Results 21 to 30 of about 334,296 (248)

Strengthening Community Antimicrobial Stewardship in Africa: A Systematic Review of the Roles, Challenges, and Opportunities of Community Health and Animal Health Workers [version 1; peer review: 1 approved, 1 approved with reservations]

Wellcome Open Research
Antimicrobial resistance (AMR) remains a critical global health challenge, and is mainly due to inappropriate antimicrobial use in human and animal health sectors.
Dathan Byonanebye, Mackline Hope, Reuben Kiggundu, Fahad Lwaigale, Herman Mwanja, Andrew Kambugu, Conrad Tumwine, JP Waswa, Hannigton Katumba, Vivian Twemanye, Flavia Dhikusooka, Francis Kakooza   +11 more
doaj   +1 more source

Utility of syndromic surveillance for the surveillance of healthcare-associated infections in resource-limited settings: a narrative review

Frontiers in Microbiology
Globally, Healthcare-associated infections (HCAIs) pose a significant threat to patient safety and healthcare systems. In low- and middle-income countries (LMICs), the lack of adequate resources to manage HCAIs, as well as the weak healthcare system ...
Herman Mwanja, J. P. Waswa, Reuben Kiggundu, Hope Mackline, Daniel Bulwadda, Daniel Bulwadda, Dathan M. Byonanebye, Dathan M. Byonanebye, Dathan M. Byonanebye, Andrew Kambugu, Francis Kakooza, Francis Kakooza   +11 more
doaj   +1 more source

Latency-Aware DU/CU Placement in Convergent Packet-Based 5G Fronthaul Transport Networks

Applied Sciences, 2020
The 5th generation mobile networks (5G) based on virtualized and centralized radio access networks will require cost-effective and flexible solutions for satisfying high-throughput and latency requirements.
Mirosław Klinkowski
doaj   +1 more source

Towards Enhancing the Robustness of Scale-Free IoT Networks by an Intelligent Rewiring Mechanism

Sensors, 2022
The enhancement of Robustness (R) has gained significant importance in Scale-Free Networks (SFNs) over the past few years. SFNs are resilient to Random Attacks (RAs). However, these networks are prone to Malicious Attacks (MAs).
Syed Minhal Abbas, Nadeem Javaid, Ahmad Taher Azar, Umar Qasim, Zahoor Ali Khan, Sheraz Aslam   +5 more
doaj   +1 more source

Machine Learning in Intelligent Networks: Architectures, Techniques, and Use Cases

IEEE Access
Integrating machine learning (ML) into intelligent networks (INs) has redefined the capabilities of modern communication systems by enabling real-time decision-making, adaptive optimization, and enhanced security.
Elias Dritsas, Maria Trigka
doaj   +1 more source

Bayesian optimization on networks

Journal of Computational Physics
This paper studies optimization on networks modeled as metric graphs. Motivated by applications where the objective function is expensive to evaluate or only available as a black box, we develop Bayesian optimization algorithms that sequentially update a Gaussian process surrogate model of the objective to guide the acquisition of query points.
W. Li, D. Sanz-Alonso, R. Yang
openaire   +2 more sources

Introduction: Optimization in networks [PDF]

Chaos: An Interdisciplinary Journal of Nonlinear Science, 2007
The recent surge in the network modeling of complex systems has set the stage for a new era in the study of fundamental and applied aspects of optimization in collective behavior. This Focus Issue presents an extended view of the state of the art in this field and includes articles from a large variety of domains in which optimization manifests itself,
Motter, Adilson E., Toroczkai, Zoltan
openaire   +3 more sources

Measurable Residual Disease Monitoring During Treatment for Pediatric Acute Myeloid Leukemia in First Relapse

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Survival after relapse in pediatric acute myeloid leukemia (AML) remains poor, highlighting the critical importance of identifying prognostic factors to guide optimal relapse management. Methods We investigated the prognostic impact of multiparameter flow cytometry (MFC) measurable residual disease (MRD) in 188 patients with first ...
Camilla Poulsen, Kristian Juul Sandahl, Lene Karlsson, Jonas Abrahamsson, Nira Arad‐Cohen, Daniel Cheuk, Barbara De Moerloose, Linda Fogelstrand, Jose Maria Fernandez Navarro, Bianca F. Goemans, Kirsi Jahnukainen, Gertjan Kaspers, Zhanna Kovalova, Monica Cheng Munthe‐Kaas, Ulrika Norén‐Nyström, Josefine Palle, Ramune Pasauliene, Cornelis Jan Pronk, Kadri Saks, Anne Tierens, Henrik Hasle, Kristian Løvvik Juul‐Dam   +21 more
wiley   +1 more source

Service-Aware Hierarchical Fog–Cloud Resource Mappingfor e-Health with Enhanced-Kernel SVM

Journal of Sensor and Actuator Networks
Fog–cloud-based hierarchical task-scheduling methods are embracing significant challenges to support e-Health applications due to the large number of users, high task diversity, and harsher service-level requirements.
Alaa AlZailaa, Hao Ran Chi, Ayman Radwan, Rui L. Aguiar   +3 more
doaj   +1 more source

Optimal Sorting Networks [PDF]

, 2014
This paper settles the optimality of sorting networks given in The Art of Computer Programming vol. 3 more than 40 years ago. The book lists efficient sorting networks with n <= 16 inputs. In this paper we give general combinatorial arguments showing that if a sorting network with a given depth exists then there exists one with a special form.
Daniel Bundala, Jakub Zavodny
openaire   +2 more sources