Abstract: A system may collect, from a wireless network, first data pertaining to nodes in the wireless network. Each datum of the first data belongs to one of two or more categories/For each of the nodes, for each of the categories, and for each datum belonging to the category, the system may determine if the datum is outside of a first range of values, and if the datum is inside the first range, the system may calculate a first base network performance health (NPH) score that is a function of the nodes, the categories, the data, and time. The system may also apply first deep learning to a first neural network among a plurality of neural networks to update first coefficients for correlating the first base NPH score to a mean opinion score, for each of the categories.

Abstract: A method, a device, and a non-transitory storage medium provide receiving a plurality of voice call quality values and values for a plurality key performance indicators (KPIs) related to voice over Wi-Fi voice call quality; selecting a subset of the plurality of KPIs based on a correlation between each KPI and the voice call quality value; performing a plurality of discrete regression analyses based on the subsets of the plurality of KPIs and the voice call quality values to generate a plurality of regression results; determining an accuracy for each of the plurality of regression results; assigning weights to each of the plurality of regression results based on the determined accuracies; and combining the plurality of regression results using the assigned weights to generate a final combined estimated VoWiFi voice call quality algorithm that accurately predicts the voice call quality value based on values for the selected subset of the plurality of KPIs.

Abstract: A method, a device, and a non-transitory storage medium provide receiving a plurality of voice call quality values and values for a plurality key performance indicators (KPIs) related to voice over Wi-Fi voice call quality; selecting a subset of the plurality of KPIs based on a correlation between each KPI and the voice call quality value; performing a plurality of discrete regression analyses based on the subsets of the plurality of KPIs and the voice call quality values to generate a plurality of regression results; determining an accuracy for each of the plurality of regression results; assigning weights to each of the plurality of regression results based on the determined accuracies; and combining the plurality of regression results using the assigned weights to generate a final combined estimated VoWiFi voice call quality algorithm that accurately predicts the voice call quality value based on values for the selected subset of the plurality of KPIs.

Abstract: A method, a device, and a non-transitory storage medium provide receiving a plurality of voice call quality values and values for a plurality key performance indicators (KPIs) related to voice over Wi-Fi voice call quality; selecting a subset of the plurality of KPIs based on a correlation between each KPI and the voice call quality value; performing a plurality of discrete regression analyses based on the subsets of the plurality of KPIs and the voice call quality values to generate a plurality of regression results; determining an accuracy for each of the plurality of regression results; assigning weights to each of the plurality of regression results based on the determined accuracies; and combining the plurality of regression results using the assigned weights to generate a final combined estimated VoWiFi voice call quality algorithm that accurately predicts the voice call quality value based on values for the selected subset of the plurality of KPIs.

Abstract: A method, a device, and a non-transitory storage medium provide receiving a plurality of voice call quality values and values for a plurality key performance indicators (KPIs) related to voice over Wi-Fi voice call quality; selecting a subset of the plurality of KPIs based on a correlation between each KPI and the voice call quality value; performing a plurality of discrete regression analyses based on the subsets of the plurality of KPIs and the voice call quality values to generate a plurality of regression results; determining an accuracy for each of the plurality of regression results; assigning weights to each of the plurality of regression results based on the determined accuracies; and combining the plurality of regression results using the assigned weights to generate a final combined estimated VoWiFi voice call quality algorithm that accurately predicts the voice call quality value based on values for the selected subset of the plurality of KPIs.

Abstract: A micro radio-frequency connector includes an isolated body, a resilient terminal and an external terminal. The isolated body includes an accommodating slot and an inserting hole connected to the accommodating slot. The accommodating slot includes an upper inner wall and a lower inner wall opposite to each other. The resilient terminal is disposed inside the accommodating slot, and includes a fixing section, two resilient arms and a first contacting section. The fixing section is fixed to the accommodating slot. An end of the resilient arm is connected to the fixing section and contacts against the lower inner wall, the other end of the resilient arm is a free end to be separated from the lower inner wall while an external force is not applied to the first contacting section and further to contact against the lower inner wall while the external force is applied to the first contacting section.

Abstract: A micro radio-frequency connector includes an isolated body, a resilient terminal and an external terminal. The isolated body includes an accommodating slot and an inserting hole connected to the accommodating slot. The accommodating slot includes an upper inner wall and a lower inner wall opposite to each other. The resilient terminal is disposed inside the accommodating slot, and includes a fixing section, two resilient arms and a first contacting section. The fixing section is fixed to the accommodating slot. An end of the resilient arm is connected to the fixing section and contacts against the lower inner wall, the other end of the resilient arm is a free end to be separated from the lower inner wall while an external force is not applied to the first contacting section and further to contact against the lower inner wall while the external force is applied to the first contacting section.

Abstract: An application of 2,3-dihydro-3 hydroxymethyl-6-amino-[1,4]-benzoxazine in the preparation of drugs inducing embryonic stem cells to differentiate to vascular endothelial cells, wherein the concentration of the 2,3-dihydro-3 hydroxymethyl-6-amino-[1,4]-benzoxazine in the preparation of drugs effectively inducing mouse embryonic stem cells to differentiate to vascular endothelial cells is 1˜20 ?M. The 2,3-dihydro-3 hydroxymethyl-6-amino-[1,4]-benzoxazine provided by the invention lays foundation for preparing and developing drugs inducing embryonic stem cells to differentiate to vascular endothelial cells, can be used as an effective research tool of embryonic stem cells, and can be used for researching on embryonic stem cell differentiation and new molecular mechanisms of blood vessel formation.

Abstract: An application of 2,3-dihydro-3-hydroxymethyl-6-amino-[1,4]-benzoxazine in the preparation of drugs inducing embryonic stem cells to differentiate to vascular endothelial cells, wherein the concentration of the 2,3-dihydro-3-hydroxymethyl-6-amino-[1,4]-benzoxazine in the preparation of drugs effectively inducing mouse embryonic stem cells to differentiate to vascular endothelial cells is 1˜20 ?M. The 2,3-dihydro-3-hydroxymethyl-6-amino-[1,4]-benzoxazine provided by the invention lays foundation for preparing and developing drugs inducing embryonic stem cells to differentiate to vascular endothelial cells, can be used as an effective research tool of embryonic stem cells, and can be used for researching on embryonic stem cell differentiation and new molecular mechanisms of blood vessel formation.