Subjective feelings when sleeping on different pressure distribution models.

<p>Subjective feelings when sleeping on different pressure distribution models.</p

Micro-arousals were significantly decreased in M_id′ compared to M_oc.

<p>(A) Sleep latency was not influenced by differences in the pressure distribution models (One way ANOVA, <i>P</i>>0.05). (B, C) The number of micro-arousals was significantly decreased (Paired t test, <i>P</i><0.05) and the mean interval between micro-arousals was increased (Wilcoxon signed rank test, <i>P</i><0.01) on the M_id′ compared to the M_oc. (D) No significant differences in the number of turn-overs were detected between these four models (One way ANOVA, <i>P</i>>0.05). *P<0.05; **P<0.01.</p

Four models of interface pressure distribution were identified by the different mattresses.

<p>(A, B) Examples of the distribution area of pressure at different levels on two models I and III. (C, D) The mean Pmax, Pmin and total stressed area were significantly different between the four mattresses. (One way ANOVA and LSD test, Maximum pressure: <i>P</i>_I*IV<0.05, <i>P</i>_I*II<0.001, <i>P</i>_I*III<0.001, <i>P</i>_II*IV<0.05; Minimum pressure: <i>P</i>_I*IV<0.001, <i>P</i>_I*II<0.001, <i>P</i>_I*III<0.001, <i>P</i>_II*III<0.001; Total stressed area: <i>P</i>_I*IV<0.001, <i>P</i>_I*II<0.01, <i>P</i>_I*III<0.001, <i>P</i>_II*IV<0.001, <i>P</i>_III*IV<0.01, <i>P</i>_II*III<0.001). (E) Significant differences in the percentage of area in blocks of 10–19 mm Hg, 20–29 mm Hg, 30–39 mm Hg and 40–49 mm Hg existed between the four mattresses. (One way ANOVA and LSD test, 10–19 mm Hg: <i>P</i>I*IV<0.001, <i>P</i>_I*II<0.001, <i>P</i>_I*III<0.001, <i>P</i>_II*IV<0.001, <i>P</i>_III*IV<0.05, <i>P</i>_II*III<0.001; 20–29 mm Hg: <i>P</i>_I*IV<0.01, <i>P</i>_I*II<0.05; 30–39 mm Hg: <i>P</i>_I*IV<0.001, <i>P</i>_I*II<0.001, <i>P</i>_III*IV<0.001, <i>P</i>_II*III<0.001; 40–49 mm Hg: <i>P</i>_I*IV<0.05, <i>P</i>_I*II<0.05, <i>P</i>_I*III<0.05, <i>P</i>_II*IV<0.05, <i>P</i>_II*III<0.05); (F) Subjects showed higher scores of satisfaction for mattresses II and III compared to I and IV, but with no significant differences between mattresses II and III (Kruskal-Wallis one way ANOVA on Ranks and SNK test, <i>P</i>_I*II<0.001, <i>P</i>_I*III<0.001, <i>P</i>_I*IV<0.05, <i>P</i>_III*IV<0.001, <i>P</i>_II*IV<0.001). *P<0.05; **P<0.01; ***P<0.001.</p

Number of transitions of sleep-wake stages and self-reported sleep quality.

<p>(A) Number of transitions from wakefulness to N1, N2, N3 and REM sleep (all <i>P</i>>0.05). (B) Number of transitions from N1 to wakefulness, N2, N3 and REM sleep (N1 to N3: <i>P</i>_Moc*Mid′<0.05, <i>P</i>_Mid*Mid′<0.05). (C) Number of transitions from N2 to wakefulness, N1, N3 and REM sleep (all <i>P</i>>0.05). (D) Number of transitions from N3 to wakefulness, N1, N2 and REM sleep (all <i>P</i>>0.05). (E) Number of transitions from REM sleep to wakefulness, N1, N2, and N3 (REM sleep to wakefulness: <i>P</i>_Moc*Mid′<0.05, <i>P</i>_Moc*Moe<0.05). (F) Self-reported score of sleep quality (<i>P</i>_Moc*Mid<0.001, <i>P</i>_Moc*Mid′<0.001, <i>P</i>_Moe*Mid<0.01, <i>P</i>_Moe*Mid′<0.001).</p

Duration and proportions of different sleep stages under four kinds of pressure distribution models.

<p>(A) Total sleep time (all <i>P</i>>0.05). (B) NREM sleep duration (all <i>P</i>>0.05). (C) Duration and proportion of N1 (all <i>P</i>>0.05). (D) Duration and proportion of N2 (Paired t test, <i>P</i>_Moc*Mid′<0.05). (E) Duration and proportion of N3+N4. (One way ANOVA and LSD test, duration: <i>P</i>_Moc*Mid<0.05, <i>P</i>_Moc*Mid′<0.001, <i>P</i>_Moe*Mid′<0.001, <i>P</i>_Mid*Mid′<0.05; proportion: <i>P</i>_Moc*Mid′<0.001, <i>P</i>_Moe*Mid′<0.05). (F) Duration and proportion of REM sleep (all <i>P</i>>0.05). **<i>P</i><0.01; *<i>P</i><0.05; ***<i>P</i><0.001.</p

Controlled Crystallization of Carbon-blended Prussian Blue Analogs for Advanced Sodium-Ion Batteries

Prussian blue analogs (PBAs) are a potential choice for cathodes in sodium-ion batteries. However, their electrochemical performance is hindered by intrinsic structural vacancies and weak electronic conductivity, resulting in a reduced reversible capacity, multiplicative ability, and cycle stability. Herein, the carbon-blended Na2CoFe(CN)6 (COHCF@C) prepared by a controlled crystallization method displays improved electrochemical characteristics. With 70% residual capacity after 200 cycles, the reversible specific capacity of the COHCF@C is 123 mAh g–1 at 1 C. Furthermore, the COHCF@C also exhibits higher structural stability in aqueous electrolytes. Based on experimental results, this enhancement can be attributed to the introduction of carbon, slowing down the crystallization process and resulting in higher crystallinity. Additionally, the reduced water content leads to fewer defects, which improves the utilization of active sites. Overall, the finding provides an experimental basis and theoretical guidance for the application of PBA cells

Additional file 1: Figure S1. of Sinomenine activates astrocytic dopamine D2 receptors and alleviates neuroinflammatory injury via the CRYAB/STAT3 pathway after ischemic stroke in mice

The effect of sinomenine on cell viability and inflammation response in astrocytes. Figure S2. Astrocytes were more hyper-responsive in sinomenine suppressing OGD-induced inflammation than microglia. Figure S3. Sinomenine increased nuclear expression of CRYAB in astrocytes. Figure S4. Blood-brain barrier (BBB) disruption evaluation by Evans blue (EB) extravasation in sham and MCAO mice. Figure S5. Effect of sinomenine on the number and activation of astrocytes after MCAO. Figure S6. Immunological identification of primary astrocyte culture. Figure S7. Effect of sinomenine on the number and activation of microglia after MCAO. Flow cytometry. (DOCX 0.99 MB

Sulfide-based MOF material modification of separators: enhancing performance of lithium-sulfur batteries by suppressing shuttle effect

Lithium-sulfur batteries (LSBs) are extensively studied owing to their high theoretical capacity and low cost. However, the shuttle effect of lithium-sulfur batteries hinders their development. In this study, we obtained a modified separator to inhibit the shuttle effect through physical and chemical adsorption. The CoS2 nanosheets (CSNS) derived from a cobalt-based metal-organic framework (Co-MOF) were synthesized by a simple two-step method involving hydrothermal sulfurization and thermal decomposition. The material was then coated onto a Polypropylene (PP) separator using vacuum filtration and assembled into a LSB for systematic testing and research of its electrochemical performance and mechanism. Thanks to the intrinsic polarity of the CSNs and more active sites brought by the Co-MOF material, the modified separator has strong chemical adsorption and catalytic effects on polysulfides, anchoring and accelerating their conversion. When using the CSNs-PP separator, the LSB achieved a high initial capacity of 1002.4 mAh g−1 at 1 C, with only a 0.099% decay per cycle after 500 cycles. The modified separator effectively alleviating the shuttle effect, reducing internal resistance, weakening reaction polarization, and improving the specific capacity, stability, and reversibility of the battery.</p

Forest plot for the association between rs560887 and FG under the additive model.

<p>Pooled ß for the additive genetic model are shown under a random-effects model. Square sizes were proportional to weight of each study in the meta-analyses. Significant association was detected in three ethnicities.</p

Characteristics of the studies on the association of three SNPs with fasting glucose.

<p>Characteristics of the studies on the association of three SNPs with fasting glucose.</p