Effect of 1α,25(OH)₂D₃ on the survival of A549 cells and <i>B</i>. <i>pseudomallei</i> H777. by Pohnratchada Mattrasongkram (14593528)

Replication of YFV-Asibi cap1 and cap0 in different vertebrate cells. by Anja vom Hemdt (19787189)

Replication of YFV-17D cap1 and cap0 in different insect cells. by Anja vom Hemdt (19787189)

Viability test in A549 and in Hs27 cells. by Anna Poma (835467)

Dynamic range of NMDAR subtype and the scalability to a physiological synapse. by Pallab Singh (348794)

“…NR2A-NMDAR activation increases (p<0.05) over the physiological range of univesicular glutamate release (500–1,500 molecules), but saturates at larger glutamate levels (shaded in gray), while activation of NR2B-containing NMDARs significantly increases only in the range of multivesicular glutamate release (2,000–10,000) (p<0.05). …”

cIN accumulate in the ventrolateral cortex of <i>Emx1</i>-cKO mice. by Sathish Venkataramanappa (10331993)

<i>Donson</i> deletion in the <i>Emx1</i> lineage induces apoptosis in the early pallium. by Sathish Venkataramanappa (10331993)

Growth kinetics of YFV-17D/Asibi chimeras in C6/36 cells. by Anja vom Hemdt (19787189)

The similarity metric as a function of noise shows increased order in the intermediate noise regime. by Madeline Galbraith (9205218)

Inhibition of YFV-17D cap0 and -Asibi cap0 in different mosquito cells. by Anja vom Hemdt (19787189)

Expression patterns and promoter analyses of aluminum-responsive <i>NAC</i> genes suggest a possible growth regulation of rice mediated by aluminum, hormones and NAC transcription... by Hugo Fernando Escobar-Sepúlveda (4509883)

<i>Emx1</i>-cKO mice lack the neocortex. by Sathish Venkataramanappa (10331993)

Likelihood estimation prefers a small off-target rate. by Linhui Hao (208653)

“…<p>Maximum likelihood estimates (MLEs) are parameter settings that provide the best explanation for observed multi-study agreement counts, yet the estimate for ν, the mean number of off-targets per siRNA, is surprisingly small (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1003235#pcbi-1003235-t004" target="_blank">Table 4</a>). …”

Table_1_Incidence and Mortality Trends and Risk Prediction Nomogram for Extranodal Diffuse Large B-Cell Lymphoma: An Analysis of the Surveillance, Epidemiology, and End Results Dat... by Xuejiao Yin (5132441)

Image_6_Incidence and Mortality Trends and Risk Prediction Nomogram for Extranodal Diffuse Large B-Cell Lymphoma: An Analysis of the Surveillance, Epidemiology, and End Results Dat... by Xuejiao Yin (5132441)

Image_7_Incidence and Mortality Trends and Risk Prediction Nomogram for Extranodal Diffuse Large B-Cell Lymphoma: An Analysis of the Surveillance, Epidemiology, and End Results Dat... by Xuejiao Yin (5132441)

Image_1_Incidence and Mortality Trends and Risk Prediction Nomogram for Extranodal Diffuse Large B-Cell Lymphoma: An Analysis of the Surveillance, Epidemiology, and End Results Dat... by Xuejiao Yin (5132441)

Image_2_Incidence and Mortality Trends and Risk Prediction Nomogram for Extranodal Diffuse Large B-Cell Lymphoma: An Analysis of the Surveillance, Epidemiology, and End Results Dat... by Xuejiao Yin (5132441)

Image_4_Incidence and Mortality Trends and Risk Prediction Nomogram for Extranodal Diffuse Large B-Cell Lymphoma: An Analysis of the Surveillance, Epidemiology, and End Results Dat... by Xuejiao Yin (5132441)

Image_3_Incidence and Mortality Trends and Risk Prediction Nomogram for Extranodal Diffuse Large B-Cell Lymphoma: An Analysis of the Surveillance, Epidemiology, and End Results Dat... by Xuejiao Yin (5132441)