Abstract: Methods and compositions for detecting the presence of a pathogen are described. In particular, this document provides a method of detecting a pathogen-associated nucleic acid in a biological sample of a subject, where the method comprises using one or more unimolecular aptamer-based sensors comprising an aptamer-fluorophore complex and an amplification step to detect the pathogen-associated nucleic acid. Methods specific for detecting the presence of malaria and other mosquito-borne virus infections are also provided.

Abstract: Techniques are described for efficiently reducing the amount of total computation in convolutional neural networks (CNNs) without affecting the output result or classification accuracy. Computation redundancy in CNNs is reduced by exploiting the computing nature of the convolution and subsequent pooling (e.g., sub-sampling) operations. In some implementations, the input features may be divided into a group of precision values and the operation(s) may be cascaded. A maximum may be identified (e.g., by 90% probability) using a small number of bits in the input features, and the full-precision convolution may then be performed on the maximum input. Accordingly, the total number of bits used to perform the convolution is reduced without affecting the output features or the final classification accuracy.

Abstract: Aspects of the disclosure relate to synthetic regulatory systems composed of a multifunctional Cas nuclease, at least two guide RNAs (gRNAs) configured to target distinct nucleotide sequences, and a multilayered regulatory control element comprising ribozyme-based safety switches providing spatial and temporal control over the synthetic circuit in vivo.

Abstract: Quantifying nanobubbles in solution includes combining an indicator with a fluid comprising nanobubbles to yield a first solution, bursting the nanobubbles in the first solution to yield a second solution, and assessing a difference between the first solution and the second solution to yield a concentration of the nanobubbles in the first solution, a concentration of reactive oxygen species in the first solution or the second solution, or both.

Abstract: An intuitive framework for assembling instructional modules for educational purposes provides integrated programmatic logic to provide learners with agency and increase achievement. The framework enables educators to use content from a learning content database and assemble the content into adaptive learning pathways using a visual drag-and-drop approach combined with the creation of rules to drive adaptivity without requiring programming or coding skills.

Abstract: A compact, low-power, high image rejection sideband separation receiver is provided. The receiver observes an input radio frequency (RF) signal of multiple spectral lines (spectral observation), then downconverts the signals to intermediate frequency (IF), and then separates the signals to be observed simultaneously in multiple channels. An embodiment is used to observe a signal (G-band) with two spectral lines and utilizes a two stage Weaver architecture to downconvert the signal's frequency, including a combination of mixers in the second stage that achieves the separation of two different channels.

Abstract: Various embodiments of systems and methods for attention models with random features for multi-layered graph embeddings are disclosed.

Abstract: A nanocomposite catalyst includes a support, a multiplicity of nanoscale metal oxide clusters coupled to the support, and one or more metal atoms coupled to each of the nanoscale metal oxide clusters. Fabricating a nanocomposite catalyst includes forming nanoscale metal oxide clusters including a first metal on a support, and depositing one or more metal atoms including a second metal on the nanoscale metal oxide clusters. The nanocomposite catalyst is suitable for catalyzing reactions such as CO oxidation, water-gas-shift, reforming of CO2 and methanol, and oxidation of natural gas.

Abstract: A photoacoustic and optical microscopy combiner. The combiner is configured to support a transducer defining an axis. The combiner includes a body including a base and an opening extending through the base, and a glass member at least partially positioned within the opening. The glass member includes a surface positioned at an angle relative to the base and the axis of the transducer. A sample slide is supported on the body and at least partially over the opening. The sample slide is positioned such that a sample on the sample slide is configured to receive light from a laser and redirect the light to an ultrasound transducer to generate a real-time image of a sample.

Abstract: A method of calculating a boundary value of a set of numerical values in a volatile memory comprises storing a set of numerical values in a volatile memory, initializing a comparison vector, initializing a matching vector, transpose-copying a first bit of each of the set of numerical values into a buffer, calculating a result vector, updating the matching vector, repeating the previous steps for each of the bits in the set of numerical values, and returning the matching vector, where the position of each 1 remaining in the matching vector corresponds to an index of the boundary value in the set of numerical values, wherein the computation and the memory storage take place on the same integrated circuit. A system for calculating a boundary value of a set of numerical values is also disclosed.

Abstract: The invention provides compounds having the general formula I: and pharmaceutically acceptable salts thereof, wherein the variables R1, R2, R3, R4, subscipt m and n, have the meaning as described herein, and compositions containing such compounds and methods for using such compounds and compositions.

Abstract: A communications network system is disclosed. The system may include a central processing unit (CPU) in data communication with a first access point (AP) configured to enable a data communication between the CPU and a first user equipment (UE). The CPU may include a processor configured to select a first group of APs including the first AP, establish a first data communications link over a first frequency band between the CPU- and the first AP, cause the first AP to establish a second data communications link over a second frequency band between the first AP and the first UE, and transmit a portion of data to the first AP over the first data communications link. The first data communications link may be a wireless data communications link. The first frequency band may include higher frequency levels than those of the second frequency band.

Abstract: Provided herein are methods of determining binding kinetics of a ligand. In some embodiments, the methods include contacting the ligand with a first surface of a substrate, which first surface comprises an electrically conductive coating and a population of virions connected to the first surface via one or more linker moieties, wherein viral envelopes of the virions display one or more proteins that bind, or are capable of binding, to the ligand, applying an alternating current electric field to the substrate to induce the virions to oscillate proximal to the first surface of the substrate, and detecting changes in oscillation amplitudes of the virions over a duration. Related virion oscillator array devices, systems and computer readable media are also provided.

Abstract: Systems and methods for detecting deceptive intent of a subject include observing eye movements of the subject and correlating the observed movements to known baseline neurophysiological indicators of deception. A detection system may record eye movement data from the subject, compare the eye movement data to a data model comprising threshold eye movement data samples, and from the comparison make a determination whether or not the subject is lying. The detection system may create an alert if deception is detected. The eye movements detected include saccadic and intersaccadic parameters such as intersaccadic drift velocity. Measurements may be collected in situ with a field testing device, such as a non-invasive, non-contact device attached to the subject's computing device and configured to non-obtrusively record the eye movement data.

Abstract: Systems, methods, and apparatuses for implementing a geo-demographic zoning optimization engine are disclosed.

Abstract: A data-driven nonuniform subsampling approach for computation-free on-sensor data dimensionality is provided, referred to herein as selective sensing. Designing an on-sensor data dimensionality reduction scheme for efficient signal sensing has long been a challenging task. Compressive sensing is a generic solution for sensing signals in a compressed format. Although compressive sensing can be directly implemented in the analog domain for specific types of signals, many application scenarios require implementation of data compression in the digital domain. However, the computational complexity involved in digital-domain compressive sensing limits its practical application, especially in resource-constrained sensor devices or high-data-rate sensor devices. Embodiments described herein provide a selective sensing framework that adopts a novel concept of data-driven nonuniform subsampling to reduce the dimensionality of acquired signals while retaining the information of interest in a computation-free fashion.

Abstract: Fabricating a layer including lithium lanthanum zirconate (Li7La3Zr2O12) layer includes forming a slurry including lanthanum zirconate (La2Zr2O7) nanocrystals, a lithium precursor, and a lanthanum precursor in stoichiometric amounts to yield a dispersion including lithium, lanthanum, and zirconium. In some cases, the dispersion includes lithium, lanthanum, and zirconium in a molar ratio of 7:3:2. In certain cases, the slurry includes excess lithium. The slurry is dispensed onto a substrate and dried. The dried slurry is calcined to yield the layer including lithium lanthanum zirconate.

Abstract: Described herein are means for learning semantics-enriched representations via self-discovery, self-classification, and self-restoration in the context of medical imaging. Embodiments include the training of deep models to learn semantically enriched visual representation by self-discovery, self-classification, and self-restoration of the anatomy underneath medical images, resulting in a collection of semantics-enriched pre-trained models, called Semantic Genesis. Other related embodiments are disclosed.

Abstract: A reactor for water splitting or water treatment includes a first electrode, a second electrode electrically coupled to the first electrode, and a proton exchange membrane separating the first electrode and the second electrode. The first electrode includes a first optical fiber coated with a photocatalytic material.

Abstract: A system estimates spectral radius and leverages local updates from neighboring nodes in a wireless network to iteratively update state values of each node in the network and estimate a spectral radius of the network with guaranteed convergence. A method associated with the system method is a distributed method that efficiently converges to an invertible function of the spectral radius based only on local communications of the network for digital communication models in the presence and/or absence of packet loss, as opposed to conventional centralized methods.