Abstract: Disclosed are isolated or purified T cell receptors (TCRs), wherein the TCRs have antigenic specificity for a CD20 amino acid sequence presented by a human leukocyte antigen (HLA) Class I molecule. Related polypeptides and proteins, as well as related nucleic acids, recombinant expression vectors, host cells, populations of cells, and pharmaceutical compositions are also provided. Also disclosed are methods of detecting the presence of cancer in a mammal and methods of treating or preventing cancer in a mammal.

Abstract: The presently disclosed subject matter provides for methods and compositions for enhancing the immune response toward cancers and pathogens. It relates to chimeric antigen receptors (CARs) that specifically target human mesothelin, and immunoresponsive cells comprising such CARs. The presently disclosed mesothelin-targeted CARs have enhanced immune-activating properties, including anti-tumor activity.

Abstract: A doser assembly includes a hopper assembly configured to receive filler material, a vibration transmission assembly coupled to the hopper assembly, and a paddle in a hopper opening that extends through the hopper assembly. The vibration transmission assembly includes a shaft that is configured to rotate around a central rotation axis, an eccentric that is fixed to the shaft and has a center that is radially offset from the central rotation axis, a connecting rod that is pivotably connected to the center of the eccentric, and a bracket that is pivotably connected to the connecting rod. A first end of the paddle is pivotably coupled to the hopper assembly at a paddle pivot joint. The paddle is fixed to the bracket of the vibration transmission assembly separately from the hopper assembly. The vibration transmission assembly is configured to cause the paddle to reciprocatingly pivot around the paddle pivot joint.

Abstract: Provided are transaction cards with a reduced weight core. In some approaches, a transaction card may include a body having a first outer layer opposite a second outer layer, and a corrugated core between the first outer layer and the second outer layer, wherein the corrugated core comprises a plurality of alternating peaks and valleys coupled to the first outer layer and the second outer layer. The transaction card may further include an identification chip positioned through the first outer layer, wherein the identification chip is directly coupled to the corrugated core.

Abstract: The disclosed embodiments generally relate to in-store customer traffic analysis systems and methods. The system includes at least one sensor positioned within a retail store, at least one display associated with the at least one sensor, one or more memory devices storing instructions and one or more hardware processors configured to execute the instructions to perform operations. The operations include receiving a sensor signal indicating that a user device is within a proximity to the at least one sensor in the retail store, extracting a user device identifier from the sensor signal, correlating the sensor signal to the at least one display, generating a foot traffic record associated with the user device identifier and the at least one display, based on the received sensor signal, and storing the generated foot traffic record.

Abstract: A method and system for identifying formation porosity and formation lithology. The method may include disposing a PNL tool into a borehole that is disposed in a formation, emitting a neutron from a neutron source on the PNL tool into the formation, and capturing one or more gammas expelled from formation in response to the neutron from the neutron source to form a plurality of pulsed neutron logging (PNL) measurements in a log. The method may further include identifying a formation porosity and a formation lithology with an artificial neural network that at least partially incorporates the PNL measurements.

Abstract: A container (100, 300) configured to carry a plurality of articles includes a body (101, 301) configured to form an interior space (105, 305). The body (101, 301) includes at least a side wall (107, 307) and a bottom (109, 309). The container (101, 301) includes a divider handle (111, 311) that can be configured to attach to the body (101, 301). The divider handle (111, 311) forms a handle and at least one divider configured to divide the interior space (105, 305) into at least two compartments.

Abstract: Systems of the present disclosure relate to metal-to-metal seals for oilfield tubulars. A pin for a metal-to-metal seal, comprises a pin nose and a support structure. A gap extends between the pin nose and the support structure.

Abstract: A tubular for downhole use, the tubular including a pipe, an insulation layer surrounding the pipe, and a protective layer around the insulation layer and comprising a polymer. The protective layer can also include a compression layer adjacent to the insulation layer. There may be reinforcement material in the protective layer, for example encapsulated by the elastomer. The tubular may have bare portions at the ends for manipulation of the tubulars to form a tubing string. A sleeve may be provided using the same layer structure to insulate the bare portions which form joints of the tubing string. The sleeve can also include a base layer.

Abstract: In some embodiments, an authentication prompt may be generated based on (i) an object, detected in an image stream of an environment of a user, satisfying one or more criteria and (ii) object data associated with the detected object. The criteria may include (i) the object being in a plurality of different samples and (ii) the object being in a first spatial region of a first sample of the different samples, where the first spatial region of the first sample is a spatial region at which the user looked. An authentication response may be obtained from a user device of the user in connection with the authentication prompt, and the user may be authenticated based on the authentication response obtained from the user device.

Abstract: Systems and methods are disclosed herein for real-time digital authentication. According to some embodiments, receiving a hashed user credential from the third party entity, performing a matching operation between the received hashed user credential and a stored hashed credential stored in the non-transitory memory, the received hashed user credential and the stored hashed credential being hashed using the same hashing algorithm, and in response to detecting a match between the received hashed user credential and the stored hashed user credential, performing a user eligibility operation associated with the first transaction.

Abstract: The container includes a main sidewall, a first end-wall connected to a first end of the main sidewall, and a first structure, a first side of the first structure being connected to a second end of the main sidewall, the main sidewall, the first end-wall and the first structure at least partially defining a primary storage area, the first structure including a secondary sidewall extending from a second side of the first structure, and a including a protrusion extending from a first side of the cover, the protrusion being inserted within the secondary sidewall to be releasably mated with the secondary sidewall, a first central portion of the cover and a second central portion of the first structure at least partially defining a secondary storage area, a first peripheral portion of the cover and a second peripheral portion of the first structure at least partially defining a peripheral cavity.

Abstract: Disadvantage of these existing approaches for spike encoding optimization are that they fail to process multivariate data and perform energy-efficient time series classification at edge. The disclosure herein generally relates to spike encoding optimization, and, more particularly, to a method and system for Mutual Information (MI) based spike encoding optimization. Before performing spike data optimization for a given input multivariate time series data, the system ensures by iteratively adding gaussian noise to the input data that the input data has achieved a maximum MI value. After the input data has achieved a maximum MI value, spike train optimization is done by the system, to generate optimized spike data and in turn a spike reservoir.

Abstract: Described herein is a system for providing version control across APIs. In an embodiment, an application of a client device may transmit communications to a service application API that are in a format not accepted by the service application API, using the application API. A central (or public) API may receive the communication transmitted by the application's API. The central API may identify the versions of the application's API and the service application API. The central API may format the communication based on the mapped fields, to a format accepted by the service application API. The central API 106 may forward the formatted communication to the service application.

Abstract: A method of forming an oral product includes extruding a mixture, conveying the extruded mixture through one or more pairs of forming rollers, and cutting the extruded mixture into one or more oral products. The mixture can include polymer and at least one flavorant, sweetener, active ingredient, or combination thereof. The extruded mixture forms an extrudate having a predetermined cross-sectional shape. The one or more pairs of forming rollers abut to define a passage there between as each forming roller rotates. The passage has a cross-sectional shape corresponding to the predetermined cross-sectional shape. The method can be performed using a machine including an extruder, one or more pairs of forming rollers, and a cutting device.

Abstract: Systems and methods for implementing a server-less data management may include receiving a dataset comprising a plurality of partitions, scanning the dataset to identify a first partition and a second partition, generating a first kick-off job message associated with the first partition and a second kick-off job message associated with the second partition, sequencing the first kick-off job message before the second kick-off job message based on a sequencing model, generating a first job based on the first kick-off job message and a second job based on the second kick-off job message; and transmitting the first job before the second job based on sequencing the first kick-off job message before the second kick-off job message.

Abstract: In certain aspects, the disclosed implementations include methods and systems for dynamically generating and determining transaction affinity relationship information associated with a set of merchants involved in a set of transactions. In certain implementations, the transaction affinity relationship information may reflect affinity relationships between merchant chains in a merchant affinity network. The disclosed implementations may receive an adjustment to an affinity relationship associated with a merchant chain, and based on the adjustment, predicts one or more changes to affinity relationships associated with other merchant chains in the merchant affinity network.

Abstract: A method and microfluidic device to perform reservoir simulations using pressure-volume-temperature (“PVT”) analysis of wellbore fluids.

Abstract: A system, method, and computer-readable medium for consolidating multiple databases into a single or a smaller number of databases is described. An improved structure of target database may be achieved by removing constraints used when creating legacy databases. According to some aspects, these and other benefits may be achieved by combining multiple source tables into a single target table with errors being identified and addressed during the creation of the instructions to generate the target table. In implementation, this may be effected by converting values from a source table and values from a target table into normalized versions of those values and then comparing the normalized values. A benefit includes verifying that the data from the source table is being properly reflected in the target table.

Abstract: Systems described herein may use machine classifiers to perform a variety of natural language understanding tasks including, but not limited to multi-turn dialogue generation. Machine classifiers in accordance with aspects of the disclosure may model multi-turn dialogue as a one-to-many prediction task. The machine classifier may be trained using adversarial bootstrapping between a generator and a discriminator with multi-turn capabilities. The machine classifiers may be trained in both auto-regressive and traditional teacher-forcing modes, with the maximum likelihood loss of the auto-regressive outputs being weighted by the score from a metric-based discriminator model. The discriminators input may include a mixture of ground truth labels, the teacher-forcing outputs of the generator, and/or negative examples from the dataset. This mixture of input may allow for richer feedback on the autoregressive outputs of the generator.