Abstract: A substrate processing apparatus includes a processing chamber; a susceptor provided in the processing chamber, wherein the susceptor is configured to support a substrate; a first plasma generator disposed on one side of the processing chamber; and a second plasma generator disposed on another side of the processing chamber, wherein the second plasma generator is configured to generate plasma by simultaneously supplying a sinusoidal wave signal and a non-sinusoidal wave signal to the susceptor. By using a substrate processing apparatus, a signal source device, and a method of processing a material layer according to the inventive concept, a smooth etched surface may be obtained for a crystalline material layer without a risk of device damage by RDC.

Abstract: A substrate processing apparatus includes a processing chamber; a susceptor provided in the processing chamber, wherein the susceptor is configured to support a substrate; a first plasma generator disposed on one side of the processing chamber; and a second plasma generator disposed on another side of the processing chamber, wherein the second plasma generator is configured to generate plasma by simultaneously supplying a sinusoidal wave signal and a non-sinusoidal wave signal to the susceptor. By using a substrate processing apparatus, a signal source device, and a method of processing a material layer according to the inventive concept, a smooth etched surface may be obtained for a crystalline material layer without a risk of device damage by RDC.

Abstract: Provided are a method for predicting a mortality risk or a sepsis risk, implemented by a processor, to predict an emergency situation, and a device using the same. The method for predicting a mortality risk or a sepsis risk includes: receiving biological signal data for a subject from a biological signal prediction device; generating a risk sequence for the subject based on the biological signal data, by using a risk sequence generation model configured to generate a risk sequence based on the biological signal data; and predicting a risk for the subject based on the risk sequence.

Abstract: A substrate processing apparatus includes a processing chamber; a susceptor provided in the processing chamber, wherein the susceptor is configured to support a substrate; a first plasma generator disposed on one side of the processing chamber; and a second plasma generator disposed on another side of the processing chamber, wherein the second plasma generator is configured to generate plasma by simultaneously supplying a sinusoidal wave signal and a non-sinusoidal wave signal to the susceptor. By using a substrate processing apparatus, a signal source device, and a method of processing a material layer according to the inventive concept, a smooth etched surface may be obtained for a crystalline material layer without a risk of device damage by RDC.

Abstract: A maskless exposure apparatus which precisely and rapidly measures positions of spot beams of a plurality of optical systems by calculating positions of respective BMSs using a plurality of FMs engraved on an FBA on a movable table. The centers of the respective BMSs are aligned with the centers of random FMs of the plurality of FMs. Thereafter, positions of spot beams irradiated from the plurality of optical systems are quickly and precisely measured using the positions of the respective BMSs and the positions of the FMs measured by the BMSs, thereby more quickly generating mask data to execute maskless exposures.

Abstract: A maskless exposure apparatus which precisely and rapidly measures positions of spot beams of a plurality of optical systems by calculating positions of respective BMSs using a plurality of FMs engraved on an FBA on a movable table. The centers of the respective BMSs are aligned with the centers of random FMs of the plurality of FMs. Thereafter, positions of spot beams irradiated from the plurality of optical systems are quickly and precisely measured using the positions of the respective BMSs and the positions of the FMs measured by the BMSs, thereby more quickly generating mask data to execute maskless exposures.