Abstract: Aspects of the subject disclosure may include, for example, a processing system that performs operations including collecting encrypted network traffic flow data from user interaction with an application, deriving a first set of traffic feature vectors from the encrypted network traffic flow data collected, training a machine learning algorithm on the first set of traffic feature vectors to classify each traffic feature vector in the first set of traffic feature vectors as associated with a type of the application or not associated with the type of the application, and classifying whether an encrypted network traffic flow as the type of the application by applying the machine learning algorithm to a traffic feature vector of the encrypted network traffic flow. Other embodiments are disclosed.

Abstract: The present disclosure provides a network off-line model processing method, an artificial intelligence processing device and related products, where the related products include a combined processing device. The combined processing device includes the artificial intelligence processing device, a general-purpose interconnection interface, and other processing devices, where the artificial intelligence processing device interacts with the other processing devices to jointly complete computation designated by users. The embodiments of the present disclosure can accelerate the operation of the network off-line model.

Abstract: Systems and techniques for determining an idle timeout for a cloud computing session are described. An example technique includes determining a first one or more attributes associated with a user of the cloud computing session and determining a second one or more attributes associated with an operation of the cloud computing session. An idle timeout for the cloud computing session is determined, based at least in part on the first one or more attributes and the second one or more attributes. User activity is monitored during the cloud computing session. Upon determining, based on the monitoring, an absence of the activity of the user within a duration of the idle timeout, the cloud computing session is terminated.

Abstract: Novel soluble epoxide hydrolase (sEH) inhibitors are provided, along with methods for their use. The soluble epoxide hydrolase inhibitors are useful in treating and/or preventing sEH-related related diseases, such as Alzheimer's disease and inflammation. Also provided are methods for inhibiting soluble epoxide hydrolase in a cell using the compounds and compositions described herein.

Abstract: The invention “use of biomarker or biomarkers combination in preparing a diagnostic reagent for fulminant myocarditis and a drug for fulminant myocarditis” belongs to the field of disease diagnostic reagents and drugs. The biomarker comprises Siglec-5. The biomarkers combination is further selected from the group consisting of sST2, PAI-1, Siglec-5, CD163, CD40, P-Cadherin, CD14, CTLA4. The invention finds that the levels of the biomarker in plasma of patients with fulminant myocarditis is increased, and proves that the biomarker plays a role in diagnosing fulminant myocarditis and a role as a drug target in relieving and/or improving fulminant myocarditis. The level of the biomarker can be detected to forecast or auxiliary diagnose fulminant myocarditis or estimate prognosis of fulminant myocarditis. Meanwhile, level of the biomarkers is controlled through drugs, more intensified diagnosis and follow-up treatment can be carried out on diseases, and the biomarkers have huge clinical application value.

Abstract: Disclosed are a system and method for detecting a vulnerability of an Internet of Things in Power Systems (IOTIPS) protocol based on fuzz testing. The system includes: a protocol configuration module configured to configure a protocol to be detected and a data frame of the protocol to be detected; a sample generation module configured to: after loading the protocol and the data frame configured by the protocol configuration module, configure a mutation strategy based on the loaded protocol, and generate a test sample based on the configured mutation strategy; and an execution monitoring module configured to transfer the test sample generated by the sample generation module to a device to be detected for testing, perform link management and test execution, store a test result, and generate a detection report.

Abstract: A method of discontinuous reception (DRX) in a wireless transmit receive unit (WTRU) includes the WTRU receiving DRX setting information over a radio resource control (RRC) signal, and the WTRU receiving DRX activation information over medium access control (MAC) signal.

Abstract: Embodiments are disclosed for a method. The method includes determining a correlation list of missing value predictors. The method also includes generating a cluster model having multiple clusters. The cluster model is based on a target value and predictor values. The method further includes determining an imputed value for a missing value of a row of original training data based on a linear regression model for multiple non-missing value predictor values for the clusters.

Abstract: A method for a storage system to process input and output operations. The method includes receiving writes over time to an address at a base virtual volume, storing each of the writes in a physical storage at a new location that is without existing data, tagging each stored write with a different generation number to distinguish between different versions of data written to the address at the base virtual volume, receiving a read of the address at the base virtual volume, and, in response to the read of the address at the base virtual volume, returning one of the stored writes that is tagged with a newer generation number than a remainder of the stored writes.

Abstract: The present invention provides an eco-friendly smart photosensitizer comprising a conjugate of hydroxypropyl methylcellulose and porfimer sodium photosensitizer, and a photo-stem cell therapy product comprising the photosensitizer. The photosensitizer of the present invention can be advantageously used in various fields including anticancer therapy, stem cell therapy, and the like, without side effects.

Abstract: Aspects of the subject disclosure may include, for example, receiving a first plurality of operating parameters associated with a first plurality of communication devices, obtaining a first prediction of a performance of a first communication device included in the first plurality of communication devices that is based on an application of the first plurality of operating parameters to a model, and responsive to a determination that the first prediction of the performance is inadequate in accordance with a first threshold, transmitting a first command to at least one communication device included in the first plurality of communication devices to modify at least one operating parameter of the at least one communication device. Other embodiments are disclosed.

Abstract: A method and system for performing handover in a third generation (3G) long term evolution (LTE) system are disclosed. A source evolved Node-B (eNode-B) makes a handover decision based on measurements and sends a handover request to a target eNode-B. The target eNode-B sends a handover response to the source eNode-B indicating that a handover should commence. The source eNode-B then sends a handover command to a wireless transmit/receive unit (WTRU). The handover command includes at least one of reconfiguration information, information regarding timing adjustment, relative timing difference between the source eNode-B and the target eNode-B, information regarding an initial scheduling procedure at the target eNode-B, and measurement information for the target eNode-B. The WTRU then accesses the target eNode-B and exchanges layer 1/2 signaling to perform downlink synchronization, timing adjustment, and uplink and downlink resource assignment based on information included in the handover command.

Abstract: A method of discontinuous reception (DRX) in a wireless transmit receive unit (WTRU) includes the WTRU receiving DRX setting information over a radio resource control (RRC) signal, and the WTRU receiving DRX activation information over medium access control (MAC) signal.

Abstract: The present disclosure provides a stealth dicing method and apparatus. With the method, the focusing element focuses the laser beam on the surface of material to be diced, and the dynamic-equilibrium plasma channel is formed in the material to be diced by means of self-focusing and defocusing effect of plasma generated by ionizing the material to be diced. The modified layer may be formed in the material to be diced throughout the plasma channel, so as to realize stealth dicing.

Abstract: A method includes obtaining a first plurality of encrypted traffic flows traversing a communication network, performing a first classification, wherein a result of the first classification identifies a traffic type associated with each encrypted traffic flow of the first plurality of encrypted traffic flows, and wherein the first classification is based on a traffic pattern of the each encrypted traffic flow, performing a second classification, wherein a result of the second classification identifies a traffic type associated with each server name indication from which the first plurality of encrypted traffic flows is associated, and wherein the second classification is based on the result of the first classification, and performing a third classification identifying a traffic type associated with each encrypted traffic flow of the first plurality of encrypted traffic flows, wherein the third classification is based on a combination of the results of the first classification and the second classification.

Abstract: The present invention provides use of a Case protein, and a method and a kit for detecting target nucleic acid molecules. The method for detecting target nucleic acid molecules comprises adding a guide RNA, a Cas12a, and a nucleic acid probe into a reaction system containing target nucleic acid molecules to be detected, and detecting it after the reaction is completed.

Abstract: Identifying node importance in a machine learning pipeline is provided. Changes in accuracy of the machine learning pipeline are recorded for each respective node setting change in a randomly generated group of node settings inputted into each corresponding node included in the machine learning pipeline. A regression model is generated to determine a relationship between each respective node setting change in the randomly generated group of node settings inputted into each corresponding node and the changes in the accuracy of the machine learning pipeline. A node of importance is identified in the machine learning pipeline using the regression model based on the relationship between each respective node setting change in the randomly generated group of node settings inputted into each corresponding node and the changes in the accuracy of the machine learning pipeline.

Abstract: An embodiment of the present invention provides a picture processing method in an embedded system. The picture processing method includes: performing a bit setting operation on an input/output register corresponding to a communication GPIO port of a camera module in the embedded system, so as to improve a picture collection speed of the camera module; compressing a collected picture using a preset picture compression algorithm and transmitting the compressed picture to a picture preprocessing unit in the embedded system; and filtering out, by the picture preprocessing unit, a picture background using a preset filtering algorithm to obtain picture features of a target object in the picture. With the picture processing method, requirements for an occupied memory resource are balanced while a picture collection speed and a picture data processing speed are increased.

Abstract: A computer-implemented method includes: obtaining, by a computing device, data from sensors that collect the data in a system during a time, wherein the data is multi-dimensional time series data; creating, by the computing device, matrices based on the data; determining, by the computing device using a first computer-based numerical modeling method, patterns based on the matrices; creating, by the computing device using a second computer-based numerical modeling method, a single time series model based on the patterns; and predicting, by the computing device, a future condition of the system using the time series model with current data of the system.

Abstract: The invention relates to the technical field of filtering equipment, and discloses a dust removal filter cartridge. The dust removal filter cartridge includes a filter material and a filter net arranged in the filter material. A top cover is arranged on a top end of the filter material, and an air outlet is provided in the top cover. A bottom end of the filter material is sealed with a bottom cover. An inner side of the filter material is provided with binding tapes which are adhesively fixed on the filter material. An outer surface of the filter material is an effective filtering surface for dust removal, and the binding tapes are arranged on the inner side of the filter material. During the dust removal process, filtering area of an outer surface of a filter paper increases, and the filtering effect is good.