Abstract: The present disclosure provides a method, device and system for detecting a working state of a tower controller, the method includes: collecting voice data of a tower controller, and extracting a keyword from the voice data; acquiring a video image of the tower controller, and acquiring a gaze area of the tower controller from the video image; analyzing and detecting whether the tower controller has correctly accomplished an observation action according to the gaze area of the tower controller and the keyword. The present disclosure implements more efficient and accurate detection on the working state of the tower controller, and at the same time ensures the safety of an aircraft in an airport area and reduces a risk of colliding with other obstacles.

Abstract: Systems and methods are provided for predicting a location of a fault in an area of interest of a subterranean formation by automatically determining a minimum-energy path between fault points received from a user and positioned on a seismic image of the area of interest. The seismic image of the area of interest may include fault indicators corresponding to potential faults. In some aspects, the minimum-energy path may be determined by tracing a path from one of the two fault points to the other fault points using segments of the fault indicators identified as requiring the least amount of energy to traverse a path between the selected fault points.

Abstract: A natural gas power generation process with zero carbon emission is described. The process includes pressurizing air and introducing the pressurized air into an air separation facility to obtain liquid oxygen and liquid nitrogen. The liquid oxygen is used for gasification and power generation The liquid nitrogen is applied as a coolant of flue gas, and then for gasification and power generation.

Abstract: The present disclosure provides a method, device and system for detecting a working state of a tower controller, the method includes: collecting voice data of a tower controller, and extracting a keyword from the voice data; acquiring a video image of the tower controller, and acquiring a gaze area of the tower controller from the video image; analyzing and detecting whether the tower controller has correctly accomplished an observation action according to the gaze area of the tower controller and the keyword. The present disclosure implements more efficient and accurate detection on the working state of the tower controller, and at the same time ensures the safety of an aircraft in an airport area and reduces a risk of colliding with other obstacles.

Abstract: The present disclosure relates to the technical field of natural gas power generation, and particularly discloses a natural gas combined power generation process with zero carbon emission, the process comprising: introducing the pressurized air into an air separation facility to obtain liquid oxygen and liquid nitrogen, wherein the liquid oxygen is used for gasification and power generation, the liquid nitrogen is applied as the coolant of flue gas, and then used for the gasification and power generation; the liquid nitrogen and a part of liquid oxygen stored during the valley period with low electricity load are provided for use during the peak period with high electricity load; the natural gas, oxygen and the recyclable CO2 jointly enter a combustion gas turbine for burning to drive an air compressor and a generator to rotate at a high speed, the air compressor compresses the air to a pressure of 0.4˜0.

Abstract: The present invention is directed to methods of diagnosing a disease or predicting an increased risk of a disease, such as obesity, obesity-dependent subacute inflammation, atherosclerosis, cardiovascular disease and a metabolic disease, by determining the levels of omentin 1 and 2 protein in a subject, or by determining the levels of omentin 1 and 2 gene expression in a subject. The present invention is also directed to methods of disease treatment using omentin 1 protein and omentin 2 protein.

Abstract: Novel alanine transaminase (ALT) polypeptides and the use thereof as a diagnostic marker to predict and monitor tissue damage and/or tissue malfunction. The ALT polypeptides are murine and/or rattus ALT polypeptides and said ALT polypeptides are used to detect, predict and/or determine hepatic processes of an animal, particularly mice and/or rats.

Abstract: The present invention is directed to methods of diagnosing a disease or predicting an increased risk of a disease, such as obesity, obesity-dependent subacute inflammation, atherosclerosis, cardiovascular disease and a metabolic disease, by determining the levels of omentin 1 and 2 protein in a subject, or by determining the levels of omentin 1 and 2 gene expression in a subject. The present invention is also directed to methods of disease treatment using omentin 1 protein and omentin 2 protein.

Abstract: The present invention relates to the discovery that acute-phase serum amyloid protein A (A-SAA) is a biomarker for obesity and certain abnormal conditions. The present invention, therefore, provides methods of diagnosing obesity or an abnormal condition in a subject The present invention also provides methods of monitoring the progression of obesity or an abnormal condition in a subject. The present invention also relates to treating obesity or an abnormal condition comprising reducing the levels of active SAA1 and/or SAA2 in a subject in need thereof.

Abstract: Novel alanine transaminase (ALT) polypeptides and the use thereof as a diagnostic marker to predict and monitor tissue damage and/or tissue malfunction. The ALT polypeptides are murine and/or rattus ALT polypeptides and said ALT polypeptides are used to detect, predict and/or determine hepatic processes of an animal, particularly mice and/or rats.