Abstract: An ambulatory glucose profile (AGP) intelligent interpretation and insulin adjustment method based on an expert system includes: establishing a knowledge base in an inference mechanism; constructing an interpretation and decision support expert system with a simplified expert system architecture based on the knowledge base; constructing a patient problem analysis tree in three dimensions of hypoglycemia, blood glucose fluctuation, and hyperglycemia of patients; expanding each rule with expert AGP interpretation and empirical data; constructing a basal insulin dosage adjustment rule and a mealtime insulin dosage adjustment rule based on an interval type-2 fuzzy expert system; and adjusting a node of the patient problem analysis tree based on the interpretation and decision support expert system and a group of the patient, and providing a decision suggestion in combination with the basal insulin dosage adjustment rule and the mealtime insulin dosage adjustment rule.

Abstract: A power conversion device includes an input stage from an unregulated power source to a switching circuit that is coupled to a thin film link capacitor. In some embodiments, the link stage permits soft switching. Further, a high frequency transformer may be utilized for management of voltage acquired from the circuit. Thus, a managed voltage may be supplied to an electrical load via a capacitor of reduced size and weight and with improved efficiency and reliability.

Abstract: The present invention provides a compact steel plate continuous quenching machine, which includes a load-bearing steel frame, a support transmission assembly, a water supply mechanism, a first water supply pipeline assembly, a first nozzle assembly, a support steel frame, a lifting mechanism, a movable steel frame, a compression transmission assembly, a second water supply pipeline assembly, a water jacket, a third water supply pipeline assembly, and a second nozzle assembly. By enabling the third water supply pipeline assembly to move within the water jacket to adapt to the height of the movable steel frame, compared to using a metal hose to connect the second nozzle assembly with the second water supply pipeline assembly, the space occupied by the bending of the metal hose can be saved, thereby making the product more compact, reducing the space occupied by the product, and further enhancing the user experience of the product.

Abstract: Me-N—C catalysts, wherein Me can include a transition metal, Mn, Fe, Co, or a combination of metals with Me-INU moieties located at the exterior surface of the Me-N—C catalysts are produced by a chemical vapor deposition synthesis. The synthesis methods can utilize non-solid-contact pyrolysis wherein a metal salt can be vaporized. Gaseous metal from the vaporized metal salt can displace a metal M from the N—C zeolitic imidazolate framework. The non-solid-contact pyrolysis does not mix solid iron precursors (e.g., Me?Mn, Fe, or Co) with the solid N—C zeolitic imidazolate framework precursors during or before the synthesis, which improves the process compared to conventional methods.

Abstract: A method for broadband, high-efficiency spin wave transduction adopts a slow-wave structure to enhance the interaction of electromagnetic waves and spin waves.

Abstract: A machine learning system and method for optimizing a production process. For instance, the method includes several steps as follows: selecting different values for a plurality of input parameters of a digital model of the production process for simulation; running the digital model using the different values for the plurality of input parameters and at least some of real-time data of the production process; determining a plurality of output parameters of the digital model; analyzing the plurality of output parameters; learning an optimized plurality of input parameters corresponding to the plurality of output parameters; and programming the production process to use the optimized plurality of input parameters to run the production process.

Abstract: Described herein is a sensor comprising a doped silicon layer, a graphene layer on the doped silicon layer, a molecularly imprinted polymer (MIP) layer on the graphene layer, and electrodes in operative arrangement with the MIP layer and configured to provide a signal indicative of resistance. The MIP layer is derived from a MIP monomer and functional monomer. Also described herein is a detector comprising a sensor described herein as well as methods of making and using the sensors and detectors, e.g., to detect an analyte, such as a virus.

Abstract: Aspects of the present disclosure describe systems and methods for predicting an intra-aortic pressure of a patient receiving hemodynamic support from a transvalvular micro-axial heart pump. In some implementations, an intra-aortic pressure time series is derived from measurements of a pressure sensor of the transvalvular micro-axial heart pump and a motor speed time series is derived from a measured back electromotive force of a motor of the transvalvular micro-axial heart pump. Furthermore, in some implementations, machine learning algorithms, such as deep learning, are applied to the intra-aortic pressure and motor speed time series to accurately predict an intra-aortic pressure of the patient. In some implementations, the prediction is short-term (e.g., approximately 5 minutes in advance).

Abstract: ADMM-NN is an algorithm-hardware co-optimization framework of DNNs using Alternating Direction Method of Multipliers (ADMM). The first part of ADMM-NN is a systematic, joint framework of DNN weight pruning and quantization using ADMM. The second part is a hardware-aware optimization to facilitate hardware-level implementations. ADMM-based weight pruning and quantization accounts for (i) computation reduction and energy efficiency improvement and (ii) performance overhead due to irregular sparsity. Experimental results demonstrate that by combining weight pruning and quantization, the proposed framework can achieve 1,910× and 231× reductions in the overall model size on the LeNet-5 and AlexNet models. Favorable results are also observed on VGGNet and ResNet models. Also, without any accuracy loss, 3.6× reduction in the amount of computation can be achieved, outperforming prior work.

Abstract: Described is a new family of fiber-reinforced composites/mechanical metamaterials with negative Poisson's ratio.

Abstract: Provided are an ultra-large bottom opening and closing type three-dimensional loading apparatus and a test method. The apparatus comprises a horizontal reaction frame, a vertical reaction frame, a sample bearing lifting walking beam, lifting cylinders, a reaction support pad beam, array type actuator groups, and a linear array dynamic actuator group. The vertical reaction frame adopts a pre-stressed assembly structure, and the horizontal reaction frame adopts a longitudinal multi-group single-beam circumferential T-shaped scarfed high-strength pre-stressed steel wire winding assembly structure, which meets a high stiffness design requirement of a three-dimensional loading apparatus.

Abstract: Disclosed are methods for increasing the fertilization rate of an oocyte in a granulosa cell-oocyte complex, and/or the success rate of in-vitro fertilization by using mitochondrial therapies. Also disclosed are methods of identifying compounds for fertility treatment.

Abstract: Wireless power transfer (WPT) efficiency is enhanced using an ultra-low power (ULP) distributed beamforming technique. A phase and frequency offset correction technique is used for beam-forming optimization, a backscattering communication technique is used to reduce power over-head, and a new rectifier and MPT method is used for high efficiency RF-to-DC conversion.

Abstract: Testing methods for evaluating visual and neurological functions of a human or animal subject that involve conscious perception. The tests include a training phase, a practice phase, and a visual rivalry phase for detecting binocular rivalry or multistate competition. The design of the testing methods offers simple, rapidly administered, nonverbal visual testing with high time resolution and access to changing conscious perceptual states of the test subject. The methods also make possible the collection of a large amount of data in a short time for analysis of the subjects visual function and brain function, and can be used in the diagnosis of many medical conditions.

Abstract: Provided is a method for judging geology of a time-delayed extremely intense rockburst as to deep tunnel engineering. Information about geological structures is recorded according to methods such as geological mapping and advanced geological prediction of the tunnel face. Geometric characteristics of burst craters formed during the rockburst are recorded by utilizing advanced geological drilling and profile scanning technologies in a rockburst-damaged zone. 3D geostress in the rockburst-damaged zone is measured by using a stress relief method or a hydraulic fracturing method to determine the orientation of the maximum principal stress. A 3D numerical calculation model is established based on initial geostress testing results and physical and mechanical parameters of rock and structural discontinuities obtained through on-site geological investigations.

Abstract: Methods and systems for generating drug repurposing predictions for a disease caused by a pathogen, such as a novel pathogen, are provided. A multi-modal system includes a protein-protein interaction network (PPI), a graph neural network (GNN), a diffusion module, a proximity module, and an aggregation module. The GNN is configured to predict new edges between candidate drug nodes and disease nodes in an embedded representation of the PPI to produce a decoded embedding space. The diffusion module is configured to determine a proximity distance for pairs of nodes in the PPI, and the proximity module is configured to determine a proximity distance for pairs of nodes in the PPI, each pair comprising a pathogen-protein node and a drug-protein node. A ranked list of candidate drugs predicted to be effective in treatment of the disease based on candidate drug lists generated by the other modules is generated by the aggregation module.

Abstract: Methods, systems, and computer products are presented herein for generating a clock signal using an on-chip ultra-low power (ULP) RC oscillator. An on-chip ultra-low power (ULP) RC oscillator comprises a first comparator, a second comparator, and a flip flop. The first comparator comprises a first input electrically coupled to a first bias voltage generation circuit and a second input electrically coupled to a first capacitor circuit. Each of the first bias voltage and the second bias voltage directly varies with a thermal voltage. A flip-flop is electrically coupled to the first comparator and the second comparator. The flip-flop is configured to generate a clock signal based on the first and the second comparator output signals.

Abstract: A method is disclosed for producing a plasmonic-nanostructure spectrally selective solar absorber having high solar absorptance, low thermal emittance, and superior thermal stability. The method includes the steps of providing an alloy structure containing a base metal and a copper alloying impurity, wherein copper has a weight percent concentration in the alloy of at least 0.25%; and applying an alkaline solution to a surface of the alloy structure to selectively dissolve base metal elements at the surface resulting in fabrication of sponge-like copper nanostructures on the surface configured to scatter, trap, and absorb light in solar wavelengths.

Abstract: Tellurium (Te) nanostructures are synthesized using green aloe vera chemistry methods, and the synthesized Te nanostructures provide methods of inhibiting bacterial cells and cancer cells without cytotoxicity towards normal cells. The aloe vera chemistry methods for synthesizing Te nanostructures do not produce toxic byproducts and do not require toxic reagents in comparison to traditional chemical synthetic methods for making Te nanostructures.

Abstract: A quantitative, ultrashort time to echo, contrast-enhanced magnetic resonance imaging technique is provided. The technique can be used to accurately measure contrast agent concentration in the blood, to provide clear, high-definition angiograms, and to measure absolute quantities of cerebral blood volume on a voxel-by-voxel basis.