Abstract: A method for managing a battery to perform a final action, the method includes determining a battery supplying power to an electronic device is discharging and receiving battery specification information for the battery. The method includes receiving environmental condition information for the battery and determining an open circuit voltage for the battery. The method includes determining a base capacity for the battery, a first capacity reduction for the battery based on the battery specification, and a second capacity reduction for the battery based on the environmental condition information. The method includes determining an overall expected capacity for the battery based on the first capacity reduction and the second capacity reduction, where the overall expected capacity represents available energy. Responsive to determining the available energy for the battery is less than a required energy to perform an action prior to battery depletion, the method includes sending a warning notification.

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 method and system are provided that apply a combination of machine learning and graph techniques to classify and transform sequential event data. In some embodiments, the method and system are applied to generate raw data in the shipping industry to automatically classify a sequence of status codes extracted from EDI data files corresponding to a series of physical events experienced by a shipping container into a sequence of meaningful milestones to provide improved visibility regarding the actual status of the shipping container. The method and system can be applied to classify and transform sequential event data for use in the shipping industry and in other applications.

Abstract: In one general embodiment, a computer-implemented method includes detecting individual sequential input/output (I/O) workloads in a stream of superimposed I/O workloads accessing a same physical volume. The detecting is based on a time dependency corresponding to accesses of blocks of the volume. In another general embodiment, a computer-implemented method includes detecting a plurality of sequential input/output (I/O) workloads in an I/O stream of superimposed workloads accessing a same volume, the detecting being based on a time dependency corresponding to accesses of blocks of the volume. A sequentiality factor is calculated for each of the sequential I/O workloads.

Abstract: A processor may identify that a computing device is below a power threshold. The processor may generate a charge request. The charge request may include metrics associated with a requested power exchange. The processor may send the charge request to a decentralized exchange. The decentralized exchange may include the computing device and at least two other devices. The processor may receive respective charging proposals from the at least two other devices. The processor may select one of the respective charging proposals.

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: A node in a blockchain network may send an operation for geometrically fractionalizing an non-fungible token (NFT) into geometric shards to a blockchain network. The geometric fractionalization associates each geometric shard with a specific part of the NFT. The node may also record, on distributed ledger of the blockchain network, the fractionalization of the NFT and the association between each geometric shard with the specific part of the NFT.

Abstract: Described are systems for electronic heatsink safety including a system comprising a thermoelectric generator integrated into a heatsink, where the thermoelectric generator includes a first portion exposed to ambient temperature and a second portion contacting the heatsink, and where the thermoelectric generator is configured to produce a current based on a temperature difference between the first portion and the second portion. The system further comprises a first Light Emitting Diode (LED) electrically connected to the thermoelectric generator, where the current is configured to activate the first LED.

Abstract: The present invention concerns a pet litter comprising a composition comprising 2,2-dimethyl-1,3-dioxolane-4-methanol. The present invention further relates to methods and uses of a composition comprising 2,2-dimethyl-1,3-dioxolane-4-methanol in pet litters, in particular for promoting in-litter elimination by pets.

Abstract: According to one embodiment, a method, computer system, and computer program product for fractional NFT trading marketplace is provided. The embodiment may include minting a mark associated with an entity as a fractional non-fungible token by a creator with ownership or authority over the mark, where the creator establishes a plurality of parameters during the minting. The embodiment may also include processing one or more purchases of one or more fractions of the fractional non-fungible token by one or more individuals from the creator. The embodiment may further include monitoring data associated with the fractional non-fungible token for criteria that triggers an event. The embodiment may also include in response to the criteria being present, executing the event.

Abstract: The present application relates to a tumor specific neoantigenic peptide, wherein said peptide is encoded by a part of an ORF sequence from a transcript associated with a SF3B1 or a SF3B1-like mutation, comprises at least 8 amino acids and binds at least one MHC molecule with an affinity of less than 500 nM; and is not expressed in normal healthy cells. The present application further relates to vaccine or immunogenic composition, antibodies, T cell receptors, polynucleotides, vectors and immune cells derived thereof as well as their use in therapy of cancer.

Abstract: The present disclosure provides systems and methods that impute planned transshipment locations for an itinerary associated with an item of cargo. In particular, according to one aspect of the present disclosure, a supply chain management computing system can obtain itinerary data that describes a planned shipment of an item of cargo from an origin location to a destination location. For example, the itinerary data can identify at least a shipping vehicle planned to transport the item of cargo. The supply chain management computing system can access vehicle location data associated with at least the shipping vehicle and can predict, based at least in part on the itinerary data and the vehicle location data, a transshipment location at which the item of cargo is transferred from the shipping vehicle to a different shipping vehicle.

Abstract: The invention relates to a method for detecting a mutation in a microsatellite sequence locus of a target fragment from a DNA sample, comprising subjecting said DNA sample to a digital polymerase chain reaction (PCR) in the presence of a PCR solution comprising: a pair of primers 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; and 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. The invention also encompasses methods for the diagnosis and prognosis of cancer and a method for determining the efficacy of a cancer treatment.

Abstract: The present disclosure provides systems and methods that impute planned transshipment locations for an itinerary associated with an item of cargo. In particular, according to one aspect of the present disclosure, a supply chain management computing system can obtain itinerary data that describes a planned shipment of an item of cargo from an origin location to a destination location. For example, the itinerary data can identify at least a shipping vehicle planned to transport the item of cargo. The supply chain management computing system can access vehicle location data associated with at least the shipping vehicle and can predict, based at least in part on the itinerary data and the vehicle location data, a transshipment location at which the item of cargo is transferred from the shipping vehicle to a different shipping vehicle.

Abstract: Locating, aiding, and communicating with users and personnel in emergency situations by traversing a defined path utilizing an unmanned vehicle, detecting a user within a threshold distance of the defined path, logging a geolocation of the user within the unmanned vehicle, and determining whether to dispatch assistance to the user.

Abstract: The present disclosure provides systems and methods that impute missing shipment milestones using vehicle tracking data (e.g., global positioning system (GPS data, automatic identification system (AIS) data, and/or the like). In particular, the present disclosure provides improved techniques to impute when a shipping vehicle (and the cargo loaded thereon) has arrived at a transportation location (e.g., port). In some implementations, the milestone imputation process first includes collecting a historical sample of the vehicle tracking data. Next, density-based clustering methods can be applied to identify vessel stops. This historical set of vessel stops can then be further clustered in order to identify individual docking or loading/unloading locations for all the transportation locations around the world.

Abstract: A method and system are provided that apply a combination of machine learning and graph techniques to classify and transform sequential event data. In some embodiments, the method and system are applied to generate raw data in the shipping industry to automatically classify a sequence of status codes extracted from EDI data files corresponding to a series of physical events experienced by a shipping container into a sequence of meaningful milestones to provide improved visibility regarding the actual status of the shipping container. The method and system can be applied to classify and transform sequential event data for use in the shipping industry and in other applications.

Abstract: Restricting use of a selected input in recovery from system failures. A testing system obtains, based on failure of a system, an indication of one or more tasks to be performed. The testing system automatically determines whether a user is to perform one or more actions to alter execution of the one or more tasks. The automatically determining is based on an indication of whether a knowledge transfer score of the user meets at least one predefined criterion. Based on knowledge transfer score meeting the at least one predefined criterion, the one or more actions are performed.

Abstract: A method for managing a battery to perform a final action, the method includes determining a battery supplying power to an electronic device is discharging and receiving battery specification information for the battery. The method includes receiving environmental condition information for the battery and determining an open circuit voltage for the battery. The method includes determining a base capacity for the battery, a first capacity reduction for the battery based on the battery specification, and a second capacity reduction for the battery based on the environmental condition information. The method includes determining an overall expected capacity for the battery based on the first capacity reduction and the second capacity reduction, where the overall expected capacity represents available energy. Responsive to determining the available energy for the battery is less than a required energy to perform an action prior to battery depletion, the method includes sending a warning notification.

Abstract: Embodiments of the present invention manage a state of charge of a rechargeable battery for extended storage by determining a manual override for a storage protocol is not activate for a rechargeable battery associated with a battery charger and an electronic device. Receiving battery data, environment data, and historical data for the rechargeable battery associated with a battery charger. Embodiments of the present invention determine to activate the storage protocol for the rechargeable battery based on the battery data, the environment data, and the historical data and discharge the rechargeable battery to a preset state of charge level based on the storage protocol.