Nanocellulose and multi-walled carbon nanotubes reinforced polyacrylamide/sodium alginate conductive hydrogel as flexible sensor.

Conductive hydrogels have been widely applied in human-computer interaction, tactile sensing, and sustainable green energy harvesting. Herein, a double cross-linked network composite hydrogel (MWCNTs/CNWs/PAM/SA) by constructing dual enhancers acting together with PAM/SA was constructed. By systematically optimizing the compositions, the hydrogel displayed features advantages of good mechanical adaptability, high conductivity sensitivity (GF = 5.65, 53 ms), low hysteresis (<11 %), and shape memory of water molecules and temperature. The nanocellulose crystals (CNWs) were bent and entangled with the backbone of the polyacrylamide/ sodium alginate (PAM/SA) hydrogel network, which effectively transferred the external mechanical forces to the entire physical and chemical cross-linking domains. Multi-walled carbon nanotubes (MWCNTs) were filled into the cross-linking network of the hydrogel to enhance the conductivity of the hydrogel effectively. Notably, hydrogels are designed as flexible tactile sensors that can accurately recognize and monitor electrical signals from different gesture movements and temperature changes. It was also assembled as a friction nanogenerator (TENG) that continuously generates a stable open circuit voltage (28 V) for self-powered small electronic devices. This research provides a new prospect for designing nanocellulose and MWCNTs reinforced conductive hydrogels via a facile method.

Association between obstructive sleep apnea and risk for post-stroke anxiety: A Chinese hospital-based study in noncardiogenic ischemic stroke patients.

OBJECTIVE: This study explored the role of obstructive sleep apnea (OSA) in post stroke anxiety (PSA) in noncardiogenic ischemic stroke patients. METHODS: 180 patients with noncardiogenic ischemic stroke were consecutively enrolled from January 2019 to December 2019. All patients underwent polysomnography (PSG) to assess for OSA. OSA severity was identified based on the apnea hypopnea index (AHI), i.e., no OSA (AHI <5), mild OSA (5 = AHI <15), and moderate to severe OSA (AHI ≥15). Neuropsychological assessments were performed at acute phase and 6 months later to evaluate anxiety (Chinese version of the Zung self-rating anxiety scale [SAS], and Beck Anxiety Inventory [BAI]), depression (Patient Health Questionnaire-9, [PHQ-9]), and cognition (Mini-mental state examination, [MMSE], and Montreal Cognitive Assessment, [MOCA]). Clinical diagnoses of PSA were made based on interviews and the anxiety scales. The correlations between PSA and OSA were investigated in Logistic regression analysis. RESULTS: The prevalence of acute-phase and 6-month PSA were 27 (15%) and 52 (28.9%) respectively. Moderate to severe OSA and post-stroke depression (PSD) were the influencing factors of acute-phase PSA. 6-Month PSA was not associated with OSA but was associated with acute-phase anxiety, education status and MOCA. Logistic regression analysis including respiratory and sleeping parameters showed that AHI and micro-arousal index contributed to acute-phase PSA. CONCLUSIONS: Acute-phase PSA was associated with OSA severity, potentially through OSA-caused sleep discontinuity. While 6-month PSA was associated with acute-phase anxiety, highlighting the need for integration of screening for and management of OSA and PSA at acute phase.

Peripheral Iron Metabolism is Associated with Leg Movements on Polysomnography but Not with the Severity of Restless Legs Syndrome or Its Impact on Patients.

Purpose: This study investigated the associations of peripheral iron status with different manifestations of restless legs syndrome (RLS), including leg movements (LMs) on polysomnography (PSG), disease severity, and impact on patients. Patients and Methods: In this cross-sectional study, 108 patients with RLS were enrolled at Sir Run Run Shaw Hospital's Center for Sleep Medicine. Demographic information, disease characteristics, RLS severity, and impact on patients were assessed through a semi-structured questionnaire. Peripheral iron indicators [serum ferritin, iron, and transferrin concentrations; unsaturated iron-binding capacity (UIBC) and total iron-binding capacity (TIBC); transferrin saturation (TSAT)] were measured following PSG to assess sleep stages, respiratory events, microarousals and LM parameters. Data from patients with and without ferritin concentration < 50 µg/L were compared in crude analyses, and Spearman correlations of other iron indicators with RLS data were examined. An ordinal logistic regression model was used to adjust for age, sex, body mass index, years of education, age at the time of RLS onset, prior treatment (yes/no), C-reactive protein (CRP)/hemoglobin level, total sleep time and apnea-hypopnea index. Results: Multivariate analysis showed that periodic LMs during sleep (PLMS) and other LM parameters were significantly associated with a ferritin concentration < 50 µg/L, UIBC, TIBC, and serum transferrin concentration, but not serum iron or TSAT. By contrast, the severity and impact of RLS were not associated with a ferritin concentration < 50 µg/L or other peripheral iron indicators in the multivariate model. Conclusion: In this study, peripheral iron status was associated mainly with motor components (LMs on PSG) rather than sensory components (severity and impact of RLS) after adequately controlling for potential confounders, such as CRP and hemoglobin levels. Commonly used peripheral iron metabolism indicators may therefore not be ideal biomarkers of RLS severity or impact on patients.