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The Sustainable Development Goals (SDGs) adopted by the United Nations in 2015 represent the current perceptions of humans regarding understanding and monitoring development. Achieving all 17 goals simultaneously is unrealistic. Considering the interconnected nature of SDGs, identifying their critical dimensions, goals, indicators, and mutual relationships is necessary. In addition, with increasing reservations about the sustainability of SDGs, it is crucial to explore consistency across different dimensions to ensure policy coherence in maximizing synergies and minimizing trade-offs. Our study employed multiple factor analysis (MFA) and hierarchical clustering on principal components (HCPC) to investigate these issues and analyze the results based on the public value (PV) theory. The results indicated that the Human Development Index (HDI) and gross domestic product per capita (GDPP) constitute the first principal component (PC) and are determinants in differentiating country clusters. However, they contradict environmental indicators such as CO2 emissions per capita and ecological footprint gha per person (EFP) and have low synergy with the Happy Planet Index (HPI). Additionally, the relationships between income level, inequality, and environmental quality correspond to a combined Kuznets curve and an environmental Kuznets curve (EKC). Moreover, governance capacity has become increasingly crucial in sustainable development, particularly in the capability to prioritize different PVs in a timely and strategic manner. Finally, despite the novelty of EFP and HPI, they cannot reveal the entire development story. SDGs require embracing more such indicators to enrich the value bases of development and achieve a sustainable future. [ABSTRACT FROM AUTHOR]

Background: Abdominal penetrating aortic ulcer (aPAU) is defined as an ulceration of the aortic intima and media lamina, even with rupture of the internal elastic lamina. Recently, there have been an increasing number of publications on endovascular treatment for aPAU. This review aimed to assess the efficacy and safety of endovascular treatment and provide clinicians with the latest evidence-based medical data. Methods: 3 academic databases (Embase, PubMed, and Scopus) were systematically searched for literature reporting on aPAU from 1986 (the earliest appearance of the concept of aPAU) to September 1, 2021, and related data were collected and evaluated. A fixed/random effects model was used to construct the forest plots. Funnel plots and linear regression tests were used to assess the publication bias. Results: 6 articles including 121 patients were included in the analysis. The average age was 71.4 years, with 72.7% of males and 85.6% with hypertension. Saccular aneurysms (SA) were the most prevalent complication (35.5%). Endovascular treatment had a perioperative mortality rate of.24% (95% CI,.00-2.70). The technical success rate was 99.15% (95% CI, 96.49-100). The type-II endoleak rate was 5.69% (95% CI,.00-12.13). The 1-year survival rate was 95.69% (95% CI, 90.49-100). The revascularization rate was 7.20% (95% CI,.07-14.32). Endovascular treatments for aPAU would lead to a high rate of technical success, few complications, and satisfactory 1-year survival. Conclusions: aPAU are a common disease that mainly affects elderly males with hypertension and hyperlipidemia. Endovascular treatment is required when an ulcer progresses rapidly or manifests symptoms. Endovascular treatment is associated with high technical success, low complication, and satisfactory 1-year survival. Further investigation into the long-term results of endovascular treatment is necessary. [ABSTRACT FROM AUTHOR]

Flexible strain sensors have important applications in wearable electronics, human motion monitoring, and healthcare. Soft, compatible, and conductive hydrogels are considered promising stretchable materials. However, hydrogel-based sensors still face challenges with the combined advantages of good electrical conductivity, low strain limit (less than 5%), mechanical strength, and anti-interference. As a result, most hydrogel-based sensors cannot stably recognize human tiny movements (such as pulse, throat, etc.). Herein, we constructed a double network (DN) hydrogel consisting of SA–Zn and P(AA-AM) to boost the mechanical performance and prepare the graphene oxide (GO) modified by polydopamine@Ag nanoparticles (PDA@Ag) via a one-step redox reaction method to enhance the sensitivity. The prepared GO/PDA@Ag/SA–Zn hydrogel strain sensor has an ultralow strain detection limit (0.1%), good gauge factor (GF = 8.29), and high stretchability (600%). It is proven that the hydrogel strain sensor can work as a wearable device to continuously monitor full-scale human motions. Furthermore, it works as a speech interface to detect subtle throat speech movements and which is further classified by a transfer learning algorithm based on the Resnet50 neural network, demonstrating that our sensor can recognize ten kinds of common words expressing physical demands with a precise accuracy of 100%. It provides the possibility to help patients or weak people with voice disorders in the hospital express their requirements. This work provides new insights into fabricating flexible hydrogel strain sensors with promising applications in next-generation intelligent wearable devices for healthcare, medical treatments, diagnosis, therapy, and rehabilitation. [ABSTRACT FROM AUTHOR]