Abstract: The disclosed data transmission circuit and a memory include a sense amplifier circuit, a first sub-discharge path, a second sub-discharge path, and a discharge adjustment unit. The sense amplifier circuit generate amplified signals based on two terminals. The first sub-discharge path, in the read state, discharges at the first terminal to the discharge terminal based on the first data line signal; the second sub-discharge path, in reading state, discharges at the second terminal to the discharge terminal based on the discharge adjustment signa. The discharge adjustment unit is electrically connected to the second sub-discharge path and the control signal, but is not connected to the first sub-discharge path, and is used for generating the discharge adjustment signal based on the control signal, to adjust the discharge capacity of the second sub-discharge path. The present disclosure improves the anti-interference ability and data transmission efficiency of the data transmission circuit.

Abstract: Disclosed is an optimal power flow acquiring method for regional distribution network of small hydropower groups based on deep learning, which specifically includes the following steps: generating required data sets by adopting continuous power flow and power flow equation calculation methods; the data set is randomly divided into training data (80 percent) and test data (20 percent); training the built convolutional neural network model with training data to learn the mapping relationship between load and generator output power; inputting test data, and directly obtaining PG and QG from the trained convolutional neural network; and solving residual variables Vi and ?i with traditional power flow solver. The application can accelerate the solving speed of the optimal power flow problem with higher prediction accuracy.

Abstract: The present disclosure provides, in part, a microfluidic apparatus for detecting target molecules. More specifically, the present disclosure relates to a protein microarray-integrated microfluidic system for detecting target molecules.

Abstract: The present disclosure provides, in part, a microfluidic apparatus for detecting target molecules. More specifically, the present disclosure relates to a protein microarray-integrated microfluidic system for detecting target molecules.

Abstract: Provided are methods of culturing cancer stem cells in vitro, where the cancer stem cells have been obtained from the peripheral blood of a patient, and methods of using the cultured cancer stem cells in a xenograft model of cancer and for in vivo and in vitro screening of test compounds. Also provided is an enriched population of cancer stem cells obtained from the peripheral blood of a patient.