Abstract: Automated development and training of deep forest models for analyzing data by growing a random forest of decision trees using data, determining Out-of-bag (OOB) predictions for the forest, appending the OOB predictions to the data set, and growing an additional forest using the data set including the appended OOB predictions, and combining the output of the additional forest, then utilizing the model to classify data outside the training data set.

Abstract: An approach is provided in which the approach generates a parallel chart based on multiple records that includes a set of variable values corresponding to a set of variables. To generate the parallel chart, the approach arranges the set of variables on the parallel chart in a variable order based on at least one variable arrangement rule. The approach arranges an initial variable value order for each one of the set of variables, and computes a lucidity score based on the variable order and the initial variable value order of each of the set of variables. The lucidity score is a measurement of the clarity of the parallel chart. The approach adjusts the variable value order of at least one of the set of variables to increase the lucidity score and optimizes the clarity of the parallel chart based on the adjusted variable value order.

Abstract: A method for searching for a clipping template includes: in a video editing scenario, a server device acquires a first multimedia resource specified by a user and carries out searching according to the first multimedia resource specified by the user, to obtain a target clipping template matching the first multimedia resource, the target clipping template being used to indicate that multimedia material to be clipped is clipped, on the basis of a target clipping method, into a second multimedia resource.

Abstract: The present disclosure discloses a publicity-education pushing method and system based on a multi-source information fusion. The method includes: step S1: constructing a patient publicity-education knowledge graph, and pushing the patient publicity-education knowledge graph to a patient through a publicity-education applet; step S2: fusing and correcting patient basic information, patient diagnosis-treatment information, patient eye movement information and a patient personality inventory to obtain patient multi-source information; step S3: constructing a compliance prediction model through a neural network by using the patient multi-source information and collected patient medication taking behavior data; and step S5: building a system rule base, and after searching for a corresponding disease and treatment in the patient publicity-education knowledge graph through information returned by the system rule base, pushing the disease and the treatment to the patient through the publicity-education applet.

Abstract: A method is provided for operating a system to automatically conduct hygiene cycles for a confined space such an interior space of a box suitable for storing and/or carrying packaged food. The system may include a hygiene device that can be attached to the box to conduct the hygiene cycles and a mobile device that can wirelessly communicate with the hygiene device to control the conduction of the hygiene cycles. The method may include automatically collecting information related to the hygiene cycles using the hygiene device and transmitting the collected information to a network directly or through the mobile device.

Abstract: Building materials that include a structure such as a structural support are described, wherein the structure defines a plurality of cavities at least partially filled with a polymeric foam. The polymeric foam may include a hydrophobic polyurethane foam having a density less than 5 pcf and/or the structure may include a hydrophobic polymer.

Abstract: An electronic device may include wireless circuitry with first and second receivers. Each receiver may include circuitry for receiving radio-frequency signals using a first radio access technology (RAT) and using second or additional RATs. The wireless circuitry may perform system selection in which the receivers attempt to acquire a signal transmitted by a base station using different RATs. The first receiver and the second receiver may concurrently perform system selection in which the first receiver performs a band scan over the first RAT while the second receiver concurrently performs a band scan over a second or additional RAT. Additional band scans may be performed as needed until a signal is acquired. Once a signal is acquired, the wireless circuitry may establish cellular communications with the wireless base station based on the acquired signal. This may minimize the amount of time required to begin cellular telephone communications in many situations.

Abstract: Solid-state lithium ion electrolytes of lithium fluoride based composites are provided which contain an anionic framework capable of conducting lithium ions. Composites of specific formulae are provided and methods to alter the composite materials with inclusion of aliovalent ions shown. Lithium batteries containing the composite lithium ion electrolytes are provided. Electrodes containing the lithium fluoride based composites are also provided.

Abstract: A gripping device comprising: a base; at least one pair of extendable linkages connected at a proximal end to the base; each extendable linkage having a gripping finger extending from a distal end of the extendable linkage; wherein the extendable linkages are arranged to extend or retract from the base so as to increase a radial distance between the gripping fingers.

Abstract: A comfort brake control system and a brake method for a vehicle is disclosed. The comfort brake control system includes: a human-machine interaction interface, configured to provide an interface of multiple optional comfort brake levels of the vehicle, and receive selection of one of the multiple comfort brake levels to switch a current comfort brake level of the vehicle, wherein each comfort brake level comprises a brake parameter corresponding to the comfort brake level, and the brake parameter comprises at least brake pressure and a brake pressure change rate of at least one brake cylinder of the vehicle; and a comfort brake module, configured to determine whether a current state of the vehicle meets a predetermined switching condition; and when it is determined that the switching condition is met, obtain a brake parameter corresponding to a selected comfort brake level, and transmit the obtained brake parameter to a brake system of the vehicle by using a vehicle bus of the vehicle.

Abstract: A video encoding method includes: based on at least one of first distortion aware information about a current encoding unit and second distortion aware information about a corresponding reference encoding unit, determining a first predicted value of the current encoding unit using at least one interpolation filter, wherein the at least one type of interpolation filter may include an artificial intelligence (AI) interpolation filter; and encoding the current encoding unit based on the first predicted value of the current encoding unit.

Abstract: A comfort brake control system and control method for a vehicle are disclosed. The vehicle has multiple optional comfort brake levels, and each comfort brake level includes one or more brake parameters corresponding to the comfort brake level. The comfort brake control system includes: a human-machine interaction interface, configured to provide an interface for modifying the one or more brake parameters and receive a modification to at least one of the one or more brake parameters; and a comfort brake module, configured to determine whether the modification satisfies a safety requirement, allow the modification when it is determined that the modification satisfies the safety requirement, and prohibit the modification when it is determined that the modification does not satisfy the safety requirement; wherein the comfort brake module is further configured to assess a comfort degree of vehicle braking after the modification if it is determined that the modification satisfies the safety requirement.

Abstract: An approach is provided in which the approach trains a first machine learning model using a set of features corresponding to a set of build blocks. The set of build blocks include at least one dependency build block and at least one artifact package build block. The approach predicts a set of risk values of the set of build blocks using the trained first machine learning model, and marks at least one of the build blocks as a bottleneck in response to comparing the set of risk values against a risk threshold.

Abstract: This disclosure provides a computer-implemented method, a computer system and a computer program product for database compression oriented to combinations of fields of a database record. One or more combinations of fields of a record of a database are determined that satisfy a frequency criterion indicating that access frequencies of the one or more combinations of fields are higher than an access frequency threshold. The record is reorganized based on the one or more combinations of fields to store fields of each combination of the one or more combinations of fields in a respective contiguous storage space. The reorganized record is compressed by applying a compression scheme to the one or more combinations of fields.

Abstract: This application discloses a channel estimation method and apparatus. When time-domain channel estimation is performed on a first slot, the first slot and at least one second slot are first determined. The first slot and each second slot form continuous slots. Then, a first signal corresponding to the first slot and a second signal corresponding to each second slot are obtained, and a time-domain channel estimate for the first slot is determined based on the first signal and each second signal. In embodiments of this application, when a time-domain channel estimate for a specific slot is determined, time-domain channel estimation is performed by using time-domain correlation of channels in combination with signals of a plurality of slots, so as to obtain a more accurate channel estimation result, thereby improving baseband demodulation performance.

Abstract: Systems and methods for adjusting light emitted from a display of a device are provided. The adjusting includes obtaining, from light of an environment detected by at least one sensor, a measured color of light of the environment, and obtaining, from light of the environment detected by at least one sensor, a measured brightness of light of the environment. In response to the obtaining the measured color and the measured brightness of light, a color of light emitted from the display is adjusted from an initial color prior to the adjusting to a target color that matches the measured color. Further, a brightness of light emitted from the display is adjusted from an initial brightness emitted by the display prior to the adjusting to a target brightness that matches the measured brightness of light.

Abstract: Embodiments of the present disclosure relate to a method, system, and computer program product for predictive models. According to the method, a processor may provide a first list including at least one input variable of a predictive model and a second list including a plurality of variables of the predictive model. For each of input variables in the second list, the processor may determine contribution of the input variable to prediction of the predictive model with respect to the at least one input variable in the first list. The processor may update the first list by moving an input variable in the second list into the first list based on the determined contribution of the plurality of input variables. The processor may render one or more of input variables in the updated first list based on an order of the input variables in the updated first list.

Abstract: Systems and methods for automatically detecting and isolating objects in images. An image containing at least one object of interest is segmented by a segmentation module, based on the class of object each pixel of the image depicts. A bounding module then determines coordinates of a predetermined shape that covers at least a portion of the at least one object of interest. An application module then applies a bounding box having those coordinates and having the predetermined shape to the original image. In some embodiments, the coordinates are determined based on a mask layer that is based on the object classes in the image. In other embodiments, the coordinates are determined based on the mask layer and on an edge mask layer. Some embodiments comprise at least one neural network. In some embodiments, the objects of interest are text objects.

Abstract: Systems and methods for processing liquefied natural gas (LNG) can include an LNG production system with a methane refrigeration cycle downstream from an ethylene refrigeration cycle. The methane refrigeration cycle can be a closed loop methane refrigeration cycle that maintains a methane refrigerant separate from a natural gas feed, (e.g., compared to an open loop methane refrigeration cycle that extracts the methane refrigerant from the natural gas feed and recombines the methane refrigerant with the natural gas feed). The natural gas feed can be a medium or high nitrogen gas feed having a nitrogen content greater than 1.0% molarity.

Abstract: Disclosed is a system for segmented simultaneous water injection and oil recovery through double pipes in horizontal section, comprising several packers, several oil-extracting mechanisms and several water-injection mechanisms, wherein each of the packers, each of the oil-extracting mechanisms, and each of the water-injection mechanisms has an injection channel and a production channel, when several packers, several oil-extracting mechanisms and several water-injection mechanisms are combined, each of the injection channels is connected in turn, and each of the production channels is also connected in turn, the oil-extracting mechanism can extract oil through the production channel, the water-injection mechanism can inject water through the injection channel. The beneficial effects of this disclosure include: the oil in the oil production section can be produced while the water injection section is injected with water.