Basic characteristics of the included studies. by Da Huang (1306407)

“…Furthermore, there was no significant difference in the change in resting heart rate (RHR) (MD = 2.04, 95% CI: −2.71–6.78; P = 0.40) between the physical activity group and the control group, but there was a significant difference in the change in maximum heart rate (HR-max) (MD = 6.27, 95% CI: 1.75–10.97, P = 0.007). …”

The data of meta-analysis. by Da Huang (1306407)

“…Furthermore, there was no significant difference in the change in resting heart rate (RHR) (MD = 2.04, 95% CI: −2.71–6.78; P = 0.40) between the physical activity group and the control group, but there was a significant difference in the change in maximum heart rate (HR-max) (MD = 6.27, 95% CI: 1.75–10.97, P = 0.007). …”

Risk of bias. by Da Huang (1306407)

“…Furthermore, there was no significant difference in the change in resting heart rate (RHR) (MD = 2.04, 95% CI: −2.71–6.78; P = 0.40) between the physical activity group and the control group, but there was a significant difference in the change in maximum heart rate (HR-max) (MD = 6.27, 95% CI: 1.75–10.97, P = 0.007). …”

Overall risk of bias assessment. by Da Huang (1306407)

“…Furthermore, there was no significant difference in the change in resting heart rate (RHR) (MD = 2.04, 95% CI: −2.71–6.78; P = 0.40) between the physical activity group and the control group, but there was a significant difference in the change in maximum heart rate (HR-max) (MD = 6.27, 95% CI: 1.75–10.97, P = 0.007). …”

Funnel plot of VO_2Peak inclusion studies. by Da Huang (1306407)

“…Furthermore, there was no significant difference in the change in resting heart rate (RHR) (MD = 2.04, 95% CI: −2.71–6.78; P = 0.40) between the physical activity group and the control group, but there was a significant difference in the change in maximum heart rate (HR-max) (MD = 6.27, 95% CI: 1.75–10.97, P = 0.007). …”

Analysis of subgroups. by Da Huang (1306407)

“…Furthermore, there was no significant difference in the change in resting heart rate (RHR) (MD = 2.04, 95% CI: −2.71–6.78; P = 0.40) between the physical activity group and the control group, but there was a significant difference in the change in maximum heart rate (HR-max) (MD = 6.27, 95% CI: 1.75–10.97, P = 0.007). …”

Image 4_Pediatric kidney transplant recipients are at an increased risk for dysbiosis.jpeg by Gizem Yılmaz (20641691)

“…In addition, KTx recipients with a history of frequent urinary tract infections, diarrhea and reduced GFR showed significant increases in bacterial abundance (p < 0.05 for all).…”

Image 1_Pediatric kidney transplant recipients are at an increased risk for dysbiosis.jpeg by Gizem Yılmaz (20641691)

“…In addition, KTx recipients with a history of frequent urinary tract infections, diarrhea and reduced GFR showed significant increases in bacterial abundance (p < 0.05 for all).…”

Image 3_Pediatric kidney transplant recipients are at an increased risk for dysbiosis.jpeg by Gizem Yılmaz (20641691)

“…In addition, KTx recipients with a history of frequent urinary tract infections, diarrhea and reduced GFR showed significant increases in bacterial abundance (p < 0.05 for all).…”

Image 2_Pediatric kidney transplant recipients are at an increased risk for dysbiosis.jpeg by Gizem Yılmaz (20641691)

“…In addition, KTx recipients with a history of frequent urinary tract infections, diarrhea and reduced GFR showed significant increases in bacterial abundance (p < 0.05 for all).…”

Estimating RSA Variability in Each SCP Condition. by Hikari Otsuka (18605246)

Data Sheet 1_Analysis of temporal and spatial changes in the global burden of hypertensive heart disease based on data from the Global Burden of Disease study database and future p... by Guoliang Gao (2910503)

“…According to the APC model, the worldwide incidence of hypertensive heart disease is expected to increase from 2022 to 2046, with further decreases in deaths and DALYs.…”

Exposed mosquitoes with fractional order and . by Sisay Fikadu Jaleta (20912783)

“…Our findings reveal that fractional-order effects significantly influence malaria transmission dynamics; specifically, higher fractional orders result in slower increases in susceptible and exposed human populations while leading to more rapid changes in the dynamics of infected populations. …”

The state variable descriptions of the model. by Sisay Fikadu Jaleta (20912783)

“…Our findings reveal that fractional-order effects significantly influence malaria transmission dynamics; specifically, higher fractional orders result in slower increases in susceptible and exposed human populations while leading to more rapid changes in the dynamics of infected populations. …”

Sensitivity indices of the model parameters for . by Sisay Fikadu Jaleta (20912783)

“…Our findings reveal that fractional-order effects significantly influence malaria transmission dynamics; specifically, higher fractional orders result in slower increases in susceptible and exposed human populations while leading to more rapid changes in the dynamics of infected populations. …”

Infected mosquitoes with fractional order and.. by Sisay Fikadu Jaleta (20912783)

“…Our findings reveal that fractional-order effects significantly influence malaria transmission dynamics; specifically, higher fractional orders result in slower increases in susceptible and exposed human populations while leading to more rapid changes in the dynamics of infected populations. …”

None - by Sisay Fikadu Jaleta (20912783)

“…Our findings reveal that fractional-order effects significantly influence malaria transmission dynamics; specifically, higher fractional orders result in slower increases in susceptible and exposed human populations while leading to more rapid changes in the dynamics of infected populations. …”

Vps34 supports Treg maintenance in lymphoid and non-lymphoid tissues. by Erienne G. Norton (9612079)

“…GSEA enrichment plots showing increased cTreg signature (left; i.e., top 200 upregulated genes [log₂FC > 0.5, FDR < 0.05] in cTregs versus eTregs) and decreased eTreg signature (right; i.e., top 200 upregulated genes [log₂FC > 0.5, FDR < 0.05] in eTregs versus cTregs) in CD45.2⁺ Tregs from <i>Foxp3</i>^Cre<i>Pik3c3</i>^fl/fl mixed BM chimera mice compared to control mixed BM chimera mice. …”

Differences between outcomes and types of learning during the lockdown and after the pandemic. by Juan-Ignacio Pozo (20421678)

List of DEGs from neuronal cell analysis. by Sara Cuvertino (18892069)

“…In contrast with the epigenomic changes, the number of DEGs decrease as differentiation progresses. …”