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.

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.