Abstract: A camera system for use with retractors. The system includes a camera assembly configured for mounting on the proximal end of a retractor system, such as the proximal end of a blade such that the entirety of the camera assembly is disposed at the proximal end of the retractor system may be disposed such that the distal-most optical element overhangs the working channel established by the retractor, and includes a reflector and a rotatable mount for the reflector, camera assembly viewing axis may be altered without changing the position of the entire camera assembly.

Abstract: A camera system for use with retractors. The system includes a camera assembly configured for mounting on the proximal end of a retractor system, such as the proximal end of a blade such that the entirety of the camera assembly is disposed at the proximal end of the retractor system may be disposed such that the distal-most optical element overhangs the working channel established by the retractor, and includes a reflector and a rotatable mount for the reflector, camera assembly viewing axis may be altered without changing the position of the entire camera assembly.

Abstract: A camera system for use with retractors. The system includes a camera assembly configured for mounting on the proximal end of a retractor system, such as the proximal end of a blade such that the entirety of the camera assembly is disposed at the proximal end of the retractor system may be disposed such that the distal-most optical element overhangs the working channel established by the retractor, and includes a reflector and a rotatable mount for the reflector, camera assembly viewing axis may be altered without changing the position of the entire camera assembly.

Abstract: Aspects of the disclosure relate to using machine learning for optimized call routing. A computing platform may receive requests to establish a voice call session. Based on corresponding phone numbers, the computing platform may identify demographic information for corresponding clients. Using a machine learning model and based on the demographic information and representative performance data, the computing platform may score potential client-representative combinations to indicate likelihoods of a successful outcome resulting from establishing a voice call session between the respective client and representative. Scoring the potential client-representative combinations may be based on fall off rates, indicating changes in representative effectiveness as hold time increases. The computing platform may adjust the scores based on a historical frequency of interaction between each representative and clients corresponding to the identified demographic information.

Abstract: Aspects of the disclosure relate to using machine learning for optimized call routing. A computing platform may receive requests to establish a voice call session. Based on corresponding phone numbers, the computing platform may identify demographic information for corresponding clients. Using a machine learning model and based on the demographic information and representative performance data, the computing platform may score potential client-representative combinations to indicate likelihoods of a successful outcome resulting from establishing a voice call session between the respective client and representative. Scoring the potential client-representative combinations may be based on fall off rates, indicating changes in representative effectiveness as hold time increases. The computing platform may adjust the scores based on a historical frequency of interaction between each representative and clients corresponding to the identified demographic information.

Abstract: Aspects of the disclosure relate to using machine learning for optimized call routing. A computing platform may receive requests to establish a voice call session. Based on corresponding phone numbers, the computing platform may identify demographic information for corresponding clients. Using a machine learning model and based on the demographic information and representative performance data, the computing platform may score potential client-representative combinations to indicate likelihoods of a successful outcome resulting from establishing a voice call session between the respective client and representative. Scoring the potential client-representative combinations may be based on fall off rates, indicating changes in representative effectiveness as hold time increases. The computing platform may adjust the scores based on a historical frequency of interaction between each representative and clients corresponding to the identified demographic information.

Abstract: A power turbine includes a second stage blade having an airfoil with a cold un-coated nominal profile substantially in accordance with at least an intermediate portion of the Cartesian coordinate values of X, Y and Z set forth in Table 2. The X and Y values are distances, which when smoothly connected by an appropriate continuing curve, define airfoil profile sections at each distance Z. The profile sections at each distance Z are joined smoothly to one another to form a complete airfoil shape.

Abstract: A power turbine includes a first stage blade having an airfoil with a cold un-coated nominal profile substantially in accordance with at least an intermediate portion of the Cartesian coordinate values of X, Y and Z set forth in Table 2. The X and Y values are distances, which when smoothly connected by an appropriate continuing curve, define airfoil profile sections at each distance Z. The profile sections at each distance Z are joined smoothly to one another to form a complete airfoil shape.

Abstract: A power turbine includes a second stage blade having an airfoil with a cold un-coated nominal profile substantially in accordance with at least an intermediate portion of the Cartesian coordinate values of X, Y and Z set forth in Table 2. The X and Y values are distances, which when smoothly connected by an appropriate continuing curve, define airfoil profile sections at each distance Z. The profile sections at each distance Z are joined smoothly to one another to form a complete airfoil shape.

Abstract: A power turbine includes a first stage blade having an airfoil with a cold un-coated nominal profile substantially in accordance with at least an intermediate portion of the Cartesian coordinate values of X, Y and Z set forth in Table 2. The X and Y values are distances, which when smoothly connected by an appropriate continuing curve, define airfoil profile sections at each distance Z. The profile sections at each distance Z are joined smoothly to one another to form a complete airfoil shape.

Abstract: Examples of computing devices and assemblies for mounting computer components to an enclosure or other structure of the computing device are described. In some examples, the mounting assembly may include a compliant member having a plurality of corner portions configured to engage the corners of the component. The mounting assembly may also include a bracket configured to enclose at least a portion of the compliant member. The mounting bracket may be configured to mount the component at an angle relative to the enclosure or other structure, and may include one or more features adapted for improved cooling of the component mounted therein. The compliant member may include a plurality of ribs or other retaining elements for maintaining the component in a spaced apart position relative to the mounting bracket.

Abstract: Computing devices and microphone assemblies including acoustic waveguides are described. According to some examples, a computing device may include an enclosure, a microphone which may be spaced apart and angled relative to the interior surface of the enclosure to which the microphone may be coupled. The computing device may further include an acoustic waveguide disposed between the microphone and the interior surface of the enclosure, the acoustic waveguide having a passage for allowing acoustic energy to be transmitted from a microphone opening in the enclosure to the receiving element of the microphone (also referred to as sensing element, or microphone sensor).

Abstract: Computing devices and microphone assemblies including acoustic waveguides are described. According to some examples, a computing device may include an enclosure, a microphone which may be spaced apart and angled relative to the interior surface of the enclosure to which the microphone may be coupled. The computing device may further include an acoustic waveguide disposed between the microphone and the interior surface of the enclosure, the acoustic waveguide having a passage for allowing acoustic energy to be transmitted from a microphone opening in the enclosure to the receiving element of the microphone (also referred to as sensing element, or microphone sensor).

Abstract: Examples of computing devices and assemblies for mounting computer components to an enclosure or other structure of the computing device are described. In some examples, the mounting assembly may include a compliant member having a plurality of corner portions configured to engage the corners of the component. The mounting assembly may also include a bracket configured to enclose at least a portion of the compliant member. The mounting bracket may be configured to mount the component at an angle relative to the enclosure or other structure, and may include one or more features adapted for improved cooling of the component mounted therein. The compliant member may include a plurality of ribs or other retaining elements for maintaining the component in a spaced apart position relative to the mounting bracket.

Abstract: Examples of networking hardware with network layout maps thereon are disclosed herein. Other examples, embodiments, and related methods are also described herein.

Abstract: In one embodiment, a networking hardware element (1100, 3100) capable of coupling computer network elements (1010) comprises a network diagnostic mechanism (2140) that is capable of mapping the computer network elements and that is also capable of determining a connection status for the computer network elements. The networking hardware element also comprises a display (2110, 3110, 5110) that is capable of communicating with the network diagnostic mechanism and that is also capable of displaying a network layout map (2111, 5111) of representations of the computer network elements and the connection status of the computer network elements.

Abstract: In one embodiment, a networking hardware element (1100, 3100) capable of coupling computer network elements (1010) comprises a network diagnostic mechanism (2140) that is capable of mapping the computer network elements and that is also capable of determining a connection status for the computer network elements. The networking hardware element also comprises a display (2110, 3110, 5110) that is capable of communicating with the network diagnostic mechanism and that is also capable of displaying a network layout map (2111, 5111) of representations of the computer network elements and the connection status of the computer network elements.