Influence of different cosmetic vehicles in mechanical and physical properties of hair treated with oxidative hair dyes by Elaine Cabral Serrão (5383190)

Defoliation intensity and leaf area index recovery in defoliated swards: implications for forage accumulation by Clóvis David Medeiros Martins (8744061)

The effects of agomelatine in cisplatin-induced toxicity on the kidney and liver tissues: In vivo study by Fatma Nihan Cankara (11941778)

Defoliation intensity and leaf area index recovery in defoliated swards: implications for forage accumulation by Clóvis David Medeiros Martins (8744061)

Water and glycerol permeability of human adipocyte plasma membrane vesicles. by Umberto Laforenza (133293)

“…<p>(A) Representative light scattering curves were obtained by exposing the isolated adipocytes to a 150 mOsm osmotic gradient in two different conditions: normal untreated cells (Control) and cells treated for 15 min with 0.5 M DMSO (DMSO). …”

Modeling Electrophysiological Coupling and Fusion between Human Mesenchymal Stem Cells and Cardiomyocytes by Joshua Mayourian (3148134)

“…The third family of hMSCs (Type C), absent of hEAG1 activity, led to smaller single-cell action potential alterations during coupling and fusion, translating to longer tissue-level mean action potential wavelength. In a simulated 2-D monolayer of cardiac tissue, re-entry vulnerability with low (5%) hMSC insertion was approximately eight-fold lower with Type C hMSCs compared to hEAG1-functional hMSCs. …”

DataSheet1_Long-term effects of lumacaftor/ivacaftor on paranasal sinus abnormalities in children with cystic fibrosis detected with magnetic resonance imaging.docx by Lena Wucherpfennig (13153803)

“…In children starting therapy in school age the CRS-MRI sum score decreased longitudinally from MRI1 to MRI2 (−2.1 ± 3.5, p < 0.05), MRI3 (−3.0 ± 3.7, p < 0.01) and MRI4 (−3.6 ± 4.7, p < 0.01), mainly due to a decrease in the mucopyoceles subscore (−1.0 ± 1.5, p = 0.059; −1.2 ± 2.0, p < 0.05; −1.6 ± 1.8, p < 0.01; and −2.6 ± 2.8, p = 0.417, respectively). …”

Assessing the parameter optimisations. by Bernd Boehm (246214)

“…<p>(A) A plot of the fitness improvements (decrease in shape difference on the <i>y</i>-axis) against the successive iterations of the optimisation process (<i>x</i>-axis). …”

Plasma Circulating Nucleic Acids Levels Increase According to the Morbidity of <em>Plasmodium vivax</em> Malaria by Bernardo S. Franklin (220946)

Neuropathy-causing mutations in HSPB1 impair autophagy by disturbing the formation of SQSTM1/p62 bodies by Mansour Haidar (6255134)

TrxB2 protects <i>Mtb</i> from thiol-specific oxidizing stress and contributes less to defense against oxidative and nitrosative stress. by Kan Lin (2812660)

“…(C) Survival of <i>Mtb</i> strains after 4 days exposure to increasing concentrations of NaNO₂ at pH 5.5. Data are means ± SD (n = 3 per group) and are representative of two independent experiments. (* p<0.05, one way ANOVA was used for group comparison). …”

Experiment 1: Rapid-Place Learning Task and Performance after Partial Hippocampal Lesions Sparing the Intermediate, Septal, or Temporal Hippocampus by Tobias Bast (264973)

“…By chance, i.e., during random swimming, this value should be 12.5%, whereas higher values indicate a search preference for the correct zone based on one-trial place learning.…”

Fold change in response to RTK stimulation or inhibition. by Juan Palacios-Moreno (725834)

“…<i>g</i>., “NGF to C” means NGF-treated compared to control). (<b>A</b>) Total phosphorylation changes in tyrosine kinases. …”

DataSheet1_SupCAM: Chromosome cluster types identification using supervised contrastive learning with category-variant augmentation and self-margin loss.pdf by Chunlong Luo (14618255)

“…We realized that semantic differences between chromosomes and natural objects should not be ignored, and thus developed a novel two-step method called SupCAM, which could avoid overfitting only using ChrCluster and achieve a better performance. …”

Image3.PDF by Brittney N. Keel (4886881)

“…Efficient alignment of the reads onto the reference genome with high accuracy is very important because it determines the global quality of downstream analyses. In this study, we evaluate the performance of three Burrows-Wheeler transform-based mappers, BWA, Bowtie2, and HISAT2, in the context of paired-end Illumina whole-genome sequencing of livestock, using simulated sequence data sets with varying sequence read lengths, insert sizes, and levels of genomic coverage, as well as five real data sets. …”

DataSheet1.DOCX by Brittney N. Keel (4886881)

“…Efficient alignment of the reads onto the reference genome with high accuracy is very important because it determines the global quality of downstream analyses. In this study, we evaluate the performance of three Burrows-Wheeler transform-based mappers, BWA, Bowtie2, and HISAT2, in the context of paired-end Illumina whole-genome sequencing of livestock, using simulated sequence data sets with varying sequence read lengths, insert sizes, and levels of genomic coverage, as well as five real data sets. …”

Table6.DOCX by Brittney N. Keel (4886881)

“…Efficient alignment of the reads onto the reference genome with high accuracy is very important because it determines the global quality of downstream analyses. In this study, we evaluate the performance of three Burrows-Wheeler transform-based mappers, BWA, Bowtie2, and HISAT2, in the context of paired-end Illumina whole-genome sequencing of livestock, using simulated sequence data sets with varying sequence read lengths, insert sizes, and levels of genomic coverage, as well as five real data sets. …”

Table4.DOCX by Brittney N. Keel (4886881)

“…Efficient alignment of the reads onto the reference genome with high accuracy is very important because it determines the global quality of downstream analyses. In this study, we evaluate the performance of three Burrows-Wheeler transform-based mappers, BWA, Bowtie2, and HISAT2, in the context of paired-end Illumina whole-genome sequencing of livestock, using simulated sequence data sets with varying sequence read lengths, insert sizes, and levels of genomic coverage, as well as five real data sets. …”

Table15.DOCX by Brittney N. Keel (4886881)

“…Efficient alignment of the reads onto the reference genome with high accuracy is very important because it determines the global quality of downstream analyses. In this study, we evaluate the performance of three Burrows-Wheeler transform-based mappers, BWA, Bowtie2, and HISAT2, in the context of paired-end Illumina whole-genome sequencing of livestock, using simulated sequence data sets with varying sequence read lengths, insert sizes, and levels of genomic coverage, as well as five real data sets. …”

Table1.XLSX by Brittney N. Keel (4886881)

“…Efficient alignment of the reads onto the reference genome with high accuracy is very important because it determines the global quality of downstream analyses. In this study, we evaluate the performance of three Burrows-Wheeler transform-based mappers, BWA, Bowtie2, and HISAT2, in the context of paired-end Illumina whole-genome sequencing of livestock, using simulated sequence data sets with varying sequence read lengths, insert sizes, and levels of genomic coverage, as well as five real data sets. …”