Abstract: Systems, devices, and methods are disclosed for decision making based on plasticity rules of a neural network. A method may include obtaining a multilayered model. The multilayered model may include an input layer including one or more input units. The multilayered model may include one or more hidden layers including one or more hidden units. Each input unit may have a first connection with at least one hidden unit. The multilayered model may include an output layer including one or more output units. The method may also include receiving an input at a first input unit. The method may include sending a first signal from the first input unit to at least one hidden unit via a first connection comprising a first strength. The method may also include making a decision based on the model receiving the input.

Abstract: The disclosure provides for the use of an oligosaccharide for the treatment of liver disease. More particularly, the disclosure provide methods and composition for treating liver disease comprising administering 2?-FL to a subject.

Abstract: Systems and methods are disclosed for quantifying blood flow using time-varying kinetic modeling of high temporal-resolution dynamic positron emission tomography (PET) data. A single tracer is introduced into the body. A first set of images is acquired, via PET, of at least a portion of the body at a plurality of predetermined time intervals. Based on the first set of images, an intensity of the tracer in the at least the portion of the body is determined as a function of time. The intensity of the tracer as a function of time is modeled using a time-varying kinetic model. Based on the model, the blood flow through the at least the portion of the body is quantified. Additional images may be acquired and used to quantify additional parameter(s), such as glucose metabolism, amyloid load, etc., with the single tracer.

Abstract: Provided herein are multi-strain population control systems, methods, kits, and compositions. Also provided are methods, systems, kits, and compositions for culturing bacterial cells in multi-strain ecosystems, and temporally arranged multi-strain ecosystems or cultures using a synchronized lysis circuit in combination with multiple toxin/antitoxin systems to cycle continuously over a long period of time.

Abstract: The invention provides cells that have an increased Signal Regulatory Protein Alpha (SIRP??) engagement function (SIRP? engager cells) that resist innate immunity when transplanted into a subject when compared to a parental cell having an unmodified SIRP? engagement function. The SIRP? engager cells lack an intact CD47 cytoplasmic signalling function. In some embodiments, the SIRP? engager cells are hypoimmune cells. In other embodiments, the SIRP? engager cells are differentiated somatic cells. In other embodiments, the SIRP? engager cells are hypoimmune pluripotent (HIP) cells. In further embodiments, the HIP cells are blood type O (HIPO), Rhesus factor (Rh)negative (HIP?) or both type O and Rh? (HIPO?). In other embodiments, the SIRP? engager cells have been derived or differentiated from HIP, HIP?, or HIPO? cells. In other embodiments, the SIRP? engager cells comprise an antibody Fc receptor to protect against antibody dependent cellular cytotoxicity (ADCC) or complement dependent cytotoxicity (CDC).

Abstract: A low power-consumption iontronic pressure sensor is disclosed that is based on OECT where an ionic hydrogel is used as solid gating medium for pressure sensing transistor elements formed thereon. The pressure sensor includes a substrate containing one or more pressure sensing transistor elements with each transistor element including a source electrode, a drain electrode, and a channel formed from a material comprising an electrically conducting polymer. A microstructured solid gel electrolyte having a plurality of microstructures formed thereon serves as the gating medium and is disposed atop the channel. A gate electrode is disposed on the microstructured solid gel electrolyte. The resultant iontronic pressure sensor may be operated at voltages less than 1 V, with a power-consumption between ˜101-103 ?W, while maintaining a tunable sensitivity between 1˜10 kPa?1.

Abstract: A deep learning-based digital staining method and system are disclosed that enables the creation of digitally/virtually-stained microscopic images from label or stain-free samples based on autofluorescence images acquired using a fluorescent microscope. The system and method have particular applicability for the creation of digitally/virtually-stained whole slide images (WSIs) of unlabeled/unstained tissue samples that are analyzes by a histopathologist. The methods bypass the standard histochemical staining process, saving time and cost. This method is based on deep learning, and uses, in one embodiment, a convolutional neural network trained using a generative adversarial network model to transform fluorescence images of an unlabeled sample into an image that is equivalent to the brightfield image of the chemically stained-version of the same sample.

Abstract: Provided herein is a plant comprising an exogenous polynucleotide encoding a JIM2 polypeptide. In some embodiments, the plants have enhanced resistance to at least one species of Xanthomonas.

Abstract: Methods for the detection of components from biological samples are provided. In certain aspects, the methods may be used to detect and/or quantify specific components in a biological sample, such as tumor cells (e.g., circulating tumor cells). Systems and devices for practicing the subject methods are also provided.

Abstract: A multimodal system for breast imaging includes an x-ray source, and an x-ray detector configured to detect x-rays from the x-ray source after passing through a breast. The system includes an x-ray detector translation system operatively connected to the x-ray detector so as to be able to translate the x-ray detector from a first displacement from the breast to a second displacement at least one of immediately adjacent to or in contact with the breast. The system includes an x-ray image processor configured to: receive a CT data set from the x-ray detector, the CT data set being detected by the x-ray detector at the first displacement; compute a CT image of the breast; receive a mammography data set from the x-ray detector, the mammography data set being detected by the x-ray detector at the second displacement; and compute a mammography image of the breast.

Abstract: Provided herein are methods and systems for monitoring a patient using a pressure-sensing device containing a pressure-sensitive region configured to selectively overlie a pressure ulcer-prone body part of the patient. In some embodiments, the pressure-sensing device includes a multilayered sensing unit containing a pressure-sensing layer to sense force and an adhesive layer configured to attach the pressure-sensing device to the body part. Also provided is a kit that includes the pressure-sensing device. The present methods, systems, and kits may find use in reducing the risk of pressure ulcer development in a patient.

Abstract: The present disclosure provides synthetic antibodies specific for a disease-associated antigen, and methods of using the antibodies in disease therapy. The present disclosure further provides diagnostic assays involving detecting the presence and/or level in biological sample of an antibody specific for a disease-associated antigen.

Abstract: A thermoset precursor composition includes a backbone comprising an imine bond bonding at least one of: 1) aromatic compounds together, or 2) bonding an aromatic compound to an aliphatic chain, and at least one of: an epoxy group terminating the backbone or an aldehyde group terminating the backbone. The thermoset precursor can have at least two epoxy groups, one epoxy group and one aldehyde group, or two aldehyde groups.

Abstract: K-Ras is the most frequently mutated oncogene in human cancer. Disclosed herein are compositions and methods for modulating K-Ras and treating cancer.

Abstract: Systems and methods for detecting motile objects (e.g., parasites) in a fluid sample by utilizing the locomotion of the parasites as a specific biomarker and endogenous contrast mechanism. The imaging platform includes one or more substantially optically transparent sample holders. The imaging platform has a moveable scanning head containing light sources and corresponding image sensor(s) associated with the light source(s). The light source(s) are directed at a respective sample holder containing a sample and the respective image sensor(s) are positioned below a respective sample holder to capture time-varying holographic speckle patterns of the sample contained in the sample holder. The image sensor(s). A computing device is configured to receive time-varying holographic speckle pattern image sequences obtained by the image sensor(s). The computing device generates a 3D contrast map of motile objects within the sample use deep learning-based classifier software to identify the motile objects.

Abstract: A biliquid material includes an emulsion having a continuous liquid phase, a dispersed liquid phase, and a surface-stabilizing material, wherein: the dispersed liquid phase is immiscible with the continuous liquid phase; the dispersed liquid phase is in the form of a plurality of droplets in the continuous liquid phase; the surface-stabilizing material is soluble in at least one of the continuous liquid phase and the dispersed liquid phase and preferentially adsorbs at the surfaces of the plurality of droplets, wherein the surface-stabilizing material imparts a repulsive interaction between the plurality of droplets that inhibits coalescence of the plurality of droplets; and the biliquid material has a structurally-colored droplets structure, wherein the structurally-colored droplets structure yields one or more structural colors when illuminated with broad-spectrum light wherein the one or more structural colors arise from diffraction of the broad-spectrum light by the plurality of droplets.

Abstract: Cementitious materials having high damage tolerance and self-sensing ability are described herein. These materials may replace conventional concrete to serve as a major material component for infrastructure systems with greatly improved resistance to cracking, reinforcement corrosion, and other common deterioration mechanisms under service conditions, and prevents fracture failure under extreme events. These materials can also be used for the repair, retrofitting or rehabilitation of existing concrete structures or infrastructure systems. Furthermore, these materials may offer capacity for distributed and direct sensing of cracking, straining and deterioration with spatially continuous resolution wherever the material is located, without relying on installation of sensors.

Abstract: The present disclosure provides supercapacitors that may avoid the shortcomings of current energy storage technology. Provided herein are electrochemical systems, comprising three dimensional porous reduced graphene oxide film electrodes. Prototype supercapacitors disclosed herein may exhibit improved performance compared to commercial supercapacitors. Additionally, the present disclosure provides a simple, yet versatile technique for the fabrication of supercapacitors through the direct preparation of three dimensional porous reduced graphene oxide films by filtration and freeze casting.

Abstract: Solid foam structures having multiple compartments comprising mesogenic ligand-functionalized nanoparticles are provided. Compositions that include these structures, as well as methods of making the structures are also provided. The structures, compositions and methods find use in a variety of applications, such as, photonics, luminescent coatings and multi-compartment encapsulation technologies.

Abstract: An automatic wireless fine-grained ratio map construction and adaptation system may include a Gaussian process regression (GPR) model constructed with real wireless received signal strength (RSS) measurements collected in a free space to provide coarse RSS estimation in a constrained space, and a generative adversarial network (GAN) to provide fine-grained RSS estimation in the constrained space by using an output of GPR as an input for a generator of GAN, modeling the irregular RSS distributions in complex indoor environments. The system may generate realistic RSS data in the constrained space that has not been manually site-surveyed.