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With the development of society, infrastructures have not only expanded in size, but have also formed complex dependencies among themselves, constituting closely interconnected network systems. At present, it has become a global consensus to enhance the resilience of infrastructure networks. In order to deeply understand how the interconnections among urban infrastructure systems affect the resilience performance of cities, this study adopts a combination of theoretical discussions and Python simulation techniques to systematically analyze the resilience dynamics of urban connected infrastructure networks when they encounter external perturbations. First, based on the principle of resilience construction and the multilayer network theoretical framework, we constructed a linkage model of the urban infrastructure network. Subsequently, focusing on the functional linkage perspective, we simulate the cascading failure mechanism of the network under three different external shocks, and construct a resilience assessment model for the urban infrastructure network with the help of the curve method of infrastructure system performance assessment. Finally, an empirical study is conducted with a county in Jiangxi Province as a specific case.
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http://dx.doi.org/10.1038/s41598-025-03730-0 | DOI Listing |
Stroke
September 2025
Department of Neurology, Yale School of Medicine, New Haven, CT (L.H.S.).
Preclinical stroke research faces a critical translational gap, with animal studies failing to reliably predict clinical efficacy. To address this, the field is moving toward rigorous, multicenter preclinical randomized controlled trials (mpRCTs) that mimic phase 3 clinical trials in several key components. This collective statement, derived from experts involved in mpRCTs, outlines considerations for designing and executing such trials.
View Article and Find Full Text PDFPLOS Glob Public Health
September 2025
Department of International Health, Center for Humanitarian Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Humanitarian crises, particularly in conflict zones, create cascading disruptions that impact every aspect of daily life, including health and disease outcomes. While international humanitarian frameworks categorize these crises into discrete operational clusters, affected populations experience them as interwoven, systemic failures. This study examines how conflict-induced disruptions transform a preventable and typically self-limiting disease-Hepatitis A-into a fatal outcome.
View Article and Find Full Text PDFDiabetologia
September 2025
Department of Diabetology and Internal Medicine, Medical University of Warsaw, Warsaw, Poland.
This review article, developed by the EASD Global Council, addresses the growing global challenges in diabetes research and care, highlighting the rising prevalence of diabetes, the increasing complexity of its management and the need for a coordinated international response. With regard to research, disparities in funding and infrastructure between high-income countries and low- and middle-income countries (LMICs) are discussed. The under-representation of LMIC populations in clinical trials, challenges in conducting large-scale research projects, and the ethical and legal complexities of artificial intelligence integration are also considered as specific issues.
View Article and Find Full Text PDFFront Psychol
August 2025
Department of Work and Social Psychology, Fontys University of Applied Sciences, Eindhoven, Netherlands.
Background: Psychosocial disability (PSD) refers to the limitations experienced by persons with mental illness (PWMI) in interacting with their social environment. Persons with psychosocial disabilities (PPSD) face significant barriers to accessing sexual and reproductive health (SRH) services due to structural and institutional barriers. Despite commitments under the Convention on the Rights of Persons with Disabilities (CRPD), there are persistent rights violations and denial of PPSD to exercise their rights and access services related to SRH care.
View Article and Find Full Text PDFPatterns (N Y)
July 2025
L3S Research Center, Leibniz University Hannover, Hannover, Germany.
OpenML is an open-source platform that democratizes machine-learning evaluation by enabling anyone to share datasets in uniform standards, define precise machine-learning tasks, and automatically share detailed workflows and model evaluations. More than just a platform, OpenML fosters a collaborative ecosystem where scientists create new tools, launch initiatives, and establish standards to advance machine learning. Over the past decade, OpenML has inspired over 1,500 publications across diverse fields, from scientists releasing new datasets and benchmarking new models to educators teaching reproducible science.
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