Abstract: A method for preparing a Plectranthus amboinicus (PA) extract, the method comprising extracting an above-ground part of Plectranthus amboinicus with an extracting solution that comprises a solvent having a suitable polarity index, filtrating and concentration the extract thus produced, and subject the concentrated extract to a chromatographic separation process using a hydrophobic interaction chromatography resin to produce the PA extract.

Abstract: Anchor tree cross-merge within a distributed storage system. A computer system identifies a data structure that includes (i) a root anchor tree and (ii) an ordered set of anchor trees that are ordered based on their creation, such that a last anchor tree of the ordered set of anchor trees is most-recently created. The data structure stores index data for a set of objects stored in a non-volatile storage. The computer system creates a new anchor tree in the ordered set of anchor trees. The computer system identifies, from a set of delta tables, index data representing one or more objects that are stored on the non-volatile storage. The computer system merges the index data representing the one or more objects into the new anchor tree.

Abstract: A server may be provided to obtain a load balancing artificial intelligence (AI) model for a plurality of base stations in a communication system. The server may obtain teacher models based on traffic data sets collected from the base stations, respectively; perform a policy rehearsal process including obtaining student models based on knowledge distillation from the teacher models, obtaining an ensemble student model by ensembling the student models, and obtaining a policy model by interacting with the ensemble student mode; provide the policy model to each of the base stations for a policy evaluation of the policy model; and based on a training continue signal being received from at least one of the base stations as a result of the policy evaluation, update the ensemble student model and the policy model by performing the policy rehearsal process on the student models.

Abstract: The embodiments of this application disclose a method for generating sign language video performed by a computer device. The method includes the following steps: acquiring acquiring listener text, the listener text conforming to grammatical structures of a hearing-friendly person; performing summarization extraction on the listener text to obtain summary text, a text length of the summary text being shorter than a text length of the listener text; converting the summary text into sign language text, the sign language text conforming to grammatical structures of a hearing-impaired person; and generating the sign language video based on the sign language text.

Abstract: A temporal sequence alignment method includes the following steps: receiving gesture training data and gesture sample data; wherein the gesture training data includes multiple training frames and multiple training soft labels, and the gesture sample data includes multiple sample frames and multiple sample soft labels; compressing the training frames to generate a compressed training frame; compressing the sample frames to generate a compressed sample frame; calculating an alignment model of the compressed training frame and the compressed sample frame; aligning the sample soft labels to multiple aligned soft labels according to the alignment model; generating an aligned training data according to the gesture sample data and the aligned soft labels. The present invention uses the aforementioned steps to calibrate the sample soft labels of the gesture sample data, allowing a gesture recognition system to minimize time discrepancy for recognizing a gesture.

Abstract: Transfer learning based on prediction determines a similarity between a source base station and a target base station. Importance of parameters is determined and training is adjusted to respect the importance of parameters. A lack of historical data is compensated by selecting a base station as source base station which has a larger amount of historical data.

Abstract: A server may be provided to obtain a load balancing artificial intelligence (AI) model for a plurality of base stations in a communication system. The server may obtain teacher models based on traffic data sets collected from the base stations, respectively; perform a policy rehearsal process including obtaining student models based on knowledge distillation from the teacher models, obtaining an ensemble student model by ensembling the student models, and obtaining a policy model by interacting with the ensemble student mode; provide the policy model to each of the base stations for a policy evaluation of the policy model; and based on a training continue signal being received from at least one of the base stations as a result of the policy evaluation, update the ensemble student model and the policy model by performing the policy rehearsal process on the student models.

Abstract: An optical transceiver includes a housing, an optical communication module and a heat dissipation module. The optical communication module includes a substrate, a first optical communication component and a second optical communication component located at opposite sides of the substrate, respectively. The heat dissipation module includes a first heat conductive component and a second heat conductive component disposed on the substrate. The first heat conductive component is spatially spaced apart from the second heat conductive component. The first optical communication component is supported on and in thermal contact with the first heat conductive component. The second optical communication component is mounted on the substrate, and the second optical communication component is in thermal contact with the second heat conductive component through the substrate.

Abstract: An optical system includes a cage and an optical transceiver. The optical transceiver is inserted into the cage in a pluggable manner, and includes a housing, a partition component provided on the housing, and a fastening component movably disposed on the housing. The fastening component is detachably fastened with the cage. The partition component is located between the fastening component and the cage to separate at least a part of the fastening component from the cage.

Abstract: The application relates to a capacitance sensing circuit, which samples and holds a reference signal to generate an input reference signal, hereby, an input signal is generated to a sensing circuit. Thereby, the sensing circuit generates an output signal according to the input signal and a sensing signal, for the capacitance sensing.

Abstract: Transfer learning based on prediction determines a similarity between a source base station and a target base station. Importance of parameters is determined and training is adjusted to respect the importance of parameters. A lack of historical data is compensated by selecting a base station as source base station which has a larger amount of historical data.

Abstract: The present disclosure provides a method for treating arthritis by using a stem cell preparation. The stem cell preparation of the present disclosure can effectively delay cartilage degeneration caused by arthritis, and it is confirmed by whole blood analysis and blood biochemical analysis that the stem cell preparation in the form of three-dimensional stem cell spheres provides a safe treatment for arthritis. The present disclosure also provides a method for preparing the stem cell preparation.

Abstract: A light homogenizing element comprising a light incident surface, a light-emitting surface and a plurality of side surfaces is provided. The plurality of side surfaces are connected between the light incident surface and the light-emitting surface, the light-emitting surface is not parallel to the light incident surface, and the light-emitting surface includes a first side and a second side opposite to the first side, and the first side is not parallel to the second side. A projection device using the light homogenizing element is also provided.

Abstract: Systems and methods are provided that enable a general framework for partitioning application-defined jobs in a scalable environment. The general framework decouples partitioning of a job from the other aspects of the job. As a result, the effort required to define the application-defined job is reduced or minimized, as the user is not required to provide a partitioning algorithm. The general framework also facilitates management of masters and servers performing computations within the distributed environment.

Abstract: A bit index explicit replication (BIER) operations, administration, and maintenance (OAM) detection method includes a bit forwarding ingress router (BFIR) obtaining a detection request packet based on a first BIER OAM packet, and sending the detection request packet to at least one bit forwarding egress router BFER. The detection request packet includes a first packet and a first packet header. The first packet is a packet obtained by encapsulating the first BIER OAM packet. The first packet header includes a bit string, and the bit string indicates the at least one bit forwarding egress router BFER that is to be measured.

Abstract: Embodiments of the present invention set forth a method to drive robotic arm to one or more points on an operation pathway. The method includes constructing a three-dimensional model based on a medical image scan of a patient, planning an operation pathway according to the three-dimensional model, retrieving image information of the patient captured by a three-dimensional optical apparatus, selecting a first set of landmark points in the three-dimensional model, selecting a second set of landmark points in the retrieved image information, matching the first set of landmark points with the second set of landmark points, transforming coordinates from a three-dimensional model coordinate system to a three-dimensional optical apparatus coordinate system based on a result of the matching, and driving the robotic arm to the one or more points on the operation pathway in a robotic arm coordinate system.

Abstract: A multiple-lens optical fingerprint reader for reading fingerprints through a display has a spacer; and multiple microlenses with concave and convex surfaces in a microlens array, each microlens of multiple lenses focuses light arriving at that microlens from a finger adjacent the display through the spacer forms an image on associated photosensors on a photosensor array of an image sensor integrated circuit. A method of verifying identity of a user includes illuminating a finger of the user with an OLED display; focusing light from the finger through arrayed microlenses onto a photosensor array, reading the array into overlapping electronic fingerprint images; extracting features from the overlapping fingerprint images or from a stitched fingerprint image, and comparing the features to features of at least one user in a library of features and associated with one or more fingers of one or more authorized users.

Abstract: A server for predicting a future traffic load of a base station is provided. The server may obtain a first prediction model based on traffic data collected from the base station for a first period of time, obtain a second prediction model based on traffic data collected from the same base station for a second period time, and also based on knowledge transferred from the first prediction model. Each of the first prediction model and the second prediction model may include an encoder module, a reconstruction module, and a prediction module which are connected to form two paths, an encoder-reconstruction path and an encoder-prediction path, to preserve more information of historic traffic data.

Abstract: A server may be provided to obtain a load balancing artificial intelligence (AI) model for a plurality of base stations in a communication system. The server may obtain teacher models based on traffic data sets collected from the base stations, respectively; perform a policy rehearsal process including obtaining student models based on knowledge distillation from the teacher models, obtaining an ensemble student model by ensembling the student models, and obtaining a policy model by interacting with the ensemble student mode; provide the policy model to each of the base stations for a policy evaluation of the policy model; and based on a training continue signal being received from at least one of the base stations as a result of the policy evaluation, update the ensemble student model and the policy model by performing the policy rehearsal process on the student models.

Abstract: A server may obtain teacher artificial intelligence (AI) models from source base stations; obtain target traffic data from a target base station; obtain an integrated teacher prediction based on the target traffic data by integrating teacher prediction results of the teacher AI models based on teacher importance weights; obtain a student AI model that is trained to converge a student loss on the target traffic data; update the teacher importance weights to converge a teacher loss between a student prediction of the student AI model on the target traffic data, and the integrated teacher prediction of the teacher AI models on the target traffic data; update the student AI model based on the updated teacher importance weights being applied to the teacher prediction results of the teacher AI models; and predict a communication traffic load of the target base station using the updated student AI model.