Abstract: The present disclosure relates to chimeric molecules which are fusion proteins comprising two components: an Ang-2 binding peptide linked to either a VEGF antibody or a VEGF receptor-Fc fusion protein. The Ang2 peptide, VEGF antibody, and VEGF receptor-Fc fusion proteins are each defined below with reference to percent identity to a reference sequence. The chimeric molecule is a fusion protein, dual antagonist of Ang2 and VEGF for treatment of cancers, proliferative retinopathies, neovascular glaucoma, macular edema, AMD, and rheumatoid arthritis.

Abstract: Disclosed are a system, apparatus and techniques for evaluating a dataset to confirm that the data in the dataset satisfies a data quality metric. A machine learning engine or the like may evaluate text strings within the dataset may be of arbitrary length and encoded according to an encoding standard. Data vectors of a preset length may be generated from the evaluated text strings using various techniques. Each data vector may be representative of the content of the text string and a category may be assigned to the respective data vector. The category assigned to each data vectors may be evaluated with respect to other data vectors in the dataset to determine compliance with a quality metric. In the case that a number of data vectors fail to meet a predetermined quality metric, an alert may be generated to mitigate any system errors that may result from unsatisfactory data quality.

Abstract: Binding proteins comprising a pseudoFab domain including a stabilised knockout domain and a second VH/VL that form a first functional antigen binding domain are provided. Multispecific binding proteins comprising at least one pseudoFab are also provided. Multispecific binding proteins, nucleic acids encoding binding proteins and multispecific binding proteins, expression vectors, host cells, pharmaceutical composition and methods of treatment administering the binding proteins or multispecific binding proteins described herein are also provided.

Abstract: The present inventors have successfully prepared an antigen-binding molecule comprising an antibody variable region that has binding activity against a molecule expressed on the surface of a T cell and a molecule expressed on the surface of any other immunocyte, but does not bind to these molecules at the same time. The present invention allows the preparation of an antigen-binding molecule capable of circumventing adverse reactions that may be caused by the cross-linking of T cells to other immunocytes, and provides an antigen-binding molecule suitable as a drug.

Abstract: The present disclosure provides a method and apparatus for processing astronomical survey data. The method comprises: a data distribution step: delivering a spectral data file to be processed to a distributed file system, dividing the spectral data file into a plurality of data blocks, and distributing the data blocks to computing nodes; a data computing step: performing a spectral classification of spectra to be measured in the data blocks, with a template matching method; the data computing step comprises: reading template spectra, and extracting template universal operators; reading the spectra to be measured; performing spectral matching, and computing Chi-square error values for flow rate values of the template spectra multiplied by the polynomial and flow rate values of the spectra to be measured; and finding corresponding minimum Chi-square error and corresponding redshift for each of the template spectra, so as to determine classifications of the spectra to be measured.

Abstract: Chimeric antigen receptors for use in treating malignant melanoma and other cancers expressing CS1 are described.

Abstract: A method and system for monitoring operations of a machine operating at a worksite, is provided. The machine includes an implement for performing one or more implement operations and is powered by an engine. The method includes determining a first parameter corresponding to an engine speed associated with the engine, a second parameter indicative of vibrations detected inside the operator cabin and a third parameter indicative of a machine speed associated with the machine. The method further includes determining a machine operation as one of the loading operation, the dumping operation and a travelling operation based on one or more of the determined first parameter, second parameter and the third parameter.

Abstract: Described herein are methods for the efficient production of a heteromultimeric protein, such as a bispecific antibody. Heteromultimeric proteins may be capable of specifically binding to more than one target molecule or different epitopes on a single target molecule. The methods modulate parameters to improve assembly of the heteromultimeric proteins at higher yield and efficiency than otherwise possible. Also described are compositions comprising a hinge-containing polypeptide, such as a half-antibody.

Abstract: A virtualizable automated test equipment architecture includes a circuit assembly. The circuit assembly includes a number of signal paths that extend between a front plane and a backplane. The signal paths can be continuous and isolated from other signal paths of the plurality of signal paths. The circuit assembly also includes an impedance disposed along a signal path of the plurality of signal paths. A plurality of software-configurable physical disconnects may be arranged within the circuit assembly to form a switching matrix. The plurality of signal paths can be associated with a plurality of software-configurable physical disconnects, which can be configured to open and close signal paths of the plurality of signal paths based on the predetermined test requirements. The circuit assembly also includes a plurality of external device connections, at least one of which may be configured to interface with a unit under test (UUT). The software configurable physical disconnects may be configurable at runtime.

Abstract: The present invention demonstrated that the modification of the Fc region of an antigen-binding molecule into an Fc region that does not form in a neutral pH range a heterotetramer complex containing two molecules of FcRn and an active Fc? receptor improved the pharmacokinetics of the antigen-binding molecule and reduced the immune response to the antigen-binding molecule. The present invention also revealed methods for producing antigen-binding molecules having the properties described above, and successfully demonstrated that pharmaceutical compositions containing as an active ingredient such an antigen-binding molecule or an antigen-binding molecule produced by a production method of the present invention have excellent features over conventional antigen-binding molecules in that when administered, they exhibit improved pharmacokinetics and reduced in vivo immune response.

Abstract: This invention relates, at least in part, to compositions comprising synthetic nanocarriers and immunosuppressants that result in immune suppressive effects. Such compositions can further comprise antigen and provide antigen-specific tolerogenic immune responses.

Abstract: A method includes obtaining a baseline blood pressure at an initial time window; estimating a plurality of intermediate blood pressure change estimates, the intermediate blood pressure change estimates correspond to respective time windows that are subsequent to the initial time window; estimating a final blood pressure change estimate between the initial and final time windows; and obtaining the blood pressure by adding the baseline blood pressure to the final blood pressure change estimate. Estimating the final blood pressure includes estimating a first blood pressure change between the initial time window and the final time window; estimating a plurality of second blood pressure changes, each second blood pressure change is between a respective time window of the respective time windows and the final time window; and estimating the final blood pressure change estimate as a combination of the first blood pressure change and the plurality of second blood pressure changes.

Abstract: A system and method for interpolating soil chemistry variables to different plots of land is described. A first interpolation training model includes a machine learning model that receives soil composition information. A distance field training model generates spatial predictors that are applied to the machine learning model. The first interpolation training model prioritizes spatial smoothing over accuracy. A second interpolation training model is also applied that includes a distance weighting training model that more greatly weighs interpolated soil composition information closer to a point of interpolation than interpolated soil composition information that is further away to the point of interpolation. The second interpolation training model prioritizes accuracy over spatial smoothing. The illustrative crop prediction engine estimates soil chemistry values at different locations with the first interpolation training model and the second interpolation training model.

Abstract: A method of determining battery degradation retroactively using historical data is disclosed. The method includes the steps of collecting state of charge (SOC) and DC ampere data for a predetermined time period; determining a delta (?) SOC based on the data collected; creating a set of SOC regimes having a size based on ?SOC; filtering the SOC data and determining a set of points which indicate a charging or discharging event; and calculating overall Coulombs associated with each charging or discharging event and for each event, producing a timestamp and Coulombs associated with each event.

Abstract: A lipidated secondary antibody is disclosed. Particles comprising same are also disclosed.

Abstract: Disclosed herein are polynucleic acid molecules, pharmaceutical compositions, and methods for treating muscle dystrophy (DM1).

Abstract: A system and method for identifying ground types from one or more interpolated covariates. The method proceeds by accessing soil composition information for plots of land, in which the soil composition information includes measured soil sample results, environmental results, soil conductivity results or any combination thereof. The method continues by identifying covariates from the soil composition information. Subsequently, the method interpolates covariates associated with different locations with an interpolation training model. Voxels are generated that are each associated with interpolated covariates having a corresponding geographical location. The method trains a random forest training model with the interpolated covariates. The voxels traverse the trained random forest model to identify clusters of voxels that are co-associated. The method identifies a ground type by combining the co-associated clusters.

Abstract: An information processing apparatus configured to be connected to a sensor used to measure a state of a machine apparatus includes a processing portion. The information processing apparatus includes a processing portion configured to measure the state of the machine apparatus by using the sensor and executing a measurement task corresponding to an event condition that has been satisfied. The event condition is one of a plurality of event conditions associated with a plurality of measurement tasks. The processing portion is configured to execute a priority process in which when two or more event conditions of the plurality of event conditions have been satisfied, two or more measurement tasks corresponding to the two or more event conditions are executed in order of priority.

Abstract: A system and method for visualizing one or more crop response surfaces. The system includes a geospatial database associated with a crop prediction engine. The geospatial database receives soil composition information for plots of land. The crop prediction engine identifies covariates from the soil composition information, which has a feature matrix. The crop prediction engine generates a multi-dimensional covariate training data set from the covariates. The crop prediction engine then applies the multi-dimensional covariate training data set to a machine learning training model to generate at least one predictive crop-yield predictive model. The crop prediction engine ranks covariates having feature set interactions. Subsequently, the crop prediction engine determines a dominant crop-yield feature set interaction from the ranked covariates having feature set interactions. The crop prediction engine generates a crop response surface from the dominant crop-yield feature set interaction.

Abstract: The invention relates to methods and products for the identification of a clinically significant immune response in subjects treated with a therapeutic protein. Aspects of the invention relate to methods and compositions for identifying a clinically significant immune response in patients treated with therapeutic amounts of a VLA4 binding antibody (e.g., natalizumab).