A visuomotor force tracking task imposing bimanual cooperation. by Sophie Chen (393038)

“…Each trial was was divided into 4 characteristic periods: an ascending ramp of 4.5 s with a force level linearly increasing from 0 to 1.5 N, a static force period of 3 s with a force level fixed at 1.5 N (<b>SF1.5</b>), a descending ramp of 3 s with a force level linearly decreasing from 1.5 to 0.5 N, and a static force period of 3 s with a force level fixed at 0.5 N (<b>SF0.5</b>). …”

ME of different durations induced a reduction of MABP and HR. by Dominga Lapi (680476)

“…After 5 minutes ME, HR persisted significantly reduced up to 140 minutes (open circle), while after 10 (filled circle) or 15 minutes (grey circle) ME, HR was significantly decreased up to 160 minutes. …”

Hyperphosphorylation as a Defense Mechanism to Reduce TDP-43 Aggregation by Huei-Ying Li (210957)

“…S5A mutation aggravated, but S5E mutation alleviated these cytotoxic effects of aggregates. …”

Liver and plasma MDA and 8-ISOP activities and reducing power. by Yung-Yi Chen (782225)

A Randomized, Placebo Controlled, Double Masked Phase IB Study Evaluating the Safety and Antiviral Activity of Aprepitant, a Neurokinin-1 Receptor Antagonist in HIV-1 Infected Adul... by Pablo Tebas (27720)

“…<div><h3>Background</h3><p>Neurokinin-1 receptor (NK1R) antagonists have anti-HIV activity in monocyte-derived macrophages, decrease CCR5 expression and improve natural killer cell function <em>ex vivo</em>. …”

Data Sheet 1_A multimodal approach for establishing ACTL6A and ERCC1 as chemoresistance genes in locally advanced head and neck cancer.docx by Raushan Kumar Chaudhary (15664043)

“…The median expressions of ERCC1 were significantly increased (p < 0.001) after 50% (0.19) and 100% CRT (0.23) compared to the baseline value (0.14), whereas ACTL6A expression decreased from 4.77 to 3.87 after 50% CRT (p < 0.05) and increased to 5.43 after 100% CRT. …”

Fig 7 - by B. Ulfhake (6293984)

Table_2_Analysis revealed the molecular mechanism of oxidative stress-autophagy-induced liver injury caused by high alkalinity: integrated whole hepatic transcriptome and metabolom... by Xinchi Shang (11982840)

“…Bioinformatic predictions indicated that Unc-51 Like Kinase 2 (ULK2) was a potential target gene for miR-140-5p, demonstrating that high alkalinity triggered autophagy through the miR-140-5p–ULK2 axis. …”

Table_1_Analysis revealed the molecular mechanism of oxidative stress-autophagy-induced liver injury caused by high alkalinity: integrated whole hepatic transcriptome and metabolom... by Xinchi Shang (11982840)

“…Bioinformatic predictions indicated that Unc-51 Like Kinase 2 (ULK2) was a potential target gene for miR-140-5p, demonstrating that high alkalinity triggered autophagy through the miR-140-5p–ULK2 axis. …”

Fig 6 - by B. Ulfhake (6293984)

Image_5_Pharmacological Disruption of Phosphorylated Eukaryotic Initiation Factor-2α/Activating Transcription Factor 4/Indian Hedgehog Protects Intervertebral Disc Degeneration via... by Junping Bao (10931142)

Histology and immunohistochemistry of representative FIV-infected and uninfected cats. by C. D. Eckstrand (844064)

Patient examples. by Ulrike Löbel (3325251)

A simple analyzable cartoon of the tradeoff between reliability and sensitivity. by Aaditya V. Rangan (305264)

Influence of T180A-SHIP2 on LEC functional responses. by Germaine D. Agollah (623510)

“…Data are presented as % of area covered by migrated cells on underside of transwell filters and cells stained with DRAQ5. (<b>D</b>) WT-SHIP2 exhibits increased adhesion (assessed by crystal violet staining) over Vector on BSA and collagen while T180A-SHIP2 shows decreased adhesion to collagen compared to WT. …”

DataSheet_1_Preparing for Life: Plasma Proteome Changes and Immune System Development During the First Week of Human Life.pdf by Tue Bjerg Bennike (3139104)

Diurnal changes in intraocular pressure and blood flow parameters in untreated rabbits. by Nana Takahashi (9999164)

Mean CCECAI over time between the placebo and FMT group. by Allison J. Collier (13977858)

Mathematical model predictions. by Xinxian Shao (4282291)

“…The time scales <i>τ</i>_<i>i</i> are illustrated for <i>D</i> = 1.4 × 10⁵ <i>μ</i>m²/hr. (B) Profile of the nutrient concentration in space at different times using the same parameters as above and <i>D</i> = 5.5 × 10⁵ <i>μ</i>m²/h, as in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1005679#pcbi.1005679.t001" target="_blank">Table 1</a>. …”

Assessing Evidence for a Pervasive Alteration in Tropical Tree Communities by Jérôme Chave (649743)