Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for a risk management method are provided. One of the methods includes: determining a candidate verification mode set comprising one or more candidate verification modes for a target event; determining output weights for at least some of the verification modes in the candidate verification mode set; and selecting a verification mode for risk management of the target event from the candidate verification mode set based on the output weights. In this method, multiple factors, such as risk type, device type, user preference, are taken into consideration in an quantification process when selecting a verification mode. Thus this method avoids excessive reliance on subject understanding of a transaction, improves the robustness of risk management against unauthorized transactions, and reduces unnecessary interference to authorized transactions.

Abstract: The present invention provides RNA aptamer probes for detection of target genetic material and methods for using the probes. In some embodiments, the invention provides devices for the detection of the target genetic material using the probes of the preset invention. In some embodiments, the invention provides methods for designing RNA aptamer probes for detection of target genetic material. In some embodiments, the target genetic material is genetic material from a pathogen. In some embodiments the pathogen is influenza virus. In some embodiments, the devices of the present invention may be used outside of laboratory setting and do not require any specialized skills. In some embodiments, the devices of the present invention are used in conjunction with a mobile phone camera.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for a risk management method are provided. One of the methods includes: determining a candidate verification mode set comprising one or more candidate verification modes for a target event; determining output weights for at least some of the verification modes in the candidate verification mode set; and selecting a verification mode for risk management of the target event from the candidate verification mode set based on the output weights. In this method, multiple factors, such as risk type, device type, user preference, are taken into consideration in an quantification process when selecting a verification mode. Thus this method avoids excessive reliance on subject understanding of a transaction, improves the robustness of risk management against unauthorized transactions, and reduces unnecessary interference to authorized transactions.

Abstract: Examples herein disclose identification of a presence of a processing unit that is to obtain the lock within a queue in a fair lock mode. In response to the presence of the processing unit within the queue, the examples place a separate processing unit in an unfair lock mode.

Abstract: Examples herein disclose identification of a presence of a processing unit that is to obtain the lock within a queue in a fair lock mode. In response to the presence of the processing unit within the queue, the examples place a separate processing unit in an unfair lock mode.