32 results about "Slime mold" patented technology

The present invention relates to amoebae (slime molds) and uses thereof. In particular, the present invention relates to the use of amoebae or their environmentally stable spores to treat microbial infections and other uses.

The present invention relates to amoebae (slime molds) and uses thereof. In particular, the present invention relates to the use of amoebae or their environmentally stable spores to treat microbial infections and other uses.

The present invention is based on the bionic optimization method of the traffic network vulnerability problem based on the foraging behavior of slime mold. The method adopts the foraging behavior of slime mold to perform bionic optimization on the vulnerability problem of the traffic network, and uses multiple slime deformable bodies of a single slime mold to complete different The traffic network route in the direction is solved in parallel, the traffic network node is simulated as an external food source, the line between two nodes in the traffic network is simulated as a viscous deformation body, and the traffic network is simulated as a slime mold covering all external food sources Plastome, simulates transportation as the transportation of nutrients in the body, and simulates the optimization problem of the vulnerability of the transportation network as the optimization problem of the slime mold foraging network. This bionic method can efficiently complete the optimal solution of the vulnerability problem of the traffic network, save social costs, improve the efficiency of resource use, and simplify the problem-solving process for researchers.

Novel enzymes, processes and antigenic structures useful in producing vaccines and compounds useful in combating gram-negative bacteria are described. Enzymes were isolated from the slime mold Dictyostelium discoideum and used to specifically degrade lipopolysaccharide (LPS). Enzymatic degradation permits residues of the LPS molecule, including immunogenic epitopes of the core oligosaccharide portion of the LPS, to remain unmodified during this enzymatic removal of fatty acids from the lipid A region of the LPS molecule.

The invention provides a blind source separation method based on the quantum slime mold search mechanism under strong impact noise. The objective function is designed based on the independence criterion of maximizing the kurtosis of the separated signal. The method first uses the Givens rotation transformation to reduce the calculation amount, Then, the objective function is optimized within the given search range, and the optimal solution of the objective function and its corresponding separation matrix are searched by the designed quantum slime mold search mechanism within this range, so as to realize blind source separation. The designed method can realize blind source separation of aliased signals in strong impact noise environment and low signal-to-noise ratio. It has the advantages of fast convergence speed, high separation accuracy and stable performance, and has a wide range of application prospects.

The invention discloses a method for selecting agent nodes to manage fog computing network based on slime mold algorithm, which relates to the field of fog computing and computer network technology; in order to solve the problem that the current fog network management method cannot adapt to this kind of expansion and cause a certain high time The advantage of fog computing cannot be effectively utilized; this method includes a fog network information acquisition module, an agent node selection module, and an agent node work module. The node selection module uses the slime mold algorithm to select a certain number of nodes that meet the selection criteria from the fog nodes to become proxy nodes. This method simplifies the number of proxy nodes and reduces the behavior of large nodes being directly selected as proxy nodes. The slime mold algorithm can control the selection of proxy nodes including location, capacity, quantity, etc., so that the management of the fog network can always maintain a good load balance and play a good role. More efficient edge computing capabilities.