mhurhangee/ep-ind-claims huggingface dataset:
A method comprising: feeding first tokens that have been generated from a dynamic malware analysis report for a file into a trained neural network that includes an embedding layer, wherein the trained neural network has been trained to classify files as malware or benign based on corresponding dynamic malware analysis reports; extracting first feature values output from a dense layer of the trained neural network after feeding the first tokens into the trained neural network; generating second feature values based, at least in part, on at least a subset of first n-grams generated from the dynamic malware analysis report and statistical importance values calculated for the subset of first n-grams; feeding first input into a first trained boosting model, wherein the first input is based, at least in part, on the first feature values and the second feature values, wherein the first trained boosting model has been trained to classify files as malware based, at least partly, on n-grams based features, and feature values from dense layers of the trained neural network; and indicating whether the file is malware or benign based, at least partly, on output of the first trained boosting model. feeding first tokens that have been generated from a dynamic malware analysis report for a file into a trained neural network that includes an embedding layer, wherein the trained neural network has been trained to classify files as malware or benign based on corresponding dynamic malware analysis reports; extracting first feature values output from a dense layer of the trained neural network after feeding the first tokens into the trained neural network; generating second feature values based, at least in part, on at least a subset of first n-grams generated from the dynamic malware analysis report and statistical importance values calculated for the subset of first n-grams; feeding first input into a first trained boosting model, wherein the first input is based, at least in part, on the first feature values and the second feature values, wherein the first trained boosting model has been trained to classify files as malware based, at least partly, on n-grams based features, and feature values from dense layers of the trained neural network; and wherein the first input is based, at least in part, on the first feature values and the second feature values, wherein the first trained boosting model has been trained to classify files as malware based, at least partly, on n-grams based features, and feature values from dense layers of the trained neural network; and indicating whether the file is malware or benign based, at least partly, on output of the first trained boosting model.
A propylene/α-olefin copolymer comprising 60 to 90 mol% of structural units derived from propylene (a) and 10 to 40 mol% of structural units derived from α-olefins having 4 or more carbon atoms (b) wherein (a)+(b)=100 mol%, and wherein the propylene/α-olefin copolymer optionally contains structural units derived from a polymerizable olefin other than propylene (a) and the α-olefins having 4 or more carbon atoms (b) in an amount of not more than 10 mol% with respect to 100 mol% of the total of (a) and (b), the propylene/α-olefin copolymer satisfying the following requirements (i) to (iii) and (vi): (i) A weight average molecular weight (Mw) as measured by GPC as described in the specification is 3,000 to 40,000; (ii) A melting point (Tm) as measured by DSC as described in the specification is 60 to 90°C; (iii) A half width of a melting point peak as measured by DSC as described in the specification is 1 to 20°C; and (vi) A number of vinylidene groups per 1000 carbon atoms as measured by 1 H-NMR as described in the specification is 0.5 to 5/1000 carbons. (i) A weight average molecular weight (Mw) as measured by GPC as described in the specification is 3,000 to 40,000; (ii) A melting point (Tm) as measured by DSC as described in the specification is 60 to 90°C; (iii) A half width of a melting point peak as measured by DSC as described in the specification is 1 to 20°C; and (vi) A number of vinylidene groups per 1000 carbon atoms as measured by 1 H-NMR as described in the specification is 0.5 to 5/1000 carbons.
Window panel for a body structure of a vehicle, especially for an airframe of an aircraft or spacecraft, comprising: a first skin extending over a first side of the panel to form an outer skin of the vehicle body structure; a second skin extending over a second side of the panel to form an inner skin of the vehicle body structure; a core, especially a foam core, located between and covered by the first and second skins (2, 4) in a sandwich structure; and a plurality of window apertures provided in the panel formed through the first skin, the core, and the second skin wherein the plurality of window apertures are arranged spaced at intervals laterally adjacent one another along the panel; wherein the first skin and the second skin are joined to one another to form a monolithic region at or around a periphery of each window aperture, wherein the monolithic region forms an attachment region at which a window assembly is fixable in the panel by means of a retainer element formed as an oval-shaped or ring-shaped plate which is configured for being clamped over the window assembly and which is mounted and fixed on fastening elements in the form of bolts which are fixed or secured to the panel in the monolithic region around the periphery of each window aperture to secure and hold the window assembly. a first skin extending over a first side of the panel to form an outer skin of the vehicle body structure; a second skin extending over a second side of the panel to form an inner skin of the vehicle body structure; a core, especially a foam core, located between and covered by the first and second skins (2, 4) in a sandwich structure; and a plurality of window apertures provided in the panel formed through the first skin, the core, and the second skin wherein the plurality of window apertures are arranged spaced at intervals laterally adjacent one another along the panel; wherein the first skin and the second skin are joined to one another to form a monolithic region at or around a periphery of each window aperture, wherein the monolithic region forms an attachment region at which a window assembly is fixable in the panel by means of a retainer element formed as an oval-shaped or ring-shaped plate which is configured for being clamped over the window assembly and which is mounted and fixed on fastening elements in the form of bolts which are fixed or secured to the panel in the monolithic region around the periphery of each window aperture to secure and hold the window assembly.
An Al-Zn-Si-Mg alloy coated steel strip that comprises a coating of an Al-Zn-Si-Mg alloy on a steel strip, with the coating thickness being greater than 7 micron and less than 30 micron and the costing thickness variations being no more than 40% in any given 5mm diameter section of the coating, with the alloy comprising in % by weight 40 to 60% Al, 40 to 60% Zn, 0.3 to 3% Si, and 0.3 to 10% Mg and optionally Sr in a range of more than 500 ppm and less than 3000 ppm as a deliberate alloying addition, optionally one or more of Fe, V and Cr and other elements that are present as unavoidable impurities, with the microstructure of the coating comprising Mg 2 Si particles, with the distribution of the Mg 2 Si particles being such that (a) there is no more than 10% by weight of Mg 2 Si particles in a surface region of the coating that has a thickness that is at least 5% and less than 30% of the total thickness of the coating, (b) at least 80 wt.% of the Mg 2 Si particles are confined to a central region of the coating, and (c) a region that is adjacent the steel strip is at least substantially free of Mg 2 Si particles.
Container for a product, in particular a cosmetic product, the container comprising: - a base part with a lower end and an upper end, - a top part with a lower end and an upper end, wherein the base part comprises: * a wall comprising an external thread, the external thread being located on the outside wall at the upper end of the base part; * a platform on extensions that protrude upwards from the bottom of the base part; and * a ring structure protruding upwards from the bottom of the base part and located between the platform and the wall of the base part, and wherein the top part comprises an internal thread located on the inside of the top part, at the lower end of the top part, and wherein the external thread is engageable with the internal thread to lock the base part on the top part in an assembled state of the container. - a base part with a lower end and an upper end, - a top part with a lower end and an upper end, wherein the base part comprises: * a wall comprising an external thread, the external thread being located on the outside wall at the upper end of the base part; * a platform on extensions that protrude upwards from the bottom of the base part; and * a ring structure protruding upwards from the bottom of the base part and located between the platform and the wall of the base part, and wherein the top part comprises an internal thread located on the inside of the top part, at the lower end of the top part, and wherein the external thread is engageable with the internal thread to lock the base part on the top part in an assembled state of the container. * a wall comprising an external thread, the external thread being located on the outside wall at the upper end of the base part; * a platform on extensions that protrude upwards from the bottom of the base part; and * a ring structure protruding upwards from the bottom of the base part and located between the platform and the wall of the base part, and
An optical wavelength conversion member comprising a ceramic sintered body, wherein the ceramic sintered body has a fluorescent phase containing, as a main component, fluorescent crystal grains that generate fluorescence in response to incident light, and a translucent phase containing translucent crystal grains as a main component, wherein the optical wavelength conversion member further comprises a metal layer having light reflectivity and provided on a side of the ceramic sintered body opposite the side on which the light is incident, and a dielectric multilayer film including dielectric layers (5a, 5b) having different optical refractive indices and provided between the ceramic sintered body and the metal layer, characterized in that the dielectric multilayer film has an overall thickness of 300 nm or less. a fluorescent phase containing, as a main component, fluorescent crystal grains that generate fluorescence in response to incident light, and a translucent phase containing translucent crystal grains as a main component, wherein the optical wavelength conversion member further comprises a metal layer having light reflectivity and provided on a side of the ceramic sintered body opposite the side on which the light is incident, and a dielectric multilayer film including dielectric layers (5a, 5b) having different optical refractive indices and provided between the ceramic sintered body and the metal layer, characterized in that the dielectric multilayer film has an overall thickness of 300 nm or less.
A surface protection film comprising at least a carrier layer and an adhesion layer, wherein the adhesion layer contains at least a styrene block copolymer and a polymer, characterised in that the polymer is a polyvinyl butyral.
A composition comprising an alginate sulfate and transforming growth factor β1 (TGF-β1) polypeptide non-covalently associated with a sulfate group of the alginate sulfate, for use in inducing an immunotolerant response, treating or suppressing an autoimmune disease or disorder, or reducing or preventing an allograft rejection in a subject.
A compound for use in the treatment of narcolepsy or excessive daytime sleepiness in a patient, wherein the compound is a histamine-3 receptor inverse agonist N-[4-(1-Cyclobutylpiperidin-4-yloxy)phenyl]-2-(morpholin-4-yl)acetamide or a pharmaceutically acceptable salt thereof.
A method for producing a yeast extract having an increased protein yield, the method comprising: i) treating yeast cells with a purified phospholipase; and ii) separating the yeast extract from the treated yeast cells; wherein the yeast cells are subjected to protein hydrolysis by a proteolytic enzyme before, after, or during step i), wherein the phospholipase is selected from a phospholipase A 1 or a phospholipase A 2, and wherein the phospholipase is added in an amount sufficient to achieve an increased protein yield of at least 2% compared to a similar extraction process where no treatment with a phospholipase takes place. i) treating yeast cells with a purified phospholipase; and ii) separating the yeast extract from the treated yeast cells;
A method of generating haptics for a video, comprising: tracking motion of an object in the video, the video including a plurality of image frames; performing image processing on the plurality of image frames; detecting an event based on the image processing to generate a detected event; obtaining sensor information associated with the plurality of image frames, the sensor information including one or more sensor measurements of the motion of the object; generating a first estimate of the motion of the object based on the plurality of image frames and a second estimate of the motion of the object based on the one or more sensor measurements; updating the first estimate of the motion of the object with the second estimate of the motion of the object to generate an updated first estimate, and providing a control signal based on the detected event and the updated first estimate or updating the second estimate of the motion of the object with the first estimate of the motion of the object to generate an updated second estimate, and providing the control signal based on the detected event and the updated second estimate, the control signal being configured to cause haptic feedback for the motion of the object in the video; and providing the haptic feedback based on the control signal, the providing of the haptic feedback occurring in synchronization with the motion of the object in the video. tracking motion of an object in the video, the video including a plurality of image frames; performing image processing on the plurality of image frames; detecting an event based on the image processing to generate a detected event; obtaining sensor information associated with the plurality of image frames, the sensor information including one or more sensor measurements of the motion of the object; generating a first estimate of the motion of the object based on the plurality of image frames and a second estimate of the motion of the object based on the one or more sensor measurements; updating the first estimate of the motion of the object with the second estimate of the motion of the object to generate an updated first estimate, and providing a control signal based on the detected event and the updated first estimate or updating the second estimate of the motion of the object with the first estimate of the motion of the object to generate an updated second estimate, and providing the control signal based on the detected event and the updated second estimate, the control signal being configured to cause haptic feedback for the motion of the object in the video; and providing the haptic feedback based on the control signal, the providing of the haptic feedback occurring in synchronization with the motion of the object in the video.
A multi-point sound mixing method, comprising: receiving audio code streams from a plurality of meeting places, wherein each meeting place comprises one or more meeting sections, at least one of the meeting places comprising a plurality of meeting sections, wherein each of the meeting sections respectively corresponds to a respective different position in the meeting place, associated with a respective position information; associating each of the received audio code streams with the respective position information corresponding to the one or more meeting sections of the meeting place to which each of the received audio streams corresponds; mixing the audio code streams being associated with the same position information into respectively corresponding mixed audio code streams; and outputting each of the mixed audio code streams to one of the meeting sections in each meeting place, in correspondence with the position information to which each of said mixed audio code streams and each of said meeting sections correspond. receiving audio code streams from a plurality of meeting places, wherein each meeting place comprises one or more meeting sections, at least one of the meeting places comprising a plurality of meeting sections, wherein each of the meeting sections respectively corresponds to a respective different position in the meeting place, associated with a respective position information; associating each of the received audio code streams with the respective position information corresponding to the one or more meeting sections of the meeting place to which each of the received audio streams corresponds; mixing the audio code streams being associated with the same position information into respectively corresponding mixed audio code streams; and outputting each of the mixed audio code streams to one of the meeting sections in each meeting place, in correspondence with the position information to which each of said mixed audio code streams and each of said meeting sections correspond.
A method of automatically detecting faults during both encryption and decryption operations by said cryptographic process-executing a cryptographic process by determining the parity of portions of data, in which data segments are encrypted using a non-linear algorithm, said method comprising: computing an output parity bit from a selected step of said algorithm for a selected data segment, based on the input value of that segment, comparing the actual output parity bit of said selected segment with the computed output parity bit for that segment, and determining whether a fault exists, based on whether the actual output parity bit matches the computed output parity bit for said selected segment, said method being characterized by: computing an input parity bit for said selected data segment input to said selected step of said algorithm, based on the output value of that segment from said selected step of said algorithm, comparing the actual input parity bit of said selected segment input to said selected step of said algorithm, with the computed input parity bit for that data segment, and determining whether a fault exists, based on whether the actual input parity bit matches the computed input parity bit for said selected segment. computing an output parity bit from a selected step of said algorithm for a selected data segment, based on the input value of that segment, comparing the actual output parity bit of said selected segment with the computed output parity bit for that segment, and determining whether a fault exists, based on whether the actual output parity bit matches the computed output parity bit for said selected segment, said method being characterized by: computing an input parity bit for said selected data segment input to said selected step of said algorithm, based on the output value of that segment from said selected step of said algorithm, comparing the actual input parity bit of said selected segment input to said selected step of said algorithm, with the computed input parity bit for that data segment, and determining whether a fault exists, based on whether the actual input parity bit matches the computed input parity bit for said selected segment. computing an input parity bit for said selected data segment input to said selected step of said algorithm, based on the output value of that segment from said selected step of said algorithm, comparing the actual input parity bit of said selected segment input to said selected step of said algorithm, with the computed input parity bit for that data segment, and determining whether a fault exists, based on whether the actual input parity bit matches the computed input parity bit for said selected segment.
A method for setting a tuning parameter for an Automated Driving System of a vehicle, the method comprising: receiving environmental data from a perception system of the vehicle, said environmental data comprising a plurality of environmental parameters; determining, by means of a self-learning model, an environmental scenario based on the received environmental data; setting the tuning parameter for the ADS based on the self-learning model and the determined environmental scenario, the tuning parameter defining a dynamic parameter of the ADS; receiving at least one signal representative of a vehicle user feedback on the set tuning parameter; updating the self-learning model for the set tuning parameter for the identified environmental scenario based on the received vehicle user feedback; wherein the self-learning model comprises a reinforcement learning algorithm and wherein the step of updating the self-learning model comprises penalizing or rewarding the reinforcement learning algorithm based on the received vehicle user feedback; and characterized in that the step of updating the self-learning model comprises rewarding the reinforcement learning algorithm if no vehicle user feedback is received. receiving environmental data from a perception system of the vehicle, said environmental data comprising a plurality of environmental parameters; determining, by means of a self-learning model, an environmental scenario based on the received environmental data; setting the tuning parameter for the ADS based on the self-learning model and the determined environmental scenario, the tuning parameter defining a dynamic parameter of the ADS; receiving at least one signal representative of a vehicle user feedback on the set tuning parameter; updating the self-learning model for the set tuning parameter for the identified environmental scenario based on the received vehicle user feedback; wherein the self-learning model comprises a reinforcement learning algorithm and wherein the step of updating the self-learning model comprises penalizing or rewarding the reinforcement learning algorithm based on the received vehicle user feedback; and characterized in that the step of updating the self-learning model comprises rewarding the reinforcement learning algorithm if no vehicle user feedback is received.