Abstract: A method of segmenting relative user preferences into fine-grain and coarse-grain collections is provided. The method includes providing a set of content items having associated descriptive terms. The method also includes receiving user search input and, in response thereto, presenting a subset of content items. The method includes receiving user selection actions and analyzing the selections to learn the user's preferred descriptive terms. The method includes expressing the learned preferred descriptive terms as a segmented probability distribution function having at least one fine grain segment and at least one coarse grain segment. In response to subsequent search input, the method calls for selecting and ordering a collection of content items by promoting the ranking of content items associated with the learned preferred descriptive terms of the user according to the differentiation provided by the segmented probability distribution function.

Abstract: A method includes identifying, at an electronic device (100) a candidate name responsive to user input (110) indicating a salutational trigger (130) during composition of a body (122, 222, 322, 422) of a message of a messaging application (102). Identifying the candidate name including at least one of: parsing a recipient-specific portion of a recipient message address (602) of the message; parsing a display name (706) associated with the recipient message address; parsing a content of the message body; parsing an attachment name associated with an attachment field of the message; identifying the candidate name from a contact record selected from a contacts database (114) based on a recipient-specific portion of a recipient message address of the message; and parsing user-readable content (1002) of an application from which composition of the message was triggered. The method further includes facilitating composition of a recipient name in the body of the message based on the candidate name.

Abstract: A method of segmenting relative user preferences into fine-grain and coarse-grain collections is provided. The method includes providing a set of content items having associated descriptive terms. The method also includes receiving user search input and, in response thereto, presenting a subset of content items. The method includes receiving user selection actions and analyzing the selections to learn the user's preferred descriptive terms. The method includes expressing the learned preferred descriptive terms as a segmented probability distribution function having at least one fine grain segment and at least one coarse grain segment. In response to subsequent search input, the method calls for selecting and ordering a collection of content items by promoting the ranking of content items associated with the learned preferred descriptive terms of the user according to the differentiation provided by the segmented probability distribution function.

Abstract: A system for delivering power over a network of devices connected through a serial link includes a first and second differential pairs of wires. Each differential pair of wires is double AC coupled by a HPF on one side and by another HPF on an opposite side. An LPF connects a portion of each differential pair of wires between the HPFs to a voltage source, and another LPF connects that portion of each differential pair to a load. The system further includes a third and fourth differential pairs of wires. All four differential pairs of wires are located within a single cable, such as a CAT6 cable. The first, second and third differential pair of wires are used for video links, and the fourth differential pair of wires are used for the bi-directional hybrid link. A power delivery circuit in each device includes a voltage source, a power relay switch, a signature resistor for detection, and a load detector.

Abstract: A system for delivering power over a network of devices connected through a serial link includes a first and second differential pairs of wires. Each differential pair of wires is double AC coupled by a HPF on one side and by another HPF on an opposite side. An LPF connects a portion of each differential pair of wires between the HPFs to a voltage source, and another LPF connects that portion of each differential pair to a load. The system further includes a third and fourth differential pairs of wires. All four differential pairs of wires are located within a single cable, such as a CAT6 cable. The first, second and third differential pair of wires are used for video links, and the fourth differential pair of wires are used for the bi-directional hybrid link. A power delivery circuit in each device includes a voltage source, a power relay switch, a signature resistor for detection, and a load detector.

Abstract: A system and method for a catalog item virtual fulfillment center is described. The system determines whether an item from a search query on an online marketplace corresponds to a catalog item. The catalog item corresponds to an item sold at substantially the same price among different sellers of the online marketplace. A display of a menu of different shipping times and corresponding total costs is generated for the catalog item.

Abstract: A CT system is disclosed that includes detector modules positioned on a rotatable gantry configured to receive x-rays attenuated by an object. Each detector module includes a module frame, a plurality of tileable sub-modules on the module frame aligned along a Z-axis thereof to receive the x-rays attenuated by the object and convert the x-rays to digital signals, and an electronics board connected to the plurality of sub-modules to receive the digital signals. Each sub-module further includes an array of detector elements to receive x-rays attenuated through the object and convert the x-rays into analog electrical signals, an ASIC electronics package coupled to the array of detector elements to receive the analog electrical signals and convert the analog electrical signals to digital signals, and a flex circuit connected to the ASIC electronics package to receive the digital signals and transfer the digital signals to the electronics board.

Abstract: A system may include a video link and a hybrid link that connects a transmitting device to the receiving device, and at least one intermediate hop between the transmitting device and the receiving device. The intermediate hop may be configured to relay video content from the video source to the video sink through the hybrid link using one or more data relay modes. The hybrid link may be configured to perform hybrid link control signaling (HLCS) to manage a physical layer of the hybrid link. The video link between the video source and the video sink may be configured to transmit a video stream the from video source to the video sink over one or more video lanes. A video link training may be implemented for the video link and the hybrid link.

Abstract: A system for delivering USB data over a DiiVA network may include a USB host controller, at least one USB device, a first DiiVA device connected to the USB host controller through an upstream USB port, a second DiiVA device connected to the USB device through a downstream USB port; and a network configured to transfer data between the first DiiVA device and the second DiiVA device according to USB protocol through a DiiVA bi-directional hybrid link in the network. The network is responsive to the USB host controller to deliver contents for the USB protocol through at least one line state information packet and at least one USB data packet transmitted through the hybrid link between the upstream USB port and the downstream USB port.

Abstract: A method of segmenting relative user preferences into fine-grain and coarse-grain collections is provided. The method includes providing a set of content items having associated descriptive terms. The method also includes receiving user search input and, in response thereto, presenting a subset of content items. The method includes receiving user selection actions and analyzing the selections to learn the user's preferred descriptive terms. The method includes expressing the learned preferred descriptive terms as a segmented probability distribution function having at least one fine grain segment and at least one coarse grain segment. In response to subsequent search input, the method calls for selecting and ordering a collection of content items by promoting the ranking of content items associated with the learned preferred descriptive terms of the user according to the differentiation provided by the segmented probability distribution function.

Abstract: A method for recovering failed bit cells in an integrated circuit memory is disclosed. In one embodiment, the method includes stress testing an integrated circuit having a memory, wherein the memory includes a plurality of bit cells. The method further includes holding at least one internal node of the selected one of the plurality of bit cells at a first predetermined state for a period sufficient to cause a shift in a threshold voltage of a transistor in the selected one of the plurality of bit cells.

Abstract: A CT system is disclosed that includes detector modules positioned on a rotatable gantry configured to receive x-rays attenuated by an object. Each detector module includes a module frame, a plurality of tileable sub-modules on the module frame aligned along a Z-axis thereof to receive the x-rays attenuated by the object and convert the x-rays to digital signals, and an electronics board connected to the plurality of sub-modules to receive the digital signals. Each sub-module further includes an array of detector elements to receive x-rays attenuated through the object and convert the x-rays into analog electrical signals, an ASIC electronics package coupled to the array of detector elements to receive the analog electrical signals and convert the analog electrical signals to digital signals, and a flex circuit connected to the ASIC electronics package to receive the digital signals and transfer the digital signals to the electronics board.

Abstract: A method of segmenting relative user preferences into fine-grain and coarse-grain collections is provided. The method includes providing a set of content items having associated descriptive terms. The method also includes receiving user search input and, in response thereto, presenting a subset of content items. The method includes receiving user selection actions and analyzing the selections to learn the user's preferred descriptive terms. The method includes expressing the learned preferred descriptive terms as a segmented probability distribution function having at least one fine grain segment and at least one coarse grain segment. In response to subsequent search input, the method calls for selecting and ordering a collection of content items by promoting the ranking of content items associated with the learned preferred descriptive terms of the user according to the differentiation provided by the segmented probability distribution function.

Abstract: A method of segmenting relative user preferences into fine-grain and coarse-grain collections is provided. The method includes providing a set of content items having associated descriptive terms. The method also includes receiving user search input and, in response thereto, presenting a subset of content items. The method includes receiving user selection actions and analyzing the selections to learn the user's preferred descriptive terms. The method includes expressing the learned preferred descriptive terms as a segmented probability distribution function having at least one fine grain segment and at least one coarse grain segment. In response to subsequent search input, the method calls for selecting and ordering a collection of content items by promoting the ranking of content items associated with the learned preferred descriptive terms of the user according to the differentiation provided by the segmented probability distribution function.

Abstract: A method of segmenting relative user preferences into fine-grain and coarse-grain collections is provided. The method includes providing a set of content items having associated descriptive terms. The method also includes receiving user search input and, in response thereto, presenting a subset of content items. The method includes receiving user selection actions and analyzing the selections to learn the user's preferred descriptive terms. The method includes expressing the learned preferred descriptive terms as a segmented probability distribution function having at least one fine grain segment and at least one coarse grain segment. In response to subsequent search input, the method calls for selecting and ordering a collection of content items by promoting the ranking of content items associated with the learned preferred descriptive terms of the user according to the differentiation provided by the segmented probability distribution function.

Abstract: A method of segmenting relative user preferences into fine-grain and coarse-grain collections is provided. The method includes providing a set of content items having associated descriptive terms. The method also includes receiving user search input and, in response thereto, presenting a subset of content items. The method includes receiving user selection actions and analyzing the selections to learn the user's preferred descriptive terms. The method includes expressing the learned preferred descriptive terms as a segmented probability distribution function having at least one fine grain segment and at least one coarse grain segment. In response to subsequent search input, the method calls for selecting and ordering a collection of content items by promoting the ranking of content items associated with the learned preferred descriptive terms of the user according to the differentiation provided by the segmented probability distribution function.

Abstract: Methods and systems for management and tracking of complex entitlement benefits are disclosed. For example, a method can include identifying a processing error within a distributed transaction processing system, assessing an impact of the processing error, and determining a recovery strategy to minimize the impact of the processing error. The processing error can be associated with the application of an entitlement to a plurality of transactions. The entitlement can include a defined benefit and a benefit counter. The benefit counter can control a quantity of transactions allowed to receive the entitlement. The impact of the processing error can be assessed in regard to the plurality of transactions.

Abstract: A system for delivering power over a network of devices connected through a serial link includes a first and second differential pairs of wires. Each differential pair of wires is double AC coupled by a HPF on one side and by another HPF on an opposite side. An LPF connects a portion of each differential pair of wires between the HPFs to a voltage source, and another LPF connects that portion of each differential pair to a load. The system further includes a third and fourth differential pairs of wires. All four differential pairs of wires are located within a single cable, such as a CAT6 cable. The first, second and third differential pair of wires are used for video links, and the fourth differential pair of wires are used for the bi-directional hybrid link. A power delivery circuit in each device includes a voltage source, a power relay switch, a signature resistor for detection, and a load detector.

Abstract: A method of segmenting relative user preferences into fine-grain and coarse-grain collections is provided. The method includes providing a set of content items having associated descriptive terms. The method also includes receiving user search input and, in response thereto, presenting a subset of content items. The method includes receiving user selection actions and analyzing the selections to learn the user's preferred descriptive terms. The method includes expressing the learned preferred descriptive terms as a segmented probability distribution function having at least one fine grain segment and at least one coarse grain segment. In response to subsequent search input, the method calls for selecting and ordering a collection of content items by promoting the ranking of content items associated with the learned preferred descriptive terms of the user according to the differentiation provided by the segmented probability distribution function.

Abstract: A method of segmenting relative user preferences into fine-grain and coarse-grain collections is provided. The method includes providing a set of content items having associated descriptive terms. The method also includes receiving user search input and, in response thereto, presenting a subset of content items. The method includes receiving user selection actions and analyzing the selections to learn the user's preferred descriptive terms. The method includes expressing the learned preferred descriptive terms as a segmented probability distribution function having at least one fine grain segment and at least one coarse grain segment. In response to subsequent search input, the method calls for selecting and ordering a collection of content items by promoting the ranking of content items associated with the learned preferred descriptive terms of the user according to the differentiation provided by the segmented probability distribution function.