AmrZ binding to the <i>algD</i> activator site. by Edward E. Pryor Jr. (171864)

Table_1_New Challenge, New Motivation? Goal Orientation Development in Graduates of Higher Track Schools and Their Peers in Vocational Training.DOCX by Sarah Becker (5591708)

SW1116 and DLD1 cell viability following TSA treatment. by Aadilah Omar (16814210)

“…TSA treatment in comparison, resulted in a 15% decrease in DLD1 cell viability (p = 0.0001). ** Very significant (p<0.01), *** Extremely significant (p<0.001).…”

Up- and down-regulated flower-related genes in both <i>LS1</i> and <i>LS3</i> mutants in tomato.^* by Yi-Hong Wang (46644)

C1 shows similar results on macrophages as for microglia and does not interfere with cell activity, proliferation, and cell death are not affected in non-stimulated conditions. by Philipp Jordan (9364068)

“…Similar as for the LPS stimulation, 0.25 μM showed a significant decrease in NO concentration compared to positive control (p < 0.0001) and DMSO (p < 0.0001). 2.5 μM of C1 lead to a decrease (15.01±10.32%, p = 0.9751) to the same NO concentration as induced by the negative control (24.30±12.91%), which is significantly different from the positive control (p < 0.0001) and DMSO (p < 0.0001). …”

Human chromatin remodeler cofactor, RNA interactor, eraser and writer sperm RNAs responding to obesity by Grace M. Swanson (7052141)

PLC restores the impaired responses to glucose overload and insulin administration induced by high-fat (HF) fed animals. by Carmen Mingorance (328556)

“…F Area under curves describing the decrease of glycaemia from 0 to 120 minutes after the insulin administration. …”

RESEARCH ON BURNOUT LEVEL OF JUVENILE TRAMPOLINISTS AND RELEVANT AFFECTING FACTORS by Benyu Feng (12828641)

“…Results The burnout level of the trampolinists is below the moderate level, and the overall burnout level of athletes is not high; the sense of achievement decrease> negative evaluation of sports>emotional/physical exhaustion; the correlation between the overall level of burnout of athletes and different genders, training age, education stage and athlete level is not significant; in terms of burnout, there are very significant positive correlations(P<0.01) between overload factor, personal factor, and situational factor, and emotional/physical exhaustion, sense of achievement decrease and negative evaluation of sports respectively. …”

Mutation of LUSH^D118 does not affect the responses of OR67d neurons to cVA. by Carolina Gomez-Diaz (408669)

Smooth muscle differentiation and Notch target genes are down regulated in Notch2 and Notch2/Notch3 double mutants. by Qingqing Wang (141110)

“…Data represent relative mRNA expression levels normalized to 18S rRNA. * <i>P</i><0.05, ** <i>P</i><0.01 compared to wildtype.</p>…”

Data_Sheet_1_Cerebral Oxygenation During Neonatal Intubation–Ancillary Study of the Prettineo–Study.PDF by Meryl Vedrenne-Cloquet (6415619)

Image_1_Cerebral Oxygenation During Neonatal Intubation–Ancillary Study of the Prettineo–Study.TIFF by Meryl Vedrenne-Cloquet (6415619)

Image_1_Culex quinquefasciatus Late Trypsin Biosynthesis Is Translationally Regulated by Trypsin Modulating Oostatic Factor.TIF by Dov Borovsky (8892182)

Patterns of lake ice cover are changing throughout the Northern Hemisphere. by Alessandro Filazzola (6631649)

“…Depending on the greenhouse gas emissions, we predict a loss of between 50,000 and 200,000 km² of ice cover. …”

Data_Sheet_1_Anaemia among women of reproductive age in selected sub-Saharan African countries: multivariate decomposition analyses of the demographic and health surveys data 2008–... by Mohammed Gazali Salifu (11888625)

Impact of periodontal treatment on the RANKL/OPG ratio in crevicular fluid by Andrés López Roldán (8362788)

Comparison of microarray data with real-time PCR for selected genes in donor hearts (n = 108). by Anna P. Pilbrow (154606)

Data from: Viviparity does not affect the numbers and sizes of reptile offspring by Shai Meiri (394933)

Neural network classifiers can distinguish states which differ in either activity or correlations. by Nicholas A. Frost (10739821)

“…<b>(G)</b> We used 50% of the data to train a neural network classifier to distinguish “State A” from “State B.” …”

Estimated probability of survival over all Parsonnet scores prior and after changes in the MST. by Hassan Assareh (177000)