Abstract: The present invention is directed to additive manufacturing compositions and methods for producing additive manufacturing composite blends with oxidized discrete carbon nanotubes with dispersion agents bonded to at least one sidewall of the oxidized discrete carbon nanotubes. Such compositions are especially useful when radiation cured, sintered or melt fused.

Abstract: The present invention is directed to additive manufacturing compositions and methods for producing additive manufacturing composite blends with oxidized discrete carbon nanotubes with dispersion agents bonded to at least one sidewall of the oxidized discrete carbon nanotubes. Such compositions are especially useful when radiation cured, sintered or melt fused.

Abstract: Outage detection in a cloud based service is provided using usage data based error signals. Usage data is collected from component of the cloud based service or client devices of the cloud based service based on customer actions on the cloud based service. The usage data is aggregated and normalized to generate an error signal from errors generated from a component of the cloud based service. An outage is detected from the error signal. An alert that includes information associated with the outage and one or more customers impacted by the outage is generated.

Abstract: Outage detection in a cloud based service is provided using synthetic measurements and anonymized usage data of the cloud based service. Synthetic measurements and usage data are processed through a shared aggregator to generate aggregated data. The synthetic measurements and the usage data are analyzed through a decision tree to correlate an outage based on the synthetic measurements and the usage data. A confidence value is assigned to the outage. An alert is generated that includes information associated with the outage and the confidence value.

Abstract: Anomalies detection in error signals of a cloud based service is provided. An application such as an analysis application identifies a machine learning algorithm that matches error signals of components of a cloud based service. A periodic pattern from the error signals is removed with the machine learning algorithm to filter the periodic pattern from an error count in the error signals. The error signals are processed with the machine learning algorithm to detect one or more anomalies with the components. The machine learning algorithm is updated while processing new data to detect new patterns.

Abstract: Anomalies detection in error signals of a cloud based service is provided. An application such as an analysis application identifies a machine learning algorithm that matches error signals of components of a cloud based service. A periodic pattern from the error signals is removed with the machine learning algorithm to filter the periodic pattern from an error count in the error signals. The error signals are processed with the machine learning algorithm to detect one or more anomalies with the components. The machine learning algorithm is updated while processing new data to detect new patterns.

Abstract: Outage detection in a cloud based service is provided using usage data based error signals. Usage data is collected from component of the cloud based service or client devices of the cloud based service based on customer actions on the cloud based service. The usage data is aggregated and normalized to generate an error signal from errors generated from a component of the cloud based service. An outage is detected from the error signal. An alert that includes information associated with the outage and one or more customers impacted by the outage is generated.

Abstract: Outage detection in a cloud based service is provided using synthetic measurements and anonymized usage data of the cloud based service. Synthetic measurements and usage data are processed through a shared aggregator to generate aggregated data. The synthetic measurements and the usage data are analyzed through a decision tree to correlate an outage based on the synthetic measurements and the usage data. A confidence value is assigned to the outage. An alert is generated that includes information associated with the outage and the confidence value.

Abstract: Disclosed are techniques for sharing user credentials between multiple client applications when connecting to a set of remote resources. The mechanism enables a single sign-on between a terminal server web access service and the remote applications, remote desktops and corresponding terminal servers accessible through the service. User credentials may be received by one of the client applications and passed to a credential store running as a local software object in association with the user's logon session. Further requests to launch a new remote connection may then pass through the credential store. Upon successful validation of the request, the credential store may attach user credential information to the request and pass the request to the requested client. The requested client may also execute as a software object associated with the current logon session. The client may then use the supplied credential for authentication to the requested resource or application.

Abstract: A usage data collection and evaluation mechanism may collect usage information from various sources and summarize the usage information to determine a role for a system. The role and usage information may be transmitted to a centralized server for aggregation and analysis. The collection and transmission of usage data may be governed by and conform to a privacy agreement and may be collected when an end user agrees to such collection. Role determination may be performed using data collected from a single device, multiple devices, or from a network monitoring system. The usage data collection and evaluation mechanism may determine an installed role base and any changes in the installed role base since a previous report.

Abstract: Disclosed are techniques for sharing user credentials between multiple client applications when connecting to a set of remote resources. The mechanism enables a single sign-on between a terminal server web access service and the remote applications, remote desktops and corresponding terminal servers accessible through the service. User credentials may be received by one of the client applications and passed to a credential store running as a local software object in association with the user's logon session. Further requests to launch a new remote connection may then pass through the credential store. Upon successful validation of the request, the credential store may attach user credential information to the request and pass the request to the requested client. The requested client may also execute as a software object associated with the current logon session. The client may then use the supplied credential for authentication to the requested resource or application.

Abstract: A usage data collection and evaluation mechanism may collect usage information from various sources and summarize the usage information to determine a role for a system. The role and usage information may be transmitted to a centralized server for aggregation and analysis. The collection and transmission of usage data may be governed by and conform to a privacy agreement and may be collected when an end user agrees to such collection. Role determination may be performed using data collected from a single device, multiple devices, or from a network monitoring system. The usage data collection and evaluation mechanism may determine an installed role base and any changes in the installed role base since a previous report.

Abstract: A liquid toner or developer for electrostatic images comprises a carrier liquid, insoluble marking particles and a dispersing agent. The dispersing agent is non-compatible with or insoluble in the carrier liquid. The liquid toner or developer does not need the use of a corona generating wire, roller or the like, to adjust or change the orientation of individual toner particles within the toner deposit prior to the development of the latent electrostatic image. For instance the liquid toner or developer is a three phase colloid system comprising a carrier liquid phase, a marking particle phase and a dispersing agent. The marking particles are insoluble in the carrier liquid and the dispersing agent phase. The dispersing agent comprising droplets which are non-compatible with or insoluble in the carrier liquid.

Abstract: The current methods for reconnecting intestinal tissues, suturing, or metallic staples, can result in a leaky anastomosis that may result in post-operative infections in the patient's abdominal cavity. By utilizing electrical current to bond or weld the intestinal tissue, this potential for leaky anastomosis can be significantly reduced. This invention provides tools and processes that allow electrical tissue bonding to be used on a hollow tissue, such as an intestine. This invention also discloses a means for further reducing the inherent problem of tissue sticking to the electrodes, by introducing a superior electrode design that uses a composite material, copper-molybdenum (CuMo).

Abstract: Technique for bonding soft biological tissue having an incision therein with forceps adapted to grip a portion of tissue on both sides of incision. Electrodes are secured to forceps for contracting the tissue portion. An electrical power source provides a high frequency electrical signal to electrodes to be passed through the tissue portion. The electrical power source is controlled to provide electrodes with one voltage signal during a first of two stages, wherein the voltage rises linearly, and another voltage signal during a second of the two stages, wherein the voltage is stabilized and modulated with a low frequency rectangular signal. A clamping means applies force with the forceps to compress the tissue at one or different levels during two time periods while the high frequency voltage is passed through the electrodes. The tissue impedance is measured as a function of time, with its minimal value being determined and stored.