Abstract: A substrate includes a dielectric structure, a conductive layer, a first hole and a second hole. The conductive layer is stacked on the dielectric structure. The first hole extends from a top surface of the conductive layer and exposes the dielectric structure. The second hole is spaced apart from the first hole, extends from the top surface of the conductive layer and exposes the dielectric structure. A first depth of the first hole is substantially equal to a second depth of the second hole. An elevation of a topmost end of the first hole is different from an elevation of a topmost end of the second hole.

Abstract: A metabolic enzyme-induced micro-nano plastic particle biodegradation method and a product analysis method therefor are disclosed. The biodegradation method includes the following steps: step (1), cutting an appropriate quantity of plastic products into small pieces; step (2), placing the plastic products in a ball mill tank and milling the plastic products in vacuum in a ball mill; step (3), weighing and dispersing the milled plastic sample with water to prepare a dispersion with a concentration; step (4), mixing the micro-nano plastic dispersion with a metabolic enzyme solution, and placing the mixed solution in a vortex oscillator for mixing well; and step (5), incubating the mixed solution in a waterproof incubator. The present invention provides for the first time a method for biodegradation and metabolism of micro-nano plastics under mild conditions and under the induction of a metabolic enzyme, namely, glutathione S-transferase.

Abstract: This disclosure is directed to solutions of detecting and classifying wafer defects using machine learning techniques. The solutions take only one coarse resolution digital microscope image of a target wafer, and use machine learning techniques to process the coarse SEM image to review and classify a defect on the target wafer. Because only one coarse SEM image of the wafer is needed, the defect review and classification throughput and efficiency are improved. Further, the techniques are not distractive and may be integrated with other defect detecting and classification techniques.

Abstract: A metabolic enzyme-induced micro-nano plastic particle biodegradation method and a product analysis method therefor are disclosed. The biodegradation method includes the following steps: step (1), cutting an appropriate quantity of plastic products into small pieces; step (2), placing the plastic products in a ball mill tank and milling the plastic products in vacuum in a ball mill; step (3), weighing and dispersing the milled plastic sample with water to prepare a dispersion with a concentration; step (4), mixing the micro-nano plastic dispersion with a metabolic enzyme solution, and placing the mixed solution in a vortex oscillator for mixing well; and step (5), incubating the mixed solution in a waterproof incubator. The present invention provides for the first time a method for biodegradation and metabolism of micro-nano plastics under mild conditions and under the induction of a metabolic enzyme, namely, glutathione S-transferase.