The Karolinska Sleepiness Scale (KSS) is a 9-point Likert scale, ranging from “extremely 1 = alert” to “9 = extremely sleepy–fighting sleep” [44]. by Marcel F. Hinss (14675457)

Multi-organ differential gene expression changes statistically significant at hypertension onset. by Eden Hornung (20148295)

The importance of entry criteria from the point of view of the SD method ‐ combination A. by Roman Vavrek (13200141)

Summary of structural dynamics of WT and mutant RhoGAPs-RhoA complexes. by Zen Kouchi (14898435)

Average % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for brown non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked. by Indrani Bera (804948)

“…<p>Average % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for brown non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked.…”

Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked. by Indrani Bera (804948)

“…<p>Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked.…”

Critical Role of Voltage Application Points in “Analog” and “Digital” Electrospray Ionization Mass Spectrometry by Min-Min Hung (21096009)

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Critical Role of Voltage Application Points in “Analog” and “Digital” Electrospray Ionization Mass Spectrometry by Min-Min Hung (21096009)

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Fig 5 - by Varun Tiwari (9258130)

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Classes of errors and gaps in BOLD metadata. by Frederik Stein (22146203)

“…ASAP was found to be superior to RESL due to RESL’s adherence to the concept of the DNA barcoding gap. Moreover, we found that taxonomic misassignments, inconsistencies in BIN formation, and missing metadata also contribute significantly to unreliable identifications. …”

Fig 1 - by Varun Tiwari (9258130)

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Summary of post-treatment disease course measures from MDMA-AT publications. by Filip Stanicic (17808254)

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Study selection criteria. by Filip Stanicic (17808254)

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Summary of post-treatment CAPS score changes from clinical trials with FDA-approved medications. by Filip Stanicic (17808254)

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Disease course measures after the PTSD treatments. by Filip Stanicic (17808254)

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PICOS criteria for the SLR. by Filip Stanicic (17808254)

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Summary of post-treatment CAPS score changes from MDMA-AT publications. by Filip Stanicic (17808254)

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Summary of post-treatment disease course measures from off-label medications clinical trials. by Filip Stanicic (17808254)

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Summary of post-treatment CAPS score changes from clinical trials with psychotherapies. by Filip Stanicic (17808254)

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Summary of clinical studies of FDA-approved medications for PTSD: Disease course outcomes. by Filip Stanicic (17808254)

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