Sensitivity analysis for eGFR. by Mohamed R. Abdelraouf (21501468)

“…The analysis showed that pulsatile perfusion led to a significant decrease in creatinine level [MD = −0.14, 95% CI (−0.24, −.04), P < 0.004], lactate level [MD = −8.21, 95% CI (−13.16, −3.25), P < 0.001], hospital stay [MD = −1.38, 95% CI (−2.51, −0.25), P = 0.016], ICU stay [MD = −0.47, 95% CI (−0.82, −0.13), P = 0.007], intubation time [MD = −3.73, 95% CI (−5.42, −2.04), P < 0.001], and increase in creatinine clearance [MD = 10.08, 95% CI (3.36, 16.80), P < 0.003]. …”

Sensitivity analysis for BUN. by Mohamed R. Abdelraouf (21501468)

“…The analysis showed that pulsatile perfusion led to a significant decrease in creatinine level [MD = −0.14, 95% CI (−0.24, −.04), P < 0.004], lactate level [MD = −8.21, 95% CI (−13.16, −3.25), P < 0.001], hospital stay [MD = −1.38, 95% CI (−2.51, −0.25), P = 0.016], ICU stay [MD = −0.47, 95% CI (−0.82, −0.13), P = 0.007], intubation time [MD = −3.73, 95% CI (−5.42, −2.04), P < 0.001], and increase in creatinine clearance [MD = 10.08, 95% CI (3.36, 16.80), P < 0.003]. …”

Subgroup analysis of BUN based on surgery type. by Mohamed R. Abdelraouf (21501468)

“…The analysis showed that pulsatile perfusion led to a significant decrease in creatinine level [MD = −0.14, 95% CI (−0.24, −.04), P < 0.004], lactate level [MD = −8.21, 95% CI (−13.16, −3.25), P < 0.001], hospital stay [MD = −1.38, 95% CI (−2.51, −0.25), P = 0.016], ICU stay [MD = −0.47, 95% CI (−0.82, −0.13), P = 0.007], intubation time [MD = −3.73, 95% CI (−5.42, −2.04), P < 0.001], and increase in creatinine clearance [MD = 10.08, 95% CI (3.36, 16.80), P < 0.003]. …”

Baseline Characteristics of Included Patients. by Mohamed R. Abdelraouf (21501468)

“…The analysis showed that pulsatile perfusion led to a significant decrease in creatinine level [MD = −0.14, 95% CI (−0.24, −.04), P < 0.004], lactate level [MD = −8.21, 95% CI (−13.16, −3.25), P < 0.001], hospital stay [MD = −1.38, 95% CI (−2.51, −0.25), P = 0.016], ICU stay [MD = −0.47, 95% CI (−0.82, −0.13), P = 0.007], intubation time [MD = −3.73, 95% CI (−5.42, −2.04), P < 0.001], and increase in creatinine clearance [MD = 10.08, 95% CI (3.36, 16.80), P < 0.003]. …”

List of drug resistance gene. by Shuai Huang (60512)

“…Additionally, 16S rRNA species profiling revealed that the composting process significantly altered the microbial community structure, with an increased abundance of Firmicutes and a decreased abundance of Bacteroidetes in composted pig manure. …”

Serves as the data source for Figs 1 and 2. by Shuai Huang (60512)

“…Additionally, 16S rRNA species profiling revealed that the composting process significantly altered the microbial community structure, with an increased abundance of Firmicutes and a decreased abundance of Bacteroidetes in composted pig manure. …”

Primers sequences of drug resistance genes. by Shuai Huang (60512)

“…Additionally, 16S rRNA species profiling revealed that the composting process significantly altered the microbial community structure, with an increased abundance of Firmicutes and a decreased abundance of Bacteroidetes in composted pig manure. …”

Serves as the data source for Fig 3. by Shuai Huang (60512)

“…Additionally, 16S rRNA species profiling revealed that the composting process significantly altered the microbial community structure, with an increased abundance of Firmicutes and a decreased abundance of Bacteroidetes in composted pig manure. …”

Serves as the data source for Fig 4. by Shuai Huang (60512)

“…Additionally, 16S rRNA species profiling revealed that the composting process significantly altered the microbial community structure, with an increased abundance of Firmicutes and a decreased abundance of Bacteroidetes in composted pig manure. …”

Serves as the data source for Fig 5. by Shuai Huang (60512)

“…Additionally, 16S rRNA species profiling revealed that the composting process significantly altered the microbial community structure, with an increased abundance of Firmicutes and a decreased abundance of Bacteroidetes in composted pig manure. …”

Serves as the data source for Fig 6. by Shuai Huang (60512)

“…Additionally, 16S rRNA species profiling revealed that the composting process significantly altered the microbial community structure, with an increased abundance of Firmicutes and a decreased abundance of Bacteroidetes in composted pig manure. …”

Serves as the data source for Fig 7. by Shuai Huang (60512)

“…Additionally, 16S rRNA species profiling revealed that the composting process significantly altered the microbial community structure, with an increased abundance of Firmicutes and a decreased abundance of Bacteroidetes in composted pig manure. …”

Effect of AUT00201 (1 µM) on PV properties after juvenile demyelination. by Sara Hijazi (21656615)

“…<p><b>A-B.</b> Bath application of AUT00201 (1 µM) had no significant effect on the resting membrane potential (A) or the input resistance (B) of PV interneurons from cuprizone mice and control mice (RMP: <i>group x AUT00201 two-way repeated measures: n = 12,13 cells from 4 mice per group: p = 0.8593; AUT00201 effect: p = 0.2171.…”

PRV UL4 protein facilitates ASC oligomerization and speck formation by promoting ASC phosphorylation. by Xiaohua Zhang (350570)

Synthesis and Preclinical Evaluation of Novel ^99mTc-Labeled FR-Targeting Agents with Satisfactory Imaging Contrast and Reduced Renal Uptake by Junhong Feng (11835903)

“…Several folate-based tracers have shown the ability to target FR, but excessive renal uptake is a general concern. To decrease renal uptake and achieve high target-to-nontarget ratios, two folate derivatives (DProFA and DAlaFA) were designed and synthesized. …”

Amorphous Silica/NaNbO₃ Crystal Heterophase Junction-Supported Ru Catalyst with Optimized Surface and Electron Structure for Highly Efficient Hydrogenation of α‑Pinene... by Haozhang Xu (21366415)

“…Optimizing supported catalysts through support improvement is a feasible approach to balance effectiveness and cost. …”

Prediction of bacterial BugBase phenotype. by Jun Sun (48981)

Sequence of UL4 is involved in inflammasome activation. by Xiaohua Zhang (350570)

The UL4 mutation alleviated inflammasome activation and pyroptosis in PRV-infected cells. by Xiaohua Zhang (350570)

PRV UL4 interacts with ASC. by Xiaohua Zhang (350570)