Abstract: Large intelligent surfaces (LISs) with sparse channel sensors are provided. Embodiments described herein provide efficient solutions for these problems by leveraging tools from compressive sensing and deep learning. Consequently, an LIS architecture based on sparse channel sensors is provided where all LIS elements are passive reconfigurable elements except for a few elements that are active (e.g., connected to baseband). Two solutions are developed that design LIS reflection matrices with negligible training overhead. First, compressive sensing tools are leveraged to construct channels at all the LIS elements from the channels seen only at the active elements. These full channels can then be used to design the LIS reflection matrices with no training overhead.

Abstract: Provided herein are synthetic nucleic acid molecules known as loop-mediated riboregulators that have single-nucleotide polymorphism (SNP) sensitivity and ultralow OFF state signal levels. Loop-mediated riboregulators can activate or repress gene expression in response to trigger RNAs bearing completely arbitrary sequences. Also provided herein are methods of using such synthetic nucleic acid molecules for detecting the presence or absence of a particular target RNA in, for example, a biological sample.

Abstract: A method for producing and recycling a crosslinked photopolymer is disclosed. The method includes mixing reactive thiols, multifunctional alkenes, and a photoinitiator to create a homogeneous mixture that is crosslinked through exposure to light. The method also includes decrosslinking the crosslinked photopolymer through base-catalyzed thiol-disulfide exchange reactions by mixing the crosslinked photopolymer with a reactive thiol, a base catalyst, and a solvent to create a decrosslinked material including recycled thiol oligomers which are reactive. The method further includes removing the base catalyst and the solvent and recrosslinking the recycled thiol oligomers by mixing stoichiometric amounts of the recycled thiol oligomers and a reactive alkene such that a molar ratio between thiol end groups and ene end groups is maintained at 1:1. The method includes adding a photoinitiator and mixing to create a homogeneous mixture, and recrosslinking the homogeneous mixture through exposure to light.

Abstract: A machine-learning framework for multi-fidelity modeling provides three components: multi-fidelity data compiling, multi-fidelity perceptive field and convolution, and deep neural network for mapping. This framework captures and utilizes implicit relationships between any high-fidelity datum and all available low-fidelity data using a defined local perceptive field and convolution. First, the framework treats multi-fidelity data as image data and processes them using a CNN, which is very scalable to high dimensional data with more than two fidelities. Second, the flexibility of nonlinear mapping facilitates the multi-fidelity aggregation and does not need to assume specific relationships among multiple fidelities. Third, the framework does not assume that multi-fidelity data are at the same order or from the same physical mechanisms (e.g., assumptions are needed for some error estimation-based multi-fidelity model).

Abstract: A dynamic nanophotonic filter and method for tuning and fabricating the same is disclosed. The filter includes a transparent substrate, a first layer of thermochromic VO2 deposed on the substrate with a first thickness, a spacer layer having a spacer thickness and composed of a dielectric material deposed on the first layer, and a second layer of thermochromic VO2 deposed on the spacer layer such that the spacer layer is sandwiched between the second and first layer. The dynamic nanophotonic filter changes between a semi-transparent state and an opaque state based on temperature. The semi-transparent state includes the first and second layers being insulating. The opaque state includes the first layer and the second layer both being metallic. The first thickness, the second thickness, and the spacer thickness are chosen to tune how the dynamic nanophotonic filter behaves in the semi-transparent state and the opaque states.

Abstract: Dynamic additive attention adaption for memory-efficient multi-domain on-device learning is provided. Almost all conventional methods for multi-domain learning in deep neural networks (DNNs) only focus on improving accuracy with minimal parameter update, while ignoring high computing and memory cost during training. This makes it difficult to deploy multi-domain learning into resource-limited edge devices, like mobile phones, internet-of-things (IoT) devices, embedded systems, and so on. To reduce training memory usage, while keeping the domain adaption accuracy performance, Dynamic Additive Attention Adaption (DA3) is proposed as a novel memory-efficient on-device multi-domain learning approach. Embodiments of DA3 learn a novel additive attention adaptor module, while freezing the weights of the pre-trained backbone model for each domain.

Abstract: A light emitting device includes a first electrode, a hole transporting layer in contact with the first electrode, a second electrode, an electron transporting layer in contact with the second electrode; and an emissive layer between the hole transporting layer and the electron transporting layer. The emissive layer includes a metal-assisted delayed fluorescent (MADF) emitter, a fluorescent emitter, and a host, and the MADF emitter harvests electrogenerated excitons and transfers energy to the fluorescent emitter.

Abstract: A method includes accelerating an electron bunch along a direction of propagation to a relativistic energy and partitioning the electron bunch by transmitting the electron bunch through a grating at the relativistic energy. The grating includes a plurality of alternating narrow portions and wide portions. The narrow portions have a first thickness in a direction substantially parallel to the direction of propagation of the electron bunch, and the wide portions have a second thickness in the direction substantially parallel to the direction of propagation of the electron bunch. The second thickness is greater than the first thickness. The method also includes generating a pulse of light using the partitioned electron bunch.

Abstract: A system with an analyzer device in fluid communication with a sample of a bodily fluid is configured to chemically or electrochemically convert at least a portion of ammonium (NH4+) contained within the bodily fluid into ammonia (NH3) and dispel the converted ammonia (NH3) into a gas sensing chamber. An ammonia (NH3) sensor located within the gas sensing chamber in conjunction with a processor can quantify an amount of ammonia (NH3) present in the gas sensing chamber in relation to the total ammonia of the bodily fluid.

Abstract: A selective metamaterial absorber and method for fabricating the same is disclosed. The method includes deposing a first metal layer on a first surface of a substrate and on a plurality of nanowires extending outward from the first surface of the substrate, the plurality of nanowires forming an array on the first surface, the substrate further including a second surface opposite the first surface. The first metal layer may be deposed using conformally sputtering. The substrate and the plurality of nanowires may be composed of silicon, and the first metal layer may be composed of tungsten. The first metal layer may be composed of a material having a penetration depth for a wavelength range of interest. The first metal layer may be at least three times thicker than the penetration depth.

Abstract: Provided herein are imaging probes and systems and methods employing such imaging probes for real-time, label-free, multiplexed imaging of RNAs in living cells. More particularly, aptamer-based sensors (“aptasensors”) and molecular fuses comprising multiple aptasensors are genetically encoded imaging probes comprising RNA-target binding sequence and an intramolecular reconfiguration sequence. The probe is configured such that binding of a RNA target by the RNA-target binding sequence triggers the intramolecular reconfiguration sequence to reconfigure such that an optically detectable output is generated by the probe.

Abstract: Various embodiments of a variable geometry quadrotor with a compliant frame are disclosed, which adapts to tight spaces and obstacles by way of passive rotation of its arms.

Abstract: The disclosure provides a system, compositions, and methods for detecting ovarian cancer cells by photoacoustic flow cytometry.

Abstract: A unique pipeline is employed for biomarker discovery that entailed domain antibody phage display, next generation sequencing analysis, and nanotechnology strategies to generate antibody mimetics are disclosed. Also disclosed are the temporal biomarkers of traumatic brain injury and their methods of use. In some embodiments, the temporal biomarkers are synthetic peptides comprising the HCDR3 sequences identified using the disclosed pipeline. In some aspects, the synthetic peptides have less than 30 amino acid residues and comprise a biotin scaffold that is linked to the HCDR3 sequences.

Abstract: Provided herein are methods of estimating subject-specific parameters of growth dynamics of a cancer tumor in a subject having cancer. The methods can be used to personalize treatment protocols for a subject, stage the given disease in the subject, measure response to therapy, phenotype for patient selection to participate in drug trials, measure stability of an anatomical structure, or predict rate of change of the given disease. Also provided are methods of predicting growth dynamics of a cancer tumor, and computer systems and computer-implemented methods for estimating subject-specific parameters of growth dynamics of a cancer tumor in a subject having cancer.

Abstract: A high-performance computing (HPC) framework for accelerating sparse Cholesky factorization on field-programmable gate arrays (FPGAs) is provided. The proposed framework includes an FPGA kernel implementing a throughput-optimized hardware architecture for accelerating a supernodal multifrontal algorithm for sparse Cholesky factorization. The proposed framework further includes a host program implementing a novel scheduling algorithm for finding the optimal execution order of supernode computations for an elimination tree on the FPGA to eliminate the need for off-chip memory access for storing intermediate results. Moreover, the proposed scheduling algorithm minimizes on-chip memory requirements for buffering intermediate results by resolving the dependency of parent nodes in an elimination tree through temporal parallelism.

Abstract: The invention provides compounds formula (I) and salts thereof: wherein R1-R2 have any of the values defined in the specification. The compounds are useful for treating conditions including Alzheimer? s disease, Parkinson’s disease, diabetes, cancer, inflammation, hyperresponsiveness, allergic conditions, asthma, and psychotic disorders such as schizophrenia. The compounds are also useful to lower IL-4, IL-5, or IL-15 levels in an animal.

Abstract: A system and associated methods/processes includes a sensor operable to capture sensor data indicative of a gesture; and a processor in communication with a memory and the sensor. The processor is configured to execute instructions stored in the memory, which, when executed, cause the processor to access the sensor data and decompose the gesture into a canonical gesture form defining a string of gesture components arranged in a spatio-temporal order.

Abstract: Detecting abnormalities in vital signs of subjects of videos is provided. Aspects of the present disclosure include methods, apparatuses, and systems to detect and measure vital sign information of one or more human subjects of a video and detect abnormalities in the vital sign information. In some examples, such abnormalities can be used to indicate video data is likely altered or fraudulent. In this regard, imaging photophlethysmography (IPPG) and advanced signal processing techniques, including adaptive color beamforming, can be used to extract the vital signs of the video subjects.

Abstract: Organic light emitting devices (OLEDs) are described, the OLEDs comprising an anode; a cathode; and an organic region, disposed between the anode and the cathode, comprising a first complex and a second complex; wherein when a voltage is applied across the anode and cathode at room temperature, the OLED emits a luminescent radiation that comprises one or more luminescent radiation components resulting from the formation of at least one exciplex; wherein the exciplex is formed by at least one of the following aggregate types: 1) at least one aggregate within the first complex, and at least one aggregate within the second complex; 2) at least one aggregate between the first and the second complex; and 3) both 1 and 2.