Abstract— By adding a negative self-feedback to the maximum neural network (MNN), we propose a new parallel algorithm for the broadcast scheduling problem in packet radio networks. The developed algorithm introduces richer and more flexible nonlinear dynamics, and can prevent the network from getting stuck at local minima. The algorithm is verified by simulating 13 different packet radio networks.

A clique of an undirected graph G (V, E) with a vertex set V and an edge set E is a subset of V such that all pairs of vertices are connected by an edge in E. The maximum clique problem (MCP) is to find a clique of maximum size of the graph G. Figure 1(b) shows a maximum clique of the graph Figure 1(a) with 10 vertices and 21 edges. It is one of the first problems which have been proven to be N...

Perinatal undernutrition is known to disturb reproductive development, in particular by delaying the onset of puberty in certain species. Using a rat model, we studied whether hypernutrition after birth can rescue the delayed onset of puberty in intrauterine undernourished female rats. Pregnant rats were divided into two groups: the maternal normal nutrition (mNN, n = 8) and maternal undernut...

In the centrosymmetric dinuclear title compound, [Mn(2)Cl(4)(C(15)H(14)N(4))(2)(H(2)O)(2)], the Mn(II) atom is coordinated by an N,N'-bidentate ligand, a water mol-ecule, a terminal chloride ion and two bridging chloride ions in a distorted MnN(2)OCl(3) octa-hedral geometry. The Mn⋯Mn separation is 3.6563 (9) Å. In the crystal structure, O-H⋯N and O-H⋯Cl hydrogen bonds help to establish the pac...

Modular Neural Networks (MNNs) is a rapidly growing field in artificial Neural Networks (NNs) research. This paper surveys the different motivations for creating MNNs: biological, psychological, hardware, and computational. Then, the general stages of MNN design are outlined and surveyed as well, viz., task decomposition techniques, learning schemes and multi-module decision-making strategies. ...