Abstract: In various embodiments, a layer of organic encapsulant is provided over a surface of an ultraviolet (UV) light-emitting semiconductor die, and at least a portion of the encapsulant is exposed to UV light to convert at least some of said portion of the encapsulant into non-stoichiometric silica material. The non-stoichiometric silica material includes silicon, oxygen, and carbon, and a carbon content of the non-stoichiometric silica material is greater than 1 ppm and less than 40 atomic percent.

Abstract: The present invention relates to a selective reduction of specific aldehydes and ketones to their corresponding alcohols.

Abstract: A method, a device, and a computer program product for parallel data transmission are provided in embodiments of the present disclosure. The method includes obtaining attributes of data to be transmitted from a first storage device to a second storage device and a network condition between the first storage device and the second storage device. The method also includes determining a number of concurrencies and a data slice size for use in parallel transmission of the data based on the attributes of the data and the network condition, and transmitting the data in parallel between the first storage device and the second storage device using the determined number of concurrencies and the data slice size. In embodiments of the present disclosure, during parallel data transmission, the appropriate number of concurrencies and data slice size can be selected according to attributes of data to be transmitted and an actual network condition.

Abstract: The embodiments of the present disclosure provide data processing methods, apparatuses and storage media. One of the methods includes: determining total stay time corresponding to a plurality of captured images involving a target person visited within a preset time range; determining a popularity ranking result for the plurality of vehicle models based on the total stay time for each of the plurality of vehicle models; and sending the popularity ranking result for the plurality of vehicle models to a terminal.

Abstract: Different fraud risk models can be developed and applied for a consortium of e-commerce merchants. With this multi-phase modeling strategy, a consortium member can get its optimal model performance at different data phases from an early phase where the consortium member does not have any historical data, to a more mature phase where the consortium member has a short time period of matured data, to a fully mature phase where the consortium member has a long-time period of matured data. On the other hand, the matured consortium data is not affected by the immature data from new members. Thus, the model performance for long-time existing members is not affected by new members at immature phases.

Abstract: An information presentation method and apparatus is provided. The method may include: acquiring driving data of a vehicle; and presenting information associated with a driving process of the vehicle to a user by using a visualization tool, wherein the visualization tool is constructed based on an information generation interface, and the information generation interface is capable of generating an information item corresponding to the information generation interface based on the driving data of the vehicle, the information item is in the information associated with the driving process.

Abstract: A system is described herein for managing digital transactions over a network with incomplete information. The system includes a data collection component and a transaction control component that may employ a prospective control model that is trained with fully matured data as well as partially matured data regarding past digital transactions. The transaction control component is configured to estimate an inauthentic rate of inauthentic digital transactions being wrongly approved for a current time period. A set of future reference values may be determined based on the estimated inauthentic rate. The set of future reference values relate to a predicted future decision made for the digital transaction. A set of current values may be determined based on the set of future reference values. Based on the set of current values, the transaction control component may determine whether the digital transaction should be rejected as inauthentic or approved as authentic.

Abstract: Risk scores are generated by systems that use features or inputs from the current transactions, some summary statistics like velocity and some statistics calculated in batch mode which traverse hierarchical classification levels of entities, including classified attribute levels of known transactions, to identify neighborhoods of related entities and related transactions. Corresponding records of transaction information are extracted from or are otherwise generated from neighborhoods of the related transactions associated with the defined neighborhoods of entities/transactions.

Abstract: System and method for recipe discovery and consumption logging. Improved solutions enable intelligent management of a user's personal fitness journey i.e., based on their overall health in their exercise and dietary habits. In one exemplary embodiment, recipes may be curated and tagged from a variety of sources such as health and fitness blogs and/or other articles of interest. Recipe tagging ensures that users can retrieve only the specific recipes of interest to them from a variety of sources which may be focused on the public at large. Additionally, the recipe discovery and consumption logging interface may enable users to log actual consumption activity for a selected recipe, including ad hoc user modifications to recipe ingredients.

Abstract: This disclosure relates to a method, a device, and a computer program product for managing a data object. In a method, a migration request for migrating a data object from the source application system to the destination application system is received. The migration request is validated based on a set of migration records in the data flow blockchain comprising a migration history of the data object being migrated between a plurality of application systems. A migration record associated with the migration request is added into the data flow blockchain in response to the validation of the migration request. The data object is migrated from the source application system to the destination application system.

Abstract: A laser scanning device (10), comprising: a system on chip structure (110) configured to receive and process a graphic data transmitted by an external computer (20) to generate a galvanometer movement instruction and a laser control instruction; and galvanometer (120) configured to receive the galvanometer movement instruction and move according to the galvanometer movement instruction; wherein the laser control instruction is transmitted to an external laser (30), so that the laser (30) and the galvanometer (120) move synchronously. The above laser scanning device (10) and scanning system can integrate a laser control function and a galvanometer control function into the same chip by a system on chip design, which does not only reduce cost of the system, but also improve reliability of the system.

Abstract: A rigid-flexible coupled unmanned aerial vehicle (UAV) morphing wing and an additive manufacturing method thereof are disclosed. A shape memory alloy (SMA) strip/wire for controlling the wing upward deformation and an SMA strip/wire for controlling the wing downward deformation are arranged alternately, and a plurality of reinforcing ribs are arranged at intervals on the SMA strips/wires for controlling the wing upward deformation and the SMA strips/wires for controlling the wing downward deformation. The SMA strips/wires for controlling the wing upward deformation and the SMA strips/wires for controlling the wing downward deformation are arranged on a flexible substrate, and are wrapped with an insulating covering. The SMA strips/wires for controlling the wing upward deformation and the SMA strips/wires for controlling the wing downward deformation each are provided with an electric heating element.

Abstract: Methods, systems, apparatuses, and computer program products are provided for extracting an entity value from a sentence. An embedding set that may include one or more sentence embeddings is generated for at least part of a first sentence that is tagged to associate a first named entity in the sentence with an entity type. A plurality of candidate embeddings is also generated for at least part of a second sentence. The one or more sentence embeddings in the embedding set may be compared with each of the plurality of candidate embeddings, and a match score may be assigned to each comparison to generate a match score set. A particular match score of the match score set may be identified that exceeds a similarity threshold, and an entity value of the entity type may be extracted from the second sentence associated with the identified match score.

Abstract: Apparatuses and methods for predicting a crash using estimated vehicle speed. A set of sensor measurements are received from a mobile device disposed within a vehicle. A set of contiguous windows based on the sensor measurements may be defined. Each contiguous window represents a contiguous portion of the sensor measurements. A set of sensor measurements may be defined for each contiguous window. A trained neural network may execute, using the set of features, to generate one or more speed predictions. A vehicle crash prediction may be generated using the speed prediction. The vehicle crash prediction may then be transmitted to a remote device.

Abstract: The present application provides a method including acquiring, at a user equipment, a list of hosted applications returned by a network device in response to detecting an indication input for invoking a hosted application; determining a hosted application object to be shared based on the list of the hosted applications, determining a recipient for the hosted application object to be shared based on a network environment; and transmitting a request for recommendation information on the hosted application object to be shared and identification information of the recipient to the network device, so that the network device transmits corresponding recommendation information to the recipient, and the request for the recommendation information comprises identification information of the hosted application object to be shared. The hosted application is launched by detecting the indication input for invoking the hosted application, so that sharing of the hosted application object is directly triggered.

Abstract: Provided is a method for preparing a PD-1 gene-modified humanized animal model. The method utilizes the CRIPSR/Cas9 technique to replace partial fragments of a mouse PD-1 gene with fragments of a human PD-1 gene using homologous recombination by constructing a targeting vector, thereby preparing a gene-modified humanized mouse. This mouse can normally express a PD-1 protein containing the functional domain of the human PD-1 protein, and can be used as an animal model for mechanism research regarding PD-1, PD-L1 and other signals, for screening regulators, and for toxicological research. The method has an important and high application value in studies on functions of the PD-1 gene and in the development of new drugs.

Abstract: It is an objective of the invention to provide a Ni-based superalloy cast article exhibiting the corrosion resistance compatible or superior to the conventional ordinary precision cast articles and reducing the cost than the conventional ones while maintaining the mechanical properties compatible to the conventional ones. There is provided a Ni-based superalloy cast article including: 12.1 to 16 mass % of Cr; 4 to 16 mass % of Co; 3 to 5 mass % of Al; 2.1 to 3.3 mass % of Ti; 3.5 to 9 mass % of W; 1 to 2.4 mass % of Mo; 1.2 mass % or less of Nb; 0.005 to 0.05 mass % of B; 0.03 to 0.2 mass % of C; more than 0 mass % and 0.005 mass % or less of O; and the balance being Ni and impurities.

Abstract: This document presents multi-layered, self-calibrating analytics for detecting fraud in transaction data without substantial historical data. One or more variables from a set of variables are provided to each of a plurality of self-calibrating models that are implemented by one or more data processors, each of the one or more variables being generated from real-time production data related to the transaction data. The one or more variables are processed according to each of the plurality of self-calibrating models implemented by the one or more data processors to produce a self-calibrating model output for each of the plurality of self-calibrating models. The self-calibrating model output from each of the plurality of self-calibrating models is combined in an output model implemented by one or more data processors. Finally, a fraud score output for the real-time production data is generated from the self-calibrating model output.