The technology described herein is directed to structural analysis, particularly of small proteins via cryo-EM.

The present invention relates to a method for simultaneous analysis of radiocarbon and tritium, the method including (i) mixing a radioactive waste sample containing a radiocarbon nuclide and tritiated water, and an oxidizing agent; (ii) oxidizing the radiocarbon nuclide in the radioactive waste sample to a gas containing an oxide of the radiocarbon nuclide by the oxidizing agent while suppressing volatilization of compounds containing gamma radionuclides other than the radiocarbon nuclide and tritium; (iii) discharging the gas containing an oxide of the radiocarbon nuclide by injecting an inert gas to the mixture; (iv) vaporizing and discharging the tritiated water in the mixture; and (v) analyzing radioactivity of radiocarbon and tritium from the discharged gas containing an oxide of the radiocarbon nuclide and tritiated water, and an apparatus for analysis of the same.

The present invention relates to a method for simultaneous analysis of radiocarbon and tritium, the method including (i) mixing a radioactive waste sample containing a radiocarbon nuclide and tritiated water, and an oxidizing agent; (ii) oxidizing the radiocarbon nuclide in the radioactive waste sample to a gas containing an oxide of the radiocarbon nuclide by the oxidizing agent while suppressing volatilization of compounds containing gamma radionuclides other than the radiocarbon nuclide and tritium; (iii) discharging the gas containing an oxide of the radiocarbon nuclide by injecting an inert gas to the mixture; (iv) vaporizing and discharging the tritiated water in the mixture; and (v) analyzing radioactivity of radiocarbon and tritium from the discharged gas containing an oxide of the radiocarbon nuclide and tritiated water, and an apparatus for analysis of the same.

Provided is a portable XRF data screening method for heavy metal contaminated soil, relating to the technical field of heavy metal contamination test. The method includes the following steps: (1) laboratory test; (2) XRF test; and (3) calculation of a recheck interval: dividing test data into four areas by a contaminant screening value X.sub.c as a horizontal line and a correlation-derived site screening value as a vertical line to calculate the recheck interval. The method is simple and efficient, and is beneficial to saving investigation costs and shortening a project cycle.

Provided is a portable XRF data screening method for heavy metal contaminated soil, relating to the technical field of heavy metal contamination test. The method includes the following steps: (1) laboratory test; (2) XRF test; and (3) calculation of a recheck interval: dividing test data into four areas by a contaminant screening value X.sub.c as a horizontal line and a correlation-derived site screening value as a vertical line to calculate the recheck interval. The method is simple and efficient, and is beneficial to saving investigation costs and shortening a project cycle.

A quantitative statistical characterization method of micron-level second phase in aluminum alloy based on deep learning is disclosed. The method includes obtaining a feature database of the standard sample, training the feature database by the image segmentation network U-Net based on deep learning to obtain a U-Net segmentation model, selecting the corresponding parameters of the optimal precision and establishing a U-Net target model; clipping the aluminum alloy image to be detected and inputting the clipped images into the U-net target model, obtaining the size, area and position information of the second phase through the connected region algorithm, carrying out statistical distribution of the data set combined with the mathematical statistical method, and restoring the position information to the surface of the aluminum alloy to be tested to obtain the full-field quantitative statistical distribution and visualization results.

A quantitative statistical characterization method of micron-level second phase in aluminum alloy based on deep learning is disclosed. The method includes obtaining a feature database of the standard sample, training the feature database by the image segmentation network U-Net based on deep learning to obtain a U-Net segmentation model, selecting the corresponding parameters of the optimal precision and establishing a U-Net target model; clipping the aluminum alloy image to be detected and inputting the clipped images into the U-net target model, obtaining the size, area and position information of the second phase through the connected region algorithm, carrying out statistical distribution of the data set combined with the mathematical statistical method, and restoring the position information to the surface of the aluminum alloy to be tested to obtain the full-field quantitative statistical distribution and visualization results.

A mercury emissions monitor includes a mercury sensor tape configured to be fed in a reel-to-reel manner between first and second tape reels, wherein the mercury sensor tape includes a thin metallic film configured to form an amalgam with detected mercury. A mercury collection unit is configured to receive into a chamber a sample of a gas containing mercury, wherein the mercury collection unit is further configured to permit passage of portions of the mercury sensor tape through the chamber containing the gas sample so that the amalgam is formed with the thin metallic film. A mercury analysis unit includes a total reflection x-ray fluorescence (“TXRF”) system configured to perform a TXRF analysis of the amalgam, wherein the mercury analysis unit is configured to permit passage of the mercury sensor tape within a proximity of an XRF detector of the TXRF system. The mercury collection unit and the mercury analysis unit are positioned between the first and second tape reels so that the mercury sensor tape can move in a continuous manner from the first tape reel through the chamber of the mercury collection unit, then within sufficient proximity to the XRF detector, to be then taken up onto the second tape reel.

A diatomite product and method of using such is disclosed. The diatomite product may comprise sodium flux-calcined diatomite, wherein the diatomite product has a crystalline silica content of less than about 1 wt %, and the diatomite product has a permeability between 0.8 darcy and about 30 darcy. In some embodiments, the diatomite product may be in particulate or powdered form. This disclosure also concerns flux-calcined silica products containing low or non-detectable levels of crystalline silica. Some of these products can be further characterized by high permeabilities and a measurable content of opal-C, a hydrated form of silicon dioxide.

A diatomite product and method of using such is disclosed. The diatomite product may comprise sodium flux-calcined diatomite, wherein the diatomite product has a crystalline silica content of less than about 1 wt %, and the diatomite product has a permeability between 0.8 darcy and about 30 darcy. In some embodiments, the diatomite product may be in particulate or powdered form. This disclosure also concerns flux-calcined silica products containing low or non-detectable levels of crystalline silica. Some of these products can be further characterized by high permeabilities and a measurable content of opal-C, a hydrated form of silicon dioxide.