Abstract: An expandable spinal implant is provided having a frame with a distal wall for retaining an expansion plug such that bone growth promoting material may be introduced to a proximal portion of the implant after expansion. Various implants, systems and methods are disclosed.

Abstract: A display may have a pixel array such as a liquid crystal pixel array. The pixel array may be illuminated with backlight illumination from a direct-lit backlight unit. The backlight unit may include an array of light-emitting diodes (LEDs) on a printed circuit board. The display may have a notch to accommodate an input-output component. Reflective layers may be included in the notch. The backlight may include a color conversion layer with a property that varies as a function of position. The light-emitting diodes may be covered by a slab of encapsulant with recesses in an upper surface.

Abstract: Described are methods, systems, and computer-program product embodiments for selecting a face image based on a name. In some embodiments, a method includes receiving the name. Based on the name, a name vector is selected from a plurality of name vectors in a dataset that maps a plurality of names to a plurality of corresponding name vectors in a vector space, where each name vector includes representations associated with a plurality of words associated with each name. A plurality of face vectors corresponding to a plurality of face images is received. A face vector is selected from the plurality of face vectors based on a plurality of similarity scores calculated for the plurality of corresponding face vectors, where for each name vector, a similarity score is calculated based on the name vector and each face vector. The face image is output based on the selected face vector.

Abstract: Described are methods, systems, and computer-program product embodiments for selecting a face image based on a name. In some embodiments, a method includes receiving the name. Based on the name, a name vector is selected from a plurality of name vectors in a dataset that maps a plurality of names to a plurality of corresponding name vectors in a vector space, where each name vector includes representations associated with a plurality of words associated with each name. A plurality of face vectors corresponding to a plurality of face images is received. A face vector is selected from the plurality of face vectors based on a plurality of similarity scores calculated for the plurality of corresponding face vectors, where for each name vector, a similarity score is calculated based on the name vector and each face vector. The face image is output based on the selected face vector.

Abstract: Described are methods, systems, and computer-program product embodiments for selecting a face image based on a name. In some embodiments, a method includes receiving the name. Based on the name, a name vector is selected from a plurality of name vectors in a dataset that maps a plurality of names to a plurality of corresponding name vectors in a vector space, where each name vector includes representations associated with a plurality of words associated with each name. A plurality of face vectors corresponding to a plurality of face images is received. A face vector is selected from the plurality of face vectors based on a plurality of similarity scores calculated for the plurality of corresponding face vectors, where for each name vector, a similarity score is calculated based on the name vector and each face vector. The face image is output based on the selected face vector.

Abstract: Described are methods, systems, and computer-program product embodiments for selecting a face image based on a name. In some embodiments, a method includes receiving the name. Based on the name, a name vector is selected from a plurality of name vectors in a dataset that maps a plurality of names to a plurality of corresponding name vectors in a vector space, where each name vector includes representations associated with a plurality of words associated with each name. A plurality of face vectors corresponding to a plurality of face images is received. A face vector is selected from the plurality of face vectors based on a plurality of similarity scores calculated for the plurality of corresponding face vectors, where for each name vector, a similarity score is calculated based on the name vector and each face vector. The face image is output based on the selected face vector.

Abstract: A system and method of automating software fix installation rate management for a software package including two or more hierarchical levels include obtaining information from two or more customer systems. The information indicates software fixes installed at each of the two or more customer systems. The method also includes generating a report corresponding with each of the two or more customer systems. The report indicates a number of the software fixes installed at the respective one of the two or more customer systems as compared with an average number of the software fixes installed at the two or more customer systems at one of the two or more hierarchical levels. Determining whether to increase, decrease, or maintain a rate of installation of the software fixes at each of the two or more customer systems is based on the report corresponding with each of the two or more customer systems.

Abstract: A system and method of automating software fix installation rate management for a software package including two or more hierarchical levels include obtaining information from two or more customer systems. The information indicates software fixes installed at each of the two or more customer systems. The method also includes generating a report corresponding with each of the two or more customer systems. The report indicates a number of the software fixes installed at the respective one of the two or more customer systems as compared with an average number of the software fixes installed at the two or more customer systems at one of the two or more hierarchical levels. Determining whether to increase, decrease, or maintain a rate of installation of the software fixes at each of the two or more customer systems is based on the report corresponding with each of the two or more customer systems.

Abstract: Described are methods, systems, and computer-program product embodiments for selecting a face image based on a name. In some embodiments, a method includes receiving the name. Based on the name, a name vector is selected from a plurality of name vectors in a dataset that maps a plurality of names to a plurality of corresponding name vectors in a vector space, where each name vector includes representations associated with a plurality of words associated with each name. A plurality of face vectors corresponding to a plurality of face images is received. A face vector is selected from the plurality of face vectors based on a plurality of similarity scores calculated for the plurality of corresponding face vectors, where for each name vector, a similarity score is calculated based on the name vector and each face vector. The face image is output based on the selected face vector.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: automatically discovering enablement state variables respectively corresponding to products present in a computer system; processing the enablement state variables and associated values and making a separate file for disabled products; and make available the file for disabled products as inputs to subsequent system administration jobs.

Abstract: Embodiments of the invention are directed to methods for recommending software updates for a computer system. The method includes receiving a request to find software updates from a requesting computer system. The method further includes analyzing specifications of the requesting computer system and determining similar computer systems. The method further includes determining a subset of software updates for recommendation based on the determination. The method further includes presenting the subset to the requesting computer system.

Abstract: Embodiments of the invention are directed to methods for recommending software updates for a computer system. The method includes receiving a request to find software updates from a requesting computer system. The method further includes analyzing specifications of the requesting computer system and determining similar computer systems. The method further includes determining a subset of software updates for recommendation based on the determination. The method further includes presenting the subset to the requesting computer system.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: automatically discovering enablement state variables respectively corresponding to products present in a computer system; processing the enablement state variables and associated values and making a separate file for disabled products; and make available the file for disabled products as inputs to subsequent system administration jobs.

Abstract: A structure and method to establish an electrical connection between a tester and an electrical component. A flexible dielectric layer has a first side and a second side. A through via extends through the first side and the second side of the dielectric layer. A blind via is placed in a position that is offset from the through via and extends laterally in a first direction from a section of the first through via to a section of the flexible dielectric layer. The blind via extends in a second direction from the first side of the flexible dielectric layer to a section of the flexible dielectric layer that is between the first side and the second side of the dielectric layer. An electrically conductive member extends through the through via and extends into the blind via, thereby filling the through via and the blind via. The electrically conductive member has a first surface and a second surface.

Abstract: A structure and method to establish an electrical connection between a tester and an electrical component. A flexible dielectric layer has a first side and a second side. A through via extends through the first side and the second side of the dielectric layer. A blind via is placed in a position that is offset from the through via and extends laterally in a first direction from a section of the first through via to a section of the flexible dielectric layer. The blind via extends in a second direction from the first side of the flexible dielectric layer to a section of the flexible dielectric layer that is between the first side and the second side of the dielectric layer. An electrically conductive member extends through the through via and extends into the blind via, thereby filling the through via and the blind via. The electrically conductive member has a first surface and a second surface.

Abstract: A structure and method to establish an electrical connection between a tester and an electrical component. A flexible dielectric layer has a first side and a second side. A through via extends through the first side and the second side of the dielectric layer. A blind via is placed in a position that is offset from the through via and extends laterally in a first direction from a section of the first through via to a section of the flexible dielectric layer. The blind via extends in a second direction from the first side of the flexible dielectric layer to a section of the flexible dielectric layer that is between the first side and the second side of the dielectric layer. An electrically conductive member extends through the through via and extends into the blind via, thereby filling the through via and the blind via. The electrically conductive member has a first surface and a second surface.