Elasticity and return to scale. by James Anaba Akolgo (14129379)

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Summary of selected variables in frontier and inefficiency models. by James Anaba Akolgo (14129379)

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Regression models of COVID-19-related racial discrimination and depression symptoms among the full sample. by Ronna Bañada (19233063)

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

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Regression models of COVID-19-related racial discrimination and anxiety symptoms among the full sample. by Ronna Bañada (19233063)

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Pneumococcal (black bars) and influenza (white bars) vaccine coverage in patients living with comorbidities (A), and immunosuppressive conditions (B) according to age of 65 years,... by Benjamin Wyplosz (22032756)

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Examples of positive, negative, and neutral tweets. Each tweet is assigned to only one of the categories based on its sentiment score calculated by VADER. by Yuqi Zhang (286958)

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Monthly volume distribution and sentiment score of five topic groups. by Yuqi Zhang (286958)

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Top 10 words and their associated weights for the 10 topics prior to manual grouping. by Yuqi Zhang (286958)

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Characteristics associated with pneumococcal primary vaccination (A) and 2020−21 seasonal influenza vaccination (B) in patients with immunodepression in France in 2020 (multivariab... by Benjamin Wyplosz (22032756)

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Pneumococcal (black bars) and influenza (white bars) vaccine coverage in patients living with comorbidities (A), and immunosuppressive conditions (B), who are at risk of pneumococc... by Benjamin Wyplosz (22032756)

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The sentiment score and number of tweets per month from 09/01/2018 to 01/31/2020. by Yuqi Zhang (286958)

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Study population: patients living with comorbidities (on the left) and immunosuppressive conditions (on the right) who are at risk of pneumococcal disease in France in the year 202... by Benjamin Wyplosz (22032756)

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Characteristics associated with pneumococcal primary vaccination (A) and 2020−21 seasonal influenza vaccination (B) in patients with comorbidities in France in 2020 (multivariable... by Benjamin Wyplosz (22032756)

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The theme, top terms, and description of five topic groups. by Yuqi Zhang (286958)

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Characteristics of patients at risk of pneumococcal disease in France in 2020 and vaccination rates. by Benjamin Wyplosz (22032756)

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Volume distribution and sentiment of positive, negative, and neutral tweets. by Yuqi Zhang (286958)

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Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane by Ching Yoong Loh (17863097)

“…Thermal and mechanical characterizations confirmed the great stability of the membranes, with the Diels–Alder reaction enabling depolymerization and reformation of the network without causing significant degradation. Additionally, the RFMs were recycled the third time, maintaining the fluxes (752 to 823 LMH) from the previous generation with a slight decrease in separation efficiency in dichloromethane-water emulsion separation (98.3 to 97%). …”

Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane by Ching Yoong Loh (17863097)

“…Thermal and mechanical characterizations confirmed the great stability of the membranes, with the Diels–Alder reaction enabling depolymerization and reformation of the network without causing significant degradation. Additionally, the RFMs were recycled the third time, maintaining the fluxes (752 to 823 LMH) from the previous generation with a slight decrease in separation efficiency in dichloromethane-water emulsion separation (98.3 to 97%). …”

Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane by Ching Yoong Loh (17863097)

“…Thermal and mechanical characterizations confirmed the great stability of the membranes, with the Diels–Alder reaction enabling depolymerization and reformation of the network without causing significant degradation. Additionally, the RFMs were recycled the third time, maintaining the fluxes (752 to 823 LMH) from the previous generation with a slight decrease in separation efficiency in dichloromethane-water emulsion separation (98.3 to 97%). …”