<i>Smed-not1</i> is expressed in CNS and throughout the parenchyma in an irradiation-sensitive manner. by Jordi Solana (499882)

“…<i>Smed-not1</i> signals are detected as a broad staining pattern in non-irradiated animals (A, top panel, non irrad), and decrease 3 days (A, middle panel, irrad 3d) and 5 days (A, bottom panel, irrad 5d) after lethal irradiation. …”

HEMATOLOGICAL PARAMETERS AND BODY COMPOSITION OF SOCCER PLAYERS by Allana Kelly Bussollaro (5631524)

Wildlife Population Dynamics in Human-Dominated Landscapes under Community-Based Conservation: The Example of Nakuru Wildlife Conservancy, Kenya by Joseph O. Ogutu (785855)

“…The trends for the 44 wildlife species showed five general patterns during 1996–2015. 1) Steinbuck, bushbuck, hartebeest and greater kudu numbers declined persistently and significantly throughout 1996–2015 and thus merit the greatest conservation attention. 2) Klipspringer, mongoose, oribi, porcupine, cheetah, leopard, ostrich and Sykes monkey numbers also decreased noticeably but not significantly between 1996 and 2015. 3) Dik dik, eland, African hare, Jackal, duiker, hippo and Thomson’s gazelle numbers first increased and then declined between 1996 and 2015 but only significantly for duiker and hippo. 4) Aardvark, serval cat, colobus monkey, bat-eared fox, reedbuck, hyena and baboon numbers first declined and then increased but only the increases in reedbuck and baboon numbers were significant. 5) Grant’s gazelle, Grevy’s zebra, lion, spring hare, Burchell’s zebra, bushpig, white rhino, rock hyrax, topi, oryx, vervet monkey, guinea fowl, giraffe, and wildebeest numbers increased consistently between 1996 and 2015. …”

Forest Fragmentation Analysis in the Municipalities of Corumbiara and Buritis, Rondônia State, Brazil by Olívia Bueno Costa (6136220)

“…Results indicated an increase in the number of patches in the area of study in the past decade, with an increase in edge effects, significant reduction of forest class area, and a decrease in the connectivity of forest patches. …”

Single population model can account for empirical occurrence rate but not for recurrence rates. by Selver Demic (646341)

“…The parameters of the model are: <i>a = 4.65; b = −3; c = 0.175; d = 5; I = 0.02</i>. …”

Results of the host-derived enforcement after defining the minimal growth medium. by Nantia Leonidou (14833068)

“…Compared to the blood medium, these targets proved to have a greater impact on the virus growth leading to a higher decrease than GK1.…”

Influence of the quenching temperature. by Naresh Kasoju (638571)

“…<p>SEM images of the cross section and the outer surface of PLCL300 foams (5% w/v) prepared at various quenching temperatures (−25, −80 and −196°C) for 30 s revealed that the increase in the quenching depth promoted the organization of pores with a significant decrease in the average pore size, but with a slight alteration in the overall foam thickness. …”

Profile of the photodynamic effects based on the time constant (<i>T</i>) and the growth rate (<i>r</i>). by Hamanou Benachour (299903)

“…The bottom left-hand corner (C) is the ideal case: a rapid decrease followed by a null steady-sate growth. …”

Association with successful loading of dofetilide. by Andrew E. Levy (8207616)

Controlling the G-protein signaling of Rs1 by Wei Chun Chang (43479)

“…Replacing i3 of Rs1 with that of 5-HT_1A resulted in a G_i coupled RASSL with no G_s/q signaling and G_i signaling (Rs1.3).…”

Representative MEGA-PRESS spectra. by Lars Michels (153103)

“…The GABA peak at 3.0 ppm appears to increase between the resting spectrum and the first WM spectrum, and then decrease during performance of the WM task (panels 2-5). …”

The inactivation of MYC and/or <i>K-ras^G12D</i> in lymphoma is associated with the dephosphorylation of Stat3. by Phuoc T. Tran (86869)

“…<p>Oncogene inactivation in lymphoma demonstrates decrease in Stat3 signaling. (A) LM lymphoma cells show decreased phospho-Stat 5 staining by flow cytometry analysis upon oncogene inactivation, while LR and LMR lymphoma cells do not. …”

Recombination occurs in all hepatic cell populations, including those that produce HGF. by Kari Nejak-Bowen (392168)

“…<p>(<b>A</b>) Separation of hepatic cell populations from HGF^{ex.5 flox};Mx1-cre mice into hepatocytes and NPCs shows recombination in both after p(I):p(C) treatment as compared to controls. …”

Analysis of the relative expression of the PTEN pathway genes. by Edurne Novella-Maestre (746958)

“…A significant decrease was detected only in the fresh tissues that underwent IVA treatment when ∆Ct were analyzed (G1 <i>vs</i>. …”

Test losses of each artificial neural network. by Kalyn M. Kearney (11378306)

“…<p>Test losses across epochs through 5-fold cross-validation for feedforward (a) and LSTM (b) neural network models. …”

Sensitivity analyses of model parameters for the light environment, algal biomass, and ocean carbonate system. by Paul G. Matson (290884)

“…<p>Values represent the percent change in estimated pH in response to an increase/decrease of each parameter value by 5%. Null value of each parameter is listed in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0107239#pone-0107239-t002" target="_blank">Table 2</a>.…”

Data characterization. by Francisco Galuppo Azevedo (10326276)

“…Both distribution are heavy tailed, but the distribution for institutions seems to follow a power law with cutoff at <i>x</i> = 10⁵.…”

Relative change of protein markers in MDD or schizophrenia against their p-values. by Enrico Domenici (128020)

“…Reference vertical line corresponds to p-value threshold at a 5% significance level, after correction for multiple testing. …”

Assessing government-nonprofit collaborations and density of nonprofit organizations in Brazil by Marcelo Marchesini da Costa (10427220)

“…The rate of contracts between the federal government and nonprofits in each Brazilian municipality is associated with the decrease of income inequality, but it is also significantly associated with a lower level of human development. …”

Ballistic motor learning consolidates over time and with increased initial training; Passage of time hinders between-task interference. by Jesper Lundbye-Jensen (240085)

“…<p>(<b>a</b>) Learning curves for the FT task. Group 3 (red) practiced the competing accuracy task after a 3 h40 min break. …”