Abstract: This application describes a proactive sensing system for an autonomous vehicle. This system fuses vehicle sensing data and sensing data from a roadside unit, a Traffic Control Unit, and/or a cloud to provide full 360-degree coverage and birds-eye view of the driving environment. This proactive sensing system cooperatively uses vehicle-based sensor data and sensor data from external sources to provide better and more efficient sensing of longtail or corner cases, such as blind spots and blockage by surrounding objects. Specifically, this proactive sensing system effectively identifies major sensing points where vulnerable road users, such as pedestrians and bicycles, are major challenges for autonomous vehicles at intersections, roundabouts, or work zones. Accordingly, the technology significantly improves the safety of autonomous vehicles.

Abstract: This invention presents an automated driving system with distributed computing (ADS-DC). During the operation of a connected automated vehicle (CAV), some or all of its automated driving capabilities for sensing, prediction, planning, decision-making, or control may be downgraded due to long-tail events or malfunctions. The intelligent roadside toolbox (IRT) functions as an edge server or a cloud, and can supplement CAV's sensing functions, prediction and management functions, planning and decision-making functions, and vehicle control functions by providing customized, on-demand, and dynamic computing resources and functions to the CAV. In addition, the IRT computing functions provide the computation support for sensing, prediction, planning, decision-making, and/or control functions of said CAV. Namely, the IRT functions as an edge server or a cloud to provide processing, training or optimization of CAV driving models as well as facilitate the implementation of the driving models in the CAV.

Abstract: Disclosed is a modeling simulation system for plasma control, comprising: an interactive modeling environment module and a parameter configuration component, configured to represent and construct a plasma control model and a response model; a simulation engine, configured to invoke a calculation code of a simulation element or perform a simulation calculation by using a solver, and transmit calculated simulation results back to users; a system library, comprising a basic library and a customization library; a device manager, configured to extend a communication interface by using a simulation element to support a communication between models and external systems and guarantee message synchronization.

Abstract: Ribozymes exhibiting tRNA synthetase activity and substrate specificity, as well as methods for engineering and producing the same, are disclosed. The ribozymes of the present disclosure comprise a T-box module fused with a flexizyme module. The flexizyme module provides high promiscuity with respect to amino acid substrates and the T-box module provides tRNA substrate specificity, which may be engineered as desired. Systems are also described for aminoacylation of suppressor tRNAs with unnatural amino acids (uAAs), such systems comprising the ribozyme previously mentioned, suppressor tRNA, and the desired uAA(s). Methods for incorporating a uAA into a growing polypeptide chain using the ribozyme hereof are also provided.

Abstract: Ribozymes exhibiting tRNA synthetase activity and substrate specificity, as well as methods for engineering and producing the same, are disclosed. The ribozymes of the present disclosure comprise a T-box module fused with a flexizyme module. The flexizyme module provides high promiscuity with respect to amino acid substrates and the T-box module provides tRNA substrate specificity, which may be engineered as desired. Systems are also described for aminoacylation of suppressor tRNAs with unnatural amino acids (uAAs), such systems comprising the ribozyme previously mentioned, suppressor tRNA, and the desired uAA(s). Methods for incorporating a uAA into a growing polypeptide chain using the ribozyme hereof are also provided.

Abstract: Cell-free protein synthesis systems and methods of using the same for producing in vitro protein materials in high yield are disclosed. The cell-free protein synthesis platform includes (a) a Saccharomyces cerevisiae cellular extract prepared from mid-exponential to late-exponential batch cultures in the range from about 6 OD600 to about 18 OD600 or fed-batch cultures harvested in mid-exponential to late-exponential phase; (b) a reaction buffer; and (c) a translation template or (c?) a transcription template from which a translation template can be prepared in situ with an RNA polymerase. A method of performing high-throughput protein synthesis in vitro is also provided that utilizes a combined transcription/translation reaction with the cell-free protein synthesis platform from Saccharomyces cerevisiae, an RNA polymerase and a transcription template prepared from a source DNA using an amplification procedure.

Abstract: Cell-free protein synthesis systems and methods of using the same for producing in vitro protein materials in high yield are disclosed. The cell-free protein synthesis platform includes (a) a Saccharomyces cerevisiae cellular extract prepared from mid-exponential to late-exponential batch cultures in the range from about 6 OD600 to about 18 OD600 or fed-batch cultures harvested in mid-exponential to late-exponential phase; (b) a reaction buffer; and (c) a translation template or (c?) a transcription template from which a translation template can be prepared in situ with an RNA polymerase. A method of performing high-throughput protein synthesis in vitro is also provided that utilizes a combined transcription/translation reaction with the cell-free protein synthesis platform from Saccharomyces cerevisiae, an RNA polymerase and a transcription template prepared from a source DNA using an amplification procedure.