mhurhangee/ep-ind-claims huggingface dataset:
A separating agent comprising a support and a ligand fixed to the surface of the support by physical adsorption, wherein the support is core/shell particles each formed of a core constituted of a nonporous inorganic substance and a porous shell, the shell having a pore diameter of 30 nm or larger, measured by the mercury intrusion method according to JIS R1655, the shell being constituted of a hydrolyzate of a polyalkoxysiloxane, and the ligand is selected from optically active poly(meth)acrylamides, optically active polyamides, or an optically inactive polyester, wherein the term "nonporous" mean s that when the specific surface area (m 2 /g) of the core particles determined by the BET method is expressed by A and the surface area (m 2 /g) thereof per unit weight is expressed by B, wherein the surface area is calculated as 4 × π × r 2, with r representing the radius of the core particles, then the value of (A-B)/B×100 is less than 20, and the term "porous" means that the specific surface area of the surface of the shell, determined by the BET method, is 10 mm 2 /g or larger, wherein the optically active polyamide is selected from the group consisting of compounds represented by the formula or: wherein R is one or more groups selected from alkylene groups having 2-20 carbon atoms and optionally having a branched structure, groups having one or more aromatic groups having 6-10 carbon atoms, and groups having one or more alicyclic groups having 3-10 carbon atoms, and n is an integer of 50 to 100,000. wherein the support is core/shell particles each formed of a core constituted of a nonporous inorganic substance and a porous shell, the shell having a pore diameter of 30 nm or larger, measured by the mercury intrusion method according to JIS R1655, the shell being constituted of a hydrolyzate of a polyalkoxysiloxane, and the ligand is selected from optically active poly(meth)acrylamides, optically active polyamides, or an optically inactive polyester, wherein the term "nonporous" mean s that when the specific surface area (m 2 /g) of the core particles determined by the BET method is expressed by A and the surface area (m 2 /g) thereof per unit weight is expressed by B, wherein the surface area is calculated as 4 × π × r 2, with r representing the radius of the core particles, then the value of (A-B)/B×100 is less than 20, and the term "porous" means that the specific surface area of the surface of the shell, determined by the BET method, is 10 mm 2 /g or larger, wherein the optically active polyamide is selected from the group consisting of compounds represented by the formula or: wherein R is one or more groups selected from alkylene groups having 2-20 carbon atoms and optionally having a branched structure, groups having one or more aromatic groups having 6-10 carbon atoms, and groups having one or more alicyclic groups having 3-10 carbon atoms, and n is an integer of 50 to 100,000.
An electrolyte for an electrochemical energy storing device comprising an electrolyte salt and a solvent, characterized in that the electrolyte comprises at least one compound of the general formula as indicated below: where: X is C; R 1 is selected from the group comprising CN, C 1 -C 10 -alkyl, C 3 -C 7 -cycloalkyl and/or C 6 -C 10 -aryl, where the alkyl, cycloalkyl and aryl groups are each unsubstituted or monosubstituted or polysubstituted by at least one substituent selected from the group comprising F, C 1-4 -alkyl and/or CN; and wherein the electrolyte contains the compound of the general formula in an amount in the range from ≥ 0.1% by weight to ≤ 10% by weight, based on the total weight of the electrolyte. X is C; R 1 is selected from the group comprising CN, C 1 -C 10 -alkyl, C 3 -C 7 -cycloalkyl and/or C 6 -C 10 -aryl, where the alkyl, cycloalkyl and aryl groups are each unsubstituted or monosubstituted or polysubstituted by at least one substituent selected from the group comprising F, C 1-4 -alkyl and/or CN; and
A bearer configuration method comprising: configuring, by a first network device, a bearer sequence number for at least one first bearer of a terminal (S201, S401), wherein the at least one first bearer and at least one second bearer configured by the first network device for the terminal support a data duplication function, the first network device and a second network device provide dual connectivity, DC, transmission for the terminal, the at least one first bearer is associated with the first network device, the at least one second bearer is associated with the first network device and the second network device, and a difference between a first bit to which a bearer sequence number of each first bearer is mapped in a bit field of a Medium Access Control, MAC, Control Element, CE, and a most significant bit of the bit field is greater than a difference between a second bit to which a bearer sequence number of each second bearer is mapped in the bit field of the MAC CE and the most significant bit of the bit field; wherein the at least one first bearer comprises a Master Cell Group, MCG, bearer, and the at least one second bearer comprises at least one of: a Secondary Cell Group, SCG, bearer, a Master Cell Group, MCG, split bearer, and a SCG split bearer; and the bearer sequence number of each first bearer belongs to a first sequence number set, the bearer sequence number of each second bearer belongs to a second sequence number set. configuring, by a first network device, a bearer sequence number for at least one first bearer of a terminal (S201, S401), wherein the at least one first bearer and at least one second bearer configured by the first network device for the terminal support a data duplication function, the first network device and a second network device provide dual connectivity, DC, transmission for the terminal, the at least one first bearer is associated with the first network device, the at least one second bearer is associated with the first network device and the second network device, and a difference between a first bit to which a bearer sequence number of each first bearer is mapped in a bit field of a Medium Access Control, MAC, Control Element, CE, and a most significant bit of the bit field is greater than a difference between a second bit to which a bearer sequence number of each second bearer is mapped in the bit field of the MAC CE and the most significant bit of the bit field; wherein the at least one first bearer comprises a Master Cell Group, MCG, bearer, and the at least one second bearer comprises at least one of: a Secondary Cell Group, SCG, bearer, a Master Cell Group, MCG, split bearer, and a SCG split bearer; and the bearer sequence number of each first bearer belongs to a first sequence number set, the bearer sequence number of each second bearer belongs to a second sequence number set.
An automatic swimming pool cleaner comprising: a. a body; and b. a disc connected directly or indirectly to the body and having an inner periphery and an outer periphery, at least a first portion of the disc having a lower surface with a recessed area therein configured substantially as a pocket and configured to form an at least partially evacuatable region and to provide increased suction in localised region, the recessed area existing between the inner and outer peripheries, at least a first part of the recessed area not extending to the outer periphery, wherein the recessed area is bounded by a roof and the disc comprises at least one projection extending from the roof into the recessed area, and wherein, in use, the projection contacts a surface to be cleaned. a. a body; and b. a disc connected directly or indirectly to the body and having an inner periphery and an outer periphery, at least a first portion of the disc having a lower surface with a recessed area therein configured substantially as a pocket and configured to form an at least partially evacuatable region and to provide increased suction in localised region, the recessed area existing between the inner and outer peripheries, at least a first part of the recessed area not extending to the outer periphery,
An integrated organic light-emitting device comprising a laminated body consisting of a light-transmissive first electrode layer, a laminated layer containing at least one organic EL emission layer composed of an organic compound, and a second electrode layer laminated on a light-transmissive insulated substrate, the device having at least one first-electrode-layer dividing groove formed in the first electrode layer, at least one via formed in the laminated layer, and at least one unit light-emitting-element dividing groove (112, 113, 115) having a depth reaching the second electrode layer from the laminated layer, wherein the first electrode layer is divided into a plurality of zones by the first-electrode-layer dividing grooves, wherein the laminated layer and the second electrode layer are divided into a plurality of zones each composed of a combination of the both layers by the unit light-emitting-element dividing grooves (112, 113, 115), wherein the first-electrode-layer dividing grooves and the unit light-emitting-element dividing grooves (112, 113, 115) are located at different positions so that at least the second electrode layer of one zone overhangs the first electrode layer of its adjacent zone, wherein the first electrode layer in one zone and the combination of the laminated layer and the second electrode layer laminated on the first electrode layer in the one zone constitutes a unit light-emitting element, in which a part of the second electrode layer penetrates in the via so as to be electrically conducted to the first electrode layer in its adjacent zone, so that adjacent elements are electrically connected in series, and characterized in that the unit light-emitting-element dividing groove (112, 113, 115) is formed by a number of continuous small holes, each hole having a shape increasing in diameter from the substrate toward the second electrode layer, so that at least the second electrode layer is divided by the holes, which overlap, and the first electrode layer has a conductive part between the holes, which do not overlap.
A communications device comprising a transmitter configured to transmit signals representing device-to-device communications to a second and a third communications device (1001, 1002) across a wireless access interface, a receiver configured to receive signals representing device-to-device communication from the second and third communications devices across the wireless access interface, the wireless access interface including a control resource for communicating control data between communications devices and a data resource for communicating user data between communications devices, the control data providing scheduling assignments for the allocation of resources of the data resource, and a controller configured to control the transmitter and the receiver to perform interference detection in the control resource based on scheduling assignment messages (1004, 1005) received from the second and third communications devices, to transmit in the control resources, in response to detecting interference in the control resource, signals representing an indication of the detected interference to the second and third communications devices, and to transmit, in response to detecting interference in the control resource, a message to the second and third communications devices comprising a request to become a coordinating entity, the communications device as the coordinating entity being configured to control the transmissions of resource allocation requests of communications devices in a group of communications devices, the group comprising at least the communications device and the second and third communications devices.
A method for operating a computer so as to perform a data processing method for determining a range of motion of an artificial knee joint connecting a femur and a tibia via a medial and a lateral ligament, wherein at least the femur comprises an implant forming a medial and a lateral condyle, the method comprising instructing the computer to perform the steps of: receiving the maximum length of the lateral and medial ligament for a particular flexion angle of the knee joint; calculating a first virtual position between the femur and the tibia in which the lateral condyle of the femur implant touches the tibia and the medial ligament is stretched to its maximum length; calculating a maximum valgus angle of the range of motion from the first virtual position; calculating a second virtual position between the femur and the tibia in which the medial condyle of the femur implant touches the tibia and the lateral ligament is stretched to its maximum length; and calculating a maximum varus angle of the range of motion from the second virtual position. receiving the maximum length of the lateral and medial ligament for a particular flexion angle of the knee joint; calculating a first virtual position between the femur and the tibia in which the lateral condyle of the femur implant touches the tibia and the medial ligament is stretched to its maximum length; calculating a maximum valgus angle of the range of motion from the first virtual position; calculating a second virtual position between the femur and the tibia in which the medial condyle of the femur implant touches the tibia and the lateral ligament is stretched to its maximum length; and calculating a maximum varus angle of the range of motion from the second virtual position.
A method in a computer system for storing groups of elements, each element comprising a variable-sized data record, in a file of a storage area using a file format, the method characterised by: creating at least one root storage in the storage area; storing at least one model in said root storage, each model reflecting some real-world structure and for storing related elements, each model including a model header stream including at least one of a model name, units used in the model or a geometric range for the model; storing a graphic element list and a control element list in said at least one model, said graphic element list including element groups containing graphic elements having a corresponding physical representation that occupies geometric space and can be drawn on a computer screen and said control element list having element groups containing control elements having no physical representation; designating a pre-selected maximum number of elements in each element group; and allocating each element to an element group in one of said control element list and said graphic element list, wherein the number of elements in each element group is variable, each element group has a unique name, and each element group has a fixed header including the number of elements in the element group and optionally, information on a compression scheme and/or an encryption scheme used for the elements in the element group. creating at least one root storage in the storage area; storing at least one model in said root storage, each model reflecting some real-world structure and for storing related elements, each model including a model header stream including at least one of a model name, units used in the model or a geometric range for the model; storing a graphic element list and a control element list in said at least one model, said graphic element list including element groups containing graphic elements having a corresponding physical representation that occupies geometric space and can be drawn on a computer screen and said control element list having element groups containing control elements having no physical representation; designating a pre-selected maximum number of elements in each element group; and allocating each element to an element group in one of said control element list and said graphic element list, wherein the number of elements in each element group is variable, each element group has a unique name, and each element group has a fixed header including the number of elements in the element group and optionally, information on a compression scheme and/or an encryption scheme used for the elements in the element group.
A method performed by a first communication device, the first communication device having an input apparatus (104, 108, 116, 118, 122, 124, 126) and a memory (110, 114), wherein the memory has stored therein a first textual database comprising a plurality of linguistic objects, the method comprising: monitoring a second textual database for the removal of one or more linguistic objects wherein the second textual database is stored in a second communication device; if one or more linguistic objects have been removed from the second textual database, updating the first textual database to exclude the one or more linguistic objects removed from the second textual database; receiving one or more words via the input apparatus; and comparing the one or more words to two or more linguistic objects in the first textual database to determine whether at least some of the one or more words should be replaced with at least some of the two or more linguistic objects in the first textual database, wherein each linguistic object includes a respective word, each word being a combination of consecutive characters or symbols. monitoring a second textual database for the removal of one or more linguistic objects wherein the second textual database is stored in a second communication device; if one or more linguistic objects have been removed from the second textual database, updating the first textual database to exclude the one or more linguistic objects removed from the second textual database; receiving one or more words via the input apparatus; and comparing the one or more words to two or more linguistic objects in the first textual database to determine whether at least some of the one or more words should be replaced with at least some of the two or more linguistic objects in the first textual database, wherein each linguistic object includes a respective word, each word being a combination of consecutive characters or symbols.
Method comprising the steps of - receiving at least one first MRI image of an examination object, the at least one first MRI image showing a liver or part of a liver of the examination object, blood vessels in the liver being depicted with contrast enhancement as a result of a contrast agent, - receiving at least one second MRI image of the same examination object, the at least one second MRI image showing the same liver or the same part of the liver, healthy liver cells being depicted with contrast enhancement as a result of a contrast agent, - feeding the received MRI images to a prediction model, the prediction model having been trained by means of supervised learning to predict, on the basis of MRI images which show a liver or part of a liver of an examination object and in which the blood vessels in the liver are depicted with contrast enhancement as a result of a contrast agent and on the basis of MRI images of the same liver or the same part of the liver of the same examination object in which healthy liver cells are depicted with contrast enhancement as a result of a contrast agent, one or more MRI images showing the liver or part of the liver of the examination object without a contrast enhancement caused by a contrast agent, - receiving from the prediction model one or more predicted MRI images showing the liver or part of the liver of the examination object without a contrast enhancement caused by a contrast agent, - displaying and/or outputting the one or more predicted MRI images and/or storing the one or more predicted MRI images in a data memory. - receiving at least one first MRI image of an examination object, the at least one first MRI image showing a liver or part of a liver of the examination object, blood vessels in the liver being depicted with contrast enhancement as a result of a contrast agent, - receiving at least one second MRI image of the same examination object, the at least one second MRI image showing the same liver or the same part of the liver, healthy liver cells being depicted with contrast enhancement as a result of a contrast agent, - feeding the received MRI images to a prediction model, the prediction model having been trained by means of supervised learning to predict, on the basis of MRI images which show a liver or part of a liver of an examination object and in which the blood vessels in the liver are depicted with contrast enhancement as a result of a contrast agent and on the basis of MRI images of the same liver or the same part of the liver of the same examination object in which healthy liver cells are depicted with contrast enhancement as a result of a contrast agent, one or more MRI images showing the liver or part of the liver of the examination object without a contrast enhancement caused by a contrast agent, - receiving from the prediction model one or more predicted MRI images showing the liver or part of the liver of the examination object without a contrast enhancement caused by a contrast agent, - displaying and/or outputting the one or more predicted MRI images and/or storing the one or more predicted MRI images in a data memory.
Method for optimizing, in particular compressing, transmission data, in which transmission data in a communication network, in particular in a mobile radio network, are transmitted from a data source via a data connection to a data destination in an electronic terminal, wherein an optimization device is provided between the data source and the data destination, which optimizes, in particular compresses, the transmission data of the data source, and in which the optimized, in particular compressed, transmission data are transmitted from the optimization device to the data destination, characterized in that in the transmission data prior to their optimization, in particular compression, a data quality analysis process is performed, by means of which the quality of the transmission data is analysed, whether the characteristics and features of the transmission data fulfil set and/or provided requirements with regard to their suitability, that based on the performed data quality analysis, an individual degree of optimization, in particular degree of compression, related on the transmission data is determined by the optimization device, by determining a value for an optimization degree for the transmission data, that the value for the optimization degree is transmitted from the optimization device to the electronic terminal, that a request information is transmitted from the electronic terminal to the optimization device, that after receipt of the request information, the transmission data, based on the transmitted value for the optimization degree, are optimized, in particular compressed, individually and related to the actually transmitted transmission data, and that the optimized transmission data are subsequently transmitted to the data destination in the electronic terminal, wherein from the electronic terminal or from an application assigned to the electronic terminal a trigger signal for starting the optimization method is generated, wherein the trigger signal is transmitted to the optimization device and wherein the optimization method is carried out after receipt of the trigger signal in the optimization device.