Abstract: A MEMS sensor module includes an inner space enclosed by a side wall, a first circuit board, a second circuit board, a dividing wall for dividing the inner space into two cavities, a first MEMS sensor in one cavity wrapped by glue, a second MEMS sensor in another cavity, a first golden finger layer between the side wall and the first circuit board as well as between the dividing wall and the first circuit board for respectively surrounding the two cavities, a second golden finger layer between the side wall and the second circuit board as well as between the dividing wall and the second circuit board for respectively surrounding the two cavities, and a notch in the first golden finger layer at the dividing wall for communicating the two cavities. The MEMS sensor module can avoid the heat generated by one MEMS sensor affecting another one.

Abstract: A MEMS sensor module includes an inner space enclosed by a side wall, a dividing wall for dividing the inner space into two cavities, a first circuit board, a second circuit board, two MEMS sensors respectively disposed in the two cavities, and two golden finger layers. One or both of the two golden finger layers at the dividing wall have a notch communicating the two cavities. One MEMS sensor includes an ASIC chip on the second circuit board and a MEMS chip on the ASIC chip. Another MEMS sensor includes an ASIC chip on the first circuit board and a MEMS chip on the second circuit board. The side wall has a conductor connecting the two circuit boards. A bonding wire connects the MEMS chip and the second circuit board. The MEMS sensor module can avoid the heat generated by one MEMS sensor affecting another one.

Abstract: A microfluidic chip assembly for rapidly performing digital polymerase chain reaction (PCR) and use thereof are provided. The microfluidic chip assembly includes at least one microfluidic chip, a heat sink arranged below the microfluidic chip, a heater arranged above the microfluidic chip, a semiconductor cooler arranged between the heat sink and the microfluidic chip, and a heat-conducting plate arranged above the semiconductor cooler. A thin film layer is bonded at the bottom of the microfluidic chip, and the thin film layer abuts against the heat-conducting plate.

Abstract: The present disclosure discloses a microphone including: a circuit board; a housing engaged with the circuit board for enclosing a receiving space; a plurality of functional components located in the receiving space and electrically connected with the circuit board; and a plurality of baffles received in the receiving space and arranged at intervals along a direction parallel with a plane the circuit board located; the plurality of baffles is configured to divide the receiving space into a plurality of isolation chambers; at least two selected functional components has different functions; each isolation chamber is provided to receive at least one functional component; the functional components with different function are isolated in different isolation chambers. The microphone in the present disclosure has stable performance.

Abstract: A microfluidics-based nanoparticle synthesis system, a device and a synthesis method thereof are provided. The nanoparticle synthesis system comprises: a microfluidic chip; a reagent bottle which is connected with the microfluidic chip; and a flow control assembly comprising a pressure controller which is used for controlling the pressure in the reagent bottle. The system achieves high-accuracy flow control, and a microfluidic chip that can achieve high-efficiency and rapid mixing is also used in combination to finally achieve high-throughput and high-uniformity nanoparticle synthesis. A user may adjust the same instrument as required to achieve different throughputs without redesigning the instrument.

Abstract: The present disclosure discloses a microphone including a shell, a printed circuit board enclosing a cavity together with the shell, a first chip assembly located in the cavity, and a second chip assembly embedded and accommodated in the printed circuit board. The printed circuit board is a multilayer structure including a chip mounting layer, a first alignment layer, a plurality of shielding layers, a second alignment layer, and an SMT layer arranged in sequence, each of the plurality of shielding layers is connected with a grounding point of the printed circuit board and provided with an avoiding aperture running through it. Compared with the related art, the microphone disclosed by the present disclosure could avoid a heat generated by the operation of the first AISC chip and the second ASIC chip affecting the performance of other devices.

Abstract: The present disclosure discloses a microphone including a housing, a printed circuit board assembled with the housing for forming a first cavity and a second cavity, a first chip component, a second chip component, and a first metal layer, the first chip component includes a first MEMS chip and a first ASIC chip, the second chip component includes a second MEMS chip and a second ASIC chip, the housing is fixed with a side of the first metal layer away from the printed circuit board. Compared with the related art, a microphone disclosed by the present disclosure could avoid a heat generated by the operation of the first AISC chip and the second ASIC chip affecting the performance of other devices.

Abstract: A microfluidic chip and a high-throughput small-volume nanoparticle synthesis system based on microfluidic technology are provided. The system comprises a pressure controller and a pressure distribution assembly, which is connected to an output end of the pressure controller; a pressure output end of the pressure distribution assembly is connected to a microfluidic chip, a flow channel for nano-particle synthesis is arranged on the microfluidic chip, and each of an inlet end and a synthesis end of the flow channel is provided with a liquid storage pool. The size, distribution and consistency of nano-particles are accurately controlled, and reagent raw materials are directly for synthesis by means of a flow channel, thereby avoiding reagent waste caused by dead volume due to redundant connection, and high-throughput requirement are effectively met by means of increasing the number of microfluidic chips or parallel flow channels on the same chip.

Abstract: The present disclosure discloses a microphone including: a circuit board; a housing engaged with the circuit board for enclosing a receiving space; a plurality of functional components located in the receiving space and electrically connected with the circuit board; and a plurality of baffles received in the receiving space and arranged at intervals along a direction parallel with a plane the circuit board located; the plurality of baffles is configured to divide the receiving space into a plurality of isolation chambers; at least two selected functional components has different functions; each isolation chamber is provided to receive at least one functional component; the functional components with different function are isolated in different isolation chambers. The microphone in the present disclosure has stable performance.

Abstract: The present application relates to the field of lithium-ion batteries and discloses a lithium-ion battery cathode material, a preparation method thereof, and a lithium-ion battery. A ratio of surface Ni3+ content of the cathode material to internal Ni3+ content of the cathode material is (0.95 to 1):1, and a content of disordering nickel in the cathode material is less than or equal to 3%. The lithium-ion battery cathode material has the similar surface Ni3+ content and internal Ni3+ content, and has a low content of disordering nickel, thereby avoiding the generation of a NiO passivation layer in the cathode material and reducing the phenomenon of loss of surface active lithium. The lithium-ion battery containing such a cathode material has improved capacity, rate capacity, and cycle performance.

Abstract: A farmland reference crop evapotranspiration prediction method based on uncertainty of meteorological factors, includes: S1. acquiring a set number of groups of weather forecast data of a prediction region within a preset time period; S2. inputting each group of weather forecast data into a Bayesian probability forecast system to obtain corrected weather forecast data; and S3. inputting each group of the corrected weather forecast data into a trained RBF neural network, and predicting to obtain a farmland reference crop evapotranspiration. In the present invention, the Bayesian probability forecast system is configured to correct the weather forecast data and eliminate uncertainty of weather forecast data to obtain the accurate reference crop evapotranspiration forecasted by the RBF neural network using these data.

Abstract: Some embodiments provide a method for generating microsegmentation recommendations, performed by a network monitoring service implemented in a public cloud to monitor data flows for a group of datacenters. The method receives a selection of a set of logical network compute nodes (LNCNs) located at a particular datacenter for which to generate recommended rules. The method analyzes flows collected by the network monitoring service in order to generate a set of recommended rules relating to the set of LNCNs. The method provides the set of rules to a local manager at the particular datacenter for the local manager to configure network elements at the particular datacenter to enforce the set of rules. The rules use compute node identifiers for LNCNs located at the particular datacenter and network addresses for LNCNs located at other datacenters as the local manager does not store data regarding compute nodes located at the other datacenters.

Abstract: Disclosed is a fundus image quality evaluation method based on multi-source and multi-scale feature fusion, comprising following steps: S1, acquiring multi-source fundus images, labeling the multi-source fundus images with four evaluation dimensions of brightness, blur, contrast and overall image quality, and forming training samples with the fundus image and labeling labels; S2, constructing a fundus image quality evaluation network including a feature extraction module, a fusion module, an attention module and an evaluation module; S3, training the fundus image quality evaluation network by using training samples to obtain a fundus image quality evaluation model; and S4: inputting fundus images to be measured into the fundus image quality evaluation model, and outputting quality evaluation results through calculation. Also provided is a fundus image quality evaluation device based on above method.

Abstract: Disclosed herein are methods of detecting sepsis in a patient in need thereof, the method comprising: receiving a patient sample, a pathogenic primer mix, a fluorophore label probe, and a dPCR buffer in one or more wells of a microfluidic device and detecting fluorescent light signal from the droplets to determine sepsis in the patient. The microfluidic device comprises a droplet generation channel in fluid communication with the one or more wells, adapted to generate droplets comprising the patient sample, one or more pathogenic primers, a fluorophore label probe, and dPCR buffer. Furthermore, the microfluidic device comprises a chamber in fluid communication with the droplet generation channel for collecting the droplets generated by the droplet generation channel and performing a PCR reaction in the droplets.

Abstract: The present disclosure provides an intelligent cataloging method for all-media news based on multi-modal information fusion understanding, which obtains multi-modal fusion features by unified representation and fusion understanding of video information, voice information, subtitle bar information, and character information in the all-media news, and realizes automatic slicing, automatic cataloging description, and automatic scene classification of news using the multi-modal fusion features. The beneficial effect of the present disclosure is that it realizes the complete process of automatic comprehensive cataloging for the all-media news, and improves the accuracy and generalization of the cataloging method, and greatly reduces the manual cataloging time by generating stripping marks, news cataloging descriptions, news classification labels, news keywords, and news characters based on the fusion of multi-modes of video, audio, and text.

Abstract: Disclosed is a fundus image quality evaluation method based on multi-source and multi-scale feature fusion, comprising following steps: S1, acquiring multi-source fundus images, labeling the multi-source fundus images with four evaluation dimensions of brightness, blur, contrast and overall image quality, and forming training samples with the fundus image and labeling labels; S2, constructing a fundus image quality evaluation network including a feature extraction module, a fusion module, an attention module and an evaluation module; S3, training the fundus image quality evaluation network by using training samples to obtain a fundus image quality evaluation model; and S4: inputting fundus images to be measured into the fundus image quality evaluation model, and outputting quality evaluation results through calculation. Also provided is a fundus image quality evaluation device based on above method.

Abstract: In one embodiment, a service receives machine learning-based generative models from a plurality of distributed sites. Each generative model is trained locally at a site using unlabeled data observed at that site to generate synthetic unlabeled data that mimics the unlabeled data used to train the generative model. The service receives, from each of the distributed sites, a subset of labeled data observed at that site. The service uses the generative models to generate synthetic unlabeled data. The service trains a global machine learning-based model using the received subsets of labeled data received from the distributed sites and the synthetic unlabeled data generated by the generative models.