Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to detect attacks in V2X networks. An example apparatus includes a challenge handler to (a) transmit a first challenge packet to a first vehicle to request a transmission of a first response, (b) instruct a second challenge packet to be transmitted to a second vehicle to request a transmission of a second response, (c) increment a first counter when the first response is not obtained, (d) increment a second counter when the second response is not obtained, and (e) after repeating (a)-(d), determine that the first and second vehicles are phantom vehicles associated with an attacker with a half-duplex radio when at least one of the first or second counters satisfy a threshold, and a network interface to instruct a third vehicle associated with the V2X network to ignore future messages from the phantom vehicles based on the determination.

Abstract: System and method for robust sensorless control of permanent magnet assisted synchronous reluctance (PM-SyR) motor. The system and method includes startup control of a motor with known rotor position/speed, but unknown rotor magnetic polarity of a motor exhibiting rotor magnetic anisotropy or saliency. The system and method includes a rotor characteristic detection method for a PM-SyR motor that detects rotor magnetic polarity based on the variation of the inductance that is caused by the leakage flux paths in the rotor barrier bridges and utilizes the detected rotor magnetic polarity for improved motor startup.

Abstract: The present disclosure provides a mummy bag with a baby cot, comprises a mummy bag and a baby cot, the mummy bag comprise a bag part and a first zipper, the baby cot comprises a mesh bag, a cot part and a pull rod, the cot part is arranged at the lower end of the bag part's inner space. The first zipper is opened, the space of the bag part is opened, the mesh bag and the cot part are unfolded, and the mesh bag is convenient for ventilation, thus ensuring the comfort of the child's sleep, and the shielding net in the pull rod is pulled out to cover the top of the mesh bag. When the baby sleeps irregularly, unfold the cot part, which can be used for babies to sleep, effectively improve the problem that the existing mummy bags are inconvenient to provide sleeping space for babies.

Abstract: Systems and method for determining variants can receive mapped reads, and call variants. In embodiments, flow space information for the reads can be aligned to a flow space representation of a corresponding portion of the reference. Reads spanning a position with a potential variant can be grouped and a score can be calculated for the variant. Based on the scores, a list of probable variants can be provided. In various embodiments, low frequency variants can be identified where multiple potential variants are present at a position.

Abstract: Examples for device-driven auto-recovery using multiple recovery sources are disclosed herein. At least one storage device or storage disk includes instructions that, when executed, cause at least one processor to at least detect a flaw in a first configuration of a program to be installed on a programmable device, the first configuration recorded on a first chain of a distributed ledger of a blockchain; correct the flaw in the first configuration to generate a corrected configuration; commit the corrected configuration to the distributed ledger, the corrected configuration to create a second chain of the distributed ledger; detect an update of the first configuration to a first updated configuration and an update to the corrected configuration to an updated corrected configuration; and prevent the first updated configuration from being installed on the programmable device by replacing the first updated configuration with the updated corrected configuration on the second chain.

Abstract: Techniques for performing visual clustering with a hierarchical graph neural network framework including a joint linkage prediction and density estimation graph model are described. Embodiments herein recurrently run the joint linkage prediction and density estimation graph model to generate intermediate clusters in multiple iterations (e.g., until convergence) to obtain a final clustering result. In certain embodiments, for each iteration, the input graph contains nodes that are merged from nodes assigned to intermediate clusters from the previous iteration. By using a small and fixed bandwidth k in each iteration, embodiments herein alleviate the sensitivity to the k selection for different clustering applications. Certain embodiments herein remove the tuning of a different k (e.g., k-bandwidth) for k-nearest neighbor graph construction over different clustering applications.

Abstract: A computer-implemented method for classifying alignments of paired nucleic acid sequence reads is disclosed. A plurality of paired nucleic acid sequence reads is received, wherein each read is comprised of a first tag and a second tag separated by an insert region. Potential alignments for the first and second tags of each read to a reference sequence is determined, wherein the potential alignments satisfies a minimum threshold mismatch constraint. Potential paired alignments of the first and second tags of each read are identified, wherein a distance between the first and second tags of each potential paired alignment is within an estimated insert size range. An alignment score is calculated for each potential paired alignment based on a distance between the first and second tags and a total number of mismatches for each tag.

Abstract: A method may include obtaining a first acquisition time period related to a scan of a first modality performed on an object. The method may also include obtaining one or more second acquisition time periods related to a scan of a second modality performed on the object. The method may also include obtaining, based on the first acquisition time period and the one or more second acquisition time periods, target data of the object acquired in the scan of the first modality. The method may also include generating one or more target images of the object based on the target data.

Abstract: An information handling system may include at least one processor; a network interface; and a physical storage resource including a flash translation layer (FTL) operable to provide a mapping between logical storage addresses and physical storage addresses. The information handling system may be configured to: receive a request for a snapshot; for used portions of the physical storage resource, change a metadata identifier from a used status to a snapshot status; prevent deletion of those portions associated with the snapshot status; and transmit, via the network interface, information associated with the portions that are associated with the snapshot status.

Abstract: Disclosed methods provision a host with a pair of proxy resources. A first proxy resource may be configured to forward traffic from an in-band management interface of the host to a link-local interface of a BMC or the like. The second proxy resource is configured to forward traffic received via a link-local interface of the host to a management network interface of a cluster manager. Upon receiving an event subscription message from the cluster manager via the in-band management interface of the host, the event subscription message is forwarded by the first proxy to the link-local interface of the BMC to register a link-local interface of the host as a subscriber for one or more events. Responsive to receiving an event notification from the BMC via the link-local interface of the host, the event notification is automatically forwarded to the management network interface of the cluster manager.

Abstract: Embodiments of the present disclosure provide a method and apparatus for processing a message header, a storage medium, and an electronic apparatus.

Abstract: Nucleic acid sequence mapping/assembly methods are disclosed. The methods initially map only a contiguous portion of each read to a reference sequence and then extends the mapping of the read at both ends of the mapped contiguous portion until the entire read is mapped (aligned). In various embodiments, a mapping score can be calculated for the read alignment using a scoring function, score (i, j)=M+mx, where M can be the number of matches in the extended alignment, x can be the number of mismatches in the alignment, and m can be a negative penalty for each mismatch. The mapping score can be utilized to rank or choose the best alignment for each read.

Abstract: This invention provides antibacterial and antiviral compositions and methods. The compositions possess prolonged and powerful antibacterial/antiviral functions under light exposure and even under completely dark conditions, while daylight exposures could recharge the functions repeatedly. In some embodiments, compositions of the invention can be employed in personal protective equipment (PPE) such as face masks, biologically self-cleaning air and water filters, medical devices, and products. The biocidal PPE can prevent transmission of infectious diseases such as Ebola and respiratory viruses. In some embodiments, compositions of the invention can be employed in food protectant materials to provide antimicrobial and antiviral bio-protection during food transportation and storage.

Abstract: Provided in the embodiments of the present disclosure are a data processing method and apparatus, a storage medium, and an electronic apparatus. The data processing method includes: receiving a multicast packet requiring Service Function Chaining (SFC) processing; encapsulating the multicast packet to obtain a target packet after encapsulation, wherein the target packet comprises an SFC path indication and an egress device-based Bit Indexed Explicit Replication (BIER) header; and sending the target packet to at least one Service Function Forwarder (SFF) according to the SFC path indication, wherein a last-hop SFF is used for sending the multicast packet to at least one egress device according to the egress device-based BIER header, so that the target packet reaches the egress device.

Abstract: A method comprises generating a first set of hardware performance counter (HPC) events that is ranked based on an ability of an individual HPC event to profile a malware class, generating a second set of HPC event combinations that is ranked based on an ability of a set of at least two joint HPC events to profile a malware class, generating a third set of extended HPC event combinations, profiling one or more malware events and one or more benign applications to obtain a detection accuracy parameter for each malware event, applying a machine learning model to rank the third set of HPC event combinations based on malware detection accuracy, and applying a genetic algorithm to the third set of HPC event combinations to identify a subset of the third set of extended combinations of HPC events to be used for malware detection and classification.

Abstract: Disclosed are systems d methods for optimizing resource utilization by generating resource initialization data that is customized to particular users. The initialization data is customized and optimized based on user evaluation data that includes information about user attributes, functions, and user computing devices. The systems and methods utilize artificial intelligence (“AI”) systems to process data received from user devices, such as Internet navigation data, device configuration data, and user account data associated with users that have been authenticated. The AI systems process the user evaluation data to classify users by determining the probabilities that the users match predefined classifications. For users that meet predefined classifications, the AI systems determine probabilities that users will accept customized resource initialization parameters.

Abstract: Disclosed are systems and methods for optimizing resource utilization by generating resource initialization data that is customized to particular users. The initialization data is customized and optimized based on user evaluation data that includes information about user attributes, functions, and user computing devices. The systems and methods utilize artificial intelligence (“AI”) systems to process data received from user devices, such as Internet navigation data, device configuration data, and user account data associated with users that have been authenticated. The AI systems process the user evaluation data to classify users by determining the probabilities that the users match predefined classifications. For users that meet predefined classifications, the AI systems determine probabilities that users will accept customized resource initialization parameters.

Abstract: The present disclosure directs to a system and method for automated positioning of a subject. The method may include obtaining a scout image of a subject when the subject is positioned at a first position in an apparatus. The method may also include determining location information of a reference structure of the subject based on the scout image. The method may also include determining an offset between the first position of the subject relative to a characteristic point of the apparatus according to the location information of the reference structure. The method may further include moving the subject to a second position based on the offset. The method may still further include performing, using the apparatus, a procedure relating to a target structure of the subject located at the second position.

Abstract: Systems and methods for determining a target area relating to a subject situated on a table of a medical system are provided. The medical system may include a first device of a first modality and a second device of a second modality. In some embodiments, the system may: identify a second target area relating to the subject for performing a second operation using the second device; determine, based on the second target area, an initial target area relating to the subject for performing a first operation using the first device; and determine a first target area relating to the subject for performing the first operation using the first device by adjusting the initial target area.

Abstract: A pea-derived peptide with a muscle-building effect and a preparation method thereof, and a drug and use, are disclosed. A pea protein is subjected to enzymatic hydrolysis, and five polypeptides with muscle-building effect are obtained by separation as separate peptide fragments. In an in vitro aging skeletal muscle cell assay, changes are analyzed in a gene expression level of regulatory pathways related to skeletal muscle cell proliferation and differentiation, apoptosis and autophagy, and protein synthesis and degradation. In addition, animal experiments are conducted to study the muscle-building effect and a corresponding mechanism of the pea-derived peptide. This shows that the five polypeptide sequences have a significant muscle-building effect, usable as a polypeptide drug for the treatment of sarcopenia.