Abstract: A method may include receiving, at a wireless station, device capability information associated with a number of user equipment (UE) devices and determining, by the wireless station, uplink and downlink configurations for a number of carriers associated with the wireless station. The method may also include configuring uplink and downlink time slots for each of the carriers based on the determined uplink and downlink configurations and modifying the uplink and downlink configurations for at least some of the carriers over time based on data usage or congestion associated with the at least some of the plurality of carriers.

Abstract: A pause command is sent to a Subscriber Identity Module (SIM) card of a cellular device in response to detecting a cyberattack against the cellular device on the cellular network. To mitigate the cyberattack, the SIM card temporarily disconnects the cellular device from the cellular network for a pause time. The SIM card prohibits the cellular device from connecting to the cellular network during the pause time and automatically allows the cellular device to reconnect to the cellular network after the pause time.

Abstract: A metal mask and an inspecting method thereof are provided. In the method, a metal mask having a first and a second long side, a first and a second short side, and plural pattern regions is provided. Afterwards, based on the pattern regions adjacent to the first and second long sides, a first reference straight line adjacent to the first long side and a second reference straight line adjacent to the second long side are defined. Then, a first maximum offset length between the pattern regions adjacent to first long side and first reference straight line is measured. A second maximum offset length between the pattern regions adjacent to second long side and second reference straight line is measured. When a difference between the first and second maximum offset lengths is less than or equal to 20 ?m, the metal mask is determined to meet an inspecting standard.

Abstract: A machine-learning method for training a decision-making model includes: obtaining a rationale vector group for a rationale included in a labeled natural language text file; assembling an effective vector group for the labeled natural language text file by connecting the rationale vector groups for the rationales using a specific order; and executing a supervised classification algorithm to train the decision-making model using the effective vector group and a target decision for the natural language text file. The decision-making model is trained to be configured to label an unlabeled natural language text file using one of a plurality of potential decisions that serves as a target decision.

Abstract: Techniques described herein may be used to conserver battery power of an Internet of Things (IoT) tracker by increasing the overall amount of time that the IoT tracker is in a battery conservation mode (a sleep mode, a Power Save Mode (PSM), etc.). An IoT tracker may implement a battery conservation policy that may include instructions that cause the IoT tracker to monitor certain conditions, determine when the conditions satisfy a particular trigger, and implement a battery conservation mode in response to those conditions. Examples of such conditions may include (1) the IoT tracker being close to a user device designated to track the location of the IoT tracker, (2) identifying that a current time and day are associated with a pre-selected schedule for disabling tracking services, (3) the IoT tracker being located within a particular geographic area, and more.

Abstract: A method for estimating a risk for a subject suffering from encapsulating peritoneal sclerosis is provided, including measuring an expression level of at least one microRNA from a sample of the subject, and the microRNA is selected from miR-17, miR-100, miR-155, miR-202, miR-422a, and miR-483; comparing the expression level of the microRNA in the sample to that of a same miRNA of a control, when the expression level of miRNA in the sample is lower than that of the control, the subject is estimated having the risk of encapsulating peritoneal sclerosis. A kit for estimating a risk for a subject suffering from encapsulating peritoneal sclerosis is also provided, including at least one agent for identifying the at least one microRNA as above mentioned from the sample of the subject.

Abstract: A photosensitive resin composition for imprinting, a cured article and an optical element are provided. The photosensitive resin composition for imprinting includes a resin (A), an ethylenically unsaturated monomer (B), a photoinitiator (C), a solvent (D), and a hydrophobic oligomer (E). The resin (A) has a weight average molecular weight of 1,000 to 50,000 and has two or more ethylenic polymerizable groups.

Abstract: An illustrative orchestration system is configured to provide, to a user equipment (UE) device communicatively coupled to a federation of compute clusters, cluster selection data for a subset of compute clusters from the federation of compute clusters. The cluster selection data is configured to facilitate the UE device in characterizing the compute clusters of the subset with respect to a service optimization policy. The orchestration system is further configured to receive, from the UE device, an orchestration request indicative of a compute cluster selected by the UE device based on the characterizing of the compute clusters of the subset. The orchestration system is configured to then orchestrate, in response to the orchestration request, fulfillment of a service request to be performed by the selected compute cluster for the UE device. Corresponding methods, systems, and devices are also disclosed.

Abstract: Various embodiments provide a method for free space optical communication performance prediction method. The method includes: in a training stage, collecting a large number of data representing FSOC performance from external data sources and through simulation in five feature categories; dividing the collected data into training datasets and testing datasets to train a prediction model based on a deep neural network (DNN); evaluating a prediction error by a loss function and adjusting weights and biases of hidden layers of the DNN to minimize the prediction error; repeating training the prediction model until the prediction error is smaller than or equal to a pre-set threshold; in an application stage, receiving parameters entered by a user for an application scenario; retrieving and preparing real-time data from the external data sources for the application scenario; and generating near real-time FSOC performance prediction results based on the trained prediction model.

Abstract: The present disclosure provides a high power amplifier (HPA) linearization method, applied to a ground hub which includes a predistorter and a PD controller. The ground hub is arranged in a satellite communication system together with a transmitter and a satellite transponder, and the satellite transponder includes an HPA. The HPA linearization method includes determining an initial correction signal based on a physical model with a plurality of PD parameters to compensate AM-AM and AM-PM characteristics of the HPA; receiving a signal from the satellite transponder; determining a reward function for an action taken by the PD controller; examining an action-value function for actions taken in a preset past period; taking an action to adjust the plurality of PD parameters for the PD to generate an updated correction signal; sending the update correction signal to the transmitter to compensate the AM-AM and AM-PM characteristics of the HPA.

Abstract: The present invention provides an offset calibration circuit used in a signal processing circuit, wherein the offset calibration circuit includes a supply voltage detection circuit and a calibration circuit. The supply voltage detection circuit is configured to detect a level of a supply voltage to generate a detection result, wherein the supply voltage is provided to an output stage in the signal processing circuit. The calibration circuit is configured to calculate a digital compensation value according to the detection result, wherein the digital compensation value is used for a digital processing circuit in the signal processing circuit to perform a DC offset calibration.

Abstract: A black resin composition, a cured film, and a black filter are provided. The black resin composition includes: a black coloring agent (A), an ethylenically-unsaturated monomer (B), a solvent (C), a resin (D), a photoinitiator (E), a UV absorber (F), and a surfactant (G). The resin (D) includes a first resin having a weight-average molecular weight of 2,000 to 20,000. The first resin includes a structural unit having a fluorene ring and two or more ethylenically-polymerizable groups. The UV absorber (F) includes a benzylidene-based derivative.

Abstract: Various embodiments provide a method for free space optical communication performance prediction method. The method includes: in a training stage, collecting a large number of data representing FSOC performance from external data sources and through simulation in five feature categories; dividing the collected data into training datasets and testing datasets to train a prediction model based on a deep neural network (DNN); evaluating a prediction error by a loss function and adjusting weights and biases of hidden layers of the DNN to minimize the prediction error; repeating training the prediction model until the prediction error is smaller than or equal to a pre-set threshold; in an application stage, receiving parameters entered by a user for an application scenario; retrieving and preparing real-time data from the external data sources for the application scenario; and generating near real-time FSOC performance prediction results based on the trained prediction model.

Abstract: A stream management platform may receive a request to provide, via a network, a content stream to an area, wherein the request indicates a requested latency associated with providing the content stream to the area. The stream management platform may determine an entry node of the network that is to receive the content stream from a content source. The stream management platform may identify a plurality of transmission nodes associated with the area. The stream management platform may determine respective latencies associated with multicasting the content stream from the entry node to the plurality of transmission nodes. The stream management platform may determine whether the respective latencies satisfy the requested latency. The stream management platform may perform, based on whether the respective latencies satisfy the requested latency, an action associated with the content stream according to the respective latencies.

Abstract: A method for estimating a risk for a subject suffering from encapsulating peritoneal sclerosis is provided, including measuring an expression level of at least one microRNA from a sample of the subject, and the microRNA is selected from miR-17, miR-100, miR-155, miR-202, miR-422a, and miR-483; comparing the expression level of the microRNA in the sample to that of a same miRNA of a control, when the expression level of miRNA in the sample is lower than that of the control, the subject is estimated having the risk of encapsulating peritoneal sclerosis. A kit for estimating a risk for a subject suffering from encapsulating peritoneal sclerosis is also provided, including at least one agent for identifying the at least one microRNA as above mentioned from the sample of the subject.

Abstract: A first network device may receive a notification over a network; in response to the notification, cause a virtualized operating system (OS) and a hypervisor of the first network device to obtain state units from one or more of first hardware components and virtual components; create a context state transfer package (CSTP) based on the state units; and forward the CSTP from the first network device to a second network device over the network. The second network device may receive the CSTP from the first network device; unpack the CSTP to obtain the state units; and put, at the second network device, second hardware components and virtual components of the second network device in a same state as the first hardware components and virtual components when the state units were obtained at the first network device.

Abstract: A device may include a memory storing instructions and processor configured to execute the instructions to receive a video image stream of a scene. The device may be further configured to perform person detection on the received video image stream to identify a plurality of persons; perform gesture detection on the received video image stream to identify a gesture; select a person from the plurality of persons to associate with the identified gesture; and use the identified gesture to enable the selected person to control an object or area displayed on a video screen associated with the scene.

Abstract: A device may store first data structures that include first data identifying computing resources provided at an edge of a network for a computing environment. The device may store second data structures that include second data identifying aggregations of portions of the first data, and may store a third data structure that includes third data identifying an aggregation of the second data. The device may receive, from a first client device, client data identifying an address and resources associated with the first client device, and may update a first data structure based on the client data. The device may update a second data structure based on updating the first data structure, and may update the third data structure based on updating the second data structure. The device may provide a notification indicating that the first client device has been added as a computing resource for the computing environment.

Abstract: An integrated electric booster braking system with a pedal force compensation function, comprising a booster motor, a first gear, a second gear, a lead screw, a brake master cylinder, a pedal push rod, a master cylinder push rod, a fluid storage tank, a hydraulic control unit and an electric control unit, wherein first gear and second gear are assembled in a housing, first gear is engaged with the second gear, the booster motor is connected with the first gear and drives the first gear to rotate, the first gear drives the second gear to rotate during rotation, the second gear is in threaded connection with the lead screw, the second gear drives the lead screw to move during rotation, the lead screw is of a hollow structure, and the rear end of the lead screw is abutted with the front end of a first piston in the brake master cylinder.

Abstract: A kit for detecting urothelial carcinoma is provided. The kit includes at least one primer or probe for detecting one or more miRNAs, and the one or more miRNAs are selected from the group consisting of miR-19b-1, miR-636, miR-150, miR-155, miR-183, miR-378, miR-210, miR-487, and combinations thereof. A method for detecting urothelial carcinoma is also provided. The method includes detecting the expression level(s) of one or more miRNAs in a sample of a subject, and the one or more miRNAs are selected from the group consisting of miR-19b-1, miR-636, miR-150, miR-155, miR-183, miR-378, miR-210, miR-487, and combinations thereof.