Abstract: Examples of multi-layer bandages and methods for dressing a wound are described. An example multi-layer bandage includes a first layer and second layer and an optional third layer. An exemplary method for dressing a wound may include applying a bandage having a top layer, a middle layer, and a bottom layer to a wound with the bottom layer being provided in contact with the wound, wherein the top layer includes an adhesive for securing the bandage to a surface near the would, and where the bottom layer includes copper; and allowing the bandage to remain over the would for a predetermined period of time. In some examples, the method may further include removing the bottom layer without removing the top and middle layers. In other examples, the method may include removing the bandage when the middle layer or the bottom layer change in color.

Abstract: Examples of metal air batteries are described which may include an anode, provided in contact with an electrolyte, a porous matrix provided adjacent to the electrolyte, and a gas-permeable polymer membrane disposed on an exterior surface of the porous matrix. The gas-permeable membrane may be configured to allow a selected gas to pass through the membrane while preventing selected other gases or liquids from passing through the membrane. Methods according to examples described herein may include providing a metal anode in contact with an electrolyte, providing a porous cathode adjacent to the electrolyte, and enclosing an exterior portion of the porous cathode with a selectively permeable membrane, such that in use, oxygen may be allowed to pass through the gas-permeable membrane in a direction from the cathode to the anode, while water is prevented from passing through the gas-permeable membrane to prevent leakage and/or evaporation of the battery electrolyte.

Abstract: In certain example embodiments of this invention, there is provided systems and/or methods for processing BAM-related data to predict when events of interest are about to happen and/or to identify the root causes of, or at least data correlated with, such events of interest. In certain example embodiments, key performance indicators (KPIs) are gathered and gardened. The gardening process may identify KPI values of interest (e.g., based on a Z-factor analysis thereof across one or more collection intervals). The gardened KPIs may be processed using a time-series transform (e.g., a Fast Fourier Transform), matched to one of a plurality of predefined waveforms, and fed into a dynamic Naïve Bayesian Network (NBN) for prediction. The gardened data also may be used to determine the relevance of the KPI for root causes of problems (e.g., based on a chi-square analysis).

Abstract: Cups, a cup holding system, and methods for assembling a cup are disclosed. In a described example, a cup includes a handle, a perforated edge having a plurality of perforations, and a folded edge configured to extend from an end of the handle to an end of the perforated edge. A tear tab is attached to the perforated edge and configured to be separated from the perforated edge. At least one crease extends from the end of the handle to the perforated edge. In another described example, a method includes applying adhesive to a foldable material, folding the foldable material over an axis, and generating at least one crease in the foldable material. An edge of the foldable material is perforated.

Abstract: In certain example embodiments of this invention, there is provided systems and/or methods for processing BAM-related data to predict when events of interest are about to happen and/or to identify the root causes of, or at least data correlated with, such events of interest. In certain example embodiments, key performance indicators (KPIs) are gathered and gardened. The gardening process may identify KPI values of interest (e.g., based on a Z-factor analysis thereof across one or more collection intervals). The gardened KPIs may be processed using a time-series transform (e.g., a Fast Fourier Transform), matched to one of a plurality of predefined waveforms, and fed into a dynamic Naïve Bayesian Network (NBN) for prediction. The gardened data also may be used to determine the relevance of the KPI for root causes of problems (e.g., based on a chi-square analysis).

Abstract: An apparatus to convert motion in the external environment into direct current electricity, comprising a round, pancake style, compressed canister, consisting of two round opposing faceplates held together by a central screw and post, passing through a rotor consisting of a central, hollow, core round disc-shaped magnet or magnets, sandwiched in the center of aforesaid opposing faceplates, around which a round, disc-shaped magnet or magnets orbit(s) radially and freely, held to the aforesaid central rotor magnet or magnets by magnetic polarity attraction only, and aforesaid central freely rotating magnet or magnets convert(s) the ambient kinetic energy vibrations to electricity via radial rotation about the aforesaid fixed central, round, disc-shaped central rotor core magnet or magnets, while just touching the round electrically conductive, toroidally shaped stator coil, sandwiched between the outside perimeters of the aforementioned two opposing canister faceplates; and the variable direct current electrici