Abstract: Provided are a method for purifying and crystallizing the LPOR protein, by means of which method a protein and crystal with complete structures can be obtained. Also provided are the three-dimensional spatial structure and binding site of the LPOR protein, and the use of the protein.

Abstract: A method, computer program product, and system for upgrading an IT system are provided. The method comprises: determining a plurality of existing components of the IT system; determining at least one user component based on a user requirement; building a structural topology of the IT system in accordance with the plurality of existing components and the at least one user component, the structural topology comprising the plurality of existing components, at least one connection among the plurality of existing components, and the at least one user component with its conditional connection, the conditional connection comprising the dependency of the at least one user component; and providing at least one upgrade recommendation for the IT system in accordance with the structural topology.

Abstract: Disclosed herein is a method of enhancing RAA isothermal amplification sensitivity using magnetic beads and applications in nucleic acid analysis and detection and medical diagnosis, belonging to the biomedical engineering field, comprising: (1) material selection of magnetic beads, (2) optimization of diameter of magnetic beads, (3) optimization of mixing time of magnetic beads, and (4) sensitivity detection method of magnetic beads for RAA isothermal detection, wherein the material of magnetic bead is steel bead, the diameter of the magnetic bead is 1.5 mm, the mixing time of the magnetic bead is 30 s, and the detection method of isothermal RAA results includes agarose gel and fluorescence detection. Under this condition, the sensitivity of magnetic beads for RAA isothermal amplification is increased by 10 times compared to that without adding magnetic beads, and increased by 100 times compared to that of other types of fluorescence detectors.

Abstract: A computer-implemented method is provided for processing a set D of conversation logs. The method includes learning, by a processor device, a set R of entity relation mining rules from a set K of known entity utterances uttered by known entities. The method further includes automatically recommending, by the processor device, extended utterances of the known entities from unrecognized ones of the known entities based on the set R.

Abstract: A method stored in a computer readable medium, including identifying a predetermined object having viewable information from a plurality of frames, identifying a movement of the predetermined object from a video stream of the plurality of frames, identifying a current state of the predetermined object based on a movement of another object or region from the plurality of frames having an occlusion region of a current frame, determining an information change of the viewable information in the plurality of frames, marking a frame with maximum information of the viewable information in the predetermined object as a key frame; and serializing the key frame according to time stamps.

Abstract: A system for automating a process using robotic process automation code includes a memory device for storing program code, and at least one processor device operatively coupled to the memory device. The at least one processor device is configured to execute program code stored on the memory device to process, based on a contextual dictionary, a process description document associated with a process to be automated by a robotic process automation system, automatically generate robotic process automation code based on the processing, and execute the robotic process automation code for automating the process.

Abstract: Embodiments of the present invention relate to computer-implemented methods, systems, and computer program products for managing a conversational system. In one embodiment, a computer-implemented method comprises: obtaining, by a device operatively coupled to one or more processors, a first message sequence comprising messages involved in a conversation between a user and a conversation server; obtaining, by the device, a conversation graph indicating an association relationship between messages involved in a conversation; and in response to determining that the first message sequence is not matched in the conversation graph, updating, by the device, the conversation graph with a second message sequence, the second message sequence being generated based on a knowledge library including expert knowledge that is associated with a topic of the conversation.

Abstract: Systems and method for automated contextual dialog generation for cognitive conversations include embedding a natural language sentence input by a user into a corresponding sentence vector using a sentence embedder. A context array is generated using a contextual sentence embedder to embed the sentence vector and previous sentence vectors of a conversation history into a context array. Response words are predicted from the sentence vector by performing sequence-to-sequence dialog prediction with a dialog prediction network. Context of the input sentence is quantified by extracting context features from the context array using a situation quantification network. A response dialog is generated in natural language to display to a user, the response dialog responding to the input sentence with a response generator by determining a dialog state including the response words and the quantified context and optimizing the response dialog with reinforcement learning corresponding to the dialog state.

Abstract: A computer-implemented method, computer program product, and computer processing system are provided for generating inferences from a forest of predefined problem determination trees using a processor-based conversation platform. The method includes selecting a tree from among the forest of predefined problem determination trees, responsive to user utterances uttered during an inference generating session. The method further includes navigating the tree to allocate a relevant tree node to generate a problem diagnosis question or a problem resolution action by understanding the user utterances among common interaction patterns in problem diagnosis and problem resolution dialogs. The method also includes providing speech for uttering the problem diagnosis question or the problem resolution action to a user.

Abstract: Methods and systems for automating user interactions include annotating chat logs to identify user intent in question-answer pairs. A classifier is trained, using the annotated chat log, to identify user intent in automated conversations. Chat flows are formed, using the annotated chat logs, that provide responses to user statements based on identified user intent. An automated conversation is conducted with a user, using the chat flows and the classifier, to provide automated responses to user statements.

Abstract: A method, system, and computer program product, include obtain values of one or more variables from a plurality of log instances of a first format of an application, extract one or more features for each of the variables based on the obtained values, and determine a type for each of the variables by feeding the extracted features to a classifier trained by a plurality of log instances of a second format of the application.

Abstract: A vehicle occupant comfort system, comprises a processor that stores computer executable components stored in memory. A plurality of sensors sense ambient conditions associated with exterior and interior conditions of a vehicle. A context component infers or determines context of an occupant of the vehicle. A comfort model component implicitly and explicitly trained on occupant comfort related data analyzes information from the plurality of sensors and context component. A comfort controller adjusts environmental conditions of a passenger compartment of the vehicle based at least in part on output of the comfort model component.

Abstract: A vehicle occupant comfort system, comprises a processor that stores computer executable components stored in memory. A plurality of sensors sense ambient conditions associated with exterior and interior conditions of a vehicle. A context component infers or determines context of an occupant of the vehicle. A comfort model component implicitly and explicitly trained on occupant comfort related data analyzes information from the plurality of sensors and context component. A comfort controller adjusts environmental conditions of a passenger compartment of the vehicle based at least in part on output of the comfort model component.

Abstract: A computer implemented method of pre-emptively blocking an electronic communication is provided. The computer implemented method includes inputting an electronic communication history, wherein the electronic communication history includes a plurality of electronic communications and a set of corresponding recipients for each of the plurality of electronic communications. The computer implemented method further includes normalizing the plurality of electronic communications, and extracting a topic from each of the plurality of electronic communications. The computer implemented method further includes clustering the plurality of electronic communications according to the extracted topics, and digesting the plurality of electronic communication to form a positive learning data set and a negative learning data set to train a neural network.

Abstract: A computer-implemented method for health monitoring using artificial intelligence based on sensor data includes collecting sensor data from one or more wearable devices affixable to a user, each wearable device including one or more sensors, predicting a risk of premonitory symptoms based on the sensor data by using a neural network model, and transmitting an alert to one or more entities associated with the user based on the predicted risk.

Abstract: A measurement device and method for focusing and leveling are disclosed. The device includes a measuring optical path and a first monitoring optical path. Measuring light in the measuring optical path interacts with a wafer and is then incident on a measuring detector to form thereon a measuring mark. First monitoring light in the first monitoring optical path is incident on a measuring detector to form thereon a first monitoring mark. An error in a measurement result of the wafer that arises from a drift of the measuring detector can be eliminated by compensating for a vertical deviation of the wafer obtained by subtracting a drift of the first monitoring mark from a displacement of the measuring mark. In this way, measurement accuracy and stability can be improved by monitoring and correcting the drift of the measuring detector.

Abstract: A system is provided for facilitating medical conversation. The system includes a user interface, having a Natural Language Processing (NLP) system and an Automatic Speech Recognition (ASR) system, for processing user utterances to extract symptoms, attribute types and attribute values from a user. The system further includes a memory for storing program code. The system also includes a processor for running the program code to transform the symptoms, the attribute types, and the attribute values into a graph and extract relative entities and relationships of the relative entities from the graph. The processor further runs the program code to calculate an Inquiry Efficiency Index (IEI) of each candidate inquiry path based on the relative entities and the relationships of the relative entities. The processor additionally runs the program code to calculate a recommended inquiry path from among the candidate inquiry paths based on the IEI of each candidate inquiry path.

Abstract: A computer-implemented method is provided for processing a set D of conversation logs. The method includes learning, by a processor device, a set R of entity relation mining rules from a set K of known entity utterances uttered by known entities. The method further includes automatically recommending, by the processor device, extended utterances of the known entities from unrecognized ones of the known entities based on the set R.