Abstract: Methods and composition are provided for deriving cement and/or supplementary cementitious materials, such as pozzolans, from one or more non-limestone materials, such as one or more non-limestone rocks and/or minerals. The non-limestone materials, e.g., non-limestone rocks and/or minerals, are processed in a manner that a desired product, e.g., cement and/or supplementary cementitious material, is produced.

Abstract: Device for metering color pigments as an additive for cement or alternative cement for the production of colored concrete products, comprising at least three containers (2) for receiving respectively different color pigments, a control unit (10) for setting the discharge quantities from the containers (2), and a sensor system (11) coupled to the control unit (10) in order to meter a color pigment composition taking into account the discharge quantities detected by the sensor system (11), wherein at least one brightness value L* value for the inherent color of the cement or alternative cement of the concrete product to be colored in each case is stored or storable in the control unit (10), and the control unit (10) is configured to apply a color triangle as a function of the at least one L* value for controlling the output of predetermined quantities of the color pigments from the at least three containers (2) based on a set of three standard color values X, Y, Z.

Abstract: A method for producing a media-tight material composite, in particular comprising a metal solid body and an optionally electrically insulating plastic at least partially surrounding the solid body, preferably as a component of a preferably shielded electrical interface, wherein surfaces of the solid body that the plastic contacts are subjected to a surface pretreatment in order to promote the adhesion of the plastic to the solid body. The disclosure further relates to a cylindrical metal sleeve, in particular as part of a plug connector, and a plug connector or sensory comprising a metal sleeve, produced by the foregoing method.

Abstract: A system includes a data record (such as an Electronic Medical Record (EMR)) and a user interface for modifying (e.g., storing data in) the data record. The data record includes both free-form text elements and discrete data elements. The user interface includes user interface elements for receiving free-form text data. In response to receiving free-form text data via the free-form text user interface elements, a suggested action is identified, such as a suggested action to take in connection with one of the discrete data elements of the data record. Output is generated representing the suggested action. A user provides input indicating acceptance or rejection of the suggested action. The suggested action may be performed in response to the user input.

Abstract: A computer system increases the efficiency with which billing codes may be generated based on a chart, such as a medical chart. The computer system provides the chart to a computer-assisted coding (CAC) module, which produces an initial set of billing codes and an initial assessment of the accuracy and/or completeness of the codes. The computer system decides whether to send the initial set of billing codes to an initial human reviewer. If the computer system sends the initial set of billing codes to the initial human reviewer, then the initial human reviewer reviews the chart and the output of the CAC module, and attempts to fix errors in the CAC output. The system provides the chart and the current (initial or modified) codes to a final human reviewer, who may be more highly skilled than the initial human reviewer, for final verification and modification.

Abstract: A system includes a data record (such as an Electronic Medical Record (EMR)) and a user interface for modifying (e.g., storing data in) the data record. The data record includes both free-form text elements and discrete data elements. The user interface includes user interface elements for receiving free-form text data. In response to receiving free-form text data via the free-form text user interface elements, a suggested action is identified, such as a suggested action to take in connection with one of the discrete data elements of the data record. Output is generated representing the suggested action. A user provides input indicating acceptance or rejection of the suggested action. The suggested action may be performed in response to the user input.

Abstract: Inputs provided into user interface elements of an application are observed. Records are made of the inputs and the state(s) the application was in while the inputs were provided. For each state, a corresponding language model is trained based on the input(s) provided to the application while the application was in that state. When the application is next observed to be in a previously-observed state, a language model associated with the application's current state is applied to recognize speech input provided by a user and thereby to generate speech recognition output that is provided to the application. An application's state at a particular time may include the user interface element(s) that are displayed and/or in focus at that time, and is determined by an operating system hooking component embedded in the automatic speech recognition system.

Abstract: Speech is transcribed to produce a transcript. At least some of the text in the transcript is encoded as data. These codings may be verified for accuracy and corrected if inaccurate. The resulting transcript is provided to a decision support system to perform functions such as checking for drug-drug, drug-allergy, and drug-procedure interactions, and checking against clinical performance measures (such as recommended treatments). Alerts and other information output by the decision support system are associated with the transcript. The transcript and associated decision support output are provided to a physician to assist the physician in reviewing the transcript and in taking any appropriate action in response to the transcript.

Abstract: Inputs provided into user interface elements of an application are observed. Records are made of the inputs and the state(s) the application was in while the inputs were provided. For each state, a corresponding language model is trained based on the input(s) provided to the application while the application was in that state. When the application is next observed to be in a previously-observed state, a language model associated with the application's current state is applied to recognize speech input provided by a user and thereby to generate speech recognition output that is provided to the application. An application's state at a particular time may include the user interface element(s) that are displayed and/or in focus at that time, and is determined by an operating system hooking component embedded in the automatic speech recognition system.

Abstract: A dispenser for a washing machine includes: at least one dispensing channel for dispensing a liquid into a chamber of the dispenser, the at least one dispensing channel having an inlet opening, an outlet opening, a reducer for reducing a cross section of the at least one dispensing channel arranged between the inlet opening and the outlet opening, and a ventilation opening for pressure equalization arranged between the reducer and the outlet opening.

Abstract: A siphon for a dispensing compartment of a washing machine includes: a first siphon part and a second siphon part, the first siphon part and the second siphon part being interconnectable to form a tube comprising a suction opening; an outlet opening and a transition curve arranged between the suction opening and the outlet opening; and a mold joint between the first siphon part and the second siphon part, the mold joint extending, when the siphon is in operation, at least in part above a fill level plane representing a maximum fill level of the dispensing compartment, and/or intersecting the transition curve.

Abstract: An extraction device for extracting a detergent from a dispensing compartment of a washing machine includes: an extraction channel having a channel opening that is or can be arranged in the dispensing compartment so as to form an inlet region; and an injection apparatus for injecting a diluting agent into the dispensing compartment, the injection apparatus having a nozzle opening which is arranged adjacent to the channel opening when the extraction device is in an operating state, so as to dilute the detergent with the diluting agent.

Abstract: A system includes a data record (such as an Electronic Medical Record (EMR)) and a user interface for modifying (e.g., storing data in) the data record. The data record includes both free-form text elements and discrete data elements. The user interface includes user interface elements for receiving free-form text data. In response to receiving free-form text data via the free-form text user interface elements, a suggested action is identified, such as a suggested action to take in connection with one of the discrete data elements of the data record. Output is generated representing the suggested action. A user provides input indicating acceptance or rejection of the suggested action. The suggested action may be performed in response to the user input.

Abstract: A system includes a data record (such as an Electronic Medical Record (EMR)) and a user interface for modifying (e.g., storing data in) the data record. The data record includes both free-form text elements and discrete data elements. The user interface includes user interface elements for receiving free-form text data. In response to receiving free-form text data via the free-form text user interface elements, a suggested action is identified, such as a suggested action to take in connection with one of the discrete data elements of the data record. Output is generated representing the suggested action. A user provides input indicating acceptance or rejection of the suggested action. The suggested action may be performed in response to the user input.

Abstract: An automatic speech recognizer is used to produce a structured document representing the contents of human speech. A best practice is applied to the structured document to produce a conclusion, such as a conclusion that required information is missing from the structured document. Content is inserted into the structured document based on the conclusion, thereby producing a modified document. The inserted content may be obtained by prompting a human user for the content and receiving input representing the content from the human user.

Abstract: Inputs provided into user interface elements of an application are observed. Records are made of the inputs and the state(s) the application was in while the inputs were provided. For each state, a corresponding language model is trained based on the input(s) provided to the application while the application was in that state. When the application is next observed to be in a previously-observed state, a language model associated with the application's current state is applied to recognize speech input provided by a user and thereby to generate speech recognition output that is provided to the application. An application's state at a particular time may include the user interface element(s) that are displayed and/or in focus at that time, and is determined by an operating system hooking component embedded in the automatic speech recognition system.

Abstract: Inputs provided into user interface elements of an application are observed. Records are made of the inputs and the state(s) the application was in while the inputs were provided. For each state, a corresponding language model is trained based on the input(s) provided to the application while the application was in that state. When the application is next observed to be in a previously-observed state, a language model associated with the application's current state is applied to recognize speech input provided by a user and thereby to generate speech recognition output that is provided to the application. An application's state at a particular time may include the user interface element(s) that are displayed and/or in focus at that time, and is determined by an operating system hooking component embedded in the automatic speech recognition system.

Abstract: Speech is transcribed to produce a transcript. At least some of the text in the transcript is encoded as data. These codings may be verified for accuracy and corrected if inaccurate. The resulting transcript is provided to a decision support system to perform functions such as checking for drug-drug, drug-allergy, and drug-procedure interactions, and checking against clinical performance measures (such as recommended treatments). Alerts and other information output by the decision support system are associated with the transcript. The transcript and associated decision support output are provided to a physician to assist the physician in reviewing the transcript and in taking any appropriate action in response to the transcript.

Abstract: An automatic speech recognizer is used to produce a structured document representing the contents of human speech. A best practice is applied to the structured document to produce a conclusion, such as a conclusion that required information is missing from the structured document. Content is inserted into the structured document based on the conclusion, thereby producing a modified document. The inserted content may be obtained by prompting a human user for the content and receiving input representing the content from the human user.

Abstract: A method of operating a dispensing system for a washing machine including a suds container for receiving wash liquid and at least one supply container for receiving a treating agent. The method includes selecting and activating a wash or treatment cycle from a plurality of wash or treatment cycles using an input device. The treating agent for delivery to the suds container is selected based on suitability information corresponding to the selected wash or treatment cycle. The treating agent is delivered to the suds container at the start of the activated wash or treatment cycle. The activated wash or treatment cycle is performed using a controller.