5 results about "Addictive behavior" patented technology

This invention discloses a strain of *Bifidobacterium pseudosporidis*, its preparation method, and its application in the prevention and treatment of METH addiction. *Bifidobacterium pseudosporidis* was isolated from fecal samples of individuals with low levels of METH addiction, and its strain identity was confirmed after isolation, purification, and identification. A METH addiction model was constructed by gavage colonization of C57 mice with this strain, and addiction-related indicators were detected in the model mice. The results showed that compared with the addiction model mice without colonization of this strain, the conditioned place preference score of the colonized group was significantly reduced (P<0.05). This *Bifidobacterium pseudosporidis* has a significant effect on improving METH addictive behavior and can be used to prepare biological agents with preventive and / or therapeutic functions for METH addiction. This invention reveals that *Bifidobacterium pseudosporidis* has the advantages of high safety and strong targeting, and can achieve the prevention and intervention of METH addiction without complex treatment equipment, providing a novel biological treatment option for the clinical treatment of METH addiction.

The invention discloses a short video anti-addiction method and a mobile terminal, and relates to the technical field of mobile terminal application control, and the method comprises the following steps: S1, detecting a continuous sliding operation state of a user in a short video application; s2, when it is detected that the continuous sliding operation state meets a preset condition, an anti-addiction intervention mechanism is triggered; s3, executing at least one of the following intervention modes: (1) randomly replacing a sliding operation of the user with a return operation; (2) the resistance of sliding operation is increased, and the sliding distance is prolonged; (3) switching the application interface into a black and white display mode; according to the method, the core addiction behavior of high-frequency sliding is detected in real time, the addiction chain can be broken earlier instead of depending on the accumulated time length, gesture replacement, resistance enhancement and black and white display are integrated into the normal operation process of a user, strong interference modes such as forced screen locking and popup shielding do not exist, and the user acceptability is high.

The invention relates to an addiction behavior monitoring system and method based on intelligent glasses, and the system comprises the intelligent glasses and a cloud server. The intelligent glasses are used for collecting a first person visual image of a user, starting continuous video recording to generate corresponding multi-modal feature data under the condition that a target terminal exists in the first person visual image, and uploading the multi-modal feature data to the cloud server; and the cloud server is used for receiving the multi-modal feature data, monitoring digital addiction behaviors of the user in a continuous time sequence according to the multi-modal feature data, and performing hierarchical intervention under the condition that the user has an addiction risk. Through the application, all-weather cross-platform accurate monitoring, early warning and graded intervention of the addiction risk by using the intelligent glasses are realized, the condition of the target terminal is identified firstly, then continuous video recording is started, low-power-consumption operation of the intelligent glasses is ensured, and the problem of how to improve the monitoring capability of the digital addiction risk of a user is solved.

The invention provides an EMDR theory-based addiction behavior long-acting intervention system and equipment, and relates to the technical field of artificial intelligence, the system comprises an evaluation module, a processing module, a generation module, a drilling module and an integration module, and a standard system for integrating a Fagger behavior model and an eye movement desensitization reprocessing therapy is constructed. And automatic generation and matching of healthy micro behaviors are realized based on an algorithm, so that the technical problems of weak motivation maintenance, difficult behavior conversion and high recurrence rate in the prior art are solved, and dual-path long-acting intervention from an emotion root to a behavior mode is realized.

Provided herein is a method for weaning a subject suffering from a drug addiction or addictive behaviors involving opioid signaling by sequentially blocking peripheral and CNS opioid receptors and modulating opioid dependence.