Abstract: The present disclosure provides a flexible container (10). In an embodiment, the flexible container includes a front panel (22), a rear panel (24), a first gusseted side panel (18), and a second gusseted side panel (20). The gusseted side panels adjoin the front panel and the rear panel along peripheral seals (41) to form a chamber. The panels form (i) a top portion, (ii) a body portion, and (iii) a bottom portion. The top portion comprises a neck (27) and a fitment (30) in the neck. The front panel comprises a front handle (82) extending therefrom and the rear panel comprises a rear handle (84) extending therefrom. The front handle and the rear handle are in opposing relation to each other, the front handle and the rear handle extending over the first gusseted side panel.

Abstract: Disclosed herein is a system for minimizing the amount of time it takes to process and understand an unstructured, text-heavy document that includes important security-related information. The system uses a model that implements natural language processing techniques to semantically analyze an unstructured, text-heavy document, in order to identify notable security features useable to resolve the security issues in a more effective and efficient manner (e.g., without the need for a technical security professional). More specifically, the system receives an unstructured document that includes text which may be provided by multiple different security providers. The system is configured to apply the model to various text segments (e.g., a phrase, a sentence, a paragraph, etc.) included in the unstructured document to identify notable security features. The model can then associate the notable security features with a prescribed set of mitigation actions that can be implemented to resolve a security issue.

Abstract: Disclosed herein is a system for minimizing the amount of time it takes to process and understand an unstructured, text-heavy document that includes important security-related information. The system uses a model that implements natural language processing techniques to semantically analyze an unstructured, text-heavy document, in order to identify notable security features useable to resolve the security issues in a more effective and efficient manner (e.g., without the need for a technical security professional). More specifically, the system receives an unstructured document that includes text which may be provided by multiple different security providers. The system is configured to apply the model to various text segments (e.g., a phrase, a sentence, a paragraph, etc.) included in the unstructured document to identify notable security features. The model can then associate the notable security features with a prescribed set of mitigation actions that can be implemented to resolve a security issue.

Abstract: The present disclosure provides a flexible container (10). In an embodiment, the flexible container includes a front panel (22), a rear panel (24), a first gusseted side panel (18), and a second gusseted side panel (20). The gusseted side panels adjoin the front panel and the rear panel along peripheral seals (41) to form a chamber. The panels form (i) a top portion, (ii) a body portion, and (iii) a bottom portion. The top portion comprises a neck (27) and a fitment (30) in the neck. The front panel comprises a front handle (82) extending therefrom and the rear panel comprises a rear handle (84) extending therefrom. The front handle and the rear handle are in opposing relation to each other, the front handle and the rear handle extending over the first gusseted side panel.

Abstract: The present disclosure provides a flexible container. In an embodiment, the flexible container include (A) a front panel, a rear panel, a first gusseted side panel, and a second gusseted side panel. The gusseted side panels adjoin the front panel and the rear panel along peripheral seals to from a chamber. (B) Each peripheral seal has (i) an arcuate body seal inner edge (ABSIE) with opposing ends, (ii) a tapered seal inner edge (TSIE) extending from each end of the body seal. (C) The flexible container includes at least one ABSIE having a radius of curvature, Rc, from 1.0 mm to 300.0 mm.

Abstract: The present disclosure provides a flexible container. In an embodiment, the flexible container includes (A) a front panel, a rear panel, a first gusseted side panel, and a second gusseted side panel. The gusseted side panels adjoin the front panel and the rear panel along peripheral seals to form a chamber. (B) Each peripheral seal has (i) a body seal inner edge (BSIE) with a bottom end and an opposing top end, (ii) a bottom tapered seal inner edge (b-TSIE) extending from the BSIE bottom end, and (iii) a top tapered seal inner edge (t-TSIE) extending from the BSIE top end. (C) The t-TSIE has a length that is at least 1.1 times greater than the length of the BSIE (in mm).

Abstract: The present disclosure provides a flexible container. In an embodiment, the flexible container includes (A) a front panel, a rear panel, a first gusseted side panel, and a second gusseted side panel. The gusseted side panels adjoin the front panel and the rear panel along peripheral seals to form a chamber. (B) Each peripheral seal has (i) an arcuate body seal inner edge (ABSIE) with opposing ends, (ii) a tapered seal inner edge (TSIE) extending from each end of the body seal, and (iii) a corner arc where each tapered seal inner edge extends from a respective ABSIE end. (C) The flexible container includes at least one corner arc having a radius of curvature, Rc, from 1.0 mm to 300.0 mm.

Abstract: The present disclosure provides a flexible container. In an embodiment, the flexible container include (A) a front panel, a rear panel, a first gusseted side panel, and a second gusseted side panel. The gusseted side panels adjoin the front panel and the rear panel along peripheral seals to from a chamber. (B) Each peripheral seal has (i) an arcuate body seal inner edge (ABSIE) with opposing ends, (ii) a tapered seal inner edge (TSIE) extending from each end of the body seal. (C) The flexible container includes at least one ABSIE having a radius of curvature, Rc, from 1.0 mm to 300.0 mm.

Abstract: The present disclosure provides a flexible container. In an embodiment, the flexible container includes (A) a front panel, a rear panel, a first gusseted side panel, and a second gusseted side panel. The gusseted side panels adjoin the front panel and the rear panel along peripheral seals to form a chamber. (B) Each peripheral seal has (i) a body seal inner edge (BSIE) with a bottom end and an opposing top end, (ii) a bottom tapered seal inner edge (b-TSIE) extending from the BSIE bottom end, and (iii) a top tapered seal inner edge (t-TSIE) extending from the BSIE top end. (C) The t-TSIE has a length that is at least 1.1 times greater than the length of the BSIE (in mm).

Abstract: Techniques are described for managing program execution capacity used to execute software programs, such as for a group of computing nodes in use executing one or more programs for a user. Dynamic modifications to the program execution capacity of the group may include adding or removing computing nodes, such as based on automated determinations that previously specified criteria are currently satisfied. The described techniques further include tracking information about changes that occur in one or more capacity utilization metrics of interest in response to dynamic modifications to the program execution capacity of the group, and then using such learned responses to determine a customized capacity modification policy that is configured for the actual operation of the software program(s) for the user. In some situations, the techniques are used in conjunction with a fee-based program execution service that executes multiple programs on behalf of multiple users of the service.

Abstract: A method is provided for estimating past data by identifying a high frequency data set for a defined time period. A pattern is calculated for the high frequency data set and then the pattern is applied to a low frequency data set in a past time period to estimate a high frequency query point.

Abstract: The present disclosure provides a flexible container. In an embodiment, the flexible container includes (A) a front panel, a rear panel, a first gusseted side panel, and a second gusseted side panel. The gusseted side panels adjoin the front panel and the rear panel along peripheral seals to form a chamber. The flexible container includes (B) each peripheral seal having (i) a body seal inner edge (BSIE) with opposing ends, (ii) a tapered seal inner edge (TSIE) extending from each end of the body seal, and (iii) an inner arc where each tapered seal inner edge extends from a respective BSIE end. The flexible container includes (C) at least one inner arc having a radius of curvature, Rc, from greater than 3.18 mm to 7.95 mm.

Abstract: Systems and methods are provided for analyzing operating metrics of monitored metric sources. Aspects of the present disclosure may present for display information associated with the monitored metric source and the analysis of its operating metrics. Analysis comprises determination of reference values and tolerance levels which represent allowable deviations from the reference values. Input data includes a measurement of an operating parameter and a time stamp. Input data may be saved to a data store for using in future analysis of other input data. When input data is determined to be outside the tolerance level, notifications may be issued to alert administrators or systems of the anomaly.

Abstract: Disclosed are various embodiments for using media reported events to generate predictions for time series data. Information retrieved from a plurality of network content sources is classified into a plurality of categories. A prediction is generated for a time series. The time series is associated with a metric observed in a computing system. The generated prediction takes into account an impact of at least one of instance of the classified information.

Abstract: A method is provided for estimating past data by identifying a high frequency data set for a defined time period. A pattern is calculated for the high frequency data set and then the pattern is applied to a low frequency data set in a past time period to estimate a high frequency query point.

Abstract: The techniques described herein provide software testing that may concurrently process a user request using a live version of software and a shadow request, which is based on the user request, using a shadow version of software (e.g., trial or test version, etc.). The live version of software, unlike the shadow version, is user-facing and transmits data back to the users while the shadow request does not output to the users. An allocation module may vary allocation of the shadow requests to enable a ramp up of allocations (or possibly ramp down) of the shadow version of software. The allocation module may use allocation rules to dynamically initiate the shadow request based on various factors such as load balancing, user attributes, and/or other rules or logic. Thus, not all user requests may be issued as shadow requests.

Abstract: Examples of systems and methods are described for managing computing capacity by a provider of computing resources. The computing resources may include program execution capabilities, data storage or management capabilities, network bandwidth, etc. Multiple user programs can consume a single computing resource, and a single user program can consume multiple computing resources. Changes in usage and other environmental factors can require scaling of the computing resources to reduce or prevent a negative impact on performance. In some implementations, a fuzzy logic engine can be used to determine the appropriate adjustments to make to the computing resources associated with a program in order to keep a system metric within a desired operating range.

Abstract: Systems and methods are provided for analyzing operating metrics of monitored metric sources. Aspects of the present disclosure may present for display information associated with the monitored metric source and the analysis of its operating metrics. Analysis comprises determination of reference values and tolerance levels which represent allowable deviations from the reference values. Input data includes a measurement of an operating parameter and a time stamp. Input data may be saved to a data store for using in future analysis of other input data. When input data is determined to be outside the tolerance level, notifications may be issued to alert administrators or systems of the anomaly.

Abstract: Systems and methods are provided for analyzing operating metrics of monitored metric sources. Aspects of the present disclosure may present for display information associated with the monitored metric source and the analysis of its operating metrics. Analysis comprises determination of reference values and tolerance levels which represent allowable deviations from the reference values. Input data includes a measurement of an operating parameter and a time stamp. Input data may be saved to a data store for using in future analysis of other input data. When input data is determined to be outside the tolerance level, notifications may be issued to alert administrators or systems of the anomaly.

Abstract: Computer applications may generate event data based on a large volume of different types of record data. Described herein are systems, methods and devices for providing website recommendations using the event data. In one example, using the event data, a computing node generates the website recommendations within a designated amount of time after the generation of the record data.