A parametric model with 71 attributes permits a large ‘face space’. by Sawitree Wisetchat (18706518)

The distribution of <i>Giardia duodenalis</i> assemblages in domestic and wild populations of nonhuman mammalian species with a larger number of isolates. by Kareem Hatam-Nahavandi (7384790)

Coordinated degree from 2016 to 2021. by Peijiong Feng (17020939)

“…Conclusions include: (1) a downward trend is shown from 2016 to 2021 for the coordinated degree, along with the Pearl River Delta is the best among the five agglomerations; (2) the Middle reaches of the Yangtze River is the highest, followed by the Pearl River Delta and the Yangtze River Delta of coordinated degree in 2021; (3) the main cause of downwards in coordinated degree combined by a stable decline in carbon emissions and fluctuating increase in pollutants; (4) intra-regional differences in the Yangtze River Delta and the Middle reaches of the Yangtze River are relatively large, compared with the smallest in the Pearl River Delta measured by Theil Index; (5) coefficients of variation are relatively higher in the Middle reaches of the Yangtze River and the Yangtze River Delta, followed by the Beijing-Tianjin-Hebei, the Pearl River Delta and Sichuan-Chongqing urban. …”

We calculate the number of Dominant Architectures (DA in the main text) that map to a single MC (degree = 1) and of those that instead map to multiple MCs (degree = 2, 3, etc.) (y... by Elena Tea Russo (6565166)

Infections, detected infections, and undetected infections as a function of degree <i>k</i> for different contact tracing strategies. by Jungyeol Kim (16542079)

Comparison of different smoothing methods based on three metrics: value deviation, angle distortion, and number of flipped triangles with a large amount of noise (PSNR = 5). by Yanshuai Tu (11218684)

Fourteen SNPs identified as a cluster using noise-augmented clustering approach for our <i>cis</i>IL6R instrument. by Fergus W. Hamilton (10724401)

Example epidemic curves for different values of the degree of segregation, <i>x</i>. by Joseph Hickey (6274097)

Large eccentric compression model. by Lidong Zhao (580657)

MR estimates generated using the 14 SNPs identified as a cluster by noise-adjusted clustering of our <i>cis</i>IL6R instrument. by Fergus W. Hamilton (10724401)

Image_1_Degree of stemness predicts micro-environmental response and clinical outcomes of diffuse large B-cell lymphoma and identifies a potential targeted therapy.eps by Fang Hu (476414)

“…<p>Some cells within a diffuse large B-cell lymphoma (DLBCL) have the genotype of a stem cell, the proportion of which is termed degree of stemness. …”

Table_1_Degree of stemness predicts micro-environmental response and clinical outcomes of diffuse large B-cell lymphoma and identifies a potential targeted therapy.docx by Fang Hu (476414)

“…<p>Some cells within a diffuse large B-cell lymphoma (DLBCL) have the genotype of a stem cell, the proportion of which is termed degree of stemness. …”

Results on the trimmed datasets with a decreasing number of papers per author available for training and testing. by Leonard Bauersfeld (16475015)

Distribution of degrees <i>k</i> in synthetic contact network with 97,942 nodes. by Tapio Schneider (12914905)

Extraction efficiency of a larger volume of specimen, 400 μl specimen input Cp and 200 μl specimen input Cp. by Ana Cabrera (266933)

Nanofibrous Actuator with an Alignment Gradient for Millisecond-Responsive, Multidirectional, Multimodal, and Multidimensional Large Deformation by Juanrong Qin (9437568)

“…Owing to its different contraction gradient amplitudes along the thickness direction and the unique physical property of the nanofibrous material, the prepared actuator exhibits excellent shape deformation performance, including superfast response (less than 150 ms), controllable deformation directions, multiple actuation models, multiple dimensional deformation (0D–3D, 1D–3D, 2D–3D, and 3D–3D), large bending curvature (25.3 cm^–1), and a repeatability rate of at least 1000. …”

Nanofibrous Actuator with an Alignment Gradient for Millisecond-Responsive, Multidirectional, Multimodal, and Multidimensional Large Deformation by Juanrong Qin (9437568)

“…Owing to its different contraction gradient amplitudes along the thickness direction and the unique physical property of the nanofibrous material, the prepared actuator exhibits excellent shape deformation performance, including superfast response (less than 150 ms), controllable deformation directions, multiple actuation models, multiple dimensional deformation (0D–3D, 1D–3D, 2D–3D, and 3D–3D), large bending curvature (25.3 cm^–1), and a repeatability rate of at least 1000. …”

Nanofibrous Actuator with an Alignment Gradient for Millisecond-Responsive, Multidirectional, Multimodal, and Multidimensional Large Deformation by Juanrong Qin (9437568)

“…Owing to its different contraction gradient amplitudes along the thickness direction and the unique physical property of the nanofibrous material, the prepared actuator exhibits excellent shape deformation performance, including superfast response (less than 150 ms), controllable deformation directions, multiple actuation models, multiple dimensional deformation (0D–3D, 1D–3D, 2D–3D, and 3D–3D), large bending curvature (25.3 cm^–1), and a repeatability rate of at least 1000. …”

Nanofibrous Actuator with an Alignment Gradient for Millisecond-Responsive, Multidirectional, Multimodal, and Multidimensional Large Deformation by Juanrong Qin (9437568)

“…Owing to its different contraction gradient amplitudes along the thickness direction and the unique physical property of the nanofibrous material, the prepared actuator exhibits excellent shape deformation performance, including superfast response (less than 150 ms), controllable deformation directions, multiple actuation models, multiple dimensional deformation (0D–3D, 1D–3D, 2D–3D, and 3D–3D), large bending curvature (25.3 cm^–1), and a repeatability rate of at least 1000. …”

Nanofibrous Actuator with an Alignment Gradient for Millisecond-Responsive, Multidirectional, Multimodal, and Multidimensional Large Deformation by Juanrong Qin (9437568)

“…Owing to its different contraction gradient amplitudes along the thickness direction and the unique physical property of the nanofibrous material, the prepared actuator exhibits excellent shape deformation performance, including superfast response (less than 150 ms), controllable deformation directions, multiple actuation models, multiple dimensional deformation (0D–3D, 1D–3D, 2D–3D, and 3D–3D), large bending curvature (25.3 cm^–1), and a repeatability rate of at least 1000. …”