Cross-modal hubs. by Justine Y. Hansen (17041502)

MPA increased expression of CD36 and lipid droplet formation in CAFs of obese women. by Intan Sofia Omar (10451088)

Effects of N-terminal domain manipulations on SAUR63 fusion protein localization. by Punita Nagpal (185838)

UVR8-dependent stabilization of HFR1 suppresses activation of shade marker genes. by Eleni Tavridou (8822789)

<i>P</i>_<i>EST</i>:<i>SAUR63</i>^{<i>NAAIRS</i>}:<i>CerFP</i>:<i>HA</i> lines. by Punita Nagpal (185838)

Normalised average peak EMG plots for all six lower limb muscles. by Eric Yung-Sheng Su (13015474)

Visual field changes after vitrectomy with internal limiting membrane peeling for epiretinal membrane or macular hole in glaucomatous eyes by Shunsuke Tsuchiya (4033583)

“…Postoperative visual field sensitivity at each test point was compared with the preoperative value. Longitudinal changes in mean visual field sensitivity (MVFS) of the 12 test points within 10° eccentricity (center) and the remaining test points (periphery), best-corrected visual acuity (BCVA), intraocular pressure (IOP), and ganglion cell complex (GCC) thickness, and the association of factors with changes in central or peripheral MVFS over time were analyzed using linear mixed-effects models. …”

Case selection flow chart. by Sara Garcia-Ptacek (693846)

“…The mortality in non-COVID geriatric patients showed a similar trend, but of lower magnitude (5–10%). …”

One and Done Epinephrine in Out-of-Hospital Cardiac Arrest? Outcomes in a Multiagency United States Study by Nicklaus P. Ashburn (9470666)

“…However, ROSC was more common post-implementation [42.3% (380/899) vs. 32.5% (257/791); OR 0.66, 95%CI 0.54–0.81]. After adjusting for covariates, the single-dose protocol was associated with similar survival to discharge rates (aOR 0.88, 95%CI 0.77–1.29), but with decreased ROSC rates (aOR 0.58, 95%CI 0.47–0.72).…”

Table_5_The effect of various types and doses of statins on C-reactive protein levels in patients with dyslipidemia or coronary heart disease: A systematic review and network meta-... by Jie Zhang (64655)

<i>F. novicida</i> deletion mutants of a putative transglutaminase are severely attenuated in virulence and growth. by Madeleine G. Moule (243057)

“…The difference between the mean number of CFUs of wild-type and FTN_0869 has decreased at every timepoint, with only a 2.9-fold increase in wild-type bacteria compared to FTN_0869 bacteria at 24 hours, 6-fold more bacteria in U112 infected flies at 48 hours, and only 4-fold more U112 bacteria than FTN_0869 bacteria at 72 hours. …”

Effect of PAO treatment on plasma membrane localization of SAUR63:YFP fusion proteins. by Punita Nagpal (185838)

PIL1 and HFR1 act redundantly in UVR8-mediated repression of shade-induced <i>FHL</i> and <i>PIL2</i> expression. by Eleni Tavridou (8822789)

Percentage of cytotoxicity of PC3 cells in presence of DRS-B2, sodium chlorate and CS-C. by Célia Dos Santos (306471)

High-Strength Single-Walled Carbon Nanotube/Permalloy Nanoparticle/Poly(vinyl alcohol) Multifunctional Nanocomposite Fiber by Gengheng Zhou (1494130)

High-Strength Single-Walled Carbon Nanotube/Permalloy Nanoparticle/Poly(vinyl alcohol) Multifunctional Nanocomposite Fiber by Gengheng Zhou (1494130)

High-Strength Single-Walled Carbon Nanotube/Permalloy Nanoparticle/Poly(vinyl alcohol) Multifunctional Nanocomposite Fiber by Gengheng Zhou (1494130)

MMP2 and MMP9 regulate C643 invasion. by Muhammad Yasir Asghar (423105)

Description of variables. by Qianwen Bai (12034089)

“…The results show that: (1) the change in mixed energy and sectorial income shows a negative influence, while energy intensity (EI) and population have an increasing trend over the study period. (2) The EI effects of the industrial, agriculture and transport sectors are continuously rising, which is lowering the income potential of each sector. (3) The cumulative values for the industrial, agricultural, and transport sectors increased by 57.3, 5.3, and 79.7 during 2019. …”

S1 Appendix - by Qianwen Bai (12034089)

“…The results show that: (1) the change in mixed energy and sectorial income shows a negative influence, while energy intensity (EI) and population have an increasing trend over the study period. (2) The EI effects of the industrial, agriculture and transport sectors are continuously rising, which is lowering the income potential of each sector. (3) The cumulative values for the industrial, agricultural, and transport sectors increased by 57.3, 5.3, and 79.7 during 2019. …”