Abstract: The current invention relates to a chimeric polypeptide, a nucleic acid encoding such chimeric polypeptide, a cell comprising such chimeric polypeptide of nucleic acid, preferably a T cell, a CAR T cell, NK cell or a CAR NK cell, and method of treatment using such cell, polypeptide of nucleic acid in the treatment of cancer, in particular in immune cell therapy. The chimeric polypeptide according to the invention allows for the reversible and dose dependent control of T cell and NK cell function (cytokine release, cytotoxicity).

Abstract: A system monitoring an additive manufacturing (AM) machine recoat operation includes an automatic defect recognition subsystem having a predictive model catalog each applicable to a product and to one recoat error indication having a domain dependent feature, the predicative models representative of a recoat error indication appearance at a pixel level of an image captured during recoat operations. The system includes an online monitoring subsystem having an image classifier unit that classifies recoat error indications at the pixel level based on predictive models selected on their metadata, a virtual depiction unit that creates a virtual depiction of an ongoing AM build from successive captured image, and a processor unit to monitor the build for recoat error indications, classify a detected indication, and provide a determination regarding the severity of the detected indication on the ongoing build. A method and a non-transitory computer-readable medium are also disclosed.

Abstract: A device and method for detecting the level of foam in a reactor vessel monitors the intensity of the light or the movement of the light detected by a camera which monitors at least one light source positioned inside the reactor vessel or viewable through the reactor vessel.

Abstract: A system monitoring an additive manufacturing (AM) machine recoat operation includes an automatic defect recognition subsystem having a predictive model catalog each applicable to a product and to one recoat error indication having a domain dependent feature, the predicative models representative of a recoat error indication appearance at a pixel level of an image captured during recoat operations. The system includes an online monitoring subsystem having an image classifier unit that classifies recoat error indications at the pixel level based on predictive models selected on their metadata, a virtual depiction unit that creates a virtual depiction of an ongoing AM build from successive captured image, and a processor unit to monitor the build for recoat error indications, classify a detected indication, and provide a determination regarding the severity of the detected indication on the ongoing build. A method and a non-transitory computer-readable medium are also disclosed.

Abstract: A method of identifying bounded hydrocarbon formations of interest in a seismic data set includes obtaining a seismic data set, pre-processing the seismic data set, inputting the plurality of graphical model inputs and one or more rules to a graphical model, wherein the rules define a relationship between a plurality of attributes of a bounded hydrocarbon formation, running a graphical model on the graphical model inputs, post-processing the graphical model outputs, and displaying the ranked clusters in order of rank.

Abstract: A structural subassembly for a compressor of a turbomachine, which has: a stator with a multiplicity of guide blades which extend in a flow path of the turbomachine, wherein the guide blades have an axis of rotation and are designed to be adjustable in terms of their stagger angle; an inner flow path boundary, which delimits the flow path through the turbomachine radially at the inside; and an outer flow path boundary, which delimits the flow path through the turbomachine radially at the outside. Here, the guide blades have first partial gaps with respect to the outer flow path boundary and/or second partial gaps with respect to the inner flow path boundary. Provision is made whereby the guide blades are arranged and formed such that the axes of rotation of the guide blades have a combined inclination both with respect to the axial direction and in a circumferential direction.

Abstract: Tools and methods for monitoring a subterranean formation is provided. Methods for monitoring include: creating a time-lapse azimuth stack between an azimuth stack on a first seismic survey and an azimuth stack on a second seismic survey; identifying a lowest root mean square energy and a highest root mean square energy for each time-lapse azimuth stack; and recording an azimuth with largest overall root mean square energy.

Abstract: System for analyzing scan data of a core sample includes an imaging system for obtaining images of a first segment and a second segment of the core sample, and one or more processors for receiving the images of the first segment and the second segment, and setting the images of the first segment adjacent to the images of the second segment coaxially in series to form a stacked image. The method includes receiving image data of segments of the core sample, determining values representative of one or more physical characteristics of the core sample, comparing the values to known reference information of a material similar to the material of the core sample, and determining the one or more physical characteristics of the core sample based at least in part on the comparison.

Abstract: A method for identifying a plurality of features of interest in a seismic image includes ranking each feature of interest. The method also includes modeling a relationship between the rank of each feature of interest and a user rating of the feature of interest. The method further includes updating the ranking of the plurality of features of interest, including (1) receiving a user rating for one feature of interest that has not been previously rated by a user; (2) updating the model of the relationship between the rank of each feature of interest and the user rating of the feature of interest based on the user rating; (3) applying the model to the ranking of the plurality of features of interest; and (4) repeating steps (1)-(3) until a termination criterion is met.

Abstract: A method includes accessing a seismic image comprising a plurality of features of interest. The method also includes defining a plurality of configuration files for a plurality of graphical models. The method further includes applying the plurality of graphical models to the seismic image. The method also includes generating a plurality of scores for each feature of interest, wherein each graphical model generates a score for each feature of interest. The method further includes combining the plurality of scores for each feature of interest into a plurality of combined scores, wherein each feature of interest has a combined score.

Abstract: A method in one embodiment includes acquiring optical image information with a detection unit configured to be operably coupled to a patient. The optical image information corresponds to microcirculation of the patient. The method also includes generating a microcirculation map of microvasculature of the patient using the optical image information. Further, the method includes generating a quantitative microcirculation index based on the microcirculation map, the quantitative microcirculation index corresponding to a condition of the patient.

Abstract: A method includes retrieving a seismic data set, receiving training data that includes one or more seed points of an identified geobody, determining a geobody trajectory of the identified geobody, based on the one or more seed points of the identified geobody, displaying the geobody trajectory, receiving inputs expanding the geobody trajectory, shrinking the geobody trajectory, confirming the geobody trajectory, or a combination thereof, training a classification algorithm using the geobody trajectory, running the classification algorithm on the seismic data set, receiving an output of one or more sets of voxels from the classification algorithm, skeletonizing the one or more sets of voxels to present the one or more sets of voxels as a set of possible geobody trajectories, and retraining the classification algorithm based on feedback received from a reviewer.

Abstract: A workflow is presented that facilitates defining geocontextual information as a set of rules for multiple seismic attributes. Modeling algorithms may be employed that facilitate analysis of multiple seismic attributes to find candidate regions that are most likely to satisfy the set of rules. These candidates may then be sorted based on how well they represent the geocontextual information.

Abstract: A method of analyzing a core sample from a wellbore by creating a visual composite image of the core sample that is based on a scan of the core sample. The scan directs radiation at the core sample, such as a computerized tomography (CT) scan, and obtains scan data by estimating radiation absorbed by material in the core sample. The composite image is made up of an arrangement of voxels, where each voxel represents a designated volume of the core sample, and is are assigned a value that corresponds to a measured value of radiation absorbed in the designated volume of the core sample.