Abstract: The present disclosure relates to the genetically modified non-human animals that express a human or chimeric CTLA-4, and methods of use thereof.

Abstract: The present disclosure relates to genetically modified non-human animals that express a human or chimeric (e.g., humanized) CD3e (T-cell surface glycoprotein CD3 epsilon chain), and methods of use thereof.

Abstract: The present disclosure relates to genetically modified non-human animals that express a human or chimeric (e.g., humanized) glucocorticoid-induced TNFR-related protein (GITR), and methods of use thereof.

Abstract: The present disclosure relates to the genetically modified non-human animals that express a human or chimeric (e.g., humanized) Lymphocyte Activation Gene 3 (LAG-3), and methods of use thereof.

Abstract: The present disclosure relates to the genetically modified non-human animals that express a human or chimeric (e.g., humanized) T-cell immunoglobulin and mucin-domain containing-3 (TIM-3), and methods of use thereof.

Abstract: The present disclosure relates to the genetically modified non-human animals that express a human or chimeric TIGIT (e.g., humanized TIGIT), and methods of use thereof.

Abstract: The present disclosure relates to genetically modified non-human animals that express a human or chimeric (e.g., humanized) CD40, and methods of use thereof.

Abstract: Provided is a method for preparing a PD-1 gene-modified humanized animal model. The method utilizes the CRIPSR/Cas9 technique to replace partial fragments of a mouse PD-1 gene with fragments of a human PD-1 gene using homologous recombination by constructing a targeting vector, thereby preparing a gene-modified humanized mouse. This mouse can normally express a PD-1 protein containing the functional domain of the human PD-1 protein, and can be used as an animal model for mechanism research regarding PD-1, PD-L1 and other signals, for screening regulators, and for toxicological research. The method has an important and high application value in studies on functions of the PD-1 gene and in the development of new drugs.

Abstract: The present disclosure relates to genetically modified non-human animals that express a human or chimeric (e.g., humanized) CD47, and methods of use thereof.

Abstract: The present disclosure relates to genetically modified non-human animals that express a human or chimeric (e.g., humanized) CD137, and methods of use thereof.

Abstract: The present disclosure relates to the genetically modified non-human animals that express a human or chimeric (e.g., humanized) CD27, and methods of use thereof.

Abstract: The present disclosure relates to genetically modified non-human animals that express a human or chimeric (e.g., humanized) CD28, and methods of use thereof.

Abstract: The present disclosure relates to the genetically modified non-human animals that express a human or chimeric TIGIT (e.g., humanized TIGIT), and methods of use thereof.

Abstract: The present disclosure relates to the genetically modified non-human animals that have a disruption at the endogenous CD132 gene (e.g., CD132 knockout), and methods of use thereof.

Abstract: This disclosure relates to genetically modified animal expressing human or chimeric (e.g., humanized) programmed death-ligand 1 (PD-L1, PDL1, or B7-H1), and methods of use thereof.

Abstract: The wastewater treatment process by using activated sludge process often appear the sludge bulking fault phenomenon. Due to production conditions of wastewater treatment process, the correlation and restriction between variables, the characteristics of nonlinear and time-varying, which lead to hard identification of sludge bulking; Sludge bulking is not easy to detect and the reasons resulting in the sludge bulking are difficult to identify, are current RBF neural network is designed for detecting and identifying the causes of sludge volume index (SVI) in this patent. The method builds soft-computing model of SVI based on recurrent RBF neural network, it has been completed to the real-time prediction of SVI concentration and better accuracy were obtained. Once the fault of sludge bulking is detected, the identifying cause variables (CVI) algorithm can find the cause variables of sludge bulking.

Abstract: A rain awning system and an electric vehicle using the system, wherein the rain awning system having an awning stretching and storing device mounted on a frame front crossbeam, the awning stretching and storing device having a roller, awning fabric rolled around the roller and a drive assembly for driving the rotation of the roller, and the roller and the drive assembly are both fixed to the frame front crossbeam which is connected to a support plate; and the rain awning system further having an awning fabric drive device which is provided on the support plate and is used for driving the awning fabric rolled around the roller to stretch outwardly, and a guide assembly for guiding the movement of the awning fabric is provided between the awning fabric and a door. The electric vehicle having the rain awning system.

Abstract: In this present disclosure, a computing implemented method is designed for predicting the effluent total nitrogen concentration (TN) in an urban wastewater treatment process (WWTP). The technology of this present disclosure is part of advanced manufacturing technology and belongs to both the field of control engineer and environment engineer. To improve the predicting efficiency, a recurrent self-organizing RBF neural network (RSORBFNN) can adjust the structure and parameters simultaneously. This RSORBFNN is developed to implement this method, and then the proposed RSORBFNN-based method can predict the effluent TN with acceptable accuracy. Moreover, online information of effluent TN may be predicted by this computing implemented method to enhance the quality monitoring level to alleviate the current situation of wastewater and to strengthen the management of WWTP.

Abstract: Under conventional techniques, wastewater treatment has many problems such as poor production conditions, serious random interference, strong nonlinear behavior, large time-varying, and serious lagging. These problem cause difficult detection of various wastewater treatment parameter such as biochemical oxygen demand (BOD) values that are used to monitor water quality. To solve problems associated with monitoring BOD values in real-time, the present disclosure utilizes a self-organizing recurrent RBF neural network designed for intelligent detecting of BOD values. Implementations of the present disclosure build a computing model of BOD values based on the self-organizing recurrent RBF neural network to achieve real-time and more accurate detection of the BOD values (e.g., a BOD concentration). The implementations herein quickly and accurately obtain BOD concentrations and improve the quality and efficiency of wastewater treatment.

Abstract: A rain awning system and an electric vehicle using the system, wherein the rain awning system having an awning stretching and storing device mounted on a frame front crossbeam, the awning stretching and storing device having a roller, awning fabric rolled around the roller and a drive assembly for driving the rotation of the roller, and the roller and the drive assembly are both fixed to the frame front crossbeam which is connected to a support plate; and the rain awning system further having an awning fabric drive device which is provided on the support plate and is used for driving the awning fabric rolled around the roller to stretch outwardly, and a guide assembly for guiding the movement of the awning fabric is provided between the awning fabric and a door. The electric vehicle having the rain awning system.