Abstract: A computer-implemented method for identifying and tracking application performance incidents may include (1) receiving, by an incident tracking system, data representative of a time series, the time series including a time-ordered plurality of values of a performance metric associated with a program, (2) identifying, by the incident tracking system, a discontinuity in the time series, (3) associating, by the incident tracking system, the identified discontinuity in the time series with a change in source code associated with the program, and (4) executing, by the incident tracking system, an automated action based on the association of the identified discontinuity with the change in the source code. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A system for moving merchandize from a warehouse to a vehicle is described herein. The system includes a movable conveyor belt system configured to move on a plurality of rollers in a two degrees of freedom, and one or more lift systems attached to the movable conveyor belt system. The system also includes one or more configurable panels mounted to the movable conveyor belt system via the one or more lift systems, the one or more configurable panels being configured to hold merchandize to be lifted by the one or more lift systems.

Abstract: A system for moving merchandize from a warehouse to a vehicle is described herein. The system includes a movable conveyor belt system configured to move on a plurality of rollers in a two degrees of freedom, and one or more lift systems attached to the movable conveyor belt system. The system also includes one or more configurable panels mounted to the movable conveyor belt system via the one or more lift systems, the one or more configurable panels being configured to hold merchandize to be lifted by the one or more lift systems.

Abstract: A computer-implemented method for identifying and tracking application performance incidents may include (1) receiving, by an incident tracking system, data representative of a time series, the time series including a time-ordered plurality of values of a performance metric associated with a program, (2) identifying, by the incident tracking system, a discontinuity in the time series, (3) associating, by the incident tracking system, the identified discontinuity in the time series with a change in source code associated with the program, and (4) executing, by the incident tracking system, an automated action based on the association of the identified discontinuity with the change in the source code. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: Fuel pellets which include substantial amounts of agricultural biomass having a relatively low lignin content are provided. The fuel pellets have a low ash content, good pellet durability (e.g., as determined by their pellet durability index) and heating values comparable to conventional hardwood fuel pellets. The fuel pellet may be formed by pelleting a mixture comprising agricultural biomass which includes whole corn, corn cobs, corn stover, wheat, wheat middlings, wheat straw, soy beans, soy bean hulls, soy cotyledon fiber, alfalfa, dried distillers grain, oats, oat straw, sugar beet pulp and/or sunflower hulls. Other suitable agricultural biomass materials which may be used to form the fuel pellets include co-products from corn milling processes (e.g. corn gluten feed, white fiber), oat hulls, rice hulls, rapeseed meal, rapeseed fractions, bagasse, ground barley, cottonseed hulls, whole cottonseed, ground milo, oatmeal, oat flour, rye, broken rice and empty palm fruit bundles.