Abstract: A method for visualizing and analyzing contributions of various input features for traffic safety status prediction is provided. The method includes initializing a deep belief network (DBN) with input features; performing unsupervised learning/training by observing changes of weights of the input features during the unsupervised learning/training; when the unsupervised learning/training process is complete, performing supervised learning/training process by generating a reconstructed input layer based on results of each hidden layer; and continually running the supervised learning/training and generating a weight diagram based on both visualization and numerical analysis that calculates contributions of the input features. The input features may include one or more of annual average daily commercial traffic (AADCT), median width, left shoulder width, right shoulder width, curve deflection, and exposure for traffic safety status prediction.

Abstract: A cushioning device and a packaging assembly for a base station antenna includes an inner cushioning member and an outer cushioning member. Each cushioning member comprises an inflated airbag. The inner cushioning member is configured to abut an end cover of the housing of the base station antenna and to surround at least one protruding member that is provided on the end cover within a cavity defined by the inner cushioning member. The outer cushioning member is configured to cover both ends of the base station antenna.

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: The present disclosure relates to a shock-absorbing buffer for a base station antenna. The base station antenna includes a first end portion having a first end surface, a second end portion having a second end surface, and a protruding element which is at least provided on the first end surface and protrudes outward. The shock-absorbing buffer includes an inner buffer member and an outer buffer member. The inner buffer member is configured to at least partially cover the protruding element, the first end portion, and the second end portion, and the outer buffer member is configured to sleeve the inner buffer member and at least partially cover the first end portion and the second end portion. The inner buffer member and the outer buffer member are respectively made into a pre-formed structure from an inflatable air bag, and the inflatable air bag can form a plurality of air columns after being inflated.

Abstract: The present disclosure relates to methods of treating or preventing hereditary angioedema (HAE) in a subject in need thereof by subcutaneously administering to the subject an effective amount an anti-FXII antibody comprising (i) a VH comprising a CDRH1 comprising a sequence set forth in SEQ ID NO:1; a CDRH2 comprising a sequence set forth in SEQ ID NO:2; and a CDRH3 comprising a sequence set forth in SEQ ID NO:3; and (ii) a VL comprising a CDRL1 comprising a sequence set forth in SEQ ID NO:4; a CDRL2 comprising a sequence set forth in SEQ ID NO:5; and a CDRL3 comprising a sequence set forth in SEQ ID NO:6.

Abstract: A computer-implemented method, system and computer program product for detecting feature traits from an imbalanced dataset. A first regression model is built based on a simulated dataset to compute contribution scores for the features to make a target a positive case. A variance in the features' original values for each feature of the first set of features (those features with contribution scores for positive cases that exceed a threshold value) between the positive and negative cases is determined. A second regression model is built to calculate a predictor importance value for a second set of features (features from the first set of features with a variance in their original values for both positive and negative cases that exceeds a threshold value). Feature traits are then extracted from a group of clustered positive cases with features of the second set of features containing a predictor importance value exceeding a threshold value.

Abstract: Disclosed is a device for evaluating damage of fracturing fluid to reservoir and operation method thereof, the device includes a liquid storage tank, a suction tube, a chromatography device, a bracket, a receiving container and a height adjuster; the disclosure has the following beneficial effects: since different liquids pass through the porous medium at different time and speed and the silica gel particles will not expand when immersed in the liquid, a porous structure is formed by placing silica gel particles of different sizes to simulate the pore-throat structure of unconventional oil and gas reservoirs, hence removing the influence of fracturing fluid on the hydration and expansion damage of the reservoir matrix, by testing the time and flow rate of different fracturing fluids flowing through the silica gel pores, the degree of damage caused by fracturing fluids to unconventional oil and gas reservoirs is evaluated.

Abstract: An osmium-containing conjugated polymer and methods thereof. A structural formula of the osmium-containing conjugated polymer is formula I, a reaction formula of the osmium-containing conjugated polymer is a formula II.

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: The present invention belongs to the field of medicine, relates to an inhaled preparation of isoglycyrrhizic acid or a salt thereof, and in particular relates to an inhaled preparation of magnesium isoglycyrrhizinate and the use thereof in preparing drugs for treating respiratory system diseases.

Abstract: A timing controller includes a receiver and a processor. The receiver is configured to receive image signals of image frames to be displayed. The processor is configured to determine refresh rates of the image frames to be displayed according to the image signals of the image frames to be displayed, and output different control signals according to different refresh rates of the image frames to be displayed.

Abstract: An approach is provided in which a method, system, and program product perform a distribution test on a plurality of datasets corresponding to a plurality of predictive features. Each of the plurality of datasets comprises a set of training entries corresponding to a selected one of the plurality of predictive features and a set of testing entries corresponding to the selected predictive feature. The method, system, and program product partition the plurality of predictive features into a differential feature set and a consistent feature set based on their corresponding distribution test. The method, system, and program product generate a final feature set based on the differential feature set and the consistent feature set.

Abstract: A preliminary software feature is applied in a testing rollout to a discrete subset of customers. Survey data may be collected from those customers through a variety of sources, such as chatbot text, session workflow, historical user data, social media data, email survey data, user profile data, messaging threads, and the like. This survey data is analyzed using machine learning algorithms to derive the meaning of input text as well as to determine the user sentiment expressed therein. The outputs of this analysis are normalized across sources and aggregated at a feature-level to generate overall metrics of customer satisfaction with the feature. A holistic analysis is performed on this customer sentiment data to obtain an aggregate or combined user satisfaction score. This score is applied against a set of guardrails to determine whether to ship the feature to a broader customer base.

Abstract: In an approach for detecting and profiling influential predictors in a machine learning model, a processor receives a case as an input to a pre-trained model for a prediction, the prediction being based on a plurality of predictors. A processor determines a range for a predictor where the predictor varies without changing the prediction. A processor generates a data set by sampling data across the determined range of the predictor. A processor builds a predictive model with the generated data set. A processor outputs a prediction result including an insight about the range of the predictor.

Abstract: The invention discloses a passive wideband mixer, including a local oscillator balun, a radio frequency balun, a first diode D1, a second diode D2, a third diode D3, a fourth diode D4, an inductive compensation unit, and a lossy inductive grounding network. The invention can realize a mixer with a bandwidth ratio of not less than 1:7, and can effectively suppress points with isolation deterioration without affecting the conversion loss over the entire frequency band. In the entire frequency band of this design, the isolation indicator between the local oscillator and radio frequency ports is optimized, which can well satisfy the application of the wideband mixer in a communication system.

Abstract: A functional panel, a method of manufacturing the same, and a terminal are disclosed. The functional panel includes: a base substrate; at least one bonding pad and at least one driver chip on the base substrate; at least one differential signal line group connecting the at least one bonding pad and the at least one driver chip, and each differential signal line group of the at least one differential signal line group including two signal lines; at least one ground line group connecting the at least one bonding pad and the at least one driver chip, and each ground line group of the at least one ground line group including two ground lines.

Abstract: In a weighing method, a weight (W) of a measured object (7) is measured. A roll angle (r) and a pitch angle (p) of a weighing scale platform (100) are read. The coordinates of a placement position (x0, z0) of the measured object are acquired. A first error (error1) caused by a weighing state according to the roll angle and the pitch angle is calculated. A second error (error2) caused by a weighing position according to the coordinates of the placement position, the roll angle (r) and the pitch angle (p) is also calculated. From these, a corrected weight (Wc) is determined.

Abstract: Polymer composite materials and methods of preparation are discussed. The composite material may comprise a polyurethane foam and a plurality of inorganic particles dispersed in the polyurethane foam. The composite material may have moisture movement properties, such that (a) a sample of the composite material having a length of 48 inches has a moisture movement of less than 0.15% along the length, and/or (b) a sample having a length of 6 inches has a moisture movement of less than 0.8% along the length, when submerged in 45° C. distilled water for 14 days.

Abstract: An offset data acquisition method and device of a fluxgate magnetometer are provided by the present disclosure, wherein the offset data acquisition method of the fluxgate magnetometer comprises: controlling the first analog switch, the second analog switch and the third analog switch to change directions within a preset period to obtain eight switch direction combinations between the first analog switch, the second analog switch and the third analog switch; acquiring magnetic field measurement data corresponding to an each of the switch direction combinations; and the magnetic field measurement data comprises x-axis magnetic field measurement data, y-axis magnetic field measurement data and z-axis magnetic field measurement data; and acquiring the offset data based on influence factors of an offset and the magnetic field measurement data within the preset period.

Abstract: This application provides example optical communications apparatuses. One example optical communications apparatus includes a control apparatus and an optical module matching apparatus. The control apparatus can output a first control signal to the control end. An input end of the optical module matching apparatus can connect to a first optical module and receive a first electrical signal output by the first optical module. An output end of the optical module matching apparatus can output a first serial signal. The control apparatus can output a second control signal to the control end. The input end of the optical module matching apparatus can receive a second electrical signal output by the second optical module. The output end of the optical module matching apparatus can output a second serial signal. The first electrical signal and the second electrical signal can have different level types.