mhurhangee/patent-ind-claim-en huggingface dataset:
A method for wireless communications by a user equipment, UE , comprising: determining one or more locations in time and frequency for receiving system information for machine type communication, MTC, over a bundled transmission; and decoding the system information received at the locations over the bundled transmission, wherein: the determination of the locations is dependent, at least in part, on one or more services supported by the UE; and the determination of the locations is dependent, at least in part, on whether the UE supports multicast broadcast media service, MBMS. determining one or more locations in time and frequency for receiving system information for machine type communication, MTC, over a bundled transmission; and decoding the system information received at the locations over the bundled transmission, wherein: the determination of the locations is dependent, at least in part, on one or more services supported by the UE; and the determination of the locations is dependent, at least in part, on whether the UE supports multicast broadcast media service, MBMS. the determination of the locations is dependent, at least in part, on one or more services supported by the UE; and the determination of the locations is dependent, at least in part, on whether the UE supports multicast broadcast media service, MBMS.
A dried animal food product for promoting dental efficacy comprising: 20 wt% to 60 wt% of a hydrolyzed protein comprising one or more amino groups; and a high amylopectin content starch having an amylopectin content of at least 85% and comprising reducing sugars in an amount of 0.5% to 20% dry weight based on the weight of high amylopectin content starch, wherein the one or more amino groups in the hydrolyzed protein are covalently bonded to the one or more reducing sugars in the high amylopectin content starch. 20 wt% to 60 wt% of a hydrolyzed protein comprising one or more amino groups; and a high amylopectin content starch having an amylopectin content of at least 85% and comprising reducing sugars in an amount of 0.5% to 20% dry weight based on the weight of high amylopectin content starch, wherein the one or more amino groups in the hydrolyzed protein are covalently bonded to the one or more reducing sugars in the high amylopectin content starch.
An apparatus (10; 210) for applying an engagement collar to a group of articles , comprising: a) an application area defining a horizontal support surface for receiving a group of articles ; b) a horizontal press plate positioned above the support surface and mounted for vertical movement relative to the support surface ; and c) an actuation assembly operatively connected to the press plate for moving the press plate relative to the support surface to apply an engagement collar to a group of articles positioned on the support surface within the application area, characterised in that the actuation assembly includes an actuation lever that is located below the press plate in front of the application area. a) an application area defining a horizontal support surface for receiving a group of articles ; b) a horizontal press plate positioned above the support surface and mounted for vertical movement relative to the support surface ; and c) an actuation assembly operatively connected to the press plate for moving the press plate relative to the support surface to apply an engagement collar to a group of articles positioned on the support surface within the application area, characterised in that the actuation assembly includes an actuation lever that is located below the press plate in front of the application area.
A method, performed by at least one apparatus, the method comprising: - collecting radio fingerprints, each fingerprint comprising a radio signal measurement of a radio environment of a mobile device and a respective location estimate; characterized in that the method further comprises: - determining whether the location of the mobile device is part of a routine or deviates from a routine; - in case the location of the mobile device is part of a routine, at least partially performing the collecting of radio fingerprints with a reduced collecting scope compared to a collecting scope used in case the location of the mobile device deviates from a routine, wherein a respective routine is divided into multiple segments (610 - 670), wherein, for a certain occurrence of a respective routine, radio fingerprints are collected only for a part of the segments of the respective routine; - wherein the collecting of radio fingerprints, when the location of the mobile device is part of a routine, is configured such that, after collecting radio fingerprints for multiple occurrences of the respective routine, a coverage of the respective routine by the collected radio fingerprints is increased by collecting radio fingerprints of different segments of the respective routine for multiple occurrences of the respective routine. - collecting radio fingerprints, each fingerprint comprising a radio signal measurement of a radio environment of a mobile device and a respective location estimate; - determining whether the location of the mobile device is part of a routine or deviates from a routine; - in case the location of the mobile device is part of a routine, at least partially performing the collecting of radio fingerprints with a reduced collecting scope compared to a collecting scope used in case the location of the mobile device deviates from a routine, wherein a respective routine is divided into multiple segments (610 - 670), wherein, for a certain occurrence of a respective routine, radio fingerprints are collected only for a part of the segments of the respective routine; - wherein the collecting of radio fingerprints, when the location of the mobile device is part of a routine, is configured such that, after collecting radio fingerprints for multiple occurrences of the respective routine, a coverage of the respective routine by the collected radio fingerprints is increased by collecting radio fingerprints of different segments of the respective routine for multiple occurrences of the respective routine.
A vehicle location accuracy enhancement system , the system comprising: at least one location determining system configured to generate sensor location solutions; at least one digital active phase array radar system configured to generate a profiled terrain including terrain altitude information; at least one memory to store at least a terrain altitude profile database and operating instructions ; at least one controller in communication with the at least one location determining system , the at least one digital active phase array radar and the at least one memory , the at least one controller configured to implement the operating instructions in the memory to conduct profile matching between the generated profiled terrain from the at least one digital active phase array radar and terrain altitude information in the terrain altitude profile database to determine profiled location solutions, the at least one controller further configured to at least augment sensor location solutions from the at least one location determining system with the profiled location solutions to enhance accuracy of the sensor location solutions; and wherein the at least one location determining system includes a global navigation satellite system, GNSS, receiver , characterized in that the at least one controller is configured to determine location errors in the GNSS based on the profiled location solutions, the at least one controller is further configured to broadcast the determined location errors. at least one location determining system configured to generate sensor location solutions; at least one digital active phase array radar system configured to generate a profiled terrain including terrain altitude information; at least one memory to store at least a terrain altitude profile database and operating instructions ; at least one controller in communication with the at least one location determining system , the at least one digital active phase array radar and the at least one memory , the at least one controller configured to implement the operating instructions in the memory to conduct profile matching between the generated profiled terrain from the at least one digital active phase array radar and terrain altitude information in the terrain altitude profile database to determine profiled location solutions, the at least one controller further configured to at least augment sensor location solutions from the at least one location determining system with the profiled location solutions to enhance accuracy of the sensor location solutions; and wherein the at least one location determining system includes a global navigation satellite system, GNSS, receiver , characterized in that the at least one controller is configured to determine location errors in the GNSS based on the profiled location solutions, the at least one controller is further configured to broadcast the determined location errors.
A computer-implemented method comprising: receiving operations data from a plurality of networked agents ; storing the operations data in a historical data store ; building a machine learning model using the historical data store and a dependency graph ; receiving an indication of a user experience problem , wherein the user experience problem is associated with observed operations data ; converting the observed operations data into a set of observed features and an observed outcome that corresponds to the user experience problem; generating , based on the set of observed features, a first predicted outcom and a set of candidate causes of the user experience according to the machine learning model; determining that the observed outcome is within range of the first predicted outcome; and identifying the set of candidate causes of the user experience problem when the observed outcome is within range of the first predicted outcome. receiving operations data from a plurality of networked agents ; storing the operations data in a historical data store ; building a machine learning model using the historical data store and a dependency graph ; receiving an indication of a user experience problem , wherein the user experience problem is associated with observed operations data ; converting the observed operations data into a set of observed features and an observed outcome that corresponds to the user experience problem; generating , based on the set of observed features, a first predicted outcom and a set of candidate causes of the user experience according to the machine learning model; determining that the observed outcome is within range of the first predicted outcome; and identifying the set of candidate causes of the user experience problem when the observed outcome is within range of the first predicted outcome.
A cell reprogramming method wherein differentiated cells are reprogrammed into arbitrary differentiated cells having a different expression type, comprising: subjecting a mixture of differentiated cells and a differentiation-inducing medium of the desired differentiated cells to physical stimulation which promotes an environmental influx; and culturing the mixture subjected to the physical stimulation for a predetermined time to obtain reprogrammed cells, said physical stimulation being chosen from (a), (b) or (c): (a) treating the mixture of the culture medium and the differentiated cells with ultrasonic waves having an output intensity of 0.5 W/cm 2 to 3 W/cm 2 for 1 to 5 seconds, (b) irradiating a pulsed laser or light-emitting diode beam having a wavelength band of 300 to 900 nm for 1 to 10 seconds to the mixture of the culture medium and the differentiated cells, (c) exposing the mixture of the culture medium and the differentiated cells to a temperature condition of 40 to 50°C for 1 to 10 minutes and then to a temperature condition of 0 to 4°C for 5 to 10 seconds. subjecting a mixture of differentiated cells and a differentiation-inducing medium of the desired differentiated cells to physical stimulation which promotes an environmental influx; and culturing the mixture subjected to the physical stimulation for a predetermined time to obtain reprogrammed cells, said physical stimulation being chosen from (a), (b) or (c): (a) treating the mixture of the culture medium and the differentiated cells with ultrasonic waves having an output intensity of 0.5 W/cm 2 to 3 W/cm 2 for 1 to 5 seconds, (b) irradiating a pulsed laser or light-emitting diode beam having a wavelength band of 300 to 900 nm for 1 to 10 seconds to the mixture of the culture medium and the differentiated cells, (c) exposing the mixture of the culture medium and the differentiated cells to a temperature condition of 40 to 50°C for 1 to 10 minutes and then to a temperature condition of 0 to 4°C for 5 to 10 seconds. (a) treating the mixture of the culture medium and the differentiated cells with ultrasonic waves having an output intensity of 0.5 W/cm 2 to 3 W/cm 2 for 1 to 5 seconds, (b) irradiating a pulsed laser or light-emitting diode beam having a wavelength band of 300 to 900 nm for 1 to 10 seconds to the mixture of the culture medium and the differentiated cells, (c) exposing the mixture of the culture medium and the differentiated cells to a temperature condition of 40 to 50°C for 1 to 10 minutes and then to a temperature condition of 0 to 4°C for 5 to 10 seconds.
A system (100; 500), comprising: a memory (170; 508, 510); an encryptor module configured to output ciphertext based on plaintext input; a timer module configured to output at least a first timing signal and a second timing signal; a noise generator module configured to generate noise data in accordance with a mimic function, wherein the mimic function is configured to mimic the ciphertext output by the encryptor module; and at least one processor coupled to the memory and configured to: input the plaintext into the encryptor module; write the ciphertext output from the encryptor module into the memory; input the ciphertext from the memory into the noise generator module; in response to receiving the first timing signal from the timer module, output the ciphertext from the memory to at least one output device; and in response to receiving the second timing signal from the timer module, output the noise data generated by the noise generator module to the at least one output device. a memory (170; 508, 510); an encryptor module configured to output ciphertext based on plaintext input; a timer module configured to output at least a first timing signal and a second timing signal; a noise generator module configured to generate noise data in accordance with a mimic function, wherein the mimic function is configured to mimic the ciphertext output by the encryptor module; and at least one processor coupled to the memory and configured to: input the plaintext into the encryptor module; write the ciphertext output from the encryptor module into the memory; input the ciphertext from the memory into the noise generator module; in response to receiving the first timing signal from the timer module, output the ciphertext from the memory to at least one output device; and in response to receiving the second timing signal from the timer module, output the noise data generated by the noise generator module to the at least one output device. input the plaintext into the encryptor module; write the ciphertext output from the encryptor module into the memory; input the ciphertext from the memory into the noise generator module; in response to receiving the first timing signal from the timer module, output the ciphertext from the memory to at least one output device; and in response to receiving the second timing signal from the timer module, output the noise data generated by the noise generator module to the at least one output device.
A sensor apparatus for use in obtaining information relating to the presence of metal particles within a sample of a substance to be tested, the apparatus comprising: a printed circuit board (PCB) defining a substrate comprising an aperture for receiving a sample of a substance to be tested; magnetic field generating means for generating a magnetic field for application to a sample received in the aperture in use; and sensing means for sensing the result of interaction between the generated magnetic field and a sample received in the aperture in use, the sensed result of the interaction being usable to determine a quantity of ferromagnetic particles in the sample; wherein the substrate includes an electrically conductive coil printed thereon that circumferentially surrounds said aperture for receiving the sample, the electrically conductive coil forming part of said sensing means. a printed circuit board (PCB) defining a substrate comprising an aperture for receiving a sample of a substance to be tested; magnetic field generating means for generating a magnetic field for application to a sample received in the aperture in use; and sensing means for sensing the result of interaction between the generated magnetic field and a sample received in the aperture in use, the sensed result of the interaction being usable to determine a quantity of ferromagnetic particles in the sample; wherein the substrate includes an electrically conductive coil printed thereon that circumferentially surrounds said aperture for receiving the sample, the electrically conductive coil forming part of said sensing means.
A system comprising: (a) a data acquisition module configured to produce a data set comprising one or more ERG parameter value(s); (b) a data processing module configured to process the data set by applying one or more transformation analyses to the data set to produce a statistically derived probability score, wherein said probability score represents a probability that a subject suffers from a psychiatric disease or has a predisposition thereto from previously measured one or more ERG parameters, wherein the psychiatric disease is a major depressive disorder (MDD), and (c) a display module configured to display the statistically derived probability score, wherein the system is configured to perform a method for determining whether a subject suffers from major depressive disorder (MDD) or has a predisposition thereto, said method comprises measuring at least (i) the rod a-wave amplitude and/or (ii) the rod b-wave amplitude, in the subject, wherein (a) a rod a-wave amplitude, and/or a rod b-wave amplitude that is lower, relative to the corresponding parameter(s) measured in a control subject not suffering from MDD, or (b) a rod a-wave amplitude, and/or a rod b-wave amplitude that is substantially similar or lower, relative to the corresponding parameter(s) measured in a patient suffering from MDD, is indicative that said subject suffers from MDD or has a predisposition thereto, and wherein both age and gender are included as covariants in said one or more transformation analyses. (a) a data acquisition module configured to produce a data set comprising one or more ERG parameter value(s); (b) a data processing module configured to process the data set by applying one or more transformation analyses to the data set to produce a statistically derived probability score, wherein said probability score represents a probability that a subject suffers from a psychiatric disease or has a predisposition thereto from previously measured one or more ERG parameters, wherein the psychiatric disease is a major depressive disorder (MDD), and (c) a display module configured to display the statistically derived probability score, wherein the system is configured to perform a method for determining whether a subject suffers from major depressive disorder (MDD) or has a predisposition thereto, said method comprises measuring at least (i) the rod a-wave amplitude and/or (ii) the rod b-wave amplitude, in the subject, wherein (a) a rod a-wave amplitude, and/or a rod b-wave amplitude that is lower, relative to the corresponding parameter(s) measured in a control subject not suffering from MDD, or (b) a rod a-wave amplitude, and/or a rod b-wave amplitude that is substantially similar or lower, relative to the corresponding parameter(s) measured in a patient suffering from MDD, is indicative that said subject suffers from MDD or has a predisposition thereto, and wherein both age and gender are included as covariants in said one or more transformation analyses.
A method of pairing two wireless devices (102, 104A-C), the method comprising: executing a pairing application on one of two wireless devices to place the one wireless device in a pairing mode ; physically moving at least one of the wireless devices to perform at least one pre-defined pairing motion event to satisfy at least one pairing condition ; detecting satisfaction of the at least one pairing condition with an accelerometer or radio receiver of the same one of the two wireless devices that executes the pairing application; and establishing a communications link between the two wireless devices in response to detecting satisfaction of the at least one pairing condition . executing a pairing application on one of two wireless devices to place the one wireless device in a pairing mode ; physically moving at least one of the wireless devices to perform at least one pre-defined pairing motion event to satisfy at least one pairing condition ; detecting satisfaction of the at least one pairing condition with an accelerometer or radio receiver of the same one of the two wireless devices that executes the pairing application; and establishing a communications link between the two wireless devices in response to detecting satisfaction of the at least one pairing condition .
Use of a fusion polypeptide according to formula I TAG-X1-C1qA-X2-C1qB-X3-C1qC-X4 (formula I) wherein X1 denotes a first peptidic linker, X2 denotes a second peptidic linker, X3 denotes a third peptidic linker, X4 denotes a fourth peptidic linker, X1, X2, X3, X4 are independently of each other either present or absent, TAG is an amino acid sequence tag, TAG can be present or absent, C1qA is a fragment of SEQ ID NO: 01, C1qB is a fragment of SEQ ID NO: 03, C1qC is a fragment of SEQ ID NO: 05, and - denotes a peptide bond or of a multimeric complex comprising 2 to 6 fusion polypeptides of formula I as affinity chromatography ligand in an affinity chromatography. X1 denotes a first peptidic linker, X2 denotes a second peptidic linker, X3 denotes a third peptidic linker, X4 denotes a fourth peptidic linker, X1, X2, X3, X4 are independently of each other either present or absent, TAG is an amino acid sequence tag, TAG can be present or absent, C1qA is a fragment of SEQ ID NO: 01, C1qB is a fragment of SEQ ID NO: 03, C1qC is a fragment of SEQ ID NO: 05, and - denotes a peptide bond or of a multimeric complex comprising 2 to 6 fusion polypeptides of formula I as affinity chromatography ligand in an affinity chromatography.