Abstract: One or more default protected attribute values may be determined for a prediction model trained based on training data including a plurality of training observations. Each of the plurality of training observations may include a respective plurality of training data values corresponding with a plurality of features. Each of the plurality of training observations may also include a respective target value. Each of the plurality of training observations may include a respective protected attribute value corresponding with a protected attribute feature. A request to determine a designated predicted target value for a designated inference observation may be received after determining the one or more default protected attribute values. The predicted target value may be determined by applying the prediction model to an inference observation and a designated default protected attribute value of the one or more default protected attribute values.

Abstract: Some examples described herein relate to computer interfaces and authentication protocols for securely linking and transferring content between online accounts. In one example, a system can provide a graphical user interface (GUI) with multiple interactive interface pages, through which a user can selectively transfer content from a first online account to a second online account. For example, the user can select to transfer points from the first online account to the second online account. The system can then transfer of the selected content from the first online account to the second online account. To perform this transfer, the system can employ multiple layers of authentication and other security mechanisms. For example, the system can employ two or more layers of authentication and a unique external identifier to perform the transfer. Following the transfer, the GUI can be updated to reflect the results of the transfer.

Abstract: The subject invention pertains to a novel angle-closure detection method for risk assessment of primary angle closure (PAC) or primary angle closure glaucoma (PACG) to inform treatment decisions. According to certain embodiments, a plurality of cross-sectional images of the anterior segment of an eye centered at the pupil with preferably even radial separations are obtained from optical coherence tomography imaging. After identifying the position of scleral spur from the cross-sectional image captured at each angle-location, the anterior chamber angles are analyzed. Each angle-location of the eye is classified as (i) closed angle, (ii) narrow angle, or (iii) open angle. The extents of narrow angles and closed angles among all angle-locations across the 360° radial space are computed. Based on the extents of narrow angles and closed angles, a regression model is applied to compute the risk of PAC/PACG development.

Abstract: Some embodiments support embedding of a notebooks software component in a surrounding host application, thereby promoting consistency of notebook user interfaces and user experiences between different kinds of applications. For instance, the notebook access added to an integrated development environment (IDE) may be aesthetically consistent with the notebook access added to a business analytics tool from the same vendor as the IDE. Departures from the aesthetic are still supported, e.g., a notebook access provided in a video gaming environment to teach gamers programming skills may have the same aesthetic as the simulated world of the video game, rather than an IDE aesthetic or an enterprise software aesthetic. Direct integration or proxied integration architectures may be used. Efficiencies may be gained by distinguishing between notebook viewing, editing, and executing operations, and providing more computationally expensive resources only as needed for the notebook access being performed.

Abstract: A method on applying user data for providing services to a user from a platform of services, the method comprising the steps of: obtaining user profile data pertaining to the user of a network system of an institution; comparing the user profile data to a plurality of different potential life stages in order to determine a selected life stage; identifying one or more services from the platform of services based on the selected life stage; identifying the one or more services to the user via a user interface of a user device; receiving a request from the user through the user device for access to the one or more services; and updating contents of the user profile to include additional profile content related to activity of the user with the one or more services.

Abstract: One or more default protected attribute values may be determined for a prediction model trained based on training data including a plurality of training observations. Each of the plurality of training observations may include a respective plurality of training data values corresponding with a plurality of features. Each of the plurality of training observations may also include a respective target value. Each of the plurality of training observations may include a respective protected attribute value corresponding with a protected attribute feature. A request to determine a designated predicted target value for a designated inference observation may be received after determining the one or more default protected attribute values. The predicted target value may be determined by applying the prediction model to an inference observation and a designated default protected attribute value of the one or more default protected attribute values.

Abstract: One or more default protected attribute values may be determined for a prediction model trained based on training data including a plurality of training observations. Each of the plurality of training observations may include a respective plurality of training data values corresponding with a plurality of features. Each of the plurality of training observations may also include a respective target value. Each of the plurality of training observations may include a respective protected attribute value corresponding with a protected attribute feature. A request to determine a designated predicted target value for a designated inference observation may be received after determining the one or more default protected attribute values. The predicted target value may be determined by applying the prediction model to an inference observation and a designated default protected attribute value of the one or more default protected attribute values.

Abstract: One or more default protected attribute values may be determined for a prediction model trained based on training data including a plurality of training observations. Each of the plurality of training observations may include a respective plurality of training data values corresponding with a plurality of features. Each of the plurality of training observations may also include a respective target value. Each of the training observations may include a respective protected attribute value corresponding with a protected attribute feature. A request to determine a designated predicted target value for a designated inference observation may be received after determining the one or more default protected attribute values. The predicted target value may be selected from two or more target values determined by applying the prediction model to an inference observation and potentially one or more default protected attribute values.

Abstract: A colposcope includes an inserter including an elongated body defining an interior space and an image capture device configured to be selectively and slidably positioned within the interior space of the elongated body. The elongated body has a distal end portion and a proximal end portion. The distal end portion is substantially funnel shaped and has a distal end that includes first and second portions. The first portion includes a base at a first edge of the distal end, and the second portion includes a lip at a second edge of the distal end that is diametrically opposed from the first edge. The lip is positioned further from the proximal end portion than the base.

Abstract: Presenting a web application includes receiving a user's selection of a UI element, which includes a visual icon representing the web application. In response to receiving the selection, the web application is launched in a browser window, where the browser is customizable to store bookmarks to webpages, and the browser can display multiple tabs of different webpages in a browser window. The browser window in which the web application is launched is tabless and includes chrome displaying back and forward buttons, where the buttons are selectable to navigate to a webpage in a history of webpages viewed by the user, and a reload button that is selectable to reload a webpage currently-viewed in the window. The chrome includes no UI elements that may be selected to store a bookmark to a webpage and includes no UI elements that display user-defined bookmarks to webpages.

Abstract: Presenting a web application includes receiving a user's selection of a UI element, which includes a visual icon representing the web application. In response to receiving the selection, the web application is launched in a browser window, where the browser is customizable to store bookmarks to webpages, and the browser can display multiple tabs of different webpages in a browser window. The browser window in which the web application is launched is tabless and includes chrome displaying back and forward buttons, where the buttons are selectable to navigate to a webpage in a history of webpages viewed by the user, and a reload button that is selectable to reload a webpage currently-viewed in the window. The chrome includes no UI elements that may be selected to store a bookmark to a webpage and includes no UI elements that display user-defined bookmarks to webpages.

Abstract: Characteristics of a plurality of users of a client application are received. A recommendation model and a scaling model are generated based on the characteristics of the plurality of users. Recommendation scores are determined for the plurality of users using the recommendation model and scaling scores are determined for the plurality of users using the scaling model. One or more items of content are presented to one or more users of the plurality of users based on corresponding recommendation scores and scaling scores of the one or more users.

Abstract: A colposcope includes an inserter including an elongated body defining an interior space and an image capture device configured to be selectively and slidably positioned within the interior space of the elongated body. The elongated body has a distal end portion and a proximal end portion. The distal end portion is substantially funnel shaped and has a distal end that includes first and second portions. The first portion includes a base at a first edge of the distal end, and the second portion includes a lip at a second edge of the distal end that is diametrically opposed from the first edge. The lip is positioned further from the proximal end portion than the base.

Abstract: Disclosed are techniques for processing layout designs based on dynamically-generated lithographic models. Lithographic models are determined for a plurality of regions of a reticle prior to lithographic simulation. During lithographic simulation, lithographic models for a small area within a particular region are generated based on the lithographic models for the particular region, the lithographic models for one or more neighboring regions, and location information of the small area relative to the region and to the one or more neighboring regions. The lithography models comprise illuminating and imaging system models and mask electro-magnetic field models.

Abstract: Disclosed herein are colposcopes, mammoscopes, and speculum-free imaging methods (inserters) having curved ends and flat ends and associated methods. According to an aspect, an inserter includes an elongate body defining an interior space and having a distal end, a proximate end, and an axis extending between the distal end and the proximate end. The distal end is substantially funnel shaped and defines a wide portion and a narrow portion. The narrow portion is closer to the proximate end than the wide portion. An edge of a first portion of the wide portion extends further from the proximate end than an edge of a second portion of the wide portion.

Abstract: Colposcopes having light emitters and image capture devices and associated methods are disclosed. According to an aspect, a colposcope includes an elongate body having a distal end, a proximate end, and an axis extending between the distal end and the proximate end. The colposcope also includes a balloon attached to the elongate body and configured to be inflated to expand in a direction away from the axis of the elongate body. Further the colposcope includes an image capture device attached to the distal end of the elongate body and positioned to capture images of an area outside the elongate body. The colposcope also includes one or more light emitters attached to the distal end of the elongate body and positioned to generate and direct light towards the area outside of the elongate body.

Abstract: Presenting a web application includes receiving a user's selection of a UI element, which includes a visual icon representing the web application. In response to receiving the selection, the web application is launched in a browser window, where the browser is customizable to store bookmarks to webpages, and the browser can display multiple tabs of different webpages in a browser window. The browser window in which the web application is launched is tabless and includes chrome displaying back and forward buttons, where the buttons are selectable to navigate to a webpage in a history of webpages viewed by the user, and a reload button that is selectable to reload a webpage currently-viewed in the window. The chrome includes no UI elements that may be selected to store a bookmark to a webpage and includes no UI elements that display user-defined bookmarks to webpages.

Abstract: The present invention relates to a pharmaceutical composition for treating cardiovascular and cerebrovascular diseases and the method of preparation thereof. The aforesaid pharmaceutical composition is prepared by the following components in weight percent: 0.1%-0.3% scutellarin, 20%-25% co-surfactant, 40-50% surfactant, and 25-30% oil. The method of preparing the aforesaid pharmaceutical composition comprises the steps of: (1) dispersing scutellarin in co-surfactant and surfactant to obtain a mixture; (2) dispersing the mixture from step (1) in oil, and thermostatically and magnetically stirring the dispersion mixture under the temperature of 25° C. to 37° C., such that the components thereof are completely dissolved to obtain the pharmaceutical composition. Through the use of the selected pharmaceutical adjuvants having the ability to inhibit MRP2, the aforesaid pharmaceutical composition effectively improves absorption and bioavailability of scutellarin.

Abstract: Techniques to select the proper frequency band for use in a PLL from among multiple frequency bands of a multi-band VCO. The PLL comprises a detector, a loop filter, the multi-band VCO, and a control unit. The detector receives a first signal to be locked to and a second signal that is related to a VCO signal and provides a detector output. The loop filter filters the detector output to provide a control signal. The multi-band VCO selects one of the multiple frequency bands based on a select signal and provides the VCO signal at a frequency determined by the control signal. The control unit derives the select signal for the multi-band VCO based on information extracted from a third signal (e.g., a filtered version of the control signal) and a timing signal from a timer unit.