Abstract: The present invention relates to a nucleoside analog represented by the following formula and a use thereof. Specifically, the present invention relates to a nucleoside analog represented by the following formula or a pharmaceutically acceptable salt thereof, and a pharmaceutical composition thereof, and a use thereof in preparation of (a) an inhibitor for inhibiting replication of coronaviruses, paramyxoviruses, influenza viruses, flaviviruses, filoviruses, bunya viruses and/or arenaviruses, and/or (b) a medicine for treating and/or preventing or alleviating a disease caused by infection of coronaviruses, paramyxoviruses, influenza viruses, flaviviruses, filoviruses, bunya viruses and/or arenaviruses.

Abstract: The techniques described herein use an edge device to manage the security for a data stream being ingested by a tenant and a cloud platform. The creation of the data stream for ingestion occurs in an environment that is trusted by a tenant (e.g., an on-premises enterprise network). The cloud platform that is part of the data stream ingestion process is outside this trusted environment, and thus, the tenant loses an element of security when ingesting data streams for cloud storage and/or cloud processing. Accordingly, the edge device is configured on a trust boundary so that the data stream ingestion process associated with a cloud platform is secured, or trusted by the tenant. The edge device is configured to encrypt the data stream using a data encryption key and/or manage the protection of the data encryption key.

Abstract: The present invention relates to an antiviral application of nucleoside analogs. Specifically, the present invention relates to uses of nucleoside analogs and a pharmaceutical composition thereof as: (a) inhibitors for inhibiting the replication of coronaviruses, influenza viruses, respiratory syncytial viruses, flaviviridae viruses, filoviridae viruses and/or porcine epidemic diarrhea virus (PEDV); and/or (b) medicines for treating and/or preventing and mitigating diseases caused by coronavirus, influenza virus, respiratory syncytial virus, flaviviridae virus, filoviridae virus and/or porcine epidemic diarrhea virus (PEDV) infections. The nucleoside analogs according to the invention may treat and/or prevent and mitigate respiratory infection, pneumonia (COVID-19) and other related diseases caused by 2019 novel coronavirus infection.

Abstract: A method for reducing odor in remediation of pesticide chemical contaminated soil comprises preparing odor control sustained-release particles and evenly covering on the surface of the pesticide chemical contaminated soil according to a certain dosage; preparing odor covering base materials and mixed bacterial solution, and preparing the odor covering soil by mixing the odor covering base materials and mixed bacterial solution in proportion, and then covering the odor covering soil on the surface of the pesticide chemical contaminated soil; and inserting heating rods into the pesticide chemical contaminated soil, and heating the surface layer of the pesticide chemical contaminated soil to 30-40° C.

Abstract: This document relates to performing live video stream analytics on edge devices. One example determines resources available to the system, and a video analytics configuration is selected that distributes work between edge devices and cloud devices in a cascading manner, where edge device processing is prioritized over cloud processing in order to conserve resources. This example can dynamically modify the allocation of processing depending on changing conditions, such as network availability.

Abstract: An access control system is disclosed for controlling access to a resource. A request is received by a location attribute policy (LAP) server to access an encrypted resource. The LAP server accesses a resource policy that identifies requirements for granting access to the encrypted resource, such as a list of attributes of the requestor that are required and a dynamic attribute requirement of the requestor. The LAP server receives a cryptographic proof from the computing device that the requestor possesses the attributes and validates the proof based at least on information obtained from a trusted ledger. Once the proof is validated, the LAP server provides a shared secret associated with the dynamic attribute requirement to a decryption algorithm. The decryption algorithm uses the dynamic attribute shared secret in combination with one or more attribute shared secrets from the requestor to generate a decryption key for the encrypted resource.

Abstract: The present invention relates to a molecular marker, a specific primer pair, and an identification method of the high-quality Ganoderma lucidum strain HMGIM-M624. The high-quality Ganoderma lucidum strain HMGIM-M624 was preserved in Guangdong Microbial Culture Collection Center (address: 5th Floor, No. 59 Building of No. 100 Yard, Mid. Xianlie Road, Guangzhou City) with the preservation number of GDMCC No: 60889 on Nov. 7, 2019. The molecular marker is an InDel molecular marker. The high-quality Ganoderma lucidum strain HMGIM-M624 has a base deletion of CATGCTGTA at the 246451th-246460th site of the chromosome sca34. The present invention provides reagents for detecting the molecular marker of the high-quality Ganoderma lucidum strain HMGIM-M624. The reagents can distinguish the high-quality Ganoderma lucidum strain HMGIM-M624 from the other 11 G. lucidum strains for commercial cultivation, thus specifically identifying the high-quality Ganoderma lucidum strain HMGIM-M624.

Abstract: Systems and methods are provided for reusing and retraining an image recognition model for video analytics. The image recognition model is used for inferring a frame of video data that is captured at edge devices. The edge devices periodically or under predetermined conditions transmits a captured frame of video data to perform inferencing. The disclosed technology is directed to select an image recognition model from a model store for reusing or for retraining. A model selector uses a gating network model to determine ranked candidate models for validation. The validation includes iterations of retraining the image recognition model and stopping the iteration when a rate of improving accuracy by retraining becomes smaller than the previous iteration step. Retraining a model includes generating reference data using a teacher model and retraining the model using the reference data. Integrating reuse and retraining of models enables improvement in accuracy and efficiency.

Abstract: The present invention relates to an antiviral application of nucleoside analogs. Specifically, the present invention relates to uses of nucleoside analogs and a pharmaceutical composition thereof as: (a) inhibitors for inhibiting the replication of coronaviruses, influenza viruses, respiratory syncytial viruses, flaviviridae viruses, filoviridae viruses and/or porcine epidemic diarrhea virus (PEDV); and/or (b) medicines for treating and/or preventing and mitigating diseases caused by coronavirus, influenza virus, respiratory syncytial virus, flaviviridae virus, filoviridae virus and/or porcine epidemic diarrhea virus (PEDV) infections. The nucleoside analogs according to the invention may treat and/or prevent and mitigate respiratory infection, pneumonia (COVID-19) and other related diseases caused by 2019 novel coronavirus infection.

Abstract: A precoding weight calculation method and a related apparatus to provide improved communication quality. First channel estimation values and a plurality of second channel estimation values are obtained based on a resource block group. A first equalization coefficient is obtained based on the first channel estimation values. A second equalization coefficient is obtained based on the second channel estimation values. A plurality of first equivalent channel coefficients are obtained based on the first equalization coefficient. A plurality of second equivalent channel coefficients are obtained based on the second equalization coefficient. A first precoding weight and a second precoding weight are obtained based on the plurality of first equivalent channel coefficients and the plurality of second equivalent channel coefficients.

Abstract: An in-situ steam thermal desorption process for remediating pesticide contaminated sites comprises S1, determining a contaminated layer; S2, primary steam injection; S3, secondary steam injection and regulator injection; wherein the regulator comprises the following components in parts by weight: 0.2-0.8 parts by weight of hyper-thermophilic microbial agent, 0.5-0.9 parts by weight of carbamyl phosphate, 2-3 parts by weight of cyclic 2,3-diphosphoglycerate, 3-4 parts by weight of ethylenediamine tetraacetic acid, 15-17 parts by weight of wort, and 5-6 parts by weight of sodium octadecyl sulfate; S4, tertiary steam injection; S5, conservation.

Abstract: An energy-saving in-situ steam thermal desorption process for remediating pesticide contaminated sites comprises S1, determining a contaminated layer; S2, primary steam injection; S3, secondary steam injection and regulator injection; wherein the regulator comprises the following components in parts by weight: 0.2-0.8 parts by weight of hyper-thermophilic microbial agent, 0.5-0.9 parts by weight of carbamyl phosphate, 2-3 parts by weight of cyclic 2,3-diphosphoglycerate, 3-4 parts by weight of ethylenediamine tetraacetic acid, 15-17 parts by weight of wort, and 5-6 parts by weight of sodium octadecyl sulfate; S4, tertiary steam injection; S5, conservation.

Abstract: Provided are aspects relating to methods and computing devices for allocating computing resources and selecting hyperparameter configurations during continuous retraining and operation of a machine learning model. In one example, a computing device configured to be located at a network edge between a local network and a cloud service includes a processor and a memory storing instructions executable by the processor to operate a machine learning model. During a retraining window, a selected portion of a video stream is selected for labeling. At least a portion of a labeled retraining data set is selected for profiling a superset of hyperparameter configurations. For each configuration of the superset of hyperparameter configurations, a profiling test is performed. The profiling test is terminated, and a change in inference accuracy that resulted from the profiling test is extrapolated. Based upon the extrapolated inference accuracies, a set of selected hyperparameter configurations is output.

Abstract: The present disclosure relates to compounds which exhibit activity in the inhibition of platelet aggregation as well as pharmaceutical compositions comprising these compounds and methods of treatment of vascular diseases by administration of these compounds or the pharmaceutical compositions.

Abstract: Systems and methods are provided for reducing stream data according to a data streaming protocol under a multi-access edge computing. In particular, an IoT device, such as a video image sensing device, may capture stream data and generate inference data by applying a machine-learning model trained to infer data based on the captured stream data. The inference data represents the captured stream data in a reduced data size based on performing data analytics on the captured data. The IoT device formats the inference data according to the data streaming protocol. In contrast to video data compression, the data streaming protocol includes instructions for transmitting the reduced volume of inference data through a data analytics pipeline.

Abstract: Flow battery systems are provided, including flowing a liquid electrolyte from a storage tank of a flow battery system to an electrode chamber of the flow battery system, the liquid electrolyte comprising a solvent and a first active ion dissolved in the solvent, wherein the storage tank comprises the liquid electrolyte and a first solid composed of the active ion and an ion of the solvent; inducing an electrochemical reaction in the electrode chamber to convert the first active ion dissolved in the solvent to a second active ion dissolved in the solvent, wherein the first solid dissolves to provide more of the first active ion dissolved in the solvent; flowing the liquid electrolyte comprising the solvent and the second active ion dissolved in the solvent from the electrode chamber back to the storage tank; and precipitating a second solid composed of the second active ion and the ion of the solvent in the storage tank.

Abstract: An integrated multifunctional vacuum cooking machine includes a cooking machine body, a heat conducting container, a vacuum pump set, a heating assembly, a temperature measuring assembly, and a control system. The cooking machine body includes a base and a top cover, a chamber recessed downward is formed in a top surface of the base, and the top cover is configured to open and close the chamber. The heat conducting container is disposed in the chamber, and defines a vacuum cavity with the top cover when the top cover closes the chamber. The vacuum pump set is communicated with the vacuum cavity. The heating assembly is configured to heat the vacuum cavity. The temperature measuring assembly is configured to measure a temperature of food materials. The control system is electrically connected to the vacuum pump set, the heating assembly, and the temperature measuring assembly.

Abstract: The present invention discloses a key joint motion estimation based method for estimating continuous human postures. A motion estimation block matching algorithm is applied to human key joint tracking, so as to obtain continuous human posture results. Meanwhile, the results are continuously corrected by using a deep neural network based human posture estimator. The present invention may estimate the continuous human postures in a video stream, where the human postures are specifically embodied as coordinate positions of human joints in a video frame. Compared with a posture estimation method completely relying on a deep neural network, the posture estimation method provided by the present invention has the advantages of high frame rate, low hardware requirements, and sequential continuity of recognition results; and compared with a posture estimation method completely relying on a motion estimation algorithm, the present invention may correct a cumulative error, to improve the estimation accuracy.