Image 3_Sediment exposure decreases diversity in the surface mucus layer microbiome of Porites lobata at Honoliʻi, Hawaiʻi.jpeg by Joseph W. P. Nakoa (21796214)

Image 1_Sediment exposure decreases diversity in the surface mucus layer microbiome of Porites lobata at Honoliʻi, Hawaiʻi.jpeg by Joseph W. P. Nakoa (21796214)

Table 1_Sediment exposure decreases diversity in the surface mucus layer microbiome of Porites lobata at Honoliʻi, Hawaiʻi.xlsx by Joseph W. P. Nakoa (21796214)

Contribution of the through-mask leakages from the cavity and channel network distributed along the periphery of the mask; a–c and d–f are decreasing porosity <i>c</i><sub><i>k</i>... by Akshay Anand (118579)

Table 1_Effect of decreased suspended sediment content on chlorophyll-a in Dongting Lake, China.docx by Le Zhang (88249)

“…The reduction in SSC may influence chlorophyll-a (Chl-a) concentrations in water, thereby further affecting the aquatic ecological environment. …”

The volume of the right (red) and left (blue) IC are shown as a function of age on a logarithmic scale. by Pingling Kwok (14896191)

Data from: Colony losses of stingless bees increase in agricultural areas, but decrease in forested areas by Malena Sibaja Leyton (18400983)

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)

The reduced virulence of Δalta1 mutants is not primarily due to a decrease in growth. by Shuhuan Zhang (748003)

A layer structure for solving the model. by Zulqurnain Sabir (12269556)

“…</p><p>Method</p><p>A Runge-Kutta solver is applied to collect the dataset, which decreases the mean square error by dividing into training as 78%, testing 12% and verification 10%. …”

A structure of single hidden layers. by Zulqurnain Sabir (12269556)

“…</p><p>Method</p><p>A Runge-Kutta solver is applied to collect the dataset, which decreases the mean square error by dividing into training as 78%, testing 12% and verification 10%. …”

Innovation and night light in large and small cities. by Saul Estrin (8629173)

Geographical distribution of large cities and small cities. by Saul Estrin (8629173)

“…The Figure reveals two patterns: 1) the maximum level of innovation is higher in large cities (2.53) than in small cities (2.02); 2) among large cities in <b>a</b>, innovation levels in general decrease with nightlight density. …”

Incorporating a social responsibility goal in the prompt causes overleverage in utilities (A) and decreases risk of low ESG rating (B) (Study 3). by Philipp Winder (21615570)

Mean, confidence intervals (95%) and observed difference for each factor. by Nelyane N. M. Santana (5217074)

Ablation experiment for the micro-localization algorithm model. by Zhongjian Xie (4633099)

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Distribution of scaling factor γ after 100 rounds of sparsity training with different sparsity rates λ. by Zhongjian Xie (4633099)

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Comparative experiment of different YOLOv5 versions. by Zhongjian Xie (4633099)

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Comparison result of different detection algorithms. by Zhongjian Xie (4633099)

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Model performance with different sparsity rates. by Zhongjian Xie (4633099)

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