Abstract: A light-emitting element includes a semiconductor light-emitting stack including a first semiconductor layer, a second semiconductor layer formed on the first semiconductor layer, and an active layer formed therebetween; a first conductive layer disposed on the second semiconductor layer and electrically connecting the second semiconductor layer; a second conductive layer disposed on the second semiconductor layer and electrically connecting the first semiconductor layer; and a cushion part disposed on and directly contacts the first conductive layer, wherein in a top view, the cushion part is surrounded by and electrically isolated from the second conductive layer.

Abstract: A package structure and a method of forming the same are provided. The package structure includes a first die, a second die, a first encapsulant, and a buffer layer. The first die and the second die are disposed side by side. The first encapsulant encapsulates the first die and the second die. The second die includes a die stack encapsulated by a second encapsulant encapsulating a die stack. The buffer layer is disposed between the first encapsulant and the second encapsulant and covers at least a sidewall of the second die and disposed between the first encapsulant and the second encapsulant. The buffer layer has a Young's modulus less than a Young's modulus of the first encapsulant and a Young's modulus of the second encapsulant.

Abstract: An automated website data collection method uses a hybrid web crawler strategy to obtain a probability distribution of a webpage tag of a webpage of a website to obtains an important feature of the website, and then extracts a text content of important features of the website, and forms a seed vocabulary data set using a composite semantic model. A thematic vocabulary data set having high frequency and highly representative hierarchical structure is further generated by the seed vocabulary data set, and the thematic vocabulary data can be further presented by the visualized system to show the hierarchical structure of thematic vocabulary data set.