Fig 1 - by Win Win Pyone (20396432)

Table_1_The gut microbiota as a potential biomarker for methamphetamine use disorder: evidence from two independent datasets.docx by Linzi Liu (9386378)

“…Based on these microbial features, we developed a machine learning model to help identify MUD patients. …”

miR-302d suppresses TGFB-induced phosphorylation of SMAD2 in hRPE cells. by Xiaonan Hu (1235328)

MRN complex members associate with replicating viral DNA during PCNA-I1 inhibition. by Jessica E. Packard (16641690)

VisAccel complete data_redacted2.xlsx by Miguel A. Yakouma (21439852)

“…When the velocity profile of the visual stimulus matched the velocity profile of inertial motion, the inertial stimulus was biased 10.0 ± 1.8° (mean ± SE) with a 45° visual offset, 8.9 ± 1.7° with a 60° offset, and 9.3° ± 2.5 ± with a 75° offset. …”

Image_3_Clinical Outcomes and Complications of Preoperative Embolization for Intracranial Giant Meningioma Tumorectomy: A Retrospective, Observational, Matched Cohort Study.tif by Yi Yin (448434)

“…</p>Results<p>Sixty-six cases in each group were included in our study after being matched. We did not find any significant differences of estimated blood loss (600.00 (400) vs. 500.00 (500.00) ml, p = 0.31), decrease of HGB level (30.81 ± 15.82 vs. 26.59 ± 12.90 g/L, p = 0.09), gross total resection rate (74.24% vs. 77.27%, p = 0.68), surgical time (302.50 (136) vs. 300.00 (72) min, p = 0.48), blood transfusion rates (53.03% vs. 42.42%, p = 0.35), blood transfusion volume [650.00 (657.50) vs. 535.00 (875.00) ml, p = 0.63] between the embolization group and nonembolization group. …”

Image_1_Clinical Outcomes and Complications of Preoperative Embolization for Intracranial Giant Meningioma Tumorectomy: A Retrospective, Observational, Matched Cohort Study.tif by Yi Yin (448434)

“…</p>Results<p>Sixty-six cases in each group were included in our study after being matched. We did not find any significant differences of estimated blood loss (600.00 (400) vs. 500.00 (500.00) ml, p = 0.31), decrease of HGB level (30.81 ± 15.82 vs. 26.59 ± 12.90 g/L, p = 0.09), gross total resection rate (74.24% vs. 77.27%, p = 0.68), surgical time (302.50 (136) vs. 300.00 (72) min, p = 0.48), blood transfusion rates (53.03% vs. 42.42%, p = 0.35), blood transfusion volume [650.00 (657.50) vs. 535.00 (875.00) ml, p = 0.63] between the embolization group and nonembolization group. …”

Image_2_Clinical Outcomes and Complications of Preoperative Embolization for Intracranial Giant Meningioma Tumorectomy: A Retrospective, Observational, Matched Cohort Study.tif by Yi Yin (448434)

“…</p>Results<p>Sixty-six cases in each group were included in our study after being matched. We did not find any significant differences of estimated blood loss (600.00 (400) vs. 500.00 (500.00) ml, p = 0.31), decrease of HGB level (30.81 ± 15.82 vs. 26.59 ± 12.90 g/L, p = 0.09), gross total resection rate (74.24% vs. 77.27%, p = 0.68), surgical time (302.50 (136) vs. 300.00 (72) min, p = 0.48), blood transfusion rates (53.03% vs. 42.42%, p = 0.35), blood transfusion volume [650.00 (657.50) vs. 535.00 (875.00) ml, p = 0.63] between the embolization group and nonembolization group. …”

Table_1_Clinical Outcomes and Complications of Preoperative Embolization for Intracranial Giant Meningioma Tumorectomy: A Retrospective, Observational, Matched Cohort Study.docx by Yi Yin (448434)

“…</p>Results<p>Sixty-six cases in each group were included in our study after being matched. We did not find any significant differences of estimated blood loss (600.00 (400) vs. 500.00 (500.00) ml, p = 0.31), decrease of HGB level (30.81 ± 15.82 vs. 26.59 ± 12.90 g/L, p = 0.09), gross total resection rate (74.24% vs. 77.27%, p = 0.68), surgical time (302.50 (136) vs. 300.00 (72) min, p = 0.48), blood transfusion rates (53.03% vs. 42.42%, p = 0.35), blood transfusion volume [650.00 (657.50) vs. 535.00 (875.00) ml, p = 0.63] between the embolization group and nonembolization group. …”

PRRSV infection down-regulates SH3KBP1 expression in PAM and Marc-145 cells. by Jiaoyang Li (2862269)

Baf-A1 suppresses PRRSV replication but does not affect the adsorption and internalization of PRRSV. by Jiaoyang Li (2862269)

Supplementary Material for: A Systematic Review and Meta-Analysis of Molecular Biomarkers Associated with Early Neurological Deterioration Following Acute Stroke by Martin A.J. (6051545)

“…After classification into 3 broad categories, meta-analysis showed that biomarkers associated with increased END risk (n; fixed-effects mean difference; 95% CI) were “metabolic” (glucose [<i>n</i> = 9,481; 0.90 mmol/L; 0.74–1.06], glycosylated haemoglobin [<i>n</i> = 3,146; 0.33%; 0.19–0.46], low-density lipoprotein [<i>n</i> = 4,839; 0.13 mmol/L; 0.06–0.21], total cholesterol [<i>n</i> = 4,762; 0.21 mmol/L; 0.11–0.31], triglycerides [<i>n</i> = 4,820; 0.11 mmol/L; 0.06–0.17], urea [<i>n</i> = 1,351; 0.55 mmol/L; 0.14–0.96], decreasing albumin [<i>n</i> = 513; 0.33 g/dL; 0.05–0.61]); “inflammatory and excitotoxic” (plasma glutamate [<i>n</i> = 688; 60.13 µmol/L; 50.04–70.22], CSF glutamate [<i>n</i> = 369; 7.50 µmol/L; 6.76–8.23], homocysteine [<i>n</i> = 824; 2.15 µmol/L; 0.68–3.61], leucocytes [<i>n</i> = 3,766; 0.54 × 10⁹/L; 0.34–0.74], high-sensitivity C-reactive protein [<i>n</i> = 1,707; 3.79 mg/L; 1.23–6.35]); and “coagulation/haematological” (fibrinogen [<i>n</i> = 3,132; 0.32 g/L; 0.25–0.40]; decreasing haemoglobin [<i>n</i> = 3,586; 2.38 g/L; 0.15–4.60]). …”

miR-302d suppresses TGFB-induced phosphorylation of SMAD2 in hRPE cells. by Xiaonan Hu (1235328)

Neighbor-joining analysis of mitochondrial COI sequences among sand flies species (symbol of green color) and mosquitoes of genus <i>Culex</i> (symbol of orange color) from Colombi... by Rafael J. Vivero-Gomez (11859151)

miR-302d suppresses TGFB-induced phosphorylation of SMAD2 in hRPE cells. by Xiaonan Hu (1235328)

Predictive accuracy of bull fertility and optimal number of features for the different methods. by Valentin Costes (12471235)

NMN improved the effects of aging on embryonic development. by Leyi Li (5141735)

Morphological and proliferative characteristics of 3-month-old vehicle-treated and rapamycin-treated bovine mammary gland after 4-day treatment with estrogen and progesterone. by Anna Kosenko (12908417)

Fig 7 - by Rajnish Prakash Singh (2847608)

Fig 6 - by Rajnish Prakash Singh (2847608)