Abstract: Concepts and technologies disclosed herein are directed to virtual zones for Open Systems Interconnection (“OSI”) communication model layers 4-7 services in a cloud computing system. According to one aspect of the concepts and technologies disclosed herein, a cloud computing system can include a hardware resource and a virtual zone. The virtual zone can include a virtual network function (“VNF”) that is executable by the hardware resource. The VNF can support a service that operates within one of layers 4-7 of the OSI communication model. A computing system can detect new subscribers to the service within the virtual zone. The computing system also can determine that a capacity constraint exists within the virtual zone as a result of the new subscribers. The computing system also can home the new subscribers to the further virtual zone so that the further VNF can provide the service to the new subscribers.

Abstract: This disclosure involves allocating content-delivery resources to electronic content-delivery channels based on attribution models accuracy. For instance, a simulation is executed that involves simulating user exposures, times between user exposures, and user responses. The simulation is performed based on parameters associated with simulating user exposures to electronic content-delivery channels and user responses to the user exposures. An accuracy of a channel attribution model when estimating an attribution of an electronic content-delivery channel to a user response is evaluated based on the simulation. A channel attribution model is selected based on the evaluation. An attribution of the electronic content-delivery channel is determined by applying the selected channel attribution model to actual user exposures and actual user responses.

Abstract: Techniques are described for jointly modeling knowledge tracing and hint-taking propensity. During a read phase, a co-learning model accepts as inputs an identification of a question and the current knowledge state for a learner, and the model predicts probabilities that the learner will answer the question correctly and that the learner will use a learning aid (e.g., accept a hint). The predictions are used to personalize an e-learning plan, for example, to provide a personalized assessment. By using these predictions to personalize a learner's experience, for example, by offering hints at optimal times, the co-learning system increases efficiencies in learning and improves learning outcomes. Once a learner has interacted with a question, the interaction is encoded and provided to the co-learning model to update the learner's knowledge state during an update phase.

Abstract: Methods of forming a contact for a semiconductor device with double barrier layer sets, and a device so formed are disclosed. Methods may include: depositing a first metal layer contacting a semiconductor substrate in a contact opening; depositing a first nitride barrier layer on the first metal layer; and annealing after depositing the first nitride barrier layer to form silicide region in a junction area underlying the contact opening with the first metal layer and the semiconductor substrate. After the annealing, a second metal layer may be deposited, followed by a second nitride barrier layer. A conductor is formed in a remaining portion of the contact opening. The double barrier layer sets prevent the formation of volcano defects and also advantageously reduce contact resistance.

Abstract: This disclosure is related to a method of sequencing a single-stranded DNA using deoxynucleotide polyphosphate analogues and translocation of tags from incorporated deoxynucleotide polyphosphate analogues through a nanopore.

Abstract: This disclosure provides systems and methods for sequencing nucleic acids using nucleotide analogues and translocation of tags from incorporated nucleotide analogues through a nanopore. In aspects, this disclosure is related to composition, method, and system for sequencing a nucleic acid using tag molecules and detection of translocation through a nanopore of tags released from incorporation of the molecule.

Abstract: This disclosure provides systems and methods for attaching nanopore-detectable tags to nucleotides. The disclosure also provides methods for sequencing nucleic acids using the disclosed tagged nucleotides.

Abstract: Scalable data storage techniques are described. In one or more implementations, data is obtained by one or more computing devices that describes fault domains in a storage hierarchy and available storage resources in a data storage pool. Operational characteristics are ascertained, by the one or more computing devices, of devices associated with the available storage resources within one or more levels of the storage hierarchy. Distribution of metadata is assigned by the one or more computing devices to one or more particular data storage devices within the data storage pool based on the described fault domains and the ascertained operational characteristics of devices within one or more levels of the storage hierarchy.

Abstract: This disclosure involves predictive modeling with entity representations computed from neural network models simultaneously trained on multiple tasks. For example, a method includes a processing device performing operations including accessing input data for an entity and transforming the input data into a dense vector entity representation representing the entity. Transforming the input data includes applying, to the input data, a neural network including simultaneously trained propensity models. Each propensity model predicts a different task based on the input data. Transforming the input data also includes extracting the dense vector entity representation from a common layer of the neural network to which the propensity models are connected.

Abstract: A method, computer-readable storage device, and an apparatus for reducing power consumption in a wireless network are disclosed. For example, the method performs an analysis of a usage pattern for a cell site, determines whether a threshold is reached for reducing the power consumption based on the analysis of the usage pattern, and reduces the power consumption when the threshold is reached for reducing the power consumption.

Abstract: The present disclosure is directed toward systems and methods for identifying contributing factors associated with a multi-variable metric anomaly. One or more embodiments described herein identify one or more contributing factors that led to an anomaly in a multi-variable metric by calculating linearizing weights such that the total deviation in the multi-variable metric can be written as a weighted sum of deviations for dimension elements associated with the multi-variable metric.

Abstract: Techniques for analyzing marketing channels are described. Users are exposed to the marketing channels. User responses (e.g., purchases and no-purchases) to the exposures are tracked. Upon a request from a marketer to analyze an attribution of a marketing channel, the user responses are analyzed. The attribution represents the credit that the marketing channel should get for influencing the users exposed thereto into exhibiting a particular user response (e.g., a purchase). The analysis involves multiple steps. In a first step, a non-parametric estimation is used to generate a value function at a user-level. In a second step, a coalitional game approach is used to estimate the attribution based on the value function. A response is provided to the marketer with data about the attribution.

Abstract: Techniques for managing a marketing campaign of a marketer are described. In an example, the marketing campaign uses multiple marketing channels. Attribution of each marketing channel to a user conversion is estimated. Usage of a marketing channel within the marketing campaign is set according to the respective attribution. A marketing channel attribution model is selected from candidate marketing channel attribution models and is applied to estimate the attributions. The selection is based on the accuracy of each of the models associated with estimating the attributions given a set of parameters. To evaluate the accuracy, user journeys are simulated given the set of parameters. True attributions of each marketing channel are determined from the simulation. Each of the marketing channel attribution models is also applied to the simulation to generate estimated attributions. The true and estimated attributions are compared to derive the accuracies.

Abstract: Concepts and technologies disclosed herein are directed to virtual zones for Open Systems Interconnection (“OSI”) communication model layers 4-7 services in a cloud computing system. According to one aspect of the concepts and technologies disclosed herein, a cloud computing system can include a hardware resource and a virtual zone. The virtual zone can include a virtual network function (“VNF”) that is executable by the hardware resource. The VNF can support a service that operates within one of layers 4-7 of the OSI communication model. A computing system can detect new subscribers to the service within the virtual zone. The computing system also can determine that a capacity constraint exists within the virtual zone as a result of the new subscribers. The computing system also can home the new subscribers to the further virtual zone so that the further VNF can provide the service to the new subscribers.

Abstract: Embodiments of the present invention relate to providing business customers with predictive capabilities, such as identifying valuable customers or estimating the likelihood that a product will be purchased. An adaptive sampling scheme is utilized, which helps generate sample data points from large scale data that is imbalanced (for example, digital website traffic with hundreds of millions of visitors but only a small portion of them are of interest). In embodiments, a stream of sample data points is received. Positive samples are added to a positive list until the desired number of positives is reached and negative samples are added to a negative list until the desired number of negative samples is reached. The positive list and the negative list can then be combined, shuffled, and fed into a prediction model.

Abstract: An apparatus includes a network interface. The apparatus includes a processor coupled to the network interface. The apparatus further includes memory accessible to the processor. The memory includes instructions executable by the processor to perform operations. The operations include receiving user history data based on operation of a customer premise equipment device. The operations include determining additional information based on information extrapolated from the user history data. The operations include dynamically generating a user interface based on the user history data and based on the additional information. The operations further include initiating a transmission of the user interface to the customer premise equipment device.

Abstract: A semiconductor device and a fabricating method of semiconductor device are disclosed. The semiconductor device includes: a substrate having a bonding pad on a surface of the substrate; at least two semiconductor components each having a first surface and a second surface opposite the first surface, the semiconductor components stacked on top of each other on the surface of the substrate via a layer of component attach material attached on the second surface of the respective semiconductor component; an integral through via hole extending completely through the semiconductor components and the layers of component attach material and having a substantially uniform diameter along an extending direction of the integral through via hole aligned with the bonding pad on the surface of the substrate, and a continuous conductive material filled in the integral through via hole and in physical and electrical contact with the bonding pad of the substrate.

Abstract: This invention provides nucleotide analogues each of which comprises a tag comprising one or more Forster resonance energy transfer (FRET) acceptor fluorophores, a nucleotide polymerase having one or more FRET donor fluorophores, and methods for sequencing single-stranded

Abstract: Aspects of the subject disclosure may include, for example, a method in which first performance data and second performance data are obtained for a first virtual machine and a second virtual machine on a network, the performance data is analyzed, performance of the first virtual machine is predicted, and a performance trend for the first virtual machine is determined. Performance of the second virtual machine is predicted in accordance with analyzing of the second performance data and a potential transfer of execution of an application from the first virtual machine to the second virtual machine. Execution of the application is transferred to the second virtual machine after determining an expected improvement in execution of the application relative to the first virtual machine. Other embodiments are disclosed.

Abstract: According to one aspect disclosed herein, a service centric virtual network function architecture can be used for development and deployment of services in a cloud computing system. The cloud computing system can include a plurality of compute resources and a plurality of memory resources. A portion of the plurality of memory resources can include virtual machine monitor instructions. The virtual machine monitor instructions can be executed by a first portion of the plurality of compute resources to perform operations. In particular, the virtual machine monitor instructions can be executed by the first portion of the plurality of compute resources to instantiate a virtual network function to be executed by a second portion of the plurality of compute resources. The virtual network function can include at least a portion of a decomposition of a physical network function that supports at least a portion of a telecommunications service.