Abstract: A system and method for grouping data files into related groups using a combination of deterministic matching and machine learning based cosine similarity matching. The method includes loading the data files into hive tables, combining files in the hive tables into common structured files, and providing prior stored base data hive tables. The method also includes performing a deterministic matching process that matches the common structured files with each other and with the prior stored matched groups of files into related groups, and performing a machine learning based cosine similarity matching process that matches the common structured files with each other and with the prior stored matched groups of files into related groups, where the machine learning based cosine similarity matching process uses at least one neural network. The method combines the matched files from the deterministic matching process and the machine learning based cosine similarity matching process.

Abstract: Disclosed herein is a method for treating a respiratory disease in a patient. The method comprises administering by inhalation a therapeutically effective combination of a glycoprotein affecting protease and a sputum-degrading agent.

Abstract: A system and method for grouping data files into related groups using a combination of deterministic matching and machine learning based cosine similarity matching. The method includes loading the data files into hive tables, combining files in the hive tables into common structured files, and providing prior stored base data hive tables. The method also includes performing a deterministic matching process that matches the common structured files with each other and with the prior stored matched groups of files into related groups, and performing a machine learning based cosine similarity matching process that matches the common structured files with each other and with the prior stored matched groups of files into related groups, where the machine learning based cosine similarity matching process uses at least one neural network. The method combines the matched files from the deterministic matching process and the machine learning based cosine similarity matching process.

Abstract: A system and method for grouping data files into related groups using a combination of deterministic matching and machine learning based cosine similarity matching. The method includes loading the data files into hive tables, combining files in the hive tables into common structured files, and providing prior stored base data hive tables. The method also includes performing a deterministic matching process that matches the common structured files with each other and with the prior stored matched groups of files into related groups, and performing a machine learning based cosine similarity matching process that matches the common structured files with each other and with the prior stored matched groups of files into related groups, where the machine learning based cosine similarity matching process uses at least one neural network. The method combines the matched files from the deterministic matching process and the machine learning based cosine similarity matching process.

Abstract: A system and method for grouping data files into related groups using a combination of deterministic matching and machine learning based cosine similarity matching. The method includes loading the data files into hive tables, combining files in the hive tables into common structured foes, and providing prior stored base data hive tables. The method also includes performing a deterministic matching process that matches the common structured files with each other and with the prior stored matched groups of files into related groups, and performing a machine learning based cosine similarity matching process that matches the common structured files with each other and with the prior stored matched groups of foes into related groups, where the machine learning based cosine similarity matching process uses at least one neural network. The method combines the matched files from the deterministic matching process and the machine learning based cosine similarity matching process.

Abstract: Measuring pipettes including integral or encapsulated filters, as well as methods and apparatuses for forming the same, are provided. A filter material (e.g., a discrete element in solid form) or a filter material precursor (e.g., a foamable thermoplastic composition and a blowing agent) to be introduced into a hollow interior of a softened thermoplastic material present within a mold during pipette fabrication. A pipette includes a filter element comprising foamed polymeric material within a mouthpiece region, wherein an outer portion of the filter element is bound to or encapsulated in an inner wall of the mouthpiece region. A filter material precursor may be supplied coaxially with a tubular flow of thermoplastic material into the mold, may be supplied laterally through a mold wall, or may be injected into a molten thermoplastic pipette forming material upstream of an extruder outlet.

Abstract: The present invention relates to compositions containing one or more of the compounds contained in bromelain, or salts, solvates or prodrugs thereof, and one or more mucolytic agents, or salts, solvates or prodrugs thereof, for treatment of diseases involving mucin, especially mucin secreting cancers, or diseases involving blood clots (thrombi).

Abstract: An electronic tool for copying a plurality of settings from a first mechanical tool to a second mechanical tool comprises: a smart device having a processor, and having a non-transitory memory storing program instructions executable on the processor. The program instructions are configured, when executed on the processor, to: read the plurality of settings from the first mechanical tool; and write the plurality of settings to the second mechanical tool.

Abstract: The present invention relates to compositions containing one or more of the compounds contained in bromelain, or salts, solvates or prodrugs thereof, and one or more mucolytic agents, or salts, solvates or prodrugs thereof, for treatment of diseases involving mucin, especially mucin secreting cancers, or diseases involving blood clots (thrombi).

Abstract: The present invention relates to synergistic compositions comprising bromelain, or a proteolytic fraction thereof, and cysteamine or a metabolite, pharmaceutically acceptable salt, solvate or prodrug thereof The invention also relates to methods and uses of such compositions for the treatment of diseases involving mucin.

Abstract: In some examples, data integrity verification may include obtaining, from an application for which data is stored in a primary storage volume, an identification of data blocks of the primary storage volume that are stored for the application in a snapshot storage volume that represents a snapshot of data stored in the primary storage volume. The identification may include references to locations of the data blocks in the primary storage volume. Using physical extent mappings and volume block addressing, the identified locations of the data blocks in the primary storage volume may be translated to locations of snapshot storage volume blocks of the snapshot storage volume. Based on the snapshot storage volume blocks that are read from the snapshot storage volume, integrity of corresponding backup copy blocks stored in a backup copy for backup of the primary storage volume may be verified.

Abstract: An electronic tool for copying a plurality of settings from a first mechanical tool to a second mechanical tool comprises: a smart device having a processor, and having a non-transitory memory storing program instructions executable on the processor. The program instructions are configured, when executed on the processor, to: read the plurality of settings from the first mechanical tool; and write the plurality of settings to the second mechanical tool.

Abstract: In some examples, data integrity verification may include obtaining, from an application for which data is stored in a primary storage volume, an identification of data blocks of the primary storage volume that are stored for the application in a snapshot storage volume that represents a snapshot of data stored in the primary storage volume. The identification may include references to locations of the data blocks in the primary storage volume. Using physical extent mappings and volume block addressing, the identified locations of the data blocks in the primary storage volume may be translated to locations of snapshot storage volume blocks of the snapshot storage volume. Based on the snapshot storage volume blocks that are read from the snapshot storage volume, integrity of corresponding backup copy blocks stored in a backup copy for backup of the primary storage volume may be verified.

Abstract: A serological pipette has an elongated hollow tubular body having an optical transmission of 40 to 70% over a range of 390 to 700 nm. The pipette body is formed from a polymer composition that includes 5 to 30 wt. % poly(styrene-butadiene-styrene) and 70 to 95 wt. % polystyrene. The tubular body is formed by extrusion at a barrel temperature ranging from 400 to 500 F.

Abstract: Disclosed herein is a microsphere for delivery to a target area in a patients body. The microsphere contains a mucin-affecting protease loaded therein and is adapted to release the mucin-affecting protease in a sustained manner when exposed to physiological conditions. Also disclosed are pharmaceutical compositions comprising the microspheres and methods of treatment involving the microspheres.

Abstract: Measuring pipettes including integral or encapsulated filters, as well as methods and apparatuses for forming the same, are provided. A filter material (e.g., a discrete element in solid form) or a filter material precursor (e.g., a foamable thermoplastic composition and a blowing agent) to be introduced into a hollow interior of a softened thermoplastic material present within a mold during pipette fabrication. A pipette includes a filter element comprising foamed polymeric material within a mouthpiece region, wherein an outer portion of the filter element is bound to or encapsulated in an inner wall of the mouthpiece region. A filter material precursor may be supplied coaxially with a tubular flow of thermoplastic material into the mold, may be supplied laterally through a mold wall, or may be injected into a molten thermoplastic pipette forming material upstream of an extruder outlet.

Abstract: An electronic tool for copying a plurality of settings from a first mechanical tool to a second mechanical tool comprises: a smart device having a processor, and having a non-transitory memory storing program instructions executable on the processor. The program instructions are configured, when executed on the processor, to: read the plurality of settings from the first mechanical tool; and write the plurality of settings to the second mechanical tool.

Abstract: An electronic tool for copying a plurality of settings from a first mechanical tool to a second mechanical tool comprises: a smart device having a processor, and having a non-transitory memory storing program instructions executable on the processor. The program instructions are configured, when executed on the processor, to: read the plurality of settings from the first mechanical tool; and write the plurality of settings to the second mechanical tool.

Abstract: The present invention relates to synergistic compositions comprising bromelain, or a proteolytic fraction thereof, and cysteamine or a metabolite, pharmaceutically acceptable salt, solvate or prodrug thereof The invention also relates to methods and uses of such compositions for the treatment of diseases involving mucin.

Abstract: A serological pipette has an elongated hollow tubular body having an optical transmission of 40 to 70% over a range of 390 to 700 nm. The pipette body is formed from a polymer composition that includes 5 to 30 wt. % poly(styrene-butadiene-styrene) and 70 to 95 wt. % polystyrene. The tubular body is formed by extrusion at a barrel temperature ranging from 400 to 500F.