mhurhangee/ep-ind-claims huggingface dataset:
A system for removing unwanted portions of pliable items used in forming an article of footwear, the system comprising: an image capturing device operable to capture an image of a pliable item; a processor coupled to the image capturing device that identifies at least one critical image feature within the captured image of the pliable item; a computer-readable memory retaining at least one pattern representation corresponding to the pliable item, the pattern representation identifying: the pliable item, at least one critical pattern feature associated with the pliable item, a corresponding proposed cut path for the pliable item at least partially referenced from the identified critical pattern feature, and one or more alignment lines; a processing system that overlays the proposed cut path onto the captured image and compares the at least one critical image feature to predetermined exclusionary distance tolerances and inclusionary tolerance regions associated with the at least one critical pattern feature and with the one or more alignment lines, and generates an adjusted final cut path that satisfies the predetermined tolerances, in that the final cut path is outside an area formed by the exclusionary distance tolerances and one or more calculated alignment lines calculated based on features within the captured image fall inside the inclusionary tolerance regions; and a cutting system moveable along the generated final cut path to trim the pliable item along the final cut path. an image capturing device operable to capture an image of a pliable item; a processor coupled to the image capturing device that identifies at least one critical image feature within the captured image of the pliable item; a computer-readable memory retaining at least one pattern representation corresponding to the pliable item, the pattern representation identifying: the pliable item, at least one critical pattern feature associated with the pliable item, a corresponding proposed cut path for the pliable item at least partially referenced from the identified critical pattern feature, and one or more alignment lines; the pliable item, at least one critical pattern feature associated with the pliable item, a corresponding proposed cut path for the pliable item at least partially referenced from the identified critical pattern feature, and one or more alignment lines; a processing system that overlays the proposed cut path onto the captured image and compares the at least one critical image feature to predetermined exclusionary distance tolerances and inclusionary tolerance regions associated with the at least one critical pattern feature and with the one or more alignment lines, and generates an adjusted final cut path that satisfies the predetermined tolerances, in that the final cut path is outside an area formed by the exclusionary distance tolerances and one or more calculated alignment lines calculated based on features within the captured image fall inside the inclusionary tolerance regions; and a cutting system moveable along the generated final cut path to trim the pliable item along the final cut path.
A data collection system, comprising: a meter (110, 112, 114) configured to monitor usage of a resource provided by a utility service provider; a collection device (122, 124) configured to collect usage information from the meter and to provide the usage information to the utility service provider, wherein: the collection device is configured to convey data frames of a sequential series in a maintenance window (502, 506) in accordance with a schedule; the collection device is configured to adhere to the schedule according to a global absolute time source; the meter is configured to initiate a listening session in accordance with the schedule; the meter is configured to adhere to the schedule according to a native clock of the meter; the meter is configured to adjust the native clock to correspond to the global absolute time source by determining a position of the first of the data frames received during the listening session. a meter (110, 112, 114) configured to monitor usage of a resource provided by a utility service provider; a collection device (122, 124) configured to collect usage information from the meter and to provide the usage information to the utility service provider, wherein: the collection device is configured to convey data frames of a sequential series in a maintenance window (502, 506) in accordance with a schedule; the collection device is configured to adhere to the schedule according to a global absolute time source; the meter is configured to initiate a listening session in accordance with the schedule; the meter is configured to adhere to the schedule according to a native clock of the meter; the meter is configured to adjust the native clock to correspond to the global absolute time source by determining a position of the first of the data frames received during the listening session. the collection device is configured to convey data frames of a sequential series in a maintenance window (502, 506) in accordance with a schedule; the collection device is configured to adhere to the schedule according to a global absolute time source; the meter is configured to initiate a listening session in accordance with the schedule; the meter is configured to adhere to the schedule according to a native clock of the meter; the meter is configured to adjust the native clock to correspond to the global absolute time source by determining a position of the first of the data frames received during the listening session.
An apparatus comprising means for performing: obtaining initial training labels for first performance management data of a mobile communication network, wherein the initial training labels are generated by a first classification model to identify potentially sleeping cells of the mobile communication network; training a machine-learning model based on the initial training labels, wherein the model is configured to identify potentially sleeping cells within the mobile communication network; identifying potentially sleeping cells using the trained machine-learning model based on second performance management data of the mobile communication network; receiving feedback based on an impact of corrective action taken based on the identification, by the machine-learning model, of said potentially sleeping cells; updating said training labels based on said received feedback; and retraining the machine-learning model based on the updated training labels wherein the means for obtaining initial training labels is further configured to perform: receiving said first performance management data from the mobile communication network; and generating said initial training labels from the received first performance management data using the first classification model. obtaining initial training labels for first performance management data of a mobile communication network, wherein the initial training labels are generated by a first classification model to identify potentially sleeping cells of the mobile communication network; training a machine-learning model based on the initial training labels, wherein the model is configured to identify potentially sleeping cells within the mobile communication network; identifying potentially sleeping cells using the trained machine-learning model based on second performance management data of the mobile communication network; receiving feedback based on an impact of corrective action taken based on the identification, by the machine-learning model, of said potentially sleeping cells; updating said training labels based on said received feedback; and retraining the machine-learning model based on the updated training labels receiving said first performance management data from the mobile communication network; and generating said initial training labels from the received first performance management data using the first classification model.
A method for evaluating renal status in a subject, comprising: performing one or more assays configured to detect one or more biomarkers 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 correlating step comprises assigning a likelihood of a future change in renal status to the subject based on the assay result(s), wherein said one or more future changes in renal status comprise future acute renal failure, and the likelihood of the future change in renal status is that an event of interest is likely to occur within a period 24 hours of the time at which the body fluid sample is obtained from the subject, wherein the one or more biomarkers comprise Fibroblast growth factor 21, and optionally one or more of Proheparin-binding EGF-like growth factor, Tenascin C, Angiopoietin-related protein 4, Fibroblast growth factor 19, Heparin-binding growth factor 1, Angiopoietin-related protein 6, Proepiregulin, Probetacellulin, Amphiregulin, Angiogenin, Thrombospondin-2, and Collagen alpha-1(XVIII) chain. performing one or more assays configured to detect one or more biomarkers 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 correlating step comprises assigning a likelihood of a future change in renal status to the subject based on the assay result(s), wherein said one or more future changes in renal status comprise future acute renal failure, and the likelihood of the future change in renal status is that an event of interest is likely to occur within a period 24 hours of the time at which the body fluid sample is obtained from the subject, wherein the one or more biomarkers comprise Fibroblast growth factor 21, and optionally one or more of Proheparin-binding EGF-like growth factor, Tenascin C, Angiopoietin-related protein 4, Fibroblast growth factor 19, Heparin-binding growth factor 1, Angiopoietin-related protein 6, Proepiregulin, Probetacellulin, Amphiregulin, Angiogenin, Thrombospondin-2, and Collagen alpha-1(XVIII) chain.
A washing machine, comprising: a first cabinet providing a first space; a tub mounted in the first space to receive wash water; a drum rotatably mounted in the tub to receive laundry; a second cabinet detachably connected to a lower part of the first cabinet to provide a second space; a heat pump module mounted in the second space to supply hot air into the drum; a condensed water drain pump pumping condensed water generated from the heat pump module; and a condensed water drain hose, one end of which is connected to the condensed water drain pump and the other end of which is connected to the tub, to discharge the condensed water pumped by the condensed water drain pump to the inside of the tub. a first cabinet providing a first space; a tub mounted in the first space to receive wash water; a drum rotatably mounted in the tub to receive laundry; a second cabinet detachably connected to a lower part of the first cabinet to provide a second space; a heat pump module mounted in the second space to supply hot air into the drum; a condensed water drain pump pumping condensed water generated from the heat pump module; and a condensed water drain hose, one end of which is connected to the condensed water drain pump and the other end of which is connected to the tub, to discharge the condensed water pumped by the condensed water drain pump to the inside of the tub.
A composition comprising D-peptides having the sequence SEQ ID NO:2 or antibodies which bind to this sequence and to the amyloid peptide for use as a therapeutic and/or for disease prevention.
A method implemented by one or more processors, comprising: setting an automated assistant implemented at least in part on one or more conference computing devices (106, 206) to a conference mode in which the automated assistant performs speech-to-text processing on multiple distinct spoken utterances without requiring explicit invocation of the automated assistant prior to each of the multiple distinct spoken utterances, wherein the multiple distinct spoken utterances are provided by multiple participants during a meeting between the multiple participants; automatically performing, by the automated assistant, semantic processing on first text generated from the speech-to-text processing of one or more of the multiple distinct spoken utterances, wherein the semantic processing is performed without explicit participant invocation; generating, by the automated assistant, based on the semantic processing, data that is pertinent to the first text, wherein the data is output to the multiple participants at one or more of the conference computing devices (106, 206) while the automated assistant is in conference mode; determining, by the automated assistant, that the meeting has concluded; and based on the determining, setting the automated assistant to a non-conference mode in which the automated assistant requires invocation prior to performing speech-to-text processing on individual spoken utterances. setting an automated assistant implemented at least in part on one or more conference computing devices (106, 206) to a conference mode in which the automated assistant performs speech-to-text processing on multiple distinct spoken utterances without requiring explicit invocation of the automated assistant prior to each of the multiple distinct spoken utterances, wherein the multiple distinct spoken utterances are provided by multiple participants during a meeting between the multiple participants; automatically performing, by the automated assistant, semantic processing on first text generated from the speech-to-text processing of one or more of the multiple distinct spoken utterances, wherein the semantic processing is performed without explicit participant invocation; generating, by the automated assistant, based on the semantic processing, data that is pertinent to the first text, wherein the data is output to the multiple participants at one or more of the conference computing devices (106, 206) while the automated assistant is in conference mode; determining, by the automated assistant, that the meeting has concluded; and based on the determining, setting the automated assistant to a non-conference mode in which the automated assistant requires invocation prior to performing speech-to-text processing on individual spoken utterances.
An electric strike having a bolt cavity arranged to receive at least one bolt of a door lock, the electric strike comprising: - a strike frame; - a keeper (8; 9) mounted on the strike frame, the keeper (8; 9) forming a side wall of said bolt cavity and being arranged to pivot about a first pivot axis (35; 62), which first pivot axis (35; 62) extends in a first direction, between a door-locking position, wherein the keeper (8; 9) is arranged to retain the bolt to prevent door opening, and a door-releasing position, wherein the keeper (8; 9) is arranged to enable the bolt to exit the bolt cavity in a second direction, which second direction is substantially perpendicular to said first direction; and - a lock lever mounted on the strike frame for locking the keeper (8; 9) in said door-locking position, the lock lever being arranged to move between a locking position, wherein the keeper (8; 9), when in said door-locking position, is prevented by the lock lever from pivoting around the first pivot axis (35; 62) to said door-releasing position, and an unlocking position, wherein the keeper (8; 9) is free to pivot around the first pivot axis (35; 62) to said door-releasing position, the lock lever being arranged to move between said locking position and said unlocking position by pivoting about a second pivot axis which extends substantially in said second direction, characterised in that the strike frame is provided with a bearing element arranged to bear against the lock lever to prevent the lock lever, when the lock lever is in its locking position and when the keeper (8; 9) is in its door-locking position, from being moved in said second direction when said bolt of the door lock is urged against the keeper (8; 9), the bearing element having a side surface, the lock lever bearing against said side surface in said second direction when the door lock is urged against the keeper (8; 9). - a strike frame; - a keeper (8; 9) mounted on the strike frame, the keeper (8; 9) forming a side wall of said bolt cavity and being arranged to pivot about a first pivot axis (35; 62), which first pivot axis (35; 62) extends in a first direction, between a door-locking position, wherein the keeper (8; 9) is arranged to retain the bolt to prevent door opening, and a door-releasing position, wherein the keeper (8; 9) is arranged to enable the bolt to exit the bolt cavity in a second direction, which second direction is substantially perpendicular to said first direction; and - a lock lever mounted on the strike frame for locking the keeper (8; 9) in said door-locking position, the lock lever being arranged to move between a locking position, wherein the keeper (8; 9), when in said door-locking position, is prevented by the lock lever from pivoting around the first pivot axis (35; 62) to said door-releasing position, and an unlocking position, wherein the keeper (8; 9) is free to pivot around the first pivot axis (35; 62) to said door-releasing position, the lock lever being arranged to move between said locking position and said unlocking position by pivoting about a second pivot axis which extends substantially in said second direction,
A method comprising one or more processors executing the steps of: implementing a first file system (206;206A) that is configured to send data requests towards a volatile page cache; implementing a second file system that is configured to send data requests towards a persistent page cache determining, by the first file system, whether a file that includes the data is marked for caching in the persistent page cache or volatile page cache; and in response to determining that the file is marked for caching in the persistent page cache, sending a request for the data to the second file system; identifying a request for data from an application; determining whether the persistent page cache stores a copy of the data, wherein the persistent page cache is directly addressable by a processor and is operable to cache data of a storage device that is not directly addressable by the processor; and accessing the data from the persistent page cache. implementing a first file system (206;206A) that is configured to send data requests towards a volatile page cache; implementing a second file system that is configured to send data requests towards a persistent page cache determining, by the first file system, whether a file that includes the data is marked for caching in the persistent page cache or volatile page cache; and in response to determining that the file is marked for caching in the persistent page cache, sending a request for the data to the second file system; identifying a request for data from an application; determining whether the persistent page cache stores a copy of the data, wherein the persistent page cache is directly addressable by a processor and is operable to cache data of a storage device that is not directly addressable by the processor; and accessing the data from the persistent page cache.
A process to perform a molecular risk assessment upon a sample suspected to contain an enterohemorrhagic Escherichia coli (EHEC), comprising the steps: a) contacting said sample or DNA isolated therefrom with a pair of primers derived from at least the following target genes: - stx1; - stx2; and the following target genes: - espK or espK and eae; and with a pair of primers derived from at least one of the following target genes: - nleB; - nleHI-2; - nleE; - ent / espL2; and detecting the presence or the absence of an amplification product for each of said target genes; and if the amplification products for each of said genes from step a) are detected then: b) contacting said sample or DNA isolated therefrom with one or more pairs of primers derived from the eae target gene and determining the eae subtype. a) contacting said sample or DNA isolated therefrom with a pair of primers derived from at least the following target genes: - stx1; - stx2; and the following target genes: - espK or espK and eae; and with a pair of primers derived from at least one of the following target genes: - nleB; - nleHI-2; - nleE; - ent / espL2; - stx1; - stx2; - espK or espK and eae; - nleB; - nleHI-2; - nleE; - ent / espL2; b) contacting said sample or DNA isolated therefrom with one or more pairs of primers derived from the eae target gene and determining the eae subtype.
An azeotropic or azeotrope-like mixture consisting essentially of 1,3,3-trichloro-1,1-difluoropropane and from 95 weight percent to 5 weight percent hydrogen fluoride.
Method for heat recovery on a vapour compression refrigeration system allowing to produce hot water, said refrigeration unit including at least a first piping closed refrigerating circuit in which a refrigerant fluid circulates, a compressor, an evaporator, an expansion valve, a condenser (105,200) and/or a heat recovery unit including a water inlet and a water outlet respectively connected to a second piping circuit including a circulating pump, said method comprising at least the steps of entering the refrigerant fluid in a vapour saturated state into the compressor, compressing the refrigerant fluid to a higher pressure resulting in a higher temperature, in such a way that the refrigerant fluid is in a superheated vapour state, cooling and condensing the refrigerant fluid in superheated vapour state into a saturated liquid by passing it through the condenser (105,200) and/or heat recovery unit, passing the saturated liquid through the expansion valve to reduce abruptly the pressure providing a flash evaporation that lowers the liquid and vapour refrigerant's temperature, passing the liquid and vapour refrigerant through the evaporator to extract the heat from a hot source, said method is characterized in that it comprises at least the following steps of: - determining at least one physical unit of the refrigerant fluid and/or water of the second piping circuit, - when said physical unit is lower than a predetermined threshold, the condensing temperature is increased, - when said physical unit is greater than said predetermined threshold the condensing temperature is decreased to a minimum value. - determining at least one physical unit of the refrigerant fluid and/or water of the second piping circuit, - when said physical unit is lower than a predetermined threshold, the condensing temperature is increased, - when said physical unit is greater than said predetermined threshold the condensing temperature is decreased to a minimum value.