Abstract: Techniques are described for analyzing communications sent during a service session to provide (e.g., customer) service on a social media channel, the analysis to determine a quality of service provided during the session. Natural language processing, lexical analysis, pattern matching, or other types of analysis may be used to determine an empathy factor and a conversational factor for communications between a service representative (SR) and a user during a session. The factors may be combined with other factors, such as a timely acknowledgement factor and a timely resolution factor, to generate a response quality index (RQI) for the session. Based on the RQI, feedback information may be generated and sent to the SR. In some implementations, the communications may be analyzed and feedback information sent to the SR in real time during the session, to dynamically improve service quality.

Abstract: A compound, or a pharmaceutically acceptable salt or ester thereof, comprising (i) a CB1 receptor mediating scaffold and (ii) a second therapeutic scaffold.

Abstract: A system and method for motivating parking enforcement officer performance with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.

Abstract: A system may deliver contextual services with dynamic intelligent behavior. The system may receive a first request from a device of a user. The system may retrieve a response to the request. The system may anticipate that the user is going to make a second request. The system may retrieve a response to the second request. The system may store the response to the second request in a temporary memory, such that the response may be quickly transmitted to the device if the user submits the second request. In some cases, the system may transmit the response to the second request without the user submitting the second request.

Abstract: Some embodiments provide an end-to-end federated CDN solution that assimilates a transparent caching server that is operated by a transparent caching server operator into a CDN that independently operates CDN caching servers. Specifically, the logs from the transparent caching server are assimilated into the CDN by aggregating the logs from the transparent caching server and processing the transparent caching server logs to identify network usage for content of a CDN content provider customer that is delivered by the transparent caching server. The network usage is then combined with the network usage that tracked by the CDN caching servers in order to provide comprehensive report metrics for the content provider customer and to bill the content provider customer for all network usage related to delivering the content provider customer's content irrespective of whether the content was delivered by a transparent caching server or a CDN caching server.

Abstract: A device receives image data of a contractual document that includes an offer including terms of a proposed transaction, converts the image data to text data that identifies text within the contractual document, and receives preferences information for a recipient of the offer. The device identifies key terms within the contractual document by using term identification to analyze the text. The key terms may include a first key term that identifies subject matter of the proposed transaction and other key terms that are part of the offer. The device determines term scores that correspond to likelihoods of the other key terms being favorable to the recipient by using a data model to analyze the key terms and the preferences information. The device, based on the term scores, generates and provides another device with a recommendation to be used in determining whether the accept the offer.

Abstract: An electric driven hydraulic fracking system is disclosed. A pump configuration includes the single VFD, the single shaft electric motor, and the single hydraulic pump mounted on the single pump trailer. A controller associated with the single VFD and is mounted on the single pump trailer. The controller monitors operation parameters associated with an operation of the electric driven hydraulic fracking system as each component of the electric driven hydraulic fracking system operates to determine whether the operation parameters deviate beyond a corresponding operation parameter threshold. Each of the operation parameters provides an indicator as to an operation status of a corresponding component of the electric driven hydraulic fracking system. The controller initiates corrected actions when each operation parameter deviates beyond the corresponding operation threshold.

Abstract: A capsule for an aerosol-generating device may include a first heater, a second heater, and a frame sandwiched between the first heater and the second heater. The frame may define open spaces therein and have a rigidity that is adequate to support the first heater and the second heater. The open spaces within the frame may be interconnected and sized for aerosol-permeability and capillary action. A nicotine-containing material, such as tobacco, may be disposed within the capsule.

Abstract: A testing platform receives a code for testing, where the code is to be tested using a browser. The testing platform determines a number of a plurality of browsers that are to be used to test the code and generates a number of a plurality of virtual machines to host the plurality of browsers, where the number of the plurality of virtual machines is based on the number of the plurality of browsers. The testing platform assigns an automation script to each virtual machine of the virtual machines to test the code, and monitors execution of the automation script by each virtual machine of the plurality of virtual machines. The testing platform performs an action associated with the execution of the automation script by each virtual machine of the plurality of virtual machines.

Abstract: An optical component assembly method including shrinking a first end of a heat shrink tube about a first optical component, inserting a loading portion of a loading tube into a second end of the heat shrink tube, radially-inserting a plurality of optical components into a staging portion of the loading tube thereby forming a line of optical components, the staging portion being seamlessly coupled to and integrally-formed with the loading portion, moving the line of optical components from the staging portion into the loading portion, and removing the loading portion from between the line of optical components and the heat shrink tube thereby depositing the line of optical components in the heat shrink tube. The line of optical components is fixed and optically aligned within the heat shrink tube by applying radial pressure, axial pressure and heat to the line of optical components simultaneously.

Abstract: This invention provides a combination vaccine which includes a porcine circovirus type 2 (PCV2) antigen and a cell free Mycoplasma hyopneumoniae (M. hyo) culture supernatant for protecting a pig against PCV2 and M. hyo infections, wherein the M. hyo culture supernatant is substantially free of PCV2 antibodies.

Abstract: A method and system is provided for pre-processing of an electroencephalography (EEG) signal for cognitive load measurement. The present application provides a method and system for pre-processing of electroencephalography signal for cognitive load measurement of a user, comprises of capturing the electroencephalography signal from the head of the user, detecting the plurality of system artifacts in the captured electroencephalography signal, detecting and removing noisy window from the captured electroencephalography signal, detecting an eye blink region and filtering out said detected eye blink region from the captured electroencephalography signal, utilizing the filtered electroencephalography signal for measuring the cognitive load of the user and subsequently computing different levels of mental workloads on the user using variation of spatial distribution of frontal scalp EEG electrodes for measured cognitive load.

Abstract: Systems, methods, and apparatuses of the present disclosure generally relate to dissolvable plugs for separating fluids in a wellbore. A dissolvable plug includes a first end comprising a first fluid barrier. The first fluid barrier includes a polymer film. The dissolvable plug also includes a second end opposite to the first end. The second end comprises a second fluid barrier. The second fluid barrier comprises a polymer film. The dissolvable plug includes a solid structure made of a sand and salt mixture.

Abstract: Disclosed are examples related to building a customized data collection widget. Building of the customized data collection widget includes receiving a selection of several universal modules for inclusion in the widget. Each universal module of the selected several universal modules may include programming code that causes rendering of user-fillable data fields on a display, and a summary page including data requirements of the respective universal module. Based on the data requirements in a summary page of each respective universal module of the selected several universal modules, the selected several universal modules retrieved from a module repository may be combined in a customized data collection container stored in a composite repository. The selected customized data collection container may be combined with selected other data collection containers to form a uniquely identifiable, customized data collection widget. The customized data collection widget may be delivered to the composite repository.

Abstract: Automated software testing have become very crucial in this digital stage. It consumes a lot of manual effort and time of a tester. This disclosure relates generally to a method and system for automated generation of test scenarios and automation scripts. The system is configured to record details of the application at micro level (page level), index based on the page navigation. The system is further configured to create a mind map or a tree using a traverse algorithm. This creates the necessary test scenarios based on flows or page navigation. At the same time, the system captures all the underlying screen properties and labels. Connect the field type to the action library (built in). Also ensure dataset is created while capturing the recording. Further utilizing the test scenarios, data set and the screen properties to generate the automation script automatically.

Abstract: Methods, systems, and devices are disclosed for resolving a risk associated with a shipped physical object. The methods and servers comprise associating a time with a geographical region. The methods and servers also comprise receiving a set of locations associated with transport of a physical object. In addition, the methods and servers comprise determining that the set of locations fails to satisfy a condition associated with the time and the geographical region. The sensor devices report location data to a server at a first time interval, wherein the location data fails to satisfy a condition associated with a time and a geographical region. The sensor devices also receive an indication of a panic mode. In addition, the sensor devices also report location data to the server at a second time interval, wherein the second time interval is different than the first time interval.

Abstract: An affinity matured anti-CD22 human monoclonal antibody exhibiting significantly higher affinity (less than 50 pM) compared to the parental antibody (affinity of about 2 nM) is described. The anti-CD22 variant antibody or a fragment thereof, such as a single-chain variable fragment (scFv), can be used as the antigen-binding portion of chimeric antigen receptors (CARs), antibody-drug conjugates (ADCs), immunotoxins or multi-specific antibodies for the treatment of B-cell malignancies.

Abstract: Systems and methods for instant issuing of a transaction card, controlling issuing of the instant transaction card, and customization of the transaction card. A system includes at least one processor and a storage medium storing instructions that, when executed by the one or more processors, cause the at least one processor to perform operations including receiving a request to issue a card and directing the customer to insert an identification card. Proceeding with capturing identification and biometric data identifying the customer and verifying the captured identification and biometric data. The operations also include determining whether a combination of the available customer data and the received biometric data is sufficient to verify customer identity. When the combination data are sufficient to verify customer identity, the operations further include issuing a transaction card. The operations further include capturing an image of the customer and issuing a customized transaction card to the customer.

Abstract: This disclosure may generally relate to operations performed in a wellbore. More particularly, systems and methods may be provided for measuring the position of a tool and/or tubular string downhole. The present disclosure may be able to determine an accurate position change in a downhole tool without requiring surface equipment manipulation during measurement acquisition. A position measurement system may comprise a position measurement tool, wherein the position measurement tool comprises a sensor module and a telemetry module; and a marker, wherein the marker emits a signal measured by the sensor module.

Abstract: This disclosure relates generally to method and system for an adaptive filter based learning model for time series sensor signal classification on edge devices. The adaptive filter based learning model for time series sensor signal classification enables automated-computationally lightweight learning (significant reduction in computational resources) and inferring/classification in real-time or near-real-time on CPU/memory/battery life constrained edge devices. The disclosed techniques for time series sensor signal classification on edge devices characterizes the intrinsic signal processing properties of the input time series sensor signals using linear adaptive filtering and derivative spectrum to efficiently construct the adaptive filter based learning model based on standard classification algorithms for time series sensor signal classification.