mhurhangee/patent-ind-claim-en huggingface dataset:
A threshold determining method, comprising: obtaining (S101), by an acquisition module of a threshold determining apparatus, predetermined target values respectively corresponding to multiple identification models for identity verification, wherein the predetermined target values are desired values for identification accuracies of the identification models for identity verification and wherein the predetermined target values are used to indicate expected target identification capabilities of the identification models for identity verification; and determining (S102), by a first determining module of the threshold determining apparatus, user service variable values and identity verification thresholds respectively corresponding to the multiple identification models for identity verification based on the predetermined target values, wherein the user service variable values are used for classification of active users and inactive users, and the identity verification thresholds are used by the identification models for identity verification to exclude users who need strong verification from the inactive users, wherein optimal identity verification thresholds for the identification models for identity verification are found, so that the target identification capabilities of the identification models for identity verification are as close to the predetermined target values as possible. obtaining (S101), by an acquisition module of a threshold determining apparatus, predetermined target values respectively corresponding to multiple identification models for identity verification, wherein the predetermined target values are desired values for identification accuracies of the identification models for identity verification and wherein the predetermined target values are used to indicate expected target identification capabilities of the identification models for identity verification; and determining (S102), by a first determining module of the threshold determining apparatus, user service variable values and identity verification thresholds respectively corresponding to the multiple identification models for identity verification based on the predetermined target values, wherein the user service variable values are used for classification of active users and inactive users, and the identity verification thresholds are used by the identification models for identity verification to exclude users who need strong verification from the inactive users, wherein optimal identity verification thresholds for the identification models for identity verification are found, so that the target identification capabilities of the identification models for identity verification are as close to the predetermined target values as possible.
A method for inspection of an item , the method comprising: - acquiring a plurality of projection images of said item at a plurality of projection angles, using a radiation imaging device ; - obtaining a tomographic reconstruction based on said plurality of projection images; - detecting a plurality of objects in said tomographic reconstruction, each of said plurality of objects having a generic shape described by a parametric three-dimensional numerical model, wherein said detecting comprises determining initial estimates of position and/or orientation of each of said plurality of objects and at least one geometrical parameter of said three-dimensional model for each of said plurality of objects; - iteratively refining said initial estimates by using a projection-matching approach, characterised in that said refining comprises, at each iteration, simulating forward projection images according to operating parameters of the radiation imaging device at said plurality of projection angles for at least one of the plurality of objects, and reducing a difference metric between acquired projection images and simulated forward projection images. - acquiring a plurality of projection images of said item at a plurality of projection angles, using a radiation imaging device ; - obtaining a tomographic reconstruction based on said plurality of projection images; - detecting a plurality of objects in said tomographic reconstruction, each of said plurality of objects having a generic shape described by a parametric three-dimensional numerical model, wherein said detecting comprises determining initial estimates of position and/or orientation of each of said plurality of objects and at least one geometrical parameter of said three-dimensional model for each of said plurality of objects; - iteratively refining said initial estimates by using a projection-matching approach,
Housing for an electrical or electronic device, with a pot-shaped housing jacket made of plastic, with at least one cooling channel guided in the housing jacket for fluid cooling of the device, wherein a flat shielding body for shielding electromagnetic radiation is integrated into the housing jacket , which passes through the walls of the housing jacket , characterized by this, that the shielding body is formed as a wire cage or a metal trough, that the cooling channel is formed by a metal tube, in that the shielding body and the cooling channel are connected to form a pre-assembled arrangement , and in that the pre-assembled arrangement comprising the screening body and cooling channel is injection-moulded around with a plastic material or is cast into a plastic material in order to form the housing jacket .
A microcavity dish (10; 110) for cultivating cells, the microcavity dish comprising: a dish body comprising a sidewall (16; 116; 146) that encloses a cell culture chamber (22; 122) within the dish body , the dish body having a top and a bottom (12; 112), where the bottom (12; 112) comprises a cell culturing substrate (14; 114) comprising an array of microcavities , where the sidewall (16; 116; 146) extends from the bottom (12; 112) to a top edge (18; 118) of the dish body ; the sidewall (16; 116; 146) comprising a transition portion (30; 130) that divides the sidewall (16; 116; 146) into an upper portion (32; 132) and a lower portion (34; 134) that is offset inward relative to the upper portion (32; 132) defining a liquid medium delivery surface (26; 126) having a first end near the top edge (18; 118) and a second end near a bottom edge of sidewall (16; 116; 146), the liquid medium delivery surface (26; 126) extending at least partially along an interior surface (28; 128) of the sidewall (16; 116; 146) and sloping along a length of the liquid medium delivery surface (26; 126) downward from the first end to the second end toward the bottom (12; 112). a dish body comprising a sidewall (16; 116; 146) that encloses a cell culture chamber (22; 122) within the dish body , the dish body having a top and a bottom (12; 112), where the bottom (12; 112) comprises a cell culturing substrate (14; 114) comprising an array of microcavities , where the sidewall (16; 116; 146) extends from the bottom (12; 112) to a top edge (18; 118) of the dish body ; the sidewall (16; 116; 146) comprising a transition portion (30; 130) that divides the sidewall (16; 116; 146) into an upper portion (32; 132) and a lower portion (34; 134) that is offset inward relative to the upper portion (32; 132) defining a liquid medium delivery surface (26; 126) having a first end near the top edge (18; 118) and a second end near a bottom edge of sidewall (16; 116; 146), the liquid medium delivery surface (26; 126) extending at least partially along an interior surface (28; 128) of the sidewall (16; 116; 146) and sloping along a length of the liquid medium delivery surface (26; 126) downward from the first end to the second end toward the bottom (12; 112).
A nitrile rubber composition comprising a carboxyl group-containing highly saturated nitrile rubber (a) containing an α,β-ethylenically unsaturated nitrile monomer unit in a content of 5 to 60 wt% and having an iodine value of 120 or less, a silica (b) having a specific surface area of less than 60 m 2 /g, a polyamine-based cross-linking agent (c), and a trimellitic acid-based plasticizer, wherein a content of the polyamine-based cross-linking agent (c) is 0.1 to 20 parts by weight with respect to 100 parts by weight of the carboxyl group-containing highly saturated nitrile rubber (a). a carboxyl group-containing highly saturated nitrile rubber (a) containing an α,β-ethylenically unsaturated nitrile monomer unit in a content of 5 to 60 wt% and having an iodine value of 120 or less, a silica (b) having a specific surface area of less than 60 m 2 /g, a polyamine-based cross-linking agent (c), and a trimellitic acid-based plasticizer, wherein a content of the polyamine-based cross-linking agent (c) is 0.1 to 20 parts by weight with respect to 100 parts by weight of the carboxyl group-containing highly saturated nitrile rubber (a).
An engine comprising a crankcase defined between first and second spaced apart and opposing inner walls, a crankshaft journalled in the crankcase and extending along a rotational axis, a piston coupled to the crankshaft, a cylinder in which the piston reciprocates, and a head positioned over the piston and cylinder, wherein the crankcase is physically split along a plane forming first and second crankcase portions , the split being transverse to the rotational axis and intermediate the first and second opposing inner walls, the split defining first and second mating faces on the first and second crankcase portions, spaced from the first and second opposing inner walls, the first and second crankcase portions being coupled together at the first and second mating faces with first and second crankcase portions extending to the cylinder, characterized in that all of the crankcase oil and water passages are provided in the first crankcase portion and that none of the passages are provided in the second crankcase portion, the crankcase oil and water passages communicating with the head to deliver fluid to the head.
Method for operating a vehicle, in particular a rail vehicle , wherein in the method - a failure state measurement value (Gb) which indicates the respective current failure state of the brakes is ascertained and - a stopping power value (λ) which indicates the stopping power of the brakes of the vehicle is ascertained, characterised in that - a braking percentage value is ascertained as the stopping power value (λ) and - when calculating the stopping power value (λ) in the form of the braking percentage value, use is made of the failure state measurement value (Gb) and at least one further measurement value, which indicates the state of the vehicle or the state of a vehicle component of the vehicle. - a failure state measurement value (Gb) which indicates the respective current failure state of the brakes is ascertained and - a stopping power value (λ) which indicates the stopping power of the brakes of the vehicle is ascertained, characterised in that - a braking percentage value is ascertained as the stopping power value (λ) and - when calculating the stopping power value (λ) in the form of the braking percentage value, use is made of the failure state measurement value (Gb) and at least one further measurement value, which indicates the state of the vehicle or the state of a vehicle component of the vehicle.
A computer-implemented method comprising: receiving at least one set of sensor data from at least one mobile device, the sensor data measured at a particular site and comprising at least motion related sensor data; determining a likelihood that a set of the at least one set of sensor data matches a parametric site model configured with a set of parameter values by running a Bayesian smoothing algorithm on the set of sensor data; and selecting a set of parameter values for the parametric site model from a plurality of possible sets of parameter values, the selected set of parameter values having the highest likelihood that the parametric site model configured with the set of parameter values correctly represents the particular site in view of the received at least one set of sensor data. receiving at least one set of sensor data from at least one mobile device, the sensor data measured at a particular site and comprising at least motion related sensor data; determining a likelihood that a set of the at least one set of sensor data matches a parametric site model configured with a set of parameter values by running a Bayesian smoothing algorithm on the set of sensor data; and selecting a set of parameter values for the parametric site model from a plurality of possible sets of parameter values, the selected set of parameter values having the highest likelihood that the parametric site model configured with the set of parameter values correctly represents the particular site in view of the received at least one set of sensor data.
An organic printing deposition system, comprising: a print head comprising: a nozzle block comprising a delivery aperture , the delivery aperture being in fluid communication with a source of organic material to be deposited on a substrate by the printing deposition system; one or more shield gas distribution channels , each shield gas distribution channel being disposed above or below the delivery aperture when viewed from below the nozzle block; and one or more exhaust channels disposed adjacent to the delivery aperture such that, during operation of the print head, non-condensing gas flow generated by the delivery aperture is captured by an exhaust aperture; wherein each of the one or more shield gas distribution channels is arranged to provide a flow of shield gas that prevents material from a chamber ambient in which the print head is operated from reaching the exhaust apertures of the nozzle block, wherein the system further comprises a plurality of shield gas apertures , each of which ejects shield gas into the space between the substrate and the print head during operation of the print head such that all gas ingested by the exhaust apertures originates from either the delivery aperture or one or more of the shield gas apertures, wherein the shield gas apertures are provided by nozzles surrounding the print head containing the nozzle block, wherein the shield gas apertures are located on a chiller plate between the print head and substrate. a nozzle block comprising a delivery aperture , the delivery aperture being in fluid communication with a source of organic material to be deposited on a substrate by the printing deposition system; one or more shield gas distribution channels , each shield gas distribution channel being disposed above or below the delivery aperture when viewed from below the nozzle block; and one or more exhaust channels disposed adjacent to the delivery aperture such that, during operation of the print head, non-condensing gas flow generated by the delivery aperture is captured by an exhaust aperture; wherein each of the one or more shield gas distribution channels is arranged to provide a flow of shield gas that prevents material from a chamber ambient in which the print head is operated from reaching the exhaust apertures of the nozzle block, wherein the system further comprises a plurality of shield gas apertures , each of which ejects shield gas into the space between the substrate and the print head during operation of the print head such that all gas ingested by the exhaust apertures originates from either the delivery aperture or one or more of the shield gas apertures, wherein the shield gas apertures are provided by nozzles surrounding the print head containing the nozzle block, wherein the shield gas apertures are located on a chiller plate between the print head and substrate.
An isolated monoclonal antibody or antigen binding fragment thereof, that binds to human LOX-1 comprising (i) a heavy chain variable region CDR1 of SEQ ID NO: 303; CDR2 of SEQ ID NO: 304; CDR3 of SEQ ID NO: 305; a light chain variable region CDR1 of SEQ ID NO: 313; CDR2 of SEQ ID NO: 314; and CDR3 of SEQ ID NO: 315, or (ii) a heavy chain variable region CDR1 of SEQ ID NO: 306; CDR2 of SEQ ID NO: 307; CDR3 of SEQ ID NO: 308; a light chain variable region CDR1 of SEQ ID NO: 316; CDR2 of SEQ ID NO: 317; and CDR3 of SEQ ID NO: 318, wherein the antibody or fragment comprises a VH chain comprising the amino acid sequence of SEQ ID NO: 309 or an amino acid sequence with at least 95% identity thereto; and a VL chain comprising the amino acid sequence of SEQ ID NO: 319 or an amino acid sequence with at least 95% identity thereto, and wherein the isolated monoclonal antibody or antigen binding fragment thereof binds human LOX-1 with a KD of less than or equal to 34 pM as measured by surface plasmon resonance or less than or equal to 4 pM, as measured by solution equilibrium titration assay (SET). (i) a heavy chain variable region CDR1 of SEQ ID NO: 303; CDR2 of SEQ ID NO: 304; CDR3 of SEQ ID NO: 305; a light chain variable region CDR1 of SEQ ID NO: 313; CDR2 of SEQ ID NO: 314; and CDR3 of SEQ ID NO: 315, or (ii) a heavy chain variable region CDR1 of SEQ ID NO: 306; CDR2 of SEQ ID NO: 307; CDR3 of SEQ ID NO: 308; a light chain variable region CDR1 of SEQ ID NO: 316; CDR2 of SEQ ID NO: 317; and CDR3 of SEQ ID NO: 318, wherein the antibody or fragment comprises a VH chain comprising the amino acid sequence of SEQ ID NO: 309 or an amino acid sequence with at least 95% identity thereto; and a VL chain comprising the amino acid sequence of SEQ ID NO: 319 or an amino acid sequence with at least 95% identity thereto, and wherein the isolated monoclonal antibody or antigen binding fragment thereof binds human LOX-1 with a KD of less than or equal to 34 pM as measured by surface plasmon resonance or less than or equal to 4 pM, as measured by solution equilibrium titration assay (SET).
A vaporizer comprising: an inlet configured to receive a refrigerant/oil mixture; an oil outlet ; a vent ; a hot gas inlet ; a cooled gas outlet ; a gas flowpath extending from the hot gas inlet to the cooled gas outlet ; a vaporizer chamber downstream of the inlet along a primary flowpath ; a gas conduit along the gas flowpath in heat exchange relation with the primary flowpath passing through the vaporizer chamber and being configured to boil off refrigerant; a sump below the vaporizer chamber ; a housing enclosing the vaporizer chamber and the sump, the housing having a metallic tubular main body; a passageway from the vaporizer chamber to the sump ; and an oil reservoir mounted to the main body below the sump ; wherein the oil outlet is coupled to an oil inlet port of the oil reservoir ; and wherein the vent is configured to vent the vaporizer chamber . an inlet configured to receive a refrigerant/oil mixture; an oil outlet ; a vent ; a hot gas inlet ; a cooled gas outlet ; a gas flowpath extending from the hot gas inlet to the cooled gas outlet ; a vaporizer chamber downstream of the inlet along a primary flowpath ; a gas conduit along the gas flowpath in heat exchange relation with the primary flowpath passing through the vaporizer chamber and being configured to boil off refrigerant; a sump below the vaporizer chamber ; a housing enclosing the vaporizer chamber and the sump, the housing having a metallic tubular main body; a passageway from the vaporizer chamber to the sump ; and an oil reservoir mounted to the main body below the sump ; wherein the oil outlet is coupled to an oil inlet port of the oil reservoir ; and wherein the vent is configured to vent the vaporizer chamber .
A method for transmitting a form request, comprising: generating signature information based on a preset read-only parameter of a form in a target response page when receiving the target response page fed back by a server; adding the signature information to the form of the target response page and transmitting the target response page to a terminal; receiving a target form request corresponding to the target response page transmitted by the terminal and verifying the signature information in a form contained in the target form request; and transmitting the target form request to the server if the verification is successful, otherwise performing a prevention process on the target form request; wherein receiving the target form request corresponding to the target response page transmitted by the terminal and verifying the signature information in a form contained in the target form request comprises: receiving the target form request corresponding to the target response page transmitted by the terminal and obtaining request information of the target form request, wherein the request information at least contains a uniform resource locator, URL corresponding to the target form request, a parameter format of the preset read-only parameter and the signature information; determining whether the target form request is a form request to be prevented based on the request information and a form request learning table stored locally; and verifying the signature information in the form contained in the target form request if the target form request is a form request to be prevented; wherein the form request learning table records request information of all form requests obtained that need to be prevented, wherein the all form requests are obtained by big-data processing and machine learning. generating signature information based on a preset read-only parameter of a form in a target response page when receiving the target response page fed back by a server; adding the signature information to the form of the target response page and transmitting the target response page to a terminal; receiving a target form request corresponding to the target response page transmitted by the terminal and verifying the signature information in a form contained in the target form request; and transmitting the target form request to the server if the verification is successful, otherwise performing a prevention process on the target form request; receiving the target form request corresponding to the target response page transmitted by the terminal and obtaining request information of the target form request, wherein the request information at least contains a uniform resource locator, URL corresponding to the target form request, a parameter format of the preset read-only parameter and the signature information; determining whether the target form request is a form request to be prevented based on the request information and a form request learning table stored locally; and verifying the signature information in the form contained in the target form request if the target form request is a form request to be prevented;