Abstract: Embodiments of the disclosure describe a method for transferring profile information associated with a physical subscriber identity module (pSIM) of a first electronic device to an embedded SIM (eSIM) of a second electronic device. The method includes creating an enhanced feature short message delivery point (EF-SMDP) file directory in a memory associated with the pSIM. The method includes obtaining eSIM identity (EID) and international mobile equipment identity (IMEI) associated with the eSIM by utilizing a first connection. The method includes sending a first request directly to a subscription manager data preparation (SMDP) server. The method includes obtaining an authorization from the SMDP server for the first request, the first electronic device stores the profile information in a virtual Local Profile Assistant (LPA) module. The method includes transferring the profile information from the virtual LPA module to the eSIM over the first connection.

Abstract: Disclosed is a system and associated methods for generating an autonomous bot that replicates speech characteristics, visual expressions, and actions of a professional in order to further relationships established by the professional in meetings that the professional is unavailable for. The system monitors meetings involving the professional at different stages of a workflow, and classifies the workflow stage associated with each meeting. The system models content, speech characteristics, and visual expressions expressed by the professional at each workflow stage based on commonality that is detected in a different set of meetings classified to a corresponding workflow stage. The modeling is used to generate an autonomous bot as a surrogate for the professional in a meeting that the professional is unavailable for.

Abstract: First video data captured by a first camera from a set of cameras is received and caused to be stored in a first data stripe from a set of data stripes. Second video data captured by the first camera is received and caused to be stored in a second data stripe from the set of data stripes. An indication is received that the first video data has become inaccessible. Data associated with the first data stripe is received from a subset of cameras from the set of cameras that excludes the first camera. The first video data is generated based on the data received from the subset of cameras.

Abstract: Various aspects of the disclosure relate to automated conversion of time and/or date information from a first format to a second format and initiating computing functionality based on a successful conversion event. Mainframe computer hardware and software are provided for automatically converting differing time formats used across an enterprise computing network, automatically presenting times in multiple formats and/or translations of times across time zones for different regional computing systems of the enterprise computing network, and translating time formats based on an input and automatically pulling data records based on time zones of one or more of the involved computing systems and/or a location associated with the input source.

Abstract: Systems, computer program products, and methods are described herein for application anomaly detection using advanced computational AI machine learning modeling. In this way, performance metric data is extracted and the variances are derived by comparing the performance metrics of the application workload for the current time period against the same for a previous period. The AI model is trained at regular intervals by using the derived performance metrics data to identify only the candidate workloads which are degrading or underperforming at an early state, while avoiding reporting workloads that are not causing impact to performance stability of applications across an entity database network. The system monitors application workload across a relational database of an entity for degraded application performance and identifies changes in application workload performance and applies the anomaly detection artificial intelligence machine learning model.

Abstract: The present invention relates to the novel formulation for sustained or delayed release of rohitukine-rich Dysoxylum binectariferum extract/fraction and a process for preparing the same wherein the extract is wet-granulated using excipients i.e. biodegradable polymers and/or non-biodegradable polymers alone or in combination, and the said granules are either filled into a capsule or compressed into a tablet. The said formulation comprising a granulated extract/fraction of rohitukine-rich Dysoxylum binectariferum with polymers has resulted in a sustained release of the extract or fraction over a period of 16-24 hrs. The said formulations are useful in the treatment of inflammatory diseases.

Abstract: The present invention discloses a film comprising porous, amorphous polybenzimidazole (PBI) and at least one filler for use as a separator in a lithium ion battery and a process for preparation thereof.

Abstract: Systems, computer program products, and methods are described herein for determining application degradation using advanced computational models for data analysis and automated decision-making. The present disclosure is configured to receive one or more applications, wherein the one or more applications comprise one or more access paths; update the one or more access paths, wherein updating the one or more access paths comprises reconfiguring details associated with the access paths; create, in response to updating the one or more access paths, updated access paths; determine that the one or more updated access paths experience one or more application degradations; and implement one or more degradation solutions for the one or more application degradations to an artificial intelligence model.

Abstract: An example methodology includes, by a node of an active-passive high availability (HA) cluster, determining that a container on the node has failed with an error and, responsive to a determination that the error is a new error, creating an error object that represents the error, creating an error object that represents the error and initializing a value of an error_code_value attribute in the error object to an initial_value_to_error_code attribute that indicates an initial value to assign to the error_code_value. The method also includes, by the node, incrementing a failcount attribute that indicates a count of a number of container failures on the node, determining whether to restart or failover the container based on a comparison of the failcount attribute and a failure count threshold, and, responsive to a determination to restart the container, attempting a restart of the container on the node.

Abstract: A method of explicit lockstep for functional safety includes spawning, by a main thread, a first safe thread core and a second safe thread core. The method also includes initializing and mapping a first data register associated with the first safe thread core to each safe variable of a set of predetermined safe variables. The method further includes initializing and mapping a second data register associated with the second safe thread core to each safe variable of the set of predetermined safe variables. The method also includes comparing, by a hardware comparator, a first safe variable value in the first data register to a second safe variable value in the second register. The method further includes issuing an error completion to the first safe thread core and the second safe thread core when the hardware comparator detects a mismatch between the first data register and the second data register.

Abstract: A method of upgrading a software service from a first version to a second version, wherein the software service is supported by a file system on which a first archive is mounted, includes the steps of: causing execution of the software service to be stopped, and mounting a second archive onto the file system, wherein the second mounted archive includes a plurality of files for executing the second version of the software service; creating a set of pointers, each of the set of pointers pointing to a respective one of the plurality of files of the second mounted archive; and after creating the set of pointers, causing the second version of the software service to be executed, wherein executing the second version of the software service involves accessing code from the plurality of files of the second mounted archive using the set of pointers and executing the code.

Abstract: The invention relates to a method of generating a signal for adjusting a parameter of a process for ethylene oxide production comprising the steps: Acquiring process data of a reactor producing ethylene oxide by means of sensors, Determining a parametric coefficient from the acquired process data, and Calculating the selectivity and/or activity of the catalyst from the parametric coefficient.

Abstract: The invention relates to a method of generating a signal for adjusting a parameter of a process for ethylene oxide production comprising the steps: Acquiring (100) process data of the process for ethylene oxide production, Predicting (200) a future value for the parameter based on the process data, Comparing (300) the future value to a predefined reference and based on a result of said comparison Generating (400) the signal for adjusting the parameter.

Abstract: A method for controlling characteristics of light emitted from a surgical light includes remotely configuring a surgical light, using a remote computing system communicatively connected to the surgical light, by selecting which of a plurality of characteristics of light emitted from the surgical light are adjustable by operation of a handle assembly of the surgical light. The method includes adjusting, using the handle assembly, at least one characteristic of the plurality of characteristics of the light emitted from the surgical light according to the selection of which of the plurality of characteristics of light emitted from the surgical light are adjustable by operation of the handle assembly.

Abstract: The invention relates to a method of estimating a delay of a process data change with respect to a parameter change of a process of producing ethylene oxide in a reactor comprising the steps: Recording a history representing process data changes in connection with parameter changes of a real ethylene oxide reactor over time, Analyzing the history by means of an artificial neural network model regarding a delay of a first process data change with respect to a first parameter change and/or a delay of the first process data change with respect to a first and a second parameter change, Acquiring process data of a reactor producing ethylene oxide, Determining a future point in time based on the analysis and the acquired process data, when a change of a parameter of the running process will have a certain impact on the process property.

Abstract: A system to control operation of an HVAC unit for conditioning indoor air quality in a multi-zone area is disclosed, The system comprises a controller adapted to be operatively connected to an air handling unit (AHU) associated with the HVAC unit. The controller is configured to receive, from one or more sensors installed at a plurality of zones of an area of interest (AOI), a set of data packets pertaining to indoor air quality (IAQ) at each of the zones in real-time. Further, when the IAQ of any of the plurality of zones is detected to be above a first predefined level, the controller enables the AHU and the HVAC unit to circulate air from at least one of the remaining zones having the IAQ below the first predefined level to the zones having the IAQ above the first predefined level.

Abstract: An example methodology includes, by a node of an active-passive high availability (HA) cluster, determining that a container on the node has failed with an error and, responsive to a determination that the error is a new error, creating an error object that represents the error, creating an error object that represents the error and initializing a value of an error_code_value attribute in the error object to an initial_value_to_error_code attribute that indicates an initial value to assign to the error_code_value. The method also includes, by the node, incrementing a failcount attribute that indicates a count of a number of container failures on the node, determining whether to restart or failover the container based on a comparison of the failcount attribute and a failure count threshold, and, responsive to a determination to restart the container, attempting a restart of the container on the node.

Abstract: The present disclosure relates to recombinant algae, more particularly to recombinant blue green algae. The disclosure further relates to a method for production of recombinant spider silk protein from the said recombinant algae. The said recombinant algae provides for green technology for the production of spider silk protein. The production of spider silk protein in the said recombinant algae is simple and economical.

Abstract: Methods, systems, and computer-readable media for debugging and profiling of machine learning model training are disclosed. A machine learning analysis system receives data associated with training of a machine learning model. The data was collected by a machine learning training cluster. The machine learning analysis system performs analysis of the data associated with the training of the machine learning model. The machine learning analysis system detects one or more conditions associated with the training of the machine learning model based at least in part on the analysis. The machine learning analysis system generates one or more alarms describing the one or more conditions associated with the training of the machine learning model.

Abstract: The present invention is related to the novel solid dispersion formulations of an anticancer compound of formula A and a process for preparing the same wherein the anticancer compound is formulated with hydrophilic polymer. The said formulation showed enhanced dissolution of the anticancer compound and improved in-vivo anticancer activity. The said formulations are useful for the treatment of various types of cancer.