Abstract: Using labelled training content, a content classification model is trained. Using the trained content classification model, a label describing a first content is determined. The first content is classified into a category in a set of categories using the label. Responsive to the first content being classified into a category of inappropriate content, the first content is removed from a storage location.

Abstract: Provided are transaminase mutants and uses thereof. The transaminase mutant is obtained by one or more amino acid mutations occurring in SEQ ID NO: 2 or is a mutant with a conserved amino acid mutation obtained by taking the sequence SEQ ID NO: 1 of a wild-type CvTA transaminase as a reference. Compared with wild-type transaminases, the catalytic activity of the mutant is improved to different degrees, so that the production efficiency of chiral amine compound synthesis may be improved.

Abstract: The capability to print to a portable document format (PDF) file is provided in a virtualized computing environment that supports a virtual desktop infrastructure (VDI). Printing-related properties, of local printers coupled to a client device, are provided to a host, so that virtual printers at the host can be configured with the printing-related properties. A simulator may be provided at the host to receive the printing-related properties from the client device and to receive a query from a virtualized computing instance for the printing-related properties, instead of the query being directly sent to the client device.

Abstract: A method for contrastive learning by selecting dropout ratios and locations based on reinforcement learning includes receiving training data having a positive sample corresponding to a target and negative samples not corresponding to the target. A dropout policy for a neural network is produced based on the training data, where the dropout policy identifies at least one connection between neurons in the neural network to dropout. The training data is encoded, based on the dropout policy, to form embeddings, where the embeddings include multiple positive sample embeddings corresponding to the positive sample and multiple negative sample embedding corresponding to the negative samples.

Abstract: A gamma tuning method, apparatus, device, and storage medium and belongs to the field of display technology. The method includes: selecting a plurality of different target dimming values, and correspondingly setting, for each of the target dimming values, a same voltage gamma max power and a same voltage gamma small power; for each of the target dimming values, obtaining a gamma register value for 0 gray scale under the target dimming value according to the voltage gamma max power, the voltage gamma small power, a maximum gamma register value, and a target voltage for 0 gray scale under the target dimming value; and writing the gamma register value for 0 gray scale under the target dimming value into a gamma register of the display panel.

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: A heat-assisted magnetic recording head includes a first feature, a second feature, and a bilayer adhesion structure. The first feature includes a first primary metal. The second feature includes an oxide region, and a mixed metal oxide adhesion layer that is adhered to the oxide region and provided on a surface of the second feature. The bilayer adhesion structure includes the mixed metal oxide adhesion layer of the second feature, and a metal adhesion layer. The metal adhesion layer is disposed between and adhered to the first feature and the mixed metal oxide adhesion layer of the second feature. The metal adhesion layer includes a second primary metal that is different than the first primary metal.

Abstract: The present disclosure provides an image clipping method. The method includes obtaining original volume data, labeling a region of interest in the volume data, clipping the original volume data, and generating an image based on the clipped volume data. The labeled region of interest is defined as a non-clipping object such that only volume data other than the region of interest is clipped.

Abstract: A hard disk drive (HDD) includes a heat-assisted magnetic recording (HAMR) head. The HAMR head includes one or more features comprising a nanoparticle-reinforced plasmonic matrix. The nanoparticle-reinforced plasmonic matrix comprises a plasmonic metal and a plurality of nanoparticles dispersed in the plasmonic metal. The nanoparticles comprise a transparent conductive oxide.

Abstract: Disclosed are various approaches for recommending remotely executed applications for opening files. In one approach, an indication is received that a user desires to open the local file of a client device remotely. At least one remotely executed application is identified to open the local file remotely. A user interface is rendered by the client device that facilitates selection from among the remotely executed application(s). A user selection of a particular remotely executed application generated through the user interface is received. The particular remotely executed application opens the local file remotely.

Abstract: A phthalonitrile-based composite material has a thermally conductive filler. The thermally conductive filler is distributed in the phthalonitrile matrix resin, or the thermally conductive filler is distributed in a thermally conductive filler layer at least partially covering the surface of the phthalonitrile-based microspheres. The phthalonitrile-based composite material has good application prospects in the fields of heat conduction and heat conductive insulation.

Abstract: In an approach for road section recognition using multi-modal cognitive mechanism, a processor receives an audio signal from a road test. A processor processes the audio signal to generate an acoustic spectrum density distribution map to identify a respective at least one road section switching point in a first mode. A processor processes a spectrogram of the audio signal to identify the respective at least one road section switching point in a second mode. A processor uses a machine learning model to predict an expected sound at each frame of the audio signal, to calculate a similarity between the expected sound and an actual sound, and to identify the respective at least one road switching point when the similarity is lower than a pre-set similarity threshold in a third mode. A processor combines results of the three modes to obtain a final set of road section switching points.

Abstract: A visualized surgical assembly is provided, characterized in that the visualized surgical assembly includes a disposable drainage tube and a functional tube for providing visualization function, the disposable drainage tube and the functional tube are connected detachable along the axial of the tube body, and the functional tube is provided with a self-destructive part for cutting the disposable drainage tube. A corresponding endoscope is also provided. The visualized surgical assembly is a combination structure of the disposable drainage tube and the functional tube which can provide visualization function. The disposable drainage tube can removable connect with the functional tube, and the functional tube can be repeated disinfection, which can reduce the cost and avoid the risk of cross infection.

Abstract: A method for image processing, which comprises the following steps: Generating a first histogram from a first image; Calculating a first parameter profile from the first image indicative of the quality of the first image; Adjusting the first parameter profile to generate a second parameter profile; Using the second parameter profile to generate a statistical distribution via a statistical distribution generator, wherein the statistical distribution is characterized by at least three parameters; Using the statistical distribution to perform a histogram specification to the first histogram of the first image to generate a second histogram; Generating a second image based on the first image and the second histogram.

Abstract: Provided is a method for synthesizing a chiral diamine compound. The synthesizing method includes: converting a substrate represented by Formula I into a chiral diamine compound in Formula I by using a transaminase, herein n=1˜10, an R group represents an alkyl, a cycloalkyl, a heteroatom-containing alkyl, a heteroatom-containing cycloalkyl, a heteroatom-containing aryl, an amide compound residue, or an ether compound residue, and a hetero atom is at least one from among O, S and N; R1 and R2 are the same or not the same, the R1 and R2 are respectively and independently hydrogen, a C1-C3 alkyl, or an amino protecting group; and the transaminases are derived from a plurality of strains.

Abstract: An information processing system includes: a service system, a plurality of agent machines, and a plurality of encryption machines. The plurality of agent machines and the plurality of encryption machines are divided into a plurality of groups, and each group includes at least two encryption machines and a plurality of agent machines communicatively connected to the at least two encryption machines. The encryption machine is configured to encrypt and decrypt data from the service system and to perform signature verification on the data when the service system performs a security call on the encryption machine via the agent machine in the group containing the encryption machine. The service system is configured to perform service processing and to perform the security call on the encryption machine via the agent machine in the group containing the encryption machine.

Abstract: Provided are a high-entropy carbide ceramic, a rare earth-containing high-entropy carbide ceramic, fibers thereof, precursors thereof, and preparation methods thereof. The precursor includes at least four elements selected from Ti, Zr, Hf, V, Nb, Ta, Mo, and W, with each metal element accounting for 5-35% of the total molar quantity of metal elements in the precursor. The rare earth-containing high-entropy carbide ceramic precursor includes at least four transition metal elements and at least one rare-earth metal element. The high-entropy ceramic is a single-crystal-phase high-performance ceramic prepared from the precursor, with each element being homogenously distributed at molecular level.

Abstract: In order to perform a semantic search based on a graph database, sets of nodes are selected from a plurality of nodes in a graph database. A set of nodes semantically matches a keyword in a natural language query. At least one target node is identified in the sets of nodes. A path is selected from candidate paths based on similarities between the candidate paths and a plurality of paths in the graph database. A graph query for retrieving information from the graph database is generated based on the selected path and the query target.

Abstract: A near-field transducer or heat sink is formed via a first process. The near-field transducer or heat sink is transfer-printed to a read/write head via a second process.

Abstract: Techniques for training a machine learning model to determine a predicted time distribution related to electronic communications are discussed herein. The machine learning model is trained based at least in part on time to open data indicative of respective time to open terms that begin at respective transmission times for electronic communications and end at respective electronic communication access event times. Additionally, based at least in part on the predicted time distribution determined by the machine learning model, respective access scores for an electronic communication being accessed via the user device at the respective times are determined to provide a new electronic communication for rendering via an electronic interface of a user device.