SV2_Enface.mp4

En face maximum intensity projection (400 μm slices) of fibroblast cell dynamics. Scale bar represents 50 μm for all sections

SV1_Vol.mp4

Volumetric visualization of fibroblast cell dynamics. The central part has 1mm × 1mm × 1mm field of view, and all the extracted parts have 0.25mm × 0.25mm × 0.25mm field of view

Supplementary document for Investigation of multiple scattering in space and spatial-frequency domains: with application to the analysis of aberration-diverse optical coherence tomography - 5533291.pdf

Supplemental Documen

Nanocrystalline Porous Iridium Oxide Coating on Titanium for Bifunctional Electrochemistry Water Splitting in Acidic Media

Electrochemical splitting water, as an effective technology for the preparation of high-purity oxygen and hydrogen, has great prospects under the advocacy of green energy. Ti-based dimensionally stable anodes (DSAs) are widely used in the electrochemical industry. In this study, nanocrystalline porous iridium oxide coatings on DSA were prepared by introducing lithium hydroxide into the precursor solution under the thermal decomposition method and their oxygen evolution and hydrogen evolution catalytic activity was studied in an acidic solution. The addition of LiOH in the precursor solution results in a hierarchical porous topography and grain size refinement of the DSA surface, which brings excellent oxygen evolution reaction (OER) and hydrogen evolution reaction (HER) performance. The Tafel slopes of OER and HER are only 41 and 31 mV dec–1 in 0.5 mol L–1 sulfuric acid solution, respectively. The DSAs also exhibit remarkable electrochemical stability, showing as lossless performance after a test under 1 and 2 A cm–2 for 14 days in 0.5 mol L–1 sulfuric acid solution

SV2_Control.mp4

Single-state control reconstructed with varying numbers of a fixed astigmatic state. The panel configuration is the same as Fig. 5

SV1_ADOCT.mp4

Volumetric AD-OCT reconstructed with varying numbers of astigmatism rotations. The panel configuration is the same as Fig. 4

Prediction and associated factors of hypothyroidism in systemic lupus erythematosus: a cross-sectional study based on multiple machine learning algorithms

The prevalence of hypothyroidism in systemic lupus erythematosus (SLE) is significantly higher than that in the common public. While SLE itself can affect multiple organs, abnormal thyroid function may exacerbate organ damage in patients with SLE. We aimed to predict abnormal thyroid function and to examine the associated factors with multiple machine learning approaches. In a cross-sectional study, 255 patients diagnosed with SLE at the rheumatology department in Xiangya Hospital between June 2012 and December 2016 were investigated. Feature engineering was used for filtering out principle clinical parameters, and five different machine learning methods were used to build prediction models for SLE with hypothyroidism. Feature engineering selected 11 variables with which to build machine learning models. Among them, random forest modelling obtained the best prediction performance, with an accuracy rate of 88.37 and an area under the receiver operating characteristic curve of 0.772. The weights of anti-SSB antibody and anti-dsDNA antibody were 1.421 and 1.011, respectively, indicating a strong association with hypothyroidism in SLE. Random Forest model performed best and is recommended for selecting vital indices and assessing clinical complications of SLE, it indicated that anti-SSB and anti-dsDNA antibodies may play principal roles in the development of hypothyroidism in SLE patients. It’s feasible to build an accurate machine learning model for early diagnosis or risk factors assessment in SLE using clinical parameters, which would provide a reference for the research work of SLE in China.</p

Supplemental Material, supporting_information - Synthesis and properties of bismaleimide resins containing phthalide cardo and cyano groups

<p>Supplemental Material, supporting_information for Synthesis and properties of bismaleimide resins containing phthalide cardo and cyano groups by Siyang Liu, Yuanying Wang, Ping Chen, Dongwei Xu, Xuhai Xiong, and Xiaoyu Yan in High Performance Polymers</p

Table_1_Association of metabolic syndrome and sarcopenia with all-cause and cardiovascular mortality: a prospective cohort study based on the NHANES.docx

BackgroundMetabolic syndrome (MetS) and sarcopenia (SP) have emerged as significant public health concerns in contemporary societies, characterized by shared pathophysiological mechanisms and interrelatedness, leading to profound health implications. In this prospective cohort study conducted within a US population, we aimed to examine the influence of MetS and SP on all-cause and cardiovascular mortality.MethodsThis study analyzed data from the National Health and Nutrition Examination Survey (NHANES) III for the years 1999-2006 and 2011-2018, and death outcomes were ascertained by linkage to National Death Index (NDI) records through December 31, 2019. Cox proportional hazard models were used to estimate hazard ratios (HRs) and 95% confidence intervals (95% CIs) for all-cause and cardiovascular mortality. In addition, subgroup and sensitivity analyses were conducted to test the robustness of the results.ResultsOver a median follow-up period of 13.3 years (95% CI: 12.8-13.8), 1714 deaths were observed. The groups characterized by MetS−/SP+, MetS+/SP−, and MetS+/SP+ exhibited higher all-cause mortality rates in comparison to the MetS-/SP- group, with the MetS+/SP+ group (HR 1.76, 95% CI: 1.37-2.25) displaying the highest all-cause mortality. Increased cardiovascular mortality was observed in the MetS+/SP− (HR 1.84, 95% CI: 1.24-2.72), and MetS+/SP+ groups (HR 2.39, 95% CI: 1.32-4.35) compared to the MetS−/SP− group, whereas it was not statistically significant in the MetS-/SP+ group. However, among males and individuals aged ConclusionThe coexistence of MetS and SP increased the risk of all-cause and cardiovascular mortality, particularly in males and in nonelderly populations. Individuals with either MetS or SP may require more careful management to prevent the development of other diseases and thereby reduce mortality.</p

Synthesis and Structure–Activity Analysis of Icaritin Derivatives as Potential Tumor Growth Inhibitors of Hepatocellular Carcinoma Cells

The prenylated flavonoid icaritin (ICT, 1), a new drug for treating advanced hepatocellular carcinoma (HCC), was selected as a template to develop more potent inhibitors. An initial semisynthetic modification of ICT was performed to obtain a structure–activity relationship (SAR), which indicated that the cytotoxicity is enhanced by OH-3 rhamnosylation and that OH-7 is an important modification site. Based on the results of the SAR study, 46 N-containing ICT derivatives were synthesized and evaluated as the anti-HCC inhibitors. The results showed that most of the derivatives produced inhibited three HCC cell lines used (Hep3B, HepG2 and SMMC-7721). The modification strategy was validated by 3D-QSAR, which provided information for the further design and optimization of ICT. The most potent compound, 11c, exhibited IC50 values of 7.6 and 3.1 μM against HepG2 and SMMC-7721 cells, respectively, which were more potent than those of ICT and sorafenib, respectively. Further mechanistic studies indicated that 11c caused arrest at the G0/G1 phase in the cell cycle and induced cell apoptosis in HepG2 and SMMC-7721 cells