Abstract: An replacement for a human includes a body having a superior surface, an inferior surface, a distal surface, and a proximal surface. The proximal surface is configured to engage the talus and the calcaneus of an adult human, and the distal surface configured to engage at least the first and fourth metatarsals of the adult human. The distal surface has a largest distal height and a largest distal width that is greater than the largest distal height, and the proximal surface has a largest proximal height and a largest proximal width that is greater than the largest proximal height.

Abstract: A method of implanting a midfoot replacement in an adult human foot comprising includes removing at least a portion of at least one midfoot bone from the adult human foot. The method also includes inserting a midfoot replacement into the adult human foot such that a proximal side of the midfoot replacement engages at least one of a calcaneus and a talus of the adult human foot, and a distal side of the midfoot replacement engages at least one of a first metatarsal and a fourth metatarsal of the adult human foot.

Abstract: An implant for a human includes a body having a superior surface, an inferior surface, a distal surface, and a proximal surface. The proximal surface is configured to engage the talus and the calcaneus of an adult human, and the distal surface configured to engage at least the first and fourth metatarsals of the adult human. The distal surface has a largest distal height and a largest distal width that is greater than the largest distal height, and the proximal surface has a largest proximal height and a largest proximal width that is greater than the largest proximal height.

Abstract: Methods, systems, apparatus, and non-transitory computer readable media are described for detecting system outages using application event logs. Various aspects may include obtaining several prior application event logs where the status of the system is known at the time the application event logs were recorded. Additionally, various aspects may include determining characteristics of prior application event logs which were recorded during a system outage, and/or determining characteristics of prior application event logs which were recorded while the system was available. When current application event logs are obtained where the status of the system is unknown at the time the current application event logs are recorded, various aspects include comparing the current application event logs to the prior application event logs to determine that a system outage has occurred based upon the comparison.

Abstract: An implant for a human includes a body having a superior surface, an inferior surface, a distal surface, and a proximal surface. The proximal surface is configured to engage the talus and the calcaneus of an adult human, and the distal surface configured to engage at least the first and fourth metatarsals of the adult human. The distal surface has a largest distal height and a largest distal width that is greater than the largest distal height, and the proximal surface has a largest proximal height and a largest proximal width that is greater than the largest proximal height.

Abstract: Methods, systems, apparatus, and non-transitory computer readable media are described for detecting system outages using application event logs. Various aspects may include obtaining several prior application event logs where the status of the system is known at the time the application event logs were recorded. Additionally, various aspects may include determining characteristics of prior application event logs which were recorded during a system outage, and/or determining characteristics of prior application event logs which were recorded while the system was available. When current application event logs are obtained where the status of the system is unknown at the time the current application event logs are recorded, various aspects include comparing the current application event logs to the prior application event logs to determine that a system outage has occurred based upon the comparison.

Abstract: Methods, systems, apparatus, and non-transitory computer readable media are described for detecting system outages using application event logs. Various aspects may include obtaining several prior application event logs where the status of the system is known at the time the application event logs were recorded. Additionally, various aspects may include determining characteristics of prior application event logs which were recorded during a system outage, and/or determining characteristics of prior application event logs which were recorded while the system was available. When current application event logs are obtained where the status of the system is unknown at the time the current application event logs are recorded, various aspects include comparing the current application event logs to the prior application event logs to determine that a system outage has occurred based upon the comparison.

Abstract: Methods, systems, apparatus, and non-transitory computer readable media are described for detecting system outages using application event logs. Various aspects may include obtaining several application event logs where the status of the system is known at the time the application event logs were recorded. Additionally, various aspects may include determining characteristics of application event logs which were recorded during a system outage, and/or determining characteristics of application event logs which were recorded while the system was available. Based upon the characteristics, various aspects include training using various machine learning techniques. When current application event logs are obtained where the status of the system is unknown at the time the current application event logs are recorded, various aspects include using the training data to determine a likelihood that a system outage has occurred based upon the obtained current application event logs.