A graph is a relational data structure suitable for representing non-Euclidean structured data. In recent years, neural networks (GNN) and their subsequent variants, which utilize deep to complete analysis representation, have shown excellent performance in various application fields. However, the propagation mechanism of existing methods relies on hand-designed GNN layer connection architectur...

The design of control engineering applications usually requires a model that accurately represents the dynamics real system. In addition to classical physical modeling, powerful data-driven approaches are increasingly used. However, resulting models not necessarily in form is advantageous for controller design. domain, it highly beneficial if system given PCHD (Port-Controlled Hamiltonian Syste...

Iterative learning control (ILC) is a design method that can improve the tracking performance for systems working in repetitive manner by from previous iterations. Norm optimal ILC well known with appealing convergence properties, e.g. monotonic error norm convergence. However, it requires an explicit system model design, which be difficult or expensive to obtain practice. To address this probl...

An antibiotic, D-cycloserine (DCS), inhibits the catalytic activities of alanine racemase (ALR) and D-alanylD-alanine ligase (DDL), which are necessary for the biosynthesis of the bacterial cell wall. In this study, we cloned both genes encoding ALR and DDL, designated alrS and ddlS, respectively, from DCS-producing Streptomyces lavendulae ATCC25233. Each gene product was purified to homogeneit...

PREVIOUS studies have revealed that the cysC region of the Salmonella typhimurium chromosome includes a cluster of five genes arranged in the sequence cysC-D-H-I-J ( MIZOBUCHI, DEMEREC and GILLESPIE 1962). Genes cysC and D are adjacent to each other, as are genes I and J (Figure 1). Genes D and H are separated by a long segment of genetic material for which no functions have been found (the “si...

Preprocessing techniques are crucial for SAT solvers when it comes to reaching state-of-the-art performance as it was shown by the results of the last SAT Competitions. The usefulness of a preprocessing technique depends highly on its own parameters, on the instances on which it is applied and on the used solver. In this paper we first give an extended analysis of the performance gain reached b...

Procurement is an essential operation of every organization regardless its size or domain. As such, aggregating the demands could lead to better value-for-money due to: (1) lower bulk prices; (2) larger vendor tendering; (3) shipping and handling fees; (4) reduced legal administration overheads. This paper describes our experience in developing AI solution for demand aggregation deploying it A*...