Abstract: The present disclosure provides a method for testing an internal force increment of an arch bridge suspender by inertial measurement, including the following steps: (1) selecting a suspender to be tested with internal force increment, and mounting an acceleration sensing device or a speed sensing device at a lower edge of the suspender to be tested; (2) setting an appropriate sampling frequency and collecting signals; (3) processing information data collected in step (2) by using Formulas; and (4) recording a result of the information data processing and obtaining the internal force increment of the suspender. The method can obtain the internal force increment of the suspender by collecting acceleration or speed signals of the lower edge of the suspender and performing calculation from the signals. This method has the advantages of simple and convenient testing, high replicability and low test cost.

Abstract: Methods and apparatuses are described for enhancing chatbot recognition of user intent through graph analysis. A computing device classifies user messages associated with a chat session as either comprehensible user messages that are mapped to a user intent or incomprehensible utterances that are not mapped to a user intent. The computing device arranges the comprehensible messages into first clusters and arranges the incomprehensible messages into second clusters. The computing device generates a first sub-graph for each first cluster and generates a second sub-graph for each second cluster. The computing device calculates a graph kernel matrix using the sub-graphs and trains a classification model using the graph kernel matrix. The computing device executes the trained classification model using the graph kernel matrix as input to generate a predicted intent identifier for the incomprehensible messages.

Abstract: Methods and apparatuses are described for automatic refinement of intent classification for virtual assistant applications. A computing device creates utterance groups comprising messages. The device determines, using a first machine learning (ML) classifier, a first predicted intent associated with each utterance group and determines, using a second ML classifier, a second predicted intent associated with each utterance group. The device combines the first and second predicted intents to generate a final predicted intent, determines, for each incomprehensible utterance group, whether the final predicted intent overlaps with the final predicted intent for other utterance groups, and selects messages having no overlapping intent to create new intents.

Abstract: Methods and apparatuses are described for unstructured computer text is analyzed for masking of confidential information using artificial intelligence. A client device generates a message comprising unstructured computer text including confidential information. A server trains a word embedding model using the unstructured text. The server generates a multidimensional vector for each word in the unstructured text, generates a mapping table comprising a predetermined set of words corresponding to confidential information from the unstructured text, and determines one or more neighboring words in the trained word embedding model using the predetermined set of words. The server updates the mapping table to incorporate the one or more neighboring words and executes rules on the unstructured text that filter out one or more words, and applies the updated mapping table to match words in the updated mapping table with words in the filtered text and mask the matching words in the unstructured text.

Abstract: The disclosure relates to a dosage forms and combinations of dosage forms useful for effective oral administration of drugs which are otherwise unsuitable for oral administration, owing to acid- and/or protease-mediated degradation. The dosage forms include a self-microemulsifying drug delivery system (SMEDDS) with which the drug is combined and an antacid. When co-administered to a mammal, the dosage form(s) can prevent drug degradation by the strong acid and digestive enzymes normally present in the gastric environment, and can improve water-soluble drug absorption in gastrointestinal (GI) tract. The dosage forms can be used to effectively administer insulin by an oral route, for example, such as in the form of a powder that can be stored for long periods and reconstituted with water or another fluid shortly before administration.

Abstract: Methods and apparatuses are described for generating a domain-specific knowledge graph from unstructured computer text. A computing device extracts unstructured computer text associated with pairs of entities from domain-independent documents, and trains an entity relationship classification model using a domain-independent knowledge graph and the extracted text. The computing device extracts other unstructured text associated with a first domain from domain-specific documents. The computing device identifies pairs of entities contained within the text for the first domain, and executes the trained model to determine a relationship between the entities in each pair of entities identified from the text for the first domain. The computing device generates a domain-specific knowledge graph using (i) the pairs of entities identified from the text for the first domain and (ii) the relationships between the entities in each pair of entities identified from the text for the first domain.

Abstract: The disclosure relates to a dosage forms and combinations of dosage forms useful for effective oral administration of drugs which are otherwise unsuitable for oral administration, owing to acid- and/or protease-mediated degradation. The dosage forms include a self-microemulsifying drug delivery system (SMEDDS) with which the drug is combined and an antacid. When co-administered to a mammal, the dosage form(s) can prevent drug degradation by the strong acid and digestive enzymes normally present in the gastric environment, and can improve water-soluble drug absorption in gastrointestinal (GI) tract. The dosage forms can be used to effectively administer insulin by an oral route, for example, such as in the form of a powder that can be stored for long periods and reconstituted with water or another fluid shortly before administration.

Abstract: A method for structuring transmissible data of various types with universal applicability as between devices of various types includes a data content, a first data header, and a second data header. The first data header signifies numerical data or control/command data. The second data header is a description of a data group to which the collected data belongs. The data further can include a third data header configured to describe production process information of the data. The data further can include a fourth data header to describe a product type, an industrial field, a company name, and a company address.

Abstract: A file control method includes obtaining input commands from a first input device, the first input device includes one of a voice device, a camera, a motion sensor, and a brain machine; determining information on a file to be controlled and file control commands which can be performed by file editing software based on the input commands, the information on the file to be controlled includes a file name, a specific position in the file to be controlled, the file control commands include inserting, deleting, or modifying specific content at the specific position; and controlling the file editing software to perform the file control commands to control the file.

Abstract: An anti-counterfeit method for assisting in face recognition includes the following steps: capturing a dynamic image of an object; filtering a plurality of time-varying signals from the dynamic image to obtain a plurality of filter signals; and comparing the filter signals and preset biological information that corresponds to the object, to output a determining result. When the dynamic image of the object is captured, according to this method, at least one region is interest is set in the dynamic image, and each time-varying signal corresponds to a time-varying gray-scale value of at least one pixel of the dynamic image in the region of interest. An anti-counterfeit system is also provided.

Abstract: A 5G-based communication method for an industrial apparatus can be implemented in industrial apparatus during manufacturing operations, and a microprocessor. The industrial apparatus can collect data sets concerning itself, generate a 5G signal containing the data sets, and send the 5G signal to the microprocessor. The microprocessor determines a communication channel for the microprocessor according to the identification of the industrial apparatus in the data set, and can find a data processing rule, a data storage rule, and a data emission rule corresponding to the communication channel in a relationship table. The data is processed accordingly enabling a safe, efficient, and convenient transmission of data sets between the microprocessor and the industrial apparatus.

Abstract: A method for structuring transmissible data of various types with universal applicability as between devices of various types includes a data content, a first data header, and a second data header. The first data header signifies numerical data or control/command data. The second data header is a description of a data group to which the collected data belongs. The data further can include a third data header configured to describe production process information of the data. The data further can include a fourth data header to describe a product type, an industrial field, a company name, and a company address.

Abstract: A 5G-based communication method for an industrial apparatus can be implemented in industrial apparatus during manufacturing operations, and a microprocessor. The industrial apparatus can collect data sets concerning itself, generate a 5G signal containing the data sets, and send the 5G signal to the microprocessor. The microprocessor determines a communication channel for the microprocessor according to the identification of the industrial apparatus in the data set, and can find a data processing rule, a data storage rule, and a data emission rule corresponding to the communication channel in a relationship table. The data is processed accordingly enabling a safe, efficient, and convenient transmission of data sets between the microprocessor and the industrial apparatus.

Abstract: The disclosure relates to compositions and methods for treatment, such as inducing regression or inhibiting growth, of tumors in a patient such as a human. Use of gemcitabine, including in self-emulsifying orally administered dosage forms for these purposes is described. Gemcitabine is orally administered in a metronomic manner, which involves repeatedly administering a therapeutic amount of gemcitabine, being a fraction of the maximum tolerated dose, over an extended period of time, preferably on a non-interrupted schedule of weeks, months, or indefinitely.

Abstract: Methods and apparatuses are described for automated computer text classification and routing using artificial intelligence transfer learning. A server trains a word embedding model using one-hot vectors of word pairs from a filtered first corpus of unstructured computer text and a filtered second corpus of unstructured computer text, using an artificial intelligence neural network. The server trains a long short-term memory model using vector matrices that correspond to sentences in the filtered second corpus of unstructured computer text, and labels. The server receives a message, generates a matrix for each sentence in the message by applying the trained word embedding model, generates one or more labels, and a probability for each label, for each sentence in the message by applying the trained long short-term memory model, and routes the message to a second client computing device based upon an assigned label.

Abstract: A computer-implemented method of training, using a computer log file, an application error prediction engine to identify one or more application errors includes parsing the computer log file into a plurality of data sets. Each data set is associated with a unique computing session having a session identifier and ending in an application or. The method also includes extracting, from each data set, values for a specified set of parameters in each data set. The method also includes encoding the extracted values for each data set into a corresponding data structure. The method also includes generating, for each data structure, a corresponding vector, the corresponding vectors collectively forming a matrix. The method also includes calculating, based on the matrix, a set of clusters, each cluster corresponding to a known error type, the set of clusters used to create a model used to identify new error types.

Abstract: Methods and apparatuses are described for automated computer text classification and routing using artificial intelligence transfer learning. A server trains a word embedding model using one-hot vectors of word pairs from a filtered first corpus of unstructured computer text and a filtered second corpus of unstructured computer text, using an artificial intelligence neural network. The server trains a long short-term memory model using vector matrices that correspond to sentences in the filtered second corpus of unstructured computer text, and labels. The server receives a message, generates a matrix for each sentence in the message by applying the trained word embedding model, generates one or more labels, and a probability for each label, for each sentence in the message by applying the trained long short-term memory model, and routes the message to a second client computing device based upon an assigned label.

Abstract: An anti-counterfeit method for assisting in face recognition includes the following steps: capturing a dynamic image of an object; filtering a plurality of time-varying signals from the dynamic image to obtain a plurality of filter signals; and comparing the filter signals and preset biological information that corresponds to the object, to output a determining result. When the dynamic image of the object is captured, according to this method, at least one region is interest is set in the dynamic image, and each time-varying signal corresponds to a time-varying gray-scale value of at least one pixel of the dynamic image in the region of interest. An anti-counterfeit system is also provided.

Abstract: The present invention provides an oral self micro-emulsifying pharmaceutical composition of a hydrophilic drug or a pharmaceutically acceptable salt thereof which, in addition to the hydrophilic drug, one or more solvents for solving the hydrophilic drug to form a drug-solvent solution and a surfactant system, further comprises one or more hydrophilic carrier which are compatible with said drug-solvent solution and the surfactant system. The oral self micro-emulsifying pharmaceutical composition of the invention exhibits comparative bioavailability to that of the hydrophilic drug through injection and is stable during storage. A method for preparing the oral self micro-emulsifying pharmaceutical composition is also provided.

Abstract: A remote control method, and a remote control system and a gateway for implementing the method are provided. The method includes receiving, by a remote control device, a plurality of ultra-wideband signals transmitted by a main control device to calculate position data; calculating, by the remote control device, rotation vector data according to detection data of the remote control device; transmitting, by the remote control device, the rotation vector data and the position data to the main control device to allow the main control device to identify an electronic device the remote control device aims at and transmit control information corresponding to the electronic device to the remote control device according to the rotation vector data and the position data; and displaying, by the remote control device, a control interface for controlling the electronic device according to the received control information.