An activation mechanism for an aerosol dispenser is presented having a first housing structure, an actuation member movably arranged in the first housing structure, wherein the first housing structure is provided with an actuation member opening in level with the axial position of the actuation member, and an activation member slidably attached to the first housing structure, the activation member slides between a non-triggering position and a triggering position relative to the first housing structure, wherein the activation member has a radially flexible tab portion that is offset from the actuation member opening when the activation member is in the non-triggering position, restricting radial flexing of the tab portion, and wherein the tab portion aligns with the actuation member opening when the activation member is in the triggering position, thereby enabling the tab portion to flex radially inwards to cause movement of the actuation member.

A method, apparatus and storage medium for forecasting air pollutant concentration, including: constructing a training set, a validation set and a test set based on a data set; the data set is obtained by collecting pollutant concentration data and meteorological data in a predetermined length of time in a target area; constructing an adjacent matrix A of a graph structure based on the spatial distribution of monitoring stations in the target area; establishing a neural network model F(x;Θ|A), where x is the input data of it, including pollutant concentration data and meteorological data within predetermined time period, training the neural network model using the data of the training set, adjusting the parameters Θ of the neural network model using the data of the validation set and the data of the test set, and obtaining the modified neural network model; using the modified neural network model for air pollutant concentration forecasting.

A method, apparatus and storage medium for forecasting air pollutant concentration, including: constructing a training set, a validation set and a test set based on a data set; the data set is obtained by collecting pollutant concentration data and meteorological data in a predetermined length of time in a target area; constructing an adjacent matrix A of a graph structure based on the spatial distribution of monitoring stations in the target area; establishing a neural network model F(x;Θ|A), where x is the input data of it, including pollutant concentration data and meteorological data within predetermined time period, training the neural network model using the data of the training set, adjusting the parameters Θ of the neural network model using the data of the validation set and the data of the test set, and obtaining the modified neural network model; using the modified neural network model for air pollutant concentration forecasting.

An activation mechanism for an aerosol dispenser is presented having a first housing structure, an actuation member movably arranged in the first housing structure, wherein the first housing structure is provided with an actuation member opening in level with the axial position of the actuation member, and an activation member slidably attached to the first housing structure, the activation member slides between a non-triggering position and a triggering position relative to the first housing structure, wherein the activation member has a radially flexible tab portion that is offset from the actuation member opening when the activation member is in the non-triggering position, restricting radial flexing of the tab portion, and wherein the tab portion aligns with the actuation member opening when the activation member is in the triggering position, thereby enabling the tab portion to flex radially inwards to cause movement of the actuation member.