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). …”

Serum ferritin levels in long COVID patients in the ME/CFS group and non-ME/CFS group. by Satoru Morita (353644)

Prevalence of brain fog symptoms in long COVID patients in the ME/CFS group and non-ME/CFS group. by Satoru Morita (353644)

Proportions of patients with ME/CFS related to long COVID who were infected during the three variant periods. by Satoru Morita (353644)

Effect of supplementation of oocyte maturation medium (OMM) with follicular fluid (FF) from small or large follicles on development of embryos to the blastocyst stage. by Verónica M. Negrón-Pérez (20691412)

Effect of follicular fluid (FF) supplementation and time of maturation on development of embryos to the blastocyst stage. by Verónica M. Negrón-Pérez (20691412)

Effect of follicular fluid (FF) supplementation during the maturation period on cumulus cell expansion. by Verónica M. Negrón-Pérez (20691412)

Comparison of the clinical characteristics of long COVID patients in the ME/CFS group and the non-ME/CFS group in the three variant periods. by Satoru Morita (353644)

Bar graphs showing the means and 95% CI of each retinal layer thickness at each visit. by Jung-Tae Kim (8997767)

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Flow diagram showing number of subjects included in the study population. by Jung-Tae Kim (8997767)

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Macular regions analyzed by spectral-domain optical coherence tomography scan in the retinal thickness map analysis. by Jung-Tae Kim (8997767)

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Parafoveal thickness in each retinal layer at each visit. by Jung-Tae Kim (8997767)

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Rates of change in each retinal layer thickness, calculated using linear mixed models. by Jung-Tae Kim (8997767)

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Linear mixed-effect model determination of factors associated with changes in best-corrected visual acuity. by Jung-Tae Kim (8997767)

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Baseline demographic characteristics. by Jung-Tae Kim (8997767)

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This file contains the complete dataset analyzed in the current study, including all variables used for statistical modeling. by Jung-Tae Kim (8997767)

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Basic characteristics included in the study. by Juan Gu (288925)

“…A fixed-effects model was applied if P > 0.1 and I² ≤ 50%; otherwise, a random-effects model was used to account for significant heterogeneity Publication bias was assessed using funnel plots and Egger’s test. …”

Publication bias of the risk of all groups. by Juan Gu (288925)

“…A fixed-effects model was applied if P > 0.1 and I² ≤ 50%; otherwise, a random-effects model was used to account for significant heterogeneity Publication bias was assessed using funnel plots and Egger’s test. …”

Study selection process. by Juan Gu (288925)

“…A fixed-effects model was applied if P > 0.1 and I² ≤ 50%; otherwise, a random-effects model was used to account for significant heterogeneity Publication bias was assessed using funnel plots and Egger’s test. …”

Regional Characteristics in Ultradeep MXene Slit Nanopores: Insights from Molecular Dynamics Simulation by Kaiqing Sun (18715965)

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