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: 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 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: 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.

Abstract: Various embodiments of a system and associated method for audio source separation based on generative priors trained on individual sources. Through the use of projected gradient descent optimization, the present approach simultaneously searches in the source-specific latent spaces to effectively recover the constituent sources. Though the generative priors can be defined in the time domain directly, it was found that using spectral domain loss functions leads to good-quality source estimates.

Abstract: A vital sign monitoring system using an optical sensor is provided. The vital sign monitoring system, and related methods and devices described herein, is equipped with a camera or other optical sensor to remotely detect and measure one or more physiological parameters (e.g., vital signs) of a subject. For example, the vital sign monitoring system can detect, measure, and/or monitor heart rates and respiration rates from one or multiple subjects simultaneously using advanced signal processing techniques, including adaptive color beamforming to more accurately detect and measure the vital sign(s) of interest.

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: A compression ratio (CR) adapter (CRA) for end-to-end data-driven compressive sensing (CS) reconstruction (EDCSR) frameworks is provided. EDCSR frameworks achieve state-of-the-art reconstruction performance in terms of reconstruction speed and accuracy for images and other signals. However, existing EDCSR frameworks cannot adapt to a variable CR. For applications that desire a variable CR, existing EDCSR frameworks must be trained from scratch at each CR, which is computationally costly and time-consuming. Embodiments described herein present a CRA framework that addresses the variable CR problem generally for existing and future EDCSR frameworks with no modification to given reconstruction models nor enormous additional rounds of training needed. The CRA exploits an initial reconstruction network to generate an initial estimate of reconstruction results based on a small portion of acquired image measurements.

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.