Abstract: Implementations herein leverage knowledge about historical process automation facilities to automate designing a new process automation facility. A first level design input may be processed to generate a first embedding that encodes design aspect(s) of the requested process automation facility with a degree of detail commensurate with a first level of a hierarchy reflected by design documents typically used to design a process automation facility. The first embedding may be used to find first level reference embeddings that encode design aspects of reference process automation facilities. Second level reference embedding(s) may be identified based on mapping(s) from the selected first level reference embedding(s). Each second level reference embedding may encode design aspect(s) of a respective reference process automation facility with a degree of detail that is commensurate with a second level of the design document hierarchy.

Abstract: Implementations are described herein for automatic deployment of function block application programs (FBAPs) across process automation nodes of a process automation system. In various implementations, one or more constraints associated with execution of a FBAP may be identified. Based on the one or more constraints, a process automation system that includes a plurality of process automation nodes may be analyzed. Based on the analysis, a subset of two or more process automation nodes on which to distributively deploy the FBAP may be selected from the plurality of processing node. In response to selecting the subset, the FBAP may be distributively deployed across the two or more process automation nodes of the subset.

Abstract: A method controls a folding box machine having a plurality of machining stations and a plurality of control devices for controlling the quality of folding boxes. Each control device controls different quality features of each folding box, and each control device transmits the result of the control to a control unit. Target values are stored in the control unit in order to classify the control results into results which meet the quality standard and results which do not meet the quality standard, and a folding box is discharged depending on an evaluation. The method advantageously reduces waste.

Abstract: A method controls a folding box machine having a plurality of machining stations and a plurality of control devices for controlling the quality of folding boxes. Each control device controls different quality features of each folding box, and each control device transmits the result of the control to a control unit. Target values are stored in the control unit in order to classify the control results into results which meet the quality standard and results which do not meet the quality standard, and a folding box is discharged depending on an evaluation. The method advantageously reduces waste.

Abstract: Methods and compositions for detecting the sub-cellular localization of a molecule are provided. Aspects of the invention include detecting translocation of a cell-surface receptor to a sub-cellular compartment, e.g., the endosome, using a reduced affinity enzyme complementation reporter system. Also provided are systems and kits for use in practicing embodiments of the methods.

Abstract: A heat exchanger assembly that addresses the thermal cycling problem to increase the durability of the heat exchanger core by fabricating at least the tube next adjacent to each of the reinforcing members with a cross section adjacent each of the headers including a radius having a partial maximum tube strain energy density and fabricating each of the reinforcing members with a connection section adjacent each of the headers having a reinforcement with a partial maximum strain energy density greater than the partial maximum strain energy density of the adjacent tube.

Abstract: A contaminant detection system includes a transmitter for transmitting a guided wave through the skin at particular resonances, wherein each resonance point utilized will have propagation characteristics sensitive to a condition of interest. A contaminant may then be classified by transmitting several resonances and then carrying out appropriate feature extraction and pattern recognition techniques utilizing a host processor.