Various examples of approaches for using and implementing cascaded text formatting within electronic publishing and display mediums are described herein. In an example, a method for analyzing and re-formatting a stream of text, includes: obtaining a stream of human-readable text in a natural language processing (NLP) parser to identify parts-of-speech and key phrases in a proper sentence; tagging the identified parts-of-speech according to the respective parts and key phrases; generating a text cascade arrangement for a display of the proper sentence by applying predefined rules to the part-of-speech and key phrases, where such a display of the proper sentence provides breaks and cascading, including indentations, according to the pre-defined rules; and outputting an electronic display of the proper sentence which includes the text cascade arrangement. Other examples of methods of converting text, formatting text, and displaying text, with such text cascade arrangements and related formats, are also disclosed.

A driving circuit, a driving method and a microfluidic substrate are provided. The driving circuit includes a first switching unit, a second switching unit, a reset unit, a first capacitor, and a second capacitor. In a first stage of a driving process of the driving circuit, the first switching unit is turned on, a first voltage signal is transmitted to a first node, the second switching unit is turned on, a second voltage signal is input to an output terminal of the driving circuit, and the driving circuit outputs an AC signal. In a second stage of the driving process, the first switching unit is turned off, the valid signal output by the second scan signal terminal controls the reset unit to be turned on, a third voltage signal is input to the output terminal of the driving circuit for reset, and the driving circuit outputs a DC signal.

A processor device includes an image signal acquiring unit, an image processing unit, and a display control unit. The image signal acquiring unit acquires a digital image signal corresponding to an observation mode from an endoscope. The image processing unit includes a region-of-interest-detection-mode image processing unit. The display control unit sets an emphasized region having a larger area than a region of interest and including the region of interest, displays the emphasized region in a manner of emphasized display, and determines whether or not to change setting of the emphasized region in accordance with an amount of variation of the region of interest.

A first display controller displays a plurality of medical images in which a detection result of at least one abnormal part is added to at least one medical image, on a display. A second display controller displays a total number of detection results on the display. A third display controller displays reference information representing a reference state of the detection result on the display.

Described are various embodiments of a light field device and vision-based testing system using same. Different embodiments provide for a vision-based testing device comprising a one or more view zone optimization techniques such as, but not limited to, a predominant view zone isolator, a view zone output realignment solution, and a coarse view zone adjustment transfer solution, as well as other view zone artefact reduction techniques and multi-depth perception adjustment techniques.

A system for permitting a medical practitioner to interact with medical information, the system including: a sensing unit for detecting a position of a reference object used to interact with the sensing unit; at least one control unit for determining a gesture performed by the medical practitioner, identifying a command relative to the medical information that corresponds to the gesture, and executing the command in order to display the medical information; generating a graphical user interface including a virtual representation of the reference object and at least one virtual icon and/or a virtual representation of the sensing unit, with each of the at least one virtual icon corresponding to one of a respective mode of operation, a respective user notification, and a respective system setting option; and displaying the GUI along with the medical information.

According to one embodiment, a medical information processing apparatus includes processing circuitry. The processing circuitry predicts, based on subject information and a prediction model of a disease onset risk, a time course of the disease onset risk in relation to a subject. The processing circuitry presents, based on the time course of the disease onset risk, a recommended period appropriate for arranging a next examination or medical procedure.

A medical image processing apparatus includes the following. A processor is configured to: acquire a medical image obtained by capturing an image of an observation target; detect a region of interest from the medical image; and cause a display to display report information and the medical image, the report information reporting that the region of interest has been detected. A screen displayed on the display has a first region in which the medical image is displayed, and a second region provided outside the first region. The second region is divided into four regions by using line segments passing through a center of the first region, and a detected location of the region of interest is reported by displaying the report information in one of the four regions.

The invention synthesizes a social network, electronic commerce (including performance based advertisement and electronic payment), a mobile internet device (MID)/mobile wearable internet device and a machine learning algorithm(s), utilizing a classical computer or an optical computer enhanced machine learning algorithms, utilizing an optical computer or a quantum computer enhanced machine learning algorithm(s), utilizing a quantum computer. The synthesized social commerce further dynamically integrates stored information, real time information and real time information/data/image(s) from an object/array of objects (Internet of Things (IoT) and automated agents (bots). The machine learning algorithm(s), utilizing a classical computer can include a software agent, a fuzzy logic algorithm, a predictive algorithm, an intelligence rendering algorithm, a self-learning (including relearning) algorithm.

Systems and methods for medical patient distraction may permit watching an immersive video headset during a dental or medical procedure that is compatible with nitrous oxide. Having the ability to watch a show on an immersive video headset while using nitrous oxide may allow for further distraction of the patient from the discomfort of dental or medical procedures. The parts and pieces of the immersive video headset that touch the patient may be detachable so they can be changed between patients for easy sterilization and cleanliness. Also, the immersive video headset may be capable of mirroring what is on a phone or nearby computer. The design of the headset may be specifically compatible with being able to use a nitrous hood during dental or medical procedures.