Abstract: A method of testing a performance, an electronic device and a computer-readable medium, all of which relate to a field of a computer technology, such as cloud computing and cloud platform technology. The method includes: determining a performance test type of an applet performance to be tested and a participant data interface participating in an applet performance test; transmitting, through the participant data interface, a test indication information corresponding to the performance test type to a terminal device requiring the applet performance test; receiving, from the terminal device, applet running data obtained by performing a data acquisition according to the test indication information; and performing an applet performance analysis according to the applet running data, so as to obtain corresponding applet performance data.

Abstract: A method for detecting road diseases by intelligent cruise via an unmanned aerial vehicle (UAV), the UAV and a detecting system therefor are provided. The method for detecting road diseases by intelligent cruise via UAV, wherein a road disease detection model and a road recognition model based on deep learning network are built in the UAV, wherein the method specifically comprises a step of: automatically flying the UAV on a predetermined route on the actual road determined by the road recognition model, and obtaining road disease test results by the road surface disease detection model. The present invention adopts the road recognition model and road disease detection model based on deep learning network, which can realize automatic cruise and automatic road disease detection, only need to set a predetermined route or area range, which is convenient and fast.

Abstract: Methods and compositions for detecting the presence of a pathogen are described. In particular, this document provides a method of detecting a pathogen-associated nucleic acid in a biological sample of a subject, where the method comprises using one or more unimolecular aptamer-based sensors comprising an aptamer-fluorophore complex and an amplification step to detect the pathogen-associated nucleic acid. Methods specific for detecting the presence of malaria and other mosquito-borne virus infections are also provided.

Abstract: Provided herein are synthetic nucleic acid molecules known as loop-mediated riboregulators that have single-nucleotide polymorphism (SNP) sensitivity and ultralow OFF state signal levels. Loop-mediated riboregulators can activate or repress gene expression in response to trigger RNAs bearing completely arbitrary sequences. Also provided herein are methods of using such synthetic nucleic acid molecules for detecting the presence or absence of a particular target RNA in, for example, a biological sample.

Abstract: Provided herein are synthetic nucleic acid molecules known as loop-mediated riboregulators that have single-nucleotide polymorphism (SNP) sensitivity and ultralow OFF state signal levels. Loop-mediated riboregulators can activate or repress gene expression in response to trigger RNAs bearing completely arbitrary sequences. Also provided herein are methods of using such synthetic nucleic acid molecules for detecting the presence or absence of a particular target RNA in, for example, a biological sample.

Abstract: Methods and compositions for detecting the presence of a pathogen are described. In particular, this document provides a method of detecting a pathogen-associated nucleic acid in a biological sample of a subject, where the method comprises using one or more unimolecular aptamer-based sensors comprising an aptamer-fluorophore complex and an amplification step to detect the pathogen-associated nucleic acid. Methods specific for detecting the presence of malaria and other mosquito-borne virus infections are also provided.

Abstract: A method of testing a performance, an electronic device and a computer-readable medium, all of which relate to a field of a computer technology, such as cloud computing and cloud platform technology. The method includes: determining a performance test type of an applet performance to be tested and a participant data interface participating in an applet performance test; transmitting, through the participant data interface, a test indication information corresponding to the performance test type to a terminal device requiring the applet performance test; receiving, from the terminal device, applet running data obtained by performing a data acquisition according to the test indication information; and performing an applet performance analysis according to the applet running data, so as to obtain corresponding applet performance data.

Abstract: The present invention provides loop-mediated riboregulators for the detection of SARS-CoV-2. Also provided are DNA constructs encoding the loop-mediated riboregulators and methods of using the loop-mediated riboregulators to detect the presence of SARS-CoV-2 in a sample.

Abstract: The present invention provides a new class of RNA modules, referred to as degradation tuning RNAs (dtRNAs), which form stabilizing secondary structures. Also provided are methods of using dtRNAs to modulate the stability of RNAs. DNA constructs including a promoter that is operably connected to a sequence encoding the dtRNA are also provided.

Abstract: A method for detecting road diseases by intelligent cruise via an unmanned aerial vehicle (UAV), the UAV and a detecting system therefor are provided. The method for detecting road diseases by intelligent cruise via UAV, wherein a road disease detection model and a road recognition model based on deep learning network are built in the UAV, wherein the method specifically comprises a step of: automatically flying the UAV on a predetermined route on the actual road determined by the road recognition model, and obtaining road disease test results by the road surface disease detection model. The present invention adopts the road recognition model and road disease detection model based on deep learning network, which can realize automatic cruise and automatic road disease detection, only need to set a predetermined route or area range, which is convenient and fast.

Abstract: Provided herein are methods and systems for low-cost, low-equipment detection of pathogens in biological sample. In particular, provided herein is a low-cost method for detecting norovirus that provides reliable, visible test with femtomolar, attomolar, and zeptomolar detection limits and that uses materials suitable for deployment of the methods in the field.

Abstract: An image segmentation method and system for a pavement disease based on deep learning are provided, relating to a field of image processing. The image segmentation method includes steps of: acquiring a pavement detection image; inputting the pavement detection image into a disease segmentation model which is obtained through training a deep learning network with a disease database; recognizing and segmenting the pavement disease, and obtaining a segmented image of the pavement disease. The image segmentation method adopts a deep learning algorithm for image segmentation, so that a pavement disease region is automatically obtained, a working efficiency is improved and meanwhile image segmentation becomes more accurate.

Abstract: Provided herein are methods and systems for low-cost, low-equipment detection of pathogens in biological sample. In particular, provided herein is a low-cost method for detecting norovirus that provides reliable, visible test with femtomolar, attomolar, and zeptomolar detection limits and that uses materials suitable for deployment of the methods in the field.

Abstract: Provided herein are methods and systems for low-cost, low-equipment detection of pathogens in biological sample. In particular, provided herein is a low-cost method for detecting norovirus that provides reliable, visible test with femtomolar, attomolar, and zeptomolar detection limits and that uses materials suitable for deployment of the methods in the field.

Abstract: Methods and compositions for detecting the presence of a pathogen are described. In particular, this document provides a method of detecting a pathogen-associated nucleic acid in a biological sample of a subject, where the method comprises using one or more unimolecular aptamer-based sensors comprising an aptamer-fluorophore complex and an amplification step to detect the pathogen-associated nucleic acid. Methods specific for detecting the presence of malaria and other mosquito-borne virus infections are also provided.

Abstract: Provided herein are synthetic nucleic acid molecules known as loop-mediated riboregulators that have single-nucleotide polymorphism (SNP) sensitivity and ultralow OFF state signal levels. Loop-mediated riboregulators can activate or repress gene expression in response to trigger RNAs bearing completely arbitrary sequences. Also provided herein are methods of using such synthetic nucleic acid molecules for detecting the presence or absence of a particular target RNA in, for example, a biological sample.