Abstract: A packaged semiconductor chip includes a semiconductor sub strate having formed thereon: radio-frequency (RF) input and output contact pads, DC contact pads, and first and second amplifier stages. An input of the first amplifier stage is coupled with the RF input contact pad. An input and an output of the second amplifier stage are respectively coupled to an output of the first amplifier stage and the RF output contact pad. The DC contact pads and the input of the first amplifier stages are connected via an input bias coupling path. The outputs of the amplifier stages are connected via an output bias coupling path. The chip further includes a lead frame having RF input and output pins electrically coupled to the RF input and output contact pads, and input bias pins electrically coupled to the DC contact pad.

Abstract: Disclosed are a system and methods for analyzing business data. The system and methods may present users with a number of platforms that allow users to analyze aggregated business data, to view forecasts provided by the system, and to collaborate with other users. Analyzing business data may involve running queries and customizing visuals based on the business data, which may be aggregated in a comprehensive database or several databases. Forecasting may involve the use of linear regression lines that can be computed according to customized queries, visuals, and other user input. Further, users may collaborate over the system by sharing visuals, sharing queries, discussing hot topics, blogging, joining groups, and the like.

Abstract: Disclosed are a system and methods for analyzing business data. The system and methods may present users with a number of platforms that allow users to analyze aggregated business data, to view forecasts provided by the system, and to collaborate with other users. Analyzing business data may involve running queries and customizing visuals based on the business data, which may be aggregated in a comprehensive database or several databases. Forecasting may involve the use of linear regression lines that can be computed according to customized queries, visuals, and other user input. Further, users may collaborate over the system by sharing visuals, sharing queries, discussing hot topics, blogging, joining groups, and the like.