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).

Abstract: A battery diagnostic apparatus and a battery diagnostic method that are capable of accurately determining a deteriorated state of a battery and enabling use of the battery immediately before or near the end of the battery life are provided. The battery diagnostic apparatus includes a power supply monitoring unit 5 configured to detect that a power supply voltage has changed from less than a predetermined voltage to equal to or more than the predetermined voltage, and a controller 4 configured to measure a battery voltage in a predetermined period after the detection that the power supply voltage is equal to or more than the predetermined voltage, calculate electric power associated with a remaining capacity of the battery 1 based on the battery voltage, and perform deterioration determination of the battery 1 based on the electric power associated with the remaining capacity of the battery 1.

Abstract: A computer-implemented method for detecting an anomaly in a technical system. The method includes detecting an environment state vector and a system state vector, the environment state vector including at least one first value which characterizes a physical environment condition or a physical operating condition of the technical system, and the system state vector including at least one second value which characterizes a physical condition of the technical system; ascertaining, using an environment anomaly model, an environment value which characterizes a probability or a probability density value with which the environment state vector occurs; ascertaining, using a system anomaly model, a system value which characterizes a conditional probability or a conditional probability density value with which the system state vector occurs if the environment state vector occurs; signaling the presence of an anomaly or signaling the absence of an anomaly based on the environment value and/or the system value.

Abstract: Multispecific, e.g., bispecific, antibody molecules that include a kappa light chain polypeptide and one lambda light chain polypeptide, and methods of making and using the multispecific antibody molecules, are disclosed.

Abstract: Water leaks and other anomalies in irrigation systems may be detected by analysis of energy consumption data captured from a utility power meter, and particularly energy data from smart meters that service water pumps. Furthermore, water usage can be measured indirectly from the energy required to move it given an understanding of its operating condition that ties water flow and electrical power. Unlike existing solutions that use water meters or other sensors, embodiments of the present method described herein detect water leaks and other anomalies from the electrical load for the water pump(s) and track the operating condition of the pump.

Abstract: A method includes receiving a service ticket corresponding to an undesired state of a client device, assigning the service ticket to a technician, and coordinating a remote control session between a technician device and the client device. The method includes obtaining a set of actions performed under remote technician control to transition the client device from the undesired state to a desired state. Each action describes one or more user interface interactions with the client device. The method includes storing a resolution profile (RP) based on the set of actions and textual descriptors. The method includes classifying a second service ticket received from a second client device. The method includes, in response to the classification indicating that the RP is applicable to the second service ticket, selectively instructing a software agent executing on the second client device to programmatically replay the set of actions from the RP without technician intervention.

Abstract: Provided herein are various processes for the improved production of antibody producing organisms, antibody producing tissues, antibody producing cells and antibodies. In certain embodiments, provided herein are methods for rapidly producing antibody producing organisms, tissues, cells and antibodies derived from humans, organisms, plants or cells that are genetically altered to over-express certain proteins.

Abstract: This invention pertains to protein-drug conjugates that may be used in the treatment of cancers and to pharmaceutical compositions containing the same. The protein-drug conjugate has the following formula (I), wherein: L is a cysteine-containing protein residue linked through one or more of the cysteine groups of the protein, R1 is selected from the group consisting of arylene, arylene-heteroarylene, heteroarylene-arylene and heteroarylene, n is an integer from 0 to 5, p and q are independently 0 or 1, R2, R3 and Z are spacers, u is 0 or 1 and T is a cleavable unit sensitive to hydrolases, k is 1 or 2 and D is a cytotoxic drug residue selected from dolastatin residues, which may be identical to or different from each other when k is 2, m is the mean payload-to-protein ratio (PPR) of the conjugate, which ranges from 0.1 to 16.

Abstract: Described herein are methods, formulations and kits for treating a patient with cancer with anti-VEGF antibodies and albumin-bound chemotherapeutic/anti-VEGF antibody nanoparticle complexes.

Abstract: The present invention relates to an antibody-drug-conjugate capable of binding IGF-1R. From one aspect, the invention relates to an antibody-drug-conjugate comprising an antibody capable of binding to IGF-1R, said antibody being conjugated to at least one drug selected from derivatives of dolastatin 10 and auristatins. The invention also comprises method of treatment and the use of said antibody-drug-conjugate for the treatment of cancer.

Abstract: The present invention relates to multispecific antibodies, for example bispecific antibodies, and methods for the isolation or purification of the same. The antibodies of the invention comprise first and second heavy chain-light chain pairings wherein each pairing comprises a distinct selective recognition site including one or more amino acid residues contributed from the heavy chain and the light chain of the pairing. The first and second selective recognition sites differ by at least one amino acid residue and can be differentially bound by first and second selective recognition agents according to the methods of the invention. Such methods facilitate the production of antibody preparations enriched for multispecific antibodies having the correct functional heavy chain-light chain pairings.