Abstract: A structural assembly includes a fastener and an additively manufactured component. The additively manufactured component includes a base, a void defined in the base, and a support disposed across the void. The fastener is secured to the base within the void, and the support is captured within a distal end portion of the fastener.

Abstract: Embodiments of the present invention provide methods, systems, apparatuses, and computer program products for predicting consumer behavior. In one embodiment a method is provided comprising automatically creating a link graph comprising nodes representing webpages, links representing hyperlinks, and weights for each link representing a number of times a hyperlink associated with the respective link redirected the a user devices from a webpage associated with a first node connected to the link to a webpage associated with a second node connected to the link; and determining based on the link graph a programmatically expected path for a particular user, wherein the programmatically expected path identifies, at least, two or more webpages that the particular user is programmatically expected to visit and specifying a programmatically expected order at which the particular user will visit the webpages.

Abstract: The unified payment system, product and method provide an effective and efficient way to better communicate to a merchant the value of running a promotion and determine a deal structure that works for the merchant, the customer, the promotion system, or any combination thereof. The unified payment system, product and method provide real-time ROI calculations that a merchant and sales representative can collaboratively simultaneously work on to identify a deal structure for the merchant to select. In this way, the merchant and sales representative may arrive at a mutually acceptable payment plan.

Abstract: Embodiments of the present invention provide methods, systems, apparatuses, and computer program products for predicting consumer behavior. In one embodiment a method is provided comprising automatically creating a link graph comprising nodes representing webpages, links representing hyperlinks, and weights for each link representing a number of times a hyperlink associated with the respective link redirected the a user devices from a webpage associated with a first node connected to the link to a webpage associated with a second node connected to the link; and determining based on the link graph a programmatically expected path for a particular user, wherein the programmatically expected path identifies, at least, two or more webpages that the particular user is programmatically expected to visit and specifying a programmatically expected order at which the particular user will visit the webpages.

Abstract: Embodiments of the present invention provide methods, systems, apparatuses, and computer program products for predicting consumer behavior. In one embodiment a method is provided comprising automatically creating a link graph comprising nodes representing webpages, links representing hyperlinks, and weights for each link representing a number of times a hyperlink associated with the respective link redirected the a user devices from a webpage associated with a first node connected to the link to a webpage associated with a second node connected to the link; and determining based on the link graph a programmatically expected path for a particular user, wherein the programmatically expected path identifies, at least, two or more webpages that the particular user is programmatically expected to visit and specifying a programmatically expected order at which the particular user will visit the webpages.

Abstract: The unified payment system, product and method provide an effective and efficient way to better communicate to a merchant the value of running a promotion and determine a deal structure that works for the merchant, the customer, the promotion system, or any combination thereof. The unified payment system, product and method provide real-time ROI calculations that a merchant and sales representative can collaboratively simultaneously work on to identify a deal structure for the merchant to select. In this way, the merchant and sales representative may arrive at a mutually acceptable payment plan.

Abstract: The unified payment system, product and method provide an effective and efficient way to better communicate to a merchant the value of running a promotion and determine a deal structure that works for the merchant, the customer, the promotion system, or any combination thereof. The unified payment system, product and method provide real-time ROI calculations that a merchant and sales representative can collaboratively simultaneously work on to identify a deal structure for the merchant to select. In this way, the merchant and sales representative may arrive at a mutually acceptable payment plan.

Abstract: Embodiments of the present invention provide methods, systems, apparatuses, and computer program products for predicting consumer behavior. In one embodiment a method is provided comprising automatically creating a link graph comprising nodes representing webpages, links representing hyperlinks, and weights for each link representing a number of times a hyperlink associated with the respective link redirected the a user devices from a webpage associated with a first node connected to the link to a webpage associated with a second node connected to the link; and determining based on the link graph a programmatically expected path for a particular user, wherein the programmatically expected path identifies, at least, two or more webpages that the particular user is programmatically expected to visit and specifying a programmatically expected order at which the particular user will visit the webpages.

Abstract: The method, apparatus and computer program product described herein is configured to train and deploy a predictive model that is configured to generate a predicted ROI value for a provider with respect to a current promotion or a future promotion. An example embodiment may comprise receiving input indicative of one or more attributes of a provider or a promotion. The example embodiment may further comprise generating at least one of a predicted return on investment (ROI) value or a predicted ROI component value based at least in part on the one or more attributes of the provider or the promotion and a ROI prediction model. The method may further still comprise generating a merchant impact report including the at least one of the predicted ROI value or the predicted ROI component value for the promotion.

Abstract: Embodiments of the present invention provide methods, systems, apparatuses, and computer program products for predicting consumer behavior. In one embodiment a method is provided comprising automatically creating a link graph comprising nodes representing webpages, links representing hyperlinks, and weights for each link representing a number of times a hyperlink associated with the respective link redirected the a user devices from a webpage associated with a first node connected to the link to a webpage associated with a second node connected to the link; and determining based on the link graph a programmatically expected path for a particular user, wherein the programmatically expected path identifies, at least, two or more webpages that the particular user is programmatically expected to visit and specifying a programmatically expected order at which the particular user will visit the webpages.

Abstract: The unified payment system, product and method provide an effective and efficient way to better communicate to a merchant the value of running a promotion and determine a deal structure that works for the merchant, the customer, the promotion system, or any combination thereof. The unified payment system, product and method provide real-time ROI calculations that a merchant and sales representative can collaboratively simultaneously work on to identify a deal structure for the merchant to select. In this way, the merchant and sales representative may arrive at a mutually acceptable payment plan.

Abstract: The method, apparatus and computer program product described herein is configured to train and deploy a predictive model that is configured to generate a predicted ROI value for a provider with respect to a current promotion or a future promotion. An example embodiment may comprise receiving input indicative of one or more attributes of a provider or a promotion. The example embodiment may further comprise generating at least one of a predicted return on investment (ROI) value or a predicted ROI component value based at least in part on the one or more attributes of the provider or the promotion and a ROI prediction model. The method may further still comprise generating a merchant impact report including the at least one of the predicted ROI value or the predicted ROI component value for the promotion.

Abstract: The unified payment system, product and method provide an effective and efficient way to better communicate to a merchant the value of running a promotion and determine a deal structure that works for the merchant, the customer, the promotion system, or any combination thereof. The unified payment system, product and method provide real-time ROI calculations that a merchant and sales representative can collaboratively simultaneously work on to identify a deal structure for the merchant to select. In this way, the merchant and sales representative may arrive at a mutually acceptable payment plan.

Abstract: The unified payment system, product and method provide an effective and efficient way to better communicate to a merchant the value of running a promotion and determine a deal structure that works for the merchant, the customer, the promotion system, or any combination thereof. The unified payment system, product and method provide real-time ROI calculations that a merchant and sales representative can collaboratively simultaneously work on to identify a deal structure for the merchant to select. In this way, the merchant and sales representative may arrive at a mutually acceptable payment plan.

Abstract: Memory demands of large-memory applications continue to remain one step ahead of the improvements in DRAM capacities of commodity systems. Performance of such applications degrades rapidly once the system hits the physical memory limit and starts paging to the local disk. A distributed network-based virtual memory scheme is provided which treats remote memory as another level in the memory hierarchy between very fast local memory and very slow local disks. Performance over gigabit Ethernet shows significant performance gains over local disk. Large memory applications may access potentially unlimited network memory resources without requiring any application or operating system code modifications, relinkling or recompilation. A preferred embodiment employs kernel-level driver software.

Abstract: There is a constant battle to break even between continuing improvements in DRAM capacities and the growing memory demands of large-memory high-performance applications. Performance of such applications degrades quickly once the system hits the physical memory limit and starts swapping to the local disk. We present the design, implementation and evaluation of Anemone—an Adaptive Network Memory Engine—that virtualizes the collective unused memory of multiple machines across a gigabit Ethernet LAN, without requiring any modifications to the either the large memory applications or the Linux kernel. We have implemented a working prototype of Anemone and evaluated it using real-world unmodified applications such as ray-tracing and large in-memory sorting. Our results with the Anemone prototype show that unmodified single-process applications execute 2 to 3 times faster and multiple concurrent processes execute 6 to 7.7 times faster, when compared to disk based paging.

Abstract: Memory demands of large-memory applications continue to remain one step ahead of the improvements in DRAM capacities of commodity systems. Performance of such applications degrades rapidly once the system hits the physical memory limit and starts paging to the local disk. A distributed network-based virtual memory scheme is provided which treats remote memory as another level in the memory hierarchy between very fast local memory and very slow local disks. Performance over gigabit Ethernet shows significant performance gains over local disk. Large memory applications may access potentially unlimited network memory resources without requiring any application or operating system code modifications, relinking or recompilation. A preferred embodiment employs kernel-level driver software.

Abstract: Memory demands of large-memory applications continue to remain one step ahead of the improvements in DRAM capacities of commodity systems. Performance of such applications degrades rapidly once the system hits the physical memory limit and starts paging to the local disk. A distributed network-based virtual memory scheme is provided which treats remote memory as another level in the memory hierarchy between very fast local memory and very slow local disks. Performance over gigabit Ethernet shows significant performance gains over local disk. Large memory applications may access potentially unlimited network memory resources without requiring any application or operating system code modifications, relinkling or recompilation. A preferred embodiment employs kernel-level driver software.