Abstract: An external indicator assembly for a central processing unit (CPU) disposed within an equipment cabinet, including: an internal fitting adapted to be disposed adjacent to indicator lights associated with the CPU; an external fitting adapted to be coupled to or disposed through an external surface of the equipment cabinet; and one or more optical fibers adapted to be coupled between the internal fitting and the external fitting such that light from the indicator lights is transmitted from the CPU disposed within the equipment cabinet external to the equipment cabinet such that the light is visible to a person external to the equipment cabinet. This allows the person to visually assess the status or power-down cycling of the CPU during a shutdown or restart process without or before opening the equipment cabinet, thereby preventing corruption of the CPU and assuring personal safety by avoiding contact with powered components.

Abstract: A detection device for detecting the presence of a substance of interest in a sample is described. The device can include a data store comprising executable instructions for at least one convolutional neural network, CNN, configured to process images: and a processor coupled to the data store and configured to execute the instructions to operate the at least one CNN. The detection device can be configured to: obtain spectrometry data, operate a first one of the CNNs to process the spectrometry data to obtain a first CNN output; apply a mask to the spectrometry data to obtain masked data; operate a second one of the CNNs to process the masked data to obtain a second CNN output; and determine if the substance of interest is present in the sample based on both the first CNN output and the second CNN output.

Abstract: An external indicator assembly for a central processing unit (CPU) disposed within an equipment cabinet, including: an internal fitting adapted to be disposed adjacent to indicator lights associated with the CPU; an external fitting adapted to be coupled to or disposed through an external surface of the equipment cabinet; and one or more optical fibers adapted to be coupled between the internal fitting and the external fitting such that light from the indicator lights is transmitted from the CPU disposed within the equipment cabinet external to the equipment cabinet such that the light is visible to a person external to the equipment cabinet. This allows the person to visually assess the status or power-down cycling of the CPU during a shutdown or restart process without or before opening the equipment cabinet, thereby preventing corruption of the CPU and assuring personal safety by avoiding contact with powered components.

Abstract: A detection device for detecting the presence of a substance of interest in a sample is described. The device can include a data store comprising executable instructions for at least one convolutional neural network, CNN, configured to process images: and a processor coupled to the data store and configured to execute the instructions to operate the at least one CNN. The detection device can be configured to: obtain spectrometry data, operate a first one of the CNNs to process the spectrometry data to obtain a first CNN output; apply a mask to the spectrometry data to obtain masked data; operate a second one of the CNNs to process the masked data to obtain a second CNN output; and determine if the substance of interest is present in the sample based on both the first CNN output and the second CNN output.

Abstract: A detection device for detecting the presence of a substance of interest in a sample is described. The device can include a data store comprising executable instructions for at least one convolutional neural network, CNN, configured to process images: and a processor coupled to the data store and configured to execute the instructions to operate the at least one CNN. The detection device can be configured to: obtain spectrometry data, operate a first one of the CNNs to process the spectrometry data to obtain a first CNN output; apply a mask to the spectrometry data to obtain masked data; operate a second one of the CNNs to process the masked data to obtain a second CNN output; and determine if the substance of interest is present in the sample based on both the first CNN output and the second CNN output.

Abstract: A detection device for detecting the presence of a substance of interest in a sample is described. The device can include a data store comprising executable instructions for at least one convolutional neural network, CNN, configured to process images: and a processor coupled to the data store and configured to execute the instructions to operate the at least one CNN. The detection device can be configured to: obtain spectrometry data, operate a first one of the CNNs to process the spectrometry data to obtain a first CNN output; apply a mask to the spectrometry data to obtain masked data; operate a second one of the CNNs to process the masked data to obtain a second CNN output; and determine if the substance of interest is present in the sample based on both the first CNN output and the second CNN output.

Abstract: The present invention relates to a clear and/or colorless liquid detergent composition comprising enzyme, polyol, surfactants and water, wherein the amount of water is less than 15% of the total detergent composition volume. The invention further relates to methods of producing and uses of such compositions.

Abstract: A computer-implemented method for handling electronic achievement information involves receiving, from a first user of an achievement aggregation system, a selection of a plurality of achievement tracking services that are operated by organizations that are separate from the operator of the achievement aggregation system; establishing an authenticated electronic communication connection between the achievement aggregator system and each of the one or more achievement tracking services; obtaining from each of the achievement tracking services, information sufficient to characterize one or more achievements obtained by the user; aggregating the information obtained from each of the achievement tracking services into a user achievement profile; and providing the user achievement profile for presentation to one or more users who request profile information about the first user.