Decrease in vRNA in brain during antiretroviral therapy. by Sonny R. Elizaldi (9684796)

Transcriptional and translational markers of syncytialization and biochemical differentiation are significantly decreased by rotenone. by O’Llenecia S. Walker (8486163)

Variable importance plot (mean decrease accuracy and mean decrease Gini). by Fernando Martinez-Taboada (8655132)

TBEV-induced translational arrest results in the decreased protein levels of GAPDH, HPRT1, and viperin. by Martin Selinger (3195987)

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

Ce6 decreases the amount of TMV PQS5 upon photo-irradiation. by Congbao Xie (17599247)

Detection of the Challenging mutations at 1% VAF and 50 ng DNA input. by Lizhi Yu (12476136)

Subjects:

Frequency of occurrence (%) of decreased performances in relation to gender. by Philip X. Fuchs (11027636)

Scenario (6): Parameter variation (50% decrease)—With 5 N.m load applied at t = 0.3s. by Djaloul Karboua (16510091)

“…<p>Scenario (6): Parameter variation (50% decrease)—With 5 N.m load applied at t = 0.3s.…”

Hypothesis that explains and predicts expansion of ages of KD due to decreased IgG levels. by Hiromi Yamaguchi (2396248)

Trend of temperature decrease in thermogradient freezer during the night from 7:00 P.M. to 5:00 A.M. by Alireza Hasanfard (13919335)

Frequency of occurrence (%) of decreased performances in relation to the country of the student-athletes. by Philip X. Fuchs (11027636)

SARS-CoV-2 inhibits SG formation and decreases expression of G3BP1. by Stacia M. Dolliver (13822801)

Decrease in circulating iNKT cell activation during regadenoson (RA) infusion into patients with COVID-19. by Joseph Rabin (7399436)

Subjects:

Changes (increase/decrease) in breadfruit suitability over the next 50 years under (top) RCP 4.5 and (bottom) RCP 8.5. by Kalisi Mausio (8881763)

“…<p>Changes (increase/decrease) in breadfruit suitability over the next 50 years under (top) RCP 4.5 and (bottom) RCP 8.5.…”

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)

Subjects:

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)

Subjects:

Detailed meta–analyses in untreated hypothyroid patients compared with controls for each HRV parameters: RR intervals, SDNN, RMSSD, pNN50, TP, LF, HF, LF/HF. by Valentin Brusseau (12769704)

Excision of HIF1α decreases viral reactivation from latency in infected splenocytes in vivo. by Darlah M. López-Rodríguez (8098544)

Comparison of ∑PCDD/F, PCDD/F TEQ, ∑PCB, PCB TEQ and ∑TEQ concentrations in eggs analyzed in this study and other relevant studies (pg/g ww except for ∑PCB ng/g ww, geometric mean... by Matti Viluksela (321291)