Abstract: A method for detecting information breach in a computer system. The method comprises: detecting a radio frequency signal in an area of the computer system. A set of samples of the radio frequency signal may be input to a machine learning model. An output of the machine learning model may be received. The output indicates whether the detected radio frequency signal is anomalous. An alarm signal may be generated in case the detected radio frequency signal is predicted as an anomalous signal.

Abstract: The present disclosure relates to a method for detecting a mutation in a microsatellite sequence locus of a target fragment from a DNA sample, comprising a step of subjecting said DNA sample to a digital polymerase chain reaction (PCR) in the presence of a PCR solution comprising: a pair of primers suitable for amplifying said target fragment of the DNA sample including said microsatellite sequence; a first MS oligonucleotide (MS) hydrolysis probe, labeled with a first fluorophore, wherein said first MS oligonucleotide probe is complementary to a wild-type sequence including the microsatellite sequence; a second oligonucleotide reference (REF) hydrolysis probe, labeled with a second fluorophore, wherein said second oligonucleotide REF probe is complementary to a wild-type sequence of said target DNA fragment which does not include said microsatellite sequence.

Abstract: A computer-implemented method for validating ownership of a digital asset is disclosed. The computer-implemented method includes transmitting a public key for encrypting a digital asset to an owner of the digital asset responsive to receiving a request for the public key. The computer-implemented method further includes receiving from the owner of the digital asset, an encrypted digital asset and a first liveness hash, wherein the digital asset is encrypted using the public key, and the first liveness hash is generated based, at least in part, on the digital asset in an unencrypted form and a first nonce. The computer-implemented method further includes determining whether the first liveness hash is valid. The computer-implemented method further includes generating in response to determining that the first liveness hash is valid, a digital asset record, wherein the digital asset record includes the encrypted digital asset and the first liveness hash.

Abstract: Migration of smart contracts across blockchain ledgers is described herein. Different decentralized ledgers are first cross-compiled. A verifiable smart contract is employed that will adhere to the rules of the ledger being targeted from the decentralized ledgers, and each of the smart contracts can be modeled as a state machine. Each of the smart contracts can be verified for correctness. At least one smart contracts that completes the verification process is installed across the different decentralized ledgers. At least one smart contract is approved with a verification process for confirming equivalency to deploy across the decentralized ledgers. The smart contracts are deployed across the decentralized ledgers.

Abstract: The present invention relates to a method for identifying a cancer patient presenting microsatellite unstable tumor who is likely to benefit from immunotherapy comprising detecting a mutation within a microsatellite sequence by subjecting said sample to a digital polymerase chain reaction. The present invention also encompasses an immune checkpoint inhibitor for use in the treatment of a cancer in a patient who is previously identified as likely benefit from an immunotherapy and a method for evaluating the therapeutic response of an immune checkpoint inhibitor in a patient having a cancer.

Abstract: In a particular embodiment, improving reliability, availability, and safety in a system using in-connector thermal monitoring includes identifying an expected installation of connections among devices in a system. Temperature data collected by one or more thermal sensors of one or more connectors in the system is received by a connection monitoring module. The connection monitoring module determines, based on the expected installation and the temperature data, whether a fault is present in one or more connections of the system.

Abstract: Migration of smart contracts across blockchain ledgers is described herein. Different decentralized ledgers are first cross-compiled. A verifiable smart contract is employed that will adhere to the rules of the ledger being targeted from the decentralized ledgers, and each of the smart contracts can be modeled as a state machine. Each of the smart contracts can be verified for correctness. At least one smart contracts that completes the verification process is installed across the different decentralized ledgers. At least one smart contract is approved with a verification process for confirming equivalency to deploy across the decentralized ledgers. The smart contracts are deployed across the decentralized ledgers.

Abstract: Provided herein is a method for detecting a tumour that can be applied to cell-free samples, e.g., to cell-free detect circulating tumour DNA. The method utilizes detection of adjacent methylation signals within a single sequencing read as the basic positive tumour signal, thereby decreasing false positives. The method comprises extracting DNA from a cell-free sample obtained from a subject, bisulphite converting the DNA, amplifying regions methylated in cancer (e.g., CpG islands, CpG shores, and/or CpG shelves), generating sequencing reads, and detecting tumour signals. To increase sensitivity, biased primers designed based on bisulphite converted methylated sequences can be used. Target methylated regions can be selected from a pre-validated set according to the specific aim of the test. Absolute number, proportion, and/or distribution of tumour signals may be used for tumour detection or classification. The method is also useful in, e.g.

Abstract: A computer-implemented method, a computer system and a computer program product verify electrical power distribution system suitability. The method includes obtaining power consumption characteristics from a computer server. The method also includes generating a test power load based on the power consumption characteristics. The method further includes identifying a power source and applying the test power load to the power source. In addition, the method includes determining a connection suitability for the power source based on a response of the power source to the test power load. Lastly, the method includes displaying the connection suitability for the power source on a device.

Abstract: Described are techniques for electrical grid origination determination using Power Line Disturbance (PLD) characteristics. The techniques include detecting a first PLD in a first voltage feed of a first power unit at a first time. The techniques further include comparing the first PLD to other PLDs aggregated from multiple power units. The techniques further include determining that the first voltage feed of the first power unit originates from a same source as a second power unit based on a similarity between the first PLD and a second PLD of the second power unit satisfying a similarity threshold and occurring within a same timeframe proximate to the first time. The techniques further include recording that the first power unit and the second power unit receive power from a same source.

Abstract: A signal-analysis-based process for detecting and correcting power feeds is provided. The process includes obtaining voltage waveform data for power feeds connected to a system, and determining for the power feeds, using the obtained voltage waveform data, at least one respective signal characteristic. Further, the process includes comparing the respective signal characteristics of the power feeds to ascertain at least one signal characteristic difference between the power feeds. Based on the at least one signal characteristic difference not exceeding at least one respective difference limit, the process determines that the power feeds are not separately-sourced redundant power feeds connected to the system, and based on determining that the power feeds are not separately-sourced redundant power feeds, the process initiates a corrective action to ensure that the system is connected to separately-sourced redundant power feeds.

Abstract: A technique for determining an electrical grid power source using a power line signal which includes electronic communication using a power line between a host device and power supply units (PSUs) on an electrical power grid. The host device can designate a PSU as a signal generator and designate remaining PSUs as signal receivers. The host device generates a signal onto the power line used by the PSUs. The signal is detected at each of the receivers on the power line. A response by one of the receivers to the host device, is in response to the detection of the signal at the receiver. An electronic communication device receives communication from the host device that the signal is detected by the receiver.

Abstract: A method can include obtaining device data for a set of electronic devices. The device data can indicate power utilized by the set of electronic devices. The method can include obtaining a capacity of a backup power source. The method can include obtaining priority data regarding an allocation of power to the set of electronic devices. The method can include obtaining a set of environmental conditions. The method can include calculating, based at least in part on the set of environmental conditions and the device data, a projected electrical load on the backup power source. The method can include determining that one or more thresholds are exceeded. The determining can comprise identifying that the projected electrical load exceeds the capacity. The method can include modifying, in response to the determining and according to the priority data, power supplied to the set of electronic devices from the backup power source.

Abstract: The present disclosure provides transmembrane chimeric proteins derived from transposable element (TE)-exon fusion transcripts, as well as nucleic acids, antibodies, CARs, non-HLA restricted TCR and immune cells targeting such chimeric proteins that can be used in cancer therapy.

Abstract: A method for detecting information breach in a computer system. The method comprises: detecting a radio frequency signal in an area of the computer system. A set of samples of the radio frequency signal may be input to a machine learning model. An output of the machine learning model may be received. The output indicates whether the detected radio frequency signal is anomalous. An alarm signal may be generated in case the detected radio frequency signal is predicted as an anomalous signal.

Abstract: Described is a method for managing a trackable solar panel assembly and a variable reflective surface. The method can receive solar farm characteristics and location characteristics for the solar farm. The method can also receive solar panel assembly characteristics for a solar panel assembly and variable reflective surface characteristics for a variable reflective surface. The method can optimize control parameters for the solar panel assembly and the variable reflective surface, based on the solar farm characteristics, the location characteristics, the solar panel assembly characteristics, and the variable reflective surface characteristics. The method can adjust the variable reflective surface based on the control parameters.

Abstract: Provided are techniques for model generation for determining optimal components of a storage subsystem based on measurements and models. Data for a storage subsystem having a plurality of components is collected, where the data comprises data for application resources, data for workload measurements, metadata, tags, and policies, and wherein the data comprises volume specific characteristics and storage functions. A plurality of models are generated based on the collected data, where each of the models includes a subset of the plurality of components of the storage subsystem. Characteristics for a new storage subsystem are received. The characteristics are matched to a model of the plurality of models. A recommendation of components of the matching model is created to create the new storage subsystem.

Abstract: The present disclosure relates to a method for selecting a tumor neoantigenic peptide wherein said method comprises: a step of identifying, among mRNA sequences from cancer cells of a subject, a fusion transcript sequence comprising a transposable element (TE) sequence and an exonic sequence, and including an open reading frame (ORF), and a step of selecting a tumor neoantigenic peptide of at least 8 amino acids, encoded by a part of said ORF of the fusion transcript sequence, wherein said ORF overlaps the junction between the TE and the exonic sequence, is pure TE and/or is non-canonical, and wherein said tumor neoantigenic peptide binds to at least one Major Histocompatibility Complex (MHC) molecule of said subject. The present disclosure also relates to tumor neoantigenic peptide obtained according to the present method, vaccine or immunogenic composition, antibodies and immune cells derived thereof and their use in therapy of cancer.

Abstract: The present disclosure relates to a method for selecting a tumor neoantigenic peptide wherein said method comprises: a step of identifying, among mRNA sequences from cancer cells of a subject, a fusion transcript sequence comprising a transposable element (TE) sequence and an exonic sequence, and including an open reading frame (ORF), and a step of selecting a tumor neoantigenic peptide of at least 8 amino acids, encoded by a part of said ORF of the fusion transcript sequence, wherein said ORF overlaps the junction between the TE and the exonic sequence, is pure TE and/or is non-canonical, and wherein said tumor neoantigenic peptide binds to at least one Major Histocompatibility Complex (MHC) molecule of said subject. The present disclosure also relates to tumor neoantigenic peptide obtained according to the present method, vaccine or immunogenic composition, antibodies and immune cells derived thereof and their use in therapy of cancer.

Abstract: A signal-analysis-based process for detecting and correcting power feeds is provided. The process includes obtaining voltage waveform data for power feeds connected to a system, and determining for the power feeds, using the obtained voltage waveform data, at least one respective signal characteristic. Further, the process includes comparing the respective signal characteristics of the power feeds to ascertain at least one signal characteristic difference between the power feeds. Based on the at least one signal characteristic difference not exceeding at least one respective difference limit, the process determines that the power feeds are not separately-sourced redundant power feeds connected to the system, and based on determining that the power feeds are not separately-sourced redundant power feeds, the process initiates a corrective action to ensure that the system is connected to separately-sourced redundant power feeds.