Abstract: Embodiments of the present disclosure relate to a method, system and computer program product for providing system services. In some embodiments, a method is disclosed. According to the method, from a user program in a user address space, a request for a system service is received via a program call instruction of a set of program call instructions in an application interface code library. Based on the program call instruction, a target authorized address space of a plurality of authorized address spaces and a target system service routine for providing the system service in the target authorized address space is determined. A result of running the target system service routine in the target authorized address space is returned to the user program as a response to the request.

Abstract: Aspects of the invention include systems and methods configured to efficiently evaluate the efforts of a code migration (e.g., porting task) between different platforms. A non-limiting example computer-implemented method includes receiving a function of a source platform. The function can include a plurality of fields. An initial vector is constructed for each of the plurality of fields. The initial vector encodes a value of the respective field according to an encoding rule. The initial vectors are merged into a single final vector and the final vector is classified into one of a plurality of system function families of the source platform. A vector of a target platform at a minimum distance to the final vector is identified and an assessment is provided that includes a difficulty in porting a project comprising the function between the source platform and the target platform based at least in part on the minimum distance.

Abstract: Embodiments of the present disclosure relate to a method, system and computer program product for providing system services. In some embodiments, a method is disclosed. According to the method, from a user program in a user address space, a request for a system service is received via a program call instruction of a set of program call instructions in an application interface code library. Based on the program call instruction, a target authorized address space of a plurality of authorized address spaces and a target system service routine for providing the system service in the target authorized address space is determined. A result of running the target system service routine in the target authorized address space is returned to the user program as a response to the request.

Abstract: A method and system for detecting dirt on an electrode of an electromagnetic flowmeter are provided. The method includes: under three different conditions acquiring resistance values between the electrode and ground to form a first dataset, second datasets, and a sample set to be tested; extracting a positive definite feature matrix corresponding to each sample batch and calculating a Riemann center thereof; calculating a similarity index between the sample feature matrix and each of the first feature matrices and the second feature matrices; extracting l feature matrices with a largest similarity index, and calculating a local Riemann center thereof; and calculating proximity between the local Riemann center and each of the second Riemann centers, and determining that a Riemann center with the greatest proximity corresponds to dirt on the electrode corresponding to the sample set to be tested. The method can achieve a online rapid detection of dirt on the electrode.

Abstract: Aspects of the invention include systems and methods configured to efficiently evaluate the efforts of a code migration (e.g., porting task) between different platforms. A non-limiting example computer-implemented method includes receiving a function of a source platform. The function can include a plurality of fields. An initial vector is constructed for each of the plurality of fields. The initial vector encodes a value of the respective field according to an encoding rule. The initial vectors are merged into a single final vector and the final vector is classified into one of a plurality of system function families of the source platform. A vector of a target platform at a minimum distance to the final vector is identified and an assessment is provided that includes a difficulty in porting a project comprising the function between the source platform and the target platform based at least in part on the minimum distance.

Abstract: Disclosed herein are antibodies that specifically bind to LRIG1 and methods of use thereof. In some embodiments, also described herein are methods of modulating immune system activity or promoting immune cell proliferation with an antibody that specifically binds to LRIG1.

Abstract: The present subject matter relates to techniques of controlling a position of a microphone coupled to a headset. In an example implementation of present subject matter, the position of the microphone coupled to the headset is changed between a first position and a second position, depending upon a signal received by the headset.

Abstract: An example of an apparatus including a rendering engine to render an image to a display. The image includes a pointer. The apparatus further includes an input interface associated with the pointer to receive movement data. The apparatus also includes an analysis engine to process the movement data to determine whether the movement data represents a command to locate the pointer on the display. In addition, the apparatus includes an applet engine to execute an applet upon receiving the command The applet generates a pop-up window to provide a location of the pointer.

Abstract: The present invention relates to a method of estimating lithium battery capacity based on a convolution long-short-term memory neural network (CNN-LSTM). The present invention obtains a model that lithium battery capacity estimation through the four steps: processing a lithium battery's data, selecting parameters of an improved convolution long-short-term memory neural network using a genetic algorithm, training the improved CNN-LSTM, and testing model. Hyper-parameters of the improved CNN-LSTM are optimized using the genetic algorithm. Using the convolution neural network to extract the spatial features of lithium battery charge and discharge data, and then input these features into the improved long-short-term memory neural network to extract temporal features, estimated capacity is output through a fully connected layer finally. The present invention overcomes the limitation of the traditional model-based algorithm overly relying on the battery model and has the engineering application prospect.

Abstract: In an example implementation according to aspects of the present disclosure, a method may include determining whether a user profile associated with a user of a computing device is available for a human interface device (HID) of the computing device, and, upon determining that the user profile is available, adjusting a parameter of the HID according to a setting found in the user profile.

Abstract: The present subject matter relates to techniques of controlling a position of a microphone coupled to a headset. In an example implementation of present subject matter, the position of the microphone coupled to the headset is changed between a first position and a second position, depending upon a signal received by the headset.

Abstract: Disclosed herein are antibodies that specifically bind to LRIG1 and methods of use thereof. In some embodiments, also described herein are methods of inducing immune activation or promoting B cell or Natural Killer cell proliferation with an antibody that specifically binds to LRIG1.

Abstract: A method for indexing data includes obtaining a plurality of data points each of which includes spatial information. The method also includes dividing the plurality of data points into a plurality of data blocks based on the spatial information, and determining a block serial number for each of the plurality of data blocks. The method also includes dividing the plurality of data blocks into a plurality of partitions based on an estimated distribution and the block serial numbers, and determining a partition serial number for each of the plurality of partitions based on the block serial numbers of the plurality of data blocks. The method also includes determining an index for each of the plurality of data points based on the block serial numbers of the plurality of data blocks and the partition serial numbers of the plurality of partitions.

Abstract: A system to optimize Spatial Big Data partitions may perform a method including obtaining a first data set that is a Spatial Big Data set associated with spatial information within a target region. The method may also include dividing the first data set into a plurality of first preliminary partitions based on the spatial information. The method may also include determining a first spatial index for the first data set based on the plurality of first preliminary partitions. The method may also include generating a plurality of first modified partitions by obtaining a plurality of first boundary data sets associated with the plurality of first preliminary partitions based on the first spatial index and conducting a first shuffling operation to the plurality of first boundary data sets.

Abstract: Provided herein are methods of identifying cancer patients (e.g., colorectal cancer cancers) who will benefit from treatment with a TRAIL-based therapeutic or death receptor agonist based on their levels of DR4 and cIAP1. Also provided are methods of treating a patient diagnosed with cancer (e.g., colorectal cancer) based on their levels of DR4 and cIAP1.

Abstract: A method of measuring load time for a web page includes video recording a duration of the web page load including capturing N frames in a series of frames 1 through N of the web page. The method includes comparing each frame from frame 1 through frame N?1 with a next frame from frame 2 through frame N in the series of frames to determine a pixel change amount between the compared frames. The method includes defining a series of page phases for the duration of the web page load, each page phase defined by a start time and an end time with each phase start time determined based on estimating user perceptible pixel change amount levels.

Abstract: Engineered single chain trail molecules are provided, as are particular mutations and combinations of mutations that improve the stability and manufacturability of such molecules. These molecules are provided for use as anti-cancer therapeutics.