Chromatogram of Sample 52. by Davide Tanasi (9600384)

“…Multidisciplinary analyses involving proteomics and lipidomics were performed on ceramic vessels from the Castelluccian settlement at Polizzello Mountain (Caltanissetta), revealing residues consistent with equine-derived substances. …”

Plate-bound 6F9 + 5B8 and ConA stimulation reduce proportion of double negative T cells. by Treyvon W. Davis (22232198)

T_reg frequency is similar in transduced T cells and the general T cell population. by Treyvon W. Davis (22232198)

PMA/I and 6F9 + 5B8 stimulation significantly reduces the proportion of T_regs. by Treyvon W. Davis (22232198)

CD4:CD8 ratio is similar in transduced T cells and the general T cell population. by Treyvon W. Davis (22232198)

Bead contamination is not apparent during flow cytometry. by Treyvon W. Davis (22232198)

Culturing at 38.8 °C improves canine T cell transduction and expansion. by Treyvon W. Davis (22232198)

Plate-bound 6F9 + 5B8 and ConA significantly reduce double negative T cell frequency while PMA/I significantly increases double positive T cells. by Treyvon W. Davis (22232198)

Making Use of Si Contaminants during Chemical Vapor Deposition of Graphene on Cu: Synthesis of a Stable Material with the Textbook-like Band Structure of Free-Standing Graphene by Tim Kratky (7296743)

“…The procedure can be added to the growth protocol of graphene synthesis by chemical vapor deposition making use of the widely unnoticed silicon release from hot wall quartz tube reactors. So far, Si release was observed if the effect was large, so that it deteriorates the grown graphene. …”

Making Use of Si Contaminants during Chemical Vapor Deposition of Graphene on Cu: Synthesis of a Stable Material with the Textbook-like Band Structure of Free-Standing Graphene by Tim Kratky (7296743)

“…The procedure can be added to the growth protocol of graphene synthesis by chemical vapor deposition making use of the widely unnoticed silicon release from hot wall quartz tube reactors. So far, Si release was observed if the effect was large, so that it deteriorates the grown graphene. …”

Making Use of Si Contaminants during Chemical Vapor Deposition of Graphene on Cu: Synthesis of a Stable Material with the Textbook-like Band Structure of Free-Standing Graphene by Tim Kratky (7296743)

“…The procedure can be added to the growth protocol of graphene synthesis by chemical vapor deposition making use of the widely unnoticed silicon release from hot wall quartz tube reactors. So far, Si release was observed if the effect was large, so that it deteriorates the grown graphene. …”

Making Use of Si Contaminants during Chemical Vapor Deposition of Graphene on Cu: Synthesis of a Stable Material with the Textbook-like Band Structure of Free-Standing Graphene by Tim Kratky (7296743)

“…The procedure can be added to the growth protocol of graphene synthesis by chemical vapor deposition making use of the widely unnoticed silicon release from hot wall quartz tube reactors. So far, Si release was observed if the effect was large, so that it deteriorates the grown graphene. …”

Making Use of Si Contaminants during Chemical Vapor Deposition of Graphene on Cu: Synthesis of a Stable Material with the Textbook-like Band Structure of Free-Standing Graphene by Tim Kratky (7296743)

“…The procedure can be added to the growth protocol of graphene synthesis by chemical vapor deposition making use of the widely unnoticed silicon release from hot wall quartz tube reactors. So far, Si release was observed if the effect was large, so that it deteriorates the grown graphene. …”

Evaluation of canine T_regs. by Treyvon W. Davis (22232198)

Evaluation of canine CD4/CD8 T cell subsets. by Treyvon W. Davis (22232198)

Predicting the Impact of Drug Resistance Mutations on Inhibitor Potency with Molecular Dynamics and Machine Learning by Lauren E. Intravaia (22438658)

“…Our optimized strategy involves rerefining cocrystal structures to ensure accurate inhibitor geometries and combining parallel molecular dynamics simulations with feature selection to develop a robust machine learning model to predict loss of potency and resistance. …”

Predicting the Impact of Drug Resistance Mutations on Inhibitor Potency with Molecular Dynamics and Machine Learning by Lauren E. Intravaia (22438658)

“…Our optimized strategy involves rerefining cocrystal structures to ensure accurate inhibitor geometries and combining parallel molecular dynamics simulations with feature selection to develop a robust machine learning model to predict loss of potency and resistance. …”

Summary of the meta-analysis results. by Mehrdad Mozafar (20957397)

“…<div><p>Purpose</p><p>Behcet disease (BD) is an autoimmune disease characterized by diffuse all-sized obliterative vasculitis, thrombotic vasculopathy, and common ocular involvement. This study aims to evaluate the retinal microvascular alterations in BD using optical coherence tomography angiography (OCTA).…”

Exclusion and inclusion criteria of each study. by Mehrdad Mozafar (20957397)

“…<div><p>Purpose</p><p>Behcet disease (BD) is an autoimmune disease characterized by diffuse all-sized obliterative vasculitis, thrombotic vasculopathy, and common ocular involvement. This study aims to evaluate the retinal microvascular alterations in BD using optical coherence tomography angiography (OCTA).…”

Age distribution of participants. by Sveta Mayer (22169911)

“…Here, we present and evaluate the efficacy of a novel classroom-based computerized learning activity, called <i>SEE+ (Socio-emotional engagement through observation),</i> in supporting and enhancing 7- to 10-year-olds’ emotion recognition and theory of mind judgements through observation and inference. SEE+ involved observing four virtual characters interacting within social scenarios and inferring their mental states. …”