Abstract: The present invention relates to technical field of C12N15/115, and particularly relates to an aptamer-based fluorescence polarization detection method for extracellular vesicles (EVs) and its application. The method comprises the following steps: S1. immobilizing EVs by interacting with antibodies against surface-biomarker proteins of EVs or surface cancer markers thereof; rapidly washing them to remove free EVs, proteins, membrane fragments, and lipids; S2. respectively adding aptamers matched with EV markers or cancer cell markers therein and cultivating them the aptamers are fluorescently labeled; S3. performing fluorescence polarization detection on the products from Step S2 to achieve qualitative and quantitative analysis of EVs secreted by cancer cells.

Abstract: A gimbal module includes a first carrier including a receiving chamber, a first bracket accommodated in the receiving chamber, a lens assembly fixed to the first bracket, and a flexible circuit board connected to the lens assembly. The flexible circuit board extends in an S-shape on a plane as viewed in a height direction of the gimbal module. An electronic device including the gimbal module is also disclosed.

Abstract: Compositions and methods are described herein for transdifferentiation of multipotent stromal cells into cells that can express insulin.

Abstract: Compositions and methods are described herein for transdifferentiation of multipotent stromal cells into cells that can express insulin.

Abstract: The present disclosure relates to systems and methods for determining abnormal information associated with a vehicle. The systems may perform the methods to obtain real-time information associated with a bicycle and obtain reference information associated with the bicycle. The systems may also perform the methods to determine, based on the real-time information and the reference information, abnormal information associated with the bicycle, and transmit the abnormal information associated with the bicycle.

Abstract: A method and associated computer program for predicting an electrical characteristic of a substrate subject to a process. The method includes determining a sensitivity of the electrical characteristic to a process characteristic, based on analysis of electrical metrology data including electrical characteristic measurements from previously processed substrates and of process metrology data including measurements of at least one parameter related to the process characteristic measured from the previously processed substrates; obtaining process metrology data related to the substrate describing the at least one parameter; and predicting the electrical characteristic of the substrate based on the sensitivity and the process metrology data.

Abstract: Systems, methods and apparatus, including computer program products, are disclosed for regulating access of consumers (e.g., applications, containers, or VMs) to resources and services (e.g., storage). In one embodiment, this regulation occurs through the movement of consumers between different providers of a resource or service, such as a cloud service provider. Moving consumers includes, for example, determining the cost of moving the consumer from a first provider to a second provider. According to various embodiments, the cost of moving the consumer is compared to cost and performance criteria associated with moving the consumer from the first provider to the second provider. Cloud-based services may be priced as templates, reserved instances, or a combination.

Abstract: Various approaches for managing computational resources in a hyperconverged infrastructure (HCI) cluster include identifying the hosts associated with the HCI cluster for providing one or more computational resources thereto; for each of the hosts, determining a revenue and/or an expense for allocating the computational resource(s) to the HCI cluster; and determining whether to clone, suspend or terminate each host in the HCI cluster based at least in part on the associated revenue and/or expense.

Abstract: An optimization method and system for a whole process of molecular-level oil refinery processing and a storage medium are described. According to an embodiment, for mixed products obtained by prediction from simulation of a molecular-level crude oil processing process, when physical properties of any mixed product do not meet any preset standard, or when a target parameter of the mixed products does not meet a preset condition, the proportion of different fractions entering respective petroleum processing device, an operating parameter in a product prediction model, and a mixing rule for mixing predicted products are adjusted, and the mixed products are re-obtained, until the product properties meet any preset standard and the target parameter meets the preset condition. Final predicted products are predicted by adjusting the proportion of fractions for secondary processing, and the production efficiency is improved by means of the simulation optimization of a production process.

Abstract: Embodiments of methods, systems, and tangible non-transitory computer readable medium having instructions are presented. A method includes calculating a plurality of feature values for a number of bioinformatic features of the desired hybridization reaction; and calculating distances between the plurality of feature values and corresponding database rate constant values stored in a database, the database comprising a plurality of hybridization reactions having known rate constants. The method additionally includes calculating a weighted average of a logarithm of the database rate constant values, with larger weights assigned to value instances having values lower in distance to the plurality of feature values of the desired hybridization reaction; and providing the weighted average as a predicted logarithm of the rate constant of the desired hybridization reaction.

Abstract: The present disclosure relates to an energy-efficient optimized computing offloading method for a vehicular edge computing network and a system thereof; the method comprises: calculating the energy efficiency cost EEC of local computing; calculating the energy efficiency cost EEC of mobile edge computing; determining an optimal offloading decision based on the energy efficiency cost of local computing and the energy efficiency cost of mobile edge computing; determining an optimal CPU frequency and an optimal transmit power of the vehicle based on the optimal offloading decision; and determining the optimal offloading time of the vehicle based on the optimal CPU frequency and the optimal transmit power of the vehicle. The method of the present disclosure can improve the computing offloading efficiency.

Abstract: The present disclosure relates to systems and methods for determining abnormal information associated with a vehicle. The systems may perform the methods to obtain real-time information associated with a bicycle and obtain reference information associated with the bicycle. The systems may also perform the methods to determine, based on the real-time information and the reference information, abnormal information associated with the bicycle, and transmit the abnormal information associated with the bicycle.

Abstract: The present disclosure relates to an energy-efficient optimized computing offloading method for a vehicular edge computing network and a system thereof; the method comprises: calculating the energy efficiency cost EEC of local computing; calculating the energy efficiency cost EEC of mobile edge computing; determining an optimal offloading decision based on the energy efficiency cost of local computing and the energy efficiency cost of mobile edge computing; determining an optimal CPU frequency and an optimal transmit power of the vehicle based on the optimal offloading decision; and determining the optimal offloading time of the vehicle based on the optimal CPU frequency and the optimal transmit power of the vehicle. The method of the present disclosure can improve the computing offloading efficiency.

Abstract: Various approaches for managing computational resources in a hyperconverged infrastructure (HCI) cluster include identifying the hosts associated with the HCI cluster for providing one or more computational resources thereto; for each of the hosts, determining a revenue and/or an expense for allocating the computational resource(s) to the HCI cluster; and determining whether to clone, suspend or terminate each host in the HCI cluster based at least in part on the associated revenue and/or expense.

Abstract: The present disclosure relates to systems and methods for determining abnormal information associated with a vehicle. The systems may perform the methods to obtain real-time information associated with a bicycle and obtain reference information associated with the bicycle. The systems may also perform the methods to determine, based on the real-time information and the reference information, abnormal information associated with the bicycle, and transmit the abnormal information to a server or a terminal device associated with the bicycle according to a Narrow Band Internet of Things (NB-IoT) technique or a Long Range (LoRa) technique.

Abstract: A method for vehicle sharing service may include obtaining, from a terminal device, a location of the terminal device via a network. The method may also include obtaining, from the terminal device, information associated with a vehicle, the information including an identifier of a short-range wireless communication module of the vehicle. The short-range wireless communication module may emit a short-range wireless signal. The information associated with the vehicle may further include an intensity of the short-range wireless signal determined by the terminal device. The method may further include determining a location area of the vehicle based on the location of the terminal device and the intensity of the short-range wireless signal.

Abstract: Disclosed is a spunbond nonwoven fabric comprising a purity of continuous bicomponent fibers having a sheath/core configuration, wherein ionomer of ethylene/(meth) acrylic acid copolymer forms the sheath and polyamide forms the core. Also disclosed herein is a nonwoven composite made thereof.

Abstract: A method and associated computer program for predicting an electrical characteristic of a substrate subject to a process. The method includes determining a sensitivity of the electrical characteristic to a process characteristic, based on analysis of electrical metrology data including electrical characteristic measurements from previously processed substrates and of process metrology data including measurements of at least one parameter related to the process characteristic measured from the previously processed substrates; obtaining process metrology data related to the substrate describing the at least one parameter; and predicting the electrical characteristic of the substrate based on the sensitivity and the process metrology data.

Abstract: A driving method comprising: acquiring a first grayscale value of each of the plurality of pixels in a current display frame; acquiring an area identifier of each of the plurality of pixels and a light-intensity of a surrounding environment, the plurality of pixels comprising at least two kinds of area identifiers, each of the plurality of pixels having a light reflectivity, the area identifier of each of the plurality of pixels being set according to the light reflectivity; converting the first grayscale value of each of the plurality of pixels into a second grayscale value according to the area identifier and the light-intensity of the surrounding environment; and driving the display device to display images according to the second grayscale value of each of the plurality of pixels. The driver and the display device are also provided.

Abstract: A method and associated computer program for predicting an electrical characteristic of a substrate subject to a process. The method includes determining a sensitivity of the electrical characteristic to a process characteristic, based on analysis of electrical metrology data including electrical characteristic measurements from previously processed substrates and of process metrology data including measurements of at least one parameter related to the process characteristic measured from the previously processed substrates; obtaining process metrology data related to the substrate describing the at least one parameter; and predicting the electrical characteristic of the substrate based on the sensitivity and the process metrology data.