TITAN decreaser diatom heatmap. by Brent J. Bellinger (21156150)

TITAN decreaser macroinvertebrate heatmap Heatmap of sensitive (i.e., <i>z-</i>) macroinvertebrate taxa (y-axis) to at least one of the five stressors, in decreasing order of numbe... by Brent J. Bellinger (21156150)

Explanation of condition nodes and decision nodes in the SCM, ordered by decreasing centrality. by Stella D. Juventia (19961247)

HSF2 reduced the decrease in the MMP in Caco-2 cells, which were observed by laser confocal microscopy. by Wen Wang (6570)

“…Red fluorescence indicated that there was no obvious abnormality in the MMP, while green fluorescence represented a decrease in the MMP. B: Statistical bar chart of the ratio of red to green fluorescence, <i>P</i> value of less than 0.05 was identified as* and <i>P</i> value of less than 0.01 was identified as**. …”

Mean values and 95% confidence intervals for recovery time, Average NN Interval (AVNN); Standard Deviation of NN Intervals (SDNN), Low Frequency/ High Frequency Ratio (LF/HF); and... by Robert Trybulski (10998702)

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TITAN increaser macroinvertebrate heatmap Heatmap of tolerant (i.e., <i>z</i>+) macroinvertebrate taxa (y-axis) to at least one of the five stressors, in decreasing order of number... by Brent J. Bellinger (21156150)

Mean values of physical parameters of rock samples. by Dengke Yang (842532)

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S2 File - Factors influencing effective decrease of controlled attenuation parameters in metabolic-associated steatotic liver disease: A multilevel linear regression analysis at Va... by Sonsawan Sangprasert (22772538)

Input parameter ranking for discrete measurements: Each column displays parameters (P) and their influence values (E) calculated using Eq 11, shown in decreasing order of influence. Results are presented for progressively expanding discrete measurement sets (from Set 1 to Set 3F). Only parameters with influence values greater than 0.01 are shown. by Harry Saxton (19165441)

“…Only parameters with influence values greater than 0.01 are shown.</p>…”

Calculation of peak force and impulse values from trial with overlap. by Leena Inkilä (20614460)

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Calculation of peak force and impulse values from force plate data. by Leena Inkilä (20614460)

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Changes in blood pressure, HbA1c, blood lipid and liver function-related indicator values compared with baseline values in all patients over time. by Jia Song (495396)

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TITAN thresholds and percentile estimates for benthic macroinvertebrate and diatom communities deemed to be sensitive decreasers or tolerant increasers. The thresholds represent the largest fsum <i>z</i> value in the main data analysis run (i.e., the median), whereas the 5^th and 95^th percentile change points are determined from 500 bootstrap replicate runs. Sensitive taxa change points derived from decreaser sum <i>z</i>- relative to increasing impervious cover (I.C.; %), specific conductivity (SpCond; μS cm^-1), total nitrogen (TN; μg L^-1), and total phosphorus (TP; μg L^-1). Tolerant taxa change point derived from increaser sum <i>z</i>+ value. Flow permanence responses are opposite those of other stressors such that increasers are sensitive to decreasing FPI.... by Brent J. Bellinger (21156150)

“…Tolerant taxa change point derived from increaser sum <i>z</i>+ value. Flow permanence responses are opposite those of other stressors such that increasers are sensitive to decreasing FPI. …”

Changes in inflammatory cytokine levels compared with baseline values in all patients over time. by Jia Song (495396)

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Data values for figures. by Fermin E. Guerra (6084545)

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Changes in the UACR and urinary β2-MG levels compared with baseline values over time. by Jia Song (495396)

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Changes in the eGFRs and serum potassium levels compared with baseline values in all patients over time. by Jia Song (495396)

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Femur length anomalies tend to decrease with later phenology (greater day of year of adulthood anomaly) regardless of elevation or species’ seasonal timing. by César R. Nufio (11646271)

Analysis of tea output value distribution and growth- decrease rate of provinces. by Kun Qin (177235)

Results obtained from different regression models along with their respective AIC values. by Farzana Afroz (20700794)

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