Abstract: Provided are an analytical method of providing an information for diagnosis of a patient who exhibits a response to preoperative chemoradiotherapy in a rectal cancer patient, wherein the expression levels of nine genes, i.e., FGFR3, GNA11, H3F3A, IL12A, IL1R1, IL2RB, NKD1, SGK2, and SPRY2 genes, is analyzed in combination, in carcinoma tissues of a rectal cancer patient, the response (susceptibility) to preoperative chemoradiotherapy can be predicted with high accuracy, and therefore the combination of said genes can be usefully applied as a biomarker for selecting a rectal cancer patient who exhibits a response to preoperative chemoradiotherapy.

Abstract: The present disclosure relates to a computer implemented method for applying changes into tables of a target database system using a data synchronization system, the data synchronization system being configured to automatically use at least one configurable parameter for applying a requested change in the target database system. The method provides a trained machine learning model, the machine learning model being configured to adjust the at least one configurable parameter based on a workload level. The method determines a current workload level at the target database system and uses the machine learning model for adjusting the at least one configurable parameter according to the determined workload level.

Abstract: The present disclosure relates to a computer implemented method for applying changes into tables of a target database system using a data synchronization system, the data synchronization system being configured to automatically use at least one configurable parameter for applying a requested change in the target database system. The method provides a trained machine learning model, the machine learning model being configured to adjust the at least one configurable parameter based on a workload level. The method determines a current workload level at the target database system and uses the machine learning model for adjusting the at least one configurable parameter according to the determined workload level.

Abstract: A microservice platform may receive a request to configure a microservice for use by a microservices as a service (MaaS) client platform and may determine, based on a microservice type of the microservice, one or more parameters for the microservice. The microservice platform may process the request using a natural language processing machine learning model to determine one or more values for the one or more parameters. The microservice platform may configure, using a microservice template, a reusable microservice to satisfy the request to configure the microservice. The reusable microservice may be hosted by the microservice platform and may be configured based on the microservice type, the one or more parameters, and the one or more values. The microservice platform may communicate, using the reusable microservice, with one or more backend services to perform various actions associated with one or more application-specific microservices of the MaaS client platform.

Abstract: Oxidized disulfide oil (ODSO) compounds, derived from disulfide oil (DSO) compounds produced as by-products from the generalized mercaptan oxidation (MEROX) sulfur removal process, are effective as aromatic extraction solvents, thereby converting the low value or waste oil DSO products into a valuable commodity that has utility in improving the extraction of aromatics from hydrocarbons derived from fossil fuels.

Abstract: Oxidized disulfide oil (ODSO) compounds, derived from by-product disulfide oil (DSO) compounds produced as by-products from the generalized mercaptan oxidation (MEROX) in the practice of the process, are effective as aromatic extraction solvents. This use of ODSO compounds as an extraction solvent converts an otherwise DSO waste oil product into a valuable commodity that has utility in improving the extraction of aromatics from hydrocarbons derived from fossil fuels.

Abstract: Oxidized disulfide oil (ODSO) compounds, derived from by-product disulfide oil (DSO) compounds produced as by-products from the generalized mercaptan oxidation (MEROX) in the practice of the process, are effective as aromatic extraction solvents. This use of ODSO compounds as an extraction solvent converts an otherwise DSO waste oil product into a valuable commodity that has utility in improving the extraction of aromatics from hydrocarbons derived from fossil fuels.