Abstract: The present disclosure describes a nanoparticle comprising a three dimensional DNA nanocage and a payload biological macromolecule, and methods of assembly thereof.

Abstract: Organic light emitting devices (OLEDs) with emissive layers containing both phosphorescent Pt complexes and fluorescent emitters, are described. The devices presented employ both fluorescent and phosphorescent Pt complexes in order to redistribute the excited states to primarily reside on known stable fluorescent emitters to achieve high device operational stability but maintain the high efficiency characteristic of phosphorescent OLEDs.

Abstract: Aspects of the disclosure relate to methods and synthetic regulatory systems for more efficient nuclease-mediated homology-directed repair (HDR). In particular, provided herein are methods for more efficient in vivo and in vitro HDR-based gene editing where the methods comprise introducing into a cell a synthetic regulatory system comprising Cas nuclease, guide RNAs (gRNAs) having various lengths and configured to target distinct nucleotide sequences for simultaneous transcriptional repression (or activation) and genome editing via double stranded break and use of a donor nucleic acid molecule as a template for repair.

Abstract: A composition comprising a polypeptide ligated to an oligonucleotide through a sterol linker. A method of ligating a polypeptide to an oligonucleotide, comprising a polypeptide having a hedgehog steroyl transferase catalytic domain at the C-terminal of the polypeptide with an electrophilic residue, e.g., glycine, between polypeptide and the hedgehog steroyl transferase catalytic domain, and a steroylated oligonucleotide in solution, and permitting a reaction to cleave the hedgehog steroyl transferase catalytic domain from the polypeptide while ligating the steroylated oligonucleotide to the glycine at the C-terminal of the polypeptide. The oligonucleotide may be, for example, a therapeutic, diagnostic, or affinity ligand.

Abstract: Methods that implement image-guided tissue analysis, MRI-based computational modeling, and imaging informatics to analyze the diversity and dynamics of molecularly-distinct subpopulations and the evolving competitive landscapes in human glioblastoma multiforme (“GBM”) are provided. Machine learning models are constructed based on multiparametric MRI data and molecular data (e.g., CNV, exome, gene expression). Models can also be built based on specific biological factors, such as sex and age. Inputting MRI data into the trained predictive models generates maps that depict spatial patterns of molecular markers, which can be used to quantify and co-localize regions molecularly distinct subpopulations in tumors and other regions, such as the non-enhancing parenchyma, or brain around tumor (“BAT”) regions.

Abstract: Described herein are peptides that can be used to treat pain or increase pain sensitivity in subject in need of treatment. Additionally, peptides of the present disclosure can be administered with an analgesic agent and/or anesthetic agent. Peptides of the present disclosure are suitable for use when a subject in need of treatment has an injury, a chronic disease, a chronic inflammation, Morton's neuroma, operative/post-operative pain, or a combination thereof.

Abstract: Tetradentate platinum complexes of Formulas I and II suitable for phosphorescent or delayed fluorescent and phosphorescent emitters in display and lighting applications.

Abstract: A computer-implemented system implements a named entity recognition (NER) model trained for automatic dataset labeling and corpus generation for cybersecurity entities. The NER model includes a semantic similarity measure to determine which category an unclassified/unlabeled word such as an ambiguous keyword with more than one meaning should belong to based on the semantic similarity of an entire sentence.

Abstract: An exoskeleton wearable on a body of a human having two legs, the exoskeleton comprising a first HAA joint and a second HAA joint to assist the human with leg abduction and adduction movements that are parallel to a frontal plane, each of the first and the second HAA joints having an actuator, each actuator including a motor and a clutch. The exoskeleton further comprises a sensor system for measuring a combined center of mass of the human and the exoskeleton in the frontal plane and a step width of the human in the frontal plane. The exoskeleton further comprises a controller that outputs adjustment angles for each of the first and the second HAA joints based on the center of mass and the step width. The first and the second HAA joints are respectively rotated based on the respective output adjustment angles.

Abstract: A system and associated method learns full distributions over gene states, state connectivities, and associated rate parameters, simultaneously and self-consistently from single molecule level RNA counts within a Bayesian nonparametric paradigm. The method propagates noise originating from fluctuating RNA counts over networks warranted by the data by treating networks themselves as random variables. The method is demonstrated on the lacZ pathway in Escherichia coli cells, the STL1 pathway in Saccharomyces cerevisiae yeast cells, and robustness is verified on synthetic data.

Abstract: A system and associated method models behavior of an unbalanced distribution system using a current-voltage (IVACOPF) formulation. Untransposed distribution lines, shunt elements of distribution lines, and detailed representation of distribution transformers and DERs are modeled. The system provides detailed modeling of distribution system including mutual impedances, shunt elements, 3-phase to 1-phase lines. The model has multiple applications for distribution system management, planning, and operation.

Abstract: An environment-aware prediction and control framework, which incorporates learned environment and terrain features into a predictive model for human-robot symbiotic walking, is disclosed herein. First, a compact deep neural network is introduced for accurate and efficient prediction of pixel-level depth maps from RGB inputs. In turn, this methodology reduces the size, weight, and cost of the necessary hardware, while adding key features such as close-range sensing, filtering, and temporal consistency. In combination with human kinematics data and demonstrated walking gaits, the extracted visual features of the environment are used to learn a probabilistic model coupling perceptions to optimal actions. The resulting data-driven controllers. Bayesian Interaction Primitives, can be used to infer in real-time optimal control actions for a lower-limb prosthesis. The inferred actions naturally take the current state of the environment and the user into account during walking.

Abstract: A device for viewing a target, the device including a housing, an objective lens positioned within the housing, where the objective lens has a first lens group including at least a first lens and a second lens group including at least a second lens, the first lens positioned closer to the target than the second lens, and a camera positioned within the objective lens between the first lens and the second lens, where the camera is configured to provide images of the target located near a focal point of the objective lens, and wherein the arrangement of the first lens, the second lens, and the camera provides for simultaneous capture of a first image of a surface of the target and a second image of a sub-surface cellular structure of the target.

Abstract: The present invention provides for a fusion protein comprising (1) a bacterial microcompartment (BMC) shell protein comprising one or more subunit, and (2) a first component of a specific-binding pair, operably linked to the BMC shell protein such that the first component faces (i) a lumen (inside) side, or (ii) outside of a BMC shell formed incorporating the fusion protein and the fusion protein does not disrupt or prevent the folding of the BMC shell protein or the ability of the BMC shell protein to integrate with other BMC shell proteins into a BMC shell; wherein the first component is capable of forming a stable or irreversible interaction with a second component of the specific-binding pair.

Abstract: Certain exemplary embodiments can provide a system, machine, apparatus, device, manufacture, circuit, composition of matter, and/or user interface adapted for and/or resulting from, and/or a process, method, and/or machine-readable medium comprising machine-implementable instructions for, activities that can comprise and/or relate to, generating a gradient in an index of refraction of a material.

Abstract: Disclosed is an RFID antenna including: a central inductive circuit; and at least two lobes extending radially from the central inductive circuit.

Abstract: A well plate for measuring an analyte in a sample is disclosed. The well plate includes at least a first, a second, and a third electrode. The first electrode has a higher sensitivity to a first analyte than the second and third electrodes. The second electrode has a higher sensitivity to a second analyte than the first and third electrodes.

Abstract: The present invention provides new compounds and compositions thereof that release carbon monoxide for the treatment of medical disorders that are responsive to carbon monoxide, for example, inflammatory, pain, and dermatological disorders.

Abstract: Provided are compositions that include a platelet-activating factor antagonist, pharmaceutical compositions including the platelet-activating factor antagonist, methods of treating a modulating the proliferation of a glioma or a pathological condition resulting from patient having a glioma.

Abstract: A method is provided for making high quality silicon sulfide having 4N (99.99% by weight) or better purity.