Abstract: Users of an endpoint remediation system can be assigned to different roles, from which they can request exceptions, approve exceptions, and/or enable remediation on endpoint devices. The compliance scanning and enforcing process can be automated, while allowing entities to request and/or approve certain exceptions. Therefore, security compliance for customers can be actively managed to provide visibility to the endpoint device compliance state at any time.

Abstract: A machine learning assessment system is provided. The system identifies multiple datasets and multiple machine learning (ML) modeling algorithms based on the client profile. The system assesses a cost of data collection for each dataset of the multiple datasets. The system assesses a performance metric for each ML modeling algorithm of the multiple modeling algorithms. The system recommends a dataset from the multiple datasets and an ML modeling algorithm from the multiple ML modeling algorithm based on the assessed costs of data collection for the multiple datasets and the assessed performance metrics for the multiple ML modeling algorithms.

Abstract: The present disclosure provides a control system of a buck converter, relating to the field of Internet of Things. The control system of a buck converter provided in an embodiment of the present disclosure includes a first control module, a second control module, and a mode selector. The first control module is turned on and the second control module is turned off through an analog current sensor in the mode selector when an IoT device switches from a transmission mode to a sleep mode or a standby mode, so that the first control module outputs a first voltage pulse to the driving and level shifter module, wherein a frequency of the first voltage pulse is determined by a frequency of a first clock in the first control module, and a width of the first voltage pulse is determined by a frequency of a second clock in the first control module.

Abstract: The present disclosure provides a control system of a buck converter, relating to the field of Internet of Things. The control system of a buck converter provided in an embodiment of the present disclosure includes a first control module, a second control module, and a mode selector. The first control module is turned on and the second control module is turned off through an analog current sensor in the mode selector when an IoT device switches from a transmission mode to a sleep mode or a standby mode, so that the first control module outputs a first voltage pulse to the driving and level shifter module, wherein a frequency of the first voltage pulse is determined by a frequency of a first clock in the first control module, and a width of the first voltage pulse is determined by a frequency of a second clock in the first control module.

Abstract: A content generation method includes receiving a control document comprising one or more control clauses, identifying actionable content for the one or more control clauses, generating a programming language template for the one or more control clauses, identifying a closest existing control clause from a database for each of the one or more control clause, identifying a programming language implementation of the closest existing control clause, identifying similarities and differences between the programming language implementation and the generated programming language template, and annotating the programming language implementation for the closest existing control clause based on the identified similarities and differences.

Abstract: A system, computer program product, and method to deriving a cost model and dynamic adjustment of the derived model responsive to dynamic modification of one or more of the resources in a hybrid shared resource environment. Resources and corresponding configuration information are collected while monitoring runtime utilization of resource performance. As changes to the resources are discovered, the changes are subject to an assessment. A hybrid cost model is derived and configured to account for the one or more resources. The derived hybrid cost model is leveraged to conduct a multi-dimensional resource evaluation of the assessed changed configuration information. Responsive to the multi-dimensional evaluation, a generated resource utilization optimization of the one or more resources is selectively implemented.

Abstract: Users of an endpoint remediation system can be assigned to different roles, from which they can request exceptions, approve exceptions, and/or enable remediation on endpoint devices. The compliance scanning and enforcing process can be automated, while allowing entities to request and/or approve certain exceptions. Therefore, security compliance for customers can be actively managed to provide visibility to the endpoint device compliance state at any time.

Abstract: Provided is a selective JAK kinase selective inhibitor and a preparation method and the use thereof. In particular, provided is a compound having the structure as shown in chemical formula (I) as a JAK kinase inhibitor or a stereoisomer or a tautomer thereof, or a pharmaceutically acceptable salt, a hydrate or a solvate thereof.

Abstract: A vulnerability management method includes analyzing a system environment to uncover one or more vulnerabilities. The method includes subsequently identifying one or more system weaknesses corresponding to the one or more uncovered vulnerabilities and analyzing a set of historical data to identify similar past vulnerabilities. The method further includes analyzing available information to extract one or more impacts of the identified similar past vulnerabilities and determining one or more impacts to the present system environment that would correspond to the extracted one or more impacts of the identified similar past vulnerabilities. The method additionally includes recommending one or more actions to remediate the uncovered vulnerabilities.

Abstract: A method for scheduling services in a computing environment includes receiving a service scheduling request corresponding to the computing environment and identifying a resource pool and a set of compliance requirements corresponding to the computing environment. The method continues by identifying target resources within the resource pool, wherein target resources are resources which meet the set of compliance requirements, and subsequently identifying a set of available target resources, wherein available target resources are target resources with scheduling availability. The method further includes analyzing the set of available target resources to determine a risk score for each available target resource and selecting one or more of the set of available target resources according to the determined risk scores. The method continues by scheduling a service corresponding to the service scheduling request on the selected one or more available target resources.

Abstract: A computer system, program code, and a method are provided to leverage an AI model with respect to a target specification for a target standard. The AI model is configured to identify at least one candidate control associated with a corresponding standard. A map is subject to traversal to identify the candidate control in the map. Source and destination controls of the map are leveraged to identify at least one mapped control associated with the target standard. The AI model is selectively subject to training with the mapped control and the target standard.

Abstract: Users of an endpoint remediation system can be assigned to different roles, from which they can request exceptions, approve exceptions, and/or enable remediation on endpoint devices. The compliance scanning and enforcing process can be automated, while allowing entities to request and/or approve certain exceptions. Therefore, security compliance for customers can be actively managed to provide visibility to the endpoint device compliance state at any time.

Abstract: The present application discloses a supported PtZn intermetallic alloy catalyst, a method for preparing the same and application thereof. The catalyst uses SiO2 as a support and Zn as a promoter, and a small amount of active component Pt is supported; the weight percentage of Pt is 0.025%-1%, and the weight percentage of Zn is 0.025%-1.7%, a co-impregnation method is adopted in preparation, the SiO2 support is impregnated in aqueous solution of chloroplatinic acid and zinc nitrate, and then drying and high-temperature reduction are performed to obtain a PtZn/SiO2 catalyst. The catalyst has the advantages of high activity, high stability, low price and low toxicity. The catalyst provided by the present application is applicable to preparation of alkene through short-chain alkane dehydrogenation, in particular to preparation of propylene through propane dehydrogenation in a hydrogen atmosphere.

Abstract: Methods, apparatus and systems for wireless sensing based on channel information are described. In one example, a described system comprises: a transmitter configured to transmit a wireless signal through a wireless multipath channel of a venue, wherein the wireless multipath channel is impacted by a motion of an object in the venue; a receiver configured to receive the wireless signal through the wireless multipath channel, wherein the received wireless signal differs from the transmitted wireless signal due to the wireless multipath channel and the motion of the object; and a processor. The processor is configured for: obtaining N1 time series of channel information (TSCI) of the wireless multipath channel based on the received wireless signal, computing N4 selected projections based on the N1 TSCI, and performing a sensing task associated with the motion of the object based on the N4 selected projections. N4 is a positive integer. N1=N2*N3. N2 is a quantity of transmit antennas on the transmitter.

Abstract: Methods, apparatus and systems for wireless sensing based on linkwise motion statistics (link-MS) are described.

Abstract: A system, computer program product, and method to deriving a cost model and dynamic adjustment of the derived model responsive to dynamic modification of one or more of the resources in a hybrid shared resource environment. Resources and corresponding configuration information are collected while monitoring runtime utilization of resource performance. As changes to the resources are discovered, the changes are subject to an assessment. A hybrid cost model is derived and configured to account for the one or more resources. The derived hybrid cost model is leveraged to conduct a multi-dimensional resource evaluation of the assessed changed configuration information. Responsive to the multi-dimensional evaluation, a generated resource utilization optimization of the one or more resources is selectively implemented.

Abstract: Systems, computer-implemented methods, and computer program products that facilitate vulnerability and attack technique association are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a map component that defines mappings between vulnerability data representing a vulnerability of a computing resource and attack data representing at least one attack technique. The computer executable components can further comprise an estimation component that analyzes the mappings to estimate a probability that the vulnerability will be exploited to attack the computing resource.

Abstract: Systems and techniques that facilitate automated health-check risk assessment of computing assets are provided. In various embodiments, a system can comprise a baseline component that can generate a baseline health-check risk score that corresponds to non-compliance of a computing asset with a stipulated control. In various aspects, the system can further comprise an adjustment component that can adjust the baseline health-check risk score based on a weakness factor of the stipulated control. In some cases, the weakness factor can be based on a magnitude by which a state of the computing asset deviates from the stipulated control. In various embodiments, the adjustment component can further adjust the baseline health-check risk score based on an environmental factor of the computing asset. In various cases, the environmental factor can be based on security mechanisms or security protocols associated with the computing asset.

Abstract: An artificial intelligence (AI) platform to support workflow version process control. One or more workflows corresponding to one or more workflow engines are monitored. A neural network is employed to capture a relationship associated with a detected change in the monitored workflows. The neural network is leveraged to identify and assess an impact of the detected change to one or more additional workflows. Responsive to the assessment, the impacted workflow engines are optimized. The optimization includes automatically mapping and encoding changes corresponding to the impacted workflow. The one or more workflows containing the encoded changes are then executed.

Abstract: Aspects of the present disclosure relate to converting between structured and tabular data formats. Data can be received in a tabular format. An array can be built for each of a plurality of objects within the data in the tabular format, each object corresponding to at least one identified header of the identified headers. A data row can be parsed using at least one of the built arrays and data within the data row can be added to the structured format in a specific location based characteristics indicated in the at least one array. Data can also be converted from the structured format into the tabular format using the built arrays.