Abstract: Systems and methods are disclosed which allow mobile devices, and other resource constrained applications, to more efficiently and effectively utilize deep learning neural networks using only (or primarily) local resources. These systems and methods take the dynamics of runtime resources into account to enable resource-aware, multi-tenant on-device deep learning for artificial intelligence functions for use in tasks like mobile vision systems. The multi-capacity framework enables deep learning models to offer flexible resource-accuracy trade-offs and other similar balancing of performance and resources consumed. At runtime, various systems disclosed herein may dynamically select the optimal resource-accuracy trade-off for each deep learning model to fit the model's resource demand to the system's available runtime resources and the needs of the task being performed by the model.

Abstract: The present invention is directed to novel nucleotide and amino acid sequences of Porcine Epidemic Diarrhea Virus (“PEDV”), including novel genotypes thereof, all of which are useful in the preparation of vaccines for treating and preventing diseases in swine and other animals. Vaccines provided according to the practice of the invention are effective against multiple swine PEDV genotypes and isolates. Diagnostic and therapeutic polyclonal and monoclonal antibodies are also a feature of the present invention, as are infectious clones useful in the propagation of the virus and in the preparation of vaccines. Particularly important aspects of the invention include polynucleotide constructs that replicate in tissue culture and in host swine. The invention also provides for novel full length PEDV genomes that can replicate efficiently in host animals and tissue culture.

Abstract: Occidiofungin is a cyclic nonribosomally synthesized antifungal peptide with submicromolar activity. This invention is directed to compositions enriched for particular occidiofungin diastereomers/conformers, methods of making compositions enriched for particular diastereomers/conformers and microorganisms suitable for producing enriched compositions of particular diastereomers/conformers. Methods of treating fungal infections or plants infected by fungi are also provided.

Abstract: A method for trapping noble gas atoms and molecules in oxide nanocages that includes providing oxide nanocages on a metallic substrate, ionizing a noble gas to form noble gas cations, applying a voltage to the metallic substrate, contacting the oxide nanocages with the noble gas cations, and deionizing the cations to form noble gas atoms and molecules that are trapped within the oxide nanocages. In one embodiment of the present device, polygonal prism organosilicate cages on a ruthenium thin film can trap noble gases.

Abstract: An activated carbon powder comprising activated carbon particles that comprise D-band carbon corresponding to a sp3 hybridized disordered carbon phase and G-band carbon corresponding to a sp2 hybridized graphitic phase at a controlled proportion. Additionally, the activated carbon particles comprise nitrogen at an amount that is in a range of about 0.3 atomic % to about 1.8 atomic % of the activated carbon particles, wherein at least some of the nitrogen atoms are substituted for carbon atoms in the crystal lattice structure of the G-band carbon. Also, the carbon particles have a surface area that is in a range of about 900 m2/g to about 2,500 m2/g, an average pore width in a range of about 1 nm to about 4 nm, a microporous surface area in a range of about 300 m2/g to about 1,350 m2/g, and a cumulative surface area of pores with a hydraulic radius in a range of 0.285 nm to 1.30 nm that is in a range of about 1,000 m2/g to about 3,000 m2/g.

Abstract: Metal-assisted delayed fluorescent emitters employing benzo-imidazo-phenanthridine and analogues for full color displays and lighting applications.

Abstract: The present disclosure relates in part to novel complexes of unsymmetrical N-heterocylic carbene (NHC) ligands and group 10 or 11 metals. The present disclosure further relates to methods of electrophilic functionalization of alkynes and/or nitriles using the NHC catalysts described herein.

Abstract: For tracking a target, a method receives a combined signal comprising a target signal reflected by a target and a transmitter signal not reflected by the target, wherein the transmitter signal is comprised of a plurality of orthogonal frequency division multiplexing (OFDM) subcarrier signals. The method calculates a signal Fourier transform for the combined signal to obtain the complex symbols. The method estimates a sequence of channel state information. The method estimates CSI over for non-pilot OFDM subcarriers of the combined signal to obtain CSI for a sequence of M OFDM symbols. The method computes a CSI Fourier transform for the sequence of CSI for a plurality of OFDM subcarriers. The method estimates a CSI Doppler frequency by matching a Fourier transform template to the CSI Fourier transform. The method computes each of a target position and a target velocity vector for the target.

Abstract: The disclosure relates to engineered systems and methods for detecting target nucleic acid in a sample, which may be a complex mixture. The systems and methods may improve sensitivity of target nucleic acid detection by enhancing signal generation. For example, signal generation may be enhanced through programmable capture and concentration of the target nucleic acid using an engineered type III CRISPR complex. Various ancillary nucleases such as Can1, Can2, and NucC are identified and may be used for detection. For example, binding of the engineered type III CRISPR complex may produce products that activate the identified ancillary nucleases. Different activators trigger changes in the substrate specificity of these nucleases. The activated nucleases may be used to detect programmatic detection of the target nucleic in the sample. The systems and methods are shown to detect viral RNA directly from nasopharyngeal swab samples.

Abstract: Disclosed herein are methods of identifying and treating subjects with cancer, and methods of predicting a survival outcome in a subject with cancer, such as pancreatic cancer. In one aspect, the application provides methods for detecting the presence of cancer or infectious disease in a subject by collecting and analyzing sequencing information from the subject, such as by performing single cell RNA sequencing analysis of individual cells obtained from a sample from the subject. In a further aspect, the application provides methods for detecting the presence of cancer or infectious disease in a subject by determining microbial diversity and/or assessing the presence or absence of particular microbes in individual cells from the subject as compared to a control. Also provided are methods of determining T-cell microenvironment reaction, for example by sequencing nucleic acid molecules in individual T-cells obtained from the subject.

Abstract: Compositions and methods for improving plastid transformation in difficult to transform plants are disclosed.

Abstract: The present disclosure relates to compositions and methods for treating a wound, or location of interest, in a subject by topically administering to the subject a therapeutic composition of the present disclosure. The composition of the disclosure comprises nanoparticle (NP) composites for delivering at least two cargos to the wound. In certain embodiments, the at least two cargos comprise a metal and a small molecule drug.

Abstract: Disclosed herein are fusion peptides comprising a fluorescent domain and a rare earth element detection domain capable of binding to a rare earth element and fluorescing when exposed to light when a rare earth element is bound and compositions thereof. The fusion peptide may further comprise a leader domain and a tail domain. The fusion peptide acts as a biosensor to detect and quantify rare earth elements. Methods for imaging internal body structures, detecting rare earth elements in a biosample or environmental sample, and cleaning an environmental site are also presented.

Abstract: An aligned polymer dispersed liquid crystal film is useful for enhancing light efficiency of a quantum dot backlight. The film may be formed by a process including irradiating a mixture with UV light at a first intensity to form a first composition comprising an isotropic polymer matrix; and irradiating the first composition with UV light at a second intensity to form a second composition comprising an anisotropic polymer network. The mixture includes an isotropic monomer; a mesogenic monomer; photo-initiator and a liquid crystal.

Abstract: The present disclosure relates to fibers prepared using decellularized liver ECM. The disclosure further provides in vitro cultures of human hepatocytes on decellularized liver ECM fibers, and the use of the cultures in developing and screening drugs.

Abstract: Material fracture is a process involving both linear elastic stage and nonlinear crack propagation stage. A system includes a physics-informed deep learning model integrated with a discrete simulation model (lattice particle method-LPM) to predict material fracture patterns for arbitrary material microstructures under different loadings. The key idea is to leverage physics-knowledge and data-driven approach for accurate and efficient nonlinear mapping. Physics-knowledge includes constraints, microstructure images, and displacement field from pure linear elastic analysis in a linear stage. A Fully Convolutional Network predicts the final fracture patterns in a non-linear stage. The system exhibits high computational efficiency for the nonlinear stage of material response prediction.

Abstract: An electrode deionizer and method remove polarized molecules of an ionic cluster in a fluid. In another aspect, electrophoresis and dielectrophoresis forces are used between electrodes to move a polarized molecular cluster in an electric field, which are then trapped in an activated-carbon on an anode. A further aspect uses dielectrophoresis to reduce the size of polarized molecules of an ionic cluster in a fluid. Yet another aspect of the present apparatus and method employ RF power in addition to DC power.

Abstract: A novel silver-lithium-iodine solid-state energy device and system are disclosed. The rechargeable, self-assembled, dual-function, metal-iodide battery exhibits small size and high deliverable power. Inert until activation, the device may be stored for long periods of time. Upon activation, the device assembles the required electrochemical moieties for operation without external intervention. The device limits short-circuiting and self-discharge of the system by spontaneous reactions at the electrode/electrolyte interfaces, and thus is self-healing. By incorporating both silver and lithium in the same system, a dual function is achieved, whereby the characteristics of a lithium-based battery dominate at a low load and those of a silver-based battery dominate under a high load.

Abstract: A gas chromatographic (GC) column using a zwitterionic compound and methods of use thereof are disclosed herein. The volatile free acids were observed to strongly retain on these zwitterionic compounds-based columns with excellent peak symmetry. By carefully tuning the structures of these zwitterionic compounds, different selectivity toward volatile free acids was demonstrated. These stationary phases possess a wide working range with thermal stabilities at higher temperatures.

Abstract: Systems and methods for maintaining an electronic health records system, including a server storing a medical records database. Requests for medical data for a patient in a master problem list are received from a user device, and appropriate list permissions are determined and granted for hierarchical derivative problem lists. Annotated data is received at the server from a user device based on annotations made to a derivative problem list, and problem lists are updated with the received annotated data in real time. The received annotated data is compared with current entries using natural language processing to detect duplicate entries, the duplicate entries are iteratively detected and removed from the master problem list, and non-duplicate entries are stored in authorized derivative problem lists based on the natural language processing and list update permissions for each of the derivative problem lists.