Additional file 3 of Network-based logistic regression integration method for biomarker identification

GO:CC enrichment results of the subnetwork biomarkers. The enrichment of GO: CC is included. (XLSX 46 kb

Additional file 5 of Network-based logistic regression integration method for biomarker identification

KEGG pathway enrichment results of the subnetwork biomarkers. The enrichment of KEGG pathway is included. (XLSX 36 kb

Additional file 4 of Network-based logistic regression integration method for biomarker identification

GO:MF enrichment results of the subnetwork biomarkers. The enrichment of GO: MF is included. (XLSX 69 kb

Additional file 1 of Network-based logistic regression integration method for biomarker identification

The identified subnetwork biomarkers. The identified subnetwork biomarkers using network-based integrative logistic regression with Abs-Network penalty. (TXT 2 kb

Additional file 2 of Network-based logistic regression integration method for biomarker identification

GO:BP enrichment results of the subnetwork biomarkers. The enrichment of GO: BP is included. (XLSX 220 kb

Layer-by-Layer-Assembled Multilayer Films of Polyelectrolyte-Stabilized Surfactant Micelles for the Incorporation of Noncharged Organic Dyes

Noncharged pyrene molecules were incorporated into multilayer films by first loading pyrene into poly(acrylic acid) (PAA)-stabilized cetyltrimethylammonium bromide (CTAB) micelles (noted as PAA&(Py@CTAB)) and then layer-by-layer (LbL) assembled with poly(diallyldimethylammonium chloride) (PDDA). The stable incorporation of pyrene into multilayer films was confirmed by quartz crystal microbalance (QCM) measurements and UV−vis absorption spectroscopy. The resultant PAA&(Py@CTAB)/PDDA multilayer films show an exponential growth behavior because of the increased surface roughness with increasing number of film deposition cycles. The present study will open a general and cost-effective avenue for the incorporation of noncharged species, such as organic molecules, nanoparticles, and so forth, into LbL-assembled multilayer films by using polyelectrolyte-stabilized surfactant micelles as carriers

Ultralow Pt Catalyst Loading Prepared by the Electroreduction of a Supramolecular Assembly for the Hydrogen Evolution Reaction

The hydrogen evolution reaction (HER) from the electrocatalysis of water splitting is the most promising approach to producing green and renewable hydrogen energy for sustainable development. The precious metal platinum is the best electrocatalyst for HER. However, its scarcity and high cost still hinder the large-scale application. It is highly desirable to fabricate efficient Pt electrocatalysts with low Pt loading. Herein, we report an efficient ultralow Pt-loading HER catalyst, which was obtained by the electroreduction of a preprepared supramolecular self-assembly. Utilizing the strong hydrogen bonding formation ability of macrocyclic cucurbit[8]uril (CB[8]), a porous supramolecule (CB[8]-[PtCl6]) composed of [PtCl6]2– and CB[8] is obtained as the HER catalyst precursor. By the electroreduction of the as-prepared supramolecular compound, Pt nanoparticles (NPs) protected by CB[8] (CB[8]-Pt) exhibit high catalytic activity and excellent long-term stability toward HER with ultralow Pt loading. CB[8]-Pt with a Pt loading of only 1.2 μg/cm2 presents 23 times higher HER activity than commercial Pt/C. Moreover, CB[8]-Pt shows excellent stability under 10 000-cycle cyclic voltammetry (CV) and at least 120 h for chronopotentiometry at 10 mA/cm2 in 0.5 M H2SO4, which greatly outperforms commercial Pt/C. This work provides a strategy for the rational design of ultralow-loading Pt catalysts with good activity and stability for hydrogen production

Synthesis of aromatic liquid crystals with asymmetric diester based on rod-like multi-ring system by two-step esterification method

<p>A novel method of two-step esterifications was developed to synthesize compounds with asymmetric double ester groups. By using this method, six rod-like double ester compounds were prepared with <i>p</i>-hydroxy benzaldehyde, <i>p</i>-hydroxy benzoic acid bicyclohexyl carboxylic acid, cyclohexyl benzoic acid and biphenyl carboxylic acid substituted by <i>n</i>-propyl and <i>n</i>-pentyl as main reactants. The structures and properties of target compounds were confirmed by IR, MS, ¹H NMR, elemental analysis, differential scanning calorimetry (DSC) and hot stage polarizing optical microscope (HS-POM). Typical yields of the target molecules were more than 70%. All the molecules have mesophases with the textures of nematic type, indicating a rod-like molecule with a longer rigid skeleton can keep its mesophases. There was no clearing point observed for any of the derivatives before they decomposed so that the temperature ranges of the mesophases could not be determined. The energy differences between frontier molecular orbitals (HOMO-LUMO) (<i>E</i>_g) of the compounds were calculated by cyclic voltammetry (CV). The terminal ring system has an obvious influence on the energy levels and the energy gaps (<i>E</i>_g).</p

Oxygen Vacancy Defect Migration in Titanate Perovskite Surfaces: Effect of the A‑Site Cations

Oxygen vacancy formation energies and migration barriers in (001) surfaces of CaTiO₃, SrTiO₃, and BaTiO₃ have been investigated using first principles density functional theory. The degree of distortion within the TiO₂ sublattice in the presence of defects and consequently the defect formation energies in these titanate surfaces are determined by the size of the A-site cation (Ca²⁺ < Sr²⁺ < Ba²⁺). This is notably the case for CaTiO₃, in which the presence of a vacancy defect leads to a heavily distorted local orthorhombic structure within the (001) slab depending on the defect position, despite the overall cubic symmetry of the material modelled. This effectively leads to the TiO₂ sublattice acting as a thermodynamic trap for oxygen vacancy defects in CaTiO₃. By contrast, calculated vacancy diffusion pathways in SrTiO₃ and BaTiO₃ indicate that vacancy diffusion with these larger A-site cations is kinetically and not thermodynamically controlled

Supplementary Figure 1: Prognostic value of H-GNRI in patients undergoing postoperative radiotherapy for esophageal squamous cell carcinoma

Supplementary Figure 1. Prognostic value of H-GNRI in patients undergoing postoperative radiotherapy for esophageal squamous cell carcinomaDetermination of optimal cut-off values of hemoglobin and GNRI. (A, B) Identification of optimal cut-off value of hemoglobin by X-tile. (C, D) Identification of optimal cut-off value of GNRI by X-tile. </div