Business Objects Software Limited

Ecolab USA Inc.

Shanghai Huahong Grace Semiconductor Manufacturing Corporation

Jinming Zhang

Bing Li

Han Yu

Xin Lu

Chunyang Li

Zi Qin Li

Chunsen Chen

Qiurong Huang

Consumer and industrial 2-in-1 alkaline ware washing compositions providing both detergency and rinseability in a single cleaning composition are disclosed. Further benefits can be achieved with low levels of rinse aid surfactants in a rinse additive following the alkaline ware washing composition, including levels of rinse additive surfactant of about 500 ppm surfactant or less. Alkaline ware washing compositions and methods of using the same provide user-friendly, solid, ware washing compositions without the need for using a separate rinse aid composition.

Ware washing solution containing oxidized starch

The present disclosure provides an RFLDMOS device and a manufacturing method thereof, by an etching process of adding dielectric layers between the Faraday shielding covers, interconnection of the multiple layers of Faraday shielding covers is realized, solving the problem that a parasitic resistance of a Faraday shielding cover may easily cause a greater feedback capacitance and introduce nonlinearity at a high frequency. The feedback capacitance and linearity of the RFLDMOS device at a high frequency are improved, and the broadband performance of the RFLDMOS device is improved.

RFLDMOS device and manufacturing method thereof

Described herein is a technology for designing a dashboard. In some embodiments, first and second dashboards are provided. Conflict analysis on the first and second dashboard is performed. The conflicts are resolved if any conflicts are detected. The first and second dashboards are merged to form a merged dashboard if no conflicts are detected or after resolving the conflicts.

Dashboard collaborator

A user may provide input to search an existing visualization (e.g., bar chart, graph) of a dataset returned in response to database querying. A highlighted visualization may then provide additional insight into relationships within the dataset. The highlighting may comprise changes to the appearance (e.g., size, color, background) of visualization elements. The search and highlighting may be executed by a functional module in an application layer of a local client in communication with database on a remote server. A search engine of the functional module may perform searching of dimension names, dimension values, and measure names within the dataset, identifying particular elements of the data set that are relevant to a search term (e.g., 'q1'). Based upon recognition of relevant dataset data, a visualization engine may highlight particular elements of the visualization (e.g., changing an appearance of vertical bars showing first quarter revenue relative to vertical bars for other quarters).

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Shanghai, China

Jinming Zhang