Abstract: In some examples, user journey carbon footprint reduction may include generating, for a vehicle associated with a user, a carbon emission quota for user journey carbon footprint reduction. A predicted journey carbon emissions may be generated for the vehicle for a specified journey. Based on collaborative filtering, at least one goal-based and conditions-based recommendation may be generated for the user of the vehicle for the specified journey for the user journey carbon footprint reduction. Based on a user behavior model, a user-interface display may be generated for the specified journey for the user journey carbon footprint reduction. Further, based on the user behavior model, and real-time monitoring of the user and the vehicle, a real-time update of the user-interface display may be generated for the specified journey for the user journey carbon footprint reduction.

Abstract: A method for generating one or more emoticons for one or more users with respect to one or more fictional characters is provided.

Abstract: Described herein are methods and computer systems for classification of CD8 T-cell topology using a patient response-based linear cutoff model. A plurality of histology images of tissue samples in a plurality of patients are received by a computer system. An image analysis of the plurality of histology images is performed to obtain a CD8+ T-cell abundance in the tumor parenchyma and stroma in each of the plurality of histology images. Real inflammation scores and tumor infiltration scores are determined based on a polar coordinate transformation of the CD8+ T-cell abundance in the tumor parenchyma and stroma. Based on the real inflammation scores and tumor infiltration scores, a feature space is generated, and linear boundaries or linear cutoffs between a plurality of classifications in the feature space are identified based on the real inflammation scores, the tumor infiltration scores, and patient response data.

Abstract: Systems and methods for operating a hybrid power system are disclosed. A controller may perform operations, including: obtaining load data for the hybrid power system; obtaining power availability data and energy cost data for each power asset in each power asset group of a plurality of power asset groups; and determining active power commands for each power asset by performing at least one optimization, such that the determined active power commands optimize a total operating cost, wherein: the at least one optimization is based on at least one cost function that accounts for asset degradation, asset maintenance cost, asset operation efficiency cost, and the energy cost data; and the at least one optimization is constrained by a plurality of constraints based on the load data, the power availability data, and characteristics of the power assets; and operating each power asset based on the determined active power commands.

Abstract: A bottle teat consisting of a soft elastic material for a drinking bottle, in particular for infants and small children, having: a teat flange, a hollow teat sleeve that projects upward from the teat flange and is connected at its bottom end to the teat flange, a hollow suction part that is connected at its bottom end to the top end of the hollow teat sleeve and projects upward therefrom, a dome-shaped palate-contacting region on a side of the mouthpiece facing the palate, at least one drinking hole in the palate-contacting region that extends from the outside to the inside of the mouthpiece, wherein: an elevated surface that bulges to the outside is on the outside of the palate-contacting region, and the at least one drinking hole is arranged in the elevated surface so that the suction part with the elevated surface can be pressed in a sealing manner against an inwardly bulging sealing surface on the inside of the cap bottom of a cap to cover the bottle teat.

Abstract: Systems and methods for operating a hybrid power system are disclosed. A controller may perform operations, including: obtaining a load forecast; obtaining a power availability forecast and an energy cost forecast for each power asset group; performing at least one prospective optimization to determine scheduled active power commands for the groups that optimize a total operating cost; tracking an on-line load; tracking an on-line power availability and an on-line energy cost for the groups; performing at least one on-line optimization to determine on-line active power commands for the groups that (i) account for variance between the load forecast and the on-line load, (ii) account for variance between the power availability forecast and the on-line power availability, and (iii) optimize the total operating cost; and operating the groups based on the scheduled active power commands and the on-line active power commands.

Abstract: The present disclosure provides techniques for graphics translation. A subset of a plurality of natural language image descriptions for an image of a product is received. A set of shared natural language descriptors is identified in the subset of the plurality of natural language image descriptions. The set of shared natural language descriptors is aggregated, and a description for the first image is generated based on the aggregated set of shared natural language image descriptions.

Abstract: A pre-saturated disposable disinfecting wipe may include a microfiber cloth. The microfiber cloth may include a low weight substrate having a first face and an opposed second face, and microfiber yarn attached to the low weight substrate in a plurality of parallel rows of stitches. The pre-saturated disposable disinfecting wipe further includes a disinfecting formulation saturated in the microfiber cloth. The pre-saturated disposable disinfecting wipe may have a single-touch two-minute wetness coverage of more than 100 in2. A method of manufacturing a pre-saturated disposable disinfecting wipe may include saturating, with a disinfecting formulation, a microfiber cloth.

Abstract: A device for separating analytes is disclosed. The device has a sample injector, sample injection needle, sample reservoir container in communication with the sample injector, chromatography column downstream of the sample injector, and fluid conduits connecting the sample injector and the column. The interior surfaces of the fluid conduits, sample injector, sample reservoir container, and column form a flow path having wetted surfaces. A portion of the wetted surfaces of the flow path are coated with an alkylsilyl coating that is inert to at least one of the analytes. The alkylsilyl coating has the Formula I: R1, R2, R3, R4, R5, and R6 are each independently selected from (C1-C6)alkoxy, —NH(C1-C6)alkyl, —N((C1-C6)alkyl)2, OH, ORA, and halo. RA represents a point of attachment to the interior surfaces of the fluidic system. At least one of R1, R2, R3, R4, R5, and R6 is ORA. X is (C1-C20)alkyl, —O[(CH2)2O]1-20, -(C1-C10)[NH(CO)NH(C1-C10)]1-20-, or -(C1-C10)[alkylphenyl(C1-C10)alkyl]1-20-.

Abstract: The present disclosure provides techniques for graphics translation. A plurality of natural language image descriptions is collected for an image of a product. An overall description for the image is generated using one or more models, based on the plurality of natural language image descriptions, by: identifying a set of shared descriptors used in at least a subset of the plurality of natural language image descriptions, and aggregating the set of shared descriptors to form the overall description. A first request to provide a description of the first image is received, and the overall description is returned in response to the first request, where the overall description is output using one or more text-to-speech techniques.

Abstract: An apparatus includes a processor and a memory that stores a deep Q reinforcement learning (DQN) algorithm configured to generate an action, based on a state. Each action includes a recommendation associated with a computational resource. Each state identifies at least a role within an enterprise. The processor receives information associated with a first user, including an identification of a first role assigned to the user and computational resource information associated with the user. The processor applies the DQN algorithm to a first state, which includes an identification of the first role, to generate a first action, which includes a recommendation associated with a first computational resource. In response to applying the DQN algorithm, the processor generates a reward value based on the alignment between the first recommendation and the computational resource information associated with the first user. The processor uses the reward value to update the DQN algorithm.

Abstract: A pre-saturated disposable disinfecting wipe may include a microfiber cloth. The microfiber cloth may include a low weight substrate having a first face and an opposed second face, and microfiber yarn attached to the low weight substrate in a plurality of parallel rows of stitches. The pre-saturated disposable disinfecting wipe further includes a disinfecting formulation saturated in the microfiber cloth. The pre-saturated disposable disinfecting wipe may have a single-touch two-minute wetness coverage of more than 100 in2. A method of manufacturing a pre-saturated disposable disinfecting wipe may include saturating, with a disinfecting formulation, a microfiber cloth.

Abstract: Described herein are methods and computer systems for classification of CD8 T-cell topology using artificial intelligence and machine learning. A plurality of histology images of tissue samples in a plurality of patients are received by a computer system. An image analysis of the plurality of histology images is performed to obtain a CD8+ T-cell abundance in the tumor parenchyma and stroma in each of the plurality of histology images. A machine learning algorithm is then trained using results of the image analysis and the CD8+ T-cell abundance in the tumor parenchyma and stroma. Based on the training, a machine learning feature space comprising a plurality of classifications is generated, and boundaries between the plurality of classifications in the machine learning feature space are identified.

Abstract: The present disclosure provides methods of identifying a subject suitable for an anti-PD-?PD-L1 antagonist therapy comprising measuring assay CD8 localization and PD-L1 expression in a tumor sample obtained from the subject. In some aspects, method further comprises administering (i) an anti-PD-?PD-L1 antagonist therapy or (ii) an anti-PD-?PD-L1 antagonist and anti-CT-LA-4 antagonist combination therapy to a subject identified as having a tumor exhibiting an excluded CD8 localization phenotype, wherein the tumor is PD-L1 negative.

Abstract: A computing device is provided. The computing device may include a first camera configured to capture a primary image sequence of a scene, and a second camera configured to substantially concurrently capture a secondary image sequence of the scene. The computing device may include a processor configured to execute instructions stored in memory to obtain a depth map for an image of the primary image sequence, and based on the depth map, generate a reference frame of background pixels from the primary image sequence. The processor may be configured to execute the instructions to detect an intrusive object in the secondary image sequence, replace the intrusive object in the primary image sequence with corresponding background pixels of the reference frame to generate a modified primary image sequence, and output on a display at least one image of the modified primary image sequence.

Abstract: The present invention provides the use of charged surface reversed phase chromatographic materials along with standard reversed-phase LC and mass spectrometry compatible conditions for the retention, separation, purification, and characterization of acidic, polar molecules, including, but not limited to, organic acids, ?-amino acids, phosphate sugars, nucleotides, other acidic, polar biologically relevant molecules. The chromatographic materials of the invention are high purity chromatographic materials comprising a chromatographic surface wherein the chromatographic surface comprises a hydrophobic surface group and one or more ionizable modifier.

Abstract: A fluid dosing mechanism may include a dosing vessel, a dosing cylinder, a dial, and a piston. The dosing vessel defines a fluid chamber. The fluid chamber includes an inlet and an outlet. The dosing cylinder is coupled to the dosing vessel and defines an end slidable within the fluid chamber. The dial is rotatably coupled to the dosing cylinder and configured to slide the dosing cylinder to define a dosing volume within the fluid chamber against the end of the dosing cylinder. The dosing volume is fluidically coupled to the inlet and the outlet. The piston is movable between (i) a retention position to retain fluid in the dosing volume and (ii) a discharge position to discharge fluid from the dosing volume of the fluid chamber through the outlet. A cart assembly may include a fluid dosing system including a system housing and the fluid dosing mechanism.

Abstract: A device for separating analytes is disclosed. The device has a sample injector, sample injection needle, sample reservoir container in communication with the sample injector, chromatography column downstream of the sample injector, and fluid conduits connecting the sample injector and the column. The interior surfaces of the fluid conduits, sample injector, sample reservoir container, and column form a flow path having wetted surfaces. A portion of the wetted surfaces of the flow path are coated with an alkylsilyl coating that is inert to at least one of the analytes. The alkylsilyl coating has the Formula I: R1, R2, R3, R4, R5, and R6 are each independently selected from (C1-C6)alkoxy, —NH(C1-C6)alkyl, —N((C1-C6)alkyl)2, OH, ORA, and halo. RA represents a point of attachment to the interior surfaces of the fluidic system. At least one of R1, R2, R3, R4, R5, and R6 is ORA. X is (C1-C20)alkyl, —O[(CH2)2O]1-20—, —(C1-C10)[NH(CO)NH(C1-C10)]1-20—, or —(C1-C10)[alkylphenyl(C1-C10)alkyl]1-20-.

Abstract: Techniques for capacity management in computing systems are disclosed herein. In one embodiment, a method includes analyzing data representing a number of enabled users or a number of provisioned users to determine whether the analyzed data represents an anomaly based on historical data. The method can also include upon determining that the data represents an anomaly, determining a conversion rate between a change in the number of enabled users or the number of provisioned users and a change in a number of active users of the computing service and deriving a future value of the number of active users of the computing service based on both the detected anomaly and the determined conversion rate. The method can further include allocating and provisioning an amount of the computing resource in the distributed computing system in accordance with the determined future value of the active users of the computing resource.

Abstract: Translucency of a yttria-stabilized zirconia ceramic is improved to achieve even higher translucency than what is currently offered on the market, without greatly altering its mechanical properties. The enhancement is done by incorporating magnesium-containing dopants into the microstructure of yttria-stabilized zirconia ceramic dental ceramics.