Abstract: A method for preparing a supported olefin polymerization catalyst, comprising: step 1, activating a COF at 0° C.-800° C. for 0.1-48 hours under inert atmosphere or vacuum protection; optionally, step 2, reacting the activated COF with an auxiliary agent in a reaction medium at a temperature of 5° C.-120° C. under inert atmosphere or vacuum protection, and performing solid-liquid separation to obtain a solid phase material, wherein the auxiliary agent is selected from a metal alkyl compound, boron halothane, an alkyl aluminum oxide, a modified methyl aluminoxane, a Lewis acid, and a Grignard reagent; and step 3, under inert atmosphere or vacuum protection, reacting the solid phase material with the olefin polymerization catalyst in a reaction medium at ?30° C.-150° C., performing solid-liquid separation, and collecting the solid phase material as the supported olefin polymerization catalyst. A supported olefin polymerization catalyst and an application thereof.

Abstract: Applications of different configurations of novel glucagon peptide 1 with fatty acid modification or nonmodification in the treatment of T2D or the pancreas protection are provided. The dimer of the present disclosure is formed by two identical cysteine-containing GLP-1 monomers through a disulfide bond. The H-like GLP-1 homodimer (disulfide bond is inside chains) showed remarkable increase in hypoglycemic duration without reducing specific activity. The GLP-1 dimer provided has an in-vivo effective duration of up to 19 days, which significantly prolonged compared with that of the positive control drug Liraglutide with 3 days of effective duration, or thereby greatly promoting the technical advancement in long-acting GLP-1 drugs and facilitating their clinical applications and business. Meanwhile the U-like homodimer (disulfide bond is at the C-terminus) does not affect blood glucose, but can obviously protect pancreatic exocrine cells such as acini and ducts, and improve pancreas function.

Abstract: A method may include obtaining seismic data regarding a geological region of interest. The seismic data may correspond to a seismic survey that is divided into various bins in a predetermined bin grid. The method may further include determining a first multiblock bin within the seismic survey. The first multiblock bin may correspond to a source bin and a receiver bin among the bins. The method may further include determining traveltime table data using the seismic data and various multiblock bins that include the first multiblock bin. The method further includes determining migrated data using the seismic data, the traveltime table data, a velocity model, a migration function, and various parallel processors. The method further includes generating a seismic image of the geological region of interest using the migrated data.

Abstract: Materials and methods for creating plants (e.g., alfalfa lines) with reduced lignin content and composition are provided herein, as are plants, plant parts, and plant cells generated by the methods provided herein.

Abstract: The present invention discloses a LAN system, method and unit supporting dynamic self-adaptive network configuration. Through the integration of self-adaptive dynamic routing protocol with various nodes of network, the source node broadcasts and sends a message containing destination node information, and the intermediate node searches the destination node information in its connection state sheet and returns to the source node or adds its node information into the message and sends to other intermediate nodes based on the searching results, the intermediate node will modify its routing list and open the routing transfer function. The source node and the destination node will configure their routing lists respectively with the gateway and corresponding network interfaces through which the network segment of other node is reached to establish a routing connection. The system can automatically configure the network, and greatly decrease its dependence on the central node, increasing stability and reliability.

Abstract: The invention provides for Sorghum plants and plant parts developed through tissue culture, gene editing, or other methods of mutagenesis in which the plant or plant parts have increased tolerance to one or more acetyl-CoA carboxylase (ACC) herbicides at levels that would normally inhibit the growth of wild-type Sorghum plants. In this context, the Sorghum plant may be tolerant to any herbicide capable of inhibiting acetyl-CoA carboxylase enzyme activity. The present invention allows for the screening of ACC herbicide tolerant hybrids with markers or application of ACC inhibiting herbicides, and for the removal of unwanted vegetation with application of ACC inhibiting herbicides from seed and grain production fields.

Abstract: Materials and methods are provided for making plants with altered levels of amino acids, particularly by making controlled frameshift mutations in genes that are highly expressed in plant leaves or plant seeds.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for service oriented software-defined security framework are disclosed. In one aspect, a system includes a security control device, one or more assets, and a security controller that communicates with the security control device and the one or more assets. The security controller includes a processing engine configured to register the security control device by creating a physical-logical attribute mapping for the security control device, and generating a security service description associated with the security control device. The processing engine is further configured to register the one or more assets by creating a physical-logical attribute mapping for each of the one or more assets, and generating security service requirements for each of the one or more assets. The processing engine is further configured to generate a security service binding based on a request for service.

Abstract: Systems and methods are provided for detecting dictionary domain generation algorithm domain names using deep learning models. The system and method may comprise training and applying a model comprising a long short-term memory network, a convolutional neural network, and a feed forward neural network that accepts as input an output from the long short-term memory network and convolutional neural network. The system and method may provide a score indicating the likelihood that a domain name was generated using a dictionary domain generation algorithm domain name. The system and method may be provided as a service.

Abstract: Materials and methods for creating genome-engineered plants with non-transgenic methods are provided herein.

Abstract: Materials and methods for genome engineering through transient expression of a targeted nuclease are described herein. For example, the methods described herein can include introducing into a cell a messenger RNA (mRNA) that encodes a nuclease targeted to a selected sequence within the cell, where the stability of the mRNA is modified by the addition of untranslated regions (UTRs).

Abstract: Systems, methods, and apparatus, including computer programs encoded on computer storage media, for facilitating communication in an industrial control network. A system includes an industrial control network, one or more controller devices, one or more emulators, and an encryption relay processor. Each controller device can be operable to control one or more operational devices connected to the industrial control network. Each emulator can be configured to communicate with a respective controller device, and each emulator can be configured to reference a respective profile that includes information about security capabilities of the respective controller device. The encryption relay processor can be operable to facilitate communication to and from each emulator over the industrial control network.

Abstract: Systems and methods are provided for detecting dictionary domain generation algorithm domain names using deep learning models. The system and method may comprise training and applying a model comprising a long short-term memory network, a convolutional neural network, and a feed forward neural network that accepts as input an output from the long short-term memory network and convolutional neural network. The system and method may provide a score indicating the likelihood that a domain name was generated using a dictionary domain generation algorithm domain name. The system and method may be provided as a service.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for service oriented software-defined security framework are disclosed. In one aspect, a system includes a security control device, one or more assets, and a security controller that communicates with the security control device and the one or more assets. The security controller includes a processing engine configured to register the security control device by creating a physical-logical attribute mapping for the security control device, and generating a security service description associated with the security control device. The processing engine is further configured to register the one or more assets by creating a physical-logical attribute mapping for each of the one or more assets, and generating security service requirements for each of the one or more assets. The processing engine is further configured to generate a security service binding based on a request for service.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for service oriented software-defined security framework are disclosed. In one aspect, a system includes a security control device, one or more assets, and a security controller that communicates with the security control device and the one or more assets. The security controller includes a processing engine configured to register the security control device by creating a physical-logical attribute mapping for the security control device, and generating a security service description associated with the security control device. The processing engine is further configured to register the one or more assets by creating a physical-logical attribute mapping for each of the one or more assets, and generating security service requirements for each of the one or more assets. The processing engine is further configured to generate a security service binding based on a request for service.

Abstract: A computer-implemented method that includes a computing system receiving a plurality of data items that include content data. The system then generates a first inference model based on the received content data. The system also receives metadata associated with respective data items and then generates a second inference model based on the received metadata data. The system further determines, based on the first inference model, a first weight parameter associated with the content data, and determines, based on the second inference model, a second weight parameter associated with the metadata. The system then generates a classification model for determining a classification of at least one data item of the plurality of data items. The classification model is generated based on at least one of the first weight parameter or the second weight parameter.

Abstract: Materials and methods for creating plants (e.g., alfalfa lines) with reduced lignin content and composition are provided herein, as are plants, plant parts, and plant cells generated by the methods provided herein.