Abstract: A strain wave gearing device includes a circular spline having a plurality of internal teeth; a flex spline having a plurality of external teeth, the flex spline is disposed coaxially with respect to the circular spline to allow one or more of the plurality of external teeth to engage with one or more of the plurality of internal teeth, wherein the flex spline is defined using Bezier curve defining a plurality of structural parameters associated with the flex spline; and a wave generator having an elliptical cam and a flexible bearing mounted on the elliptical cam, the wave generator is disposed coaxially with respect to the flex spline to allow the flexible bearing to have two-point contact with the flex spline.

Abstract: A method for predicting outcome of a process used for manufacturing a sample in a bioreactor, the process belonging to a category. The method comprises selecting a process model based on the category; accessing historic data related to past process runs for manufacturing the sample; accessing current data obtained from a current process run of the process. The obtained current data, which is based on the selected process model, comprises: process strategy data, bioreactor instrument data, data from online sensors and/or data from offline sensors. The method further comprises predicting an outcome of at least one selected parameter of the current process run for manufacturing the sample based on the accessed historic data and current data.

Abstract: Compositions comprising donor cells, acceptor cells, and methods involving the same are described herein. In some embodiments, the donor cell is deficient in at least one endogenous function, for instance cytotoxic activity. In some embodiments, the donor cell comprises a T cell receptor (TCR) and a cargo, and the acceptor cell comprises an MHC. In some embodiments, the TCR facilitates transfer of the cargo to the acceptor cell. In some embodiments, the donor cell comprises a chimeric antigen receptor (CAR) and a cargo, and the acceptor cell comprises an antigen bound by the CAR. In some embodiments, the CAR facilitates transfer of the cargo to the acceptor cell.

Abstract: Proxy-based scaling may be performed for databases. A proxy may be implemented for a database that can establish a connection between the proxy and a database engine to perform a database queries received from a client at the proxy. A scaling event may be detected for the database responsive to which the proxy may establish a connection with a new database engine which may, in some embodiments, have different capabilities or resources that address the features or criteria that triggered the scaling event. Session state may be copied from the database engine to the new database engine so that the new database engine may be able to provide access to the database on behalf of requests received from the client through the proxy.

Abstract: An apparatus is configured to process user credentials received by way of a graphical user interface output by a display, retrieve a user profile associated with the user credentials from a database, and access a central repository to retrieve stored data based on the user profile. The apparatus is also configured to cause a list of the stored data corresponding to the user profile to be displayed. The stored data is displayed according to a plurality of sortable parameters indicative of the stored data included in the list. The apparatus is further configured to process a user input received by way of the graphical user interface to add new data to the central repository, cause a configuration profile user interface to be output by the display, and cause the new data to be added to the central repository and sorted according to a generated configuration profile.

Abstract: The present invention relates to a method for predicting outcome of a process used for manufacturing a sample in a bioreactor, the process belonging to a category. The method comprises selecting (51) a process model based on the category; accessing (53) historic data related to past process runs for manufacturing the sample; accessing (53) current data obtained (54) from a current process run of the process. The obtained current data, which is based on the selected process model, comprises: process strategy data, bioreactor instrument data, data from online sensors and/or data from offline sensors. The method further comprises predicting (62) an outcome of at least one selected parameter of the current process run for manufacturing the sample based on the accessed historic data and current data. The present invention also relates to a method for modelling a process and a control system (10) for controlling a process.

Abstract: A method includes processing parameter selection inputs corresponding to a threshold correlation rule associated with monitoring a communication network. The method also includes processing node selection inputs. The method further includes causing a list of key performance indicators (KPIs) associated with monitoring the communication network to be populated based on the parameter selection inputs and the node selection inputs. The method also includes processing threshold comparison inputs and breach consistency condition inputs to generate the threshold correlation rule. The method further includes comparing KPI values to a threshold comparison target and causing an alert to be generated indicating that an operating state of the communication network is outside a preset performance level.

Abstract: An apparatus configured to process raw data received from a network service provider monitoring system to determine one or more pieces of information included in the raw data are relevant to performance monitoring of a communication network based on a matching with one or more recognized data categories for classifying pieces of information that are relevant to performance monitoring of the communication network, and to determine whether any pieces of the information included in the raw data are irrelevant to performance monitoring based on a failure to match any of the recognized data categories. The apparatus is also configured to extract the one or more pieces of information included in the raw data determined to be relevant to performance monitoring of the communication network from the raw data, and store the one or more pieces of information relevant to performance monitoring of the communication network in a central data repository.

Abstract: Provided herein are novel compounds comprising a GLP-1 compound and a fatty acid or fatty acid derivative, the manufacture of said novel compounds and the use thereof.

Abstract: In some aspects, the techniques described herein relate to a method including: storing, in an application management database, an audit group, wherein the audit group identifies one or more computer applications; querying the application management database, wherein the querying returns a plurality of access control descriptions from the application management database; processing keywords from the plurality of access control descriptions with a machine learning (ML) model to determine a plurality of duty groups; associating access control permissions with the plurality of duty groups based on the keywords; and determining toxic combinations of the access control permissions based on database relationships between the plurality of duty groups, the audit group, and a user identifier.

Abstract: An auto-commissioning server may be used in the auto-commissioning of virtualized Radio Access Networks (vRANs) by receiving a plurality of parameters from a site controller of a cell site, an inventory, and a plurality of network entities; automatically generating a day zero configuration based on the received plurality of parameters; deploying the network function(s) of the vRANs into a cloud server based on the automatically generated day zero configuration; receiving a power-on notification message from a RU of the cell site, wherein the power-on notification message may indicate the RU of the cell site is ready for radio signal transmission; and activating the deployed network function(s) of the vRANs before transmitting a radio signal from the RU of the cell site.

Abstract: Accordingly, embodiments herein disclose a method for configuring at least one Network Configuration Protocol (NETCONF) server by a NETCONF controller (102). The method includes establishing direct communication between a Network Element(s) (NEs) (500) (e.g., NETCONF server) and an Operational Support System (OSS) device (1000) using a NETCONF protocol to configure the NEs (500) without communicating with an Element Management System (EMS) server. As a result, a process associated with the NEs (500), such as configure/reconfigure/retrieve information, becomes faster and does not require a response from a third entity (e.g., the EMS server, vendor dependent entity, etc.).

Abstract: A method includes processing parameter selection inputs corresponding to a threshold correlation rule associated with monitoring a communication network. The method also includes processing node selection inputs. The method further includes causing a list of key performance indicators (KPIs) associated with monitoring the communication network to be populated based on the parameter selection inputs and the node selection inputs. The method also includes processing threshold comparison inputs and breach consistency condition inputs to generate a provisional threshold correlation rule. The method further includes processing the provisional threshold correlation rule to determine whether a previously created threshold correlation rule corresponding to a KPI exists.

Abstract: Systems and methods of obtaining data from a cellular network are disclosed. In some embodiments, visual query options are presented in a graphical user interface (GUI), wherein the visual query options define a query. Query option selections of the visual query options are received. A query template is generated in accordance with the query option selections. An audit of parameters is performed related with network elements of the cellular network in accordance with the query template. A report of the audit is transmitted to a user device. A visual representation of the report is presented in the GUI.

Abstract: A method includes processing one or more parameter selection inputs from a graphical user interface. The graphical user interface includes a plurality of parameter input fields. Each parameter input field receives a parameter selection corresponding to a detail for identifying one or more key performance indicators (KPIs) associated with monitoring a communication network. The method includes causing a list of KPIs in the graphical user interface to be narrowed based on the processing of the one or more user inputs received by one or more of the plurality of parameter input fields. The method includes processing a selection to view one or more KPIs included in the list of KPIs. The method includes processing one or more hierarchy selection inputs received by way of the graphical user interface to cause a KPI value for each of the one or more selected KPIs to be generated and output to a display.

Abstract: A generative adversarial network and a reinforcement learning system are combined to generate phishing emails with adaptive complexity. A plurality of phishing emails are obtained from a trained generative adversarial neural network, including a generator neural network and a discriminator neural network. A subset of phishing emails is selected, from the plurality of phishing emails, using a reinforcement learning system trained on user-specific behavior. One or more of the subset of phishing emails are sent to a user email account associated with a particular user. The reinforcement learning system is then adjusted based on user action feedback to the one or more of the subset of phishing emails.

Abstract: A method includes processing a selection to add one or more key performance indicators (KPIs) associated with monitoring a communication network to a KPI monitoring watchlist. The method also includes retrieving a KPI value for each of the one or more KPIs added to the KPI monitoring watchlist from a central data repository. The method further comprises causing the KPI monitoring watchlist to be output to a display such that the KPI value for each of the one or more KPIs added to the KPI monitoring watchlist is arranged in a table having columns and rows, and causing the KPI value(s) to be highlighted in the KPI monitoring watchlist by one of a first color or a second color corresponding to a relationship between the KPI value for each of the one or more KPIs added to the KPI monitoring watchlist and a corresponding preset threshold.

Abstract: A method includes processing parameter selection inputs corresponding to a threshold correlation rule associated with monitoring a communication network. The method also includes processing node selection inputs. The method further includes causing a list of key performance indicators (KPIs) associated with monitoring the communication network to be populated based on the parameter selection inputs and the node selection inputs. The method also includes processing threshold comparison inputs and breach consistency condition inputs to generate the threshold correlation rule. The method further includes comparing KPI values to a threshold comparison target and causing an alert to be generated indicating that an operating state of the communication network is outside a preset performance level.

Abstract: A method includes processing one or more parameter selection inputs received by way of a graphical user interface including a plurality of parameter input fields. Each parameter input field is configured to receive a parameter selection corresponding to a detail for generating a performance report. The method also includes processing one or more node selection inputs received by way of the graphical user interface. The method further includes causing a list of one or more key performance indicators (KPIs) associated with monitoring a communication network to be populated based on the parameter selection input(s) and the node selection input(s). The method additionally includes causing one or more of the KPIs to be selected for inclusion in the performance report, processing a time range and/or a frequency for generating the performance report, and causing the performance report to be generated based on the time range and/or the frequency.

Abstract: An apparatus is configured to process user credentials received by way of a graphical user interface output by a display, retrieve a user profile associated with the user credentials from a database, and access a central data repository to retrieve stored data based on the user profile. The apparatus is also configured to cause a list of the stored data corresponding to the user profile to be displayed. The stored data is displayed according to a plurality of sortable parameters indicative of the stored data included in the list. The apparatus is further configured to process a user input received by way of the graphical user interface to add new data to the central repository, cause a configuration profile user interface to be output by the display, and cause the new data to be added to the central repository and sorted according to a generated configuration profile.