Abstract: Systems, methods, and devices for automated provisioning are disclosed herein. The system can include a memory including a user profile database having n-dimension attributes of a user. The system can include a user device and a source device. The system can include a server that can: generate and store a user profile in the user profile database and generate and store a characterization vector from the user profile. The server can identify a service for provisioning, receive updates to at least some of the attributes of the first user, and trigger regeneration of the characterization vector from the received inputs. The server can: regenerate the characterization vector, determine an efficacy of the provisioned services, and automatically identify a second service for provisioning for a second user based on the efficacy of the provisioned services to the first user.

Abstract: Systems, methods, and devices for automated provisioning are disclosed herein. The system can include a memory including a user profile database having n-dimension attributes of a user. The system can include a user device and a source device. The system can include a server that can: generate and store a user profile in the user profile database and generate and store a characterization vector from the user profile. The server can identify a service for provisioning, receive updates to at least some of the attributes of the first user, and trigger regeneration of the characterization vector from the received inputs. The server can: regenerate the characterization vector, determine an efficacy of the provisioned services, and automatically identify a second service for provisioning for a second user based on the efficacy of the provisioned services to the first user.

Abstract: Systems, methods, and devices for automated provisioning are disclosed herein. The system can include a memory including a user profile database having n-dimension attributes of a user. The system can include a user device and a source device. The system can include a server that can: generate and store a user profile in the user profile database and generate and store a characterization vector from the user profile. The server can identify a service for provisioning, receive updates to at least some of the attributes of the first user, and trigger regeneration of the characterization vector from the received inputs. The server can: regenerate the characterization vector, determine an efficacy of the provisioned services, and automatically identify a second service for provisioning for a second user based on the efficacy of the provisioned services to the first user.

Abstract: Systems, methods, and devices for automated provisioning are disclosed herein. The system can include a memory including a user profile database having n-dimension attributes of a user. The system can include a user device and a source device. The system can include a server that can: generate and store a user profile in the user profile database and generate and store a characterization vector from the user profile. The server can identify a service for provisioning, receive updates to at least some of the attributes of the first user, and trigger regeneration of the characterization vector from the received inputs. The server can: regenerate the characterization vector, determine an efficacy of the provisioned services, and automatically identify a second service for provisioning for a second user based on the efficacy of the provisioned services to the first user.

Abstract: Systems, methods, and devices for automated provisioning are disclosed herein. The system can include a memory including a user profile database having n-dimension attributes of a user. The system can include a user device and a source device. The system can include a server that can: generate and store a user profile in the user profile database and generate and store a characterization vector from the user profile. The server can identify a service for provisioning, receive updates to at least some of the attributes of the first user, and trigger regeneration of the characterization vector from the received inputs. The server can: regenerate the characterization vector, determine an efficacy of the provisioned services, and automatically identify a second service for provisioning for a second user based on the efficacy of the provisioned services to the first user.

Abstract: Systems, methods, and devices for automated provisioning are disclosed herein. The system can include a memory including a user profile database having n-dimension attributes of a user. The system can include a user device and a source device. The system can include a server that can: generate and store a user profile in the user profile database and generate and store a characterization vector from the user profile. The server can identify a service for provisioning, receive updates to at least some of the attributes of the first user, and trigger regeneration of the characterization vector from the received inputs. The server can: regenerate the characterization vector, determine an efficacy of the provisioned services, and automatically identify a second service for provisioning for a second user based on the efficacy of the provisioned services to the first user.

Abstract: Systems, methods, and devices for automated provisioning are disclosed herein. The system can include a memory including a user profile database having n-dimension attributes of a user. The system can include a user device and a source device. The system can include a server that can: generate and store a user profile in the user profile database and generate and store a characterization vector from the user profile. The server can identify a service for provisioning, receive updates to at least some of the attributes of the first user, and trigger regeneration of the characterization vector from the received inputs. The server can: regenerate the characterization vector, determine an efficacy of the provisioned services, and automatically identify a second service for provisioning for a second user based on the efficacy of the provisioned services to the first user.

Abstract: Systems, methods, and devices for automated provisioning are disclosed herein. The system can include a memory including a user profile database having n-dimension attributes of a user. The system can include a user device and a source device. The system can include a server that can: generate and store a user profile in the user profile database and generate and store a characterization vector from the user profile. The server can identify a service for provisioning, receive updates to at least some of the attributes of the first user, and trigger regeneration of the characterization vector from the received inputs. The server can: regenerate the characterization vector, determine an efficacy of the provisioned services, and automatically identify a second service for provisioning for a second user based on the efficacy of the provisioned services to the first user.

Abstract: Systems, methods, and devices for automated provisioning are disclosed herein. The system can include a memory including a user profile database having n-dimension attributes of a user. The system can include a user device and a source device. The system can include a server that can: generate and store a user profile in the user profile database and generate and store a characterization vector from the user profile. The server can identify a service for provisioning, receive updates to at least some of the attributes of the first user, and trigger regeneration of the characterization vector from the received inputs. The server can: regenerate the characterization vector, determine an efficacy of the provisioned services, and automatically identify a second service for provisioning for a second user based on the efficacy of the provisioned services to the first user.

Abstract: Systems, methods, and devices for automated provisioning are disclosed herein. The system can include a memory including a user profile database having n-dimension attributes of a user. The system can include a user device and a source device. The system can include a server that can: generate and store a user profile in the user profile database and generate and store a characterization vector from the user profile. The server can identify a service for provisioning, receive updates to at least some of the attributes of the first user, and trigger regeneration of the characterization vector from the received inputs. The server can: regenerate the characterization vector, determine an efficacy of the provisioned services, and automatically identify a second service for provisioning for a second user based on the efficacy of the provisioned services to the first user.

Abstract: Systems, methods, and devices for automated provisioning are disclosed herein. The system can include a memory including a user profile database having n-dimension attributes of a user. The system can include a user device and a source device. The system can include a server that can: generate and store a user profile in the user profile database and generate and store a characterization vector from the user profile. The server can identify a service for provisioning, receive updates to at least some of the attributes of the first user, and trigger regeneration of the characterization vector from the received inputs. The server can: regenerate the characterization vector, determine an efficacy of the provisioned services, and automatically identify a second service for provisioning for a second user based on the efficacy of the provisioned services to the first user.

Abstract: Systems, methods, and devices for automated provisioning are disclosed herein. The system can include a memory including a user profile database having n-dimension attributes of a user. The system can include a user device and a source device. The system can include a server that can: generate and store a user profile in the user profile database and generate and store a characterization vector from the user profile. The server can identify a service for provisioning, receive updates to at least some of the attributes of the first user, and trigger regeneration of the characterization vector from the received inputs. The server can: regenerate the characterization vector, determine an efficacy of the provisioned services, and automatically identify a second service for provisioning for a second user based on the efficacy of the provisioned services to the first user.

Abstract: There is provided a method for determining tumour metastatic potential using biomarkers of tumour metastasis comprising any two of carbonic anhydrase-9 (CAIX), vascular endothelial growth factor C (VEGF-C), ephrin A5 (EFNA5), eph receptor B2 (EPHB2), transforming growth factor beta 3 (TGF-?3), pyruvate dehydrogenase kinase isoenzyme-3 (PDK3), carbonic anhydrase-12 (CAXII), keratin 14 (KRT14), hypoxia inducible factor 1 alpha subunit (HIF-1?), and tenascin C (TNC). CAIX, VEGF-C, EFNA5, EPHB2, TGF-?3 or PDK3 may be indicators of moderate metastatic potential, while CAXII, KRT14, HIF-1?, or TNC may be indicators of high metastatic potential. The biomarkers may be used to assess malignancies or cancers having hypoxic regions, such as breast cancer.

Abstract: An exemplary inflatable leak diverter for collecting falling fluids. The invention may comprise one or more flexible, inflatable, generally tubular, circumferential inflation chambers of substantially identical dimensions superimposed upon each other and fixedly joined along their line of juncture, if applicable; a fluid-collecting well portion of the same general plane shape encompassed within the inner contours of multiple chambers; and drain located approximately in the center of the fluid-collecting well portion.

Abstract: There is provided a method for determining tumour metastatic potential using biomarkers of tumour metastasis comprising any two of carbonic anhydrase-9 (CAIX), vascular endothelial growth factor C (VEGF-C), ephrin A5 (EFNA5), eph receptor B2 (EPHB2), transforming growth factor beta 3 (TGF-?3), pyruvate dehydrogenase kinase isoenzyme-3 (PDK3), carbonic anhydrase-12 (CAXII), keratin 14 (KRT14), hypoxia inducible factor 1 alpha subunit (HIF-1?), and tenascin C (TNC). CAIX, VEGF-C, EFNA5, EPHB2, TGF-?3 or PDK3 may be indicators of moderate metastatic potential, while CAXII, KRT14, HIF-1?, or TNC may be indicators of high metastatic potential. The biomarkers may be used to assess malignancies or cancers having hypoxic regions, such as breast cancer.

Abstract: An exemplary inflatable leak diverter for collecting falling fluids. The invention may comprise one or more flexible, inflatable, generally tubular, circumferential inflation chambers of substantially identical dimensions superimposed upon each other and fixedly joined along their line of juncture, if applicable; a fluid-collecting well portion of the same general plane shape encompassed within the inner contours of said plurality of chambers; and drain located approximately in the center of the fluid-collecting well portion.

Abstract: There is provided a panel of biomarkers of tumour metastasis comprising any two of carbonic anhydrase-9 (CAIX), vascular endothelial growth factor C (VEGF-C), ephrin A5 (EFNA5), eph receptor B2 (EPHB2), transforming growth factor beta 3 (TGF-?3), pyruvate dehydrogenase kinase isoenzyme-3 (PDK3), carbonic anhydrase-12 (CAXII), keratin 14 (KRT14), hypoxia inducible factor 1 alpha subunit (HIF-1?), or tenascin C (TNC). CAIX, VEGF-C, EFNA5, EPHB2, TGF-?3 or PDK3 may be indicators of moderate metastatic potential, while CAXII, KRT14, HIF-1?, or TNC may be indicators of high metastatic potential. There is also provided a method of determining risk of tumour metastasis using the aforementioned biomarkers is also provided. The biomarkers may be used in diagnosis, prognosis, treatment selection, or to test putative therapeutics. The biomarkers may be used to assess malignancies or cancers having hypoxic regions, such as breast cancer.

Abstract: Scaling address space utilization in a multi-threaded, multi-processor computer, including attaching to process memory of an exporting process a region of virtual memory specified in a cross-memory descriptor; requesting, by an importing thread of an importing process having process memory, a lightweight attachment of the region of virtual memory to the process memory of the importing process for exclusive use by the importing thread; and lightweight attaching , by an operating system to the process memory of the importing process, the region of virtual memory for exclusive use by the importing thread.

Abstract: A method, system and computer program product for enhancing a telephone device to alert a user of the device when his/her presence is requested by another participant to a telecommunication occurring between the user on the device and other participants on other devices. The device is programmed with voice recognition capability, which the user is able to train to recognize specific key words or phrases originating from/during the telecommunication. When one of the specific key words or phases is spoken, the device provides an alert that informs/alerts the user that the word or phase was spoken. The user may then provide a reaction/response to that occurrence without having to listen in to the entire prior conversation.

Abstract: A shower assembly (10) including a shower head (11) to receive water from a cold water tap (12) and a hot water tap (13). Each of the taps (12, 13) has a tap body (20) within which there is located a flow restriction device (23). A further flow restriction device (33) is located downstream of the two flow restriction devices (23).