G01N15/12

Multi-core sensor system within taxi roof light

A multi-core sensor system in taxi roof light is provided. The multi-core sensor system can intelligently determine whether the change is caused by the sub-sensor failure or sudden pollution, when the data detected by the sub-sensor suddenly changes dramatically, so as to increase the reliability of detection data of the sub-sensor. The multi-core sensor system can automatically determine whether the repair is needed when a device fault occurs, thereby ensuring the continuity of the sub-sensor detection data; which has significant value for continuous monitoring required for a haze treatment operation. In addition, human and material resources for device maintenance may be saved, thereby reducing waste.

Multi-core sensor system within taxi roof light

A multi-core sensor system in taxi roof light is provided. The multi-core sensor system can intelligently determine whether the change is caused by the sub-sensor failure or sudden pollution, when the data detected by the sub-sensor suddenly changes dramatically, so as to increase the reliability of detection data of the sub-sensor. The multi-core sensor system can automatically determine whether the repair is needed when a device fault occurs, thereby ensuring the continuity of the sub-sensor detection data; which has significant value for continuous monitoring required for a haze treatment operation. In addition, human and material resources for device maintenance may be saved, thereby reducing waste.

Systems for forming a nanopore in a membrane

A method of forming a nanopore in a lipid bilayer is disclosed. A nanopore forming solution is deposited over a lipid bilayer. The nanopore forming solution has a concentration level and a corresponding activity level of pore molecules such that nanopores are substantially not formed un-stimulated in the lipid bilayer. Formation of a nanopore in the lipid bilayer is initiated by applying an agitation stimulus level to the lipid bilayer. In some embodiments, the concentration level and the corresponding activity level of pore molecules are at levels such that less than 30 percent of a plurality of available lipid bilayers have nanopores formed un-stimulated therein.

Systems for forming a nanopore in a membrane

A method of forming a nanopore in a lipid bilayer is disclosed. A nanopore forming solution is deposited over a lipid bilayer. The nanopore forming solution has a concentration level and a corresponding activity level of pore molecules such that nanopores are substantially not formed un-stimulated in the lipid bilayer. Formation of a nanopore in the lipid bilayer is initiated by applying an agitation stimulus level to the lipid bilayer. In some embodiments, the concentration level and the corresponding activity level of pore molecules are at levels such that less than 30 percent of a plurality of available lipid bilayers have nanopores formed un-stimulated therein.

Method for isolation and restoration for a multi core sensor system within a taxi

A method for isolation and restoration for a multi-core sensor system within a taxi is provided. This method can intelligently determine whether the reason for an abrupt dramatic change in the data detected by sub-sensor is a sensor fault or sudden pollution, so as to increase the reliability of the data detected by the sub-sensor. This method can automatically determine if the repair can be performed when a device fault occurs, so as to ensure the continuity of the detection data of the sub-sensor, which has significant value for continuous monitoring required for a haze treatment operation. In addition, human and material resources for device maintenance may be saved, thereby reducing waste.

Methods of diagnosing <i>Clostridium difficile </i>infection or recurrence in a subject

Methods are described for identifying CDI patients as well as CDI patients at risk for recurrence. Embodiments include: (1) flow cytometry of circulating peripheral blood mononuclear cells (PBMC) to phenotype for the less efficient immunoglobulin response to bacterial toxins and surface antigens that characterizes patients who will become recurrent; (2) stratification by means of complete blood count (CBC) using a Coulter counter to detect the differences in lower angle light scatter (LAL), which has a larger range in the recurrent population; and (3) stratification by means of complete blood count (CBC) using a Coulter counter to detect the lower axial light loss (AL2) exhibited in recurrent patients.

Methods of diagnosing <i>Clostridium difficile </i>infection or recurrence in a subject

Methods are described for identifying CDI patients as well as CDI patients at risk for recurrence. Embodiments include: (1) flow cytometry of circulating peripheral blood mononuclear cells (PBMC) to phenotype for the less efficient immunoglobulin response to bacterial toxins and surface antigens that characterizes patients who will become recurrent; (2) stratification by means of complete blood count (CBC) using a Coulter counter to detect the differences in lower angle light scatter (LAL), which has a larger range in the recurrent population; and (3) stratification by means of complete blood count (CBC) using a Coulter counter to detect the lower axial light loss (AL2) exhibited in recurrent patients.

Multi-core sensor system

A multi-core sensor system is provided. The multi-core sensor system can intelligently determine whether the reason for an abrupt dramatic change in sensor data is a sub-sensor fault or sudden pollution, so as to increase reliability of detected data of the sub-sensor. The multi-core sensor system can automatically determine whether the repair is needed when a device fault occurs, so as to ensure the continuity of sub-sensor detected data, which has significant value for continuous monitoring required for a haze treatment operation. In addition, human and material resources for device maintenance may be saved, thereby reducing waste.

Method for determination and isolation of abnormal sub-sensors in a multi-core sensor

A method for determination and isolation for abnormal sub-sensors in a multi-core sensor. It can be intelligently determined whether the reason for an abrupt dramatic change in sensor data is a sensor fault or sudden pollution, so as to increase data reliability. A data online rate is increased if a repair can be performed via automatic determination when a device fault occurs, which has significant value for continuous monitoring required for a haze treatment operation. In addition, human and material resources for device maintenance may be saved, thereby reducing waste.

Method for determination and isolation of abnormal sub-sensors in a multi-core sensor

A method for determination and isolation for abnormal sub-sensors in a multi-core sensor. It can be intelligently determined whether the reason for an abrupt dramatic change in sensor data is a sensor fault or sudden pollution, so as to increase data reliability. A data online rate is increased if a repair can be performed via automatic determination when a device fault occurs, which has significant value for continuous monitoring required for a haze treatment operation. In addition, human and material resources for device maintenance may be saved, thereby reducing waste.