Abstract: Disclosed are various approaches for determining the maximum oxygen consumption of a person, also known as maximum aerobic capacity or VO2 Max. A person is positioned on a treadmill. Attached to the person is a harness configured to apply a horizontal force to the person. A work rate for the person can be calculated based at least in part on the magnitude of the horizontal force applied by the harness and the velocity of the belt. The maximum oxygen consumption for the person can then be calculated based at least in part on the previously calculated work rate.

Abstract: Disclosed are various approaches for determining the maximum oxygen consumption of a person, also known as maximum aerobic capacity or VO2 Max. A person is positioned on a treadmill. Attached to the person is a harness configured to apply a horizontal force to the person. A work rate for the person can be calculated based at least in part on the magnitude of the horizontal force applied by the harness and the velocity of the belt. The maximum oxygen consumption for the person can then be calculated based at least in part on the previously calculated work rate.

Abstract: A method of reciprocally publishing and matching data files is disclosed. The method includes facilitating the creation of Category A and Category B data files having a respective sets of characteristics defined utilizing a common language architecture, associating enhancement objects with each data file, identifying characteristics in each data file which must be met by other data files, weighting characteristics in each data file differently from other characteristics in the same data file, enabling the selection of participation levels for each data file in marketspaces, and matching Category A data files participating in particular marketspaces to Category B data files participating in the same marketspaces using the common language architecture, the enhancement objects, the weights and the required characteristics.

Abstract: A method of reciprocally publishing and matching data files is disclosed. The method includes facilitating the creation of Category A and Category B data files having a respective sets of characteristics defined utilizing a common language architecture, associating enhancement objects with each data file, identifying characteristics in each data file which must be met by other data files, weighting characteristics in each data file differently from other characteristics in the same data file, enabling the selection of participation levels for each data file in marketspaces, and matching Category A data files participating in particular marketspaces to Category B data files participating in the same marketspaces using the common language architecture, the enhancement objects, the weights and the required characteristics.

Abstract: A method of reciprocally publishing and matching data files is disclosed. The method includes facilitating the creation of Category A and Category B data files having a respective sets of characteristics defined utilizing a common language architecture, associating enhancement objects with each data file, identifying characteristics in each data file which must be met by other data files, weighting characteristics in each data file differently from other characteristics in the same data file, enabling the selection of participation levels for each data file in marketspaces, and matching Category A data files participating in particular marketspaces to Category B data files participating in the same marketspaces using the common language architecture, the enhancement objects, the weights and the required characteristics.

Abstract: A method of reciprocally publishing and matching data files is disclosed. The method includes facilitating the creation of Category A and Category B data files having a respective sets of characteristics defined utilizing a common language architecture, associating enhancement objects with each data file, identifying characteristics in each data file which must be met by other data files, weighting characteristics in each data file differently from other characteristics in the same data file, enabling the selection of participation levels for each data file in marketspaces, and matching Category A data files participating in particular marketspaces to Category B data files participating in the same marketspaces using the common language architecture, the enhancement objects, the weights and the required characteristics.

Abstract: A method of reciprocally publishing and matching data files is disclosed. The method includes facilitating the creation of Category A and Category B data files having a respective sets of characteristics defined utilizing a common language architecture, associating enhancement objects with each data file, identifying characteristics in each data file which must be met by other data files, weighting characteristics in each data file differently from other characteristics in the same data file, enabling the selection of participation levels for each data file in marketspaces, and matching Category A data files participating in particular marketspaces to Category B data files participating in the same marketspaces using the common language architecture, the enhancement objects, the weights and the required characteristics.

Abstract: A method of reciprocally publishing and matching data files is disclosed. The method includes facilitating the creation of Category A and Category B data files having a respective sets of characteristics defined utilizing a common language architecture, associating enhancement objects with each data file, identifying characteristics in each data file which must be met by other data files, weighting characteristics in each data file differently from other characteristics in the same data file, enabling the selection of participation levels for each data file in marketspaces, and matching Category A data files participating in particular marketspaces to Category B data files participating in the same marketspaces using the common language architecture, the enhancement objects, the weights and the required characteristics.