Bacteria Contribute to Sediment Nutrient Release and Reflect Progressed Eutrophication-Driven Hypoxia in an Organic-Rich Continental Sea by Hanna Sinkko (215613)

“…The sulphate reducers began to decrease below depths of 20 cm, where members of the family <i>Anaerolineaceae</i> (phylum <i>Chloroflexi</i>) increased, possibly taking part in terminal mineralization processes. …”

A visual example of DV-misclassification relationships and the results of the statistical simulations. by Alexander J. Millner (817690)

“…As the DV-misclassification correlation strengthens in either direction, chances of a false positive increase (i.e., Type I error). Compared to larger sample sizes, chance of a false positive is greatest when there is a smaller sample size.…”

Energy consumption of mixed-mode air conditioned cellular offices in São Paulo: considerations about the design by Caroline Antonelli Santesso (5861222)

Possible mechanical feedback mechanisms that could improve tissue growth efficiency and homeostasis. by Sang-Woo Lee (441256)

“…When the feedback strength <i>c</i> is positive and larger, the cell size/density variance and elimination rate decreased but the variance in stress magnitude increased (see also (D) for an example of the simulation results). …”

Supplementary Material for: Intentional Weight Loss and Dose Reductions of Antihypertensive Medications: A Retrospective Cohort Study by Shantha G.P.S. (4137691)

“…<b><i>Background:</i></b> Though it is well known that weight loss tends to decrease blood pressure, the quantitative association between the magnitude of weight loss and the effect on the need for antihypertensive medications is not well studied. …”

Evaluation and application of summary statistic imputation to discover new height-associated loci by Sina Rüeger (606696)

“…To this end, we compared the two approaches on real (genotyped and imputed) data from 120K samples from the UK Biobank and show that, <i>genotype imputation</i> boasts a 3- to 5-fold lower root-mean-square error, and better distinguishes true associations from null ones: We observed the largest differences in power for variants with low minor allele frequency and low imputation quality. …”

Image_3_JMJD6 orchestrates a transcriptional program in favor of endocrine resistance in ER+ breast cancer cells.tif by Partha Das (659095)

“…Indeed, JOE cells showed a significant decrease in both ESR1 and ER levels and JMJD6 siRNA transfection increased the expression of both. …”

Image_4_JMJD6 orchestrates a transcriptional program in favor of endocrine resistance in ER+ breast cancer cells.tif by Partha Das (659095)

“…Indeed, JOE cells showed a significant decrease in both ESR1 and ER levels and JMJD6 siRNA transfection increased the expression of both. …”

Table_2_JMJD6 orchestrates a transcriptional program in favor of endocrine resistance in ER+ breast cancer cells.xlsx by Partha Das (659095)

“…Indeed, JOE cells showed a significant decrease in both ESR1 and ER levels and JMJD6 siRNA transfection increased the expression of both. …”

Functional connectivity revealed by rsfcMRI. by Corinna M. Bauer (3854026)

“…Increases are represented by orange lines, whereas decreases are represented by cyan lines. Dark blue spheres represent the nodes (i.e. …”

Image_2_JMJD6 orchestrates a transcriptional program in favor of endocrine resistance in ER+ breast cancer cells.tif by Partha Das (659095)

“…Indeed, JOE cells showed a significant decrease in both ESR1 and ER levels and JMJD6 siRNA transfection increased the expression of both. …”

Table_3_JMJD6 orchestrates a transcriptional program in favor of endocrine resistance in ER+ breast cancer cells.xlsx by Partha Das (659095)

“…Indeed, JOE cells showed a significant decrease in both ESR1 and ER levels and JMJD6 siRNA transfection increased the expression of both. …”

Multicellular units can evolve in detrimental environments. by Yuriy Pichugin (4611025)

“…<p>Each panel presents the fraction of the minimal, binary life cycle 1+1 (green) and equal split life cycles with a larger maturity size (orange) for random detrimental environments, where division rates decrease and death rates increase with cluster size. …”

Long-Term Trends in Visibility and at Chengdu, China by Qiyuan Wang (434809)

“…A Positive Matrix Factorization receptor model suggested that coal combustion was the largest contributor to PM_2.5 mass (42.3%) and the dry-air light-scattering coefficient (47.7%); this was followed by vehicular emissions (23.4% and 20.5%, respectively), industrial emissions (14.9% and 18.8%), biomass burning (12.8% and 11.9%), and fugitive dust (6.6% and 1.1%). …”

Logistic growth in density dependent populations. by Mark Bowler (332184)

“…<p>K = carrying capacity. Fig. 1a shows a linear decrease of population growth rate as population size increases and availability of resources per individual therefore declines. …”

Image_1_Who is adjusting to whom?: Differences in elephant diel activity in wildlife corridors across different human-modified landscapes.jpeg by Tempe S. F. Adams (13165104)

“…This information is vital as the human population is only going to increase and the wildlife protected areas decrease. We used remote-sensor camera traps to identify the movement patterns of African elephant (Loxodonta africana) through six wildlife corridors in Botswana. …”

Table_3_Global burden of lower respiratory infections during the last three decades.DOC by Saeid Safiri (3713035)

“…Globally, child wasting (33.1%), household air pollution from solid fuels (24.9%) and a lack of access to handwashing facilities (14.4%) made the largest contributions to the LRI burden in 2019.…”

Image_5_Global burden of lower respiratory infections during the last three decades.PDF by Saeid Safiri (3713035)

“…Globally, child wasting (33.1%), household air pollution from solid fuels (24.9%) and a lack of access to handwashing facilities (14.4%) made the largest contributions to the LRI burden in 2019.…”

Presentation_2_Global burden of lower respiratory infections during the last three decades.PDF by Saeid Safiri (3713035)

“…Globally, child wasting (33.1%), household air pollution from solid fuels (24.9%) and a lack of access to handwashing facilities (14.4%) made the largest contributions to the LRI burden in 2019.…”

Image_11_Global burden of lower respiratory infections during the last three decades.PDF by Saeid Safiri (3713035)

“…Globally, child wasting (33.1%), household air pollution from solid fuels (24.9%) and a lack of access to handwashing facilities (14.4%) made the largest contributions to the LRI burden in 2019.…”