Trust levels before and after the COVID-19 pandemic (n = 10,000). by Alain Abi-Rizk (8549358)

Trust change by gender. by Alain Abi-Rizk (8549358)

“…Results indicate that respondnatds from North America and Europe Experienced an increase in trust where as Africa and South America Witnessed a decline in trust. Males exhibited a greater decline in trust than females (p = 0.038), and undergraduate degree holders showed the largest decrease (p = 0.001). …”

Trust change by age group. by Alain Abi-Rizk (8549358)

“…Results indicate that respondnatds from North America and Europe Experienced an increase in trust where as Africa and South America Witnessed a decline in trust. Males exhibited a greater decline in trust than females (p = 0.038), and undergraduate degree holders showed the largest decrease (p = 0.001). …”

Trust change by education level. by Alain Abi-Rizk (8549358)

“…Results indicate that respondnatds from North America and Europe Experienced an increase in trust where as Africa and South America Witnessed a decline in trust. Males exhibited a greater decline in trust than females (p = 0.038), and undergraduate degree holders showed the largest decrease (p = 0.001). …”

Trust change by source of science information. by Alain Abi-Rizk (8549358)

“…Results indicate that respondnatds from North America and Europe Experienced an increase in trust where as Africa and South America Witnessed a decline in trust. Males exhibited a greater decline in trust than females (p = 0.038), and undergraduate degree holders showed the largest decrease (p = 0.001). …”

Tissue, days post-infection (dpi) and the top 10 most significant genes with increased and decreased expression with valid gene symbols for the response contrasts. by Gillian P. McHugo (8965919)

Decreasing oxygen saturation with corresponding levels of NLR and D-dimer for understanding the interplay of inflammation. by Narendran Gopalan (110148)

Soft phyllite specimens at different degrees of weathering: (a) strongly weathered; (b) weakly weathered; (c) slightly weathered. by Hong Zhang (25820)

Subjects:

Comparison of interventional parameters: Use of emergency phone vs. non-use. by Jonathan Nadjiri (665209)

Summary of DFE & dominance models used for simulations. by Christopher C. Kyriazis (19713344)

Preprocessed data used for further analysis. by Francesco Colussi (22421582)

Affordability calculation using conventional method (2000RIP). by Ridzuan Kunji Koya (20234865)

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Variables used for the analysis. by Yaw Nyarko Opoku-Boateng (20477302)

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Population genetic parameters used to scale the DFE in terms of <i>s</i>. by Christopher C. Kyriazis (19713344)

Affordability calculation using actual consumption estimates (ConsumptionRIP). by Ridzuan Kunji Koya (20234865)

Subjects:

Datasets used in the study. by Rajon Banik (12066099)

“…The availability of oral pills, injectables, and male condoms increased over this period, while the availability of long-acting reversible contraceptives (LARCs) slightly decreased, and permanent methods (PMs) remained nearly unchanged. …”

Characteristics and doses of fertilizers and preparations used. by Dominika Radzikowska-Kujawska (14439076)

Subjects:

GI-1d-a: Comparison of estimates of people for dataset A (left bar) and B (right bar) per region. The largest discrepancies occur in areas of NE, SE and SW Germany and adjacent reg... by Isabell Schmidt (6331013)

Summary of nanostructured additives used in this study, including type, morphology, dimensions, and source or preparation method. by Nasser A. M. Barakat (11705885)

Relationship between <i>D</i> on <i>I</i>_s at different weathering levels (R²: 0.82, 0.89, 0.93 for highly, moderately, and slightly). by Hong Zhang (25820)

Subjects: