Abstract: A vehicle running mode control method may include detecting, by a mode controller, a mode switching from an electric vehicle mode (EV mode) to a hybrid electric vehicle mode (HEV mode) while a vehicle runs; and performing a continuously variable transmission (CVT) cooperative mode switching control in which a drive motor is connected to an engine by engaging a clutch by operating the CVT.

Abstract: A cruise operation fuel efficiency improvement control method, the method may include detecting, by an engine control unit, a cruise Resume request during a coasting running state of a vehicle; controlling a NCC Cruise Control which performs a cruise toque control of the vehicle after performing a control of an Electronic Stability Control (ESC) which sets a vehicle speed to a cruise target speed followed by a control of a transmission control unit, when the coasting running is a Neutral Control Coasting (NCC); and controlling a SSC Cruise Control which performs the cruise toque control of the vehicle after performing the control of the Electronic Stability Control (ESC) when the coasting running is a Start Stop Control (SSC).

Abstract: An electronic device is provided. The electronic device includes a touchscreen, at least one processor electrically connected with the touchscreen, and a memory electrically connected with the processor. The memory may store instructions executed to enable the at least one processor to display a first window for running a first application and a second window for running a second application on the touchscreen, display a virtual keypad on a portion of the first window and a portion of the second window corresponding to a first input to a focused window of the first window and the second window, and vary a size of the virtual keypad corresponding to a second input to the virtual keypad.

Abstract: A system for generating simulated body parts for images may include a body part recognition convolutional neural network (CNN) to recognize a body part in an input image. The body part recognition CNN may be trained using first training data including training images including body parts contained in the input image being identified. The system may also include a body part generative adversarial network (GAN) to complete an image of the body part in the input image based on a body part identification output by the body part recognition CNN. The body part GAN may be trained using second training data including at least partial training images.

Abstract: Machine logic (for example, software) for registering multiple medical images, each showing a common lesion, with each other. In performing this registration, registration points are chosen to be both: (i) outside of image portion that is potentially compromised by the lesion (in any of the multiple images); and (ii) as close to the lesion as possible. However, in at least one of the images the extent of the lesion is not known—so, in order to accommodate this uncertainty about the lesion boundaries, lesion predicting machine logic rules are used to predict the size, shape and/or location of the lesion. Machine learning is used to intermittently adjust and improve the lesion predicting machine logic rules.

Abstract: Provided are techniques for automated software testing using simulated user personas. A request to test software is received. Job roles, user software activities for the software to be tested, and objectives are automatically identified using a first machine learning model. A test operation sequence using the job roles, the user software activities, and the objectives to test the software is generated using a second machine learning model. The test operation sequence is executed to simulate different users having different job roles using the software with the user software activities to achieve the objectives.

Abstract: The present invention provides methods for treating or ameliorating metabolic diseases, cholestatic liver diseases, or organ fibrosis, which comprises administering to a subject a therapeutically effective amount of a pharmaceutical composition comprising an isoxazole derivative, a racemate, an enantiomer, or a diastereoisomer thereof, or a pharmaceutically acceptable salt of the derivative, the racemate, the enantiomer, or the diastereoisomer.

Abstract: An embodiment of the invention may include a method, computer program product and computer system for three-dimensional medical image generation. The method, computer program product and computer system may include computing device which may receive a first three-dimensional medical image of a first patient from a first period of time, a two-dimensional medical image of the first patient from a second period of time and a plurality of three-dimensional medical images for a plurality of second patients. The computing device may input the three-dimensional medical image of the first patient, the two-dimensional medical image of the first patient and the plurality of three-dimensional medical images for a plurality of second patients into a generative adversarial network (GAN). The computing device may generate a synthetic three-dimensional medical image for the first patient based on the two-dimensional medical image from the second period of time utilizing the GAN.

Abstract: A forced neutral remote start-up control method is provided. The method includes performing an E-clutch neutral switching control, which confirms the presence of an E-clutch upon receiving a remote start-up request signal of an Electronic Control Unit (ECU) to form a vehicle neutral state by an E-clutch state switching before generating an engine start-up signal, and performing an engine start-up by generating the engine start-up signal after confirming the vehicle neutral state.

Abstract: A method, system and computer program product for determining changes in breast density. A generative adversarial network is trained to predict an appearance of a mammogram image for a patient's current examination based on mammogram images assigned labels of a first type of density classification. An appearance of a mammogram image for a patient's current examination is predicted using the generative adversarial network based on a mammogram image(s) obtained from the patient's prior examination assigned labels of the first type of density classification. A comparison is made between the predicted and actual mammogram images for the patient's current examination to determine if there is a difference between scores assigned to the predicted and actual mammogram images, and if so, whether such difference can be attributed to the subjective assessment by different physicians or changes in the standards of density classification or is due to a real change in breast density.

Abstract: Disclosed are a method of manufacturing a vehicle member including pretreating the surface of an electrically conductive plastic molded product and forming a metal plating layer on the molded product, wherein the metal plating layer includes a copper plating layer, a nickel plating layer and a chromium plating layer, which are sequentially formed, and a vehicle member manufactured by the method.

Abstract: The present invention relates to isoxazole derivatives, including pharmaceutical compositions and for the preparation of isoxazole derivatives. And more particularly the present invention provided a pharmaceutical composition of isoxazole derivatives for activation of Farnesoid X receptor (FXR, NR1H4).

Abstract: Methods and systems and computer readable media are provided for processing digitized radiology images of a patient's tissue to perform a tissue density assessment. A set of radiology images is analyzed with a tissue density image classifier, wherein the tissue density classifier includes a plurality of classifiers. A features vector is generated, for each processed image in the set of radiology images, based on the processing. The features vector is provided, for each processed image in the set of radiology images, to a tissue density classifier to obtain an output. A final tissue density score is assigned based on the output of the tissue density classifier.

Abstract: Provided are techniques for automated software testing using simulated user personas. A request to test software is received. Job roles, user software activities for the software to be tested, and objectives are automatically identified using a first machine learning model. A test operation sequence using the job roles, the user software activities, and the objectives to test the software is generated using a second machine learning model. The test operation sequence is executed to simulate different users having different job roles using the software with the user software activities to achieve the objectives.

Abstract: An embodiment of the invention may include a method, computer program product and computer system for image artifact removal. The method, computer program product and computer system may include computing device which may receive a primary image and analyze the primary image for global artifacts and local artifacts. The computing device may, in response to identifying a global artifact in the primary image, generate a secondary image with the global artifact removed utilizing a first generative adversarial network. The computing device may, in response to identifying a local artifact in the primary image, generate a patch with the local artifact removed utilizing a second generative adversarial network. The computing device may generate a hybrid image containing a reduction of global artifacts and a reduction of local artifacts by combining the secondary image and the patch utilizing a hybrid generative adversarial network.

Abstract: An organic light emitting diode display device includes a substrate having a sub-pixel and a transparent region, a counter substrate facing into the substrate, and a light emitting diode and a light controlling element between the substrate and the counter substrate, the light controlling element transmitting or shielding a light. The light emitting diode overlaps the sub-pixel, and the light controlling element overlaps the transparent region.

Abstract: Methods and systems are provided for managing identifying information for an entity. The identifying information of the entity embedded in or associated with a digital image is detected, wherein the identifying information is selected from the group consisting of: text information and image information corresponding to one or more features of an entity. The text information may be removed from the digital image. The image information may be replaced with one or more computer generated synthetic images, wherein the computer generated synthetic images are based on a natural appearance of the digital image. The synthetic content, which may be generated by a GAN, is based on a natural appearance of the image. The medical image may also contain PHI in text-based fields associated with private tags/fields, which are automatically identified and removed using the systems and methods provided herein.

Abstract: Provided is a peptide for preventing or treating inflammatory diseases and a use thereof. According to a novel dimeric peptide according to the present invention, it is possible to not only exhibit an excellent therapeutic effect through anti-inflammatory action but also have a very small-sized peptide, thereby minimizing side effects due to the administration of external substances and will be expected to be used as an active substance that can replace existing therapeutic agents for inflammatory diseases.

Abstract: Provided is a novel peptide for preventing or treating inflammatory diseases and a use thereof. According to the novel dimeric or trimeric peptide, it is possible to not only exhibit an excellent therapeutic effect through anti-inflammatory action but also have a very small-sized peptide, thereby minimizing side effects due to the administration of external substances. Therefore, it is expected that the peptide can be used as an active substance that can replace existing therapeutic agents for inflammatory diseases.

Abstract: The present invention relates to an apparatus for evaluating a performance of a fuel cell stack, and more particularly, to an apparatus for evaluating a performance of a fuel cell stack, in which a guide unit and an arm are provided on an anode end plate and a cathode end plate, respectively, to minimize an inclination of the fuel cell stack caused by a shrinkage of a sealant.