Abstract: Described herein are systems for measuring enzymatic activities. Also described herein are methods for measuring or screening enzymatic activities utilizing the systems described herein.

Abstract: Provided are systems, devices, and methods to calculate and display information pertaining to a space. Information pertaining to the space may include a number of one or more objects that are permitted to enter the space and a wait time to enter the space.

Abstract: A system can include one or more processors configured to access at least one parameter of a material, generate a plurality of structures of the material using the at least one parameter, determine a state of each structure of the plurality of structures using the at least one parameter, determine a difference between the state of each structure of the plurality of structures and a ground state value, evaluate a convergence condition responsive to determining the difference between the state of each structure of the plurality of structures and the ground state value, and output at least one structure of the plurality of structures responsive to the convergence condition being satisfied.

Abstract: A method for active learning using sparse training data can include training a machine learning model using less than ten first training data points to generate a candidate machine learning model. The method can include performing a Monte Carlo process to sample one or more first outputs of the candidate machine learning model. The method can include testing the one or more first outputs to determine if each of the one or more first outputs satisfy a respective convergence condition. The method can include, responsive to at least one first output not satisfying the respective convergence condition, training the candidate machine learning model using at least one second training data point corresponding to the at least one first output. The method can include, responsive to the one or more first outputs each satisfying the respective convergence condition, outputting the candidate machine learning model.

Abstract: A method for optimizing objective functions can include selecting an objective function based at least on a hierarchy, applying parameters to the objective function to generate an output, responsive to the output not satisfying a tolerance condition, assigning a penalty to the set of parameters and evaluating a convergence condition using the set of parameters and the penalty, responsive to the output satisfying the tolerance condition, evaluating an additional objective function using the parameters in an order corresponding to the hierarchy or evaluating the convergence condition responsive to the selected objective function being a final objective function, modifying the set of parameters using a genetic algorithm responsive to the set of parameters not satisfying the convergence condition, and outputting the set of parameters responsive to the set of parameters satisfying the convergence condition.

Abstract: A system can include one or more processors configured to access at least one parameter of a material, generate a plurality of structures of the material using the at least one parameter, determine a state of each structure of the plurality of structures using the at least one parameter, determine a difference between the state of each structure of the plurality of structures and a ground state value, evaluate a convergence condition responsive to determining the difference between the state of each structure of the plurality of structures and the ground state value, and output at least one structure of the plurality of structures responsive to the convergence condition being satisfied.

Abstract: Antibodies are provided which comprise at least one Fab portion that binds CD47 and at least one Fab portion that binds the tumor associated antigen (TAA) CD20; wherein the Fab portion that binds CD47 exhibits low affinity for CD47; and, wherein the Fab portion that binds CD20 exhibits high affinity for CD20; and, wherein the antibody selectively binds CD47 and blocks CD47 interaction with SIRP? in tumor cells while exhibiting no substantial binding to CD47 in normal cells.

Abstract: Antibody species that bind B-Cell Maturation Antigen (BCMA) are provided as well as methods of depleting BCMA-expressing cells in a patient in need thereof, comprising administering a therapeutically effective amount of the antibody species or an entity comprising a BCMA binding fragment thereof. Methods of treating B cell-related disorders associated with BCMA expression in a patient in need thereof are provided, comprising administering to the patient a therapeutically effective amount of the antibody species or an entity comprising a BCMA binding fragment thereof.

Abstract: Described herein are systems for measuring enzymatic activities. Also described herein are methods for measuring or screening enzymatic activities utilizing the systems described herein.

Abstract: Antibody species that bind B-Cell Maturation Antigen (BCMA) are provided as well as methods of depleting BCMA-expressing cells in a patient in need thereof, comprising administering a therapeutically effective amount of the antibody species or an entity comprising a BCMA binding fragment thereof. Methods of treating B cell-related disorders associated with BCMA expression in a patient in need thereof are provided, comprising administering to the patient a therapeutically effective amount of the antibody species or an entity comprising a BCMA binding fragment thereof.

Abstract: A data collection system for semiconductor manufacturing includes: T substrate processing tools, where each of the T substrate processing tools includes: N processing chambers, where each of the N processing chambers includes a processing chamber controller configured to receive a plurality of different types of data during operating of the corresponding one of the N processing chambers, where the plurality of different types of data have different formats, where the processing chamber controller is further configured to format the plurality of different types of data into formatted data, and where T and N are integers; and a data diagnostic services computer configured to: receive and store the formatted data as categories in a common file having a table-like data structure including rows with contextual data; and in response to a request, generate an output file including a subset of the data from the common file.

Abstract: A feed injector for a gasifier comprising a burner and a cooling jacket to protect the burner from high temperatures. The cooling jacket comprises two concentric channels in order to provide a flow path for a heat transfer fluid, typically water, to travel through one channel toward the burner front, travel along the burner front, and return through the other channel. Heat transfer in the cooling jacket is improved by introducing one or more fins in the path of the heat transfer fluid and/or by increasing the radius of curvature of the wall corner bordering the flow recirculation zone in the cooling jacket.

Abstract: Described herein are transcriptional relay systems useful for reducing background signal in protein expression and reporter assays. These systems utilize a nucleic acid system wherein a promoter sequence controls expression of a synthetic transcription factor that activates transcription of a reporter molecule.

Abstract: For etching tools, a neural network model is trained to predict optimum scheduling parameter values. The model is trained using data collected from preventive maintenance operations, recipe times, and wafer-less auto clean times as inputs. The model is used to capture underlying relationships between scheduling parameter values and various wafer processing scenarios to make predictions. Additionally, in tools used for multiple parallel material deposition processes, a nested neural network based model is trained using machine learning. The model is initially designed and trained offline using simulated data and then trained online using real tool data for predicting wafer routing path and scheduling. The model improves accuracy of scheduler pacing and achieves highest tool/fleet utilization, shortest wait times, and fastest throughput.

Abstract: Described herein are methods and systems useful for interrogating protein-protein interactions. These systems utilize non-functional fragments of polypeptides that can complement each other to form a fully functional fragment in vivo. The fully functional polypeptide releases a transcription regulating polypeptide that can bind and activate or repress a reporter element.

Abstract: A method for active learning using sparse training data can include training a machine learning model using less than ten first training data points to generate a candidate machine learning model. The method can include performing a Monte Carlo process to sample one or more first outputs of the candidate machine learning model. The method can include testing the one or more first outputs to determine if each of the one or more first outputs satisfy a respective convergence condition. The method can include, responsive to at least one first output not satisfying the respective convergence condition, training the candidate machine learning model using at least one second training data point corresponding to the at least one first output. The method can include, responsive to the one or more first outputs each satisfying the respective convergence condition, outputting the candidate machine learning model.

Abstract: A system can include one or more processors configured to access at least one parameter of a material, generate a plurality of structures of the material using the at least one parameter, determine a state of each structure of the plurality of structures using the at least one parameter, determine a difference between the state of each structure of the plurality of structures and a ground state value, evaluate a convergence condition responsive to determining the difference between the state of each structure of the plurality of structures and the ground state value, and output at least one structure of the plurality of structures responsive to the convergence condition being satisfied.

Abstract: A system and method for generating a 3D-printed medical appliance treatment plan and providing a set of 3D-printed medical appliances in accordance therewith, the method comprising: generating a dynamic 3D-printed medical appliance treatment plan generation model; obtaining a patient record; receiving 3D scanning data of the patient; generating a 3D-printed medical appliance treatment plan by applying the patient record and the 3D scanning data to the dynamic 3D-printed medical appliance treatment plan generation model; providing the 3D-printed medical appliance treatment plan to a medical practitioner; providing a manufacturing request to a manufacturer system for manufacturing a set of 3D-printed medical appliances; providing the set of 3D-printed medical appliances to the patient; receiving feedback from the medical practitioner regarding the 3D-printed medical appliance treatment plan; modifying the dynamic 3D-printed medical appliance treatment plan generation model based on the feedback.

Abstract: A method for optimizing objective functions can include selecting an objective function based at least on a hierarchy, applying parameters to the objective function to generate an output, responsive to the output not satisfying a tolerance condition, assigning a penalty to the set of parameters and evaluating a convergence condition using the set of parameters and the penalty, responsive to the output satisfying the tolerance condition, evaluating an additional objective function using the parameters in an order corresponding to the hierarchy or evaluating the convergence condition responsive to the selected objective function being a final objective function, modifying the set of parameters using a genetic algorithm responsive to the set of parameters not satisfying the convergence condition, and outputting the set of parameters responsive to the set of parameters satisfying the convergence condition.

Abstract: Antibody species that bind B-Cell Maturation Antigen (BCMA) are provided as well as methods of depleting BCMA-expressing cells in a patient in need thereof, comprising administering a therapeutically effective amount of the antibody species or an entity comprising a BCMA binding fragment thereof. Methods of treating B cell-related disorders associated with BCMA expression in a patient in need thereof are provided, comprising administering to the patient a therapeutically effective amount of the antibody species or an entity comprising a BCMA binding fragment thereof.