Abstract: The present disclosure provides aptamers that bind to certain small molecules. Also contemplated are riboswitches and polynucleotide cassettes for regulating the expression of a target gene, wherein the polynucleotide cassettes comprise the aptamers disclosed herein. Further provided are small molecules that bind to the aptamers disclosed herein and are modulators of target gene expression where the target gene contains a riboswitch comprising an aptamer described herein.

Abstract: This invention provides compounds that modulate glucose uptake activity and cellular transport/uptake of glucose, and particularly GLUT3, but also including but not limited to GLUT1-14 (SLC2A1-SLC2A14). Compounds of the invention are useful for treating diseases, including cancer, autoimmune diseases and inflammation, infectious diseases, and metabolic diseases.

Abstract: This invention provides compounds that modulate glucose uptake activity and cellular transport/uptake of glucose, and particularly GLUTS3, but also including but not limited to GLUT1-14 (SLC2A1-SLC2A14). Compounds of the invention are useful for treating diseases, including cancer, autoimmune diseases and inflammation, infectious diseases, and metabolic diseases.

Abstract: The present invention provides a method for integrated online monitoring and a system for integrated online monitoring from a remote location for a nuclear power plant. The method includes a first step of collecting machine monitoring data of a plurality of units in the nuclear power plant selectively from the local data acquisition device via the monitoring data relay device, and a second step of collecting machine diagnostic data of a plurality of units in the nuclear power plant selectively from the local data acquisition device via the diagnostic data relay device.

Abstract: The invention relates to inhibitors of ROCK1 and/or ROCK2. Also provided are methods of inhibiting ROCK1 and/or ROCK2 that are useful for the treatment of disease.

Abstract: The invention relates to inhibitors of ROCK1 and/or ROCK2 having the formula I: Also provided are methods of inhibiting ROCK1 and/or ROCK2 useful for the treatment of disease.

Abstract: The present disclosure relates to oligonucleotide aptamers that bind to certain small molecules including thiamine analogs and derivatives and methods of generating aptamers that bind to the small molecules. Also contemplated are riboswitches and polynucleotide cassettes comprising the aptamers disclosed herein. Further provided are methods of using said aptamers, riboswitches, and/or polynucleotide for the regulation of target genes, including therapeutic genes. Also provided herein are small molecules that are modulators of target gene expression where the target gene contains a riboswitch comprising an aptamer described herein.

Abstract: The invention relates to inhibitors of ROCK1 and/or ROCK2. Also provided are methods of inhibiting ROCK1 and/or ROCK2 that are useful for the treatment of disease.

Abstract: The invention relates to inhibitors of ROCK1 and/or ROCK2. Also provided are methods of inhibiting ROCK1 and/or ROCK2 that are useful for the treatment of disease.

Abstract: A risk determining method and apparatus are disclosed. The risk determining method includes obtaining a plurality of sets of elevation-velocity data, determining a diffusion prediction coefficient based on the obtained sets of elevation-velocity data, determining at least one of a volatilization factor (VF) or a particulate emission factor (PEF) based on the determined diffusion prediction coefficient, and determining a risk from an inhalation exposure based on the at least one of the VF or the PEF.

Abstract: The invention relates to inhibitors of ROCK1 and/or ROCK2. Also provided are methods of inhibiting ROCK1 and/or ROCK2 that are useful for the treatment of disease.

Abstract: Method for diagnosing a pneumatic control valve by using a positioner model includes: establishing relational expression for outputting valve stem displacement according to control pressure, the relational expression including parameters for the characteristics of a positioner, an actuator, and a valve, determining initial parameter value by adjusting the values of the parameters until the difference between a measured value for a normal operation of the pneumatic control valve and output value obtained by the relational expression is smaller than predetermined error limit, determining diagnostic parameter value by adjusting the values of the parameters until the difference between a measured value for a diagnostic operation of the pneumatic control valve and an output value obtained by the relational expression is smaller than a predetermined error limit, and comparing the initial parameter value and the diagnostic parameter value so as to determine whether the pneumatic control valve has abnormality.

Abstract: System for diagnosing pneumatic control valve online include a sensor set having sensors, attached to a pneumatic control valve, for measuring the state of the pneumatic control valve, a smart data analyzer for processing sensor signal acquired in real time from the sensor set and generating pneumatic control valve state information for online automatic diagnosis of the pneumatic control valve, a data server for transmitting, to an online analysis server, the pneumatic control valve state information received in real time from the smart data analyzer and storing the pneumatic control valve state information for predetermined time period, the online diagnostic server for, by comparing the pneumatic control valve state information with pre-stored normal state data of the pneumatic control valve, determining whether the pneumatic control valve is in abnormal state and generating diagnostic information, and a client computer for displaying the diagnostic information received from the online diagnostic server.

Abstract: The present invention provides a method for learning latest data considering external influences in an early warning system, and the early warning system for same. The method for learning latest data considering external influences comprises the steps of: an early warning processing device categorizing device monitored variables according to external influences; and the early warning processing device differently applying a pattern learning method for each of the categorized monitored variables.

Abstract: The present invention provides a method for integrated online monitoring and a system for integrated online monitoring from a remote location for a nuclear power plant. The method includes a first step of collecting machine monitoring data of a plurality of units in the nuclear power plant selectively from the local data acquisition device via the monitoring data relay device, and a second step of collecting machine diagnostic data of a plurality of units in the nuclear power plant selectively from the local data acquisition device via the diagnostic data relay device.

Abstract: The present invention provides a method for early warning of an abnormality sign of a device, which includes device importance and warning validity determination, and a system therefor. The method for early warning of the abnormality sign of the device comprises: a first step of determining by an early warning processing apparatus whether a device monitoring signal value exceeds a normal operation range by using a weight value on the basis of monitoring-parameter-specific importance data which has been previously analyzed by an operator; a second step of generating a warning by the early warning processing apparatus when the device monitoring signal value exceeds the normal operation range; and a third step of determining by a warning determination apparatus whether the generated warning is a valid warning, which is subject to a warning analysis and to be traced.

Abstract: The present invention provides a method for early warning of an abnormality sign of a device, which includes device importance and warning validity determination, and a system therefor. The method for early warning of the abnormality sign of the device comprises: a first step of determining by an early warning processing apparatus whether a device monitoring signal value exceeds a normal operation range by using a weight value on the basis of monitoring-parameter-specific importance data which has been previously analyzed by an operator; a second step of generating a warning by the early warning processing apparatus when the device monitoring signal value exceeds the normal operation range; and a third step of determining by a warning determination apparatus whether the generated warning is a valid warning, which is subject to a warning analysis and to be traced.

Abstract: The present invention provides a method for learning latest data considering external influences in an early warning system, and the early warning system for same. The method for learning latest data considering external influences comprises the steps of: an early warning processing device categorizing device monitored variables according to external influences; and the early warning processing device differently applying a pattern learning method for each of the categorized monitored variables.

Abstract: System for diagnosing pneumatic control valve online include a sensor set having sensors, attached to a pneumatic control valve, for measuring the state of the pneumatic control valve, a smart data analyzer for processing sensor signal acquired in real time from the sensor set and generating pneumatic control valve state information for online automatic diagnosis of the pneumatic control valve, a data server for transmitting, to an online analysis server, the pneumatic control valve state information received in real time from the smart data analyzer and storing the pneumatic control valve state information for predetermined time period, the online diagnostic server for, by comparing the pneumatic control valve state information with pre-stored normal state data of the pneumatic control valve, determining whether the pneumatic control valve is in abnormal state and generating diagnostic information, and a client computer for displaying the diagnostic information received from the online diagnostic server.

Abstract: A risk determining method and apparatus are disclosed. The risk determining method includes obtaining a plurality of sets of elevation-velocity data, determining a diffusion prediction coefficient based on the obtained sets of elevation-velocity data, determining at least one of a volatilization factor (VF) or a particulate emission factor (PEF) based on the determined diffusion prediction coefficient, and determining a risk from an inhalation exposure based on the at least one of the VF or the PEF.