This brief addresses a distributed connectivity-preserving adaptive consensus tracking problem of uncertain nonlinear strict-feedback multiagent systems with limited communication ranges. Compared with existing consensus results for uncertain nonlinear lower triangular multiagent systems, the main contribution of this brief is to present an error-transformation-based design methodology to preserve initial connectivity patterns in the consensus tracking field, namely, both connectivity preservation and consensus tracking problems are considered for uncertain nonlinear lower triangular multiagent systems. A dynamic surface design based on nonlinearly transformed errors and neural network function approximators is established to construct the local controller of each follower. In addition, a technical lemma is derived to analyze the stability of the proposed connectivity-preserving consensus scheme in the Lyapunov sense.
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http://dx.doi.org/10.1109/TNNLS.2017.2764495 | DOI Listing |
Talanta
December 2024
Savannah River National Laboratory, Aiken, SC, 29808, USA. Electronic address:
Intentional nuclear forensics is a concept wherein the deliberate addition of benign and persistent material signatures to nuclear material can be used to reduce the time between the discovery of material outside of regulatory control and determination of its original provenance. One concept within intentional nuclear forensics involves the use of perturbed stable isotopes to generate unique isotope ratio "barcodes" to encode information (e.g.
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December 2024
University of Montreal, Montreal, QC, Canada.
Objective: Carotid artery intima-media thickness (IMT) is a non-invasive ultrasound marker of early atherosclerosis. This systematic review and meta-analysis aim to report the published differences in IMT values in children living with overweight or obesity compared to controls with normal weight.
Methods: This review was conducted according to PRISMA guidelines, including only cohorts with normal controls.
BMC Public Health
December 2024
University Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland.
Background: Scientists can play an important role in policymaking by providing evidence and consensual expert opinion on the state of scientific knowledge. Delphi surveys have been widely used to develop consensus on a topical issue, yet not compatible with public health crisis situations requiring rapid decisions. We developed a fast-track Delphi process, providing experts with a structured approach to rapidly develop and quantify consensus in support of informed policy decisions.
View Article and Find Full Text PDFFront Big Data
November 2024
Tobacco Control Research Group, Department for Health, University of Bath, Bath, United Kingdom.
Background: Accurate sentiment analysis and intent categorization of tobacco and e-cigarette-related social media content are critical for public health research, yet they necessitate specialized natural language processing approaches.
Objective: To compare pre-trained and fine-tuned Flan-T5 models for intent classification and sentiment analysis of tobacco and e-cigarette tweets, demonstrating the effectiveness of pre-training a lightweight large language model for domain specific tasks.
Methods: Three Flan-T5 classification models were developed: (1) tobacco intent, (2) e-cigarette intent, and (3) sentiment analysis.
Front Physiol
November 2024
Institute of Cardiovascular Science, University College London, London, United Kingdom.
Near-infrared spectroscopy (NIRS) is an optical technique that can be used to non-invasively interrogate haemodynamic changes within skeletal muscle. It can be combined with a short (3-5 min) arterial cuff-occlusion to quantify post-occlusive reactive hyperaemia (PORH). This technique has utility in tracking changes in vascular health in relation to exercise, disease progression or treatment efficacy.
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