Abstract: In some embodiments, the present disclosure relates to a semiconductor device comprising a source and drain region arranged within a substrate. A conductive gate is disposed over a doped region of the substrate. A gate dielectric layer is disposed between the source region and the drain region and separates the conductive gate from the doped region. A bottommost surface of the gate dielectric layer is below a topmost surface of the substrate. First and second sidewall spacers are arranged along first and second sides of the conductive gate, respectively. An inner portion of the first sidewall spacer and an inner portion of the second sidewall spacer respectively cover a first and second top surface of the gate dielectric layer. A drain extension region and a source extension region respectively separate the drain region and the source region from the gate dielectric layer.

Abstract: Semiconductor structures and methods for manufacturing the same are provided. The semiconductor structure includes channel structures vertically stacked over a substrate and a source/drain structure laterally attached to the channel structures in the first direction. The semiconductor structure also includes a dielectric wall structure laterally attached to the channel structures in the second direction. The second direction is different from the first direction. In addition, the dielectric wall structure includes a bottom portion and a cap layer formed over the bottom portion. The semiconductor structure also includes an isolation feature vertically overlapping the cap layer of the dielectric wall structure and a gate structure formed around the channel structures and covering a sidewall of the isolation feature.

Abstract: An acute kidney injury predicting system and a method thereof are proposed. A processor reads the data to be tested, the detection data, the machine learning algorithm and the risk probability comparison table from a main memory. The processor trains the detection data according to the machine learning algorithm to generate an acute kidney injury prediction model, and inputs the data to be tested into the acute kidney injury prediction model to generate an acute kidney injury characteristic risk probability and a data sequence table. The data sequence table lists the data to be tested in sequence according to a proportion of each of the data to be tested in the acute kidney injury characteristics. The processor selects one of the medical treatment data from the risk probability comparison table according to the acute kidney injury characteristic risk probability.

Abstract: An approach is provided for decreasing infection risk and simplifying operation while wearing a contact lens. A contact lens blister package comprises a body. The body has an opening and an inner space where the contact lens is housed. The contact lens has a convex surface that is corresponded to the body opposite from the opening, so that the contact lens is pushed forward to the opening by a finger and the body is turned inside out and transformed to form a protective sheath that is temporarily worn on the finger as the contact lens is placed onto the wearer's eye.

Abstract: An approach is provided for decreasing infection risk and simplifying operation while wearing a contact lens. A contact lens blister package comprises a body. The body has an opening and an inner space where the contact lens is housed. The contact lens has a convex surface that is corresponded to the body opposite from the opening, so that the contact lens is pushed forward to the opening by a finger and the body is turned inside out and transformed to form a protective sheath that is temporarily worn on the finger as the contact lens is placed onto the wearer's eye.