Abstract: A semiconductor substrate that is used as an underlying substrate for epitaxial crystal growth carried out by the HVPE method includes a ?-Ga2O3-based single crystal, and a principal plane that is a plane parallel to a [100] axis of the ?-Ga2O3-based single crystal. An epitaxial wafer includes the semiconductor substrate, and an epitaxial layer including a ?-Ga2O3-based single crystal and formed on the principal plane of the semiconductor substrate by epitaxial crystal growth using the HVPE method. A method for producing an epitaxial wafer includes by using the HVPE method, epitaxially growing an epitaxial layer including a ?-Ga2O3-based single crystal on a semiconductor substrate that includes a ?-Ga2O3-based single crystal and has a principal plane parallel to a [100] axis of the ?-Ga2O3-based single crystal.

Abstract: Exosomes carry microRNA biomarkers, occur in higher abundance in cancerous patients than in healthy ones, and because they are present in most biofluids, including blood and urine, can be obtained non-invasively. Standard laboratory techniques to isolate exosomes are expensive, time-consuming, provide poor purity, and recover on the order of 25% of the available exosomes. We present a new microfluidic technique to simultaneously isolate exosomes and preconcentrate them by electrophoresis using a high transverse local electric field generated by ion-depleting ion-selective membrane. We use pressure-driven flow to deliver an exosome sample to a microfluidic chip such that the transverse electric field forces them out of the cross flow and into an agarose gel which filters out unwanted cellular debris while the ion-selective membrane concentrates the exosomes through an enrichment effect. We efficiently isolated exosomes from 1×PBS buffer, cell culture media and blood serum.

Abstract: A data recovery method framework is described, in which the data is classified as either ambient or disturbance data, and recovered by different methods to achieve good performance efficiently. An approach based on decision tree is described for identifying ambient and disturbance data. Then, an improved cubic spline interpolation based on the priority allocation strategy is described for ambient data loss, which can quickly and accurately recover ambient data. Simultaneously, a disturbance data recovery method based on singular value decomposition is described. It can achieve disturbance data recovery accurately by a single channel of measurement.

Abstract: A recording device comprising an overcoat layer, wherein the overcoat layer comprises an amorphous carbon overcoat layer having a crystallinity (C)?0.8.

Abstract: An image processing method, comprising: acquiring, by a CT scanning system, projection data of an object; and processing, by using a convolutional neural network, the projection data, to acquire an estimated image of the object. The convolutional neural network comprises: a projection domain network for processing input projection data to obtain estimated projection data; an analytical reconstruction network layer for performing analytical reconstruction to obtain a reconstructed image; an image domain network for processing the reconstructed image to obtain an estimated image, a projection layer for performing a projection operation by using a system projection matrix of the CT scanning system, to obtain a projection result of the estimated image; and a statistical model layer for determining consistency among the input projection data, the estimated projection data, and the projection result of the estimated image based on a statistical model.

Abstract: The present disclosure describes various systems and methods for measuring environmental parameters. In one embodiment, such as system comprises a pole that is equipped with various instruments (sensors) at various heights along the length of the pole. With such an instrumented pole, a local vertical profile of parameters that relate to wind conditions and air quality can be obtained. These parameters can include one or more of wind speed and direction, air turbulence, air temperature and humidity, concentrations of pollutant gases within the air, and concentrations of pollutant particles within the air. In some embodiments, the system can further measure other parameters that are relevant to the migration of the air and, therefore, the pollutants it contains.

Abstract: A method for extending and enhancing bright coherent high-order harmonic generation into the VUV-EUV-X-ray regions of the spectrum involves a way of accomplishing phase matching or effective phase matching of extreme upconversion of laser light at high conversion efficiency, approaching 10?3 in some spectral regions, and at significantly higher photon energies in a waveguide geometry, in a self-guiding geometry, a gas cell, or a loosely focusing geometry, containing nonlinear medium. The extension and enhancement of the coherent VUV, EUV, X-ray emission to high photon energies relies on using VUV-UV-VIS lasers of shorter wavelength. This leads to enhancement of macroscopic phase matching parameters due to stronger contribution of linear and nonlinear dispersion of both atoms and ions, combined with a strong microscopic single-atom yield.

Abstract: Real-world data may not be sparse in a fixed basis, and current high-performance recovery algorithms are slow to converge, which limits compressive sensing (CS) to either non-real-time applications or scenarios where massive back-end computing is available. Presented herein are embodiments for improving CS by developing a new signal recovery framework that uses a deep convolutional neural network (CNN) to learn the inverse transformation from measurement signals. When trained on a set of representative images, the network learns both a representation for the signals and an inverse map approximating a greedy or convex recovery algorithm. Implementations on real data indicate that some embodiments closely approximate the solution produced by state-of-the-art CS recovery algorithms, yet are hundreds of times faster in run time.

Abstract: An embodiment includes a Class C fly ash (CFA) cementitious composition with a controllable setting time comprising at least one Class C fly ash; at least one alkali hydroxide; at least one source of phosphate; and water. Alternate embodiments include a Class C fly ash (CFA) cementitious composition with a solid activator comprising at least one Class C fly ash; at least one alkali carbonate; at least one source of phosphate; and water.

Abstract: Embodiments of the invention stimulate three levels of beta cell physiology: (i) glucose metabolism, (ii) membrane receptor function, and (iii) transcriptional factors that result in the in vivo formation of beta cells in the pancreas for the purpose of treating diabetes.

Abstract: The present disclosure provides a method of generating a control signal to control a motion of a robot arm device by a brain-computer interface (BCI) apparatus and the BCI apparatus.

Abstract: A method, performed at a transmitter, for increasing communication link distance and reliability in a communication channel or dual function radar communication system, is provided. The method includes calculating an information sequence, indices of non-zero elements and corresponding values in the sequence indicating information bits to be transmitted; shaping a Discrete Fourier Transform (DFT) of the information sequence by special frequency-domain spectral shaping (FDSS) in the frequency domain to form a frequency-domain representation of chirp signals; mapping the shaped sequence to orthogonal frequency division multiplexing (OFDM) subcarriers; performing an inverse DFT of the mapped shaped sequence to form chirp signals to be transmitted; and transmitting the chirp signals with a cycle prefix (CP).

Abstract: The present disclosure provides a DNA-targeting RNA that comprises a targeting sequence and, together with a modifying polypeptide, provides for site-specific modification of a target DNA and/or a polypeptide associated with the target DNA. The present disclosure further provides site-specific modifying polypeptides. The present disclosure further provides methods of site-specific modification of a target DNA and/or a polypeptide associated with the target DNA The present disclosure provides methods of modulating transcription of a target nucleic acid in a target cell, generally involving contacting the target nucleic acid with an enzymatically inactive Cas9 polypeptide and a DNA-targeting RNA. Kits and compositions for carrying out the methods are also provided. The present disclosure provides genetically modified cells that produce Cas9; and Cas9 transgenic non-human multicellular organisms.

Abstract: Various exemplary photoreactions can be provided, including reactions generally based on triplet-triplet annihilation upconversion. Representative photosensitizers include PdPc(OBu)8 and PtTPTNP. Representative annihilators include FDPP and TTBP. Such exemplary photoreactions, systems and methods may be used in a variety of applications, including various biological or physical applications. Exemplary methods can also be provided for making or using such systems, photoreactions, kits including such systems, or the like.

Abstract: A method for comprehensively processing noble lead provided and utilizes two instances of vacuum distillation to realize an open circuit of arsenic, lead, antimony and bismuth and the high-efficiency enrichment of precious metals of gold and silver, and can obtain elemental arsenic, a lead-bismuth-antimony alloy, a silver alloy and a copper alloy, respectively. The lead-bismuth-antimony alloy, the silver alloy and the copper alloy are processed by oxidation refining, electrorefining and chlorination refining to obtain refined lead, refined antimony, antimony trioxide, electrolytic silver and electrolytic copper, and to realize gold enrichment. The entire process has advantages of high metal direct yield, low energy consumption, short flow chart, simple equipment, etc., and vacuum distillation belongs to a physical process in which the alloy can be separated only by means of the difference in saturated vapor pressure between the metals, without generation of wastewater, waste gas and waste residue.

Abstract: A core-shell structure nanosheet includes a metal ruthenium nanosheet, and a platinum atomic layer provided on a surface of the metal ruthenium nanosheet. An electrocatalyst includes carbon, and the core shell structure nanosheet supported on the carbon. A method for manufacturing an electrocatalyst includes applying a ruthenium oxide nanosheet colloid which comprises a ruthenium oxide nanosheet, on carbon to obtain a carbon-supported ruthenium oxide nanosheet, in which the ruthenium oxide nanosheet is supported on the carbon. The carbon-supported ruthenium oxide nanosheet is reduced to obtain a carbon-supported ruthenium metal nanosheet, in which a ruthenium metal nanosheet is supported on the carbon. A platinum atomic layer is provided on a surface of the metal ruthenium nanosheet to obtain the electrocatalyst.

Abstract: A method of forming polymer composites includes mixing a transition metal oxide precursor including at least one transition metal, a polymer as a binder, a solvent for the polymer, and water to form a first solution including polymer-transition metal complexes. The polymer-transition metal complexes are hydrolyzed to produce a plurality of transition metal oxide nanoparticles, wherein water is added in the mixing in a stoichiometric excess for the hydrolyzing. The solvent and residual of the water remaining after the hydrolyzing are removed. A polymer composite including the transition metal oxide nanoparticles dispersed in the polymer results after the removing, where some of the polymer is chemically conjugated to a surface of the transition metal oxide nanoparticles.

Abstract: A conductive nanocomposite which contains a mixed polymer matrix which contains a rubber and a polyether, carbon nanoparticles, and transition metal nanoparticles. The conductive nanocomposite has a nonlinear relationship between resistivity and temperature characterized by an exponential increase reaching a peak resistivity followed by an exponential decrease as temperature increases. Also disclosed is a method of forming the conductive nanocomposite involving mixing the components, aging, and pressing. The conductive nanocomposite forms a component of a heater that is self-regulating as a result of the nonlinear relationship between resistivity and temperature of the conductive nanocomposite. The nanocomposite also forms a component of a thermistor.

Abstract: Di (2-Aryl Hydrazonopropanal) arene derivatives are provided. The compounds exhibit high levels of toxicity against e.g. human colon cancer cells and are used to treat cancer.

Abstract: The nonlinearity of power amplifiers (PAs) has been a severe constraint in performance of modern wireless transceivers. This problem is even more challenging for the fifth generation (5G) cellular system since 5G signals have extremely high peak to average power ratio. Nonlinear equalizers that exploit both deep neural networks (DNNs) and Volterra series models are provided to mitigate PA nonlinear distortions. The DNN equalizer architecture consists of multiple convolutional layers. The input features are designed according to the Volterra series model of nonlinear PAs. This enables the DNN equalizer to effectively mitigate nonlinear PA distortions while avoiding over-fitting under limited training data. The non-linear equalizers demonstrate superior performance over conventional nonlinear equalization approaches.