Abstract: Nanoparticles containing an aqueous core containing one or more nucleic acids, such as siRNA, and a shell containing one or more hydrophobic cationic materials, one or more amphiphilic materials, and one or more therapeutic, diagnostic, and/or prophylactic agents are. The hydrophobic cationic material and the hydrophobic portion of the amphiphilic material provide a non-polar polymer matrix for loading non-polar drugs, protect and promoting siRNA molecule retention inside the NP core, and control drug release. The hydrophilic portion of the amphiphilic material can form a corona around the particle which prolongs circulation of the particles in the blood stream and decreases uptake by the RES.

Abstract: The disclosure relates to systems and methods for evaluating a blood vessel. The method includes receiving image data of the blood vessel acquired by an image acquisition device, and predicting, by a processor, blood vessel condition parameters of the blood vessel by applying a deep learning model to the acquired image data of the blood vessel. The deep learning model maps a sequence of image patches on the blood vessel to blood vessel condition parameters on the blood vessel, where in the mapping the entire sequence of image patches contribute to the blood vessel condition parameters. The method further includes providing the blood vessel condition parameters of the blood vessel for evaluating the blood vessel.

Abstract: A hollow-core antiresonant fiber (HC-ARF) with nested supporting rings (NSRs) has a fiber structure that includes from the inside out a fiber core, a first silica antiresonant ring (SARR), a first air antiresonant ring (AARR), a second SARR, a second AARR and an external silica wall. The fiber structure further includes a first NSR within the first AARR and a second NSR within the second AARR. The HC-ARF with NSRs has advantages and benefits of low confined loss (CL), large bandwidth, simple structure and very good bending characteristics. Therefore, the application fields of HC-ARF are greatly expanded.

Abstract: The present invention discloses a data processing method and system for a scalable multi-port memory. The multi-port memory is a 2-read n-write multi-port memory unit. The method comprises: assembling two 2R1W memories into one Bank memory unit; assembling n/2 Bank memory units in depth into a hardware architecture of one 2-read n-write multi-port memory unit; under one clock cycle, when data is written into the 2-read n-write multi-port memory unit, if the size of the data is less than or equal to the bit width of the 2R1W memory, writing the data into different 2R1W memories respectively; and if the size of the data is greater than the bit width of the 2R1W memory, waiting for a second clock cycle, and when the second clock cycle comes, writing the high and low bits of the written data into the two 2R1W memories of one Bank memory unit respectively.

Abstract: A method and an apparatus for implementing delay measurement. The method includes: determining, by a measurement apparatus, a delay T0 generated when a first packet is transmitted at a first priority over a first loopback path that includes a first sub-path and a second sub-path; determining a delay T1 generated when a second packet is transmitted over a second loopback path that includes the first sub-path, the second sub-path, a third sub-path, and a fourth sub-path, where the second packet is transmitted at the first priority over the first sub-path and the second sub-path and is transmitted at a second priority over the third sub-path and the fourth sub-path; and determining a delay according to T0 and T1. Therefore a delay can be measured only by implementing a measurement function in the measurement apparatus, thereby resolving a problem of complex implementation.

Abstract: The disclosure relates to systems and methods for determining blood vessel conditions. The method includes receiving a sequence of image patches along a blood vessel path acquired by an image acquisition device. The method also includes predicting a sequence of blood vessel condition parameters on the blood vessel path by applying a trained deep learning model to the acquired sequence of image patches on the blood vessel path. The deep learning model includes a data flow neural network, a recursive neural network and a conditional random field model connected in series. The method further includes determining the blood vessel condition based on the sequence of blood vessel condition parameters. The disclosed systems and methods improve the calculation of the sequence of blood vessel condition parameters through an end-to-end training model, including improving the calculation speed, reducing manual intervention for feature extraction, increasing accuracy, and the like.

Abstract: The present application provides a display panel comprising a substrate and a plurality of film layers disposed on the substrate in sequence, and at least one of the film layers having a patterned structure, wherein the display panel has at least a first location and a second location different from the first location, and the film layers arranged in a thickness direction of the display panel at the first location are different from the film layers arranged in a thickness direction of the display panel at the second location, a first optical length L1 at the first location and a second optical length L2 at the second location meet the following conditions: L1=d1*n1+d2*n2+ . . .+di*ni, L2=D1*N1+D2*N2+ . . . +Dj*Nj, (m??)??L1-L2?(m+?)?, wherein ? is a constant between 380 nm and 780 nm; m is a natural number; and ? is a constant between 0 and 0.2.

Abstract: The present disclosure provides a GPU-based third-order low-rank tensor completion method. Operation steps of the method includes: (1) transmitting, by a CPU, input data DATA1 to a GPU, and initializing the loop count t=1; (2) obtaining, by the GPU, a third-order tensor Yt of a current loop t based on the least squares method; (3) obtaining, by the GPU, a third-order tensor Xt of the current loop t based on the least squares method; (4) checking, by the CPU, whether an end condition is met; and if the end condition is met, turning to (5); otherwise, increasing the loop count t by 1 and turning to (2) to continue the loop; and (5) outputting, by the GPU, output data DATA2 to the CPU. In the present disclosure, in the third-order low-rank tensor completion, a computational task with high concurrent processes is accelerated by using the GPU to improve computational efficiency.

Abstract: A hollow-core antiresonant fiber (HC-ARF) with nested supporting rings (NSRs) has a fiber structure that includes from the inside out a fiber core, a first silica antiresonant ring (SARR), a first air antiresonant ring (AARR), a second SARR, a second AARR and an external silica wall. The fiber structure further includes a first NSR within the first AARR and a second NSR within the second AARR. The HC-ARF with NSRs has advantages and benefits of low confined loss (CL), large bandwidth, simple structure and very good bending characteristics. Therefore, the application fields of HC-ARF are greatly expanded.

Abstract: The nondestructive determination of core size of a hollow-core photonic bandgap fiber (HC-PBF) using Fabry-Perot (FP) interference is performed with an apparatus including a tunable laser source (TLS), a 1×2 single-mode (SM) coupler, an SM collimator, a six-axis translation stage, an optical detector, and an oscilloscope. The light from the TLS passes through the 1×2 SM coupler and the SM collimator to perpendicularly enter two parallel air-SiO2 interfaces of the core of the fiber and is reflected, while the TLS is tuned from one wavelength to another. Then the reflected spectrum is guided to the optical detector, where its interference intensity is converted into voltage intensity to be displayed at the oscillator and fitted with a least-squares method to obtain the distance between the two air-SiO2 interfaces. The core size of the fiber can be obtained by rotating the fiber and repeating the procedure at multiple angular positions.

Abstract: A type of substituted penta-fused hexa-heterocyclic compounds having selective inhibition for PIKfyve kinase, a pharmaceutically acceptable salt and pharmaceutically acceptable solvate thereof, a method for the preparation thereof, a pharmaceutical composition comprising the same, and use of these compounds in the manufacture of a medicament for preventing or treating a disease associated with PIKfyve in vivo, in particular in the manufacture of a medicament for preventing or treating tumor growth and metastasis.

Abstract: Shown and described is a composition and a method to prepare a dopant-free photoluminescent hydrogel with synthetic polymers are disclosed. The hydrogel can be synthesized in one embodiment by incorporating an amino acid to a citric acid based polyester oligomer followed by multiple crosslinking group functionalization through a transesterification reaction using an enzyme such as Candida antarctica Lipase B (CALB) as a catalyst. The hydrogels are injectable, degradable, and their mechanical and photoluminescent properties are tunable. An in vivo study shows that the hydrogel emits strong fluorescence under visible light excitation and can completely degrade over time.

Abstract: Physiologically-tailored tissue organoids are disclosed for monitoring and treating diseases and improving an individual's health.

Abstract: The present invention relates to a compound having the following formula, or a stereoisomer thereof, a prodrug thereof, a pharmaceutically acceptable salt thereof or a pharmaceutically acceptable solvate thereof, preparation method thereof, pharmaceutical composition comprising the same and use of the compound in the manufacture of a medicament for preventing or treating tumor, wherein the substituents are as defined in the specification.

Abstract: The present disclosure relates to a device, a system, and a computer-readable medium for calculating vessel flow parameters based on angiography. In one implementation, the device includes a processor and a memory storing computer-executable instructions that, when executed by the processor, cause the processor to perform the following operations: selecting a plurality of template frames from the angiographic images to generate a 3D model for a vessel; determining a start frame and an end frame in the plurality of angiographic images showing a contrast filling process; determining corresponding locations of front ends of the contrast in the start frame and the end frame in the 3D model of the vessel; calculating a vessel volume between the determined locations of the front ends in the 3D model; and determining an average blood flow rate based on the calculated volume, and a time interval between the start frame and the end frame.

Abstract: Systems and methods for generating a centerline for an object in an image are provided. An exemplary method includes receiving an image containing the object. The method also includes generating a distance cost image using a trained first learning network based on the image. The method further includes detecting end points of the object using a trained second learning network based on the image. Moreover, the method includes extracting the centerline of the object based on the distance cost image and the end points of the object.

Abstract: A cell freeze-drying system, comprising: a temperature-elevated nitrogen supplier, a freeze-drying operation box, and a gas discharger, which are connected in that order using a first connection pipe. The temperature-elevated nitrogen supplier supplies warmed nitrogen to the freeze-drying operation box. A cell sample frozen by liquid nitrogen is placed in the freeze-drying operation box, and then the freeze-drying operation box, which is preset to a temperature suitable for placing the cell sample frozen by liquid nitrogen, is warmed up in a preset mode while continuously being supplied with the warmed nitrogen to sublimate solid state water in the cell sample into gaseous water. The gas discharger is used to discharge the gaseous nitrogen and the gaseous water. Further disclosed is a cell freeze-drying method. The invention can effectively address an issue of cell damage and contamination during freeze-drying, and realizes safety, efficiency, and low costs for cell freeze-drying.

Abstract: The disclosure relates to systems and methods for determining blood vessel conditions. The method includes receiving a sequence of image patches along a blood vessel path acquired by an image acquisition device. The method also includes predicting a sequence of blood vessel condition parameters on the blood vessel path by applying a trained deep learning model to the acquired sequence of image patches on the blood vessel path. The deep learning model includes a data flow neural network, a recursive neural network and a conditional random field model connected in series. The method further includes determining the blood vessel condition based on the sequence of blood vessel condition parameters. The disclosed systems and methods improve the calculation of the sequence of blood vessel condition parameters through an end-to-end training model, including improving the calculation speed, reducing manual intervention for feature extraction, increasing accuracy, and the like.

Abstract: The present invention discloses a data buffer processing method and system for a 4R4W fully-shared packet. The method comprises: assembling two 2R1 memories into one Bank memory unit; forming the hardware architecture of a 4R4W memory based on four Bank memory units; under one clock cycle, when data is written into the 4R4W memory, if the size of the data is less than or equal to the bit width of the 2R1W memory, writing the data into different Banks respectively, and copying the written data and writing, the copied data into the two 2R1W memories of each Bank respectively; if the size of the data is greater than the memory, waiting for a second clock, cycle, and writing the data into different Banks respectively, and writing the high and low bits of each piece of written data into the two 2R1W memories of each Bank memory unit respectively.

Abstract: Embodiments generally relate to determining traffic congestion patterns. In some embodiments, a method includes identifying congestion events for each road of a plurality of roads in a road network, where each congestion event indicates a drop in average vehicle speed below a predetermined speed threshold for a particular road in the road network, and where the congestion events span a predetermined time period. The method further includes determining local clusters of the congestion events based on one or more road condition parameters, where each local cluster defines a local congestion pattern for a particular road of the plurality of roads in the road network. The method further includes grouping the local clusters into one or more global clusters based on the one or more road condition parameters, where the global clusters define global congestion patterns in the road network.