Abstract: According to a present invention embodiment, software is analyzed for security vulnerabilities. Information from a security scan of code is analyzed to identify a security issue pertaining to a code portion. A machine learning model determines an initial risk factor score for the security issue based on a history of information pertaining to one or more prior security scans. The initial risk factor score is refined to produce an overall risk factor score for the security issue based on a confidence of the initial risk factor score. The initial risk factor score is refined based on one or more risk factor scores for operations within the code applied to a variable of the code portion. A classification of the security issue is determined as one of a valid security issue and a false positive based on the overall risk factor score.

Abstract: Provided herein are compounds according to Formula (I) or a pharmaceutically acceptable salt thereof, wherein R1, R2, R3, R5, and R7 are defined herein. Also provided herein are pharmaceutical compositions comprising a compound of Formula (I) as well as the use of such compounds as M4 receptor agonists.

Abstract: A polyurethane urea fiber or film is made having high elongation, low modulus, low hysteresis loss, and excellent clastic recovery. The clastic polyurethane clastic fiber or film is formed from a copolymer glycol, a diisocyanate, a chain extender and optionally a chain terminator. The hard segment content of the polyurethane fibers is in the range of 8.0-13.0% by weight.

Abstract: A system can assign respective first elements of a first application programming interface (API) to respective first objects in a graph representation, wherein the respective objects correspond to respective syntactic representations of the first API. The system can determine that an action, taken with respect to a user account, has invoked a second API via an API call, wherein respective second elements of the second API are assigned to respective second objects in the graph representation. The system can determine that the first API satisfies a first similarity criterion with respect to the second API. The system can determine that the first API is superior to the second API according to a second criterion. The system can send, for access via the user account, an indication of the second API.

Abstract: A thermal insulation backpack comprises a main body and an adapter assembly. The main body has a thermal insulation accommodation cavity and a connection hole in communication with the thermal insulation accommodation cavity. The adapter assembly comprises a fixing frame, a sealing screen, and a reset assembly. An outer periphery of the sealing screen has a sealing strip protruding outward. The fixing frame includes a connection recess and a first through slot. The first through slot is connected to the thermal insulation accommodation. The sealing screen is connected to the reset assembly. When the adapter assembly is not connected to an external cooling apparatus, the sealing strip presses against a lower end of the connection recess and when connected to an external cooling apparatus, the sealing screen moves toward the interior of the thermal insulation accommodation cavity and the connection recess is communicated with the first through slot.

Abstract: Methods and systems for managing customer-encountered issues are disclosed. To manage the customer-encountered issues, cognitive loads likely to be imposed on service agents for resolving the customer-encountered issues may be estimated. The cognitive load estimates may be used to identify service agents likely to be able to shoulder the cognitive loads for resolving the customer-encountered issues thereby reducing the likelihood of occurrence of resolution attempt failures. Consequently, the average time to resolve customer-encountered issues may be reduced through reduced likelihood of escalation of the customer-encountered issues.

Abstract: Methods and systems for managing customer-encountered issues are disclosed. To manage the customer-encountered issues, skill levels of service agents assignable to resolve the issues and skills likely to be needed to resolve the issues may be identified to reduce time to resolution. Service agents having levels of skills commensurate with the level of skill likely to be required to resolve the issues may be assigned to resolve the issues. Rather than rigidly defining the skills, the skills may be defined through taxonomic analysis of descriptions of the customer-encountered issues. The taxonomic analysis may be used to identify groupings of previously resolved customer-encountered issues. Each grouping may be treated as requiring a separate skill to resolve the customer-encountered issues that are members of the grouping.

Abstract: Methods and systems for managing customer-encountered issues are disclosed. To manage the customer-encountered issues, a multiphase optimization process may be implemented to select a service agent to resolve each customer-encountered issue. The multiphase analysis may include a process of identifying service agents qualified to attempt to resolve each customer-encountered issue. The multiphase optimization may also include a process of ranking the qualified service agents based on their past performance and experience. The multiphase optimization may also include a process for estimating the likelihood of each of the qualified service agents resolving each customer-encountered issue within prescribed goals.

Abstract: Methods and systems for managing customer-encountered issues are disclosed. To manage the customer-encountered issues, a ranking process and multifactor selection process may be implemented to select a service agent to resolve each customer-encountered issue. The rankings ascribed to be service agents may be based on the proficiency levels of the service agents to resolve customer-encountered issues. The proficiency levels may be based on quantifiable information, and may be obtained using an automated process. During selection, the rankings and factors such as current workload may be taken into account to improve the likelihood that goals for working the customer-encountered issues are more likely to be met.

Abstract: The present invention relates to compounds of formula (I) as activators of glucagon-like peptide 1 (GLP1) receptor for the treatment of obesity, type 2 diabetes mellitus, insulin resistance, hyperinsulinemia, glucose intolerance, hyperglycemia, one or more diabetic complications, diabetic nephropathy, dyslipidemia, non-alcoholic fatty liver disease (NAFLD), non-alcoholic steatohepatitis (NASH), hypertension, atherosclerosis, peripheral arterial disease, stroke, cardiomyopathy, atrial fibrillation, heart failure, coronary heart disease and neuropathy. Preferred compounds are e.g. 2-((4-((S)-2-(4-chloro-2-fluorophenyl)-2-methylbenzo[d][1,3]dioxol-4-yl)piperidin-1-yl)methyl)-1-(((S)-oxetan-2-yl)methyl)-1H-imidazole derivatives and similar compounds, such as e.g. C-1, C-2, C-3, C-4 and other compounds.

Abstract: Provided herein are compounds according to Formula (I) or a pharmaceutically acceptable salt thereof, wherein R1, R2, R3, R5, and R7 are defined herein. Also provided herein are pharmaceutical compositions comprising a compound of Formula (I) as well as the use of such compounds as M4 receptor agonists.

Abstract: A system, method, and computer-readable medium for performing a data center monitoring and management operation. The data center monitoring and management operation includes: monitoring an interaction of a user with a data center monitoring and management console throughout a plurality of developer journey steps, the interaction of the user including interaction with a plurality of application program interfaces; analyzing the interaction with the plurality of application program interfaces associated with each of the plurality of developer journey steps; and, generating an application program interface readiness score for each of the plurality of application program interfaces based upon the analyzing.

Abstract: The present invention provides a capacitive voltage transformer, including: a capacitive voltage-dividing component and an electromagnetic unit. The capacitive voltage-dividing component comprises: one or more levels of stacks, and each stack is a coupling capacitor. The coupling capacitor includes: an upper cover plate, a lower cover plate, an insulating sleeve, a capacitor core, squirrel cage electrodes, volume matching devices, a high voltage lead, and a low voltage lead. The lowermost coupling capacitor is provided with a medium voltage lead and a lead terminal. The low voltage lead of the lowermost coupling capacitor is led out through a low-voltage leading-out tube arranged in the lead terminal, and the medium voltage lead of the lowermost coupling capacitor is led out through a medium-voltage leading-out post arranged in the lead terminal. The medium-voltage leading-out post passes through and out of the low-voltage leading-out tube and is arranged coaxially with the low-voltage leading-out tube.

Abstract: Techniques for training and/or using a machine learning (ML) algorithm to generate search results are disclosed. An ML algorithm is configured (i) to identify a search starting event and a search terminating event for a search session, where the search session includes multiple navigations across multiple different webpages, and (ii) to derive a dynamic score for the search session, where the dynamic score reflects whether the search session successfully identified an end result that was initially unknown at a time when the search starting event occurred. The trained ML algorithm can then be used during later search sessions to promote better search results and help users identify end targets or results in a faster and more intuitive manner.

Abstract: A system can associate respective tags with respective online documentation content. The system can track user events in interacting with a user interface, wherein the user events are associated with a user account. The system can determine respective scores for respective tags based on the user events and the respective tags. The system can present first online documentation content of the respective online documentation content with the user account based the first online documentation content corresponding to a first tag of the respective tags having a first score of the respective scores that is determined to be above a defined threshold value.

Abstract: Provided herein are compounds according to Formula (I) or a pharmaceutically acceptable salt thereof, wherein R1, R2, R3, R5, and R7 are defined herein. Also provided herein are pharmaceutical compositions comprising a compound of Formula (I) as well as the use of such compounds as M4 receptor agonists.

Abstract: Selecting a review panel of dissimilar peers. An asset is reviewed from an ethical perspective by a panel of reviewers. The panel of reviewers includes members that are selected based on their dissimilarity to creators of the asset. Selecting dissimilar members for the panel of reviewers allows bias in the asset to be identified and remedied. A portion of the panel of reviewers may be selected randomly to further improve the effectiveness of the panel of reviewers in reviewing the asset for ethicalness.

Abstract: Techniques for training and/or using a machine learning (ML) algorithm to generate search results are disclosed. An ML algorithm is configured (i) to identify a search starting event and a search terminating event for a search session, where the search session includes multiple navigations across multiple different webpages, and (ii) to derive a dynamic score for the search session, where the dynamic score reflects whether the search session successfully identified an end result that was initially unknown at a time when the search starting event occurred. The trained ML algorithm can then be used during later search sessions to promote better search results and help users identify end targets or results in a faster and more intuitive manner.

Abstract: Methods and systems for managing customer encountered issue resolution are disclosed. To manage the customer encountered issue resolution, tickets for the customer encountered issues may be managed to reduce suffering and reduce the rate of ticket churn. To do so, customer pain levels may be identified and used to prioritize resource deployment for ticket resolution. The tickets may be classified into groups for resolution via automated or human-assisted processes, which may be limited in capacity. To ascertain the pain levels of the customers, communications from the customers may be emotionally analyzed to identify emotions present in the customers. The identified emotions may be used to identify whether performed remediation processes for resolving the customer encountered issues were successful, and to what extent they were successful.

Abstract: Systems and methods provide a user input predictive action system and method for an Information Handling System (IHS). In some embodiments, the user input predictive action system includes computer-executable instructions to launch a Graphical User Interface (GUI) and a Command Line Interface (CLI) on a display, store usage information about a plurality of operations performed using at least one of the GUI or the CLI, and identify contextual information about one or more operations performed on the CLI or the GUI using the stored usage information. When the user is using the CLI, the instructions provide the contextual information to the user for aiding the user with entering a command using the CLI or the GUI.