Training impact on electrical properties of P3 lumbar MNs. Rin: input resistance. Rheobase: lowest intensity of current injected in MNs to elicit an action potential (AP). AP threshold: voltage measured at the foot of the AP. AP amplitude: measured between the resting membrane potential and the AP peak. AP half width: time spent by the potential > 50% of the AP maximum amplitude. AP rise time: time spent by the potential between 10% and 90% of the AP maximum amplitude. AP half decay time: time spent by the potential between the AP maximum amplitude and the 50% decreasing amplitude. ADP: after-depolarization potential.... by Camille Quilgars (21156495)

“…AP half decay time: time spent by the potential between the AP maximum amplitude and the 50% decreasing amplitude. ADP: after-depolarization potential. …”

Evaluate the significance of features across different years. by Rui Zhang (13940)

Pre-RT and post RT D-dimer levels in associated with prognostic significance. by Huriye Senay Kiziltan (22298378)

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Significant Wilcoxon test results of the Task 1 Nasa TLX data, differences between feedback ON and OFF. by Mucahit Gemici (21519313)

Joinpoint analysis of trends in the age-standardized DALYs rates of LC, LOC, and OPC from 1990 to 2021. by Mengjuan Ding (21560393)

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Joinpoint analysis of trends in the age-standardized DALYs rates of HNC, NPC, and TC from 1990 to 2021. by Mengjuan Ding (21560393)

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Flowchart of the study population. by Alejandro Rojas Chaves (20614814)

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Characteristics of participants with an asymptomatic malaria infection: Overall and by anemia status (n = 393). by Alejandro Rojas Chaves (20614814)

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Factors associated with anemia stratified by age group: By logistic regression. by Alejandro Rojas Chaves (20614814)

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Expression pattern of statistically significantly differentially expressed immune-related genes in CL patients compared to healthy volunteers. by Nasrin Masoudzadeh (20300511)

“…The red and blue colors of the bar plot represent relative significant increased or decreased expression of the genes in patients compared to healthy samples. …”

Data. by Aroon La-up (14095691)

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Receiver operating characteristic curve analyses for the prediction of hepatitis C. by Lu Han (151620)

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Exploring the correlation between systemic inflammation biomarkers and HCV infection (logarithm base 2). by Lu Han (151620)

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Threshold effect analysis of systemic inflammatory biomarkers on hepatitis C using two-piece wise linear regression. by Lu Han (151620)

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Exclusion and enrollment summary from NHANES. by Lu Han (151620)

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Demographic information and baseline population characteristics. by Lu Han (151620)

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Stratified associations between systemic inflammation biomarkers and hepatitis C (OR 95%, <i>P</i> value, LOG base 2). by Lu Han (151620)

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General addictive models demonstrate the relationship between systemic inflammatory biomarkers and anti-HCV. by Lu Han (151620)

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Comparison of systemic inflammation biomarkers in infected and uninfected populations. by Lu Han (151620)

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Average % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for brown non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked. by Indrani Bera (804948)

“…<p>Average % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for brown non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked.…”