Abstract: The present invention provides methods for producing antibodies against peptides, proteins, or such to which immune tolerance is easily established, by using antigen-binding molecules comprising a domain that binds to a molecule expressed on the surface of a cell having an immune response-suppressing function and a T cell receptor (TCR) complex-binding domain. The present invention also provides pharmaceutical compositions for use in combination with therapeutic vaccines and agents for enhancing a humoral immune response, each comprising the antigen-binding molecules as active ingredients.

Abstract: Aspects of the disclosure relate to antibodies that bind to transferrin receptor (e.g., transferrin receptor 1) and complexes comprising the antibody covalently linked to a molecular payload. Methods of using the antibodies are also provided.

Abstract: Provided are macromolecular prodrugs in which camptothecin analogs are covalently bonded to polymers via ester bonds that are labile under physiological conditions. Also provided are methods of treating cancer, especially neuroblastoma with the macromolecular prodrugs.

Abstract: A computer-based method for identifying ice storm risk across a geographical extent includes receiving, at a computer-based ice storm risk calculation system, historical data regarding a plurality of past ice storms. The historical data includes, for each respective one of the plurality of past ice storms, data about the size of the geographical region that was impacted by the ice storm, the thickness of ice that accumulated from the ice storm, and qualitative data (e.g., written observations in new reports, etc.) reflecting human observations of the ice storm's impact. The method further includes calculating an ice storm severity index based, in part, on the size of the geographical region that was impacted by the ice storm and the thickness of the accumulated ice that resulted from the ice storm, and validating the calculated ice storm index with the qualitative data reflecting the human observations of the ice storm's impact.

Abstract: The present invention discloses a fault diagnosis method under a convergence trend of a center frequency, including: (1) acquiring a dynamic signal x(t) of a rotary machine equipment; (2) setting initial decomposition parameters of a variational model; (3) decomposing the dynamic signal x(t) by using the variational model with the set initial decomposition parameters, and traversing a signal analysis band and performing iterative decomposition on the dynamic signal x(t) under the guidance of a convergence trend of a center frequency, to obtain optimized modals {m1 . . . mn . . . mN} and corresponding center frequencies {?1 . . . ?n . . . ?N}; (4) searching a fault related modal mI, guiding parameter optimization by using a center frequency ?I of the fault related modal mI, and retrieving an optimal target component mI including fault information; and (5) performing envelopment analysis on the optimal target component mI, and diagnosing the rotary machine equipment according to an envelope spectrum.

Abstract: Provided herein are protein complexes comprising a sensor domain and a therapeutic domain linked by a linker, and methods of use thereof. In aspects of the present disclosure, activity of the therapeutic domain comprises a dependence on sensor domain binding to target markers.

Abstract: Systems and methods are disclosed herein for contextual data analysis and proactive intervention in industrial plant processes. Each of multiple data streams in an industrial plant are mapped to a common hierarchical data structure, wherein the data streams correspond to respective values or states associated with unit operations, assets, and process streams in the plant. The mapped data streams define hierarchical process relationships between subsets of the unit operations, assets, and process streams. Real-time data is collected to populate at least one level of the hierarchical data structure for certain data streams, wherein future outcomes are predicted for downstream operations based on the collected real-time data for at least one data stream, and at least one other data stream having a defined hierarchical process relationship therewith.

Abstract: Disclosed herein are humanized antibodies, antigen-binding fragments thereof, and antibody conjugates, that are capable of specifically binding to certain biantennary Lewis antigens, which antigens are expressed in a variety of cancers. The presently disclosed antibodies are useful to target antigen-expressing cells for treatment or detection of disease, including various cancers. Also provided are polynucleotides, vectors, and host cells for producing the disclosed antibodies and antigen-binding fragments thereof. Pharmaceutical compositions, methods of treatment and detection, and uses of the antibodies, antigen-binding fragments, antibody conjugates, and compositions are also provided.

Abstract: Provided in the present application is a humanized and multifunctional CD3 antibody; a heavy chain variable region of the CD3 antibody comprised herein contains the amino acid sequence of any one of SEQ ID NOs: 1-3 or a variant sequence thereof; and a light chain variable region thereof contains the amino acid sequence of any one of SEQ ID NOs: 26-28 or a variant sequence thereof. Further provided in the present application is a multifunctional antibody comprising (a) a light chain-heavy chain pair that has specificity for tumor cells or microorganisms; and (b) a fusion peptide that comprises a single-chain variable fragment and an Fc fragment having a CH2 domain and/or a CH3 domain, the fusion peptide having specificity for immune cells. The antibodies provided in the present application have improved biological activity, thermal stability and/or acid resistance.

Abstract: The present application provides a method and system for dynamically predicting a deoxynivalenol content of wheat at harvest, including: on the basis of historical data, screening out by particle swarm optimization algorithm combined factors suitable for establishing a prediction model, and establishing the prediction model by using the combined factors; on the basis of data of a current year, predicting a second flowering date and a second harvest date of wheat in the current year by an agricultural model; then obtaining a weather forecast on the basis of the second flowering date and the second harvest date, and combining the weather forecast and geographic data into correlated factors; and finally predicting the deoxynivalenol content of wheat at harvest by means of the prediction model and the correlated factors.

Abstract: This evaluation device comprises: a mathematical model acquisition unit that acquires a mathematical model expressing the state of a power storage element; an operation data acquisition unit that acquires operation data which includes time-series input data input during operation of a system constructed on the basis of the numerical model, and time-series output data output by the system on the basis of the time-series input data; a processing unit that inputs the time-series input data to the numerical model and executes processing causing time-series model output data to be output from the numerical model; and an evaluation unit that evaluates the design and the operation of the system on the basis of the time-series output data and the time-series model output data.

Abstract: Aspects of the disclosure relate to complexes comprising a muscle-targeting agent covalently linked to a molecular payload. In some embodiments, the muscle-targeting agent specifically binds to an internalizing cell surface receptor on muscle cells. In some embodiments, the molecular payload inhibits expression or activity of a DMPK allele comprising a disease-associated-repeat. In some embodiments, the molecular payload is an oligonucleotide, such as an antisense oligonucleotide or RNAi oligonucleotide.

Abstract: An adaptive method and device for predicting a weather-related characteristic of a surface of a segment of a road network. The method includes obtaining a location and of measuring a weather-related characteristic of the surface of the roadway of a road segment on which a measuring vehicle is traveling; predicting a weather-related surface characteristic of the road segment using a weather-observation history and a first prediction model associated with the road segment; associating a second prediction model with the road segment when a difference between the measured characteristic and the predicted characteristic is greater than a threshold; and transmitting to a vehicle a prediction made by applying the associated model to the weather-observation history.

Abstract: The present disclosure relates to compositions and methods of engineered IgG Fc constructs, wherein the Fc constructs include one or more Fc domains.

Abstract: A specific antigen-binding member (ABM) comprising a specific antigen-binding moiety and an antibody Fc region comprising a CH2 domain, which is engineered for a cysteine substitution at position 108 and/or 113, wherein numbering is according to the IMGT, and wherein the antibody Fc region does not comprise an antigen-binding CH3 domain; and an ABM conjugate (ABMC) comprising the ABM and at least one heterologous molecule covalently conjugated to one or both of the cysteines at positions 108 and 113 of the CH2 domain.

Abstract: An electronic apparatus includes a connection unit to which a battery device is connected, a calculation unit that calculates a remaining battery level of a battery of the battery device based on a full charge capacity of a battery of the electronic apparatus, and a display unit that displays information indicating a result of calculation made by the calculation unit.

Abstract: The present disclosure relates to anti-CD38 antibodies and their use as therapeutics and diagnostics. The present disclosure further relates to methods of treating autoimmune diseases, such as systemic lupus erythematosus and rheumatoid arthritis. The present disclosure further relates to diagnostic assay methods for identifying patients having autoimmune diseases for treatment.

Abstract: A system and method for predicting a crop yield for a type of seed in a location is described. The method includes receiving, at a client device, seasonal crop data for the type of seed, soil data associated with the location, and mapping data associated with the location. The soil data includes soil variables, and the location is represented by voxels. The seasonal crop data, the soil data and the mapping data are uploaded to a geospatial database associated with a crop prediction engine. A random forest prediction model is applied to the seasonal crop data, the soil data and mapping data in the geospatial database by the crop prediction engine, which then ranks covariates to determine one or more significant covariates. The crop prediction engine then re-applies the significant covariates to the random forest prediction model to predict the crop yield for the type of seed at the location.

Abstract: Isolated antigen binding molecules that specifically binds to a molecule comprising an amino acid sequence selected from the group consisting of GSTSGSGKPGSGEGSTKG (SEQ ID NO: 1), GSGKPGSGEG (SEQ ID NO: 2), GKPGSGEG (SEQ ID NO: 3), SGKPGSGE (SEQ ID NO: 499) and KPGSG (SEQ ID NO: 500) are provided. The antigen binding molecules can be used in the methods provided herein.

Abstract: Disclosed is a device and a method for measuring stream water depth in real-time through positioning data filtering to ensure the reliability of the measured water depth data even when the stream water depth measurement data is filtered and applied to a small stream having a small basin area and a steep slope. The device for measuring stream water depth in real-time through positioning data filtering includes: a measuring part for measuring the water depth of a stream to be measured; a positioning data filtering part for filtering the water depth data measured by the measuring means by a local linear regression-based bivariate scatterplot smoothing technique through elastic bandwidth application; and a water depth calculating part for calculating a water depth of the stream to be measured by using the positioning data filtered by the positioning data filtering part, and minimizing the uncertainty of the water depth measurement.