Inclusion and exclusion criteria delineated via the PCC (Population, Concept, Context) search framework. by Rabia Asghar (18840759)

Selection frequencies plotted in decreasing order. by Hannah P. Rowe (7830599)

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). …”

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

Distribution of individual change in trust in science before and after the pandemic (n = 10,000). by Alain Abi-Rizk (8549358)

Fig 3 - by Calvin P. Philp (12095878)

CD5-2 decreases established CCM lesions in the hindbrain of <i>Ccm2</i>^<i>ECKO</i> mice and lesions in the retina of <i>Ccm2</i>^<i>ECKO</i> mice. by Jia Li (160557)

Decline for a Delicacy: are decreasing numbers of Yellow-eyed penguins on Stewart Island a result of commercial oyster dredging? by Thomas Mattern (7910438)

Ethnic identity as a moderator among APIDA students. by Ronna Bañada (19233063)

Species richness (<i>SR</i>, upper panels) and Shannon’s entropy (<i>SE</i>, lower panels) vs. the rate in which new species are trying to invade the community, <i>νN</i>. by Immanuel Meyer (12306666)

DataSheet1_Remote sensing modeling of environmental influences on lake fish resources by machine learning: A practice in the largest freshwater lake of China.docx by Tan Chen (571832)

“…However, the impact of environmental change on lake fishery resources has been largely blurred in assessments due to the complicated variables of the lake environment. Here, taking the largest freshwater lake (Poyang Lake) in China as a study case, we first proposed a conceptual model and simulated the effect of environmental variables on fish catches based on remote sensing techniques and machine learning algorithms. …”

Cell viability after AdNKX2-1 and AdLacZ infection. by Yuko Ito (1976692)

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The effects of siARG2 or siRGS4 on AdNKX2-1-induced cell death, apoptosis, and necrosis. by Yuko Ito (1976692)

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ARG2, RGS4, and RGS5 expression in BHP18-21v cells analyzed using real-time PCR and western blotting. by Yuko Ito (1976692)

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ARG2 and RGS4 expression in siRNA-transfected cells after AdNKX2-1 infection. by Yuko Ito (1976692)

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Apoptosis and necrosis detection in BHP18-21v cells after adenoviral vector infection. by Yuko Ito (1976692)

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Greenhouse Gas and Air Pollutant Emissions from Composting by Sarah L. Nordahl (9148006)

“…However, the composting process is also a source of greenhouse gas and air pollutant emissions. …”