Abstract: Ionizable cationic lipid compounds have an amine moiety from amino alcohols and a lipid moiety from a lipid synthesized via esterification. The ionizable cationic lipid compounds which comprise an amino alcohol mediated ionizable cationic lipid compound are useful for in vivo or in vitro delivery of one or more nucleic acid agents including DNA, siRNA, a microRNA, an mRNA, a RNAi, and a plasmid.

Abstract: Ionizable cationic lipid compounds have an amine moiety from amino alcohols and a lipid moiety from a lipid synthesized via esterification. The ionizable cationic lipid compounds which comprise an amino alcohol mediated ionizable cationic lipid compound are useful for in vivo or in vitro delivery of one or more nucleic acid agents including DNA, siRNA, a microRNA, an mRNA, a RNAi, and a plasmid.

Abstract: A signal strength measurement method includes: obtaining, by a first access point (AP), a basic service set identifier (BSSID) of a second AP and a first operating channel, where the first operating channel is an operating channel of the second AP, and a station (STA) is associated with the BSSID of the second AP through the operating channel; and sending, by the first AP, a measurement frame to the STA through the operating channel, where a BSSID value of the measurement frame is the BSSID, the measurement frame indicates the STA to send a measurement response frame of which BS SID value is the BSSID, and the measurement response frame carries a signal strength of the measurement frame measured by the STA.

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 detecting at least one bifurcation of the object using a trained bifurcation learning network based on the image. The method further includes extracting the centerline of the object based on a constraint condition that the centerline passes through the detected bifurcation.

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 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: An injectable formulation for a sustained-release of a local anesthetic is provided. The formulation comprises a pharmaceutically effective amount of a local anesthetic encapsulated into polymeric particles having a diameter from about 1 ?m to about 4 ?m. Such formulation prolongs analgesic effect, decreases toxicity, and allows loading larger doses, and at the same time is injectable directly at a patient's body site of the interest without generating a surgical wound. Methods of use and preparation are also provided.

Abstract: One aspect of the disclosure describes a lipid conjugated cationic molecule. Other aspects of the disclosure describes nanoparticle delivery systems and methods of making the systems are disclosed. An embodiment of the nanoparticle delivery system has sustained gene delivery properties, the nanoparticle delivery system can be synthesized using biodegradable and biocompatible polymers via self-assembly. The nanoparticle delivery system comprises a plurality of nanoparticle depots, each of which has a particle-in-particle structure, and is composed of a polymeric nanoparticle, which encapsulates cationic molecule/nucleic acid complexes, facilitating enhanced retention and prolonged release of the gene payload. The polymeric nanoparticle comprises a shell, and a nanocomplex of the cationic molecule and a polynucleotide, the nanocomplexes are distributed within the shell and/or embedded in the shell. Another embodiment of the nanoparticle delivery system has one or more nanocomplexes.

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 detecting at least one bifurcation of the object using a trained bifurcation learning network based on the image. The method further includes extracting the centerline of the object based on a constraint condition that the centerline passes through the detected bifurcation.

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 signal strength measurement method includes: obtaining, by a first access point (AP), a basic service set identifier (BSSID) of a second AP and a first operating channel, where the first operating channel is an operating channel of the second AP, and a station (STA) is associated with the BSSID of the second AP through the operating channel; and sending, by the first AP, a measurement frame to the STA through the operating channel, where a BSSID value of the measurement frame is the BSSID, the measurement frame indicates the STA to send a measurement response frame of which BS SID value is the BSSID, and the measurement response frame carries a signal strength of the measurement frame measured by the STA.

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 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: 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: 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.