Abstract: An oxygen sensor for sensing dissolved oxygen concentration in tissue includes an electrochemical sensor comprising first and second conductive threads having proximal sections connected to a potentiostat. The first thread forms a cathode, and the second thread forms an anode.

Abstract: The invention relates, in part, to methods to introduce gene alleles of interest into members of a population of a species. The invention also relates to methods to prepare large numbers of organisms comprising one or more introduced alleles of interest in an otherwise wild-type genome.

Abstract: A method localizes a first agent in a network including a number of agents, the number of agents including a number of mobile agents and one or more beacons located at known locations. The method includes performing a procedure including, receiving transmissions from a number of neighboring agents, processing the transmissions to determine information related to a relative location of the first agent and each neighboring agent of the number of neighboring agents, determining, based on the information related to the relative location of the first agent and each neighboring agent, that the first agent is within one or more proximity regions, and updating an estimated location of the first agent based on the information related to a relative location of the first agent and each neighboring agent.

Abstract: Techniques for generating and managing, including simulating and training, deep tensor neural networks are presented. A deep tensor neural network comprises a graph of nodes connected via weighted edges. A network management component (NMC) extracts features from tensor-formatted input data based on tensor-formatted parameters. NMC evolves tensor-formatted input data based on a defined tensor-tensor layer evolution rule, the network generating output data based on evolution of the tensor-formatted input data. The network is activated by non-linear activation functions, wherein the weighted edges and non-linear activation functions operate, based on tensor-tensor functions, to evolve tensor-formatted input data. NMC trains the network based on tensor-formatted training data, comparing output training data output from the network to simulated output data, based on a defined loss function, to determine an update.

Abstract: A dental tissue regenerative composition. The composition includes a combination of (1) human dental pulp stem cells and (2) at least one of human umbilical vein endothelial cells or vascular endothelial growth factor. The combination is encapsulated in a light-activated gelatin methacrylate hydrogel.

Abstract: A method comprises using an atomic-force microscope, acquiring a set of images associated with surfaces, and, using a machine-learning algorithm applied to the images, classifying the surfaces. As a particular example, the classification can be done in a way that relies on surface parameters derived from the images rather than using the images directly.

Abstract: A composite thread includes first and second segments joined to each other. The first segment comprises a functional segment that interacts with an environment of the thread. The second segment communicates information between the first segment and a point external to said composite thread.

Abstract: A graft copolymer including zwitterionic repeat units and hydrophobic repeat units, in which the zwitterionic repeat units constitute 2-60 wt % of the graft copolymer and each of the hydrophobic repeat units is characterized in that a homopolymer formed thereof is miscible with polyvinylidene fluoride, polysulfone, poly ether sulfone, polyvinyl chloride, or polyacrylonitrile, each of the hydrophobic repeat units not being a repeat unit of polyvinylidene fluoride. Also disclosed is a filtration membrane containing such a graft copolymer or a statistical copolymer that includes the same composition of repeat units as the graft copolymer. Further disclosed are methods of preparing the graft copolymer and the filtration membrane.

Abstract: Provided herein are compositions and methods for vaccination and research applications. In particular, provided herein are non-neuroinvasive herpesviruses and alpha herpesviruses and uses thereof.

Abstract: Described herein are vaccine compositions and methods of selecting an antigen or fragment thereof for the preparation of a vaccine composition. The methods and vaccine compositions described herein are based, in part, on the discovery that certain polypeptides not previously identified or considered for potential use as antigens from pathogenic microorganisms (e.g., N. gonorrhoeae) can provoke an immune response in a subject. The methods of identifying and selecting the antigens described herein rely, in part, on approaches that identify polypeptides (e.g., hypothetical proteins) predicted to be immunogenic.

Abstract: A method for inferring characteristics of a physiological system includes measuring one or more physiological signals in the physiological system and inferring characteristics of the physiological system from the one or more measured physiological signals using a multiple vascular compartment hemodynamic model, the multiple vascular compartment hemodynamic model defining a relationship between the one or more measured physiological signals and the characteristics of the physiological system. When the one or more measured physiological signals include coherent oscillations at a plurality of frequencies, the method is termed coherent hemodynamics spectroscopy. The multiple vascular compartment hemodynamic model is based on an average time spent by blood in one or more of said vascular compartments and a rate constant of oxygen diffusion.

Abstract: A heat killed Porphyromonas gingivalis bacterium expressing a homogenous lipid A structure having a molecular negative mass ion of 1368, 1435/1449, or 1690/1768 is used as an immunomodulator. The immunomodulator may be used in combination with an antigen of interest to potentiate or restrain a host immune response toward the selected antigen.

Abstract: Disclosed is a statistical copolymer that includes both zwitterionic repeat units and hydrophobic repeat units, and a filtration membrane that contains a selective layer formed of the statistical copolymer. Also disclosed are methods of preparing the above-described filtration membrane.

Abstract: Provided herein are proteins that inhibit both the metalloprotease activity and disintegrin activity of human wherein the protein comprises an antigen-binding domain that: (i) binds specifically to human ADAM8; and (ii) binds to an epitope within human ADAM8 that includes at least one amino acid within the sequence of SEQ ID NO: 1, nucleic acids, vectors, compositions, and methods of use thereof (e.g., methods of treatment and methods of diagnosing).

Abstract: A computer-implemented method for analyzing a time-varying graph is provided. The time-varying graph includes nodes representing elements in a network, edges representing transactions between elements, and data associated with the nodes and the edges. The computer-implemented method includes constructing, using a processor, adjacency and feature matrices describing each node and edge of each time-varying graph for stacking into an adjacency tensor and describing the data of each time-varying graph for stacking into a feature tensor, respectively. The adjacency and feature tensors are partitioned into adjacency and feature training tensors and into adjacency and feature validation tensors, respectively. An embedding model and a prediction model are created using the adjacency and feature training tensors. The embedding and prediction models are validated using the adjacency and feature validation tensors to identify an optimized embedding-prediction model pair.

Abstract: The present disclosure provides certain silk-fibroin compositions with particular characteristics and/or properties. In some embodiments, the disclosure provides low molecular weight compositions. In some embodiments, the disclosure provides silk fibroin compositions that comprise an active (e.g., a biological) agent or component. In some embodiments, the disclosure provides low molecular weight silk fibroin compositions that comprise an active (e.g., a biological) agent or component. In some embodiments, an active agent is stabilized in a silk composition, e.g., for a period of time and/or against certain conditions or events. In some embodiments, a component present in a silk fibroin composition may be subject to analysis and/or characterization. In some embodiments, a component present in a silk fibroin composition may be recovered from the composition.

Abstract: Provided herein are compositions and methods for vaccination and research applications. In particular, provided herein are non-neuroinvasive herpesviruses and alpha herpesviruses and uses thereof.

Abstract: The present invention provides, in some embodiments, multi-layer silk compositions including a first layer comprising silk fibroin and keratinocytes, a second layer comprising silk fibroin and fibroblasts, a third layer comprising silk fibroin and adipocytes, and a plurality of nervous system cells, wherein at least some of the plurality of nervous system cells span at least two layers, and methods of making and using the same. In some embodiments, provided methods and compositions further include immune cells and/or endothelial cells.

Abstract: A polymeric hydrogel microparticle that contains polyacrylamide and chitosan, the chitosan uniformly incorporated in a polyacrylamide matrix. The microparticle, having a coefficient variation of 0 to 2% and containing macropores with an average size of 1 to 60 nm, is capable of transporting biomolecules conjugated to it. Also disclosed are a method of fabricating such a microparticle in a micromold via photo-induced radical polymerization and a one-pot method of conjugating biomolecules to polymeric hydrogel microparticles.

Abstract: Arrays of single molecules and methods of producing an array of single molecules are described. Arrays with defined volumes between 10 attoliters and 50 picoliters enable single molecule detection and quantitation.