Table_8_α-Ketoglutarate stimulates cell growth through the improvement of glucose and glutamine metabolism in C2C12 cell culture.DOCX by Bingquan Yang (6389006)

“…</p>Results<p>The control cells showed a CFE at 50%, a typical cell growth curve in the first 5 days with a mean SGR at 0.86/day, and a mean cell count doubling time at 19.4 h. …”

Table_7_α-Ketoglutarate stimulates cell growth through the improvement of glucose and glutamine metabolism in C2C12 cell culture.DOCX by Bingquan Yang (6389006)

“…</p>Results<p>The control cells showed a CFE at 50%, a typical cell growth curve in the first 5 days with a mean SGR at 0.86/day, and a mean cell count doubling time at 19.4 h. …”

Table_4_α-Ketoglutarate stimulates cell growth through the improvement of glucose and glutamine metabolism in C2C12 cell culture.DOCX by Bingquan Yang (6389006)

“…</p>Results<p>The control cells showed a CFE at 50%, a typical cell growth curve in the first 5 days with a mean SGR at 0.86/day, and a mean cell count doubling time at 19.4 h. …”

Table_9_α-Ketoglutarate stimulates cell growth through the improvement of glucose and glutamine metabolism in C2C12 cell culture.DOCX by Bingquan Yang (6389006)

“…</p>Results<p>The control cells showed a CFE at 50%, a typical cell growth curve in the first 5 days with a mean SGR at 0.86/day, and a mean cell count doubling time at 19.4 h. …”

Table_1_α-Ketoglutarate stimulates cell growth through the improvement of glucose and glutamine metabolism in C2C12 cell culture.DOCX by Bingquan Yang (6389006)

“…</p>Results<p>The control cells showed a CFE at 50%, a typical cell growth curve in the first 5 days with a mean SGR at 0.86/day, and a mean cell count doubling time at 19.4 h. …”

Relative predictive performance when using default algorithm hyperparameters and all features vs. tuning hyperparameters or selecting features. by Stephen R. Piccolo (8367780)

PRISMA flow diagram. by Apoorva Anand (17921197)

“…Lower sensitivity was attributed to absence of symptoms, errors in test conduct and absence of supervision or a digital support. We found no difference in COVIDST sensitivity between delta and omicron pre-dominant period. …”

Relative predictive performance when training on gene-expression predictors alone vs. using clinical predictors alone or gene-expression predictors in combination with clinical pre... by Stephen R. Piccolo (8367780)

Meta-analyses of COVIDST diagnostic accuracy. by Apoorva Anand (17921197)

“…Lower sensitivity was attributed to absence of symptoms, errors in test conduct and absence of supervision or a digital support. We found no difference in COVIDST sensitivity between delta and omicron pre-dominant period. …”

Working model figure describing splicing events of <i>TERT</i> observed in this study. by Jeongjin J. Kim (16734099)

Map of study area in the South Gondar region of northern Ethiopia. by Catherine L. Cardelús (6429320)

Overview of the single-tool classifiers used in iPHoP. by Simon Roux (151891)

Distribution of intestinal parasitic contamination in different fresh vegetables and fruits among the three open aired markets in peri-urban areas of Jimma city from July-September... by Ahmed Zeynudin (226298)

DataSheet_1_DNA N6-Methyladenine (6mA) Modification Regulates Drug Resistance in Triple Negative Breast Cancer.pdf by Xianneng Sheng (10076839)

Parthenolide Derivatives as PKM2 Activators Showing Potential in Colorectal Cancer by Xingchen Liu (524190)

“…In this study, we designed a series of parthenolide (PTL) derivatives through a stepwise structure optimization, and an excellent derivate <b>29e</b> showed good activity on PKM2 (AC₅₀ = 86.29 nM) and displayed significant antiproliferative activity against HT29 (IC₅₀ = 0.66 μM) and SW480 (IC₅₀ = 0.22 μM) cells. …”

Parthenolide Derivatives as PKM2 Activators Showing Potential in Colorectal Cancer by Xingchen Liu (524190)

“…In this study, we designed a series of parthenolide (PTL) derivatives through a stepwise structure optimization, and an excellent derivate <b>29e</b> showed good activity on PKM2 (AC₅₀ = 86.29 nM) and displayed significant antiproliferative activity against HT29 (IC₅₀ = 0.66 μM) and SW480 (IC₅₀ = 0.22 μM) cells. …”

Parthenolide Derivatives as PKM2 Activators Showing Potential in Colorectal Cancer by Xingchen Liu (524190)

“…In this study, we designed a series of parthenolide (PTL) derivatives through a stepwise structure optimization, and an excellent derivate <b>29e</b> showed good activity on PKM2 (AC₅₀ = 86.29 nM) and displayed significant antiproliferative activity against HT29 (IC₅₀ = 0.66 μM) and SW480 (IC₅₀ = 0.22 μM) cells. …”

Parthenolide Derivatives as PKM2 Activators Showing Potential in Colorectal Cancer by Xingchen Liu (524190)

“…In this study, we designed a series of parthenolide (PTL) derivatives through a stepwise structure optimization, and an excellent derivate <b>29e</b> showed good activity on PKM2 (AC₅₀ = 86.29 nM) and displayed significant antiproliferative activity against HT29 (IC₅₀ = 0.66 μM) and SW480 (IC₅₀ = 0.22 μM) cells. …”

Parthenolide Derivatives as PKM2 Activators Showing Potential in Colorectal Cancer by Xingchen Liu (524190)

“…In this study, we designed a series of parthenolide (PTL) derivatives through a stepwise structure optimization, and an excellent derivate <b>29e</b> showed good activity on PKM2 (AC₅₀ = 86.29 nM) and displayed significant antiproliferative activity against HT29 (IC₅₀ = 0.66 μM) and SW480 (IC₅₀ = 0.22 μM) cells. …”

Results of t-tests comparing nutrient supply rates (micrograms / 10cm² / burial length) in sterilized versus live soil, in seedling pots. by Katherine E. A. Wood (17325907)