Abstract: There is disclosed in one example a ransomware mitigation engine, including: a processor; a convolutional neural network configured to provide file type identification (FTI) services including: identifying an access operation of a file as a write to the file or newly creating the file; computing a byte correlation factor for the file; classifying the file as belonging to a file type; determining with a screening confidence that the file type is correct for the file; determining that the screening confidence is below a screening confidence threshold; and circuitry and logic to provide heuristic analysis including: receiving notification that the confidence is below the confidence threshold; performing a statistical analysis of the file to determine a difference between an expected value and a computed value; determining from the difference, with a detection confidence, that the file has been compromised; and identifying the file as having been compromised by a ransomware attack.

Abstract: Methods and systems for selecting a primary component carrier for use in new radio (NR) carrier aggregation are described. A load of a first Dynamic Shared Spectrum (DSS) component carrier is monitored. When the load of the first DSS component carrier reaches a threshold value, an identification of one or more NR user equipment that are assigned to use the first DSS component carrier as a primary component carrier for carrier aggregation is made. The one or more NR user equipment are handed over from the first component carrier to a second component carrier for use as a primary component carrier for the one or more NR user equipment. Methods and systems for selecting a secondary component carrier for use in NR carrier aggregation are also described. A load of a first DSS component carrier is monitored, wherein the carrier is assigned as the secondary component carrier for one or more NR user equipment. A determination is made that the load of the first DSS component carrier has reached a threshold value.

Abstract: There is disclosed in one example a ransomware mitigation engine, including: a processor; a convolutional neural network configured to provide file type identification (FTI) services including: identifying an access operation of a file as a write to the file or newly creating the file; computing a byte correlation factor for the file; classifying the file as belonging to a file type; determining with a screening confidence that the file type is correct for the file; determining that the screening confidence is below a screening confidence threshold; and circuitry and logic to provide heuristic analysis including: receiving notification that the confidence is below the confidence threshold; performing a statistical analysis of the file to determine a difference between an expected value and a computed value; determining from the difference, with a detection confidence, that the file has been compromised; and identifying the file as having been compromised by a ransomware attack.

Abstract: A console assembly for a vehicle includes a compartment side wall. The compartment side wall extends from a compartment floor to an upper rim of the compartment side wall. The console assembly includes a receptacle side wall that extends upward from a receptacle floor of the console assembly to define a receptacle. The console assembly further includes a panel that has opposite first and second sides. The panel is pivotable between a first position and a second position. In the first position of the panel, the panel, the compartment side wall, and the compartment floor define a compartment of the console assembly, and the first side of the panel faces the compartment. In the second position, the panel covers the receptacle of the console assembly and a surface of the first side of the panel is substantially planar with a surface of the compartment floor.

Abstract: A reconfigurable cup holder assembly for a vehicle comprises: (i) a base structure, and (ii) a cup holder portion pivotably coupled to the base structure about a pivot axis, the cup holder portion comprising a first cup holder and a second cup holder, each of the first cup holder and the second cup holder defining a space configured to hold a container for liquid, and the cup holder portion is pivotable about the pivot axis to, from, and between a first position relative to the base structure and a second position relative to the base structure; wherein, the pivot axis extends through the space of the first cup holder. The second cup holder can pivot greater than or equal to 75 degrees about the pivot axis when the cup holder portion moves from the first position to the second position.

Abstract: A center console for a vehicle includes a base. The base is coupled to the vehicle and includes a receptacle. The center console includes a body that is coupled to the base and that includes a shelf. The body is operable to move relative to the base between a retracted position, wherein the shelf covers the receptacle, and an extended position, wherein the receptacle is exposed.

Abstract: A console assembly for a vehicle includes a compartment side wall. The compartment side wall extends from a compartment floor to an upper rim of the compartment side wall. The console assembly includes a receptacle side wall that extends upward from a receptacle floor of the console assembly to define a receptacle. The console assembly further includes a panel that has opposite first and second sides. The panel is pivotable between a first position and a second position. In the first position of the panel, the panel, the compartment side wall, and the compartment floor define a compartment of the console assembly, and the first side of the panel faces the compartment. In the second position, the panel covers the receptacle of the console assembly and a surface of the first side of the panel is substantially planar with a surface of the compartment floor.

Abstract: There is disclosed in one example a ransomware mitigation engine, including: a processor; a convolutional neural network configured to provide file type identification (FTI) services including: identifying an access operation of a file as a write to the file or newly creating the file; computing a byte correlation factor for the file; classifying the file as belonging to a file type; determining with a screening confidence that the file type is correct for the file; determining that the screening confidence is below a screening confidence threshold; and circuitry and logic to provide heuristic analysis including: receiving notification that the confidence is below the confidence threshold; performing a statistical analysis of the file to determine a difference between an expected value and a computed value; determining from the difference, with a detection confidence, that the file has been compromised; and identifying the file as having been compromised by a ransomware attack.

Abstract: A reconfigurable cup holder assembly for a vehicle comprises: (i) a base structure, and (ii) a cup holder portion pivotably coupled to the base structure about a pivot axis, the cup holder portion comprising a first cup holder and a second cup holder, each of the first cup holder and the second cup holder defining a space configured to hold a container for liquid, and the cup holder portion is pivotable about the pivot axis to, from, and between a first position relative to the base structure and a second position relative to the base structure; wherein, the pivot axis extends through the space of the first cup holder. The second cup holder can pivot greater than or equal to 75 degrees about the pivot axis when the cup holder portion moves from the first position to the second position.

Abstract: There is disclosed in one example a computer-implemented anti-ransomware method, including: selecting a file for inspection; assigning the file to a type class according to a file type identifier; receiving an expected byte correlation for the type class; computing, according to a byte distribution of the file, a byte correlation for the file; comparing, via statistical analysis, the byte correlation to the expected byte correlation; and determining that the file has been compromised, including determining that the file has a byte correlation that deviates from the expected byte correlation by more than a threshold, taking a ransomware remediation action for the file.

Abstract: A center console for a vehicle includes a base. The base is coupled to the vehicle and includes a receptacle. The center console includes a body that is coupled to the base and that includes a shelf. The body is operable to move relative to the base between a retracted position, wherein the shelf covers the receptacle, and an extended position, wherein the receptacle is exposed.

Abstract: A vehicle floor console assembly includes a console body including a bin integrally formed with the console body, and a support structure integrally formed with the console body and extending from a rear wall of the bin. The support structure includes a support hinge knuckle. The vehicle floor console assembly further includes a lid including a lid hinge knuckle rotatably coupled to the support hinge knuckle, and an end panel coupled to the support structure. A front portion of the end panel together with the console body defines an end panel interface. The end panel interface is substantially flush with the rear wall of the bin.

Abstract: A vehicle floor console assembly includes a console body including a bin integrally formed with the console body, and a support structure integrally formed with the console body and extending from a rear wall of the bin. The support structure includes a support hinge knuckle. The vehicle floor console assembly further includes a lid including a lid hinge knuckle rotatably coupled to the support hinge knuckle, and an end panel coupled to the support structure. A front portion of the end panel together with the console body defines an end panel interface. The end panel interface is substantially flush with the rear wall of the bin.

Abstract: There is disclosed in one example a computer-implemented anti-ransomware method, including: selecting a file for inspection; assigning the file to a type class according to a file type identifier; receiving an expected byte correlation for the type class; computing, according to a byte distribution of the file, a byte correlation for the file; comparing, via statistical analysis, the byte correlation to the expected byte correlation; and determining that the file has been compromised, including determining that the file has a byte correlation that deviates from the expected byte correlation by more than a threshold, taking a ransomware remediation action for the file.

Abstract: There is disclosed in one example a ransomware mitigation engine, including: a processor; a convolutional neural network configured to provide file type identification (FTI) services including: identifying an access operation of a file as a write to the file or newly creating the file; computing a byte correlation factor for the file; classifying the file as belonging to a file type; determining with a screening confidence that the file type is correct for the file; determining that the screening confidence is below a screening confidence threshold; and circuitry and logic to provide heuristic analysis including: receiving notification that the confidence is below the confidence threshold; performing a statistical analysis of the file to determine a difference between an expected value and a computed value; determining from the difference, with a detection confidence, that the file has been compromised; and identifying the file as having been compromised by a ransomware attack.

Abstract: There is disclosed in one example a ransomware mitigation engine, including: a processor; a convolutional neural network configured to provide file type identification (FTI) services including: identifying an access operation of a file as a write to the file or newly creating the file; computing a byte correlation factor for the file; classifying the file as belonging to a file type; determining with a screening confidence that the file type is correct for the file; determining that the screening confidence is below a screening confidence threshold; and circuitry and logic to provide heuristic analysis including: receiving notification that the confidence is below the confidence threshold; performing a statistical analysis of the file to determine a difference between an expected value and a computed value; determining from the difference, with a detection confidence, that the file has been compromised; and identifying the file as having been compromised by a ransomware attack.

Abstract: A method of treating a rolled steel article, the method comprising: providing a first solution comprising an acid arranged to separate mill scale components from steel and a surfactant arranged to suspend separated mill scale components in the first solution; applying the first solution to a surface of the article for a prescribed duration; rinsing the first solution from the surface of the article by applying a rinse liquid to the article; directing a first flow of air onto the surface of the article to remove moisture from the surface of rolled steel article; and directing a second flow of air onto the surface of the article subsequent to application of the second solution until remaining moisture on the article is substantially removed.

Abstract: A diagnostic test kit that employs a lateral flow assay device and a plurality of assay reagents for detecting a test analyte within a test sample is disclosed. The assay reagents include detection probes that are capable of producing a detection signal representing the presence or quantity of the test analyte in the test sample. To further enhance detection accuracy, calibration probes are also used that are capable of producing a calibration signal representing the presence or quantity of a calibration analyte. The calibration signal may be utilized to calibrate the detection signal.

Abstract: A process is disclosed in which hot rolled or cold rolled steel articles, such as tube, pipe, plate and sheet are cleaned of mill scale, surface rust and oils. The cleaning compositions compromise a solution mixture of diluted hydrochloric acid, a non-anionic surfactant, a non-ionic, non denaturing detergent, sodium carbonate, a water conditioner and water and a drying compound of an aqueous alcohol solution. The solutions are used independently within the 5 step process that cleans, rinses and removes all moisture from the steel to provide a surface that optimizes subsequent manufacturing a fabrication process including welding, laser cutting and the coating process.

Abstract: A diagnostic test kit that employs a lateral flow assay device and a plurality of assay reagents for detecting a test analyte within a test sample is disclosed. The assay reagents include detection probes that are capable of producing a detection signal representing the presence or quantity of the test analyte in the test sample. To further enhance detection accuracy, calibration probes are also used that are capable of producing a calibration signal representing the presence or quantity of a calibration analyte. The calibration signal may be utilized to calibrate the detection signal.