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Background: Dietary antioxidants have been found to improve various diseases, including digestive, cardiovascular, and urinary disorders. However, the relationship between CDAI and constipation remains unclear. This study aims to investigate the potential link between CDAI and constipation among adults in the United States. Methods: This study utilized data from the National Health and Nutrition Examination Survey (NHANES) collected between 2005 and 2010. Dietary data from the respondents were obtained through two 24-hour dietary recall interviews. Multiple statistical methods, including multivariable logistic regression, subgroup analysis, and smooth curve fitting analysis, were used to explore the association between CDAI and chronic constipation. Results: A total of 10,904 participants were included in the study, of whom 1,184 were identified as having chronic constipation. After adjusting for potential confounders, multivariable logistic regression analysis showed that higher CDAI was significantly associated with a lower risk of constipation (OR = 0.958 [0.929, 0.987]). Compared to the lowest quartile, the highest quartile of CDAI was associated with a significantly reduced prevalence of constipation (OR = 0.704 [0.535, 0.927]). Subgroup analysis indicated that differences in gender, alcohol intake, and smoking status might influence the association between CDAI and constipation. Smooth curve analysis revealed an "n" shaped relationship between CDAI and constipation among non-alcohol consumers, with a turning point at a CDAI value of 1.08. Conclusion: An elevated CDAI is negatively correlated with the incidence of chronic constipation, suggesting that increasing dietary antioxidant intake may reduce constipation prevalence. These findings underscore the importance of dietary antioxidants in maintaining gut health and provide comprehensive guidance for clinical and public health practices. [ABSTRACT FROM AUTHOR]

The boom of microelectronic devices and their diverse applications has heightened the demand for innovative and effective energy supply strategies. The longevity of contemporary microelectronic devices predominantly depends on direct human intervention power supply methods, encompassing battery replacement or recharging. However, these methods may falter in specific scenarios, such as when facing liquid conditions in vivo. Here, a concept of swimmable micro‐batteries (MBs) for targeted power delivery is presented. This is achieved through the design of a flexible polydimethylsiloxane/Fe3O4 soft‐magnetic substrate for actuation, polydimethylsiloxane/neodymium‐iron‐boron (NdFeB) hard‐magnetic tabs for precise targeting, and quasi‐solid‐state Zn//MnO2 battery for power generation. These swimmable MBs exhibit an impressive areal capacity of 102.3 µAh cm‐2, remarkable waterproofing, adjustable output voltage or capacity, rapid response, and accurate remote magnetic field manipulation, enabling targeted power supply available. This novel swimmable MB design broadens the function of MBs and may open a new avenue for their future development. [ABSTRACT FROM AUTHOR]

Mobile crowd sensing ( MCS) systems, which offer a great opportunity to take full advantage of the wisdom of the crowd, naturally benefit from low deployment cost and wide spatial coverage. Due to failure or risk caused by a central server, constructing an efficient MCS system with untrustworthy participants in a decentralized manner is investigated. An efficient and practical decentralized MCS system based on a distributed auction process and the blockchain system is proposed. The proposed method achieves the optimal social profit satisfying individual rationality and protecting their privacy, through a neutral, public and trustful platform. Both theoretical analysis and numerical experiments show the effectiveness of the proposed approach. [ABSTRACT FROM AUTHOR]

Aim: Cardiac biomarkers' predictive value of contrast‐associated acute kidney injury (CA‐AKI) remains unclear. We analysed whether creatine kinase isoenzyme‐MB (CKMB), cardiac troponin I (cTnI) and preoperative N‐terminal pro‐brain natriuretic peptide (NT‐proBNP) are tied to CA‐AKI patients undergoing cardiac catheterization. Methods: In the multi‐center study, we included 3553 people underwent cardiac catheterization for analysis. CA‐AKI was defined as the absolute increase of over 0.3 mg/dL or an increase of more than 50% compared with the baseline serum creatinine within 48 hours following cardiac catheterization. Logistic regression model and receiver operating characteristic (ROC) curves were used to examine the association between cardiac biomarkers and CA‐AKI and the efficacy of Mehran risk score (MRS) model on CA‐AKI prediction with and without cardiac biomarkers. Results: Among 3553 people, 200 people eventually developed CA‐AKI. The logistic regression model showed that log10CKMB (odds ratio (OR): 1.97, 95%CI:1.51–2.57, p <.001), cTnI (OR: 1.03, 95%CI: 1.02–1.04, p <.001) and log10NT‐proBNP (OR: 3.19, 95%CI: 2.46–4.17, p <.001) were independent predictors of CA‐AKI. The ROC curve demonstrated that area under the curve (AUC) of MRS was 0.733. CKMB, cTnI and NT‐proBNP all significantly improved the AUC value in combination with MRS model. (NT‐proBNP: 0.798, p <.001; CKMB: 0.758, p =.003; cTnI: 0.755, p =.002), among which the NT‐proBNP had the best predictive efficacy improvement. Conclusion: Cardiac biomarkers of CKMB, cTnI and NT‐proBNP are all independently associated with CA‐AKI among patients undergoing cardiac catheterization while NT‐proBNP remains the best indicator. Adding CKMB, cTnI and NT‐proBNP to MRS improved the prognostic efficacy and may be considered effective tools to predict the risk of CA‐AKI in clinical practice. [ABSTRACT FROM AUTHOR]