61 research outputs found
MOESM1 of Poly(3-hydroxybutyrate-co-3-hydroxyvalerate) co-produced with l-isoleucine in Corynebacterium glutamicum WM001
Additional file 1: Figure S1. SEM analysis of WM001/pDXW-8 and WM001/pDXW-8-phaCAB. Figure S2. SDS-PAGE of WM001 recombinants: Lane 1, WM001/pDXW-8-phaCAB; Lane 2, WM001/pDXW-8-phaAB; Lane 3, WM001/pDXW-8-phaA; Lane 4, WM001/pDXW-8; Lane 5, marker. Figure S3. GC/MS analysis of PHA produced by WM001/pDXW-8-phaCAB. Table S1. Batch fermentation of WM001 recombinants after 72 h. Table S2. Differentially expressed genes between WM001 and ATCC13869
Receiver operating characteristic (ROC) curve analyses.
<p>The ROC plots for CEA (A), CA153 (B), CA125 (C) and the combination of CEA and CA153 (D) were used to differentiate breast cancer from benign disease. AUC, area under the receiver operating characteristic curve; CI, confidence interval.</p
Sensitivity, specificity, and areas under the curves for CEA, CA153 and combinations of these markers in nipple discharge with breast cancer.
<p>Sensitivity, specificity, and areas under the curves for CEA, CA153 and combinations of these markers in nipple discharge with breast cancer.</p
MOESM1 of Preparation and applications of guard cell protoplasts from the leaf epidermis of Solanum lycopersicum
Additional file 1. Fig. S1. Seven fully expanded leaves of the hydroponic plants (older plants) selected for GCPs isolation. Fig. S2. Experiments designed to optimize osmolality conditions for isolation. Fig. S3. The digestion of the epidermal peels by Method L with substrate-cultured plants. Fig. S4. The status of GCPs after 1 h of digestion in enzyme solution 1 with the shaking speed set to 150 rpm. Fig. S5. Assessment of purification and viability of GCPs via method L with hydroponic plants. Fig. S6. MCPs preparation before (a) and after (b) purification. Fig. S7. Phylogenetic tree of CA genes in different plants. Table S1. Primers used in the Real-time RT-PCR analyses performed in this study
Magnetic and Structural Transitions Tuned through Valence Electron Concentration in Magnetocaloric Mn(Co<sub>1–<i>x</i></sub>Ni<sub><i>x</i></sub>)Ge
The structural and
magnetic properties of magnetocaloric MnÂ(Co<sub>1–<i>x</i></sub>Ni<sub><i>x</i></sub>)ÂGe
compounds have been studied. Two responses to the increase of valence
electron concentration on substitution of Ni (3d<sup>8</sup>4s<sup>2</sup>) for Co (3d<sup>7</sup>4s<sup>2</sup>) in the orthorhombic
phase (<i>Pnma</i>) are proposed: expansion of unit-cell
volume and redistribution of valence electrons. We present experimental
evidence for electronic redistribution associated with the competition
between magnetism and bonding. This competition in turn leads to complex
dependences of the reverse martensitic transformation temperature <i>T</i><sub>M</sub> (orthorhombic to hexagonal (<i>P6</i><sub>3</sub><i>/mmc</i>)) and the magnetic structures on
the Ni concentration. Magnetic transitions from ferromagnetic structures
below <i>x</i> = 0.50 to noncollinear spiral antiferromagnetic
structures above <i>x</i> = 0.55 at low temperature (e.g.,
5 K) are induced by modification of the density of states at the Fermi
surface due to the redistribution of valence electrons. <i>T</i><sub>M</sub> is found to decrease initially with increasing Ni content
and then increase. Both direct and inverse magnetocaloric effects
are observed
Correlation between diffusion parameters, volume of the genu of corpus callosum, VMHC, and MMSE scores of all the subjects.
<p>The values in the table are the correlation coefficients and corresponding p-values (partial correlation with age effect corrected).</p><p>*, p ≤ 0.05;</p><p>**, p ≤ 0.01;</p><p>***, p ≤ 0.001.</p><p>Abbreviations: FA, fractional anisotropy; MD, mean diffusivity (×10–3 mm2/s); λ‖, axial diffusivity (×10–3 mm2/s); λ┴, radial diffusion (×10–3 mm2/s); VMHC, voxel mirror homotopic connectivity; OFC, orbitofrontal cortex; ACC, anterior cingulate cortex; NAcc, nucleus accumbens; SMC, sensorimotor cortex; OcG, occipital gyrus.</p><p>Correlation between diffusion parameters, volume of the genu of corpus callosum, VMHC, and MMSE scores of all the subjects.</p
Data_Sheet_1_Changes of factors associated with vaccine hesitancy in Chinese residents: A qualitative study.docx
IntroductionThere is an urgent need to address vaccine hesitancy to achieve booster vaccination. This study aimed to reveal the factors associated with vaccine hesitancy (including COVID-19 vaccine) among Chinese residents, address modifications of the factors since the previous year, and propose vaccination rate improvement measures.Materials and methodsThis qualitative return visit study was performed between January and mid-February 2022, following the last interview conducted between February and March 2021. According to an outline designed in advance, 60 Chinese residents from 12 provinces participated in semi-structured interviews.ResultsVaccine safety was the biggest concern raised by respondents, followed by self-immunity and vaccine effectiveness, eliciting concern since the interview last year. Notably, online media accounted for a more significant portion of suggestion sources than before, and fear of pain was a novel factor affecting vaccine hesitancy. Moreover, unlike other areas, those from provinces with a per capita gross domestic product of 3–5 (RMB 10,000) reported less concern about vaccine price and effectiveness. They tended to seek advice via online media less and were greatly influenced by vaccination policies.ConclusionsInfluential factors of vaccine hesitancy among Chinese residents are changing dynamically. Monitoring these trends is essential for public health measures and higher vaccination levels.</p
DTI and volumetric differences among AD, MCI and CN.
<p><b>A:</b> Voxel-based analysis showed significant difference of FA between AD and CN in the genu of the corpus callosum (family-wise error corrected, <i>p</i> < 0.05, extent threshold = 10). <b>B-F:</b> Group comparisons revealed the patterns of diffusion parameters and volume changes in the genu of the corpus callosum (FA: AD < MCI < CN; MD: AD > CN / MCI; λ<sub>┴</sub>: AD > CN / MCI; λ<sub>‖</sub>: no difference; Volume: AD < CN/MCI). * represents statistical differences between groups (*, <i>p</i> ≤ 0.05; ***, <i>p</i> ≤ 0.001)</p
Cross-cohort comparisons of VMHC.
<p><b>A</b>: The AD subjects showed significantly decreased VMHC in the OFC, ACC, POC, NAcc, putamen, caudate and insula compared to CN. <b>B</b>: The AD subjects showed significantly decreased VMHC in the OFC, putamen, caudate, insula, SMC, and OcG compared to MCI. <b>C</b>: The MCI subjects showed significantly increased VMHC in the SMC compared to CN. <b>D-H</b> show the locations of the five anatomical structures where the VMHC was significantly different across the three cohorts. The values in the bar graphs are z-scores transformed from the VMHC values. * represents statistical differences between groups (*, <i>p</i> ≤ 0.05; ***, <i>p</i> ≤ 0.001).</p
Normative VMHC map of the CN group (one-sample t-test, family-wise error corrected, p < 0.001, extent threshold = 10).
<p>Normative VMHC map of the CN group (one-sample t-test, family-wise error corrected, p < 0.001, extent threshold = 10).</p
- …