Primers sequences used in this study. by Abdallah Tageldein Mansour (21158819)

“…The colitic group showed a significant increase (P < 0.05) in C-reactive protein (CRP) and myeloperoxidase (MPO) and nitric oxide (NO) (35.60, 163.30 and 280 nmol/g tissue respectively) and higher expression (P < 0.05) <i>IL-17</i>, <i>TNF-α</i>, and <i>IL-1β</i> (increased up to 2.99, 4.36 and 4.90 respectively unlike PPE-NPsIII that recorded reduced levels of CRP, MPO and NO (8,96, 78.30 and 123 nmol/g tissue respectively) and much lower (P < 0.05) levels of IL-17, TNF-α, and IL-1β expression (decreased to 1.23, 1.69 and 1.64, respectively). …”

Month-by-Month Surveillance Method Performance. by Ariel Greiner (9986971)

A diagram summarizes how high-salt diet (HSD) altered the intestinal morphology and the expression of calcium transporters, namely TRPV6 and PMCA₁. by Natchayaporn Thonapan (14142010)

Training impact on electrical properties of P3 lumbar MNs. Rin: input resistance. Rheobase: lowest intensity of current injected in MNs to elicit an action potential (AP). AP thres... by Camille Quilgars (21156495)

“…Underlying data can be found in the <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3003153#pbio.3003153.s003" target="_blank">S1 Data</a> Sheet.…”

Differential abundance comparison of the rhizosphere of a brassica plant grown alone and brassica’s rhizosphere grown in medium density (24 plants) and high density (48 plants) pol... by Derek R. Newberger (20623964)

Differential abundance comparison of the rhizosphere of a fescue plant grown alone and fescue’s rhizosphere grown in medium density (24 plants) and high density (48 plants) polycul... by Derek R. Newberger (20623964)

Lesioning silent neurons reveals functional role. by Thomas S. Wierda (22404198)

“…Mixed-selective neurons, however, lead to a decreased accuracy when lesioned.</p> <p>(TIFF)</p>…”

Negative Intrinsic Viscosity in Graphene Nanoparticle Suspensions Induced by Hydrodynamic Slip by Adyant Agrawal (22492518)

“…As the concentration of graphene particles increases in the dilute regime, the viscosity initially decreases, falling below that of pure water. At higher concentrations, however, particle aggregation becomes significant, leading to a rise in viscosity after a minimum is reached. …”

Negative Intrinsic Viscosity in Graphene Nanoparticle Suspensions Induced by Hydrodynamic Slip by Adyant Agrawal (22492518)

“…As the concentration of graphene particles increases in the dilute regime, the viscosity initially decreases, falling below that of pure water. At higher concentrations, however, particle aggregation becomes significant, leading to a rise in viscosity after a minimum is reached. …”

Fig 2 - by Varun Tiwari (9258130)

Fig 1 - by Varun Tiwari (9258130)

Phagocytosis of fluorescent latex beads (2 μm) by uninfected and infected PEMs, BMMs, and THP-1 (C) in static culture system. by Alaa Riezk (7037297)

Macropinocytosis of pHrodo Red dextran by uninfected and infected PEMs, BMMs and THP-1) in static culture system. by Alaa Riezk (7037297)

Fig 7 - by Varun Tiwari (9258130)

Phagocytosis of fluorescent latex beads (2 μm) by infected PEMs, BMMs and THP-1 in the three culture systems (static, slow flow rate 1.45 x 10− − 9 m/s and fast flow rate 1.23 x 10... by Alaa Riezk (7037297)

Macropinocytosis of pHrodo Red dextran by infected PEMs, BMMs and THP-1 at the three culture systems (static, slow flow rate 1.45 x 10− − 9 m/s and fast flow rate 1.23 x 10− − 7 m/... by Alaa Riezk (7037297)

Mean uncertainty of <i>boro</i> rice yields estimated by random forest model from 2002–2021. by Varun Tiwari (9258130)

Co-immunoprecipitation and BiFC experiments related to Abd-B and Exd interaction. by Jesús R. Curt (20553231)

“…Protein present in the co-IPs is indicated above the gels. There is a significant decrease in the amount of the Abd-B^W protein captured on the resin when compared to the Abd-B wildtype protein (24%), while Exd remains almost unchanged (2%). …”

Fig 5 - by Varun Tiwari (9258130)

Accuracy of the random forest regression model with various input variables (all inputs vs. top 30 inputs). by Varun Tiwari (9258130)