Abstract: A sweat grip comprising a main body with a sweat-absorbent side and a grip side with a higher coefficient of friction than the sweat-absorbent side and having antimicrobial properties. The sweat grip can be wrapped around an object such as the handle of an exercise machine, such that the sweat grip can enhance a user's grip on the object and can at least partially absorb the user's sweat without transferring sweat to the object.

Abstract: A sweat grip comprising a main body with a sweat-absorbent side and a grip side with a higher coefficient of friction than the sweat-absorbent side and having antimicrobial properties. The sweat grip can be wrapped around an object such as the handle of an exercise machine, such that the sweat grip can enhance a user's grip on the object and can at least partially absorb the user's sweat without transferring sweat to the object.

Abstract: A sweat grip comprising a main body with a sweat-absorbent side and a grip side with a higher coefficient of friction than the sweat-absorbent side. The sweat grip can be wrapped around an object such as the handle of an exercise machine, such that the sweat grip can enhance a user's grip on the object and can at least partially absorb the user's sweat without transferring sweat to the object.

Abstract: A semantic approach to intrusion detection is provided that can utilize traditional as well as nontraditional data sources collaboratively. The information extracted from these traditional and nontraditional data sources is expressed in an ontology, and reasoning logic rules that correlate at least two separate and/or distinct data sources are used to analyze the extracted information in order to identify the situation or context in which an attack can occur. By utilizing reasoning logic rules that contain rules that correlate at least two separate and/or distinct data sources, a threat or attack can be determined using data that is spatially (e.g., geographically) and temporally separated, resulting in a context aware IDPS that can relate disparate activities spread across time and multiple systems as part of the same attack.