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Network services are an important component of the Internet, which are used to expand network functions for third-party developers. Network function virtualization (NFV) can improve the speed and flexibility of network service deployment. However, with the evolution of the network, network service layout may become inefficient. Regarding this problem, this paper proposes a service chain migration (SCM) method with the framework of "software defined network + network function virtualization" (SDN+NFV), which migrates service chains to adapt to network evolution and improves the efficiency of the network service layout. SCM is modeled as an integer linear programming problem and resolved via particle swarm optimization. An SCM prototype system is designed based on an SDN controller. Experiments demonstrate that SCM could reduce the network traffic cost and energy consumption efficiently.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5739432 | PMC |
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0189336 | PLOS |
Diabetologia
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 PDFEur Child Adolesc Psychiatry
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Mental Health Unit, Virgen del Rocio University Hospital, Seville, Spain.
The COVID-19 pandemic brought unprecedented global challenges. Amid the crisis, the potential impact of COVID-19 exposure on the neurodevelopment of offspring born to infected mothers emerged as a critical concern. This is a prospective cohort study of pregnant women and their offspring enrolled in the Signature project at Hospital Universitario Virgen del Rocio in Seville, Spain, between 01/01/2024 and 08/31/2022.
View Article and Find Full Text PDFDrugs Aging
September 2025
Dalla Lana School of Public Health, University of Toronto, V1 06, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada.
Background And Objectives: Older adults living with dementia are a heterogeneous group, which can make studying optimal medication management challenging. Unsupervised machine learning is a group of computing methods that rely on unlabeled data-that is, where the algorithm itself is discovering patterns without the need for researchers to label the data with a known outcome. These methods may help us to better understand complex prescribing patterns in this population.
View Article and Find Full Text PDFJ Cancer Res Clin Oncol
September 2025
Faculty of Medicine, School of Health Sciences, University of Ioannina, Ioannina, Greece.
Targeted intraoperative radiotherapy (IORT) delivers a single dose of radiation to a fresh tumour bed immediately after lumpectomy, commonly used to treat early breast cancer (EBC). It is delivered during the same sitting, with improved patient compliance and better sparing of adjacent healthy tissue, compared to conventional adjuvant radiotherapy to the whole breast. The recently published 12-year results (median follow up of 8.
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