Abstract: A vehicle window system includes a vehicle door that has a window region. The system includes a fixed window having an exterior surface and an interior surface, a division bar, and a movable window. The fixed window is arranged in a first portion of the window region, and the division bar is arranged along a first region of the interior surface. The movable window is arranged in a second portion of the window region and is configured to close against the division bar. The division bar is not directly visible from outside of the vehicle door when viewed at an elevation of the fixed window. To illustrate, the movable window can be configured to move vertically within the first portion of the window region and the fixed window arranged at the top of the window region and the division bar is arranged substantially horizontally along the interior surface.

Abstract: A method and a system for establishing a light source information prediction model are provided. A plurality of training images are captured for a target object. A white object is attached on the target object. True light source information of the training images is obtained according to a color of the white object in each of the training images. A neural network model is trained according to the training images and the true light source information, and a plurality of pieces of predicted light source information is generated according to the neural network model during the training. A learning rate for training the neural network model is adaptively adjusted based on the predicted light source information.

Abstract: An automated predictive analytics system disclosed herein provides for generating sales leads with lead engagement recommendations. In one implementation, the system determines similarities between fitness, engagement, and intent characteristics of a plurality of target clients and fitness, engagement, and intent characteristics of an entity's existing clients. Subsequently, the system generates recommendations for engagement with the plurality of target clients, wherein components of the recommendations for engagement are based on determined similarities between the fitness, engagement, and intent characteristics of the plurality of target clients and the fitness, engagement, and intent characteristics of the entity's existing clients. The system presents the plurality of leads with the recommendations of engagement to using a graphical user interface (GUI) at the application layer of the system.

Abstract: An electronic device includes an image sensor, a projector, an adjustable mount, a processor, and a memory. The memory stores instructions executable by the processor to: receive at least one image of an environment around the electronic device from the image sensor; determine a face pose of a viewer based on the at least one image; determine characteristics of a projection surface based on the at least one image; control the projector to project a plurality of images onto the projection surface, the images determined based in part on the face pose of the viewer and the characteristics of the projection surface, wherein the images are configured to be perceived as a three-dimensional (3D) object image when viewed through 3D glasses; and control the adjustable mount to adjust a position or an orientation of the projector based in part on a change in the face pose of the viewer.

Abstract: A non-aqueous electrolyte solution for a lithium secondary battery and a lithium secondary battery including the same are disclosed herein. In some embodiments, a non-aqueous electrolyte solution includes a lithium salt at a concentration of 1.5 M to 2.0 M, an organic solvent containing ethylene carbonate and ethyl propionate, and a first additive represented by Formula 1, wherein the ethylene carbonate and the ethyl propionate are present in a volume ratio of 1:9 to 1.5:8.5: NC—R—CH?CH—R1—CN ??[Formula 1] In Formula 1, R and R1 are each independently a substituted or unsubstituted alkylene group having 1 to 5 carbon atoms.

Abstract: An automated predictive analytics system disclosed herein provides a novel technique for industry classification. Leveraging specific API to construct a database of companies labeled with the industries to which they belong, the automated predictive analytics system trains a deep neural network to predict the industries of novel companies. The automated predictive analytics system examines the capacity of the model to predict six-digit NAICS codes, as well as the ability of the model architecture to adapt to other industry segmentation schemas. Additionally, the automated predictive analytics system investigates the ability of the model to generalize despite the presence of noise in the labels in the training set. Finally, the automated predictive analytics system explores the possibility of increasing predictive precision by thresholding based on the confidence scores that the model outputs along with its predictions.

Abstract: Described are methods, devices, and systems for a novel, easy to use treatment for spasticity that does not involve medication. Methods and devices herein use low-frequency repetitive magnetic fields to enhance communication in the spinal nerve, thereby allowing improved relaxation, control, and coordination in a muscle.

Abstract: A method and a system for establishing a light source information prediction model are provided. A plurality of training images are captured for a target object. A white object is attached on the target object. True light source information of the training images is obtained according to a color of the white object in each of the training images. A neural network model is trained according to the training images and the true light source information, and a plurality of pieces of predicted light source information is generated according to the neural network model during the training. A learning rate for training the neural network model is adaptively adjusted based on the predicted light source information.

Abstract: A vehicle window system includes a vehicle door that has a window region. The system includes a fixed window having an exterior surface and an interior surface, a division bar, and a movable window. The fixed window is arranged in a first portion of the window region, and the division bar is arranged along a first region of the interior surface. The movable window is arranged in a second portion of the window region and is configured to close against the division bar. The division bar is not directly visible from outside of the vehicle door when viewed at an elevation of the fixed window. To illustrate, the movable window can be configured to move vertically within the first portion of the window region and the fixed window arranged at the top of the window region and the division bar is arranged substantially horizontally along the interior surface.

Abstract: An image pre-processing method and an image processing apparatus for a fundoscopic image are provided. A region of interest (ROI) is obtained from a fundoscopic image to generate a first image. The ROI is focused on an eyeball in the fundoscopic image. A smoothing process is performed on the first image to generate a second image. A value difference between neighboring pixels in the second image is increased to generate a third image.

Abstract: A method for evaluating a movement state of a heart is provided and includes: obtaining a plurality of consecutive heart ultrasound images corresponding to a heart and accordingly estimating a plurality of left ventricular volumes corresponding to the heart ultrasound images; finding a plurality of specific extremums in the left ventricular volumes and accordingly estimating a plurality of time differences among the specific extremums; estimating a statistical characteristic value of the time differences based on the time differences; and determining that an abnormal movement state of the heart occurs in response to determining that at least one of the time differences deviates from the statistical characteristic value up to a predetermined threshold.

Abstract: A method for estimating a ventricular volume is provided and includes: obtaining a left ventricular mask image corresponding to a heart ultrasound image, where the left ventricular mask image is a binary image; finding 3 reference point pixels in the left ventricular mask image, where each of the reference point pixels has a first value, each of the reference point pixels is surrounded by N surrounding pixels, and the surrounding pixels of each of the reference point pixels include N1 first surrounding pixels with the first value and N2 second surrounding pixels with a second value; estimating a left ventricular volume corresponding to the heart ultrasound image based on the reference point pixels.

Abstract: An electronic device and a method for determining the intensity of a low-frequency current are provided. The method includes: individually applying a corresponding first current to a body part of a user in N consecutive time intervals, wherein the time intervals include an i-th time interval to an (i+N)-th time interval; obtaining electromyography values of the body part in each time interval; determining a second current corresponding to an (i+N+1)-th time interval based on the first current corresponding to each time interval, the body part, personal information of the user, and the electromyography values of each time interval; and applying a second current to the body part of the user in the (i+N+1)-th time interval.

Abstract: An image processing apparatus for evaluating cardiac images and a ventricular status identification method are provided. In the method, a region of interest (ROI) is determined from multiple target images, a variation in grayscale values of multiple pixels in the ROIs of each target image is determined, and one or more representative images are obtained according to the variation in the grayscale values. The target image is related to the pixels within an endocardial contour of a left ventricle. A boundary of the ROI is approximately located at two sides of a bottom of the endocardial contour. The ROI corresponds to a mitral valve. The variation in the grayscale values is related to a motion of the mitral valve. The representative image is for evaluating a status of the left ventricle.

Abstract: Disclosed is a many-bit, groupable, reconfigurable, multi-valued, electronic operator and its construction method. Each bit of the electronic operator is provided with n column calculators and one potential combiner. A data input line is connected to an input terminal of an A signal selector, and an output terminal of the A signal selector is connected to a work permitter. Another input terminal of the work permitter is connected to a reconfiguration latch, and an output terminal of the work permitter is further connected to an output validator. Another input terminal of the output validator is connected to a power supply Vcc, and an output terminal of the output validator is connected to an output generator. Another input terminal of the output generator is connected to a reconfiguration circuit, and an output terminal of the output generator is connected to the potential combiner.

Abstract: A gas supply system includes a loading/unloading stage including a cradle loader where a cradle loaded with a gas container is loaded, a test buffer chamber is configured to test the gas container, and a loading/unloading robot configured to transfer the gas container between the cradle and the test buffer chamber. A gas supply stage includes a storage queue configured to temporarily store the gas container, a gas supply cabinet where the gas container is mounted, and a transfer robot configured to transfer the gas container between the test buffer chamber and the storage queue and between the storage queue and the gas supply cabinet.

Abstract: A method of preparing a compound of formula (I): is disclosed. The compound of formula (I) can be used as an antioxidant agent. The compound can also be used as an antibacterial agent to inhibit Staphylococcus aureus MRSA 18-222 and Pseudomonas aeruginosa MDR-PA 18-1774.

Abstract: A semiconductor structure and a fabrication method of the semiconductor structure are provided. The semiconductor structure includes a substrate including a first region and a second region, first gate structures, second gate structures, first source-drain doped layers, second source-drain doped layers, and a first dielectric layer. A top surface of the first dielectric layer disposed over the first region is lower than a top surface of the first dielectric layer disposed over the second region. The semiconductor structure also includes a first barrier layer disposed over the first dielectric layer disposed over the first region. The first barrier layer and the first dielectric layer disposed over the first region include a first opening exposing the first source-drain doped layer, and the first dielectric layer disposed over the second region includes a second opening exposing the second source-drain doped layer.

Abstract: An automated predictive analytics system disclosed herein provides for generating sales leads with lead engagement recommendations. In one implementation, the system determines similarities between fitness, engagement, and intent characteristics of a plurality of target clients and fitness, engagement, and intent characteristics of an entity's existing clients. Subsequently, the system generates recommendations for engagement with the plurality of target clients, wherein components of the recommendations for engagement are based on determined similarities between the fitness, engagement, and intent characteristics of the plurality of target clients and the fitness, engagement, and intent characteristics of the entity's existing clients. The system presents the plurality of leads with the recommendations of engagement to using a graphical user interface (GUI) at the application layer of the system.

Abstract: The present disclosure provides a composition. The composition contains (A) an ethylene/?-olefin copolymer containing (i) ethylene and (ii) from 20 wt % to 35 wt % C6-C8 ?-olefin comonomer, the ethylene/?-olefin copolymer having a density from 0.880 g/cc to 0.895 g/cc, a melt viscosity, at 177° C., from 4,000 mPa·s to 20,000 mPa·s, and a glass transition temperature from ?55° C. to ?20° C.; (B) a tackifier, and (C) a wax.