ELISA analysis revealed a significant decrease in SP (A & B) and CGRP (C & D) protein levels in the corneas and tear fluid of mice treated with 0.5% bupivacaine (BUP) every alternate day for 15 days (administered via subconjunctival injection (SCI) alone or in combination with topical (TOP) application) compared to PBS-treated controls. by Ananya Datta (19932144)

Quantification of bacterial adhesion revealed a significant decrease in the adhesion of <i>S. aureus</i>, <i>S. epidermidis</i>, and <i>P. aeruginosa</i> on blotted corneas of mice... by Ananya Datta (19932144)

Largest changes in influenza vaccine rates, Pre- vs. Post-COVID-19. by Tyler B. Nofzinger (21560244)

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Linear contact model. by Qingwen Li (1510687)

Supplementary file 1_Mechanical properties of 3D voxel-printed materials for cardiovascular tissue imitation.docx by Joël Illi (21449474)

“…However, materials like silicone and 3D-printing polymers differ mechanically from biological tissues. …”

The top 10 putative metabolites with the largest negative fold change between normal and thin cows. by Bhuripit Saraphol (20855573)

The top 10 putative metabolites with the largest positive fold change between normal and thin cows. by Bhuripit Saraphol (20855573)

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

Acute tear versus chronic-degenerated rotator cuff pathologies are associated with divergent tendon metabolite profiles by Katie J. Sikes (15230030)

“…</p> <p>Acute tears to the rotator cuff were associated with an overall decrease in tendon metabolites. …”

Rapid Detection of SARS-CoV‑2 Spike Protein Using a Fully 3D-Printed Electrochemical Biosensor by Dayenny L. D’Amato (22826597)

“…3D printing has been used for the rapid and low-cost fabrication of sensors across various fields. …”

Differences in the muscle force of anterior (A), middle (B), and posterior (C) deltoids in models with and without cuff tears. by Shobu Nakashima (22537717)

Differences in the muscle force of teres minor (A) and long head biceps (B) in models with and without cuff tears. by Shobu Nakashima (22537717)

Average change in trust in science by country (n = 10,000). by Alain Abi-Rizk (8549358)

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

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

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Multiple linear regression analysis of trust change predictors. by Alain Abi-Rizk (8549358)

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

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

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

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Post-pandemic trust in science survey. by Alain Abi-Rizk (8549358)

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