Abstract: An in-situ reconstruction and extension structure of an embankment and a construction method thereof are provided. The structure includes a stepped slope excavated on an existing side slope. A gradient of the stepped slope is the same as that of an extension side slope, the stepped slope is individually intersected with top and bottom planes of existing side slope; a toe of existing side slope is taken as a toe of the extension side slope, and gradient of the extension side slope is determined according to positions of the toe and an expanded width. An outer side of stepped slope is filled with a geogrid reinforcement layer in a layered manner, a slope protection structure is arranged on an outer side of the geogrid reinforcement layer to form extension equivalent side slope; a drainage system is arranged at a bottom of the extension side slope.

Abstract: A testkey structure for semiconductor device includes a substrate, a gate structure disposed on the substrate, and a plurality of first dummy gate structures disposed on the substrate and arranged around the gate structure. A bottom surface of the gate structure is lower than bottom surfaces of the first dummy gate structures. A top surface of the gate structure is flush with top surfaces of the first dummy gate structures.

Abstract: A testkey structure for semiconductor device includes a substrate, a gate structure disposed on the substrate, and a plurality of first dummy gate structures disposed on the substrate and arranged around the gate structure. A bottom surface of the gate structure is lower than bottom surfaces of the first dummy gate structures. A top surface of the gate structure is flush with top surfaces of the first dummy gate structures.

Abstract: Disclosed embodiments provide a computer-implemented technique for creating a log chain from multiple software component logs. The log chain can include log information from multiple software components that interact with each other. In embodiments, a locality-sensitive hashing technique is used to create a signature of a log chain. Machine-learning systems are trained with log chains generated from test execution, and/or log chains from incidents with deployed software. In embodiments, logs are pre-processed by tokenizing and trimming. Logs from various components that interact with each other may be combined into a temporally sequential log chain. The signature of the log chain may be used to identify additional information about the error from a machine-learning process that was trained on previously generated log chains. In this way, the time required to identify a problem can be significantly reduced, resulting in increased reliability and availability of complex computer systems.

Abstract: A method to report a phantom object for a structure in a power-and-ground (PG) router is disclosed. The method includes generating the structure of a PG network based on a spec received as input, identifying a violation of a design rule for the structure, and changing the structure to remove the violation of the design rule. The method further includes generating a report of the violation and the changing, generating a phantom object based on the changing, and outputting the report and the phantom object.

Abstract: This application provides a data stream sending method, and the method includes: sending, by a first device, a request packet to a second device; sending, by the first device, a data stream to the second device after the first device sends the request packet and before the first device receives the response packet sent by the second device; and receiving, by the first device, the response packet that is sent by the second device and that is in response to the request packet.

Abstract: Disclosed embodiments provide a computer-implemented technique for creating a log chain from multiple software component logs. The log chain can include log information from multiple software components that interact with each other. In embodiments, a locality-sensitive hashing technique is used to create a signature of a log chain. Machine-learning systems are trained with log chains generated from test execution, and/or log chains from incidents with deployed software. In embodiments, logs are pre-processed by tokenizing and trimming. Logs from various components that interact with each other may be combined into a temporally sequential log chain. The signature of the log chain may be used to identify additional information about the error from a machine-learning process that was trained on previously generated log chains. In this way, the time required to identify a problem can be significantly reduced, resulting in increased reliability and availability of complex computer systems.

Abstract: A computerized system is disclosed. The computerized system may include one or more processors configured to perform the operations stored in a memory. The operations may include receiving a first circuit design pattern including a DRC violation and generating a first pattern matrix based on the first circuit design pattern, and updating the first circuit design pattern, based on the first pattern matrix, to fix the DRC violation. The operations may also include determining a possibility of a DRC violation-free first circuit design pattern corresponding to the first pattern matrix, and generating a first target label specifying the fixability corresponding to the first pattern matrix based on the determined possibility of the DRC violation-free first circuit design pattern. The first pattern matrix and the first target label may be used as training data to train a machine-learning model to predict fixability of the DRC violation.

Abstract: This application provides a data stream sending method, and the method includes: sending, by a first device, a request packet to a second device; sending, by the first device, a data stream to the second device after the first device sends the request packet and before the first device receives the response packet sent by the second device; and receiving, by the first device, the response packet that is sent by the second device and that is in response to the request packet.

Abstract: A method to report a phantom object for a structure in a power-and-ground (PG) router is disclosed. The method includes generating the structure of a PG network based on a spec received as input, identifying a violation of a design rule for the structure, and changing the structure to remove the violation of the design rule. The method further includes generating a report of the violation and the changing, generating a phantom object based on the changing, and outputting the report and the phantom object.

Abstract: The present invention relates to the isolation of Jatropha curcas curcin genes and tissue-specific promoters and to the production of curcin-deficient Jatropha plants. More specifically, the present invention relates to the isolation of Jatropha curcas Curcin 1, Curcin 2 and Curcin 2 A. The present invention further relates to of the Curcin 1, Curcin 2 A and Curcin 2 genes and more particularly to tissue specific promoters of the Curcin 1 and Curcin 2A genes. The present invention further relates to production of curcin-deficient transgenic jatropha plants by using RNAi technology to suppress curcin gene expression.

Abstract: The present invention relates to the isolation of Jatropha curcas curcin genes and tissue-specific promoters and to the production of curcin-deficient Jatropha plants. More specifically, the present invention relates to the isolation of Jatropha curcas Curcin 1, Curcin 2 and Curcin 2 A. The present invention further relates to of the Curcin 1, Curcin 2 A and Curcin 2 genes and more particularly to tissue specific promoters of the Curcin 1 and Curcin 2A genes. The present invention further relates to production of curcin-deficient transgenic jatropha plants by using RNAi technology to suppress curcin gene expression.