Optimized Gas–Liquid Transport via Local Flow Field Management for Efficient Overall Water Splitting by Yingjie Ji (4797516)

“…By incorporating a hydrophobic and gas-venting layer, our design significantly shortens the bubble transfer path and reduces the level of accumulation. …”

Optimized Gas–Liquid Transport via Local Flow Field Management for Efficient Overall Water Splitting by Yingjie Ji (4797516)

“…By incorporating a hydrophobic and gas-venting layer, our design significantly shortens the bubble transfer path and reduces the level of accumulation. …”

Optimized Gas–Liquid Transport via Local Flow Field Management for Efficient Overall Water Splitting by Yingjie Ji (4797516)

“…By incorporating a hydrophobic and gas-venting layer, our design significantly shortens the bubble transfer path and reduces the level of accumulation. …”

Improving Accuracy and Transferability of Machine Learning Chemical Activation Energies by Adding Electronic Structure Information by Esteban Marques (14713002)

“…Recent advances have shown that machine learning can be used to create tools to predict them. Such tools can significantly decrease the computational cost for these predictions compared to traditional methods, which require an optimal path search along a high-dimensional potential energy surface. …”

Table1_PNNGS, a multi-convolutional parallel neural network for genomic selection.xlsx by Zhengchao Xie (13961892)

“…To improve the GS prediction accuracy and stability, we introduce parallel convolution to deep learning for GS and call it a parallel neural network for genomic selection (PNNGS). …”

Statistical data. by Bo Yang (104813)

“…At the county scale, Diebu County in the southeast (0.82) and Maqu County in the northwest (0.31) form a polar contrast; the differences in township scales are more significant, and Chagang Township in the Zhouqu County (0.89) and Yuzhong Street in the Hezuo city (0.18) respectively represent the optimal and worst habitat units. (2) Tourism development presents a “core-transition- marginal” circle structure, Xiahe, Hezuo and other northern counties and cities to form the core of the development of factor concentration (kernel density value > 3.5), Luqu County for the transition zone, Maqu County is in the development of the marginal area. (3) Analysis of geodetector shows that topographic factors (elevation <i>q </i>= 0.62, slope <i>q</i> = 0.58) dominate the natural background distinction, while tourism factors (<i>q</i> = 0.71) become the primary man-made driving force in the core development area. …”

Sensitivity of land types to threat factors. by Bo Yang (104813)

“…At the county scale, Diebu County in the southeast (0.82) and Maqu County in the northwest (0.31) form a polar contrast; the differences in township scales are more significant, and Chagang Township in the Zhouqu County (0.89) and Yuzhong Street in the Hezuo city (0.18) respectively represent the optimal and worst habitat units. (2) Tourism development presents a “core-transition- marginal” circle structure, Xiahe, Hezuo and other northern counties and cities to form the core of the development of factor concentration (kernel density value > 3.5), Luqu County for the transition zone, Maqu County is in the development of the marginal area. (3) Analysis of geodetector shows that topographic factors (elevation <i>q </i>= 0.62, slope <i>q</i> = 0.58) dominate the natural background distinction, while tourism factors (<i>q</i> = 0.71) become the primary man-made driving force in the core development area. …”

Data_Sheet_1_Aberrant brain topological organization and granger causality connectivity in Parkinson’s disease with impulse control disorders.docx by Caiting Gan (13186425)

“…We hypothesized that the aberrant reward and motor inhibition circuit could play a crucial role in the emergence of ICDs.…”