Abstract: At least one embodiment of the present disclosure provides a data processing method and apparatus for a processor, a processor, an electronic device and a storage medium, and the processor includes at least one computing core. The data processing method includes: obtaining a configuration space for a target parameter; obtaining a computational time model of the processor, the computational time model is a function of the target parameter and number of computing cores of the processor; traversing the target parameter in the configuration space, and calculating, based on the computational time model, a computational time corresponding to the target parameter that is selected; in response to the target parameter being a k-th parameter with a minimum computational time, determining the target parameter as the k-th parameter; and using the k-th parameter to configure a computational size of each computing core in the at least one computing core.

Abstract: Cognitive determination of whether a message is suitable for sending over a data communications network can include extracting tokens from the message prior to transmitting the message. One or more intended recipients of the message can be determined from the tokens. A machine learning classification model corresponding to the one or more recipients of the message can be selected. The machine learning classification model can be constructed based on tokens extracted from prior messages, which are combined to create a plurality of documents for training the machine learning classification model. The one or more tokens extracted from the message can be classified using the machine learning classification model. An alert message can be generated in response to determining based on the classifying that the message is unsuited for sending.

Abstract: A topic of a message in narrative text form is extracted from the message. The message and the topic are stored in a message repository. The message is produced from the message repository responsive to a search by an authorized user for messages relating to the topic.

Abstract: A method for quantifying and assessing a scheduling risk considering source load fluctuation and rescheduling, and an apparatus for quantifying and assessing a scheduling risk considering source load fluctuation and rescheduling are provided. The method includes establishing a scene set considering a new energy disturbance; establishing and solving a rescheduling optimization model considering the new energy disturbance in each scene based on a preset scheduling plan according to the scene set, so as to obtain a solving result of the rescheduling optimization model; and calculating a risk quantifying and assessing result corresponding to the preset scheduling plan according to the solving result of the rescheduling optimization model.

Abstract: Provided is a pharmaceutical composition including an active pharmaceutical ingredient, a toll-like receptor (TLR) agonist, a stimulator of interferon genes (STING) agonist, and a pharmaceutically acceptable carrier. Also provided are a method for inducing immune response and a method for treating or preventing cancer or an infectious disease, including administering an effective amount of the pharmaceutical composition to a subject in need thereof.

Abstract: The present invention discloses a combinational therapy for enhancing efficacy of immune checkpoint blockade for tumors with immune suppressive microenvironment. More specifically, this combination therapy involves the treatment of cancer through immune checkpoint inhibitors and CpG-oligodeoxynucleotides.

Abstract: Cognitive determination of whether a message is suitable for sending over a data communications network can include extracting tokens from the message prior to transmitting the message. One or more intended recipients of the message can be determined from the tokens. A machine learning classification model corresponding to the one or more recipients of the message can be selected. The machine learning classification model can be constructed based on tokens extracted from prior messages, which are combined to create a plurality of documents for training the machine learning classification model. The one or more tokens extracted from the message can be classified using the machine learning classification model. An alert message can be generated in response to determining based on the classifying that the message is unsuited for sending.

Abstract: Cognitive determination of whether a message is suitable for sending over a data communications network can include extracting tokens from the message prior to transmitting the message. One or more intended recipients of the message can be determined from the tokens. A machine learning classification model corresponding to the one or more recipients of the message can be selected. The machine learning classification model can be constructed based on tokens extracted from prior messages, which are combined to create a plurality of documents for training the machine learning classification model. The one or more tokens extracted from the message can be classified using the machine learning classification model. An alert message can be generated in response to determining based on the classifying that the message is unsuited for sending.

Abstract: Edge device task management by receiving an indicator corresponding to a first container running a task on a first edge device of a cluster of edge devices, wherein the indicator indicates an error status of the first container, and wherein task data of the task is stored in a first local storage of the first edge device, selecting a second edge device from the cluster of edge devices, wherein a second container on the second edge device is to run the task, instructing the first and second edge devices to transfer the task data from the first local storage of the first edge device to a second local storage of the second edge device, and in response to receiving a notification that indicates the task data has been transferred from the first local storage to the second local storage, sending the task to the second container.

Abstract: A DNA movable type storage system and method based on movable type printing including: (1) construct a physical DNA movable type library of data payloads and a physical DNA movable type library of indexes based on “DNA movable type codebook”, which consist of a variety of DNA oligonucleotides corresponding to all “DNA payload movable type elements” and “DNA index movable type elements” in the two libraries, respectively; (2) transcode from the storage binary data into corresponding “DNA movable type units”, each of which contains corresponding DNA payload movable type elements and related DNA index movable type elements; (3) link the abovementioned DNA payload and index movable type elements to form a physical “DNA movable type unit”, and put all generated DNA movable type units together for DNA storage, which cover all data information of the target file.

Abstract: Providing cognitive responses with an electronic message system includes predicting an urgency level corresponding to an electronic message received by the system based on detecting pre-defined features within the message and assigning a classification to the message based on the detected features. The message and corresponding urgency level can be mapped to a response action based on the classification assigned to the message. A notification of the response action and corresponding urgency level can be generated.

Abstract: The present invention discloses a combinational therapy for enhancing efficacy of immune checkpoint blockade for tumors with immune suppressive microenvironment. More specifically, this combination therapy involves the treatment of cancer through immune checkpoint inhibitors and CpG-oligodeoxynucleotides.

Abstract: Embodiments generally enable a mobile device to display a window of a remote desktop on a mobile device with a native layout. In some embodiments, a method includes receiving a remote desktop display request from a mobile client device, wherein the remote desktop display request includes display information of the mobile client device. The method further includes generating a copy of a window process of a remote desktop computer. The method further includes generating a virtual display based at least in part on the copy of the window process of the remote desktop computer and on the display information of the mobile client device. The method further includes sending virtual display information to the mobile client device based at least in part on the virtual display.

Abstract: Edge device task management by receiving an indicator corresponding to a first container running a task on a first edge device of a cluster of edge devices, wherein the indicator indicates an error status of the first container, and wherein task data of the task is stored in a first local storage of the first edge device, selecting a second edge device from the cluster of edge devices, wherein a second container on the second edge device is to run the task, instructing the first and second edge devices to transfer the task data from the first local storage of the first edge device to a second local storage of the second edge device, and in response to receiving a notification that indicates the task data has been transferred from the first local storage to the second local storage, sending the task to the second container.

Abstract: A method of transmitting data is provided. The method of transmitting data includes transmitting, to a user equipment (UE), information on frequency domain resources of at least one subband on which carrier sensing is to be performed, performing carrier sensing on the at least one subband, and allocating idle resources within one or more subbands to the UE, and transmitting to the UE control information indicating the resources allocated to the UE. The disclosure also provides a method of transmitting a HARQ-ACK, a method of transmitting an OFDM symbol, a base station, a UE, and a computer readable medium.

Abstract: This disclosure relates to a method, system, and computer program product for accessing remote desktop applications. In one implementation, a computer-implement method is provided. According to the method, a split view of a window of an application running on a host device is determined at the host device, wherein the split view comprises a plurality of sub-windows, and each of the sub-windows provides a view of a portion of the window. Information about the sub-windows is sent to a client device in communication with the host device. Frame buffer data of at least one of the sub-windows is transmitted to the client device in response to receiving a selection of the at least one sub-window from the client device.

Abstract: Cognitive determination of whether a message is suitable for sending over a data communications network can include extracting tokens from the message prior to transmitting the message. One or more intended recipients of the message can be determined from the tokens. A machine learning classification model corresponding to the one or more recipients of the message can be selected. The machine learning classification model can be constructed based on tokens extracted from prior messages, which are combined to create a plurality of documents for training the machine learning classification model. The one or more tokens extracted from the message can be classified using the machine learning classification model. An alert message can be generated in response to determining based on the classifying that the message is unsuited for sending.

Abstract: It is disclosed a computer-implemented method, a computing system, and a computer program product for service rolling-updating at a node in a container orchestrator system. In the method, in response to an instruction to update a service deployed on a first pod of a plurality of pods, a second pod is created at the node. The service is deployed on each of the plurality of pods at the node. A rule indicating that a set of requests for the service deployed on the first pod are to be routed to the second pod is generated. The first pod is deleted from the node. The set of requests are routed to the second pod according to the rule.

Abstract: Providing cognitive responses with an electronic message system includes predicting an urgency level corresponding to an electronic message received by the system based on detecting pre-defined features within the message and assigning a classification to the message based on the detected features. The message and corresponding urgency level can be mapped to a response action based on the classification assigned to the message. A notification of the response action and corresponding urgency level can be generated.