil optimiser

P(ED2.1.00/03.0089),

Contactless ECG scanning device hardware design proposal

In this paper proposals on construction of the contactless ECG scanning system hardware are described. The philosophy of the system is based on the idea of creating a simple-to-be-worn dress that includes capacitive ECG sensors the outputs of which are transferred to the A/D converter of a processing device. Contemporary technologies enable sewing of the sensors as well as the connecting wires into the dress. The processing device receives three analogous signals corresponding to the potential differences sensed on the body of the measured person. The paper is focused on the problem of getting and transmitting this signal to the processing device. Copyright © (2012) by the International Measurement Federation (IMEKO)

Employing self organizing migrating algorithm at electrical circuitry designing

Electrical circuit designers use a wide variety of software intended to make their work easier. In some cases, several steps of processing the design can be automated or, at least, processed with computers. The logical trend then tends to employ the artificial intelligence as a powerful instrument. In this article we display the usage of artificial intelligence algorithms at searching for the optimal load line of some basic active devices that are utilized in low frequency amplifiers - transistors and vacuum valves

A description of the protein structures by evolutionary-programmed Turing machine

Proteins belong amongst one of the essential biological structures which influence processes occurring in living organisms. The elementary characterization of proteins has a form of sequences containing amino-acids which are elements of primary protein structures. This paper is concerned with the description of primary protein structures by the evolutionary-programmed Turing machine. The description has an appearance of rules which are used for the representation of the Turing machine's program. It therefore means that it is possible to use a Turing machine for the description of original proteins on the basis of amino-acid sequences or the eventual reconstruction of the original protein if damage occurred

Planar inductor optimised by evolutionary algorithm

Planar inductors made on a printed circuit boards are rather commonly employed today and there are various software applications to help the designer with their proposals. These applications are usually based on numerical methods created according to commonly utilized approximations. In this paper, there is described the design of a single layer spiral inductor with parameters optimized by Self-Organizing Migrating Algorithm in order to achieve required inductance while the resistance of the inductor is as low as possible

Mechanical properties testing of P92 welded joints prepared by Manual Metal Arc Welding

This article deals with the new results from measurement of mechanical properties of P92 welded joints. Tested welded joints of P92 steel were prepared using Gas Tungsten Arc Welding (GTAW) for root layer in combination with Manual Metal Arc Welding (MMAW) for filler layers. After the welding, the different modes of Post Weld Heat Treatment (PWHT) were made and the values of hardness, tensile strength and impact toughness of weld metal and Heat-Affected Zone (HAZ) were measured.Web of Science251636