PCAIs inhibit NCI-H23 cell line viability. by Matthew D. Gregory (19929096)

“…Of the 17 PCAIs tested, compounds NSL-YHJ-2-27 and NSL-YHJ-2-46 showed the most potency with EC₅₀ values of 2.7 and 3.3 μM, respectively. …”

PCAIs disrupt actin filaments in NCI-H23 cells. by Matthew D. Gregory (19929096)

“…Of the 17 PCAIs tested, compounds NSL-YHJ-2-27 and NSL-YHJ-2-46 showed the most potency with EC₅₀ values of 2.7 and 3.3 μM, respectively. …”

PCAIs suppress 3D NCI-H23 cell invasion. by Matthew D. Gregory (19929096)

“…Of the 17 PCAIs tested, compounds NSL-YHJ-2-27 and NSL-YHJ-2-46 showed the most potency with EC₅₀ values of 2.7 and 3.3 μM, respectively. …”

PCAIs suppress NCI-H23 cancer cell migration. by Matthew D. Gregory (19929096)

“…Of the 17 PCAIs tested, compounds NSL-YHJ-2-27 and NSL-YHJ-2-46 showed the most potency with EC₅₀ values of 2.7 and 3.3 μM, respectively. …”

PCAIs induce apoptosis in NCI-H23 cells. by Matthew D. Gregory (19929096)

“…Of the 17 PCAIs tested, compounds NSL-YHJ-2-27 and NSL-YHJ-2-46 showed the most potency with EC₅₀ values of 2.7 and 3.3 μM, respectively. …”

Prevaelnce of different pathogens by location. by Amete Mihret Teshale (12072758)

“…<div><p>Diarrheal illness remains a major global health challenge, causing millions of deaths annually. …”

File S1 - Modifications in Rat Plasma Proteome after Remote Ischemic Preconditioning (RIPC) Stimulus: Identification by a SELDI-TOF-MS Approach by Pierre Hibert (470627)

“…Detailed <i>p-</i>value data for comparison between the three groups is indicated in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0085669#pone-0085669-t002" target="_blank">Table 2</a>. …”

Table1_Exploring the causal relationship between immune cell and all-cause heart failure: a Mendelian randomization study.xlsx by Jixu Li (8777786)

Data_Sheet_1_Causal relationship between gut microbiota and puerperal sepsis: a 2-sample Mendelian randomization study.zip by Liu-dan Liang (18812878)

Data_Sheet_1_Oral Contraceptive Use and Increased Risk of Stroke: A Dose–Response Meta-Analysis of Observational Studies.docx by Feng Li (30515)

Image1_Pan-cancer and single-cell analysis reveals FAM83D expression as a cancer prognostic biomarker.TIF by Haiyang Yu (543050)

Shaping the task allows the network to adapt to a large rotation angle (here ) even if the target size and the noise level are extremely small. by Ran Darshan (507608)

“…<p><b>A.</b> Shaping by decreasing the target size, as explained in the text. …”

Effects of ROS scavenging on the counteraction of EMT-like process due to <i>K</i>. <i>pneumoniae</i> infection of A549 cells. by Laura Leone (297477)

“…<p>The A549 cells were pretreated for 12h before the infection with the resveratrol 50 μM. …”

Inducible knock-down of PfHtrA2 protein in the transgenic parasites and its effect on the growth and development asexual stages of the parasites. by Shweta Singh (409313)

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)

“…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. …”

DataSheet_1_Trends in incidence and mortality of esophageal cancer in China 1990−2019: A joinpoint and age-period-cohort analysis.csv by Fajun Li (13247448)

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)

“…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)

“…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)

“…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. …”

Image2_Bioaccumulation and biotransformation of simvastatin in probiotic bacteria: A step towards better understanding of drug-bile acids-microbiome interactions.pdf by Maja Đanić (14589095)