mhurhangee/ep-ind-claims huggingface dataset:
A computer-implemented method for deriving an estimation of intracranial blood pressure, the method comprising: obtaining a first signal, using transcranial Doppler ultrasound data, indicative of cerebral blood vessel wall movement as a function of time; obtaining a second signal, using transcranial Doppler ultrasound data, indicative of cerebral blood flow velocity as a function of time; obtaining a third signal, indicative of blood pressure at a location outside of the brain as a function of time, the first, second and third signals corresponding to measurements over the same time period; detecting a phase offset of the second signal with respect to the first; and transforming the third signal by applying to the third signal a phase shift such that the phase-shifted third signal exhibits a phase offset with respect to the second signal of an amount equal to said detected phase offset, to thereby obtain a fourth signal indicative of estimated intracranial blood pressure. obtaining a first signal, using transcranial Doppler ultrasound data, indicative of cerebral blood vessel wall movement as a function of time; obtaining a second signal, using transcranial Doppler ultrasound data, indicative of cerebral blood flow velocity as a function of time; obtaining a third signal, indicative of blood pressure at a location outside of the brain as a function of time, the first, second and third signals corresponding to measurements over the same time period; detecting a phase offset of the second signal with respect to the first; and transforming the third signal by applying to the third signal a phase shift such that the phase-shifted third signal exhibits a phase offset with respect to the second signal of an amount equal to said detected phase offset, to thereby obtain a fourth signal indicative of estimated intracranial blood pressure.
A lifting clamp for handling loads, having at least two clamping jaws, wherein at least one of the clamping jaws has a toothing on a contact surface on which the load abuts when handled, wherein the toothing is interchangeable, characterized in that the toothing is formed by single-tooth or multi-tooth segments which are separately interchangeable.
A computer implemented method of generating a panoramic image of part of a target, comprising: providing a scanner having a source of penetrating radiation facing a detector having an array of sensors to detect the penetrating radiation; positioning the target between the source of penetrating radiation and the detector; performing a scan of the target by rotating the scanner and the array of sensors around the target; separately recording radiation received at each sensor at a plurality of positions spaced apart in the circumferential direction of rotation; generating a panoramic image by combining for each pixel of the panoramic image, radiation recorded from different sensor positions at different times during the rotation, the combined recorded radiation being selected to represent rays of radiation passing through a point on an initial curve; displaying the generated panoramic image and a graphical representation of the initial curve; receiving from a user instructions to alter the initial curve; generating a new panoramic image by combining for each pixel of the new panoramic image radiation recorded from different sensor positions at different times during the rotation, the combined recorded radiation being selected to represent rays of radiation passing through a point on the altered initial curve; displaying the new panoramic image; wherein the panoramic image and the new panoramic image are generated from the original recorded data. providing a scanner having a source of penetrating radiation facing a detector having an array of sensors to detect the penetrating radiation; positioning the target between the source of penetrating radiation and the detector; performing a scan of the target by rotating the scanner and the array of sensors around the target; separately recording radiation received at each sensor at a plurality of positions spaced apart in the circumferential direction of rotation; generating a panoramic image by combining for each pixel of the panoramic image, radiation recorded from different sensor positions at different times during the rotation, the combined recorded radiation being selected to represent rays of radiation passing through a point on an initial curve; displaying the generated panoramic image and a graphical representation of the initial curve; receiving from a user instructions to alter the initial curve; generating a new panoramic image by combining for each pixel of the new panoramic image radiation recorded from different sensor positions at different times during the rotation, the combined recorded radiation being selected to represent rays of radiation passing through a point on the altered initial curve; displaying the new panoramic image; wherein the panoramic image and the new panoramic image are generated from the original recorded data.
Optical scattering-based smoke detector (105, 205, 300) that comprises: a scattering zone accessible to the smoke; a printed circuit forming a supporting member and on which an electronic smoke detection unit is mounted; a light emitter mounted on said printed circuit; a light receiver, sensitive for at least some of the wavelengths of the light rays emitted by the emitter and mounted on said printed circuit; a first light reflector facing the emitter so as to direct the light emitted by the emitter into a detection zone in the scattering zone; and a second light reflector facing the receiver so as to direct, if there is smoke in the scattering zone, the scattered light coming from said detection zone onto the receiver; characterized in that a single mechanical part comprises the first and second light reflectors (135, 140) and a link (175, 310) resistant to the passage of the light from the first light reflector to the second light reflector, said link comprising an optical guide designed to carry a portion of the light emitted by the emitter to the receiver, the electronic smoke detection unit being designed to detect the absence of reception, by said receiver, of said portion of the light emitted by the emitter and to emit a signal representative of this absence of reception. a scattering zone accessible to the smoke; a printed circuit forming a supporting member and on which an electronic smoke detection unit is mounted; a light emitter mounted on said printed circuit; a light receiver, sensitive for at least some of the wavelengths of the light rays emitted by the emitter and mounted on said printed circuit; a first light reflector facing the emitter so as to direct the light emitted by the emitter into a detection zone in the scattering zone; and a second light reflector facing the receiver so as to direct, if there is smoke in the scattering zone, the scattered light coming from said detection zone onto the receiver; characterized in that a single mechanical part comprises the first and second light reflectors (135, 140) and a link (175, 310) resistant to the passage of the light from the first light reflector to the second light reflector, said link comprising an optical guide designed to carry a portion of the light emitted by the emitter to the receiver, the electronic smoke detection unit being designed to detect the absence of reception, by said receiver, of said portion of the light emitted by the emitter and to emit a signal representative of this absence of reception.
A pharmaceutical formulation, comprising an aqueous solution of a glutamic acid buffer and an antibody comprising a heavy chain variable domain sequence comprising SEQ ID NO:3 and a light chain variable domain sequence comprising SEQ ID NO:4, wherein said antibody specifically binds human IL-17 receptor A, and wherein: a) said formulation comprises a glutamic acid concentration of 5-30 mM ± 0.2 mM; b) said formulation comprises a pH of 4.5-5.2 ± 0.2; c) said formulation further comprises 2-4% proline (w/v) and 0.005-0.02% (w/v) polysorbate 20; d) said antibody is at a concentration of 100 to 150 mg/ml. a) said formulation comprises a glutamic acid concentration of 5-30 mM ± 0.2 mM; b) said formulation comprises a pH of 4.5-5.2 ± 0.2; c) said formulation further comprises 2-4% proline (w/v) and 0.005-0.02% (w/v) polysorbate 20; d) said antibody is at a concentration of 100 to 150 mg/ml.
A power device, comprising a first motor and a control panel, the control panel comprising a pushing rod connected to a machine body; a panel assembly reciprocatingly sliding on said pushing rod; and a locking assembly connected to said panel assembly, said locking assembly being adapted to lock said panel assembly on said pushing rod and unlock said panel assembly from said pushing rod; characterized by a self-propelled switch, electrically connected with the locking assembly and the first motor and adapted to start and close the first motor, wherein, when the self-propelled switch is closed, the first motor is configured to start and change the power device from a manual-power driving mode to a self-propelled driving mode.
A method of controlling tilt of an agricultural implement (100, 200, 300, 402, 502) being towed by a tow vehicle (400, 502) along a field, comprising: providing a controller, a first sensor, a second sensor, and an actuator (122, 124, 132, 138, 144, 150, 218, 220, 320, 326, 520, 524, 528) coupled to the implement (100, 200, 300, 402, 502); detecting a baseline level of the tow vehicle (400, 502) with the first sensor at a first location in the field, wherein the implement (100, 200, 300, 402, 502) is located at a second location in the field spaced rearward of the first location; characterized in: determining when the implement (100, 200, 300, 402, 502) will be at the first location in the field; measuring an implement level of the implement (100, 200, 300, 402, 502) with the second sensor once the implement (100, 200, 300, 402, 502) is at the first location; comparing the implement level to the baseline level with the controller; determining if the difference between the implement level and baseline level is within a tolerance range; and controlling the actuator (122, 124, 132, 138, 144, 150, 218, 220, 320, 326, 520, 524, 528) to adjust the implement (100, 200, 300, 402, 502) if the implement level is not within the tolerance range. providing a controller, a first sensor, a second sensor, and an actuator (122, 124, 132, 138, 144, 150, 218, 220, 320, 326, 520, 524, 528) coupled to the implement (100, 200, 300, 402, 502); detecting a baseline level of the tow vehicle (400, 502) with the first sensor at a first location in the field, wherein the implement (100, 200, 300, 402, 502) is located at a second location in the field spaced rearward of the first location; characterized in: determining when the implement (100, 200, 300, 402, 502) will be at the first location in the field; measuring an implement level of the implement (100, 200, 300, 402, 502) with the second sensor once the implement (100, 200, 300, 402, 502) is at the first location; comparing the implement level to the baseline level with the controller; determining if the difference between the implement level and baseline level is within a tolerance range; and controlling the actuator (122, 124, 132, 138, 144, 150, 218, 220, 320, 326, 520, 524, 528) to adjust the implement (100, 200, 300, 402, 502) if the implement level is not within the tolerance range. determining when the implement (100, 200, 300, 402, 502) will be at the first location in the field; measuring an implement level of the implement (100, 200, 300, 402, 502) with the second sensor once the implement (100, 200, 300, 402, 502) is at the first location; comparing the implement level to the baseline level with the controller; determining if the difference between the implement level and baseline level is within a tolerance range; and controlling the actuator (122, 124, 132, 138, 144, 150, 218, 220, 320, 326, 520, 524, 528) to adjust the implement (100, 200, 300, 402, 502) if the implement level is not within the tolerance range.
A method of producing a modified aluminium oxide supported Fischer-Tropsch catalyst, which comprises the following steps: - an initial step of forming a slurry by mixing aluminium oxide and a 2-valent metal compound capable of forming a spinel phase and a soluble compound of trivalent aluminium; - a shaping step in which solid material from the slurry is shaped into a solid precursor material; - a first calcination step in which the precursor material is calcined at a temperature in the range of 700 to 1300°C to produce a modified aluminium oxide support material including a metal aluminate spinel phase compound formed by the metal capable of forming a spinel phase and the aluminium oxide; - an impregnation step in which the modified aluminium oxide support material is impregnated with a source of cobalt; - a second calcination step in which the impregnated modified aluminium oxide support material is calcined at a temperature of at least 150°C to produce the modified aluminium oxide supported catalyst; - wherein the spinel forming metal compound is selected from compounds of cobalt, zinc, copper, magnesium, calcium, manganese, nickel, iron, and mixtures thereof; and - wherein the soluble compound of trivalent aluminium is selected from the group consisting of aluminium nitrate, aluminium chlorohydrol, aluminium sulphate, aluminium chloride, aluminium acetate, aluminium formate and mixtures thereof. - an initial step of forming a slurry by mixing aluminium oxide and a 2-valent metal compound capable of forming a spinel phase and a soluble compound of trivalent aluminium; - a shaping step in which solid material from the slurry is shaped into a solid precursor material; - a first calcination step in which the precursor material is calcined at a temperature in the range of 700 to 1300°C to produce a modified aluminium oxide support material including a metal aluminate spinel phase compound formed by the metal capable of forming a spinel phase and the aluminium oxide; - an impregnation step in which the modified aluminium oxide support material is impregnated with a source of cobalt; - a second calcination step in which the impregnated modified aluminium oxide support material is calcined at a temperature of at least 150°C to produce the modified aluminium oxide supported catalyst; - wherein the spinel forming metal compound is selected from compounds of cobalt, zinc, copper, magnesium, calcium, manganese, nickel, iron, and mixtures thereof; and - wherein the soluble compound of trivalent aluminium is selected from the group consisting of aluminium nitrate, aluminium chlorohydrol, aluminium sulphate, aluminium chloride, aluminium acetate, aluminium formate and mixtures thereof.
A computer-implemented method for training an artificial intelligence module for an advanced driver assistance system for obtaining a depth model of a scene, the method comprising the steps of: acquiring multiple sets of training data, each set of training data comprising a camera image of the scene taken by a camera of a vehicle in the visible optical range, a depth image of the scene taken by a flash LIDAR sensor of the vehicle, and depth measurement data of the scene, wherein the depth measurement data are obtained by combining images of a plurality of flash LIDAR sensors; and training the artificial intelligence module for the advanced driver assistance system with the multiple sets of training data, wherein the camera image and the depth image are used as input for the artificial intelligence module, wherein the artificial intelligence module is trained for outputting the depth model of the scene, wherein the depth measurement data are used as ground truth for the depth model, wherein the images of the plurality of flash LIDAR sensors are combined in order to obtain the depth measurement data of the scene from a perspective of the flash LIDAR sensor of the vehicle, wherein the obtained depth measurement data of the scene comprise a higher resolution than each of the images of the plurality of flash LIDAR sensors, and wherein the depth model of the scene comprises a higher resolution than the depth image of the scene of the flash LIDAR sensor. acquiring multiple sets of training data, each set of training data comprising a camera image of the scene taken by a camera of a vehicle in the visible optical range, a depth image of the scene taken by a flash LIDAR sensor of the vehicle, and depth measurement data of the scene, wherein the depth measurement data are obtained by combining images of a plurality of flash LIDAR sensors; and a camera image of the scene taken by a camera of a vehicle in the visible optical range, a depth image of the scene taken by a flash LIDAR sensor of the vehicle, and depth measurement data of the scene, wherein the depth measurement data are obtained by combining images of a plurality of flash LIDAR sensors; and training the artificial intelligence module for the advanced driver assistance system with the multiple sets of training data, wherein the camera image and the depth image are used as input for the artificial intelligence module, wherein the artificial intelligence module is trained for outputting the depth model of the scene, wherein the depth measurement data are used as ground truth for the depth model, wherein the images of the plurality of flash LIDAR sensors are combined in order to obtain the depth measurement data of the scene from a perspective of the flash LIDAR sensor of the vehicle, wherein the obtained depth measurement data of the scene comprise a higher resolution than each of the images of the plurality of flash LIDAR sensors, and wherein the depth model of the scene comprises a higher resolution than the depth image of the scene of the flash LIDAR sensor.
A mobile station characterized by comprising: a reception means for receiving a first signal of Radio Resource Control, the first signal including a first identifier associated with a first Channel State Information -Reference Signal resource and a second identifier associated with a second CSI-RS resource; wherein the reception means for receiving a second signal in a Physical Downlink Control Channel (PDCCH), the second signal including at least one of a first value corresponding to the first identifier and a second value corresponding to the second identifier; a measurement means for determining a first channel measurement for a first Channel Quality Indicator value based on a first CSI-RS within the first CSI-RS resource in a case where the second signal includes the first value, wherein the measurement means for determining the first channel measurement for the first CQI value based on a second CSI-RS within the second CSI-RS resource in a case where the second signal includes the second value; and a transmission means for reporting CSI comprising the first CQI value. a reception means for receiving a first signal of Radio Resource Control, the first signal including a first identifier associated with a first Channel State Information -Reference Signal resource and a second identifier associated with a second CSI-RS resource; wherein the reception means for receiving a second signal in a Physical Downlink Control Channel (PDCCH), the second signal including at least one of a first value corresponding to the first identifier and a second value corresponding to the second identifier; a measurement means for determining a first channel measurement for a first Channel Quality Indicator value based on a first CSI-RS within the first CSI-RS resource in a case where the second signal includes the first value, wherein the measurement means for determining the first channel measurement for the first CQI value based on a second CSI-RS within the second CSI-RS resource in a case where the second signal includes the second value; and a transmission means for reporting CSI comprising the first CQI value.
A load control method, comprising: sending, by a network device, a system broadcast message, wherein the system broadcast message comprises a first configuration parameter, and the first configuration parameter is used to control whether a terminal performs a two-step random access procedure: wherein the first configuration parameter comprises second indication information and a first control parameter, wherein the second indication information is used for the terminal to determine whether the terminal is capable of performing the two-step random access procedure; the first control parameter is used to judge whether the terminal performs a switching from the two-step random access procedure to a four-step random access procedure, in a case that the second indication information indicates that the terminal is capable of performing the two-step random access procedure. sending, by a network device, a system broadcast message, wherein the system broadcast message comprises a first configuration parameter, and the first configuration parameter is used to control whether a terminal performs a two-step random access procedure: wherein the first configuration parameter comprises second indication information and a first control parameter, wherein the second indication information is used for the terminal to determine whether the terminal is capable of performing the two-step random access procedure; the first control parameter is used to judge whether the terminal performs a switching from the two-step random access procedure to a four-step random access procedure, in a case that the second indication information indicates that the terminal is capable of performing the two-step random access procedure.
A method for evaluating renal status in a subject, comprising: performing one or more assays configured to detect Stanniocalcin-1, and optionally further Antithrombin-III, Toll-like receptor 2, Triiodothyronine, Thyroxine, Extracellular matrix protein 1, Coagulation factor XIII A chain, Coagulation factor XIII B chain, Interleukin-17F, Interleukin-22, Vitronectin, Progesterone, Estradiol, Growth/differentiation factor 15, and Proprotein convertase subtilisin/kexin type 9 on a body fluid sample obtained from the subject to provide an assay result; and correlating the assay result(s) to the renal status of the subject, wherein said correlation step comprises correlating the assay result(s) to one or more of diagnosis, risk stratification, prognosis, classifying and monitoring of the renal status of the subject. performing one or more assays configured to detect Stanniocalcin-1, and optionally further Antithrombin-III, Toll-like receptor 2, Triiodothyronine, Thyroxine, Extracellular matrix protein 1, Coagulation factor XIII A chain, Coagulation factor XIII B chain, Interleukin-17F, Interleukin-22, Vitronectin, Progesterone, Estradiol, Growth/differentiation factor 15, and Proprotein convertase subtilisin/kexin type 9 on a body fluid sample obtained from the subject to provide an assay result; and correlating the assay result(s) to the renal status of the subject, wherein said correlation step comprises correlating the assay result(s) to one or more of diagnosis, risk stratification, prognosis, classifying and monitoring of the renal status of the subject.