Abstract: One embodiment of the present invention provides a system that facilitates software installation using embedded user credentials. The system receives a software installation package at a computer to be installed on the computer. The system then extracts an installation program from the software installation package. Next, the system determines if the current user has sufficient privileges to run the installation program. If not, the system recovers a set of user credentials from the software installation package that is associated with sufficient privileges to run the installation program. The system then authenticates to the computer using this set of user credentials. Finally, the system runs the installation program on the computer.

Abstract: One embodiment of the present invention provides a system to facilitate cross-domain push deployment of software in an enterprise environment. The system operates by receiving a machine name and a domain name associated with a client at a server. Next, the system creates an entry in a database, which associates the machine name with the domain name. This entry establishes what software to deploy to the client. The system then accepts a user name and a password from the server administrator to gain access to the client. The system authenticates the server to the client using the user name and password. After authenticating the server to the client, the system pushes the software package to the client.

Abstract: One embodiment of the present invention provides a system to facilitate software management by applying network address-sorting rules on a hierarchical directory structure. The system operates by creating a hierarchical directory structure that reflects the logical coupling among computers within an enterprise. This hierarchical directory structure is sorted based on network addresses of the constituent computers of the enterprise. The system establishes a software policy at the root level of the hierarchical directory structure. Individual computers within the enterprise inherit the software policy from the root level of the hierarchical directory structure.

Abstract: One embodiment of the present invention provides a system that facilitates software installation using embedded user credentials. The system receives a software installation package at a computer to be installed on the computer. The system then extracts an installation program from the software installation package. Next, the system determines if the current user has sufficient privileges to run the installation program. If not, the system recovers a set of user credentials from the software installation package that is associated with sufficient privileges to run the installation program. The system then authenticates to the computer using this set of user credentials. Finally, the system runs the installation program on the computer.

Abstract: One embodiment of the present invention provides a system to facilitate cross-domain push deployment of software in an enterprise environment. The system operates by receiving a machine name and a domain name associated with a client at a server. Next, the system creates an entry in a database, which associates the machine name with the domain name. This entry establishes what software to deploy to the client. The system then accepts a user name and a password from the server administrator to gain access to the client. The system authenticates the server to the client using the user name and password. After authenticating the server to the client, the system pushes the software package to the client.

Abstract: One embodiment of the present invention provides a system to facilitate software management by applying network address-sorting rules on a hierarchical directory structure. The system operates by creating a hierarchical directory structure that reflects the logical coupling among computers within an enterprise. This hierarchical directory structure is sorted based on network addresses of the constituent computers of the enterprise. The system establishes a software policy at the root level of the hierarchical directory structure. Individual computers within the enterprise inherit the software policy from the root level of the hierarchical directory structure.

Abstract: A method for screening individuals at risk for prostate cancer progression is disclosed. The method is useful for evaluating cells from patients at risk for recurrence of prostate cancer following surgery for prostate cancer. Specifically, the method uses specific Markovian nuclear texture factors, alone or in combination with other biomarkers, to determine whether the cancer will progress or lose organ confinement. In addition, methods of predicting the development of fatal metastatic disease by statistical analysis of selected biomarkers is also disclosed. The invention also contemplates a method that uses a neural network to analyze and interpret cell morphology data. Utilizing Markovian factors and other biomarkers as parameters, the network is first trained with a sets of cell data from known progressors and known non-progressors. The trained network is then used to predict prostate cancer progression in patient samples.

Abstract: A method for screening individuals at risk for the loss of organ confinement in prostate cancer is disclosed. The method is useful for evaluating cells from patients at risk for recurrence of prostate cancer following surgery for prostate cancer. Specifically, the method uses specific Markovian nuclear texture features, alone or in combination with other biomarkers, to determine whether the cancer will progress or lose organ confinement. In addition, methods of predicting the development of fatal metastatic disease by statistical analysis of selected biomarkers is also disclosed. The invention also contemplates a method that uses a neural network to analyze and interpret cell morphology data. Utilizing Markovian factors and other biomarkers as parameters, the network is first trained with a sets of cell data from known progressors and known non-progressors. The trained network is then used to predict the loss of organ confinement by evaluating patient samples.