Abstract: Systems and methods automatically construct a realization of a model from an available set of alternative co-simulation components, where the realization meets one or more objectives, such as fidelity, execution speed, or memory usage, among others. The systems and methods may construct the realization model by setting up and solving a constrained optimization problem, which may select particular ones of the alternative co-simulation components to meet the objectives. The systems and methods may configure the realization, and execute the realized model through co-simulation. The systems and methods may employ and manage different execution engines and/or different solvers to run the realization of the model.

Abstract: A semiconductor package includes a first substrate, a first layer structure, a second layer structure, a first antenna layer and an electronic component. The first antenna layer is formed on at least one of the first layer structure and the second layer structure, wherein the first antenna layer has an upper surface flush with a layer upper surface of the first layer structure or the second layer structure. The electronic component is disposed on a substrate lower surface of the first substrate and exposed from the first substrate. The first layer structure is formed between the first substrate and the second layer structure.

Abstract: Provided are compounds of Formula (I), or pharmaceutically acceptable salts thereof, pharmaceutical compositions comprising these compounds thereof, and use of these compounds in preparing drugs for inhibiting ROCK.

Abstract: A screen projection control method and an electronic device are provided. The screen projection control method includes detecting that a first electronic device and a second electronic device are connected with each other through a physical bus and confirming screen projection reference parameters based on the second electronic device and the physical bus; establishing a network link between the first electronic device and the second electronic device; obtaining multimedia data to-be-outputted by an output unit of the first electronic device; and transmitting the multimedia data to the second electronic device using the network link based on the screen projection reference parameters to allow the second electronic device to output the multimedia data.

Abstract: The disclosed computer-implemented method for producing adjustments to malware-detecting services may include (1) receiving, from a plurality of malware-detecting services executing on a plurality of client computing devices, a respective plurality of probability scores with corresponding model identifiers for an analyzed file and a plurality of respective identifiers describing the malware-detecting services, (2) building a training dataset from at least a portion of the received plurality of probability scores with corresponding model identifiers, and (3) performing a security action including (A) training, with the training dataset, a malware-detecting linear regression ensemble machine learning model that is specific to an identifier in the plurality of identifiers and (B) sending the trained linear regression ensemble machine learning model to one of the plurality of malware-detecting services executing on one of the client computing devices.

Abstract: A semiconductor device includes: at least one conductive feature disposed on a substrate; at least one dielectric layer overlying the substrate, a trench structure extending through the at least one dielectric layer; and a protection layer overlaying the trench structure.

Abstract: The disclosed computer-implemented method for dynamically augmenting machine learning models based on contextual factors associated with execution environments may include (1) generating a base machine learning model and a supplemental set of machine learning models, (2) determining at least one contextual factor associated with an execution environment of a machine learning system that is configured to make predictions regarding a set of input data using at least the base machine learning model, (3) selecting, based on the contextual factor, a continuation set of machine learning models from the supplemental set of machine learning models, and (4) directing the machine learning system to utilize both the base machine learning model and the continuation set of machine learning models when making predictions regarding the set of input data. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: This disclosure provides a method and an apparatus for accessing a solid state disk (SSD). The method is applied to a storage node, the storage node includes a network interface card and an SSD, and the network interface card includes a memory. The network interface card receives a data write request sent by a client, where the data write request includes to-be-written data. The network interface card writes the to-be-written data to the memory of the network interface card, and the SSD obtains the to-be-written data from the memory of the network interface card and writes the to-be-written data to the SSD.

Abstract: An information processing method applied to an electronic device includes monitoring whether the target application is abnormal in response to a target application being started when the electronic device is in a target display mode, and in response to the target application being abnormal, switching a window of the target application from a first window display mode to a second window display mode such that the target application adapts to a target display mode. In the target display mode, the window of the target application is in the first window display mode indicated by the target display mode.

Abstract: A method for accessing a solid state disk and a storage device are provided. The storage device includes a network interface card, a memory, and a solid state disk, the network interface card receives to-be-written data and a write command, where the write command instructs to write the to-be-written data to the solid state disk; the network interface card writes the to-be-written data to the memory, and writes the write command to a submission queue of the solid state disk. Then, the network interface card notifies the solid state disk that there is a to-be-executed command in the submission queue of the solid state disk, where the to-be-executed command is the write command. The solid state disk obtains the to-be-written data from the memory and writes the to-be-written data to a medium of the solid state disk according to the write command.

Abstract: The disclosed computer-implemented method for malware detection using localized machine learning may include (i) generating a global score for a file using a global machine learning model, (ii) generating a localized score for the file using a localized machine learning model, (iii) determining that the file is malware using the global score, the localized score, and the local conviction threshold, and (iv) in response to determining that the file is malware, performing a security action to protect the computing device against malware. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A semiconductor device includes: at least one conductive feature disposed on a substrate; at least one dielectric layer overlying the substrate, a trench structure extending through the at least one dielectric layer; and a protection layer overlaying the trench structure.

Abstract: A semiconductor package includes a first substrate, a first layer structure, a second layer structure, a first antenna layer and an electronic component. The first antenna layer is formed on at least one of the first layer structure and the second layer structure, wherein the first antenna layer has an upper surface flush with a layer upper surface of the first layer structure or the second layer structure. The electronic component is disposed on a substrate lower surface of the first substrate and exposed from the first substrate. The first layer structure is formed between the first substrate and the second layer structure.

Abstract: A terminal control system and method, and a terminal device are provided. The terminal control system includes: a detection chip and at least one terminal key arranged on a side surface of a terminal device. The detection chip is connected to the terminal key. The terminal key is configured to generate an inductive capacitance and an interelectrode capacitance corresponding to an external control instruction, in response to a reception of the external control instruction. The detection chip is configured to detect the inductive capacitance and the interelectrode capacitance; determine inductive capacitance variation corresponding to the inductive capacitance and interelectrode capacitance variation corresponding to the interelectrode capacitance; determine a control type corresponding to the control instruction according to the inductive capacitance variation and the interelectrode capacitance variation, and trigger the terminal device to perform a control operation corresponding to the control type.

Abstract: A field wheat stem tillering number extraction method, including: acquiring field wheat point clouds by means of a LiDAR, and extracting any row of wheat point clouds in a research area; projecting a Y axis to a plane, and retaining an X and Z axis; applying adaptive layering to obtain number of clusters of the wheat row; applying hierarchical clustering analysis to obtain tillering number of each wheat cluster; and further obtaining stem tillering number of the whole wheat row, so as to extract a field wheat stem tillering number. The feasibility of an algorithm is verified by comparing the wheat stem tillering number extracted by means of the method with an actually measured field stem tillering number, and the method realizes rapid, accurate and nondestructive extraction of a large-field crop stem tillering number and provides theoretical basis and technical support for extraction of the field wheat stem tillering number.

Abstract: A model including a first co-simulation component and a second co-simulation component is analyzed. During execution of the model, the first co-simulation component outputs data to the second co-simulation component via a connection. The connection is declared as a continuous-time rate connection for input of the data into the second co-simulation component. Based on analyzing the model, the connection is identified as a discrete-continuous sample time connection based on data being communicated from the first co-simulation component to the second co-simulation component via the connection at a discrete-time rate when the model is executed in a co-simulation manner.

Abstract: The present disclosure relates to the field of swarm intelligence and provides a multi-intelligent-agent cooperated transportation method and system as well as a computer readable storage medium.