Abstract: A message addressed to a user is received. A first model is applied to the message to produce a first output indicative of whether the message is representative of a non-malicious message. The first model is trained using past messages that have been verified as non-malicious messages. It is determined, based on the first output, that the message is potentially a malicious message. Responsive to determining that the message is potentially a malicious email based on the first output, apply a second model to the message to produce a second output indicative of whether the message is representative of a given type of attack. The second model is one of a plurality of models. At least one model included in the plurality of models is associated with characterizing a goal of the malicious message. An action is performed with respect to the message based on the second output.

Abstract: A multi-channel payment method for a multi-channel payment system comprises the payer or the payee who initiated the payment request logs in to the multi-channel payment system; the payer or the payee who initiated the payment request placing an order in the multi-channel payment system, wherein the order comprises a designated payment gateway; the multi-channel payment system determining a predicted fee of the order according to the designated payment gateway, past order records, and a real-time exchange rate; the multi-channel payment system performing an anti-money laundering verification of the order; the payer reviewing the order and the predicted fee through a multiple auditing method; and the multi-channel payment system executing payment from the payer to the payee according to the order and the designated payment gateway, and storing a payment detail of the order.

Abstract: Conventional email filtering services are not suitable for recognizing sophisticated malicious emails, and therefore may allow sophisticated malicious emails to reach inboxes by mistake. Introduced here are threat detection platforms designed to take an integrative approach to detecting security threats. For example, after receiving input indicative of an approval from an individual to access past email received by employees of an enterprise, a threat detection platform can download past emails to build a machine learning (ML) model that understands the norms of communication with internal contacts (e.g., other employees) and/or external contacts (e.g., vendors). By applying the ML model to incoming email, the threat detection platform can identify security threats in real time in a targeted manner.

Abstract: Introduced here are computer programs and computer-implemented techniques for discovering malicious emails and then remediating the threat posed by those malicious emails in an automated manner. A threat detection platform may monitor a mailbox to which employees of an enterprise are able to forward emails deemed to be suspicious for analysis. This mailbox may be referred to as an “abuse mailbox” or “phishing mailbox.” The threat detection platform can examine emails contained in the abuse mailbox and then determine whether any of those emails represent threats to the security of the enterprise. For example, the threat detection platform may classify each email contained in the abuse mailbox as being malicious or non-malicious. Thereafter, the threat detection platform may determine what remediation actions, if any, are appropriate for addressing the threat posed by those emails determined to be malicious.

Abstract: Disclosed herein are heterocyclic compounds, for example, according to the following formula and analogs thereof: that inhibit the activity of FLT3. Also described are specific covalent inhibitors of FLT3. Also disclosed are pharmaceutical compositions that include the compounds. Methods of using the FLT3 inhibitors are disclosed, alone or in combination with other therapeutic agents, for the treatment of proliferative diseases or conditions, including hematological malignancies and other diseases or conditions dependent on FLT3 activity.

Abstract: A semiconductor device includes a bridge and a first integrated circuit. The bridge is free of active devices and includes a first conductive connector. The first integrated circuit includes a substrate and a second conductive connector disposed in a first dielectric layer over the substrate. The second conductive connector is directly bonded to the first conductive connector. The second conductive connector includes conductive pads and first conductive vias and a second conductive via between the conductive pads. The second conductive via is not overlapped with the first conductive vias while the first conductive vias are overlapped with one another. A vertical distance between the second conductive via and the first conductive connector is larger than a vertical distance between each of the first conductive vias and the first conductive connector, and a sidewall of the first dielectric layer is substantially flush with a sidewall of the substrate.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for accurately, efficiently, and flexibly generating harmonized digital images utilizing a self-supervised image harmonization neural network. In particular, the disclosed systems can implement, and learn parameters for, a self-supervised image harmonization neural network to extract content from one digital image (disentangled from its appearance) and appearance from another from another digital image (disentangled from its content). For example, the disclosed systems can utilize a dual data augmentation method to generate diverse triplets for parameter learning (including input digital images, reference digital images, and pseudo ground truth digital images), via cropping a digital image with perturbations using three-dimensional color lookup tables (“LUTs”).

Abstract: The present disclosure provides a method for manufacturing an auto-crosslinked hyaluronic acid gel, comprising conducting auto-crosslinking reaction of a colloid containing hyaluronic acid continuously at low temperature in an acidic environment, and treating the reaction product with steam at high temperature to obtain the auto-crosslinked hyaluronic acid gel with high viscosity.

Abstract: A chip package structure is provided. The chip package structure includes a chip structure. The chip package structure includes a first ground bump below the chip structure. The chip package structure includes a conductive shielding film disposed over the chip structure and extending onto the first ground bump. The conductive shielding film has a concave upper surface facing the first ground bump.

Abstract: A method for fallback handling is provided. The method for fallback handling includes operating a user equipment in a fifth-generation (5G) radio access technology. The method also includes maintaining second-generation (2G) and third-generation (3G) physical layer components in a warm state. The method further includes maintaining 2G and 3G layer 2 components in an inactive state.

Abstract: Apparatus and methods for performing a Million Instructions per Second (MIPS) analysis for a data stack of a user equipment (UE) are disclosed. The method includes (i) receiving an input for a Monte Carlo simulation, the input including a requirement for one or more use cases, a processor specification, and a user-specified function; (ii) determining a traffic model, a number of packets to be run for each use case, and a seed value for the Monte Carlo simulation; (iii) performing the Monte Carlo simulation based on the input and the traffic model to generate a simulation result; and (iv) determining a recommended configuration of processor cores for the data stack based on the simulation result.

Abstract: Methods for providing a layer-2 data stack solution in a data plane and associated devices are provided. In some embodiments, the method includes (i) determining, among a plurality of data stack solutions that are selectable, which layer-2 data stack solution is selected and (ii) causing, according to the selected layer-2 data stack solution, the layer-2 micro controller to intervene with a data plane hardware module that is configured to implement a specific layer-2 data stack function. Each of the plurality of data stack solutions represents a distinctive intervening configuration of a layer-2 micro controller. The layer-2 micro controller is coupled to a number of data plane hardware modules that are configured to implement different layer-2 data stack functions. The intervening configuration of the layer-2 micro controller is indicative of a level of control of the layer-2 micro controller over the data plane hardware modules.

Abstract: A method includes: receiving, at a first layer of a protocol stack, multiple code blocks from a base station, the multiple code blocks is a portion of a transport block and is associated with an error rate; transmitting, to a second layer of the protocol stack, the multiple code blocks; and determining, at the second layer and based on the error rate, whether to (1) store the multiple code blocks in memory or (2) process the multiple code blocks. A method for saving power in a physical (PHY) layer-to-medium access (MAC) layer interface and a network device, and a system are also provided.

Abstract: An apparatus for data packet processing can include a plurality of microcontrollers configured to perform dedicated layer-two circuit control functions. The plurality of microcontrollers can be configured to concurrently retrieve data from a set of common logical channels. The dedicated layer-two circuit control functions can include logical channel prioritization. The apparatus can also include a data processing layer-two circuit configured to perform data processing on the set of common logical channels based on commands received from the plurality of microcontrollers. The plurality of microcontrollers can be configured to receive uplink grants from a plurality of component carriers, to perform scheduling of the data based on the uplink grants, and to instruct the data processing layer-two circuit to retrieve the data responsive to the uplink grants.

Abstract: Methods for managing a scheduling service includes (i) determining a score for each of multiple service grants from multiple cells based on a scoring function, wherein the scoring function includes one or more radio channel conditions associated with the multiple service grants; (ii) prioritizing the multiple service grants based on the determined scores; and (iii) assigning scheduling opportunities to the multiple service grants based on the determined scores of the multiple grant services from the multiple cells in a geometric decreasing manner. In the geometric decreasing manner, packets of a low priority service grant of the multiple service grants are transmitted once every two packets of a high priority service grant of the multiple service grants.

Abstract: Embodiments of apparatus and method for uplink data plane management are disclosed. In one example, a method for handover continuity can include buffering data packets at a user equipment based on a trigger event. The data packets can be mapped to first quality of service flows and associated with first radio resources at a source network node. The method can also include identifying second quality of service flows associated with second radio resources at a target network node. The method can further include remapping from the first quality of service flows to the second quality of service flows. The method can additionally include transmitting the buffered data packets from the user equipment toward the target node based on the remapping.

Abstract: Embodiments of apparatus and method for data plane management are disclosed. In one example, an apparatus for communication both uplink and downlink can include a plurality of downlink clusters, each downlink cluster including a downlink cluster processor configured to process three or more downlink data layers. The apparatus can also include a plurality of uplink clusters, each uplink cluster including an uplink cluster processor configured to process three or more uplink data layers. The apparatus can further include a controller configured to scale the plurality of downlink clusters and configured to scale the plurality of uplink clusters. Scaling the plurality of downlink clusters and the plurality of uplink clusters can include activating or deactivating one or more clusters of the plurality of downlink clusters, the plurality of uplink clusters, or both the plurality of downlink clusters and the plurality of uplink clusters.

Abstract: An apparatus and method for uplink data transmission scheduling are disclosed. In an example, the method can include obtaining, by at least one processor, a plurality of packets to be transmitted via uplink. The method can also include queueing, by the at least one processor, the plurality of packets according to logical channel prioritization. The method can further include receiving, by the at least one processor, a service grant after the queueing. The method can additionally include trimming, by the at least one processor, the plurality of packets according to a grant size of the service grant.

Abstract: Embodiments of apparatus and method for uplink grant handling are disclosed. In one example, a method for uplink grant handling can include receiving an uplink grant at a user equipment from a network device. The method can also include associating the uplink grant directly with a logical channel group including a plurality of logical channels. The user equipment can be configured to dequeue the logical channel group directly with priority for transmission scheduling. In some embodiments, the method can further include sending, to the network device from the user equipment, a request to associate a list of logical channel groups including the logical channel group. The request to associate can include a request to associate the plurality of logical channels with the logical channel group.

Abstract: Embodiments of apparatus and method for random access are disclosed. In an example, a user equipment can include at least one processor and at least one memory including computer program code. The at least one memory and the computer program code can be configured to, with the at least one processor, cause the user equipment at least to send a trigger message and unique identifier in a first message from the user equipment to a network node. The at least one memory and the computer program code can also be configured to, with the at least one processor, cause the user equipment at least to receive an acknowledgement at the user equipment in a second message from the network node using the user equipment's unique identifier. Contention resolution for the user equipment can be concluded with only the first message and the second message.