Fluoride exposure and its interaction with <i>ATP2B1</i> polymorphism in the alteration of lipid metabolism in adults by Junhua Wu (154979)

“…There was an interaction between urinary fluoride which was lower than 0.9 mg/L and rs7136259 for carriers of T allele (OR = 2.67 [95% CI, 1.34–5.31]) in serum ApoA1 decrease. It indicated fluoride exposure might be associated with the alteration of serum ApoA1 and ApoB in adults.…”

Table_2_Differences in Pneumococcal and Haemophilus influenzae Natural Antibody Development in Papua New Guinean Children in the First Year of Life.docx by Kelly M. Martinovich (11253363)

“…</p>Methods<p>Serum IgG titres to four pneumococcal proteins (PspA1, PspA2, CbpA, and Ply) and five NTHi antigens (P4, P6, OMP26, rsPilA and ChimV4) were measured in sera collected from 101 Papua New Guinean children at 1, 4, 9, 10, 23 and 24 months of age using multiplexed bead-based immunoassays. …”

Table_1_Differences in Pneumococcal and Haemophilus influenzae Natural Antibody Development in Papua New Guinean Children in the First Year of Life.docx by Kelly M. Martinovich (11253363)

“…</p>Methods<p>Serum IgG titres to four pneumococcal proteins (PspA1, PspA2, CbpA, and Ply) and five NTHi antigens (P4, P6, OMP26, rsPilA and ChimV4) were measured in sera collected from 101 Papua New Guinean children at 1, 4, 9, 10, 23 and 24 months of age using multiplexed bead-based immunoassays. …”

Image_2_Differences in Pneumococcal and Haemophilus influenzae Natural Antibody Development in Papua New Guinean Children in the First Year of Life.tif by Kelly M. Martinovich (11253363)

“…</p>Methods<p>Serum IgG titres to four pneumococcal proteins (PspA1, PspA2, CbpA, and Ply) and five NTHi antigens (P4, P6, OMP26, rsPilA and ChimV4) were measured in sera collected from 101 Papua New Guinean children at 1, 4, 9, 10, 23 and 24 months of age using multiplexed bead-based immunoassays. …”

Table_3_Differences in Pneumococcal and Haemophilus influenzae Natural Antibody Development in Papua New Guinean Children in the First Year of Life.docx by Kelly M. Martinovich (11253363)

“…</p>Methods<p>Serum IgG titres to four pneumococcal proteins (PspA1, PspA2, CbpA, and Ply) and five NTHi antigens (P4, P6, OMP26, rsPilA and ChimV4) were measured in sera collected from 101 Papua New Guinean children at 1, 4, 9, 10, 23 and 24 months of age using multiplexed bead-based immunoassays. …”

Table_4_Differences in Pneumococcal and Haemophilus influenzae Natural Antibody Development in Papua New Guinean Children in the First Year of Life.docx by Kelly M. Martinovich (11253363)

“…</p>Methods<p>Serum IgG titres to four pneumococcal proteins (PspA1, PspA2, CbpA, and Ply) and five NTHi antigens (P4, P6, OMP26, rsPilA and ChimV4) were measured in sera collected from 101 Papua New Guinean children at 1, 4, 9, 10, 23 and 24 months of age using multiplexed bead-based immunoassays. …”

Image_1_Differences in Pneumococcal and Haemophilus influenzae Natural Antibody Development in Papua New Guinean Children in the First Year of Life.tif by Kelly M. Martinovich (11253363)

“…</p>Methods<p>Serum IgG titres to four pneumococcal proteins (PspA1, PspA2, CbpA, and Ply) and five NTHi antigens (P4, P6, OMP26, rsPilA and ChimV4) were measured in sera collected from 101 Papua New Guinean children at 1, 4, 9, 10, 23 and 24 months of age using multiplexed bead-based immunoassays. …”

Measurements of time in acupuncture manipulation techniques. by In-Seon Lee (483585)

“…<p>(a) Rotation; (+): Thumb forward (TF); (-): Thumb backward (TB); TF time error = |0.5 s—TF time|, mean ± SE; TB time error = |0.5 s—TB time|, mean ± SE; Target ratio of time = TF time/TB time = 1:1. …”

Diversity, distribution and dynamics of large trees across an old-growth lowland tropical rain forest landscape by David B. Clark (7846700)

“…Large trees accounted for 2.5% of stems and ~25% of mean basal area and Estimated Above-Ground Biomass, and produced ~10% of the estimated wood production. …”

Image_2_Blood Lead Level Is Negatively Associated With Bone Mineral Density in U.S. Children and Adolescents Aged 8-19 Years.tif by Aiyong Cui (12984401)

“…</p>Methods<p>We analyzed 5,583 subjects aged 8-19 years (mean age, 13.49 ± 3.35 years) from the NHANES 2005-2010. …”

Image_1_Blood Lead Level Is Negatively Associated With Bone Mineral Density in U.S. Children and Adolescents Aged 8-19 Years.tif by Aiyong Cui (12984401)

“…</p>Methods<p>We analyzed 5,583 subjects aged 8-19 years (mean age, 13.49 ± 3.35 years) from the NHANES 2005-2010. …”

Primers and their sequences used in this study. by Yanzhuo Yang (14813335)

“…To our surprise, reducing BSA content in PA-BSA solutions from 5:1 to 10:1 decreased cell viability by 11%. The 5:1 group exhibited the lowest inflammatory profile. …”

Raw data of this article. by Yanzhuo Yang (14813335)

“…To our surprise, reducing BSA content in PA-BSA solutions from 5:1 to 10:1 decreased cell viability by 11%. The 5:1 group exhibited the lowest inflammatory profile. …”

Structural and Electronic Noninnocence of α‑Diimine Ligands on Niobium for Reductive C–Cl Bond Activation and Catalytic Radical Addition Reactions by Haruka Nishiyama (1584853)

“…A d⁰ niobium­(V) complex, NbCl₃(α-diimine) (<b>1a</b>), supported by a dianionic redox-active <i>N</i>,<i>N</i>′-bis­(2,6-diisopropyl­phenyl)-1,4-diaza-2,3-dimethyl-1,3-butadiene (α-diimine) ligand (ene-diamido ligand) served as a catalyst for radical addition reactions of CCl₄ to α-olefins and cyclic alkenes, selectively affording 1:1 radical addition products in a regioselective manner. …”

Gene expression profiling of human FAP and sporadic adenoma patient samples. by Yoshihisa Okuchi (3098121)

“…(C) Venn diagrams comparing the gene expression profiles of FP^lo cells (top left), human FAP adenomas (top right) and human sporadic adenomas (bottom). We defined genes up- or downregulated in human sporadic adenomas as those genes whose expression levels were increased by 1.5-fold or decreased by 1.5-fold, respectively, compared with those in the normal mucosae. …”

Mortality in Children with Optic Pathway Glioma Treated with Up-Front BB-SFOP Chemotherapy by Josué Rakotonjanahary (758404)

“…</p><p>Results</p><p>The OS was 95% [95% CI: 90.6-97.3] 5 years after diagnosis and significantly decreased over time without ever stabilizing: 91.6% at 10 years [95% CI: 86.5-94.8], 80.7% at 15 years [95% CI: 72.7-86.8] and 75.5% [95% CI: 65.6-83] at 18 years. …”

The relationship between trophic structure and producer nutrient content. by Just Cebrian (265900)

“…The variable <i>producer nutrient content</i> has measurement error, but that error is much smaller than the measurement error in any of the dependent variables, thereby allowing for the use of the model <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0004929#pone.0004929-Cebrian1" target="_blank">[5]</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0004929#pone.0004929-Zar1" target="_blank">[29]</a>. …”

Supplementary Material for: Discharge Age and Weight for Very Preterm Infants in Six Countries: 2012–2020 by Edwards E.M. (14435709)

“…<b><i>Results:</i></b> After adjustment, the median postmenstrual age at discharge increased significantly in Austria (3.6 days, 99% CI [1.0, 6.3]), Italy (4.0 days [2.3, 5.6]), and the USA (5.4 days [5.0, 5.8]). Median discharge weight increased significantly in Austria (181 grams, 99% CI [95, 267]), Ireland (234 [143, 325]), Italy (133 [83, 182]), and the USA (207 [194, 220]). …”

Data_Sheet_1_Serum and CSF Metabolites in Stroke-Free Patients Are Associated With Vascular Risk Factors and Cognitive Performance.docx by Sisi Peng (9149948)

“…</p><p>Methods: The subjects were divided into a low-risk group (10-year stroke risk ≤ 5%), a middle-risk group (10-year stroke risk >5% and <15%), and a high-risk group (10 years stroke risk ≥ 15%) according to the Framingham stroke risk profile (FSRP) score, which was used to quantify VRFs. …”

Table_7_Network analyses of upper and lower airway transcriptomes identify shared mechanisms among children with recurrent wheezing and school-age asthma.xlsx by Zhili Wang (535482)

“…Based on network analysis of nasal and tracheal transcriptomes, we aimed to identify convergent transcriptomic mechanisms in RW and SA.…”