Comparison of wind roses between ERA5 reanalysis and in-situ measured data. a: W03 station, b: W08 station, c: W13 station and d: W19 station. by Weidong Ji (129916)

Frequency distribution of the hourly ERA5 reanalysis vs observations illustrating the best score (a: W02 station and b: W11 station) and the poorest score (c: W18 station and b: W1... by Weidong Ji (129916)

LuxR G37V has decreased DNA-binding activity. by Chelsea A. Simpson (9579303)

Analysis of MD simulations for the SP domain of native PC and its mutant structures (L305R, W342C, G403R, V420E, and W444C) over 200 ns simulations. by Mahvash Farajzadeh-Dehkordi (17468232)

2wT scale-up flow chart. by Phiona Marongwe (6818120)

Subjects:

Latent growth curve model estimating the change in moderate-to-vigorous physical activity (MVPA) from follow-up surveys W1 to W3. by Glen E. Duncan (9238792)

Parallel process latent growth curve model estimating the parallel changes in moderate-to-vigorous physical activity (MVPA) and anxiety from follow-up surveys W1 to W3. by Glen E. Duncan (9238792)

Workplace prevalence trajectories in the “University” case study, where workplace transmission can decrease as a result of mitigations introduced upon an increase in prevalence.... by Sarah F. Poole (11268956)

Data_Sheet_1_Thrombotic Events in COVID-19 Are Associated With a Lower Use of Prophylactic Anticoagulation Before Hospitalization and Followed by Decreases in Platelet Reactivity.d... by Chantal C. Clark (10684632)

“…</p><p>Conclusion: We observed an association between the use of preexisting thromboprophylaxis and a decreased risk of TE during COVID-19. …”

MMR mutants show decreased mating-type silencing. by Qian Liu (135614)

“…<b>(B)</b> Confirmation of <i>pms1Δ</i>, <i>mlh1Δ</i>, and <i>msh2Δ</i> decreased mating-type silencing phenotype by PCR knockout using the <i>natMX4</i> marker. …”

Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 12 covariates chosen using subjective feature selection. by Dennis Ochola (11626912)

Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 17 covariates selected after recursive feature selection. by Dennis Ochola (11626912)

Effects of SNPs on the Protein Stability, Increasing or Decreasing. by Mirza Jawad Ul Hasnain (8351388)

Clustering of metastable states using the first 50 ns of post-translational folding trajectories of CAT-III with ligand bound. by Yang Jiang (46459)

Fig 5 - by Debarpan Dhar (724473)

Ppk1 levels are not affected by decreasing dendrite arbor size but are reduced when dendrite length increases. by Josephine W. Mitchell (17364781)

Acute starvation decreases the Brp::rGFP heterogeneity level among γcompartments. by Hongyang Wu (8856740)

Pan-neuronal <i>dMaf1</i> knockdown decreases <i>dMaf1</i> mRNA level in brains and consistently extends lifespan. by Bowen Xu (5903801)

Neutralization potency decreases 6-months post 2^nd vaccine but breadth and potency increase after a 3^rd vaccine dose. by Carl Graham (9415779)

Feature importance: (a) 5 discriminatory features along with their importance scores and standard deviation (in the decreasing order) affecting infected and death scores based on randomized decision trees; (b) principal component analysis on the 5 features showing that the most highly COVID-19 affected states form two groups: (1) early epicenters colored red and (2) states experiencing strong second wave or peaking late w.r.t. infection and death counts (colored brown). by Satyaki Roy (9557585)

“…<p>Feature importance: (a) 5 discriminatory features along with their importance scores and standard deviation (in the decreasing order) affecting infected and death scores based on randomized decision trees; (b) principal component analysis on the 5 features showing that the most highly COVID-19 affected states form two groups: (1) early epicenters colored red and (2) states experiencing strong second wave or peaking late w.r.t. infection and death counts (colored brown).…”