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Poly(-Phenylene Benzobisoxazole) Nanofiber: A Promising Nanoscale Building Block Toward Extremely Harsh Conditions.
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College of Bioresources Chemical and Materials Engineering, Shaanxi University of Science & Technology, Xi'an 710021, P. R. China.
Since the invention and commercialization of poly(-phenylene benzobisoxazole) (PBO) fibers, numerous breakthroughs in applications have been realized both in the military and aerospace industries, attributed to its superb properties. Particularly, PBO nanofibers (PNFs) not only retain the high performance of PBO fiber but also exhibit impressive nanofeatures and desirable processability, which have been extensively applied in extreme scenarios. However, no review has yet comprehensively summarized the preparation, applications, and prospective challenges of PNFs to the best of our knowledge.
View Article and Find Full Text PDFCan democracy save children's lives? Addressing the constitutional problem of expertise.
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École des Mines de Paris, Paris, France.
This comment critically examines Collins, Evans, and Reyes-Galindo's (CE&RG) concept of 'virtual diversity', proposed as a norm to safeguard scientific expertise in policy-making. CE&RG argue that scientists should acquire 'interactional expertise' in relevant 'non-scientific domains', enabling informed policy advice while preserving scientific integrity. This comment describes CE&RG's dualist approach, which separates epistemic and political concerns, and discusses its implications.
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Complex System Group & GISC, Universidad Rey Juan Carlos, Madrid, 28933, Spain.
Some real-world phenomena and human-made problems have been modeled as networks where the objects form pairwise interactions. However, this is a limited approach when the existence of high-order interactions is inherent in a system, such as the brain, social networks and ecosystems. The way in which these high-order interactions affect the collective behavior of a complex system is still an open question.
View Article and Find Full Text PDFRefractory fungal infection: Three case reports highlighting good practice.
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Refractory invasive fungal disease is a significant clinical problem, with high morbidity, mortality and costs. The complex causes of refractory infection include breakthrough infection due to antifungal resistance (both innate and acquired), suboptimal therapy and impaired immune responses in critically ill or immunocompromised patients. This case series details three reports on the identification and management of refractory fungal infections, two cases of azole resistance and one case of resistant candidiasis, highlighting the importance of accurate diagnosis, monitoring, implementation of biomarkers (serological markers, PCR), antifungal susceptibility testing and antifungal stewardship to optimise management and minimise risks of emergence of drug resistance.
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Heliyon
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Higher Institute for Applied Sciences and Technology (HIAST), Damascus, P.O.Box 31983, Syria.
The precision and safety of robotic applications rely on accurate robot models. Bayesian Neural Networks (BNNs) offer the capability to acquire intricate models and provide insights into inherent uncertainties. While recent studies have successfully employed machine learning to predict the Forward Geometric Model (FGM) of a 6-DOF (degrees of freedom) parallel manipulator, traditional methods lack predictive uncertainty estimation.
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