Abstract: Methods, computer-readable media, software, systems and apparatuses may retrieve, via a computing device and over a network, information related to one or more characteristics of a particular application or service deployed in a computing environment. The particular application or service may be associated with a class of applications or services based on the information. A type of personal data collected may be determined for each application or service in the associated class. For the particular application or service, a risk metric indicative of a type of personal data collected by the particular application or service in relation to the type of personal data collected by other applications or services in the associated class may be determined. An additional application or service with a lower risk than the particular application or service may be recommended.

Abstract: Methods, computer-readable media, software, systems and apparatuses may retrieve, via a computing device and over a network, information related to one or more characteristics of a particular application or service deployed in a computing environment. The particular application or service may be associated with a class of applications or services based on the information. A type of personal data collected may be determined for each application or service in the associated class. For the particular application or service, a risk metric indicative of a type of personal data collected by the particular application or service in relation to the type of personal data collected by other applications or services in the associated class may be determined. An additional application or service with a lower risk than the particular application or service may be recommended.

Abstract: Methods, computer-readable media, software, systems and apparatuses may retrieve, via a computing device and over a network, information related to one or more characteristics of a particular application or service deployed in a computing environment. The particular application or service may be associated with a class of applications or services based on the information. A type of personal data collected may be determined for each application or service in the associated class. For the particular application or service, a risk metric indicative of a type of personal data collected by the particular application or service in relation to the type of personal data collected by other applications or services in the associated class may be determined. An additional application or service with a lower risk than the particular application or service may be recommended.

Abstract: Methods, computer-readable media, software, systems and apparatuses may retrieve, via a computing device and over a network, information related to one or more characteristics of a particular application or service deployed in a computing environment. The particular application or service may be associated with a class of applications or services based on the information. A type of personal data collected may be determined for each application or service in the associated class. For the particular application or service, a risk metric indicative of a type of personal data collected by the particular application or service in relation to the type of personal data collected by other applications or services in the associated class may be determined. An additional application or service with a lower risk than the particular application or service may be recommended.

Abstract: Methods, computer-readable media, software, systems and apparatuses may retrieve, via a computing device and over a network, information related to one or more characteristics of a particular application or service deployed in a computing environment. The particular application or service may be associated with a class of applications or services based on the information. A type of personal data collected may be determined for each application or service in the associated class. For the particular application or service, a risk metric indicative of a type of personal data collected by the particular application or service in relation to the type of personal data collected by other applications or services in the associated class may be determined. An additional application or service with a lower risk than the particular application or service may be recommended.

Abstract: Methods, apparatus, systems and articles of manufacture to predict attitudes of consumers are disclosed. An example method includes obtaining purchasing behavior data associated with a consumer and obtaining product review data associated with a plurality of reviewers. The example method also includes identifying a set of reviewers from the plurality of reviewers based on a strength of relationship between each of the plurality of reviewers and the consumer. The example method further includes predicting, using a processor, an attitude of the consumer based on the product review data associated with the set of reviewers.

Abstract: A sterilizing device for sterilizing at least a portion of a medical instrument including a housing, a reservoir suitable for containing sterilizing agent, a delivery system for conducting the sterilizing agent from the reservoir to a permeable membrane, and a lock out system that blocks access to the permeable membrane when insufficient sterilizing agent is present in the reservoir. In preferred embodiments the delivery mechanism is activatable by pressure applied to the permeable membrane by the at least a portion of the medical instrument (e.g. a head of a stethoscope).

Abstract: A sterilizing device for sterilizing at least a portion of a medical instrument including a housing, a reservoir suitable for containing sterilizing agent, a delivery system for conducting the sterilizing agent from the reservoir to a permeable membrane, and a lock out system that blocks access to the permeable membrane when insufficient sterilizing agent is present in the reservoir. In preferred embodiments the delivery mechanism is activatable by pressure applied to the permeable membrane by the at least a portion of the medical instrument (e.g. a head of a stethoscope).

Abstract: A vehicle (30), such as an automobile, has an indicia controller (31) that can determine, via one or more direction-of-visual-attention sensors (32) a likely direction of visual attention for a given occupant of the vehicle such as, for example, the driver or another passenger. When a predetermined condition is sensed by one or more condition sensors (34, 35) (such as, for example, a predetermined hazard or other unsafe operating condition), the indicia controller can determine whether the monitored person is likely looking in a direction that likely includes the condition of concern. A particular condition indicia (36) as corresponds to the detected condition can then be provided as a function, at least in part, of whether the driver or other monitored person is already likely looking at, and is hence aware of, the detecting condition.

Abstract: A vehicle (30), such as an automobile, has an indicia controller (31) that can determine, via one or more direction-of-visual-attention sensors (32) a likely direction of visual attention for a given occupant of the vehicle such as, for example, the driver or another passenger. When a predetermined condition is sensed by one or more condition sensors (34, 35) (such as, for example, a predetermined hazard or other unsafe operating condition), the indicia controller can determine whether the monitored person is likely looking in a direction that likely includes the condition of concern. A particular condition indicia (36) as corresponds to the detected condition can then be provided as a function, at least in part, of whether the driver or other monitored person is already likely looking at, and is hence aware of, the detecting condition.