Average wellness for matchday, MD by Ivan Baptista (5278874)

“…Sleep quality decreased on MD+1 (Estimate: -0.72; SE=0.14; p<0.001). …”

Data. by Michael C. Payne (2664379)

“…Using a generalized estimating equation model that accounted for age, sex, bednet use, and sentinel site, we found no significant difference in the effectiveness of the two treatment approaches (p = 0.845 for Mf and p = 0.332 for CFA). …”

Spatial econometric model estimation results. by Zijie Li (776536)

IRE1 silencing downregulates cell cycle genes and engages TP53 and specific CDK inhibitors. by Iratxe Zuazo-Gaztelu (21071939)

A Comparison of Pediatric Prehospital Opioid Encounters and Social Vulnerability by Stephen Sandelich (19991783)

“…The analysis demonstrated that as socioeconomic status (SES) improves, the likelihood of opioid-related activations increases significantly supported by a significant negative linear trend (Estimate = −0.2971, SE = 0.1172, z = −2.54, <i>p</i> = 0.0112. …”

<i>Ctsz</i>^{<i>−/−</i>} mice have higher lung burden and earlier spleen dissemination during acute infection followed by greater chronic inflammation and mortality risk.... by Rachel K. Meade (22216529)

Analysis of spatial overlap between the released red panda and the suitable habitat of local wild individuals. by Yanshan Zhou (14131359)

Scores of Burnout, Resilience, and PTS Over Time. by Rachel G. Baskin (22127334)

“…</p><p>Conclusions</p><p>Post-traumatic stress peaked in 2020 during lockdown in the United States and decreased significantly by 2022. Resilience and burnout did not change between 2020 and 2022. …”

RM-ANOVA Post hoc Testing for PTS Across Time. by Rachel G. Baskin (22127334)

“…</p><p>Conclusions</p><p>Post-traumatic stress peaked in 2020 during lockdown in the United States and decreased significantly by 2022. Resilience and burnout did not change between 2020 and 2022. …”

Age-standardized hepatocellular carcinoma (HCC) incidence rates, by viral hepatitis status, the surveillance, epidemiology, and end results–medicare database, 2007–2017. by Joy Jiang (5483006)

Estimating RSA Variability in Each SCP Condition. by Hikari Otsuka (18605246)

Global transcriptional analysis for activated gametocytes of Δ<i>pbpp6</i> parasites by RNA-seq. by Yonghui Feng (12227596)

Prevalence and trends of gynecological diseases (GDs) among women of childbearing age, by age group and SDI. by Xiaofeng He (2618752)

Prevalence of gynecological diseases (GDs) among women of childbearing age in 2021, along with their changes from 1990 to 2021, and the contribution of each GD to the overall preva... by Xiaofeng He (2618752)

Distribution of Pre-existing Medical Conditions. by Sepideh Hejazi (16227860)

“…</p><p>Results</p><p>Initial clinical presentations differed significantly, eneralized Estimating Equations (GEE) analysis, adjusted for comorbidities, revealed COVID-19 history was associated with increased platelet counts <i>(P</i> = 0.0311) and decreased facial swelling <i>(P</i> = 0.049) and fever symptom reporting <i>(P</i> < 0.001). …”

Influencing factors of APCA. by Wenping Ning (19871091)

“…Besides, the change of APCA had significant spatial spillover effect, and highly advantage provinces featured more prominent proactive spillovers. 3) There is significant heterogeneity among the influencing factors.…”

Temporal trends in APCA. by Wenping Ning (19871091)

“…Besides, the change of APCA had significant spatial spillover effect, and highly advantage provinces featured more prominent proactive spillovers. 3) There is significant heterogeneity among the influencing factors.…”

Traditional Markov transfer probability matrices. by Wenping Ning (19871091)

“…Besides, the change of APCA had significant spatial spillover effect, and highly advantage provinces featured more prominent proactive spillovers. 3) There is significant heterogeneity among the influencing factors.…”

Spatial Markov transfer probability matrix. by Wenping Ning (19871091)

“…Besides, the change of APCA had significant spatial spillover effect, and highly advantage provinces featured more prominent proactive spillovers. 3) There is significant heterogeneity among the influencing factors.…”

Three-dimensional kernel density of APCA. by Wenping Ning (19871091)

“…Besides, the change of APCA had significant spatial spillover effect, and highly advantage provinces featured more prominent proactive spillovers. 3) There is significant heterogeneity among the influencing factors.…”