Abstract: A polymer ultrafiltration membrane with a bicontinuous highly interconnected porous structure, a preparation method and applications thereof are provided. The ultrafiltration membrane has a bottom layer and a polymer layer. The polymer layer is divided into a sublayer and a surface layer. The surface layer is of a uniform small pore structure with a narrow pore size distribution. The sublayer is of a bicontinuous highly interconnected three-dimensional network porous structure. The bicontinuous highly interconnected porous structure of the bicontinuous highly interconnected porous ultrafiltration membrane is characterized as follows: in the thickness direction of the sublayer, the cross-sectional porosity on any XY cross-section perpendicular to the thickness direction is 40-90%, preferably 60-90%, and further preferably 70-90%; and the difference in the cross-sectional porosities between any two XY cross-sections does not exceed 10%, preferably not exceed 8%, and also preferably not exceed 5%.

Abstract: Disclosed are systems, apparatuses, processes, and computer-readable media to provide haptic feedback in electronic devices based on contextual awareness. According to some aspects, a method of controlling haptic feedback includes obtaining environmental information indicative of an environment of a computing device from at least one sensor and determining a context associated with the mobile device based on the environmental information. The method may include determining haptic feedback for output by the mobile device based on the context.

Abstract: Techniques are provided for processing one or more frames. For example, a region of interest can be determined in a first frame of a sequence of frames. The region of interest in the first frame includes an object having a size in the first frame. A portion of a second frame of the sequence of frames (occurring after the first frame in the sequence of frames) can be cropped and scaled to cause the object in the second frame to have a same size (and in some cases a same location) as the object in the first frame.

Abstract: Techniques are provided for processing one or more frames. For example, a region of interest can be determined in a first frame of a sequence of frames. The region of interest in the first frame includes an object having a size in the first frame. A portion of a second frame of the sequence of frames (occurring after the first frame in the sequence of frames) can be cropped and scaled to cause the object in the second frame to have a same size (and in some cases a same location) as the object in the first frame.

Abstract: Systems and techniques are described for processing media data and for providing haptic feedback that is customized based on the media data. A media system receives media content to be output using an output device according to media output settings associated with a media output software application. The media content can be associated with an environment that is at least partially generated by the software application, as in a video game. The output device is configured to output different portions of the media content at different times across a period of time. The media system detects a condition associated with the media content at a first time along the period of time. The media system actuates at least one haptic feedback actuator according to a haptic feedback pattern corresponding to the condition.

Abstract: An image capture and processing device captures an image. Based on the image and/or one or more additional images, the image capture and processing device generates and outputs guidance for optimizing image composition, image capture settings, and/or image processing settings. The guidance can be generated based on determination of a direction that a subject of the image is facing, based on sensor measurements indicating that a horizon may be skewed, another image of the same scene captured using a wide-angle lens, another image of the same subject, another image of a different subject, and/or outputs of a machine learning model trained using a set of images. The image capture and processing device can automatically apply certain aspects of the generated guidance, such as image capture settings and/or image processing settings.

Abstract: An image capture and processing device captures an image. Based on the image and/or one or more additional images, the image capture and processing device generates and outputs guidance for optimizing image composition, image capture settings, and/or image processing settings. The guidance can be generated based on determination of a direction that a subject of the image is facing, based on sensor measurements indicating that a horizon may be skewed, another image of the same scene captured using a wide-angle lens, another image of the same subject, another image of a different subject, and/or outputs of a machine learning model trained using a set of images. The image capture and processing device can automatically apply certain aspects of the generated guidance, such as image capture settings and/or image processing settings.

Abstract: Techniques are provided for processing one or more frames. For example, a region of interest can be determined in a first frame of a sequence of frames. The region of interest in the first frame includes an object having a size in the first frame. A portion of a second frame of the sequence of frames (occurring after the first frame in the sequence of frames) can be cropped and scaled to cause the object in the second frame to have a same size (and in some cases a same location) as the object in the first frame.