Abstract: A device includes a first semiconductor fin extending from a substrate, a second semiconductor fin extending from the substrate, a dielectric fin over the substrate, a first isolation region between the first semiconductor fin and the dielectric fin, and a second isolation region between the first semiconductor fin and the second semiconductor fin. The first semiconductor fin is disposed between the second semiconductor fin and the dielectric fin. The first isolation region has a first concentration of an impurity. The second isolation region has a second concentration of the impurity. The second concentration is less than the first concentration. A top surface of the second isolation region is disposed closer to the substrate than a top surface of the first isolation region.

Abstract: A method includes forming a first plurality of fins in a first region of a substrate, a first recess being interposed between adjacent fins in the first region of the substrate, the first recess having a first depth and a first width, forming a second plurality of fins in a second region of the substrate, a second recess being interposed between adjacent fins in the second region of the substrate, the second recess having a second depth and a second width, the second width of the second recess being less than the first width of the first recess, the second depth of the second recess being less than the first depth of the first recess, forming a first dielectric layer in the first recess and the second recess, and converting the first dielectric layer in the first recess and the second recess to a treated dielectric layer.

Abstract: A package includes a substrate having a conductive layer, and the conductive layer comprises an exposed portion. A die stack is disposed over the substrate and electrically connected to the conductive layer. A high thermal conductivity material is disposed over the substrate and contacting the exposed portion of the conductive layer. The package further includes a contour ring over and contacting the high thermal conductivity material.

Abstract: A method and a system for mental index prediction are provided. The method includes the following steps. A plurality of images of a subject person are obtained. A plurality of emotion tags of the subject person in the images are analyzed. A plurality of integrated emotion tags in a plurality of predetermined time periods are calculated according to the emotion tags respectively corresponding to the images. A plurality of preferred features are determined according to the integrated emotion tags. A mental index prediction model is established according to the preferred features to predict a mental index according to the emotional index prediction model.

Abstract: A method and a device for predicting sports performance, and a computer readable storage medium are provided. The method includes: collecting motion data of a user in a process of the user performing a specific action through a wearable device; and in response to determining that the motion data conforms to action characteristics of the specific action, predicting at least one sports performance of the user performing at least one other action based on the motion data.

Abstract: The present invention discloses a method for determining a maximum value of a heart rate data of a user performing a physical activity. Acquire first heart rate data in a first duration of the physical activity performed by the user. Acquire motion data in the first duration of the physical activity performed by the user. Calculate second heart rate data based on the motion data in the first duration of the physical activity performed by the user by a mathematical model and estimate the maximum value of the heart rate data of the user based on a comparison between the first first heart rate data and the second heart rate data.

Abstract: The present invention discloses a method for determining a maximum value of a heart activity parameter of a user performing a physical activity. Acquire first heart activity data in a first duration of the physical activity performed by the user. Acquire motion data in the first duration of the physical activity performed by the user. Calculate second heart activity data based on the motion data in the first duration of the physical activity performed by the user by a mathematical model and estimate the maximum value of the heart activity parameter of the user based on a comparison between the first heart activity data and the second heart activity data.

Abstract: The present invention discloses a method for determining an injury risk of a user who has performed an exercise training for a first duration. Divide the first duration into a plurality of time segments. Determine the training load in each of the plurality of time segments. A first portion of the training load is above a threshold of an exercise intensity adjusted according to a fitness condition of the user. Perform an algorithm to determine an indication mode representing a training condition of the exercise training of the user in the first duration based on the training load. Determine a criterion of the injury risk based on the first portion of the training load and the algorithm. Determine the injury risk of the user based on a comparison between the indication mode and the criterion of the injury risk.