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)

Liver weights were normalized by the mouse body weight to derive the %liver weight. by Bryan S. Margulies (21492667)

Inhibitor versus the normalized dose response curves. by Bryan S. Margulies (21492667)

Baseline characteristics. by Daniela Sánchez-Santiesteban (21192342)

“…</p><p>Conclusion</p><p>Significant income-based disparities in colorectal cancer survival were observed among formal employees in Colombia despite the theoretically equitable healthcare system. …”

Model selection based on best fit. by Angelina Mageni Lutambi (22097223)

“…The results showed that malaria incidence decreased with greater variance across Tanzania. Mean malaria incidence decreased from 0.347 (95% CI: 0.336, 0.357) in 2000 to 0.118 (95% CI: 0.114, 0.122) in 2020, relative to the increasing insecticide-treated bednets (ITNs) coverage (0.037; 95% CI: 0.036, 0.039 in 2000 to 0.496; 95% CI: 0.476, 0.517 in 2020). …”

Effect of <i>Rps</i> lectins on the bacterial extracellular matrix. by Mariama D. Carter (19727487)

Group results for Experiment 1 and 2. by Adam M. Roth (19845864)

S1 File - by Kimesh Loganathan Naidoo (19697486)

“…Of the 45 015 admissions analysed, 1237(2·75%) demised with significant decreases in admissions during all the lockdown levels, with the most significant mean monthly decrease of 450(95%, CI = 657·3, -244·3) p<0·001 in level 5 (the most severe) lockdown. …”

Results of MC simulations of VO and agonist infusion. by Johane H. Bracamonte (12883844)

Effects of receptor blockers on VO-induced hypertrophy in published experiments and the calibrated model. by Johane H. Bracamonte (12883844)

Validation of model predictions of growth during infusion of hypertrophic agonists with and without receptor blockers. by Johane H. Bracamonte (12883844)

Cortical and subcortical regions feature distinct early and late responses during audition. by Sarah H. McGill (22505225)

Passive listening and go/No-go tasks feature comparable electrophysiological responses. by Sarah H. McGill (22505225)

Overall program sustainability assessment results. by Amanda Marr Chung (21696743)

Assessment of soil erosion risks and prioritizing nature-based conservation practices using RUSLE, geospatial techniques and household surveys in central Ethiopia by Gamachu Yadata Nugusa (22683061)

“…The mean sediment yield (SY) increased from 8.82 t/ha/yr (1990) to 27.19 t/ha/yr (2023), exceeding the limits (0−10 t/ha/yr). …”

Complexity comparison of different models. by Li Yuan (102305)

“…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. The model uses fixed K-mean algorithm for feature classification and optimizes median filtering algorithm using dynamic thresholding. …”

Dynamic window based median filtering algorithm. by Li Yuan (102305)

“…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. The model uses fixed K-mean algorithm for feature classification and optimizes median filtering algorithm using dynamic thresholding. …”

Flow of operation of improved KMA. by Li Yuan (102305)

“…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. The model uses fixed K-mean algorithm for feature classification and optimizes median filtering algorithm using dynamic thresholding. …”

Improved DAE based on LSTM. by Li Yuan (102305)

“…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. The model uses fixed K-mean algorithm for feature classification and optimizes median filtering algorithm using dynamic thresholding. …”