9 research outputs found

    Results of quality assessments according to ELCWP criteria.

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    <p>Score distributions are expressed by the mean values. IHC, immunohistochemistry; ELISA, enzyme linked immunosorbent assay; NSCLC, non-small cell lung cancer; SCLC, small cell lung cancer; Significant, significant prognostic factor for survival (P<0.05); Non-significant, not significant prognostic factor for survival (P>0.05).</p

    Forest plots of OS associated with bFGF expression in lung cancer.

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    <p>Forest plots of OS associated with bFGF expression in lung cancer.</p

    Main characteristics of 22 eligible studies in the meta-analysis.

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    <p>IHC, immunohistochemistry; ELISA, enzyme linked immunosorbent assay; AC, adenocarcinoma; SCC, squamous cell carcinoma; Non-SCC, not squamous cell carcinoma; HR, hazard ration; ED, extensive-stage disease; LD, limited-disease stage; NA, not applicable; NSCLC, non-small cell lung cancer; SCLC, small cell lung cancer.</p

    Sensitivity analysis for combined HRs evaluating bFGF expression on OS.

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    <p>Sensitivity analysis for combined HRs evaluating bFGF expression on OS.</p

    Forest plots of OS assessing bFGF expression in retrospective studies and prospective studies.

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    <p>Forest plots of OS assessing bFGF expression in retrospective studies and prospective studies.</p

    Forest plots of OS assessing bFGF expression in non-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC).

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    <p>Forest plots of OS assessing bFGF expression in non-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC).</p

    Nutrient Dynamics under the Coupling Effects of Damming and Urbanization in the Three Gorges Reservoir: Status, Sources, and Driving Factors

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    The coupling effect of damming and urbanization on nutrient dynamics renders the aquatic environment sensitive and vulnerable, posing a significant global concern. However, the role of damming as a source or sink of nutrients remains uncertain. In this study, river water samples were collected in the Three Gorges Reservoir (TGR), which is recognized as the world’s largest hydropower engineering. By integrating solute chemistry and flux budget modeling, the status, source, and transformation of riverine nutrients were revealed, and the interplay between water storage and human inputs on TGR nutrient dynamics was discussed. The concentrations of TDN and DSi were 100.2 ± 46.1 μmol/L and 115.7 ± 14.1 μmol/L, respectively. NO3––N (77.9 ± 64.1 μmol/L) was the main species of TDN, with NH4+–N and dissolved organic nitrogen accounting for only 2.5 and 19.7%, respectively. DSi was attributed to silicate weathering, while riverine NO3––N exhibited a significant influence from anthropogenic inputs. About 71.7% of NH4+–N was retained or converted to NO3––N by nitration along the river. Evidence from the significant correlation (p < 0.05) between NO3––N/NH4+–N and d-excess suggests that the evaporation process accelerated by damming promotes nitrification. Through the anthropogenic net nitrogen input model, atmospheric nitrogen deposition was the primary factor affecting nitrogen flux in TGR river water, highlighting the critical impact of urbanization. The estimated contribution fluxes of stored nitrogen from 1997 to 2020 exhibited a limited contribution ratio and decrease yearly, supporting that water level rise from damming promotes the release of stored nitrogen. This study enhances the comprehension of the anthropogenic impacts on the nutrient biogeochemical cycle in damming rivers, providing enlightenment for environmental health management in large reservoirs

    A Fluorescent Ratiometric Chemodosimeter for Cu<sup>2+</sup> Based on TBET and Its Application in Living Cells

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    Based on a through bond energy transfer (TBET) between Rhodamine and a naphthalimide fluorophore, a fluorescent ratiometric chemodosimeter <b>RN1</b> was designed and prepared for single selective detection of Cu<sup>2+</sup> in aqueous solution and in living cells, as Cu<sup>2+</sup> acts as not only a selective recognizing guest but also a hydrolytic promoter

    Table_1_Optimizing rice yield, quality and nutrient use efficiency through combined application of nitrogen and potassium.docx

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    Reasonable nitrogen (N) and potassium (K) application rates can effectively improve fertilizer use efficiency, rice yield and quality. A two-year field experiment was conducted with combined application of three N rates (135, 180, and 225 kg ha-1, denoted as N1-N3) and four K rates (0, 90, 135, and 180 kg ha-1, denoted as K0-K3) using super indica hybrid rice cultivar Yixiangyou (YXY) 2115 to explore the effects of co-application of N and K on rice growth and development. The results indicated that the combined application of N and K had significantly interactive effects on dry matter (DM) accumulation, nutrients absorption, N harvest index (NHI), K harvest index (KHI), spikelets per panicle and most rice quality indexes. The highest total DM accumulation (17998.17-19432.47 kg ha-1) at maturity stage was obtained under N3K2. The effect of co-application of N and K on nutrients absorption and utilization varied between the two years and within each year. The highest total N and K accumulations at maturity stage were observed under N3K1 and N3K2, respectively, while the highest N recovery efficiency (NRE) and K recovery efficiency (KRE) were observed under N1K3. High expression levels of N and K metabolism-related genes in rice grains were observed under N3K2 or N3K3, consistent with N and K uptake. Co-application of N and K increased rice yield significantly and the highest yield (6745.02-7010.27 kg ha-1) was obtained under N2K2. As more N was gradually applied, rice appearance quality improved but milling, cooking and eating quality decreased. Although appropriate application of K could improve rice milling, cooking and eating quality, it reduced appearance quality. The optimal milling, cooking and eating quality were obtained under N1K2, while the best appearance quality was obtained under N3K0. Overall, a combination of 135-210 kg ha-1 N and 115-137 kg ha-1 K application rates was recommended for achieving relatively higher yield and better quality in rice production.</p
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