15 research outputs found

    sj-pdf-1-jnm-10.1177_10949968231189505 - Supplemental material for Surprising Consequences of Innocuous Mobile Transaction Reminders of Credit Card Use

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    Supplemental material, sj-pdf-1-jnm-10.1177_10949968231189505 for Surprising Consequences of Innocuous Mobile Transaction Reminders of Credit Card Use by Jikyung (Jeanne) Kim, Yeohong Yoon, Jeonghye Choi, Hang Dong, and Dilip Soman in Journal of Interactive Marketing</p

    Correlation between tumor MVD and NPAA or platelet-derived VEGF levels.

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    <p>(A) Good correlation between MVD and NPAA in 68 NSCLC patients (r = 0.78; P<0.001). (B) The significant correlation between tumor MVD and platelet-derived VEGF levels (r = 0.521; P<0.01). (C) MVD in NSCLC tissue and (D) normal tissue were determined by CD34 immunohistochemical staining. Arrow, positive stain of MVD.</p

    Cox Regression Analysis for Overall Survival in 68 Patients with Lung Cancer.

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    <p>Bold values indicate “significant difference (<i>P<</i>0.05).”</p><p>HR, hazard ratio; Cl, confidence interval.</p

    Platelet Derived VEGF, TSP-1Concentration and NPAA in Lung Cancer.

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    <p>Bold values indicate “significant difference (<i>P</i><0.05).”</p><p><i>P</i> value by Unpaired t-test or Mann–Whitney test.</p><p>*NPAA is expressed in no. of branch points/10<sup>6</sup></p

    Effect of platelet-released cytokines on angiogenic activity of HUVEC.

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    <p>Representative photographs of the tube formation assay after 18-incubation with platelet-released cytokines are shown in panels A (the patients platelet-released cytokines added) and B (healthy controls platelet-released cytokines added). Preincubation of platelet lysates with IgG control (C) and antiTSP-1 antibody (D). The statistical analysis (E). Bars are means±SD from 4 experiments. * <i>P<</i>0.05 control versus treatment.</p

    Receiver-operating curve (ROC) analysis of platelet derived VEGF and NPAA in the detection of lung cancer.

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    <p>(A,B) ROC analysis of lung cancer patients and healthy controls, and healthy controls as a negative group and patients with lung cancer as a positive group. NPAA had the best predictive diagnostic accuracy (AUC = 0.893, P<0.0001). AUROC: area under receiver-operating curve.</p

    Cox Regression Analysis for Disease-free Survival in 68 Patients with Lung Cancer.

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    <p>Bold values indicate “significant difference (<i>P<</i>0.05).”</p><p>HR, hazard ratio; Cl, confidence interval.</p

    Kaplan-Meier curves of survival differences among NSCLC patients.

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    <p>Disease-free survival (A) and Overall survival (B) for low NPAA and high NPAA patients. P values were determined by the log-rank test.</p

    Design and Optimization of Solid Amine CO<sub>2</sub> Adsorbents Assisted by Machine Learning

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    In the development of solid amine CO2 adsorbents, the CO2 adsorption performance of amine-functionalized adsorbents, with various novel porous supports or modification of the amine structure, has been widely studied. However, a lack of systematic research limits the industrial application of amine-functionalized CO2 adsorbents, especially the adsorbents prepared from inexpensive and readily available commercial porous supports. In this work, machine learning (ML) was employed to explore how the CO2 adsorption performance of amine-functionalized adsorbents is correlated with five factors: amine loading, amine type, pore volume, pore size, and specific surface area. We found that amine loading contributed the most to the effect of CO2 adsorption capacity, followed by pore volume. Pore size was the most important factor affecting amine efficiency, while the cycle stability of the adsorbent was basically related to the amine type, and the interaction effect between the influencing factors was explored by ML. In addition, the CO2 adsorption capacities of TEPA/KXY and PEI/KYX adsorbents were predicted by ML, and the results of ML prediction were consistent with our experimental results. Furthermore, we constructed a “five-in-one” comprehensive comparison of the CO2 adsorption performance of 45TEPA/KYX and 60PEI/KYX adsorbents through a radar diagram, and it was considered that the 45TEPA/KYX adsorbent had a better comprehensive CO2 adsorption performance. Our study provides insights into the development and optimization of solid amine CO2 adsorbents using commercial porous supports
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