6 results about "Human being" patented technology

It is an object of the present invention to provide a solution for creating an effective method for retarding unhealthy manifestations brought by ageing of human beings (in particular, but not limited to the reduction of sexual activity and fertility, climax, changes in glucose tolerance, reduction of cognitive and mnestic functions, reduction of stress resistance, development of organ and tissue sclerosis) without directly affecting the genetic apparatus of the ageing cells.

According to the invention this task is solved by administration into the blood circulation of the agent which inactivates extracellular blood plasma DNA; the extracellular blood DNA inactivating agent can be embodied in the form of an extracellular blood plasma DNA destroying agent; said extracellular blood plasma DNA destroying agent can be embodied in the form of an DNase enzyme; the extracellular blood plasma DNA inactivating agent can also be embodied in the form of an extracellular blood plasma DNA binding agent; the extracellular blood plasma DNA binding agent can be embodied in the form of anti-DNA antibodies; the extracellular blood plasma DNA inactivating agent can be administered in the form of an enzyme modifying the chemical composition of extracellular blood plasma DNA; the extracellular blood plasma DNA inactivating agent can be embodied in the form of an agent that stimulates synthesis or activity of endogenous deoxyribonuclease, or an agent that stimulates the synthesis of antibodies which capable to bind extracellular blood plasma DNA.

The invention relates to a relevance feedback method based on a transfinite learning machine. The relevance feedback method comprises the following steps: inputting an inquiry image; retrieving the image to obtain a retrieval result, and marking a result by a user; respectively extracting an SIFT characteristic, a Colour characteristic and an LBP characteristic from the marked image; training three basis classifiers by utilizing the three kinds of characteristics; respectively putting the image in a retrieval image library in the three basis classifiers, voting according to a prediction result, and automatically marking each unmarked image; training and updating the classifiers again; classifying the image in the image library; and returning a result. The relevance feedback method disclosed by the invention is established on the basis of the transfinite learning machine; human-computer interaction is carried out by introducing the inquiry intention of human beings; learning data are enriched by effectively utilizing the unmarked image in the image library; therefore, the image feedback precision is greatly increased; furthermore, the processing speed is controlled well; expression of the image in a computer accords with understanding of human beings to image semantics well; and thus, the relevance feedback method has a good feedback effect.

The invention discloses a kangaroo-imitated lunar surface wearable jumping robot. According to the robot, sensor groups arranged in a waist fixing part, thigh parts, shank parts and flexible long footparts are used for tracking movement information such as postures and positions of all parts in real time when an astronaut moves on a lunar surface, the movement intention of the astronaut is judged, output force of thigh drivers, shank drivers, long foot drivers and tail drivers is controlled, and therefore assistance is provided for movement of the astronaut on the lunar surface. According tothe robot, the movement ability of human beings on a moon can be enhanced, the stability and balance of the movement of the astronaut on the lunar surface are improved through shock absorption, the metabolic energy consumption of the astronaut can be reduced through the storage and redistribution of elastic potential energy, and the robot can be popularized on the earth as entertainment equipment.

The invention provides a man-machine interaction safety guarantee method based on prediction of human behaviors, which can predict behavior decisions which can be taken by human beings next according to the external environment and previous behaviors of the human beings in consideration of risk avoidance of people. According to the method, the risk avoidance psychology of people during decision making is considered for the first time when human behaviors are predicted by a machine. Under the model established by the method, risk avoidance of human beings is considered, so that a machine can predict the action sequence of task completion of the human beings, and in a man-machine cooperation task, the robot can predict the next behavior of the human beings more accurately, so that the robot can better cooperate with the human beings to complete more complex tasks.