The X-ray diffraction pattern of soil FAs from the NPK and SM treatments during a long-term (i.e., 22-year) fertilization experiment.

<p>NPK, chemical nitrogen, phosphorus and potassium; SM, swine manure.</p

TEM images of the soil FAs from the NPK (a–b) and SM (d–e) treatments during a long-term (i.e., 22-year) fertilization experiment.

<p>Selected area electron diffraction (SAED) patterns of the two images indicated by the blue squares, demonstrate that the black regions are polycrystal (c) or short-ranged-order (SRO) (f) minerals. NPK, chemical nitrogen, phosphorus and potassium; SM, swine manure. (g) and (h) energy dispersive X-ray spectroscopy (EDS) of region 1 and 2 located at the red square frames.</p

Fluorescence excitation-emission matrix (EEM) spectra of soil fulvic acids from the NPK (a) and SM (b) plots and FTIR spectra of the fulvic acids (c) during a long-term (i.e., 22-year) fertilization experiment.

<p>Note that peaks A, B and C were located at Ex/Em of 230/410, 250/410, and 330/410, respectively. NPK, chemical nitrogen, phosphorus and potassium; SM, swine manure.</p

Synchronous 2D correlation maps generated from the FTIR spectra of soil FAs in the NPK (a, c and e) and SM (b, d and f) treatments with Al.

<p>Red represents positive correlation, and blue represents negative correlation; a higher color intensity indicates a stronger positive or negative correlation. NPK, chemical nitrogen, phosphorus and potassium; SM, swine manure.</p

MnO₂ Nanosheets Grown on Multichannel Carbon Nanofibers Containing Amorphous Cobalt Oxide as a Flexible Electrode for Supercapacitors

In this study, MnO2 nanosheets grown on the multichannel carbon nanofibers containing amorphous cobalt oxide (CoMCNFs@MnO2) are prepared via electrospinning technology followed by carbonization and a facile chemical bath deposition process. The as-obtained CoMCNFs@MnO2 shows flexible features, which could serve as freestanding electrodes applied in supercapacitors. As a result, [email protected] exhibits the specific capacitance of 265 F g–1 at 0.5 A g–1, which surpasses those of their individual counterparts (135 and 143 F g–1 at 0.5 A g–1 for MCNFs@MnO2 and CoMCNFs, respectively). Moreover, After 10000 cycles, the specific capacitance of [email protected] also maintained 98.7%. Most importantly, the asymmetric supercapacitor (ASC) is assembled with [email protected] and the electrospinning carbon nanofibers (CNFs), which exhibit a high E of 19.27 Wh kg–1 with a P of 217.51 W kg–1 at 0.3 A g–1 and outstanding cycle ability of capacitance retention of 94.9% after 10000 cycles. This work paves a way to develop high-performance wearable asymmetric supercapacitors

Physiochemical characteristics of soil fulvic acids in the NPK and M treatments^*.

<p>*Note: Significance was determined using one-way ANOVA followed by Tukey’s HSD post hoc tests, where conditions of normality and homogeneity of variance were met, means (<i>n</i> = 3) followed by different letters indicate significant differences between treatments at <i>P</i><0.05. Abbreviations: NPK, chemical nitrogen, phosphorus and potassium; SM, swine manure; SOC, soil organic carbon; DOC, dissolved organic carbon; EC, electricity conductivity.</p

One-dimensional FTIR spectra of soil FAs from the NPK (a) and M (b) treatments during a long-term (i.e., 22-year) fertilization experiment.

<p>NPK, chemical nitrogen, phosphorus and potassium; SM, swine manure.</p

Additional file 1 of A prediction model for massive hemorrhage in trauma: a retrospective observational study

Additional file 1: Supplementary Fig. 1. Flow chart of variable selection and model construction. LASSO: least absolute shrinkage and selection operator; LR: logistic regression

Additional file 2 of A prediction model for massive hemorrhage in trauma: a retrospective observational study

Additional file 2: Supplementary Fig. 2. Feature selection using LASSO regression. a: Identification of the optimal penalization coefficient lambda (λ) in the LASSO used ten-fold cross-validation and the 1 standard error of the minimum criteria (the 1-se criteria). b: LASSO coefficient profiles of the features. A vertical line is drawn at the selected optimal λ, and the corresponding indexes of the curve intersecting the vertical line are the selected characteristic indexes. LASSO: least absolute shrinkage and selection operator

Additional file 3 of A prediction model for massive hemorrhage in trauma: a retrospective observational study

Additional file 3: Supplementary Table 1. TASH score and PWH score parameters