Baseline characteristics of the study population. by Hanbin Wu (14016246)

“…Among underweight women, preconception hypoglycemia was associated with a lower risk of medical abortion, miscarriage or early stillbirth, LGA, and PID, while overweight women had a lower risk of macrosomia and LGA. …”

<i>TcPiezo-CKO</i> responses to hypoosmotic stress. by Guozhong Huang (673424)

“…(D) Tet-induced <i>TcPiezo2 Tet-OFF</i> cells (+Tet) had a significant decrease of intracellular Ca²⁺ rise, compared to non-induced cells (-Tet). 100 µ M EGTA was added to remove extracellular Ca^2<i>+</i>, abolishing Ca²⁺ entry, as indicated. …”

Absolute β convergence results. by Ke Liu (121889)

“…Compared with metropolitan agglomerations such as Nanjing, Wuhan, Fuzhou, Changsha-Zhuzhou-Xiangtan, Chongqing, and Chengdu, the Xi’an metropolitan agglomeration had a lower population agglomeration level, with a significant gap. …”

Conditional β convergence results. by Ke Liu (121889)

“…Compared with metropolitan agglomerations such as Nanjing, Wuhan, Fuzhou, Changsha-Zhuzhou-Xiangtan, Chongqing, and Chengdu, the Xi’an metropolitan agglomeration had a lower population agglomeration level, with a significant gap. …”

Markov transition probability matrix (k = 4). by Ke Liu (121889)

“…Compared with metropolitan agglomerations such as Nanjing, Wuhan, Fuzhou, Changsha-Zhuzhou-Xiangtan, Chongqing, and Chengdu, the Xi’an metropolitan agglomeration had a lower population agglomeration level, with a significant gap. …”

Markov transition probability matrix (k = 4). by Ke Liu (121889)

“…Compared with metropolitan agglomerations such as Nanjing, Wuhan, Fuzhou, Changsha-Zhuzhou-Xiangtan, Chongqing, and Chengdu, the Xi’an metropolitan agglomeration had a lower population agglomeration level, with a significant gap. …”

Regression results. by Ke Liu (121889)

“…Compared with metropolitan agglomerations such as Nanjing, Wuhan, Fuzhou, Changsha-Zhuzhou-Xiangtan, Chongqing, and Chengdu, the Xi’an metropolitan agglomeration had a lower population agglomeration level, with a significant gap. …”

S1 Graphical abstract - by Hai Nguyen Ngoc Dang (19200560)

“…Aortic strain (AS) was substantially lower in the T2DM group than in the control group, with median values of 8.21% (4.24–13.07) and 10.66% (6.01–18.23), respectively (p = 0.039). …”

The <i>ENT2</i> knockout effects on CRC proliferation and survival. by Safaa M. Naes (22075434)

“…<p>(A) Cell viability of HT29/KO as measured by the MTT assay. It was significantly lower in both HKO1 and HKO2 than in the control NTC (B) Cell viability of DLD1/KO with no significant difference between the DKO clone and NTC cells. …”

Reversible Adsorption and Interfacial Photoisomerization of Azobenzene Surfactants Studied by QCM by Maren Umlandt (9638121)

“…Using quartz crystal microbalance (QCM) measurements, we show that the interfacial mass change is governed by the isomeric composition in the bulk solution: the <i>trans</i> isomer exhibits strong adsorption, while the <i>cis</i> isomer is significantly less surface-active. We further quantify the photoisomerization kinetics at the interface, revealing that the isomerization rate constant decreases with a lower <i>trans</i> isomer concentration due to a transition from a diffuse multilayer to a confined double-layer structure. …”

Evidence of the Giant Barocaloric Effect in the PVA-Slime System by Molecular Dynamics Simulations by Richard Javier Caraballo-Vivas (22113727)

“…This, combined with the applied simulated pressure, decreases the mobility of the polymer chains, lowering their kinetic energy while favoring potential energy. …”

Evidence of the Giant Barocaloric Effect in the PVA-Slime System by Molecular Dynamics Simulations by Richard Javier Caraballo-Vivas (22113727)

“…This, combined with the applied simulated pressure, decreases the mobility of the polymer chains, lowering their kinetic energy while favoring potential energy. …”

PERCOM, an unbiased and easily-accessible protein-centric analysis workflow. by Brian Foo (19273132)

Alternative representation of daunorubicin fluorescence testing of novel inhibitors. by Lauren A. McCormick (20540638)

The results of curve fitting analysis. by Hai-bo Ai (20790405)

The overall framework of CARAFE. by Zhongjian Xie (4633099)

“…Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. Finally, the experiment significantly enhanced the efficiency of feature extraction and the detection accuracy of the model algorithm through the integration of the Dynamic Head (DyHead) module, the Content-Aware Re-Assembly of Features (CARAFE) module, and the incorporation of knowledge distillation techniques. …”

KPD-YOLOv7-GD network structure diagram. by Zhongjian Xie (4633099)

“…Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. Finally, the experiment significantly enhanced the efficiency of feature extraction and the detection accuracy of the model algorithm through the integration of the Dynamic Head (DyHead) module, the Content-Aware Re-Assembly of Features (CARAFE) module, and the incorporation of knowledge distillation techniques. …”

Comparison experiment of accuracy improvement. by Zhongjian Xie (4633099)

“…Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. Finally, the experiment significantly enhanced the efficiency of feature extraction and the detection accuracy of the model algorithm through the integration of the Dynamic Head (DyHead) module, the Content-Aware Re-Assembly of Features (CARAFE) module, and the incorporation of knowledge distillation techniques. …”

Comparison of different pruning rates. by Zhongjian Xie (4633099)

“…Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. Finally, the experiment significantly enhanced the efficiency of feature extraction and the detection accuracy of the model algorithm through the integration of the Dynamic Head (DyHead) module, the Content-Aware Re-Assembly of Features (CARAFE) module, and the incorporation of knowledge distillation techniques. …”

Comparison of experimental results at ablation. by Zhongjian Xie (4633099)

“…Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. Finally, the experiment significantly enhanced the efficiency of feature extraction and the detection accuracy of the model algorithm through the integration of the Dynamic Head (DyHead) module, the Content-Aware Re-Assembly of Features (CARAFE) module, and the incorporation of knowledge distillation techniques. …”