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

“…However, the effect of reduced SSC on Chl-a is poorly studied. Here, we compared and analyzed the distribution conditions of Chl-a in 6 representative years for both before the implementation of Three Gorges Dam (TGD) (BIT) and after the implementation of TGD (AIT), using the TM/OLI data and NIR-red inversion model. …”

The ROC curves and AUC values of the diagnostic model. by Zhe Wu (582498)

We define the term “inhibitory reduction prowess” (IRP) as the percentage by which the product formation rate is reduced by from the initial point before inhibitor is introduced to... by J. Roadnight Sheehan (20141887)

Image 1_Chromosome 1 variants associated with decreased HIV set-point viral load correlate with PRKAB2 expression changes.png by Riley H. Tough (14432838)

Development of a CRISPR/Cas-Based Detection Platform for Tracking Decreased Susceptibility to Cephalosporins in Neisseria gonorrheae by Ziyuan Zhao (2889005)

“…Developing efficient and accurate detection of resistant strains is urgently needed for their management and treatment. We have developed the Multiplex Integrated RPA-CRISPR/Cas12a detection Assay (MIRCA) for simultaneous detection of Neisseria gonorrheae (<i>Ng</i>) and mutations with decreased susceptibility to cephalosporins. …”

ROC curve and AUC value of all models. by Tiago de Oliveira Barreto (20485207)

“…As for Specificity (82.94%) and ROC-AUC (82.13%), the Multilayer Perceptron with SGD optimizer obtained the highest scores. …”

All data points from Fig 2. by Sara Hijazi (21656615)

“…Specifically, we observed that demyelination caused an impairment in the ability of PV interneurons to sustain high-frequency firing associated with a substantial decrease in Kv3-specific currents. …”

All data points from Fig 5. by Sara Hijazi (21656615)

“…Specifically, we observed that demyelination caused an impairment in the ability of PV interneurons to sustain high-frequency firing associated with a substantial decrease in Kv3-specific currents. …”

All data points from Fig 8. by Sara Hijazi (21656615)

“…Specifically, we observed that demyelination caused an impairment in the ability of PV interneurons to sustain high-frequency firing associated with a substantial decrease in Kv3-specific currents. …”

All data points from Fig 3. by Sara Hijazi (21656615)

“…Specifically, we observed that demyelination caused an impairment in the ability of PV interneurons to sustain high-frequency firing associated with a substantial decrease in Kv3-specific currents. …”

All data points from Fig 1. by Sara Hijazi (21656615)

“…Specifically, we observed that demyelination caused an impairment in the ability of PV interneurons to sustain high-frequency firing associated with a substantial decrease in Kv3-specific currents. …”

All data points from Fig 4. by Sara Hijazi (21656615)

“…Specifically, we observed that demyelination caused an impairment in the ability of PV interneurons to sustain high-frequency firing associated with a substantial decrease in Kv3-specific currents. …”

All data points from Fig 9. by Sara Hijazi (21656615)

“…Specifically, we observed that demyelination caused an impairment in the ability of PV interneurons to sustain high-frequency firing associated with a substantial decrease in Kv3-specific currents. …”

All data points from Fig 7. by Sara Hijazi (21656615)

“…Specifically, we observed that demyelination caused an impairment in the ability of PV interneurons to sustain high-frequency firing associated with a substantial decrease in Kv3-specific currents. …”

All data points from Fig 6. by Sara Hijazi (21656615)

“…Specifically, we observed that demyelination caused an impairment in the ability of PV interneurons to sustain high-frequency firing associated with a substantial decrease in Kv3-specific currents. …”

AUC statistics as calculated from simulated time series. Each statistical metric was calculated within sliding windows, throughout the pre-critical interval. We considered five-, fifteen-, and thirty-day sliding windows. Given that the temperature of the system increased to 12°C on day sixty, we also considered three pre-critical intervals: Days 1 to 60, Days 20 to 60, and Days 30 to 60. To evaluate trends in these metrics, we calculated Kendall’s rank correlation coefficient during the pre-critical interval, and compared control (constant temperature, non-epidemic) and warming (warming treatment, epidemic emergence) coefficients across simulations and experimental populations by calculating the area under the curve (AUC) statistic. Values less than 0.5 suggest that a decrease in the statistical metric indicates emergence, while values greater than 0.5 suggest that an increase in the statistical metric indicates emergence, with more extreme values indicating stronger tre by Madeline Jarvis-Cross (22394247)

“…Values less than 0.5 suggest that a decrease in the statistical metric indicates emergence, while values greater than 0.5 suggest that an increase in the statistical metric indicates emergence, with more extreme values indicating stronger tre</p>…”

Units of non-point source agricultural pollution. by Cangyu Li (10312677)

Subjects:

Image 2_Sediment exposure decreases diversity in the surface mucus layer microbiome of Porites lobata at Honoliʻi, Hawaiʻi.jpeg by Joseph W. P. Nakoa (21796214)

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)