Abstract: A system and method are disclosed for aggregating product trends. Embodiments include receiving an initial set of images from one or more data feeds by a trend aggregation system comprising a server, identifying one or more attribute values from the initial set of images, and quantifying a social affinity score of one or more items of an inventory of a supply chain entity based on recentness, relevance, and similarities of the identified one or more attribute values to an attribute value of a potential product for a product assortment. Embodiments may further include receiving an image of at least one additional item, identifying a product attribute from the image, and assigning an attribute value to the at least one additional item based, at least in part, on the identified attribute value from the image of the least one additional item and the attribute values of the at least two items.

Abstract: A precursor monitoring assembly for use in reactor systems to provide real-time and direct measurements of the availability of source materials from a source vessel. The assembly includes one or more force or load sensors, such as load cells, positioned between a bottom wall of an interior tray and an exterior wall (e.g., a base of a source vessel) and/or outside the source vessel. A signal conditioning element processes the output electrical signals from the sensors, then a controller processes the output signals from the signal conditioning components with a conversion factor, for example, to determine a current weight of source material stored in the source vessel. The controller uses this weight to calculate the amount of available source material or chemistry in the source vessel.

Abstract: A method comprises receiving an incident report comprising a textual description of an incident; generating a regularized incident report in which out-of-vocabulary terms in the received incident report are replaced with in-vocabulary terms; determining importance measures for a plurality of incident report terms, wherein each of the incident report terms is in the regularized incident report; generating an incident matrix in which similarity values are defined for combinations of terms in the incident report and terms in a predetermined term set; generating an incident vector based on the incident matrix and the importance measures for the terms in the incident report; applying one or more machine learning (ML) models that identify, based on the incident vector, relevant software support records and/or software modules, wherein the relevant software support records and the software modules are potentially relevant to the incident; and outputting data identifying relevant software support records and/or softw

Abstract: Various embodiments are directed to performing automated software testing configuration management operations. In one embodiment, a method is provided. The method includes generating a graph data structure including nodes representing test steps across test cases of a software testing data object for a software application platform and including segments each connecting two nodes and representing test cases having the two represented test steps. The method further includes receiving a query describing a testing change and generating extracted features from the query. The method further includes generating test outcome requirements and graph portions of the graph data structure relevant to the testing change using supervised machine learning models and the extracted features.

Abstract: Systems and methods include operating a label distribution protocol (LDP) session with a peer node in a network; responsive to a change in graceful restart of the LDP session, sending a notification message to the peer node with a graceful restart capability change indication; responsive to receiving a second notification message from the peer node with graceful restart capability change indication, updating the graceful restart capability for the LDP session; and, responsive to failing to receive the second notification message, leaving the graceful restart capability as it was prior to the change.

Abstract: A precursor vessel cooling assembly, a reactor system including the assembly, and methods of using the assembly and system are disclosed. The precursor vessel cooling assembly includes a thermoelectric cooling device and a fluid-cooled plate to maintain a desired temperature of a precursor vessel or other portion of the precursor vessel cooling assembly.

Abstract: A reactor system for use in semiconductor processing that makes use of a liquid source for deposition that needs to be maintained within a specific temperature control band or range. The reactor system includes a temperature control system that includes a heating and cooling apparatus for providing both heating and cooling of a vessel that stores the liquid source to maintain the liquid source within a desired temperature control band or range. In this manner, the heating and cooling apparatus may be used in a reactor system in which the vessel needs to be cooled, needs to be heated, or uses concurrent or alternating heating and cooling to provide enhanced control of the source temperature within a particular temperature control band.

Abstract: Various embodiments are directed to performing automated software testing configuration management operations. In one embodiment, a method is provided. The method includes generating a graph data structure including nodes representing test steps across test cases of a software testing data object for a software application platform and including segments each connecting two nodes and representing test cases having the two represented test steps. The method further includes receiving a query describing a testing change and generating extracted features from the query. The method further includes generating test outcome requirements and graph portions of the graph data structure relevant to the testing change using supervised machine learning models and the extracted features.

Abstract: Methods, apparatuses, systems, computing devices, computing entities, and/or the like are provided. An example method may include receiving a requirement request data object, generating at least one of a predicted complexity attribute or a predicted work track attribute corresponding to the requirement request data object, generating at least one predicted defect description attribute or at least one predicted test case description attribute corresponding to the requirement request data object, and transmitting a prediction data object that includes at least one of the predicted complexity attribute, the predicted work track attribute, the at least one predicted defect description attribute, or the at least one predicted test case description attribute. In some examples, the client device is configured to perform one or more software testing operations corresponding to the software testing task based at least in part on the prediction data object.

Abstract: A source vessel weight monitoring assembly for use in reactor systems to provide real-time and direct measurements of the availability of source or process materials from a source vessel. The assembly includes one or more force or load sensors, such as load cells, positioned between a bottom wall of the source vessel and a support element for the vessel (e.g., a base of a source vessel enclosure). The sensors are positioned to at least partially support the vessel, and a signal conditioning element processes the output electrical signals from the sensors, then a controller processes the output signals from the signal conditioning components with a conversion factor, for example, to determine a current weight of the source vessel and process material (e.g., solid, liquid, or gaseous precursor) stored therein. The controller uses this weight to calculate the amount of available process material or chemistry in the source vessel.

Abstract: Methods, apparatuses, systems, computing devices, computing entities, and/or the like are provided. An example method may include receiving a requirement request data object, generating at least one of a predicted complexity attribute or a predicted work track attribute corresponding to the requirement request data object, generating at least one predicted defect description attribute or at least one predicted test case description attribute corresponding to the requirement request data object, and transmitting a prediction data object that includes at least one of the predicted complexity attribute, the predicted work track attribute, the at least one predicted defect description attribute, or the at least one predicted test case description attribute. In some examples, the client device is configured to perform one or more software testing operations corresponding to the software testing task based at least in part on the prediction data object.

Abstract: A node includes a plurality of ports configured to provide a service over a primary Multi-Segment Pseudowire (MS-PW) and a backup MS-PW in a network; a switching fabric interconnecting the plurality of ports; and a controller communicatively coupled to the plurality of ports and the switching fabric, wherein the controller is configured to receive a pseudowire status message for each of the primary MS-PW and the backup MS-PW, determine a Signal Degrade condition on one of the primary MS-PW and the backup MS-PW based on the pseudowire status message, and cause a switch of the service to an inactive one of the primary MS-PW and the backup MS-PW based on a Signal Degrade condition on an active one of the primary MS-PW and the backup MS-PW. The controller can further provide a trap to a management system based on the determined Signal Degrade condition.

Abstract: A node includes a plurality of ports configured to provide a service over a primary Multi-Segment Pseudowire (MS-PW) and a backup MS-PW in a network; a switching fabric interconnecting the plurality of ports; and a controller communicatively coupled to the plurality of ports and the switching fabric, wherein the controller is configured to receive a pseudowire status message for each of the primary MS-PW and the backup MS-PW, determine a Signal Degrade condition on one of the primary MS-PW and the backup MS-PW based on the pseudowire status message, and cause a switch of the service to an inactive one of the primary MS-PW and the backup MS-PW based on a Signal Degrade condition on an active one of the primary MS-PW and the backup MS-PW. The controller can further provide a trap to a management system based on the determined Signal Degrade condition.

Abstract: Aspects of the present disclosure include methods, apparatuses, and computer readable media for controlling access including receiving registration information associating a mobile device with an access device, wherein the access device provides an access privilege to an access-controlled point, associating the mobile device with the access device, receiving a blocking request from the mobile device to suspend the access privilege to the access-controlled point provided by the access device, authenticating the blocking request, and suspending, in response to authenticating the blocking request, the access privilege to the access-controlled point provided by the access device.

Abstract: The present invention provides an oligonucleotide primer pair having SEQ ID NO: 3 and SEQ ID NO: 4 for amplification of Early Secretory Antigenic Target (esat)-6-gene of Mycobacterium species. The invention also provides a method for detecting M .tuberculosis in a sample based on the amplification of esat-6 gene, comprising isolating DNA template from the sample, amplifying with the above oligonucleotide primer pair and subjecting the amplified DNA product to separation and staining to detect the presence of amplified DNA product for identifying Mycobacterium tuberculosis in the sample. The invention further provides a diagnostic kit for detection of Mycobacterium tuberculosis.