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)

Comparison of environmental perception time results at different learning rates. by Wenhui Wang (34265)

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RMSE versus learning rate. by Zhe Hu (787283)

“…Field experiments demonstrate that the predicted values from the LSTM model closely align with the measured values, maintaining short-term shape error prediction accuracy within 3 mm. …”

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)

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)

Average Heart Rate across pre-interview, interview and post-interview phases for High and Low Clarity and Authority groups: Heart Rate (HR) increases from pre-interview to intervie... by David Vagni (8060432)

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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)

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.... by Harry Saxton (19165441)

“…<p>Input parameter ranking for discrete measurements: Each column displays parameters (P) and their influence values (E) calculated using <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0326112#pone.0326112.e114" target="_blank">Eq 11</a>, shown in decreasing order of influence. …”

Sensor value scenario for average value algorithm. by Gourab Saha (8987405)

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Comparison Of Performance at Different Optimizers and Learning Rates. by Mudhafar Jalil Jassim Ghrabat (22177655)

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

Social change: No decrease in singing rate upon first-time social isolation in the same environment. by Anja T. Zai (9225852)

Change of average Hounsfield units in target lesion for patients treated with combined hyperthermia-radiotherapy (A) and radiotherapy alone by Young Kyu Lee (14076058)

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Changes in blood pressure, HbA1c, blood lipids and liver function-related indicator values from 3 months to 6 months of treatment in all patients. by Jia Song (495396)

Average Hounsfield units of pre and post-treatment in target lesion for patients treated with combined hyperthermia-radiotherapy (A) and radiotherapy alone (B) group. by Young Kyu Lee (14076058)

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Deep learning-based locomotive syndrome prediction method. by Junichi Kushioka (12236447)

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

“…In <i>S.</i> Paratyphi A, L O-ag production is deficient due to a hypofunctional WzzB protein, but this is compensated by greater quantities of VL O-ag, which are required for serum resistance. …”

Mean parameter values for the selected crops. by Gourab Saha (8987405)

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