Abstract: A computerized method for extracting domain specific insights from a corpus of files containing large documents comprising: breaking down large chunks of text into smaller sentences/short paragraphs in a domain specific way, identifying and removing domain noise; identifying the sentence intents of the non-noise sentences; tagging the sentences with other domain specific attributes; defining a semantic ontology using a graph database based on the sentence intents, a multitude of mini-dictionaries and domain attributes; applying a pre-defined ontology to tag documents with domain specific hashtags; and combining the hashtags using machine learning techniques into insights.

Abstract: A method includes writing information comprising a state of a computing system to a safe area of a memory sub-system that is deployed within the computing system. The method further includes determining that a power event involving the computing system has occurred. The method further includes causing, responsive to the determination that the power event has occurred, the information written to the safe area of the memory sub-system to be written to or retrieved from a persistent memory area of the memory sub-system.

Abstract: A computerized method for extracting domain specific insights from a corpus of files containing large documents comprising: breaking down large chunks of text into smaller sentences/short paragraphs in a domain specific way, identifying and removing domain noise; identifying the sentence intents of the non-noise sentences; tagging the sentences with other domain specific attributes; defining a semantic ontology using a graph database based on the sentence intents, a multitude of mini-dictionaries and domain attributes; applying a pre-defined ontology to tag documents with domain specific hashtags; and combining the hashtags using machine learning techniques into insights.

Abstract: A charging station for an electric vehicle (EV) comprising a container having an electric vehicle (EV) charging port for charging the EV and a first photovoltaic (PV) panel coupled to the container, wherein the first PV panel is movable from a first orientation, in which the plane of the first PV panel is substantially parallel to a first side wall of the container, to a second and third orientation in which the first PV panel extends away from the first side of the container, such that in the second orientation the plane of the first PV panel is orientated at an angle in a downward direction from the top of the container and in the third orientation the plane of the first PV panel is orientated at an angle in an upward direction from the top of the container, wherein the first PV panel is arranged to be electrically coupled to the EV charging port.

Abstract: A computerized method for extracting domain specific insights from a corpus of files containing large documents comprising: breaking down large chunks of text into smaller sentences/short paragraphs in a domain specific way, identifying and removing domain noise; identifying the sentence intents of the non-noise sentences; tagging the sentences with other domain specific attributes; defining a semantic ontology using a graph database based on the sentence intents, a multitude of mini-dictionaries and domain attributes; applying a pre-defined ontology to tag documents with domain specific hashtags; and combining the hashtags using machine learning techniques into insights.

Abstract: A method includes writing information comprising a state of a computing system to a safe area of a memory sub-system that is deployed within the computing system. The method further includes determining that a power event involving the computing system has occurred. The method further includes causing, responsive to the determination that the power event has occurred, the information written to the safe area of the memory sub-system to be written to or retrieved from a persistent memory area of the memory sub-system.

Abstract: A computerized method for extracting domain specific insights from a corpus of files containing large documents comprising: breaking down large chunks of text into smaller sentences/short paragraphs in a domain specific way, identifying and removing domain noise; identifying the sentence intents of the non-noise sentences; tagging the sentences with other domain specific attributes; defining a semantic ontology using a graph database based on the sentence intents, a multitude of mini-dictionaries and domain attributes; applying a pre-defined ontology to tag documents with domain specific hashtags; and combining the hashtags using machine learning techniques into insights.

Abstract: A computerized method for extracting domain specific insights from a corpus of files containing large documents comprising: breaking down large chunks of text into smaller sentences/short paragraphs in a domain specific way, identifying and removing domain noise; identifying the sentence intents of the non-noise sentences; tagging the sentences with other domain specific attributes; defining a semantic ontology using a graph database based on the sentence intents, a multitude of mini-dictionaries and domain attributes; applying a pre-defined ontology to tag documents with domain specific hashtags; and combining the hashtags using machine learning techniques into insights.

Abstract: A computerized method for extracting domain specific insights from a corpus of files containing large documents comprising: breaking down large chunks of text into smaller sentences/short paragraphs in a domain specific way, identifying and removing domain noise; identifying the sentence intents of the non-noise sentences; tagging the sentences with other domain specific attributes; defining a semantic ontology using a graph database based on the sentence intents, a multitude of mini-dictionaries and domain attributes; applying a pre-defined ontology to tag documents with domain specific hashtags; and combining the hashtags using machine learning techniques into insights.

Abstract: A computerized method for extracting domain specific insights from a corpus of files containing large documents comprising: breaking down large chunks of text into smaller sentences/short paragraphs in a domain specific way, identifying and removing domain noise; identifying the sentence intents of the non-noise sentences; tagging the sentences with other domain specific attributes; defining a semantic ontology using a graph database based on the sentence intents, a multitude of mini-dictionaries and domain attributes; applying a pre-defined ontology to tag documents with domain specific hashtags; and combining the hashtags using machine learning techniques into insights.

Abstract: A dry powder inhalation device is disclosed. In one optional aspect, the device includes a housing, a base plate, a receptacle for a medicament and a mouthpiece. The base plate is engageable with the housing to form a main space with a main air inlet. The mouthpiece includes an inner conduit connected to its outlet and is engageable with the base plate to fluidly connect the inner conduit to the receptacle. The receptacle is fluidly connected to the main space, so that upon inhalation by a user, air can be drawn through the main air inlet into the main space and onward through the receptacle into the inner conduit. The mouthpiece and the base plate form an auxiliary space with an auxiliary air inlet, wherein the auxiliary space is fluidly connected to the main space.

Abstract: A dry powder inhalation device is disclosed. In one optional aspect, the device includes a housing, a base plate, a receptacle for a medicament and a mouthpiece. The base plate is engageable with the housing to form a main space with a main air inlet. The mouthpiece includes an inner conduit connected to its outlet and is engageable with the base plate to fluidly connect the inner conduit to the receptacle. The receptacle is fluidly connected to the main space, so that upon inhalation by a user, air can be drawn through the main air inlet into the main space and onward through the receptacle into the inner conduit. The mouthpiece and the base plate form an auxiliary space with an auxiliary air inlet, wherein the auxiliary space is fluidly connected to the main space.

Abstract: Loudspeaker mounting apparatus that permits mounting of a loudspeaker at an angle to a mounting surface. In one embodiment the apparatus comprises an assembly that includes a frame member that is flush mountable in a cutout in the mounting surface. The frame member includes an angled flange that is employed for the mounting of a cooperative baffle. The front of the baffle is recessed behind the mounting surface to permit a flush speaker installation. The baffle mounts to the angled flange of the frame member in one of two possible predetermined orientiations so as to disperse sound around a centerline that is either oriented normal to the mounting surface or at a predetermined angle from normal corresponding to the degree of angle incorporated into the frame and baffle assembly.

Abstract: Loudspeaker mounting apparatus that permits mounting of a loudspeaker at an angle to a mounting surface. In one embodiment the apparatus comprises an assembly that includes a frame member that is flush mountable in a cutout in the mounting surface. The frame member includes an angled flange that is employed for the mounting of a cooperative baffle. The front of the baffle is recessed behind the mounting surface to permit a flush speaker installation. The baffle mounts to the angled flange of the frame member in one of two possible predetermined orientiations so as to disperse sound around a centerline that is either oriented normal to the mounting surface or at a predetermined angle from normal corresponding to the degree of angle incorporated into the frame and baffle assembly.