Abstract: A cleaning base used for laundry treatment is provided. The cleaning base includes a bottom frame and a water inlet pipeline. A cleaning portion, and a cleaning cavity for containing a ground cleaning device are formed in the base. The cleaning portion is used for cleaning at least part of the ground cleaning device. The water inlet pipeline is in communication with the cleaning portion and a tap water source. Since the water inlet pipeline is in communication with the tap water source, it is not necessary to provide a water storage structure having a large structural size for the cleaning base. The overall structural size of the cleaning base is reduced. The tap water source can continuously supply water to a cleaning tank. Thus, a user does not need to manually add water to the water storage structure.

Abstract: A method is provided to using a generative adversarial network to generate map geometry from images representing probe data. Methods may include: receiving a rasterized image representative of probe data within a geographic area, where each pixel of the rasterized image includes a property representing at least one component of the probe data; generating a prediction image of road features within the geographic area using a generative adversarial network based on trained model parameters and the rasterized image; determining one or more map elements based, at least in part, on the prediction image and georeferenced locations of the road features within the prediction image; and updating a map of the geographic area with one or more map elements.

Abstract: Disclosed are a Nested Named Entity Recognition method based on part-of-speech awareness, system, device and storage medium therefor. The method uses a BiLSTM model to extract a feature of text word data in order to obtain a text word depth feature, and each text word of text to be recognized is initialized into a corresponding graph node, and a text heterogeneous graph of the text to be recognized is constructed according to a preset part-of-speech path, the text word data of the graph nodes is updated by an attention mechanism, and the features of all graph nodes of the text heterogeneous graph are extracted using the BiLSTM model, and a nested named entity recognition result is obtained after decoding and annotating. The present disclosure can recognize ordinary entities and nested entities accurately and effectively, and enhance the performance and advantages of the nested named entity recognition model.

Abstract: A semiconductor structure includes a substrate. The substrate includes a shielding region and a device region. The shielding region includes a first active region parallel to a first direction. The device region includes a second active region parallel to the first direction. The semiconductor structure also includes first isolation structures located on the shielding region. The first isolation structures run through the first active region along the second direction. The semiconductor structure also includes first gate structures located on the device region. The first gate structures cross the second active region along the second direction. The semiconductor structure also includes a second isolation structure located on the device region. The second isolation structure runs through the second active region along the second direction. The semiconductor structure also includes a dielectric layer on the substrate and an inductance coil on the dielectric layer.

Abstract: A method for manufacturing a stator for a rotary electric machine including: a first disposing process of disposing one workpiece for stator in a first station (ST1); a first welding process of completing welding of a first part of stator coil in the one workpiece in ST1; a second disposing process of disposing an other one workpiece for stator in a second station (ST2); and a second welding process of completing welding of a second part of stator coil in other one workpiece in ST2, wherein first welding process includes first irradiation process of irradiating first part with a laser beam for welding, second welding process includes second irradiation process of irradiating second part with a laser beam for welding, first and second irradiation processes have a time difference, and laser beam used in each of the first and second irradiation processes are generated based on the same oscillator.

Abstract: A method is provided for generation of map geometry through rasterization of probe data over time, where the generated map geometry can be used for map element generation. Methods may include: receiving probe data from a plurality of probe apparatuses within a geographic area where the probe data includes location information and time information; rasterizing the received probe data to generate an image corresponding to the probe data associated with the geographic area, where each pixel of the image includes a property representing at least one component of the probe data; processing the image to obtain one or more map elements; and updating a map database with the one or more map elements.

Abstract: A method is provided for automatically creating road and lane geometry from images representing probe data within a geographical area using data aggregation and conflation. Methods may include: receiving first observation data associated with a geographic area; processing the first observation data through a first encoder to produce first embeddings; receiving second observation data associated with the geographic area; processing the second observation data through a second encoder to produce second embeddings; establishing contrastive loss between the first embeddings and the second embeddings; producing consistent embeddings from the first embeddings and the second embeddings using the contrastive loss; generating, from the consistent embeddings, map data reflecting the first observation data and the second observation data; and updating a map database with the map data.

Abstract: This invention relates to CTLA-4 protein compositions and their use in the mitigation of autoimmune adverse events associated with cancer immunotherapy.

Abstract: Disclosed is a system for classifying encrypted traffic based on a data packet. The system includes a traffic capture module, a traffic analysis module, and a traffic classification module. The system collects data packets from a network flow to construct a machine learning model, so as to classify encrypted traffic and identify normal traffic and malicious traffic. In a process of constructing a feature matrix, basic spatial-temporal features, header features, load features, and statistical features are obtained. In addition, behavioral features of the data packets are obtained and used to demonstrate differences between the normal traffic and the malicious traffic. Moreover, the present disclosure focuses on a difference between different versions of an encryption protocol, especially a transport layer security (TLS) protocol, and introduces the difference into a model for analysis, so that the system classifies encrypted traffic in a more efficient manner.

Abstract: This method of manufacturing a stator includes a step of removing insulating coatings on first surfaces of lead wire portions that are surfaces to be welded, and a step of welding together the first surfaces by a green laser with the insulating coatings on the first surfaces being removed and with insulating coatings on second surfaces opposite the first surfaces being unremoved.

Abstract: The present disclosure provides for improved methods for expanding tumor infiltrating lymphocytes (TILs) and producing therapeutic populations of TILs in a shorter time period than the traditional methods. TIL cell therapy products can be manufactured which easily meet the target cell dose while maintaining desired T cell phenotype.

Abstract: A method is provided to automatically create road and lane geometry from images representing map geometry within a geographical area using object detection. Methods may include: receiving a rasterized image representative of map geometry within a geographic area, where each pixel of the rasterized image includes a property representing at least one component of the map geometry; applying an object detection model to the rasterized image; generating a list of the bounding boxes together with classes of objects within the bounding boxes based on the object detection model; generating map data from the list of bounding boxes and the classes of objects within the bounding boxes; and updating a map in a map database with the map data.

Abstract: A method is provided for automatically creating road and lane geometry from images representing probe data within a geographical area using graph estimation. Methods may include: receiving a rasterized image representative of map geometry within a geographic area, where each pixel of the rasterized image includes a property representing at least one feature of the map geometry; identifying pixels within the rasterized image corresponding to nodes of one or more map elements as node pixels; determining, for a respective node pixel, presence of a next node based on the at least one property of the respective node pixel; determining for the respective node pixel, a location corresponding to the next node based on the at least one property of the respective node pixel; generating, from a sequence of node pixels, at least one map element; and updating a map in a map database with the at least one map element.

Abstract: A method is provided automatically creating map geometry from data from various sources gathered within a geographical area using data aggregation and conflation with statistical analysis. Methods may include: receiving observation data associated with a geographic area; rasterizing objects within the observation data onto corresponding channels in a raster image corresponding to the geographic area having a given resolution; determining a distribution of locations of the objects parameterized by values in different channels in the raster image from the observation data; extracting analytic geometries from the raster image; generating map geometry based on the extracted analytic geometries; and updating a map database with the generated map geometry.

Abstract: This disclosure relates to methods, uses, and compositions (e.g., articles of manufacture and kits) comprising an anti-OSMR? antibody, such as vixarelimab, for the treatment of inflammatory gastrointestinal diseases associated with the oncostatin M (OSM) pathway (e.g., inflammatory bowel disease (IBD) (e.g., ulcerative colitis (UC (e.g., moderate to severe UC)) and Crohn's disease (CD)).

Abstract: This invention relates to CTLA-4 protein compositions and their use in the mitigation of autoimmune adverse events associated with cancer immunotherapy.

Abstract: This invention relates to anti-CTLA-4 antibody compositions that bind to the human CTLA-4 molecule, and the use of the compositions in cancer immunotherapy and for reducing autoimmune side effects compared to other immunotherapeutic agents.

Abstract: This invention relates to anti-CTLA-4 antibody compositions that bind to the human CTLA-4 molecule, and the use of the compositions in cancer immunotherapy and for reducing autoimmune side effects compared to other immunotherapeutic agents.

Abstract: An apparatus including an assembly associated with a downhole tool configured to thermally isolate a thermally sensitive component. Components of the assembly include an external isolating vessel; a passive thermal barrier encased in the external isolating vessel; at least one electronic component housed within the downhole tool for monitoring geothermal well properties; and at least one thermally sensitive electronics carrier package positioned within the passive thermal barrier comprising thermally sensitive electronic components. The passive thermal barrier ideally comprises an additively manufactured layered labyrinthine shell structure, a plurality of polarly phased centralizers between shell layers and minimal centralizing contact points on its exterior shell, to minimize known heat transfer modes associated with the external isolating vessel.

Abstract: A high temperature-resistant fire extinguishing robot, comprising: a high temperature-resistant robot chassis system and a high temperature-resistant turret system. The high temperature-resistant robot chassis system carries the high temperature-resistant turret system to perform movements and obstacle avoidance, provides the high temperature-resistant turret system with energy, and further comprises: a high temperature-resistant tract drive system, a thermal protection system, and a control and sensor system, the high temperature-resistant track drive system being arranged outside of the thermal protection system, and the control and sensor system being arranged within the thermal protection system.