Abstract: The present application discloses a new light bulb structure, which relates to the field of lighting equipment, comprising a wick, which comprises a light bar, an upper end of the light bar is provided with positive and negative poles, and the positive and negative poles are connected to the lamp cap, the positive and negative poles are provided with a protection resistor, an outer surface of the protection resistor is provided with a resistor housing, and the resistor housing is fixed in a center slot of the fixing seat, the fixing seat is connected to an inner buckle of a joint of the lamp body, and an outer surface of the joint of the lamp body is connected to the lamp cap.

Abstract: A processor includes at least one socket and at least one memory. Each socket includes a first die and a second die. The first die receives a boot-enable signal and an internal boot-enable signal to execute a boot procedure, and outputs a boot-completion signal after completing the boot procedure. The second die receives the internal boot-enable signal and the boot-completion signal from the first die to execute the boot procedure. The second die is electrically connected to the first die through a communication bus. The memory is electrically connected to the second die. When the first die executes the boot procedure, the first die accesses the memory through the communication bus and the second die.

Abstract: A deformable structure includes a first deformable layer, and a material of the first deformable layer includes a deformable material. The deformable material includes a plurality of sheet structures that are stacked, and each sheet structure includes a plurality of aldolases. A molecular model of an aldolase is equivalent to a square on a plane where the sheet structure is located, and the aldolase has amino acid residues at each of four corners thereof. In one sheet structure, amino acid residues at four corners of each aldolase are connected to amino acid residues of four aldolases around the aldolase through four disulfide bonds, respectively. In two adjacent sheet structures, amino acid residues of two adjacent aldolases are connected through at least one disulfide bond.

Abstract: Provided is a cushion, including a cushion body, a first antislip film and a second antislip film, wherein a first surface of the first antislip film is connected to a first surface of the cushion body; a first surface of the second antislip film is connected to a second surface of the cushion body; the first surface of the cushion body is opposite to the second surface of the cushion body; and a second surface of the first antislip film and a second surface of the second antislip film are configured to respectively abut surfaces of two objects spaced apart by the cushion. A transportation protective device is also provided.

Abstract: A deformable structure includes a first deformable layer, and a material of the first deformable layer includes a deformable material. The deformable material includes a plurality of sheet structures that are stacked, and each sheet structure includes a plurality of aldolases. A molecular model of an aldolase is equivalent to a square on a plane where the sheet structure is located, and the aldolase has amino acid residues at each of four corners thereof. In one sheet structure, amino acid residues at four corners of each aldolase are connected to amino acid residues of four aldolases around the aldolase through four disulfide bonds, respectively. In two adjacent sheet structures, amino acid residues of two adjacent aldolases are connected through at least one disulfide bond.

Abstract: Systems and methods are provided that can predict a likelihood of post-resection colon cancer recurrence. The systems and methods can be implemented by a computing device that includes a non-transitory computer readable storage medium storing machine executable instructions and a processor that executes the machine executable instructions. Upon execution of the machine executable instructions, a feature extractor can be configured to determine a morphological feature from an image of resected tumor tissue. Upon execution of the machine executable instructions, a scorer can be configured to determine a risk score that indicates the likelihood of post-resection colon cancer recurrence based on the morphological feature. The risk score can be displayed on a user interface in a human comprehensible form.