Results on the trimmed datasets with a decreasing number of papers per author available for training and testing. by Leonard Bauersfeld (16475015)

Landmarks and measurement items for linear analysis (A) and angular analysis (B) by 3D reconstructions. by Natsuko Hichijo (752937)

The relationships between the mean time to extinction <i>T</i> and the size of the community, <i>N</i>, in different scenarios. by Immanuel Meyer (12306666)

Longer polyQ sequences decrease the nuclear localization of AR in the absence of hormone. by Carlos M. Roggero (11909585)

Subjects:

A large-scale analysis of bioinformatics code on GitHub by Pamela H. Russell (5916935)

“…We found key relationships within our dataset, including: certain scientific topics are associated with more active code development and higher community interest in the repository; most of the code in the main dataset is written in dynamically typed languages, while most of the code in the high-profile set is statically typed; developer team size is associated with community engagement and high-profile repositories have larger teams; the proportion of female contributors decreases for high-profile repositories and with seniority level in author lists; and, multiple measures of project impact are associated with the simple variable of whether the code was modified at all after paper publication. …”

Cognitive mechanisms for inferring the meaning of novel signals during symbolisation - Fig 3 by Justin Sulik (4768296)

“…<p>(a) Mean perimetric complexity vs. turn, suggesting a non-linear decrease. …”

Synaptic LTP decreases peak A-current density. by Sung-Cherl Jung (261358)

“…In paired neurons showing potentiation of synaptic transmission, peak I_A progressively decreased with time after LTP induction. …”

Results of inter-observer reliability tests (prevalence-adjusted bias-adjusted kappa: PABAK) for the assessment of skin injuries in laying hens on farm and at the slaughter line us... by Lisa Jung (13264758)

Mean muscle activation patterns across the gait cycle during walking with mediolateral (ML) forces for <i>A)</i> able-bodied individuals and <i>B)</i> individuals after stroke duri... by Sanne Ettema (18786312)

Cognitive mechanisms for inferring the meaning of novel signals during symbolisation - Fig 5 by Justin Sulik (4768296)

A manifestation of variance coding within the large-scale model. by Aaditya V. Rangan (305264)

“…<p>The large scale model (described in Methods) exhibits a phenomenon similar to the variance coding shown in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1002622#pcbi-1002622-g002" target="_blank">Fig. 2</a>. …”

Phase 2 pre- and post-test Means (<i>M</i>), Standard Deviations (<i>SD</i>), between group effect sizes (<i>d</i>), and RMANOVA results (<i>F</i>-value, <i>p</i>-value) for interv... by Wendy C. Crone (2262169)

The HMR C-terminus is required for HMR localization in proximity to centromeres and HP1a-bound chromatin (related to Fig 4). by Andrea Lukacs (3752956)

Statistical results from the generalized linear mixed effects models. by Sandra Varga (405097)

Spectroscopic Structure–Property Relationships of a Series of Polyaromatic Platinum Acetylides by Thomas M Cooper (2125978)

“…In the <b>L</b> chromophores, the S₁ and T₁ state energies decrease linearly with nFAR. In contrast, the S₁ and T₁ state energies of the <b>Z</b> chromophores oscillate around a fixed value with increasing nFAR. …”

Spectroscopic Structure–Property Relationships of a Series of Polyaromatic Platinum Acetylides by Thomas M Cooper (2125978)

“…In the <b>L</b> chromophores, the S₁ and T₁ state energies decrease linearly with nFAR. In contrast, the S₁ and T₁ state energies of the <b>Z</b> chromophores oscillate around a fixed value with increasing nFAR. …”

<i>SIRT6</i> Minor Allele Genotype Is Associated with >5-Year Decrease in Lifespan in an Aged Cohort by Mindi J. TenNapel (679433)

Rhox5 decreases UNC5C expression. by Mayumi Sugimoto (151133)

Linear contact model. by Qingwen Li (1510687)

Quantity of <i>Salmonella</i> modeled using multilevel mixed linear regression. by Naomi Ohta (735090)