Abstract: An apparatus and method for assisting and educating patient mobility and recovery are disclosed. In one embodiment, wearable garments, such as socks, include at least one visual indicator to instruct and educate patients to ensure that the proper foot is used for mobility and recovery. The wearable garments includes a number of visual indicators to aid with instruction and education even for patients with visual impairments. The wearable garments additionally includes a non-skid bottom surface for preventing slips.

Abstract: An apparatus and method for assisting and educating patient mobility and recovery are disclosed. In one embodiment, wearable garments, such as socks, include at least one visual indicator to instruct and educate patients to ensure that the proper foot is used for mobility and recovery. The wearable garments includes a number of visual indicators to aid with instruction and education even for patients with visual impairments. The wearable garments additionally includes a non-skid bottom surface for preventing slips.

Abstract: In an example embodiment, a definition is loaded into a client application for execution on a user device. Then, one or more classes defined in a central repository database of a server are loaded into the client application. It may then be determined that one or more custom classes not defined in the central repository database are contained in the definition. The one or more custom classes may be validated by ensuring that they contain one or more preset functions. The one or more custom classes may then be loaded into the client application, thereby overriding or extending at least one of the one or more classes defined in the central repository database.

Abstract: A qualitative resource assignment wizard receives qualitative information for a logical partition (LPAR) and calculates computer resource assignments for the LPAR based on the qualitative information and a set of conversion functions. For example, the qualitative resource assignment wizard may calculate a processing unit assignment, a memory assignment, and an I/O slot assignment for the LPAR. The qualitative information may be input by a user, for example, utilizing a graphical user interface (GUI). In one embodiment, the conversion functions are calculated during a training phase, in which a user periodically provides qualitative information while resource usage data is gathered. The wizard may reside in a hardware management console (HMC) or other administrative console and/or may be a component of a hypervisor or other partition management code.

Abstract: In an example embodiment, a definition is loaded into a client application for execution on a user device. Then, one or more classes defined in a central repository database of a server are loaded into the client application. It may then be determined that one or more custom classes not defined in the central repository database are contained in the definition. The one or more custom classes may be validated by ensuring that they contain one or more preset functions. The one or more custom classes may then be loaded into the client application, thereby overriding or extending at least one of the one or more classes defined in the central repository database.

Abstract: Methods and apparatus associate a computed difference factor to avatars that are to interact with one another in a simulated environment. Applying a difference factor to the avatars enables identification of similar avatars in order to avoid mistaken identities among the avatars. The difference factor predicts probability that one avatar is mimicking another avatar. An attribute uniqueness algorithm may assign the difference factor based on name, appearance, and/or accessory similarity between two avatars. A user index may be used to store data describing attributes of each avatar for analysis using programs that are stored in memory and that execute the attribute uniqueness algorithm. Further, system validation of each avatar provides ability to protect and control likeness of the avatars in the virtual world.

Abstract: A qualitative resource assignment wizard receives qualitative information for a logical partition (LPAR) and calculates computer resource assignments for the LPAR based on the qualitative information and a set of conversion functions. For example, the qualitative resource assignment wizard may calculate a processing unit assignment, a memory assignment, and an I/O slot assignment for the LPAR. The qualitative information may be input by a user, for example, utilizing a graphical user interface (GUI). In one embodiment, the conversion functions are calculated during a training phase, in which a user periodically provides qualitative information while resource usage data is gathered. The wizard may reside in a hardware management console (HMC) or other administrative console and/or may be a component of a hypervisor or other partition management code.

Abstract: As needs of a computer system grow, further logically-partitioned computer systems may be added to allow for more partitions to be created. When new partitions are added, or when an entire computing environment analysis is commenced, it may be discovered that better system efficiency may be had if the resources or computational work in a first partition in a first computer is moved to a second partition in the first computer. It is also may be determined that better system efficiency may be had if the resources or computational work in the first partition in the first computer is moved to a third partition in a second computer.

Abstract: A method of reallocating memory to a hypervisor in a virtualized computing system, includes: assigning priorities to a plurality of logical partitions configured within the virtualized computing system; determining a memory requirement for the hypervisor, the hypervisor configured to manage the plurality of logical partitions; determining minimum levels of memory required for each of the plurality of logical partitions; determining the amount of available memory in the virtualized computing system; and in the event that the amount of available memory is less than the determined memory requirement of the hypervisor, removing portions of memory from one or more of the plurality of logical partitions based on the assigned priorities until the determined memory requirement for the hypervisor is obtained.

Abstract: Methods and apparatus associate a computed difference factor to avatars that are to interact with one another in a simulated environment. Applying a difference factor to the avatars enables identification of similar avatars in order to avoid mistaken identities among the avatars. The difference factor predicts probability that one avatar is mimicking another avatar. An attribute uniqueness algorithm may assign the difference factor based on name, appearance, and/or accessory similarity between two avatars. A user index may be used to store data describing attributes of each avatar for analysis using programs that are stored in memory and that execute the attribute uniqueness algorithm. Further, system validation of each avatar provides ability to protect and control likeness of the avatars in the virtual world.

Abstract: A method of reallocating memory to a hypervisor in a virtualized computing system, includes: assigning priorities to a plurality of logical partitions configured within the virtualized computing system; determining a memory requirement for the hypervisor, the hypervisor configured to manage the plurality of logical partitions; determining minimum levels of memory required for each of the plurality of logical partitions; determining the amount of available memory in the virtualized computing system; and in the event that the amount of available memory is less than the determined memory requirement of the hypervisor, removing portions of memory from one or more of the plurality of logical partitions based on the assigned priorities until the determined memory requirement for the hypervisor is obtained.