Abstract: Techniques and apparatus for regulating power in a power supply circuit with a three-level buck converter circuit are provided. One example power supply circuit generally includes (i) a three-level buck converter circuit including a switching node coupled to an inductive element and (ii) a control circuit coupled to the three-level buck converter circuit and configured to control the three-level buck converter circuit such that the switching node operates with more than two different constant voltage levels. One example method generally includes operating a three-level buck converter circuit including a switching node coupled to an inductive element such that the switching node operates with more than two different constant voltage levels.

Abstract: A prediction model may be trained based on training data. Training the prediction model may involve determining an overlap profile between a protected attribute feature and a feature of a plurality of features reflected in the training data, identifying a positivity violation, and identifying a value replacement rule for correcting the positivity violation by replacing a feature value. The trained prediction model may be used to determine a predicted target value for an inference observation by replacing an inference data value with a replacement feature value based on the value replacement rule, applying the trained prediction model to a plurality of inference observations each including the replacement feature value and a respective protected attribute value, and determining a debiased predicted target value based on the plurality of predicted target 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 feature 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: 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 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 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: 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.