Abstract: A single-domain antibody or an antigen-binding fragment thereof for neutralizing canine parvovirus (CPV) including a heavy chain encompassing a variable region. The variable region includes three complementarity-determining regions (CDRs): CDR1, CDR2, and CDR3. The three complementarity-determining regions CDR1, CDR2, and CDR3 have a combination of different amino acid sequences. The antibodies effectively prevent CPV from infecting F81 cells, exhibiting high binding affinity and specificity, and significant neutralizing activity against CPV. Consequently, the antibody sequences and expression vectors of the disclosure are valuable tools for various applications in CPV epitope identification, prevention, treatment, and diagnosis.

Abstract: A single-domain antibody or an antigen-binding fragment thereof to Senecavirus A, the single-domain antibody or the antigen-binding fragment thereof being selected from 52 amino acid sequence groups, and each of the 52 amino acid sequence groups including a first variable domain of heavy chain VH-CDR-1, a second variable domain of heavy chain VH-CDR-2, and a third variable domain of heavy chain VH-CDR-3. The first variable domain of heavy chain VH-CDR-1 has an amino acid sequence represented by one of SEQ ID NO: 1-SEQ ID NO: 52. The second variable domain of heavy chain VH-CDR-2 has an amino acid sequence represented by one of SEQ ID NO: 53-SEQ ID NO: 104. The third variable domain of heavy chain VH-CDR-3 has an amino acid sequence represented by one of SEQ ID NO: 105-SEQ ID NO: 156.

Abstract: Systems and methods for reconciling location based on multiple computing device signals. For example, the computing system can obtain location datasets associated with freight carrier services from computing sources. The computing system can determine an expected signal pattern for a location associated with a freight transportation service. The computing system can determine, for each computing source, a confidence score. The confidence score can represent the probability that the respective location dataset is associated with a load being transported for a freight transportation service. The computing system can determine a primary location dataset based on the confidence scores. The computing system can perform actions based on the primary location dataset.

Abstract: The invention relates to prostate specific membrane antigen antibodies (anti-PSMA) and anti-PSMA antibody drug conjugates. The invention also relates to methods and compositions for using anti-PSMA antibody drug conjugates in inhibiting, preventing or treating PSMA related diseases or cancers.

Abstract: Systems and methods for reconciling location based on multiple computing device signals. For example, the computing system can obtain location datasets associated with freight carrier services from computing sources. The computing system can determine an expected signal pattern for a location associated with a freight transportation service. The computing system can determine, for each computing source, a confidence score. The confidence score can represent the probability that the respective location dataset is associated with a load being transported for a freight transportation service. The computing system can determine a primary location dataset based on the confidence scores. The computing system can perform actions based on the primary location dataset.

Abstract: Systems and methods for calculating a distance between a first point and a second point of an anatomical landmark are provided. An input medical image of an anatomical landmark of a patient is received. One or more probability maps predicting a first point and a second point of the anatomical landmark in the input medical image are generated using a machine learning based model. Locations of the first point and the second point in the input medical image are determined based on the one or more probability maps. A distance between the first point and the second point is calculated based on the locations. The locations of the first point and the second point in the input medical image and/or the calculated distance between the first point and the second point are output.

Abstract: The invention relates to prostate specific membrane antigen humanized antibodies (anti-PSMA) and anti-PSMA antibody drug conjugates. The invention also relates to methods and compositions for using anti-PSMA antibody drug conjugates in inhibiting, preventing or treating PSMA related diseases or cancers.

Abstract: Methods and systems for segmentation of structures of interest (SOI) in a CT image post-operatively acquired with an implant user in a region of interest in which an implant is implanted. The method includes inputting the post-operatively acquired CT (Post-CT) image to trained networks to generate a dense deformation field (DDF) from the input Post-CT image to an atlas image; and warping a segmentation mesh of the SOI in the atlas image to the input Post-CT image using the DDF so as to generate the segmentation mesh of the SOI in the input Post-CT image, wherein the segmentation mesh of the SOI in the atlas image is generated by applying an active shape model-based method to the atlas image.

Abstract: Provided are computer-implemented methods and systems for classifying a medical image data set. In particular, a method is provided comprising the steps of receiving the medical image dataset of a patient, of providing a first classification stage configured to classify the medical image dataset as normal or not-normal, of providing a second classification stage different than the second classification stage and configured to classify the medical image dataset as normal or not-normal, and of subjecting the medical image dataset to the first classification stage to classify the medical image dataset as normal or not-normal. Further, the method comprises subjecting the medical image dataset to the second classification stage to classify the medical image dataset as normal or not-normal, if the medical image dataset is classified as normal in the first classification stage.

Abstract: Systems and methods for reconciling location based on multiple computing device signals. For example, the computing system can obtain location datasets associated with freight carrier services from computing sources. The computing system can determine an expected signal pattern for a location associated with a freight transportation service. The computing system can determine, for each computing source, a confidence score. The confidence score can represent the probability that the respective location dataset is associated with a load being transported for a freight transportation service. The computing system can determine a primary location dataset based on the confidence scores. The computing system can perform actions based on the primary location dataset.

Abstract: A deep-learning-based method for metal artifact reduction in CT images includes providing a dataset and a cGAN. The dataset includes CT image pairs, randomly partitioned into a training set, a validation set, and a testing set. Each Pre-CT and Post-CT image pairs is respectively acquired in a region before and after an implant is implanted. The Pre-CT and Post-CT images of each pair are artifact-free CT and artifact-affected CT images, respectively. The cGAN is conditioned on the Post-CT images, includes a generator and a discriminator that operably compete with each other, and is characterized with a training objective that is a sum of an adversarial loss and a reconstruction loss. The method also includes training the cGAN with the dataset; inputting the post-operatively acquired CT image to the trained cGAN; and generating an artifact-corrected image by the trained cGAN, where metal artifacts are removed in the artifact-corrected image.

Abstract: Antibody drug conjugates (ADCs) comprising an antibody conjugated to an anti-inflammatory therapeutic agent via a phosphate-based linker with tunable extracellular and intracellular stability are described.

Abstract: The present disclosure provides antibody drug conjugates comprising STING modulators. Also provided are compositions comprising the antibody drug conjugates. The compounds and compositions are useful for stimulating an immune response in a subject in need thereof.

Abstract: Antibody drug conjugates (ADCs) comprising an antibody conjugated to an anti-inflammatory therapeutic agent via a phosphate-based linker with tunable extracellular and intracellular stability are described.

Abstract: A flexible photonic skin is provided, including a functional layer, an adhesive layer used for fixing the functional layer and made of hypoallergenic polyvinyl ethyl ether, and a packaging layer made of a polyurethane semi-transparent film and adhered to the adhesive layer, which are arranged successively from the top down, wherein the functional layer consists of two electrodes located on two sides and used for acquiring electrocardiographic signals of a human body, and a polymer-based photonic integrated chip located between the two electrodes and used for acquiring body temperature, pulse, blood pressure and blood glucose signals of the human body; and, the polymer-based photonic integrated chip processes and outputs the acquired electrocardiographic signals of the human body as well as the body temperature, pulse, blood pressure and blood glucose signals of the human body.

Abstract: Disclosed herein are Trastuzumab-linked TLR-agonist derivative analogs that include at least one non-natural amino acid, and methods for making such non-natural amino acids and polypeptides. The Trastuzumab-linked TLR-agonist derivative analogs can include a wide range of possible functionalities, but typically have at least one oxime, carbonyl, dicarbonyl, and/or hydroxylamine group. Also disclosed herein are non-natural amino acid Trastuzumab-linked TLR-agonist derivative analogs that are further modified post-translationally, methods for effecting such modifications, and methods for purifying such Trastuzumab-linked TLR-agonist derivative analogs. Typically, the modified Trastuzumab-linked TLR-agonist derivative analogs include at least one oxime, carbonyl, dicarbonyl, and/or hydroxylamine group.

Abstract: A lithium-sulfur battery includes a substrate; a sulfur cathode disposed on the substrate; a coating layer disposed on the cathode; a first interlayer disposed on the coating layer; a solid-state electrolyte disposed on the first interlayer; a second interlayer disposed on the electrolyte; and a lithium anode disposed on the second interlayer, such that the coating layer is further disposed within pores of the cathode.

Abstract: A deep-learning-based method for metal artifact reduction in CT images includes providing a dataset and a cGAN. The dataset includes CT image pairs, randomly partitioned into a training set, a validation set, and a testing set. Each Pre-CT and Post-CT image pairs is respectively acquired in a region before and after an implant is implanted. The Pre-CT and Post-CT images of each pair are artifact-free CT and artifact-affected CT images, respectively. The cGAN is conditioned on the Post-CT images, includes a generator and a discriminator that operably compete with each other, and is characterized with a training objective that is a sum of an adversarial loss and a reconstruction loss. The method also includes training the cGAN with the dataset; inputting the post-operatively acquired CT image to the trained cGAN; and generating an artifact-corrected image by the trained cGAN, where metal artifacts are removed in the artifact-corrected image.

Abstract: The present invention relates to 2?-Fluoro-6?-methylene carbocyclic nucleosides, pharmaceutical compositions containing these nucleosides and their use in the treatment or prophylaxis of a number of viral infections and secondary disease states and conditions thereof, especially including Hepatitis B virus (HBV) and secondary disease states and conditions thereof (cirrhosis and liver cancer), Heptatitis C virus (HCV), Herpes Simplex virus I and II (HSV-1 and HSV-2), cytomegalovirus (CMV), Varicella-Zoster Virus (VZV) and Epstein Barr virus (EBV) and secondary cancers which occur thereof (lymphoma, nasopharyngeal cancer, including drug resistant (especially including lamivudine and/or adefovir resistant) and other mutant forms of these viruses, especially HBV.

Abstract: The disclosure provides a subspace-based blind identification algorithm of an ocean underwater acoustic channel for multi-channel fir filter, which adopts a technical solution that a channel impulse response coefficient is calculated by quadratic minimization. The disclosure has beneficial effects that estimation precision can be met when using a proper number of samples, and especially when a few noise vectors are used for estimating channel parameters, so that calculation amount is greatly reduced.