Abstract: A low-carbon and low-alloy dual-phase steel and hot-dip galvanized dual-phase steel having tensile strength greater than or equal to 980 MPa and a method for manufacturing by means of rapid heat treatment. The steel has the following chemical components in percentage by mass: C: 0.05-0.17%, Si: 0.1-0.7%, Mn: 1.4-2.8%, P?0.020%, S?0.005%, B?0.005%, and Al: 0.02-0.055%, and may further contain two or more of Nb, Ti, Cr, Mo, and V, Cr+Mo+Ti+Nb+V?1.1%, the balance is Fe and other inevitable impurities. The method for manufacturing the steel comprises: smelting, casting, hot rolling, cold rolling and rapid heat treatment procedures. According to the present invention, the recovery, recrystallization and austenite transformation process of a deformed structure is changed, the nucleation rate is increased, the grain growth time is shortened, grains are refined, the strength of the material is improved, and the performance range of the material is expanded.

Abstract: A hardware acceleration method includes obtaining compilation policy information and a source code, where the compilation policy information indicates that a first code type matches a first processor and a second code type matches a second processor; analyzing a code segment in the source code according to the compilation policy information; determining a first code segment belonging to the first code type or a second code segment belonging to the second code type; compiling the first code segment into a first executable code; sending the first executable code to the first processor; compiling the second code segment into a second executable code; and sending the second executable code to the second processor.

Abstract: The present disclosure provides a data acquisition and control system of pulsed power supply for multi-load, and relates to the technical field of pulsed power. The system of the present disclosure is configured to control 18 sets of pulsed power supplies to provide 18 coils with stable and reliable excitation current featuring multiple output time sequences and flexible adjustability, such that a near-earth space plasma environment ground-based simulation device can simulate the magnetic field topology of the earth magnetosphere and realize a background magnetic field required by physical experiments. The system mainly achieves the following functions: control over charge and discharge of pulsed power supplies, selection of power supplies put in use, “delay trigger” setting, voltage monitoring, status monitoring of key components and output current display; and it is also necessary to realize failure alarm and failure handling for the purpose of ensuring the safety of equipment and personnel.

Abstract: A solid dispersion comprising: (a) a pharmaceutical active ingredient or a nutraceutical active ingredient having a low solubility; and (b) sodium or potassium alginate. In addition, a drug dosage form prepared from such a solid dispersion.

Abstract: A nanosuspension comprising (a) a pharmaceutical active ingredient or nutraceutical active ingredient having low solubility; (b) at least one alginate selected from the group consisting of (i) sodium alginate having a viscosity of 100 mPa·s or less in a 1% solution in water at 20° C. and (ii) potassium alginate; and (c) water. Also, a drug dosage form prepared from such a nanosuspension.

Abstract: The present disclosure relates to nanoparticles containing cellular membrane and uses thereof. The nanoparticle comprises an interior compartment (or an inner core) and an outer surface (or shell) comprising a cellular membrane derived from a cell, said interior compartment (or an inner core) not providing a solid support to said cellular membrane in said outer surface (or shell). The present disclosure also relates to processes of making the nanoparticles. The present disclosure further relates to compositions comprising the nanoparticles and methods of using the nanoparticles.

Abstract: Embodiments of the disclosure provide methods and systems for jointly predicting movement trajectories of a plurality of moving objects. The system includes a communication interface configured to receive a map of an area in which the plurality of moving objects are traveling and sensor data acquired associated with the plurality of moving objects. The system further includes at least one processor configured to position the plurality of moving objects in the map. The at least one processor further determines object features of each moving object based on the sensor data, and determines regulation features of the moving objects. The object features characterize movement of the respective moving object, and the regulation features characterize traffic regulations the moving objects need to obey. The at least one processor also jointly predicts the movement trajectories of the plurality of moving objects based on the object features and regulation features using a learning model.

Abstract: Embodiments of the disclosure provide methods and systems for predicting a trajectory of a bicycle ridden by a cyclist. The system includes a communication interface configured to receive a map of an area in which the bicycle is traveling and sensor data acquired associated with the bicycle. The system includes at least one processor configured to position the bicycle in the map, identify the cyclist riding the bicycle, and identify one or more objects surrounding the bicycle based on the positioning of the bicycle. The at least one processor is further configured to extract features of the bicycle, the cyclist, and the one or more objects from the sensor data. The at least one processor is also configured to predict the trajectory of the bicycle based on the extracted features using a learning model.

Abstract: Embodiments of the disclosure provide methods and systems for predicting a trajectory of a vehicle. An exemplary system includes a communication interface configured to receive a map of an area in which the vehicle is traveling and sensor data acquired associated with the vehicle. The system includes at least one processor configured to position the vehicle in the map and identify one or more objects surrounding the vehicle based on the positioning of the vehicle. The at least one processor is further configured to extract features of the vehicle and the one or more objects from the sensor data. The at least one processor is also configured to determine a plurality of candidate trajectories, determine a probability for each candidate trajectory based on the extracted features, and identify the candidate trajectory with the highest probability as the predicted trajectory of the vehicle.

Abstract: Embodiments of the disclosure provide methods and systems for predicting a movement trajectory of a pedestrian. The system includes a communication interface configured to receive a map of an area in which the pedestrian is traveling and sensor data acquired associated with the pedestrian. The system includes at least one processor configured to position the pedestrian in the map, and extract pedestrian features from the sensor data. The at least one processor is further configured to identify one or more objects surrounding the pedestrian based on the positioning of the pedestrian, and extract object features of the one or more objects from the sensor data. The at least one processor is also configured to predict the movement trajectory and a movement speed of the pedestrian based on the extracted pedestrian features and object features using a learning model.

Abstract: Techniques are provided for implementing a probabilistic system and architecture to predict and optimize particular user activity. In one technique, opportunity application data that indicates multiple applications to multiple opportunities is stored. Tracking data that indicates, for each opportunity, a number of reviewer actions with respect to applications to the opportunity is stored. Based on the tracking data, one or more machine learning techniques are used to learn parameters of a model that takes, as input, a number of weighted applications of an opportunity and generates, as output, a prediction of a confirmed hire for the opportunity. A particular opportunity is identified and a first number of reviewer actions with respect to the particular opportunity is determined. A second number of weighted applications for the particular opportunity is generated based on the first number. The second number is input into the model to generate a score for the particular opportunity.

Abstract: Described herein are improvements relating to IGF-1 analysis, adjustment and disease management of non-neurological and/or neurological conditions. More specifically, methods relating to the clinical application of cyclic glycine-proline (cGP) biomarker for prediction of risk and recovery of non-neurological and/or neurological conditions with IGF-1 dysfunction and the use of a cGP containing organic or plant based material such as concentrated extract of blackcurrant anthocyanins (BCA) for the treatment of same. The methods more accurately measure IGF-1 function in vivo indirectly using cGP and cGP/IGF-1 ratio along with a means to adjust cGP and cGP/IGF-1 ratio (and hence active IGF-1 concentration), and specific treatment methods for individuals with a lower or reduction of cGP level relative to a standard set of baseline data.

Abstract: A technical problem of multi-objective optimization of job applications redistribution in an online connection network system is addressed by incorporating monetary value of job applications as a signal into a ranker for ranking jobs with respect to a member profile in job search and recommendations. The monetary value of job applications is used in addition to the relevance signal and is determined by executing a machine learning model that accounts for the covariates that could impact monetary value of an application for a job.

Abstract: The present disclosure relates to systems and methods for processing traffic objects. The systems may receive detection information associated with a plurality of traffic objects within a predetermined range of a vehicle; extract feature values of a plurality of features of each of the plurality of traffic objects from the detection information; obtain a plurality of feature weights corresponding to the plurality of features of each traffic object; and determine a priority queue associated with the plurality of traffic objects based on a plurality of priority values, each corresponding to each traffic object, wherein the priority value is based on the plurality of feature weights and the feature values of each traffic object.

Abstract: In some embodiments, the disclosed subject matter involves a system and method relating to evaluating the quality of recommendations provided to a member of a recommendation service. Techniques and embodiments described herein may be applied to various recommendation services/engines. Middleware may be used to receive a member ID from a user and forward the member ID to a recommendation engine without the user having to log on as the member to access recommendations. Results of the recommendation engine may be received by the middleware and forwarded to the user for the selected member to be displayed proximate to the member profile. The user may annotate the recommendations with a relevancy rating to evaluate the quality of the recommendation engine and provide input to retrain recommendation models of the engine. Other embodiments are described and claimed.

Abstract: A nanosuspension comprising (a) a pharmaceutical active ingredient or nutraceutical active ingredient having low solubility; (b) at least one alginate selected from the group consisting of (i) sodium alginate having a viscosity of 100 mPa·s or less in a 1% solution in water at 20° C. and (ii) potassium alginate; and (c) water. Also, a drug dosage form prepared from such a nanosuspension.

Abstract: A solid dispersion comprising: (a) a pharmaceutical active ingredient or a nutraceutical active ingredient having a low solubility; and (b) sodium or potassium alginate. In addition, a drug dosage form prepared from such a solid dispersion.