Abstract: A photographing method in a long-focus scenario and a terminal are provided. A moving direction and a moving distance of a framing range of the terminal can be controlled, so that a target photographing object accurately moves into the framing range, to improve efficiency of interaction between a user and the terminal. The method provides, when a zoom magnification used by a terminal is greater than or equal to a preset magnification, a photographing interface displayed by the terminal includes a first viewfinder frame and a second viewfinder frame. The first viewfinder frame is used to preview an image captured by a long-focus camera. A framing range of the second viewfinder frame is greater than a framing range of the first viewfinder frame, and a framing range the same as that of the first viewfinder frame is marked in the second viewfinder frame.

Abstract: Various embodiments of devices, systems, and methods for providing AI-based physical function assessment recordings and assessment performance analytics for a subject are described. A series of video frames are obtained that include the subject. Computer vision techniques that use artificial neural networks may be applied to the video frames to: detect a Person of Interest (POI) and an Object of Interest (OOI) in the video frames; track movement of the POI and the location of the OOI in subsequent video frames; detect body key points; and detect postures and posture transitions of the POI. Physical function indicators may be calculated and function analytics provided based on the assessment.

Abstract: Provided herein is a human monoclonal antibody 8D6 against hepatitis C virus (HCV) infection. The antibody binds to the E2 subunit of HCV capsid protein, and can prevent HCV from infecting susceptible host cells. By using the antibody variable region gene or the complementary determining region (CDR) gene, different forms of genetic engineering antibodies have been transformed and produced in any expression system of the prokaryotic and eukaryotic cells as therapeutics to prevent or treat HCV infection.

Abstract: A system that automatically communicates the event or potential event of a blocked railroad grade crossing to various users, including but not limited to emergency dispatchers and drivers, news media, traffic management systems, and the general public, specifically the location, time, and duration of the event or potential event. The system applies multiple technologies to detect the presence of activity on a rail line, transmits this detection data to a database, performs various analyses on the data, and communicates the status of grade crossings (blocked, potentially blocked, upcoming blockage, or clear) to assist various users with information to make more informed decisions.

Abstract: Provided herein is a human monoclonal antibody 8D6 against hepatitis C virus (HCV) infection. The antibody binds to the E2 subunit of HCV capsid protein, and can prevent HCV from infecting susceptible host cells. By using the antibody variable region gene or the complementary determining region (CDR) gene, different forms of genetic engineering antibodies have been transformed and produced in any expression system of the prokaryotic and eukaryotic cells as therapeutics to prevent or treat HCV infection.

Abstract: A system that automatically communicates the event or potential event of a blocked railroad grade crossing to various users, including but not limited to emergency dispatchers and drivers, news media, traffic management systems, and the general public, specifically the location, time, and duration of the event or potential event. The system applies multiple technologies to detect the presence of activity on a rail line, transmits this detection data to a database, performs various analyses on the data, and communicates the status of grade crossings (blocked, potentially blocked, upcoming blockage, or clear) to assist various users with information to make more informed decisions.

Abstract: The present invention, pertaining to the field of computer technologies, discloses an application startup method and apparatus. The method includes: loading, upon receiving an instruction for starting up an application program, prefetch data corresponding to the application program, where the prefetch data includes at least one file block corresponding to at least one page fault occurred during a history startup process of the application program; and loading code of the application program to start up the application program. The apparatus includes: a prefetch data loading module and a code loading module. According to the present invention, the number of page faults occurred during the startup process of the application program because a process cannot be mapped to a valid physical page when accessing a virtual page is greatly reduced.

Abstract: A method and system for speeding up a computer program is provided. The method includes: determining a critical file and a non-critical file; storing the non-critical file in a first storage device, and storing the critical file in a second storage device, wherein data accessing speed of the second storage device is faster than that of the first storage device; and receiving a file operation for accessing the critical file, redirecting the file operation to the second storage device, accessing the critical file stored in the second storage device. As for the characteristic that the speed for reading and writing the file is limited by the speed of the storage device, the file operation for accessing the critical file is redirected to the file stored in the device with faster speed via the redirection technology, to speed up the startup and running speed of the program.

Abstract: Execution traces are collected from multiple execution instances that exhibit performance issues such as slow execution. Call stacks are extracted from the execution traces, and the call stacks are mined to identify frequently occurring function call patterns. The call patterns are then clustered, and used to identify groups of execution instances whose performance issues may be caused by common problematic program execution patterns.

Abstract: Execution traces are collected from multiple execution instances that exhibit performance issues such as slow execution. Call stacks are extracted from the execution traces, and the call stacks are mined to identify frequently occurring function call patterns. The call patterns are then clustered, and used to identify groups of execution instances whose performance issues may be caused by common problematic program execution patterns.