Abstract: Techniques are provided for generating enhanced image representations from original X-ray images using deep learning techniques. In one embodiment, a system is provided that includes a memory storing computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can include a reception component, an analysis component, and an artificial intelligence component. The analysis component analyzes the original X-ray image using an AI-based model with respect to a set of features of interest. The AI component generates a plurality of enhanced image representations. Each enhanced image representation highlights a subset of the features of interest and suppresses remaining features of interest in the set that are external to the subset.

Abstract: Methods executed by a processor of a user equipment for recovering a communication audio link during a voice call are disclosed. The processor of the user equipment may detect a potential audio link codec problem during an active voice call based on an audio link pattern, determine whether the detected potential audio link codec problem is resolved before expiration of a failure declaration timer that was started in response to detecting the potential audio link codec problem, and initiating a radio link failure recovery procedure in response to determining that the detected potential audio link codec problem has not been resolved before expiration of the failure declaration timer. The failure declaration timer may be started in response detecting any of a repeating homing sequence, repeating data sequences, threshold data or packet loss, receipt of undecodable patterns in vocoder data, or jitter in vocoder output.

Abstract: A method for determining optimized deep learning architecture includes receiving a plurality of training images and a plurality of real time images corresponding to a subject. The method further includes receiving, by a medical practitioner, a plurality of learning parameters comprising a plurality of filter classes and a plurality of architecture parameters. The method also includes determining a deep learning model based on the plurality of learning parameters and the plurality of training images, wherein the deep learning model comprises a plurality of reusable filters. The method further includes determining a health condition of the subject based on the plurality of real time images and the deep learning model. The method also includes providing the health condition of the subject to the medical practitioner.

Abstract: A method for producing a high strength coated steel sheet having a yield strength YS of at least 800 MPa, a tensile strength TS of >1180 MPa, a total elongation >14% and a hole expansion ratio HER >30%. The steel contains in weight %: 0.13%?C?0.22%, 1.2%?Si?1.8%, 1.8%?Mn?2.2%, 0.10%?Mo?0.20%, Nb?0.05%, Al?0.5%, the remainder being Fe and unavoidable impurities. The sheet is annealed at a temperature TA higher than Ac3 but less than 1000° C. for more than 30 s, then quenched by cooling temperature QT between 325° C. and 375° C., at a cooling speed sufficient to obtain a structure consisting of austenite and at least 60% of martensite, the austenite content being such that the final structure can contain between 3% and 15% of residual austenite and between 85 and 97% of the sum of martensite and bainite, without ferrite, then heated to a partitioning temperature PT between 430° C. and 480° C.

Abstract: A coated steel sheet includes a chemical composition including in weight %: 0.13%?C ?0.22%; 1.2%?Si?1.8%; 1.8%?Mn?2.2%; 0.10%?Mo?0.20%; Nb?0.05%; Al?0.5%; Ti?0.05%; and a remainder being Fe and unavoidable impurities. A structure of the steel sheet consists of, by volume fraction, 3% to 15% of residual austenite and 85% to 97% of martensite and bainite. The structure includes at least 65% of martensite and does not including ferrite. At least one face of the coated steel sheet includes a metallic coating. The steel sheet has a yield strength of at least 800 MPa, a tensile strength of at least 1180 MPa, a total elongation of at least 14% and a hole expansion ratio HER of at least 30%.

Abstract: Systems and methods are provided for perioperative care in a medical facility. In an example, a system includes a display and a computing device operably coupled to the display and storing instructions executable to output, to the display, a graphical user interface (GUI) that includes real-time medical device data of a patient, at least some of the real-time medical device data displayed via the GUI as a plurality of patient monitoring parameter tiles, the GUI including a risk score indicative of a relative likelihood that the patient will exhibit a condition within a period of time, and responsive to a user input, display, on the GUI, a set of trend lines each showing values for a respective patient monitoring parameter over a time range, each trend line of the set of trend lines selected based on a contribution of each respective patient monitoring parameter to the risk score.

Abstract: A method for producing a high strength coated steel sheet having an improved ductility and an improved formability, the chemical composition of the steel containing: 0.13%?C?0.22%, 1.9%?Si?2.3%, 2.4%?Mn?3%, Al?0.5%, Ti<0.05%, Nb<0.05%, the remainder being Fe and unavoidable impurities. The sheet is annealed at temperature TA higher than Ac3 but less than 1000° C. for a time of more than 30 s, quenched by cooling to a quenching temperature QT between 200° C. and 280° C. in order to obtain a structure consisting of austenite and at least 50% of martensite, the austenite content being such that the final structure can contain between 3% and 15% of residual austenite and between 85% and 97% of the sum of martensite and bainite, without ferrite, heated up to a partitioning temperature PT between 430° C. and 490° C. and maintained at this temperature for a time Pt between 10 s and 100 s, hot dip coated and cooled to the room temperature.

Abstract: A method is for producing a high strength coated steel sheet having a yield stress YS>800 MPa, a tensile strength TS>1180 MPa, and improved formability and ductility. The steel contains: 15%?C?0.25%, 1.2%?Si?1.8%, 2%?Mn?2.4%, 0.1%?Cr?0.25%, Al?0.5%, the remainder being Fe and unavoidable impurities. The sheet is annealed at a temperature higher than Ac3 and lower than 1000° C. for a time of more than 30 s, then quenched by cooling it to a quenching temperature QT between 250° C. and 350° C., to obtain a structure consisting of at least 60% of martensite and a sufficient austenite content such that the final structure contains 3% to 15% of residual austenite and 85% to 97% of martensite and bainite without ferrite, then heated to a partitioning temperature PT between 430° C. and 480° C. and maintained at this temperature for a partitioning time Pt between 10 s and 90 s, then hot dip coated and cooled to the room temperature.

Abstract: The present invention relates to an immediate release solid oral pharmaceutical composition comprising an effective amount of Tizanidine or its pharmaceutically acceptable salts, esters, solvates, polymorphs, stereoisomers or mixtures thereof. The solid oral dosage form comprises one or more methacrylic acid copolymers or its derivatives and is bioequivalent to the commercially available counterpart (ZANAFLEX® capsule) after oral administration. The invention also relates to a process for preparation of a pharmaceutical capsule dosage form comprising an effective amount of Tizanidine Hydrochloride wherein, the dosage form comprises methacrylic acid copolymer or its derivatives.

Abstract: Described herein are methods of processing heat treatable aluminum alloys using an accelerated aging step, along with aluminum alloy products prepared according to the methods. The methods of processing the heat treatable alloys described herein provide a more efficient method for producing aluminum alloy products having the desired strength and formability properties. For example, conventional methods of processing alloys can require 24 hours of aging. The methods described herein, however, substantially reduce the aging time, often requiring eight hours or less of aging time.

Abstract: Provided herein are highly-formable aluminum alloys and methods of making such alloys. The method of preparing aluminum alloys described herein can include a low final cold reduction step and/or an optional inter-annealing step to produce randomly distributed crystallographic texture components that produce an isotropic aluminum alloy product exhibiting improved formability and deep drawability. The methods described herein result in aluminum alloy microstructures having a balance of alpha fibers and beta fibers that promote improved formability of aluminum alloy sheets. The resulting improvements in quality allow for shaping processes with reduced rates of spoilage.

Abstract: A method of hot forming an aluminum alloy component may include heating the aluminum alloy component in a heating furnace to a solutionizing temperature, cooling the aluminum alloy component to a desired forming temperature, deforming the aluminum alloy component into a desired shape in a forming device while the aluminum alloy component is at the desired forming temperature, maintaining a constant temperature during the deformation of the aluminum alloy component, and quenching the aluminum alloy component to a low temperature below a solvus temperature.

Abstract: A method for determining optimized deep learning architecture includes receiving a plurality of training images and a plurality of real time images corresponding to a subject. The method further includes receiving, by a medical practitioner, a plurality of learning parameters comprising a plurality of filter classes and a plurality of architecture parameters. The method also includes determining a deep learning model based on the plurality of learning parameters and the plurality of training images, wherein the deep learning model comprises a plurality of reusable filters. The method further includes determining a health condition of the subject based on the plurality of real time images and the deep learning model. The method also includes providing the health condition of the subject to the medical practitioner.

Abstract: A method of hot forming an aluminum alloy component may include heating the aluminum alloy component in a heating furnace to a solutionizing temperature, cooling the aluminum alloy component to a desired forming temperature, deforming the aluminum alloy component into a desired shape in a forming device while the aluminum alloy component is at the desired forming temperature, maintaining a constant temperature during the deformation of the aluminum alloy component, and quenching the aluminum alloy component to a low temperature below a solvus temperature.

Abstract: The present disclosure generally provides aluminum alloy products having selectively recrystallized microstructure at one or more surfaces of the product. The disclosure also provides articles of manufacture made from such products, and methods of making such products, such as through casting and rolling. The disclosure also provides various end uses of such products, such as in automotive, transportation, electronics, and industrial applications.

Abstract: A method includes receiving a first image and a second image from an X-ray imaging device and determining a template window in the first image and a plurality of search windows in the second image. The method further includes generating a template vector corresponding to the template window and a plurality of search vectors corresponding to the plurality of search windows. The method also includes calculating a plurality of similarity scores based on the template vector and the plurality of search vectors. Additionally, the method includes determining a matching window from the plurality of search windows based on the plurality of similarity scores. Finally, the method includes generating a final image using the first image and the second image based on the template window and the matching window.

Abstract: The present invention relates to an immediate release solid oral pharmaceutical composition comprising an effective amount of Tizanidine or its pharmaceutically acceptable salts, esters, solvates, polymorphs, stereoisomers or mixtures thereof. The solid oral dosage form comprises one or more methacrylic acid copolymers or its derivatives and is bioequivalent to the commercially available counterpart (ZANAFLEX® capsule) after oral administration. The invention also relates to a process for preparation of a pharmaceutical capsule dosage form comprising an effective amount of Tizanidine Hydrochloride wherein, the dosage form comprises methacrylic acid copolymer or its derivatives.

Abstract: Disclosed herein are methods of processing 7xxx aluminum alloys using a rapid pre-aging step, along with alloys prepared according to the methods. The aluminum alloy products described herein have high strength when subjected to a rapid pre-aging step, as described above, and subsequent thermal treatment, such as paint baking or coating. The alloys prepared and processed according to the methods described herein can be used, for example, in automotive, transportation, electronics, and industrial applications.

Abstract: Systems and methods for integrating an e-commerce platform with at least one payment aggregator are provided. The system comprising a processor and a memory coupled to the processor. The memory comprises an integrating module configured to provide a Generic Interface Framework (GIF). The GIF comprises a plurality of configuration files having activity details of a plurality of payment aggregators. The integrating module is further configured to integrate at least one payment aggregator selected from amongst the plurality of payment aggregators with the e-commerce platform based upon the plurality of configuration files.

Abstract: The present invention relates to a solid oral pharmaceutical composition comprising an effective amount of Tizanidine or its pharmaceutically acceptable salts, esters, solvates, polymorphs, stereoisomers or mixtures thereof. The solid oral dosage form of the present invention is free of non-pareil seeds. The invention also relates to a process for the preparation of a pharmaceutical composition comprising an effective amount of Tizanidine wherein, the dosage form is free of non-pareil seeds.