Abstract: This specification discloses model running methods, apparatuses, computer-readable storage media and systems. In an example method, an original model is split to obtain a basic model and a trusted execution environment (TEE) model; and data of the basic model and data of the TEE model are delivered to a terminal device, so that a rich execution environment (REE) in the terminal device runs the data of the basic model, and a TEE in the terminal device runs the data of the TEE model.

Abstract: The present disclosure provides a method for induced differentiation of an extended pluripotent stem cell (EPSC) into a cardiomyocyte and use thereof, and belongs to the technical field of biomedicine. A reagent used for the induced differentiation is a culture medium having definite chemical components, which can obtain cardiomyocytes having high purity and stable between-batch differentiation efficiency. Compared with cardiomyocytes differentiated from existing pluripotent stem cells, the cardiomyocyte obtained has strong early proliferation ability, and more cell number can be obtained; after extended culture and construction into engineering heart microtissue, maturity is higher, the structure is more regularly arranged, and functional contractility is enhanced. Therefore, the present disclosure is a suitable for mechanism research of heart diseases, drug screening, and cell therapy, and thus has excellent practical application value.

Abstract: Aspects concern a data storage system comprising a data storage for storing data comprising a plurality of data elements, wherein each data element is associated with a data storage table, a data storage access interface configured to receive a request for an access to a data element from a data access client wherein the request comprises a identifier of the storage location of the data element and an access controller configured to determine a data storage table with which the data element is associated from the identifier of the storage location, determine whether the data access client has access rights to the determined data storage table allowing the access to the data element and grant the data access client access to the data element if the data access client has access rights to the determined data storage table allowing the access to the data element.

Abstract: A method comprises forming a single-crystal-like metal layer on a metal seed layer, the metal seed layer formed on a carrier wafer. The method comprises forming a first bonding layer on the single-crystal-like metal layer. The method also comprises forming a second bonding layer on a dielectric layer of a target substrate, the target substrate comprising one or more recording head subassemblies. The bonding layers may include diffusion layers or dielectric bonding layers. The method further comprises flipping and joining the carrier wafer with the target substrate such that the first and second diffusion layers are bonded and the single-crystal-like metal layer is integrated with the recording head as a near-field transducer.

Abstract: The present invention relates to a method for dissolving metals by photocatalysis. A metal-containing material to be dissolved is dispersed in a mixed solution of photocatalyst-containing cyanide and organic chloride; then, a photocatalyst is added; next, an oxygen-containing gas or a substance which is capable of generating oxygen is introduced; and irradiation is applied for a period of time to dissolve metals. Compared with the prior method, the present invention is advantageous in moderate reaction condition, energy conservation, environmental protection, low cost, and convenient operation, and is suitable for mass industrial treatment on metal dissolution.

Abstract: A whole-vehicle-based method for evaluating extreme pressure and antiwear properties of grease includes injecting the grease onto a key bearing pin and causing the engineering machine to operate without load is disclosed. The method includes causing the engineering machine to operate under a load of 10% to 150% rated load at least once, viewing and analyzing a wear condition of a surface of the bearing pin, and issuing a whole-vehicle-based evaluation report of extreme pressure and antiwear properties of grease. The engineering machine is caused to operate once under a load of 10% to 150% rated load for 0.5 min to 100 h.

Abstract: A hydrate kinetic inhibitor, which is prepared by a polymerization of mercaptoethanol and N-vinylcaprolactam, is hydroxyl terminated poly(N-vinylcaprolactam) having a structure of formula (I) below, wherein n=10 to 1000. The inhibitor is a novel hydrate kinetic inhibitor, which has low effective concentration and high cloud point, and is effective when the degree of supercooling is relatively high.

Abstract: A device includes a memory array, bit line pairs, word lines, a modulation circuit and a control signal generator. The memory array has bit cells arranged in rows and columns. Each bit line pair is connected to a respective column of bit cells. Each word line is connected to a respective row of bit cells. The modulation circuit is coupled with at least one bit line pair. The control signal generator is coupled with the modulation circuit. The control signal generator includes a tracking wiring with a tracking length positively correlated with a depth distance of the word lines. The control signal generator is configured to produce a control signal, switching to a first voltage level for a first time duration in reference with the tracking length, for controlling the modulation circuit. A method of controlling aforesaid device is also disclosed.

Abstract: A memory device includes a first transistor, a second transistor and a third transistor. The first transistor is coupled to a first word line at a first node. The second transistor is coupled to a second word line different from the first word line at a second node. A control terminal of the first transistor is coupled to a control terminal of the second transistor. The third transistor is coupled between a ground and a third node which is coupled to each of the first node and the second node. In a layout view, each of the first transistor and the second transistor has a first length along a direction. The first transistor, the third transistor and second transistor are arranged in order along the direction. A method is also disclosed herein.

Abstract: An interconnected computer system includes a Peripheral Component Interconnect Express (PCIe) fabric, a first computer system communicatively coupled to the PCIe fabric, a second computer system communicatively coupled to the PCIe fabric, and a shared single-access hardware resource coupled to the PCIe fabric. The first computer system includes a first processor and first memory coupled to the first processor configured to store a first flag indicating a desire of the first computer system to access the shared single-access hardware resource and a turn variable indicating which of the first computer system and the second computer system has access to the shared single-access hardware resource. The second computer system includes a second processor and second memory coupled to the second processor configured to store a second flag indicating a desire of the second computer system to access the shared single-access hardware resource.

Abstract: Techniques disclosed herein enable training and/or utilizing speaker dependent (SD) speech models which are personalizable to any user of a client device. Various implementations include personalizing a SD speech model for a target user by processing, using the SD speech model, a speaker embedding corresponding to the target user along with an instance of audio data. The SD speech model can be personalized for an additional target user by processing, using the SD speech model, an additional speaker embedding, corresponding to the additional target user, along with another instance of audio data. Additional or alternative implementations include training the SD speech model based on a speaker independent speech model using teacher student learning.

Abstract: A method, an apparatus, an electronic device and a storage medium for training a user click model, which relate to the artificial intelligence field, are disclosed. is the method may include: collecting a plurality of pieces of behavior data from a log database of users on a network, each piece of behavior data including a user's feedback information regarding resources in the network within a preset time period; generating a plurality of resource access features respectively corresponding to the plurality of pieces of behavior data, based on a pre-created header resource library and the plurality of pieces of behavior data; and training the user click model with the plurality of resource access features. The technical solution provides a lossless modeling manner which, compared to the existing modeling manners, may effectively optimize the precision and improve the accuracy of the user click model.

Abstract: A clustered storage system includes a plurality of storage devices, each of which contributes a portion of its memory to form a global cache of the clustered storage system that is accessible by the plurality of storage devices. Cache metadata for accessing the global cache may be organized in a multi-layered structure. In one embodiment, multi-layered structure has a first layer first including a first address array, and the first address array include addresses pointing to a plurality of second address arrays in a second layer. Each second address array in the second layer includes addresses, each of which points to data that has been cached in the global cache.

Abstract: A computer implemented method comprises accessing data stored in memory of the computer system, wherein the memory includes a faster access storage medium and a slower access storage medium; determining respective exponential moving averages of a number of access operations performed on respective memory locations of the memory; and transferring a portion of the data into the faster access storage medium and transferring a portion of the data into the slower access storage medium according to the determined exponential moving average.

Abstract: A poultry voiceprint identification system includes a receiver, a feature processing module, a feature analysis module and an artificial intelligence sound model. The receiver is arranged in a poultry house for receiving a recording information of a poultry house for a period of time. A stocking density of poultry in the poultry house is 7 per square meter or more. The feature processing module converts the recording information into a plurality of sound features via filtering, segmentation and extraction methods. The artificial intelligence sound model generates a training group according to the sound features. The feature analysis module analyzes each sound feature to determine a sound state of each sound feature through an artificial intelligence sound model. The sound state includes a normal poultry sound state or an abnormal poultry sound state. The system accurately and quickly identifies the sound from abnormal poultry among high stocking density poultry.

Abstract: A heat-assisted magnetic recording head includes a near-field transducer including a plasmonic disk and a multilayer near-field emitter. The multilayer near-field emitter is configured to produce a hot spot on a proximal magnetic disk. The multilayer near-field emitter is disposed in a down-track direction relative to and coupled to the plasmonic disk.

Abstract: A full continuous-flow preparation method of (+)-biotin, including: subjecting a cyclic anhydride and a chiral biphenyl propylene glycol to asymmetric ring-opening reaction to produce a first intermediate, which undergoes selective reduction with a borohydride and cyclization with an inorganic mineral acid to produce (3aS, 6aR)-lactone; subjecting the (3aS, 6aR)-lactone and a sulfenylating reagent to sulfenylation to produce (3aS, 6aR)-thiolactone, which undergoes Fukuyama coupling with a zinc reagent in the presence of a palladium catalyst and elimination reaction in the presence of an inorganic mineral acid to produce an alkenyl valerate compound; subjecting the alkenyl valerate compound to reduction in the presence of a Pd/C catalyst to produce a valerate ester, which undergoes hydrolysis to produce a valeric acid salt; and subjecting the valeric acid salt to debenzylation in the presence of an inorganic mineral acid to produce the target product (+)-biotin.

Abstract: A recording head has a near-field transducer proximate a media-facing surface of the recording head. A waveguide overlaps and delivers light to the near-field transducer. Two subwavelength focusing mirrors are at an end of the waveguide proximate the media-facing surface. The subwavelength mirrors are on opposite crosstrack sides of the near-field transducer and separated from each other by a crosstrack gap. The subwavelength focusing mirrors each include a core having a first edge exposed at the media-facing surface. The core formed of a core material that is resistant to mechanical wear and corrosion, such as a dielectric or robust metal. A liner covers a second edge of the core facing the near-field transducer. The liner includes a plasmonic metal that is different than the core material, such as Au or Al.

Abstract: Methods and systems for training and/or using a language selection model for use in determining a particular language of a spoken utterance captured in audio data. Features of the audio data can be processed using the trained language selection model to generate a predicted probability for each of N different languages, and a particular language selected based on the generated probabilities. Speech recognition results for the particular language can be utilized responsive to selecting the particular language of the spoken utterance. Many implementations are directed to training the language selection model utilizing tuple losses in lieu of traditional cross-entropy losses. Training the language selection model utilizing the tuple losses can result in more efficient training and/or can result in a more accurate and/or robust model—thereby mitigating erroneous language selections for spoken utterances.

Abstract: A method for monitoring defects of a product implemented in an electronic device obtains product data in real time and determines whether a product is defective based on the product data; when the product is defective, outputting first warning information based on the number of defects of the product which satisfy a first preset condition; obtaining a rate of defects of the product every first preset time period, and outputting second warning information based on the rate of defects of the product when the rate of defects satisfies at least one of a second, third, and fourth preset conditions; when any warning information is output, analyzing distribution of the defects of the product; and predicting at least one cause of each defect of the product according to historical maintenance data of the product and a self-learning record of the electronic device.