Abstract: Disclosed are an unblocking apparatus for a furnace discharging pipe and a use method. The unblocking apparatus includes a rail, a rail car that may move along the rail, an unblocking drive mechanism arranged on the rail car, a heat-unblocking component, a cold-unblocking component, and a material receiving component that is used to receive a blocking material in the discharging pipe, and a drive end of the unblocking drive mechanism is detachably connected with one end of the heat-unblocking component and the cold-unblocking component respectively. The present application effectively handles different blockage situations of the furnace discharging pipe by connecting the unblocking drive mechanism with an unblocking rod capable of heat-unblocking and a drilling rod capable of cold-unblocking, thereby two modes of heat-unblocking and cold-unblocking are performed on the furnace discharging pipe; and the discharging pipe may be unblocked by a remote operation.

Abstract: A method includes obtaining, based on a sequential graph-based model, gaming exposure information over time, where the gaming exposure information includes device-level preferences and household-level preferences. The method also includes combining one or more raw user behavior sessions into a gameplay session based on the obtained gaming exposure information. The method further includes providing a scoring metric to (i) check an extent of multi-matching in the obtained gaming exposure information and (ii) remove untrustworthy gaming exposures from the obtained gaming exposure information. In addition, the method includes generating, based on a feature engineering pipeline, one or more game segments running in a production environment, where the one or more game segments are identified for ancillary content based on inferences by a machine learning model trained using the gaming exposure information.

Abstract: The present disclosure relates to a NiTi alloy surface cutting process and a roughness adjustment method. Aiming at defects of difficult machining and unsatisfactory machining performance of Ni—Ti alloys, the present disclosure provides a surface cutting process of a difficult-to-machine nickel-titanium alloy, in which firstly, the nickel-titanium alloy is transformed from a two-phase state to a single-phase state using its transformation characteristic, and electrochemical nickel removal treatment is carried out on a surface of the alloy in the single-phase state so as to obtain a porous surface layer, and then a surface material with the porous surface layer is cut. The method provided by the present disclosure can effectively reduce machining difficulty of alloy materials, and can also obtain alloy workpieces with adjustable roughness, which is of great significance for NiTi alloy machining.

Abstract: The embodiments of the present disclosure provide a detachable anti-vibration sealing protection device for a pipe flange. The protection device includes a casing, wherein left and right end surfaces of the casing have through holes for the pipeline to pass through, and the casing has an accommodation cavity for placing the flange; a first shock absorption assembly for radial shock absorption of the flange; and a second shock absorption assembly which is installed in a one-to-one correspondence with the flange and is configured for axial shock absorption of the corresponding flange. The first shock absorption assembly and the second shock absorption assembly are installed in the accommodation cavity.

Abstract: Electrolytes and electrolyte additives for energy storage devices comprising cyanate based compounds are disclosed. The energy storage device comprises a first electrode and a second electrode, wherein at least one of the first electrode and the second electrode is a Si-based electrode, a separator between the first electrode and the second electrode, an electrolyte comprising at least two electrolyte co-solvents, wherein at least one electrolyte co-solvent comprises a cyanate based compound.

Abstract: Provided is an apparatus for automatically classifying an input sound source according to a preset criterion and are an apparatus and method for automatically classifying a sound source according to a set criterion by using deep learning. The apparatus for classifying a sound source includes a processor and a memory connected to the processor and storing a deep learning algorithm and original sound data, wherein the memory stores program instructions executable by the processor to generate n pieces of image data corresponding to the original sound data according to a preset method, generate training image data corresponding to the original sound data by using the n pieces of image data, train the deep learning algorithm by using the training image data, and classify target sound data according to a preset criterion by using the deep learning algorithm, wherein the n is a natural number greater than or equal to 2.

Abstract: A substrate includes a driving backplane, a plurality of first connecting lines and a plurality of second connecting lines. The driving backplane includes a base substrate, at least one first lead group and at least one second lead group. Each first lead group includes a plurality of first leads, and each second lead group includes a plurality of second leads. A first lead group and a corresponding second lead group is disposed in a peripheral region. The plurality of first connecting lines are disposed on at least one side face of the driving backplane, each first connecting line is electrically connected to at least one first lead. The plurality of second connecting lines are disposed on the at least one side face of the driving backplane, each second connecting line is electrically connected to at least one second lead, and is in contact with a corresponding first connecting line.

Abstract: The present disclosure discloses a rolling ring shrink fitting tool for rotary equipment, including a lifting frame; a movement slot is formed in a bottom surface of a top of the lifting frame; an output end of a first motor is connected with a main gear; guide rollers are embedded in a lifting seat through bearings; shrink fitting plates are two semicircular structures; lifting lugs are welded on outer sides of the shrink fitting plates; tooth rings are arranged outside the shrink fitting plates; stop rods are fixed on inner walls of the tooth rings; supporting screw rods are embedded at sunken positions on inner walls of the shrink fitting plates through bearings.

Abstract: Exfoliated nanoplatelets functionalized with a non-polar moiety, such as an ethylene or propylene derived polymer, are useful for forming composites, films, and polymer blends.

Abstract: A method and system for estimating wax or hydrate deposits is desirable for the oil industry and important for assuring flow conditions and production, avoiding downtime, and reducing or preventing costly interventions. The method and system disclosed herein use artificial intelligence and machine learning techniques combined with oil well historical operational sensor data and historical operational event records (such as diesel hot flush, slick line, coil tubing, etc.) to build an oil well model. The method and system enable oil well practitioners to test and validate the built model and deploy the model online to estimate and/or detect wax or hydrate deposition status. By using one or more such models in operating an oil well, users can monitor and/or detect the status of wax of hydrate deposits in an oil well and can optimize production, maintenance, and planning for oil wells.

Abstract: Apparatuses, systems, and methods for a user equipment device (UE) to perform methods for Fifth Generation New Radio (5G NR) frequency range two (FR2) based communications beam management. The UE may configure, via communications with a base station, serving the UE, a group ID for PUCCH resources within a group of PUCCHs, e.g., for FR2 based communications. The UE may receive, from the base station, an update to one or more PUCCH resources within the group of PUCCHs via a medium access control (MAC) control element (CE) that may include one of a resource ID indicating an update to a PUCCH resource or the group ID to update the group of PUCCH resources. The UE may update, based on the MAC-CE, the one or more PUCCH resources within the group of PUCCHs.

Abstract: The present disclosure discloses a rolling ring shrink fitting tool for rotary equipment, including a lifting frame; a movement slot is formed in a bottom surface of a top of the lifting frame; an output end of a first motor is connected with a main gear; guide rollers are embedded in a lifting seat through bearings; shrink fitting plates are two semicircular structures; lifting lugs are welded on outer sides of the shrink fitting plates; tooth rings are arranged outside the shrink fitting plates; stop rods are fixed on inner walls of the tooth rings; supporting screw rods are embedded at sunken positions on inner walls of the shrink fitting plates through bearings.

Abstract: Electrolyte formulations for energy storage devices are disclosed. The energy storage device comprises a first electrode and a second electrode, where one or both of the first electrode and the second electrode is a Si-based electrode, a separator between the first electrode and the second electrode, and an electrolyte composition. Electrolyte formulations as described herein are electrolyte compositions comprising two or more components such as solvents, co-solvents, salts and/or additives. In some embodiments, three or more, four or more, five or more, six or more, seven or more, or eight or more components are included in the electrolyte composition.

Abstract: Disclosed is a method and system for predicting a touch interaction position on a large display based on a binocular camera. The method includes: separately acquiring arm movement video frames of a user and facial and eye movement video frames of the user by a binocular camera; extracting a video clip of each tapping action from the arm movement video frames and the facial and eye movement video frames and obtaining a key frame by screening; marking the key frame of each tapping action with coordinates to indicate coordinates of a finger in a display screen; inputting the marked key frame to an efficient convolutional network for online video understanding (ECO)-Lite neural network for training to obtain a predictive network model; and inputting a video frame of a current operation to be predicted to the predictive network model and outputting a touch interaction position predicted for the current operation.

Abstract: Disclosed are a biomarkers composition related to diagnosis and prognosis of immunoglobulin A nephropathy (IgAN) and application thereof, belonging to the field of biomedicine. The biomarkers composition includes at least one of cytokines of FCAR, MBL and MMP-9. It is found after screening and analysis that FCAR, MBL and MMP-9 are associated with the diagnosis of IgAN, especially with severe IgAN. With protein microarray, patients of mild IgAN and severe IgAN, and healthy people are distinguished with high specificity and sensitivity according to the present disclosure.

Abstract: A method for partitioning a search direction when using least squares reverse time migration (LSRTM) is provided. LSRTM may be used iteratively in order to improve imaging accuracy. As part of LSRTM, multiple local line searches may be performed. In particular, image space may be partitioned, such as by using a set of masks. The search direction, such as the gradient, may be partitioned using the set of masks. Local line searches may be performed for each partition of the search direction, resulting in finding respective line search constants. The respective line search constants may then be used for iterating the model in order to improve imaging accuracy.

Abstract: A computer-implemented method for text block segmentation includes determining a first text block segmentation pattern utilized to generate a segmented text block based, at least in part, on a comparison of semantic information associated with the segmented text block and a plurality of predefined types of text block segmentation patterns indicated by a graph; calculating a first degree of confidence in a size of the segmented text block based, at least in part, on comparing semantic entities associated with the segmented text block with semantic entities indicated by leaf nodes stemming from a first non-leaf node included in the graph and representative of the first type of text block segmentation pattern; and determining that the size of the segmented text block is non-optimal based on the calculated degree of confidence in the size of the segmented text block being below a predetermined threshold.

Abstract: Embodiments control and optimize batch processes. An embodiment obtains and standardizes historical operating data from a plurality of batch production runs of an industrial process. For each batch production run, the standardized operating data corresponding to the batch is partitioned into one or more stages and one or more signature for each stage is determined using the partitioned standardized data. Each determined signature is associated with a class label based upon whether output of a batch run corresponding to the signature conforms or does not conform with operational standards. A model is trained, with at least a subset of the signatures as inputs and associated class labels as outputs, to predict, based on operating data from a real-world batch process, whether output of the process will conform or not conform with the operational standards. Online predictions can be automatically or manually applied to control and optimize a batch production run.

Abstract: Embodiments of the present disclosure provide functionality for creating a sustainable dynamic reduced-order model (SDROM) for operating a real-world industrial process. The model is based upon a reduced order model (ROM) trained using data obtained from simulations performed using a first-principles model (FPM) of the real-world industrial process. The trained ROM is divided into multiple-input, single-output (MISO) sub-models, which are partitioned into component terms for incorporation of respective gain factors. The SDROM is deployed online to operate the real-world industrial process with one or more optimization objectives and the SDROM is periodically calibrated and validated using historical operation data.

Abstract: A platinum-on-carbon catalyst, a preparation method therefor and the use thereof are provided. Among S2P spectral peaks thereof analyzed by means of XPS between 160 eV and 170 eV, the area of characteristic peaks (preferably a characteristic peak of thiophenic sulfur) located between 162 eV and 166 eV is more than 92%, or more than 95%, or more than 98%, or even only the characteristic peaks (preferably the characteristic peak of thiophenic sulfur) located between 162 eV and 166 eV. A carrier of the platinum-on-carbon catalyst is sulfur-doped conductive carbon black. The carrier of the platinum-on-carbon catalyst, i.e. conductive carbon black, is modified, and by controlling the doping form of the doping element, the mass specific activity and the electrochemical active area of the platinum-on-carbon catalyst are significantly improved. The stability and carbon corrosion resistance of the platinum-on-carbon catalyst can also be improved.