Abstract: Qubit devices require fast operation, long coherence, and large scalability to be viable for implementation in quantum computing systems. A qubit platform device having long coherence, scalability, and fast operation includes a substrate, or trap region, configured to structurally support solid neon thereon. A trap electrode is configured to provide a trap voltage to the trap region and which creates a confining electrical field to a confining region adjacent to the trap region. The confining region being a region of space to confine an electron therein, confining the electron against the solid neon. First and second sets of guard electrodes are configured to provide variable electric potentials to first and second guard regions to allow for trapping and manipulation of a single electron in the confining region.

Abstract: The present application provides a universal quantum secure device and methods of sending and receiving data. A quantum encryption and decryption module can realize quantum encryption and decryption of data requiring quantum encryption service, thereby ensuring that data sent and received by the universal quantum secure device from a conventional network are transmitted in ciphertext form. An isolation module can realize isolation between the communication module and each of the quantum encryption and decryption module and a privacy module, so that security of the privacy module and security of the quantum encryption and decryption module are protected from being affected by data received by the communication module from external network. Since the privacy module does not communicate with external network, and encryption and decryption of the data can only be carried out in the quantum encryption and decryption module of the universal quantum secure device, improving data security.

Abstract: Embodiments of the present disclosure include a system for optimizing an artificial neural network by configuring a model, based on a plurality of training parameters, to execute a training process, monitoring a plurality of statistics produced upon execution of the training process, and adjusting one or more of the training parameters, based on one or more of the statistics, to maintain at least one of the statistics within a predetermined range. In some embodiments, artificial intelligence (AI) processors may execute a training process on a model, the training process having an associated set of training parameters. Execution of the training process may produce a plurality of statistics. Control processor(s) coupled to the AI processor(s) may receive the statistics, and in accordance therewith, adjust one or more of the training parameters to maintain at least one of the statistics within a predetermined range during execution of the training process.

Abstract: Disclosed is a chip-level disc-type acousto-optic standing wave gyroscope including a substrate and a gyroscope structure placed on an upper surface of the substrate; the substrate is in a shape of a circular disc; the gyroscope structure includes an acoustic wave drive module and an optical detection module, the acoustic wave drive module is arranged in a circular shape taking the center of the circular disc as an origin and extending outward radially, and the optical detection module is arranged in the middle of the acoustic wave drive module and is annular; the acoustic wave drive module includes an annular interdigitated transducer, a metal electrode layer group uniformly sputtered on the annular interdigitated transducer, annularly arranged metallic pillars and an annular reflection grating, respectively placed in sequence from center of the disk radially to periphery of the disk; the optical detection module includes a first grating coupler, an optical waveguide at a light source input end, a first coup

Abstract: The present invention provides a built-in ripple injection circuit and a control chip, in which a divided feedback voltage is obtained by division of an output voltage by a feedback circuit, and high-frequency ripple in the output voltage is obtained by an operational amplifier and a first capacitor. Moreover, the high-frequency ripple is injected at a third terminal of a source follower. As a result, the feedback voltage is a superimposition of the divided feedback voltage with the high-frequency ripple. This can enhance stability and interference resilience of a power supply system operating in a ripple-based COT control mode. Further, the built-in ripple circuit can be integrated in the control chip. This dispenses with the use of a large capacitor and satisfactorily addresses applications requiring on-chip integration of the feedback circuit, reducing the cost of the power supply system.

Abstract: Qubit devices require fast operation, long coherence, and large scalability to be viable for implementation in quantum computing systems. A qubit platform device having long coherence, scalability, and fast operation includes a substrate, or trap region, configured to structurally support solid neon thereon. A trap electrode is configured to provide a trap voltage to the trap region and which creates a confining electrical field to a confining region adjacent to the trap region. The confining region being a region of space to confine an electron therein, confining the electron against the solid neon. First and second sets of guard electrodes are configured to provide variable electric potentials to first and second guard regions to allow for trapping and manipulation of a single electron in the confining region.

Abstract: Methods, systems, and computer-readable storage media for receiving a workload period, during which a workload is applied to a database system, providing a set of ML models based on historical data representative of historical executions of the workload over the workload period, each ML model configured to predict a cluster arrival rate curve (cARC), and during execution of the workload period and, for each timeslice of a plurality of timeslice of the workload period: providing a predicted cARC from each ML model, the predicted cARC representative of a predicted workload, determining column visiting times for each of a plurality of columns of each of a plurality of tables stored in the database system, generating a column list based on the column visiting times, and loading column data representative of columns included in the column list into low-latency memory prior to execution of a workload during the respective timeslice.

Abstract: Method for confirming ownership of digital assets based on hash algorithm and method for tracing to a source of digital assets based on hash algorithm are provided. Entities involved in confirming the ownership of digital assets include an original user, a CA authentication center and a digital asset authentication center. The process of confirming the ownership includes generating a one-time CA certificate by the original user, authenticating the digital assets by the digital asset authorization center and the original user, generating an ownership confirming document by the original user, creating a quantum digital signature by a three-party, and the like. The method for tracing includes generating subsidiary documents in real time, constructing a unique identity for a digital asset at an accessing moment, traceability analysis, and so on.

Abstract: Systems and methods, for selecting a neural network for a machine learning (ML) problem, are disclosed. A method includes accessing an input matrix, and accessing an ML problem space associated with an ML problem and multiple untrained candidate neural networks for solving the ML problem. The method includes computing, for each untrained candidate neural network, at least one expressivity measure capturing an expressivity of the candidate neural network with respect to the ML problem. The method includes computing, for each untrained candidate neural network, at least one trainability measure capturing a trainability of the candidate neural network with respect to the ML problem. The method includes selecting, based on the at least one expressivity measure and the at least one trainability measure, at least one candidate neural network for solving the ML problem. The method includes providing an output representing the selected at least one candidate neural network.

Abstract: Systems and methods for selecting a neural network for a machine learning problem are disclosed. A method includes accessing an input matrix. The method includes accessing a machine learning problem space associated with a machine learning problem and multiple untrained candidate neural networks for solving the machine learning problem. The method includes computing, for each untrained candidate neural network, at least one expressivity measure capturing an expressivity of the candidate neural network with respect to the machine learning problem. The method includes computing, for each untrained candidate neural network, at least one trainability measure capturing a trainability of the candidate neural network with respect to the machine learning problem. The method includes selecting, based on the at least one expressivity measure and the at least one trainability measure, at least one candidate neural network for solving the machine learning problem.

Abstract: A deep neural network-based method for detecting living cell morphology may include identifying and locating one or more living cells within an acquired image to be detected by using a deep neural network-based target detection model, so as to extract one or more living single cell images. segmenting the image of the one or more living single cells by using a deep neural network-based cell segmentation model, so as to obtain one or more feature part of the one or more living single cells. and analyzing and determining a morphological parameter of the one or more living single cells based on the one or more feature parts. Thus, the activity of the detected cells can be ensured, and a non-destructive, accurate, and rapid detection of living cell morphology can be achieved.

Abstract: The present disclosure provides a preparation method for hydrothermal synthesis of fly ash silicate aggregate including: mixing sodium metasilicate, potassium hydroxide, and inorganic-organic hybrid excitation monomer as raw materials to obtain an inorganic-organic composite activator; preparing a silicate aggregate raw material, mixing measured fly ash, carbide slag, quicklime, and vitrified micro bubble by mass, adding the inorganic-organic composite activator and continue stirring to produce a mixture; forming a ball disc, wetting an expanded perlite that forms a core of the ball by spraying water, adding a prepared mixture, spraying water while adding, standing and curing, performing a maturation and activation treatment in an autoclave, undergoing a silicon calcium reaction for a hydrothermal synthesis to obtain the silicate aggregates.

Abstract: The present invention belongs to the technical field of biomedicine, and mainly relates to a miR-7-5p mimic for inhibiting migration and invasion of breast cancer, a screening method and an application thereof. The sequence of the miR-7-5p is shown in SEQ ID NO.1. The present invention has found that the miR-7-5p mimic generates a significant inhibitory effect on breast cancer through targeted inhibition of the molecular mechanism of RYK. In vitro culture system, the miR-7-5p mimic can function to inhibit migration and invasion capabilities of breast cancer. The miR-7-5p mimic can inhibit RYK protein and mRNA levels in breast cancer. In nude mice, the miR-7-5p mimic can also significantly inhibit migration and invasion capabilities of breast cancer. Therefore, the present invention demonstrates that the miR-7-5p mimic can be a small-nucleic-acid drug to significantly inhibit breast cancer metastasis.

Abstract: Disclosed is a chip-level disc-type acousto-optic standing wave gyroscope including a substrate and a gyroscope structure placed on an upper surface of the substrate; the substrate is in a shape of a circular disc; the gyroscope structure includes an acoustic wave drive module and an optical detection module, the acoustic wave drive module is arranged in a circular shape taking the center of the circular disc as an origin and extending outward radially, and the optical detection module is arranged in the middle of the acoustic wave drive module and is annular; the acoustic wave drive module includes an annular interdigitated transducer, a metal electrode layer group uniformly sputtered on the annular interdigitated transducer, annularly arranged metallic pillars and an annular reflection grating, respectively placed in sequence from center of the disk radially to periphery of the disk; the optical detection module includes a first grating coupler, an optical waveguide at a light source input end, a first coup

Abstract: In accordance with the purpose(s) of the present disclosure, as embodied and broadly described herein, the disclosure, in one aspect, relates to compound Bi-poor perovskite crystals, methods for making the same, and ionizing and other electromagnetic radiation detectors constructed using the Bi-poor perovskite crystals. The Bi-poor perovskite crystals can be synthesized using melt-based growth methods and solution-based growth methods and contain no toxic heavy metals such as lead, cadmium, thallium, or mercury. Devices fabricated from the crystals maintain acceptable levels of performance over time. In some aspects, post-growth annealing can be used to improve the properties, including, but not limited to, room temperature resistivity and response to radiation.

Abstract: The present disclosure belongs to the technical field of biomedicine, and in particular relates to a graphene oxide (GO)-based composite nanoparticle drug delivery system for treating cervical cancer and a preparation method thereof. The composite nanoparticle drug delivery system includes an aptamer NH2-AS1411 (Aptamer NH2-AS1411, APT), monolayer graphene oxide (GO), chitosan oligosaccharide (CO) and ?-polyglutamic acid (?-PGA).

Abstract: A copper ion-complexed poly gamma-glutamic acid (?-PGA)/chitosan (CS)/cotton blended antibacterial knitted fabric and a preparation method includes chitosan that is crosslinked with poly gamma-glutamic acid, then a copper-ammonia complex ion solution is added to prepare a spinning solution. The spinning solution is wet spun and then stretched, washed with water, finished, washed with water, and dried to get copper ion-complexed poly gamma-glutamic acid/chitosan composite fibers. The blended antibacterial knitted fabric is then prepared by using cotton fiber yarns and the composite fibers. There is a very high coordination coefficient between carboxyl groups of gamma-PGA and amino groups of CS, so the structure is stable. Poly-gamma glutamic acid can be used as water-retaining agent and heavy metal ion adsorbent, which can increase the loading rate of copper ions.

Abstract: Embodiments of the present disclosure include a system for optimizing an artificial neural network by configuring a model, based on a plurality of training parameters, to execute a training process, monitoring a plurality of statistics produced upon execution of the training process, and adjusting one or more of the training parameters, based on one or more of the statistics, to maintain at least one of the statistics within a predetermined range. In some embodiments, artificial intelligence (AI) processors may execute a training process on a model, the training process having an associated set of training parameters. Execution of the training process may produce a plurality of statistics. Control processor(s) coupled to the AI processor(s) may receive the statistics, and in accordance therewith, adjust one or more of the training parameters to maintain at least one of the statistics within a predetermined range during execution of the training process.

Abstract: The present disclosure belongs to the technical field of medicine preparation, and particularly relates to a nasal spray for preventing influenza based on a red pepper extract and heparin and a preparation method thereof. A nasal spray consists of the following raw materials in parts by weight: 10% ?-PGA-CS, 5-10% glycerol, 2% red pepper extract, 5-10% heparin solution, 2-2.4% ethanol and balance of purified water. The present disclosure can not only inhibit germs and diminish inflammation, and has a better therapeutic effect on rhinitis, but also can keep the inner surface of a nasal cavity moist for a long time. Moreover, the present disclosure can reduce side effects on a human body by changing the type of bactericides in the nasal spray, thus keeping the nasal cavity clean and moist for a long time.

Abstract: In accordance with the purpose(s) of the present disclosure, as embodied and broadly described herein, the disclosure, in one aspect, relates to compound Bi-poor perovskite crystals, methods for making the same, and ionizing and other electromagnetic radiation detectors constructed using the Bi-poor perovskite crystals. The Bi-poor perovskite crystals can be synthesized using melt-based growth methods and solution-based growth methods and contain no toxic heavy metals such as lead, cadmium, thallium, or mercury. Devices fabricated from the crystals maintain acceptable levels of performance over time. In some aspects, post-growth annealing can be used to improve the properties, including, but not limited to, room temperature resistivity and response to radiation.