Abstract: The present invention relates to a polyethylene composition comprising a base resin comprising a low molecular weight ethylene polymer component and a high molecular weight ethylene polymer component, wherein the high molecular weight ethylene polymer component has a higher weight average molecular weight than the low molecular weight ethylene polymer component, wherein the base resin has a density of at least 958.0 kg/m3, and the polyethylene composition a melt flow rate MFR2 (190° C., 2.16 kg) of from 0.50 to 0.80 g/10 min and a molecular weight distribution being the ratio of the weight average molecular weight and the number average molecular weight, Mw/Mn, of from 10.0 to 15.0, a process for producing said polyethylene composition, an article comprising said polyethylene composition and the use of said polyethylene composition for the production of a film.

Abstract: The invention relates to a system that implements an electronic exchange for bill pay transactions. The system comprises an electronic exchange network coupled to an electronic input, a memory component and a computer processor configured to perform the steps of: receiving electronic data files and payment files from a plurality of disparate bill payors; distributing data and funds to each participating lockbox provider file; creating an image of each transaction in the form of a non-negotiable check; creating image files for each lockbox provider participant from a plurality of lockbox provider participants, wherein each image file is indexed to each data file; consolidating image files, data files and payment files into an electronic package for each lockbox provider participant; and transmitting the electronic package to a respective lockbox provider participant.

Abstract: The present invention relates to a polyethylene composition comprising a base resin, wherein the base resin comprises (A) a first ethylene-1-butene copolymer fraction (A) having a 1-butene content of from 0.5 wt % to 7.5 wt %, based on the total weight amount of monomer units in the first ethylene-1-butene copolymer fraction (A), and a melt flow rate MFR2 in the range of from 1.0 to less than 50.0 g/10 min, determined according to ISO 1133 at a temperature of 190° C. and a load of 2.16 kg; and (B) a second ethylene-1-butene copolymer fraction having a higher 1-butene content as the first ethylene-1-butene copolymer fraction (B); wherein the base resin is polymerized in the presence of a single site catalyst system and has a density of from 913.0 to 920.0 kg/m3 and a 1-butene content of from 8.0 to 13.

Abstract: A system can monitor applications and analyze the metrics to determine if one or more of the applications are regressing or performing as expected. The metric analysis includes performing a first short term data analysis and, if data is not as expected, a second short term analysis based on machine learning-based pattern recognition machines. If the short-term analysis finds the metrics aren't as expected, a long-term analysis is performed. The long-term analysis can compare chunks of streaming metric data to cached metric blocks and historical data, and can include a concept drift analysis.

Abstract: The present invention relates to a polyethylene composition comprising a base resin comprising a low molecular weight ethylene polymer component and a high molecular weight ethylene polymer component, wherein the high molecular weight ethylene polymer component has a higher weight average molecular weight than the low molecular weight ethylene polymer component, wherein the base resin has a density of at least 958.0 kg/m3, and the polyethylene composition a melt flow rate MFR2 (190° C., 2.16 kg) of from 0.50 to 0.80 g/10 min and a molecular weight distribution being the ratio of the weight average molecular weight and the number average molecular weight, Mw/Mn, of from 10.0 to 15.0, a process for producing said polyethylene composition, an article comprising said polyethylene composition and the use of said polyethylene composition for the production of a film.

Abstract: The present system provides continuous delivery and service regression detection in real time based on log data. The log data is clustered based on textual and contextual similarity and can serve as an indicator for the behavior of a service or application. The clusters can be augmented with the frequency distribution of its occurrences bucketed at a temporal level. Collectively, the textual and contextual similarity clusters serve as a strong signature (e.g., learned representation) of the current service date and a strong indicator for predicting future behavior. Machine learning techniques are used to generate a signature from log data to represent the current state and predict the future behavior of the service at any instant in time.

Abstract: A system can monitor applications and analyze the metrics to determine if one or more of the applications are regressing or performing as expected. The metric analysis includes performing a first short term data analysis and, if data is not as expected, a second short term analysis based on machine learning-based pattern recognition machines. If the short-term analysis finds the metrics aren't as expected, a long-term analysis is performed. The long-term analysis can compare chunks of streaming metric data to cached metric blocks and historical data, and can include a concept drift analysis.

Abstract: The invention relates to an electronic exchange for bill pay transactions via an interbank information network (IIN) architecture. An embodiment of the present invention provides a marketplace for secure collection, assignment and distribution of payments and data from Bill Pay to Lockbox providers. This eliminates paper checks, resulting in faster deposit into client accounts, better management of payment exceptions, and reduction in overall operating costs. The IIN architecture provides a global platform using Blockchain technology for real-time interconnected flow of information that address immediate pain points across the financial industry and enable new services. With an embodiment of the present invention, a distributed network may streamline process for resolving compliance based inquiries and provide global beneficiary account validations.

Abstract: A system monitors applications, analyzes metrics, and provides a dashboard that communicates whether an application is performing as expected. The metric analysis includes performing one or more of a first short term data analysis, a second short term analysis based on machine learning-based pattern recognition machines, and a long-term analysis is performed. Transaction performance metrices are determined based on the monitored of the application. The transaction performance metrices are scored, scaled, and aggregated into a single scaled representation for the application. The scaled application value is then reported to a user through a dynamically updated dashboard. The dashboard displays graphical information representing the health of monitored transactions over time. The reported information can be expanded to additional layers of detail.

Abstract: The invention relates to a system that implements an electronic exchange for bill pay transactions. The system comprises an electronic exchange network coupled to an electronic input, a memory component and a computer processor configured to perform the steps of: receiving electronic data files and payment files from a plurality of disparate bill payors; distributing data and funds to each participating lockbox provider file; creating an image of each transaction in the form of a non-negotiable check; creating image files for each lockbox provider participant from a plurality of lockbox provider participants, wherein each image file is indexed to each data file; consolidating image files, data files and payment files into an electronic package for each lockbox provider participant; and transmitting the electronic package to a respective lockbox provider participant.

Abstract: Business transactions and the nodes processing the transactions may be monitored. Actions may be applied to one or more nodes when a performance issue is detected. A performance issue may relate to a metric associated with a transaction or node that processes the transaction. If a performance metric does not satisfy a health rule, the policy determines which action should be performed to correct the performance of the node. The corrective action may be applied to a node other than the node at which the performance metric is associated with. For example, if a performance metric for a first node does not satisfy a threshold, the corrective action may be applied to a second node. When a solution applied to a second node is found to correct the problem in first node, the solution may be applied to the other nodes experiencing the same problem.

Abstract: The present system uses delegates installed in remote environments to called and transmit, to a remote manager, time series metric data (or data from which metrics can be determined) in real-time. The numerical time series data is persisted, and a learned representation is generated from the data, for example by discretization. The learned representation is then clustered, the clusters are compared to new data, anomalies are determined, and deviation scores are calculated for the anomalies. The derivation scores are compared to thresholds, and results are reported through, for example, a user interface, dashboard, and/or other mechanism.

Abstract: The present system provides continuous delivery and service regression detection in real time based on log data. The log data is clustered based on textual and contextual similarity and can serve as an indicator for the behavior of a service or application. The clusters can be augmented with the frequency distribution of its occurrences bucketed at a temporal level. Collectively, the textual and contextual similarity clusters serve as a strong signature (e.g., learned representation) of the current service date and a strong indicator for predicting future behavior. Machine learning techniques are used to generate a signature from log data to represent the current state and predict the future behavior of the service at any instant in time.

Abstract: The present system uses delegates installed in remote environments to called and transmit, to a remote manager, time series metric data (or data from which metrics can be determined) in real-time. The numerical time series data is persisted, and a learned representation is generated from the data, for example by discretization. The learned representation is then clustered, the clusters are compared to new data, anomalies are determined, and deviation scores are calculated for the anomalies. The derivation scores are compared to thresholds, and results are reported through, for example, a user interface, dashboard, and/or other mechanism.

Abstract: Business transactions and the nodes processing the transactions are monitored and actions are applied to one or more nodes when a performance issue is detected. A performance issue may relate to a metric associated with a transaction or node that processes the transaction. If a performance metric determined from data captured by monitoring does not satisfy a health rule, the policy determines which action should be performed to correct the performance of the node. When a problem is detected for multiple nodes, the present technology may address a subset of the multiple nodes rather than apply an action to each node experiencing the problem. When a solution is found to correct the problem with the subset of nodes, the solution may be applied to the other nodes experiencing the same problem.

Abstract: Disclosed are examples that relate to searching for content associated with applications. In various examples, a system can include a computing device and a search interface component executable by the computing device. The search interface component can cause the computing device to obtain and validate a search query from a search component. The search interface component can search a search index of restricted application content that corresponds with the search query. The restricted application content is associated with a sandbox for a restricted application. The search interface component can also cause the computing device to provide search results to the search component.

Abstract: Composition for producing films with low amount of gels and good haze, wherein said composition comprises a polypropylene and a high density polyethylene powder.

Abstract: Disclosed are examples that relate to searching for content associated with applications. In various examples, a system can include a computing device and a search interface component executable by the computing device. The search interface component can cause the computing device to obtain and validate a search query from a search component. The search interface component can search a search index of restricted application content that corresponds with the search query. The restricted application content is associated with a sandbox for a restricted application. The search interface component can also cause the computing device to provide search results to the search component.

Abstract: Business transactions and the nodes processing the transactions may be monitored. Actions may be applied to one or more nodes when a performance issue is detected. A performance issue may relate to a metric associated with a transaction or node that processes the transaction. If a performance metric does not satisfy a health rule, the policy determines which action should be performed to correct the performance of the node. The corrective action may be applied to a node other than the node at which the performance metric is associated with. For example, if a performance metric for a first node does not satisfy a threshold, the corrective action may be applied to a second node. When a solution applied to a second node is found to correct the problem in first node, the solution may be applied to the other nodes experiencing the same problem.

Abstract: Disclosed are examples that relate to searching for content associated with applications. In various examples, a system can include a computing device and a search interface component executable by the computing device. The search interface component can cause the computing device to obtain a search query from a search component and search for application content associated with the search query. The application content can be associated with respective sandboxes. The search interface component can also cause the computing device to provide search results to the search component.