Abstract: There is provided the apparatus comprising: at least one processor; and at least one memory comprising computer code that, when executed by the at least one processor, causes the apparatus to: identify a potential problem in a network comprising at least one network automation function; signal an indication of said potential problem to at least one network automation function of said network and a request for a proposal to address said problem; receive at least one proposal in response to said signalling; determine policy changes for addressing said potential problem in dependence on said at least one proposal; and implement said policy changes.

Abstract: A patient monitoring system includes an electroencephalography (EEG) monitor and an EEG sensor array. The EEG sensor array includes a plurality of electrodes configured to acquire EEG signals from a patient. The EEG monitor may be configured to calculate one or more depth of anesthesia indices for the patient based on received EEG signals from the EEG sensor array. Additionally, the EEG monitor may be configured to generate and display a topographic color map of the calculated depth of anesthesia indices.

Abstract: A patient monitoring system includes an electroencephalography (EEG) monitor and an EEG sensor array. The EEG sensor array includes a plurality of electrodes configured to acquire EEG signals from a patient. The EEG monitor may be configured to calculate one or more depth of anesthesia indices for the patient based on received EEG signals from the EEG sensor array. Additionally, the EEG monitor may be configured to generate and display a topographic color map of the calculated depth of anesthesia indices.

Abstract: A patient monitoring system includes an electroencephalography (EEG) monitor and an EEG sensor array. The EEG sensor array includes a plurality of electrodes configured to acquire EEG signals from a patient. The EEG monitor may be configured to calculate one or more depth of anesthesia indices for the patient based on received EEG signals from the EEG sensor array. Additionally, the EEG monitor may be configured to generate and display a topographic color map of the calculated depth of anesthesia indices.

Abstract: A patient monitoring system includes an electroencephalography (EEG) monitor and an EEG sensor array. The EEG sensor array includes a plurality of electrodes configured to acquire EEG signals from a patient. The EEG monitor may be configured to calculate one or more depth of anesthesia indices for the patient based on received EEG signals from the EEG sensor array. Additionally, the EEG monitor may be configured to generate and display a topographic color map of the calculated depth of anesthesia indices.

Abstract: A network device, system, and method are directed towards enabling list content to be displayed at mobile devices having different memory page size constraints. When a mobile device requests list content, a type of mobile device is determined. This may then be used to determine a page size weight classification for the mobile device. The requested list content may then be compared against the page size weight classification, and if it exceeds the page size weight classification, the list content may be tailored. In one embodiment, the list content may be tailored by segmenting the list content into multiple segments, each segment may be coupled with <next> and/or <previous> links. Different list content types may employ different list splitting sizes for display. For example, display of movie lists may display a different number of items within the list content than, for example, an email list of messages, or the like.

Abstract: A network device, system, and method are directed towards enabling list content to be displayed at mobile devices having different memory page size constraints. When a mobile device requests list content, a type of mobile device is determined. This may then be used to determine a page size weight classification for the mobile device. The requested list content may then be compared against the page size weight classification, and if it exceeds the page size weight classification, the list content may be tailored. In one embodiment, the list content may be tailored by segmenting the list content into multiple segments, each segment may be coupled with <next> and/or <previous> links. Different list content types may employ different list splitting sizes for display. For example, display of movie lists may display a different number of items within the list content than, for example, an email list of messages, or the like.