Abstract: The invention discloses a bamboo chip integrated material. The bamboo chip integrated material is formed by a plurality of lengthened bamboo chips which are glued and overlaid; each lengthened bamboo chip is formed by a plurality of bamboo chip units which sequentially and continuously mesh and are butted; sharp teeth and grooves are formed in the two ends in the length direction of the bamboo chip units, wherein the sharp tooth of each bamboo chip unit and the groove of the corresponding bamboo sheet unit are matched to form a meshing butt-joint part, and the meshing butt-joint parts of the adjacent lengthened bamboo chips are arranged in a staggered mode; and each bamboo chip unit has a thickness of 4-12 mm and a width of 15-50 mm.

Abstract: A method of manufacturing a carrying substrate is provided. At least one circuit component is disposed on a first circuit structure. An encapsulation layer is formed on the first circuit structure and encapsulates the circuit component. A second circuit structure is formed on the encapsulation layer and electrically connected to the circuit component. The circuit component is embedded in the encapsulation layer via an existing packaging process. Therefore, the routing area is increased, and a package substrate requiring a large size has a high yield and low manufacturing cost.

Abstract: A method of manufacturing a carrying substrate is provided. At least one circuit component is disposed on a first circuit structure. An encapsulation layer is formed on the first circuit structure and encapsulates the circuit component. A second circuit structure is formed on the encapsulation layer and electrically connected to the circuit component. The circuit component is embedded in the encapsulation layer via an existing packaging process. Therefore, the routing area is increased, and a package substrate requiring a large size has a high yield and low manufacturing cost.

Abstract: The present invention provides a method for separating out a defect image from a thermogram sequence based on weighted naive Bayesian classifier and dynamic multi-objective optimization, we find that different kinds of TTRs have big differences in some physical quantities. The present invention extracts these features (physical quantities) and classifies the selected TTRs into K categories based on their feature vectors through a weighted naive Bayesian classifier, which deeply digs the physical meanings contained in each TTR, makes the classification of TTRs more rational, and improves the accuracy of defect image's separation. Meanwhile, the multi-objective function does not only fully consider the similarities between the RTTR and other TTRs in the same category, but also considers the dissimilarities between the RTTR and the TTRs in other categories, thus the RTTR selected is more representative, which guarantees the accuracy of describing the defect outline.

Abstract: A system for resolving a resource deadlock between processes. A shared data structure is maintained that includes process records of the processes. Process states and process priorities are defined for each of the processes. A respective state of the process is determined for each process based on the process states and process priorities of the process records maintained in the shared data structure. The respective state is used to allocate and deallocate resources to the process to mitigate and resolve the resource deadlock between the processes.

Abstract: A computer-implemented method according to one embodiment includes identifying a request to create a consumer within a converged system, defining the consumer within a hierarchy of consumers, where the consumer represents a function in an organization, setting a storage capacity attribute for the consumer, and conditionally defining a data volume for the consumer, based at least in part on the storage capacity attribute.

Abstract: The present invention provides a method for separating out a defect image from a thermogram sequence based on feature extraction and multi-objective optimization, we find that different kinds of TTRs have big differences in some physical quantities, such as the energy, temperature change rate during endothermic process, temperature change rate during endothermic process, average temperature, maximum temperature. The present invention extract these features (physical quantities) and cluster the selected TTRs into L clusters based on their feature vectors, which deeply digs the physical meanings contained in each TTR, makes the clustering more rational, and improves the accuracy of defect separation. Meanwhile, the present invention creates a multi-objective function to select a RTTR for each cluster based on multi-objective optimization.

Abstract: A method of manufacturing a carrying substrate is provided. At least one circuit component is disposed on a first circuit structure. An encapsulation layer is formed on the first circuit structure and encapsulates the circuit component. A second circuit structure is formed on the encapsulation layer and electrically connected to the circuit component. The circuit component is embedded in the encapsulation layer via an existing packaging process. Therefore, the routing area is increased, and a package substrate requiring a large size has a high yield and low manufacturing cost.

Abstract: A system for resolving a resource deadlock between processes. A shared data structure is maintained that includes process records of the processes. Process states and process priorities are defined for each of the processes. A respective state of the process is determined for each process based on the process states and process priorities of the process records maintained in the shared data structure. The respective state is used to allocate and deallocate resources to the process to mitigate and resolve the resource deadlock between the processes.

Abstract: A computer-implemented method according to one embodiment includes identifying a request to create a consumer within a converged system. Additionally, the method includes defining the consumer within a hierarchy of consumers, where the consumer represents a function in an organization. Further, the method includes associating the consumer with a plurality of storage resources and a plurality of computing resources. Further still, the method includes setting a storage capacity attribute for the consumer.

Abstract: The present invention provides a method for separating out a defect image from a thermogram sequence based on feature extraction and multi-objective optimization, we find that different kinds of TTRs have big differences in some physical quantities, such as the energy, temperature change rate during endothermic process, temperature change rate during endothermic process, average temperature, maximum temperature. The present invention extract these features (physical quantities) and cluster the selected TTRs into L clusters based on their feature vectors, which deeply digs the physical meanings contained in each TTR, makes the clustering more rational, and improves the accuracy of defect separation. Meanwhile, the present invention creates a multi-objective function to select a RTTR for each cluster based on multi-objective optimization.

Abstract: A method for separating out a defect image from a thermogram sequence based on weighted naive Bayesian classifier and dynamic multi-objective optimization. A method extracts these features and classifies the selected TTRs into K categories based on their feature vectors through a weighted naive Bayesian classifier, which deeply digs the physical meanings contained in each TTR, makes the classification of TTRs more rational, and improves the accuracy of defect image's separation. Meanwhile, the multi-objective function does not only fully consider the similarities between the RTTR and other TTRs in the same category, but also considers the dissimilarities between the RTTR and the TTRs in other categories, thus the RTTR selected is more representative, which guarantees the accuracy of describing the defect outline.

Abstract: Embodiments of the present invention relate to CPU resource management in a computer cluster. A master node selects a CPU core of at least one compute node for an application from a computer cluster, and allocates a portion of resource of the CPU core to the application. The master node re-allocates a new portion of the resource of the CPU core to the application, in response to a trigger event for re-allocation.

Abstract: A computer-implemented method according to one embodiment includes identifying a request to create a consumer within a converged system, defining the consumer within a hierarchy of consumers, where the consumer represents a function in an organization, setting a storage capacity attribute for the consumer, and conditionally defining a data volume for the consumer, based at least in part on the storage capacity attribute.

Abstract: A computer-implemented method according to one embodiment includes identifying a request to create a consumer within a converged system. Additionally, the method includes defining the consumer within a hierarchy of consumers, where the consumer represents a function in an organization. Further, the method includes associating the consumer with a plurality of storage resources and a plurality of computing resources. Further still, the method includes setting a storage capacity attribute for the consumer.

Abstract: Disclosed are a phthalic hydrazide (phthalazine ketone) compound, and a pharmaceutical composition comprising the same. As a DNA repair enzyme poly (ADP-ribozyme) polymerase inhibitor, the compound and the pharmaceutical composition can effectively treat diseases involving PARP enzymatic activity, including cancer, neural degenerative diseases, inflammation and the like.

Abstract: A system for managing a distributed service may include one or more compute nodes, with each compute node having one or more computer processors and a memory. The system may additionally include: a set of software services, the set of software services including the distributed service; a configuration manager to store configuration information about the distributed service, including a criteria for transitioning the distributed service from a first execution state to an initialization state, the criteria associating the execution first state with a second execution state of a first service of the set of software services; a set of measuring agents to obtain execution information from the set of software services; an execution system configured to: determine, based on the execution information, whether the criteria is satisfied; and transition, in response to determining that the criteria is satisfied, the distributed service from the first execution state to the initialization state.

Abstract: Embodiments of the present invention relate to CPU resource management in a computer cluster. A master node selects a CPU core of at least one compute node for an application from a computer cluster, and allocates a portion of resource of the CPU core to the application. The master node re-allocates a new portion of the resource of the CPU core to the application, in response to a trigger event for re-allocation.

Abstract: Disclosed are a phthalic hydrazide (phthalazine ketone) compound, and a pharmaceutical composition comprising the same. As a DNA repair enzyme poly (ADP-ribozyme) polymerase inhibitor, the compound and the pharmaceutical composition can effectively treat diseases involving PARP enzymatic activity, including cancer, neural degenerative diseases, inflammation and the like.

Abstract: A method for producing clear, concentrated sweet potato juice, including: a) cleaning, peeling, crushing, and gelatinizing a raw material of sweet potatoes to yield a sweet potato paste, and squeezing the sweet potato paste to obtain skin dregs and a squeezed clear juice; b) performing enzymolysis to part of the skin dregs and adding the hydrolyzed skin dregs to the sweet potato paste for squeezing; c) performing enzymolysis and filtering to the squeezed clear juice to obtain a sweet potato clear juice; d) combining the rest part of the skin dregs and sweet potato skins generated during the peeling process to obtain a sweet potato residue; e) extracting dietary fiber from the sweet potato residue; and f) adding the dietary fiber to the sweet potato clear juice and post-treating the sweet potato clear juice.