Abstract: A method of evaluating an operation of a downhole motor implemented in a wellbore includes receiving a first set of downhole data associated with the operation of the downhole motor at a first flowrate and generating a flowrate-independent power curve for the downhole motor based on the first set of downhole data. The method further includes, based on the flowrate-independent power curve, determining a second set of downhole data associated with the operation of the motor at a second flowrate.

Abstract: A method of evaluating an operation of a downhole motor implemented in a wellbore includes receiving a first set of downhole data associated with the operation of the downhole motor at a first flowrate and generating a flowrate-independent power curve for the downhole motor based on the first set of downhole data. The method further includes, based on the flowrate-independent power curve, determining a second set of downhole data associated with the operation of the motor at a second flowrate.

Abstract: The present disclosure relates to a method (100) for characterizing charged/polarizable organic live particle types in water comprising applying (101) a first time-dependent electric bias across a first pair of electrodes, so to generate a first space-time-dependent electric field in a sample of water. Further the method determines (102) background ion characteristics in said sample of water based on said first electric field. Further the method applies (103) a second time-dependent electric bias across at least a second pair of electrodes. Further, the method comprises obtaining (104) kinetic motion data of the captured particles. Additionally, the method determines (105) the presence/identity of a charged/polarizable organic live particle type.

Abstract: The disclosure generally relates to binding proteins that comprise antigen binding sites, a T cell receptor binding site, and a T cell co-stimulatory molecule binding site. The disclosure also relates to pharmaceutical compositions comprising such binding proteins, nucleic acid molecules encoding such binding proteins, and vectors comprising such nucleic acid molecules. The disclosure further relates to methods of treating a disorder or condition using such binding proteins and pharmaceutical compositions, binding proteins and pharmaceutical compositions for use in the treatment of a disorder or condition, and the use of such binding proteins and pharmaceutical compositions for the manufacture of a medicament for treating a disorder or condition.

Abstract: Provided herein are multispecific antibodies containing a lambda charge pair introduced into the interface of a heavy chain and a light chain to reduce chain mispairing.

Abstract: Provided herein is a multispecific antibody containing two antigen binding arms capable of binding to a first target and at least one antigen binding arm capable of binding to a second target. The multispecific antibody includes a lambda charge pair introduced into the interface of a heavy chain and a light chain to reduce chain mispairing.

Abstract: Provided herein are trispecific antibodies containing three antigen binding arms each capable of binding to a different target, wherein each antigen binding arm contains a different lambda or kappa charge pair introduced into the interface of the respective heavy and light chains to reduce chain mispairing.

Abstract: Methods for producing synthetic single-domain monoclonal antibody libraries using humanized llama nanobody framework sequences, libraries obtainable by the method, as well as antibodies selected from the libraries are described. In particular, synthetic single-domain monoclonal antibodies that specifically bind to the spike protein of SARS-COV-2 and neutralize SARS-COV-2 infection are described. Use of the disclosed antibodies for the detection, prophylaxis and treatment of SARS-COV-2 infection is described.

Abstract: A method and a system for predicting battery health based on distance driven on a full battery load with machine learning model are provided. The method includes: obtaining historical vehicle telematics of vehicles, wherein the historical vehicle telematics comprise at least one of the following: odometer readings, battery SOC, vehicle speed, battery-module temperatures, and battery-cell voltages; creating a distance driven model according to a relationship between a distance driven on a full battery load of vehicles and the historical vehicle telematics; obtaining a distance driven on a full battery load of a vehicle based on the distance driven model by using real-time vehicle telematics of the vehicle as model input; predicting battery health of the vehicle by comparing the obtained distance with a reference distance value.

Abstract: The disclosure features isolated polynucleotides, such as mRNAs, encoding a polypeptide that disrupts immune cell activity, such as T cell or B cell activity, including mRNAs comprising one or more modified nucleobase. The immune cell disruptor polynucleotides encode a polypeptide that comprises a first domain that mediates association of the polypeptide with an immune cell component and a second domain that mediates inhibition of immune cell activity when the polypeptide is expressed in the immune cell. The disclosure also features methods of using the same, for example, for inhibiting immune responses when administered to a subject, such as to inhibit autoimmune reactions.

Abstract: A learning method and a learning device for visual odometry based on an ORB feature of an image sequence are provided. The learning method includes: recording images, and constituting an original data set by means of the plurality of obtained images; performing ORB feature extraction on the images in the original data set to realize extraction of first key features; performing feature extraction and matching on continuous images in the original data set by means of a convolutional neural network, and extracting rich second key features from the sequential images; and inputting the first key features and the second key features extracted from the original data set into a multi-layer long-short-term memory network for training and learning, and generating and outputting estimation of a visual odometer. Rich first key features are extracted from an image sequence, and then a tracking algorithm is used for tracking the features in continuous frames.

Abstract: The present invention describes methods of treating, preventing, reducing the likelihood of having, reducing the severity of and/or slowing the progression of a medical condition related to ischemia/reperfusion in a subject using GJA1-20k as a therapeutic agent. The invention further provides a method of protecting a cell from metabolic stress, using GJA1-20k. The invention also provides for a composition and/or gene expression vector comprising GJA1-20k.

Abstract: A method and a system for predicting battery health based on distance driven on a full battery load with machine learning model are provided. The method includes: obtaining historical vehicle telematics of vehicles, wherein the historical vehicle telematics comprise at least one of the following: odometer readings, battery SOC, vehicle speed, battery-module temperatures, and battery-cell voltages; creating a distance driven model according to a relationship between a distance driven on a full battery load of vehicles and the historical vehicle telematics; obtaining a distance driven on a full battery load of a vehicle based on the distance driven model by using real-time vehicle telematics of the vehicle as model input; predicting battery health of the vehicle by comparing the obtained distance with a reference distance value.

Abstract: The present technology for the detection and analysis of analytes within a sample is based on molecular biology methods, including western blotting, gel electrophoresis, mass spectrometry, enzyme-linked immunosorbent assays and RT-PCR, which are normally time-consuming and laborious. The present disclosure provides novel OECT based electrochemical biosensors that can enable the convenient and cost-effective determination of analytes within a sample with high sensitivity and selectivity.

Abstract: Techniques are disclosed relating to machine learning techniques for determining geographic coordinates for an address. In some embodiments, a computer system may access address information for an address that includes one or more address elements. Based on this address information, the computer system, in some embodiments, may use a machine learning model to geographic coordinates for the address. For example, a tokenization layer of the machine learning model may generate token values based on the address elements in the address, and an embedding layer of the model may create corresponding word-embedding values based on these token values. Based on the word-embedding values, an encoder layer may generate comparative vectors that may then be decoded by a decoder layer into first and second decoded values. The first and second decoded values may then be converted into geographic coordinates for the address by an output layer of the machine learning model.

Abstract: Disclosed herein is a preparation method and use of a surface double-modified human serum albumin as a tumor targeting nano drug carrier, wherein the targeting nano drug carrier includes human serum albumin (HSA), polyethylene glycol and E-selectin peptide ligand. The targeting nano drug carrier is formed by coupling the E-selectin peptide ligand and polyethylene glycol to the surface of HSA by thioether linker formed between the sulfhydryl group of E-selectin peptide ligand and activated HSA. The targeting nano drug carrier can encapsulate hydrophobic antitumor drugs and form nanoparticles with certain particle size after treatment, which can not only increase the solubility and stability of the hydrophobic antitumor drugs, but also can actively recognize and bind E-selectin which is highly expressed on activated endothelial cells at tumor site, competitively inhibit the interaction between E-selectin and tumor cells, and thus inhibit the adhesion and migration of tumor cells.

Abstract: The present technology for the detection and analysis of analytes within a sample is based on molecular biology methods, including western blotting, gel electrophoresis, mass spectrometry, enzyme-linked immunosorbent assays and RT-PCR, which are normally time-consuming and laborious. The present disclosure provides novel OECT based electrochemical biosensors that can enable the convenient and cost-effective determination of analytes within a sample with high sensitivity and selectivity.

Abstract: Provided herein are methods of reducing the recurrence of liver cancer in a subject.

Abstract: The present invention describes methods of treating, preventing, reducing the likelihood of having, reducing the severity of and/or slowing the progression of a medical condition related to ischemia/reperfusion in a subject using GJA1-20k as a therapeutic agent. The invention further provides a method of protecting a cell from metabolic stress, using GJA1-20k. The invention also provides for a composition and/or gene expression vector comprising GJA1-20k.