Abstract: The present disclosure provides for multi-specific antibodies and antigen-binding fragments thereof that bind to human MUC1 and CD16A, pharmaceutical compositions comprising said antibodies, and use of the antibodies or the compositions for treating a disease, such as cancer.

Abstract: A high-performance sintered neodymium-iron-boron magnet and a preparation method therefor are provided. The magnet is prepared by means of diffusion heat treatment, using R1mFenBpM2w as a substrate and the alloy RHxM1yBz as a diffusion source. A detachable material reaction bucket is employed for diffusion. The diffusion source can be reused to reduce the production cost of the sintered neodymium-iron-boron magnet and can be applied to a magnet of a large size, and can in particular ensure mass production of a cost-effective sintered neodymium-iron-boron product with a thickness of 8-30 mm in an orientation direction.

Abstract: An iron-carbon composite material, a preparation method therefor, and an application thereof related to microbial technology applications. The method includes the following steps: a cross-linking and curing step: carrying out cross-linking and curing to iron powder and biological activated carbon by using an alkaline earth metal salt and a cross-linking agent; and a mineralization treatment step: soaking the cross-linked and cured iron-carbon composite material in a mineralization bacteria solution for 5-15 min, and carrying out drying to obtain an iron-carbon composite material.

Abstract: The present invention discloses an assembled bamboo sleeper, which is obtained by using a bamboo unit as a raw material, dried and modified at the temperature of 110-180° C., undergone coating treatment using a dopamine solution, adhesive dipping, curing and solidifying, assembling and gluing, further solidifying, further treatment using a dopamine solution, and anti-mildew and/or anti-corrosion and/or anti-insect treatment, and then fastened. The present invention further provides a preparation method for the foregoing bamboo sleeper. The bamboo sleeper prepared in the present invention is green and environmentally friendly, and applicable for ballasted tracks of railways and urban rail transit systems.

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: 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: 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: 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: 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. 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: 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.