43 results about "S-expression" patented technology

The invention provides a recommendation system and a recommendation method based on an attention mechanism, wherein the merchandise in the user history and the merchandise to be predicted are mapped to the feature vector of the merchandise through the feature embedding layer, according to the self-attention mechanism, the attention layer learns the user's expression to obtain the user's feature vector, a prediction value for the merchandise from a user is output according to the feature vector of the merchandise and the feature vector of the user through a fusion output layer. The invention provides a recommendation system based on attention mechanism, which adopts a neural attention mechanism to automatically distribute weights to each merchandise in a user's history record, so that the interpretability is enhanced. The invention outputs a prediction value of the user to the merchandise according to the characteristic vector of the merchandise and the characteristic vector of the userthrough a fusion output layer. The neural attention mechanism can be used to simulate user behavior more reasonably and get finer grained weights so as to obtain better recommendation effect.

An authentication method can include, a random expression prompt, recording of the user's expression actions, and an authentication result. This is completed using a terminal device configured to display authentication information, record the user's inputted information, and send an authentication result. The terminal device may be further configured to package an authentication result, and send it to an authentication server. Subsequent actions of the user are allowed or denied based on the authentication result.

Analysis is enabled, of a corpus of statements (such as those from social media), according to each statement's expression of sentiment about some kind of object. Object-specific corpuses are identified, where each object-specific corpus contains statements that refer to a same object. For each statement of an object-specific corpus, the polarity and intensity of sentiment expressed is determined. Net polarity and intensity measures are determined for each object-specific corpus and utilized to graph the corpus in a two-dimensional space. The area of the graphical symbol, representative of an object-specific corpus, can be proportional to the number (absolute or relative) of statements of the object-specific corpus. Brands can be compared, with each brand represented by an object-specific corpus. A single brand can have shown, relative to a temporal dimension, the net polarity, net intensity, or volume of its statements. Net polarity is shown to have a strong correlation with survey-based techniques.

Presented is a system and method for determining a user's intent. Specifically, constituents and a topology are derived from the user's expression of intent, which can be stated broadly or stated in specific detail. The intent is expressed verbally, written, or in an XML format. The constituents and topology are resolved into a configuration based upon contexts. The contexts, which include a resource context, a user context, and an application context, includes information about the user's preferences, location, restrictions, device and network availability, and content availability. The configuration is then implemented.

The present invention relates to biomarker genes for diagnosing and treating diseases. Provided herein are systems and methods of diagnosing a disease in a patient based on the patient's expression levels of biomarker genes. Examples of the TL1A-associated disease include, but are not limited to, an inflammatory bowel disease (IBD), Crohn's disease (CD), ulcerative colitis (UC), and fibrosis. Also provided herein are systems and methods of identifying a patient likely to be responsive to an anti-TL1A therapy, prescribing and / or administrating an anti-TL1A therapy to the patient based on the patient's expression levels of biomarker genes.

The invention, which belongs to the technical field of signal processing, discloses a detection method for a distance-extended target. The detection method comprises: setting a transmission signal ofa high-resolution radar and respectively determining echo signals, received by the high-resolution radar, of two adjacent distance units; setting a reference signal and removing carrier frequencies inthe echo signals of two adjacent distance units to obtain two mixed output signals; carrying out sampling on the two mixed output signals respectively to obtain two corresponding discrete signals; calculating mutual S expressions and singular values of the two discrete signal; constructing two time-frequency decomposition features according to the singular values and using the two time-frequencydecomposition features as two detection statistic amounts of the target respectively; and determining detection thresholds corresponding to the two detection statistic amounts of the target respectively and thus carrying out target detection according to the two detection statistic amounts and the corresponding detection threshold. Therefore, the target in high-speed motion is detected; and the method has the constant-false-alarm characteristic and can be applied to detection of the distance-extended target immersed in white Gaussian noises.

The invention relates to an AFP recombinant protein, and an in vitro high-efficiency recombination expression method, and specifically relates to a recombinant protein of artificial signal peptide-AFP-609aa-6his, and an in vitro high-efficiency recombination expression method of mammal transient expression system. DNA sequence of the AFP recombinant protein is represented by SEQ ID No.1. The in vitro high-efficiency recombination expression method comprises following steps: a, DNA sequence of the AFP recombinant protein is optimized; b, gene of the AFP recombinant protein is cloned into pcDNA3.1+ carrier via double enzyme digestion, pcDNA3.1+-AFP expression plasmid is constructed, and plasmid extraction is performed; c, transfection of pcDNA3.1+-AFP plasmid, which is obtained via extraction, into CHO-S suspension cells is realized using PEI, and recombinant protein expression is preformed; and d, 7 days later, the AFP recombinant protein is obtained via separation and purification. Activity of the AFP recombinant protein is close to that of natural AFP protein, wherein the artificially synthesized AFP recombinant protein with 6HIS labels is prepared via large-scaled transient suspension CHO-S expression system; purity is relatively high; endotoxin content is low; no pollution is caused by animal-based protein; and it is possible for the AFP recombinant protein to be used as a tumor antigen vaccine in liver cancer immunotherapy.

A computer-implemented method and apparatus for correcting data sets from microarray measurements of gene expression values made with several different microarray versions. The method comprises obtaining data sets (210) of expression values of several genes of biological samples (202), made with several different microarray versions; normalizing (212) the data sets; determining a first gene-specific distribution parameter (220) for each microarray version and a second gene-specific distribution parameter (222) for a combination of microarray versions; determining a gene-specific correction element (226) for each microarray version based on the discrepancy (224) between the first and second gene-specific distribution parameters; correcting a gene's expression value with the gene-specific correction element (226) for the microarray version on which the gene's expression value is based; and storing (118) the gene's corrected expression value (228) in a physical memory (230). The technique can be generalized to properties other than gene expression values.

The present invention discloses a method and a device for outputting information. The embodiment of the invention comprises the steps of: responding to detection of a user's face image, and identifying the user's identity information; selecting recommendation information matching with the identity information from a preset recommendation information set; outputting recommendation information, anddetecting expression change when the user watches the recommendation information; determining whether the user repulses the selected recommendation information or not according to the expression change; and if yes, reselecting recommendation information matching with the identity information from the recommendation information set for output. The method and the device for outputting information achieve recommendation information output according to the user's expression change.

A method and a system are provided for encoding and processing digital information. The digital information is encoded according to binary encoding formats corresponding to primitive data types. The primitive data types comprise scalar data types including Boolean, integer, float, decimal, time stamp, string, symbol, binary large object, and character large object data types. The primitive data types also comprise composite data types including structure, list, and S-expression data types. The binary-encoded digital information is stored in a message with a predetermined format for transmission. No metadata is included in the message.

A method and an apparatus for a video call in a mobile communication terminal are provided. The method includes, upon performing a video call, setting an alternative video transmission mode according to a user's manipulation, generating an avatar representing a user's expression, and transmitting an alternative video including the avatar to a called mobile communication terminal.

The invention relates to a barrage input method and a barrage input device. The method captures an image of a user's expression when a barrage is needed to be sent, processes the captured image of theuser's expression, and sends the processed image of the user's expression to a digital television device to play in the form of the barrage. The invention captures the image of the user's expressionwhen the user performs the barrage input, and then sends the processed image to the digital television device as the barrage content to perform the barrage display, thereby really reflecting the user's expression and mood, enabling the transmission of the user without operations which is convenient and fast, and greatly satisfying the needs of users. At the same time, the method also collects theuser's voice for text conversion, and the user only needs to input the voice to input the text barrage, thereby enabling quick input without complicated operations, which is simple and time-saving.

One of a plurality of prepared given expressions is displayed on a screen. After the given expression is presented to the user, the position of a face feature point is detected from a face image of the user taken by a camera cartridge. Based on the detected position of the face feature point, the user's expression in the face image is expressed in accordance with the evaluation criteria corresponding to the given expression, and an image representing the evaluation result is displayed on the screen. Thus, the user can effectively train the mimetic muscles.

In systems which support oral entry of Personal Identification Number (PIN) values in order to establish access to user accounts, a user is prompted to enter the PIN value for a particular account. The entered PIN value is analyzed by a speech recognition engine to extract both a multi-digit number and the user's expression of that number. The extracted multi-digit number is compared to a multi-digit number stored in a user record associated with the account. If the user previously specified that expression matching is required, the extracted expression of the multi-digit number is compared to a preferred expression stored in the user record. Matches must be found for both the numbers and the form in which those numbers are expressed in order for the user to be authenticated. The user may elect to dispense with the expression matching requirement.

The invention discloses a maneuvering target tracking method under constraint conditions, comprising the steps of: A, obtaining the position measurement information of a maneuvering target; B, converting the position measurement information into Cartesian coordinate measurement; C, establishing a constrained coordinate static model in a one-dimensional space, i.e., building the mileage S expression of the position of the maneuvering target in road x, y directions; D, setting motion models according to motion characteristics of the maneuvering target, and establishing a state equation and a measurement equation according to the established expression; and E, for each motion model, filtering converted Cartesian coordinate measurement to obtain a one-dimensional variable mileage S and speed filtering result. According to the embodiment, the tracking performance of a maneuvering target can be improved.