Abstract: A system (1) for predicting anomalies of machining, in particular the anomalies generating a defect on a part machined by a machine tool, comprising: a. a signal-processing unit (10) configured to acquire raw data, in particular sensor data and machining parameters from a machine tool (2) and to process the raw data to neuromorphic-circuit input data including features extracted by the signal-processing unit; b. a neuromorphic circuit (20) connected to the signal-processing unit configured to build a neural network on an integrated circuit, wherein the neural network is trained by training data and the trained neural network enables to determine anomaly data describing anomalies of the machining in response to the neuromorphic-circuit input data, in particular to the features; and c. a controller configured to receive the determined anomaly data from the signal-processing unit and to determine at least one action, which can be taken to overcome the determined anomalies.

Abstract: Provided herein are methods for treating at least one symptom of ALS in a subject who has received a first dosage of BSEP inhibitor, the method including administering to the subject a composition comprising a bile acid or a pharmaceutically acceptable salt thereof and a phenylbutyrate compound, monitoring the subject for response to the B SEP inhibitor, and administering a second dosage of the BSEP inhibitor, wherein the second dosage is less than the first dosage.

Abstract: Provided are a system and method for monitoring tension of a track. The track tension monitoring method of determining whether tension of tracks constituting an undercarriage module, which is an undercarriage of caterpillar track equipment, is abnormal includes, when tracks are in a dynamic state, entering an abnormality determination mode for determining whether the tracks are in excessive tension or low tension, and determining, in the abnormality determination mode, whether track tension is abnormal by measuring the track tension when the tracks make a turn, when the tracks are impacted, or when the caterpillar track equipment operates.

Abstract: Technical effects of the invention include use of a data-driven multivariate statistical method for the detection and isolation of sensor faults applied in a virtual flow metering context. In one implementation, the data-driven multivariate statistical method employs principal components analysis, weighted squared prediction error, and partial decomposition contribution plots.

Abstract: A method for evaluating the quality of a component produced by means of an additive laser sintering and/or laser melting method, in particular a component for an aircraft engine, includes at least the steps of providing a first data set, which comprises spatially resolved color values, which each characterize the temperature of the component at an associated component location during the laser sintering and/or laser melting of the component, providing a second data set, which comprises spatially resolved color values corresponding to the first data set, which color values each characterize the temperature of a reference component at an associated reference component location during the laser sintering and/or laser melting of the reference component.

Abstract: Provided herein are recombinant CTLA-4 binding proteins, which are, inter alia, useful for the treatment of cancer. The recombinant proteins provided herein are, inter alia, capable of binding CTLA-4 proteins on a tumor cell. In a first aspect, there is provided a recombinant CTLA-4 binding protein including (i) a CTLA-4 binding domain; (ii) a CTLA-4 binding domain masking peptide; and (iii) a cleavable peptide linker connecting the CTLA-4 binding domain masking peptide to the CTLA-4 binding domain. In another aspect, there is provided a dimerizing domain covalently attached to the CTLA-4 binding domain, wherein the binding protein domains are bound together.

Abstract: Herein is reported a method for determining the concentration of a therapeutic antibody in a tissue of an experimental animal to whom the therapeutic antibody had been administered, wherein the interference from residual blood in a tissue sample of the experimental animal, which is used for determining the concentration of the therapeutic antibody in said tissue, is reduced by applying an inert reference antibody that does not penetrate into said tissue, whereby the inert reference antibody is administered 2 to 10 minutes prior to obtaining the tissue and blood sample.

Abstract: A signal associated with a motor is obtained where the motor is included in a aircraft that has flight capabilities. A motor wear metric that represents an amount of wear experienced by the motor is determined based at least in part on the signal. It is determined, at a flight computer that is included in the aircraft, whether to restrict the flight capabilities of the aircraft based at least in part on the motor wear metric. The flight capabilities of the aircraft are restricted in the event it is so determined.

Abstract: A method includes acquiring data indicating a plurality of sensor detection values arranged in order along a specific variable axis, detecting, in the data, a plurality of change points that are data points at which the sensor detection value on the specific variable axis changes by a predetermined value or more, and calculating, for a target change point that is one change point among the plurality of change points, an index value representing a degree of abnormality using the target change point and a reference change point that is another change point.

Abstract: Personal dependency related to fault tree construction is reduced, and the reliability of an operating machine is improved by improving the accuracy of a fault diagnosis.

Abstract: An objective of the present invention is to provide methods for promoting antigen uptake into cells by antigen-binding molecules, methods for increasing the number of times of antigen binding by one antigen-binding molecule, methods for promoting reduction of the antigen concentration in plasma by administering antigen-binding molecules, and methods for improving the plasma retention of an antigen-binding molecule, as well as antigen-binding molecules that allow enhanced antigen uptake into cells, antigen-binding molecules having an increased number of times of antigen binding, antigen-binding molecules that can promote reduction of the antigen concentration in plasma when administered, antigen-binding molecules with improved plasma retention, pharmaceutical compositions comprising the above antigen-binding molecules, and methods for producing them. The present inventors revealed that the above objective can be achieved by using antigen-binding molecules that show calcium-dependent antigen-antibody reaction.

Abstract: A time series data processing apparatus according to the present invention includes an extracting unit configured to extract, from normal period time series data that is time series data of a period during which a measurement target is determined to be in a normal state of time series data including a plurality of parameters based on data measured from the measurement target, a combination of the plurality of parameters in which a value of another parameter with respect to a value of a predetermined parameter is maximum among combinations of the plurality of parameters, as a normal period maximum value.

Abstract: An abnormality determination method includes: a first distance calculation step of calculating, based on measurement data of an object, a first Mahalanobis distance in a first unit space corresponding to a normal mode of the object; a second distance calculation step of calculating, based on the measurement data, an (i+1)-th Mahalanobis distance in an (i+1)-th unit space corresponding to an i-th abnormal mode of the object for each integer i greater than or equal to 1 and less than or equal to N, N being an integer greater than or equal to 2; and an abnormality determination step of determining, based on the second to (N+1)-th Mahalanobis distances, one of the first to N-th abnormal modes where the object is when the first Mahalanobis distance exceeds a threshold value.

Abstract: Provided is a measurement data recording apparatus including: an acquisition portion configured to acquire time-series measurement data obtained by measuring a state of a target; a recording portion configured to record the acquired measurement data; a measurement data transmission portion configured to transmit the measurement data recorded in the recording portion to a generation apparatus configured to generate a determination model for determining a quality of the state of the target; a model reception portion configured to receive the determination model generated by the generation apparatus; and a determination portion configured to determine the quality of the state of the target from newly acquired measurement data using the received determination model.

Abstract: A meter electronics (20) for determining a decay characteristic of a meter assembly (10) of a flow meter (5) is provided. The meter electronics (20) includes an interface (201) for receiving a vibrational response from a meter assembly (10), the vibrational response comprising a response to an excitation of the meter assembly (10) at a substantially resonant frequency, and a processing system (203) in communication with the interface (201). The processing system (203) is configured to receive the vibrational response from the interface (201), determine a response voltage (V) of the vibrational response, determine a decay characteristic (?) of the meter assembly (10) based on the response voltage (V), and compensate the decay characteristic (?) by using a previously determined decay characteristic-to-response voltage relationship.

Abstract: Engineered antibodies that are stable and can be conjugated to a ligand or drug at a ligand/drug to antibody ratio of above 3, making these conjugates suitable for treatment of a variety of indications, are provided. Methods of producing these engineered antibodies are also provided.

Abstract: The present method predicts and separates dispersive surface waves from seismic data using dispersion estimation and is completely data-driven and computer automated and no human intervention is needed. The method is capable of predicting and suppressing surface waves from recorded seismic data without damaging the reflections. Nonlinear signal comparison (NLSC) is used to obtain a high resolution and accurate dispersion. Based on the dispersion, surface waves are predicted from the field recorded seismic data. The predicted surface waves are then subtracted from the original data.

Abstract: Described herein are engineered ligand that binds a cell surface receptor (e.g., GPCR), with improved affinity, potency, and specificity. By conjugating a sub-optimal ligand for a cell surface receptor (e.g., GPCR) to a targeting molecule that binds an epitope (natural or exogenous epitope) in the extracellular portion of the cell surface receptor (e.g., GPCR), the affinity, potency, and/or specificity of the sub-optimal ligand is enhanced.

Abstract: An evaluation method and an evaluation device for evaluating a health state of well site equipment, and a storage medium are provided. The evaluation method for evaluating the health state of the well site equipment includes: obtaining operating parameters of a component to be tested of equipment to be tested in at least one dimension, the at least one dimension including an operating data dimension, an environmental data dimension, and a maintenance data dimension; obtaining evaluation values of a health state of the component to be tested in various dimensions based on the operating parameters of the various dimensions; obtaining a comprehensive evaluation value of the health state of the component to be tested based on the evaluation values of the health state of the component to be tested in the various dimensions.

Abstract: According to one embodiment, an information processing apparatus includes: a processor configured to select a first case based on subject data including at least one feature, and acquire a first prediction value that is a value of an objective variable included in the first case; a first estimator configured to estimate frequency data indicating frequencies of observation values of the objective variable, based on a history of observation values of the objective variable; a second estimator configured to estimate first frequency data indicating frequencies of first prediction values, based on a history of first prediction values acquired before the first prediction value is acquired; and a corrector configured to correct the first prediction value acquired by the processor, based on the frequency data and the first frequency data.