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Academic Articles & Research Papers
Showing 16 of 36 academic articles
Subhas Khajanchi, Kankan Sarkar, Jayanta Mondal, Kottakkaran Sooppy Nisar et al. • Results in Physics
(2021)
Mathematical modeling plays an important role to better understand the disease dynamics and designing strategies to manage quickly spreading infectious diseases in lack of an effective vaccine or specific antivirals. During this period, for...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.rinp.2021.104285
Yiqiao Xin, Clareece R. Nevill, Janion Nevill, Ewan Gray et al. • BMC Medical Research Methodology
(2022)
Abstract Background Network meta-analysis (NMA) has been increasingly adopted worldwide by Cochrane reviews, guideline developers and decision-making bodies to identify optimal treatment choices. However, NMA results are often produced stat...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s12874-022-01507-x
Spiegelhalter, Myles, Jones, Keith R. Abrams • Health Technology Assessment
(2000)
BACKGROUND: Bayesian methods may be defined as the explicit quantitative use of external evidence in the design, monitoring, analysis, interpretation and reporting of a health technology assessment. In outline, the methods involve formal co...
OPENALEX
Open Access
DOI: https://doi.org/10.3310/hta4380
Sanjeewa Kularatna, Ratilal Lalloo, Jeroen Kroon, Santosh K. K. Tadakamadla et al. • Health and Quality of Life Outcomes
(2020)
Abstract Background The oral health of Indigenous children in remote communities is much worse than other population groups in Australia. Providing and maintaining an oral health service is challenging due to the remoteness of communities, ...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s12955-020-01300-8
Jiayue Guo, MPH, Lili You, PhD, Lu Liu, MPH, Xitong Jiao, MPH et al. • Mayo Clinic Proceedings: Digital Health
(2026)
Objective: To summarize the key intervention characteristics and evaluate the effectiveness and safety of digital therapeutics (DTx) in patients receiving oral anticoagulation, with effectiveness evaluated using time in therapeutic range (T...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.mcpdig.2026.100336
Renfei Kuang, Jinhai Zhao, Tuo Zhang, Chengyang Li • Journal of Marine Science and Engineering
(2025)
Offshore wind turbines are prone to structural damage over time due to environmental factors, which increases operational costs and the risk of accidents. Early detection of structural damage through monitoring systems can help reduce maint...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/jmse13040629
J.R. Gouveia, E. Silva, T.M. Mata, A. Mendes et al. • Energy Reports
(2020)
Buildings are responsible for a significant part of the global energy consumption. Besides the need to improve their energy efficiency, new buildings also need to generate their own energy, preferably from renewable sources, to become more ...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.egyr.2019.08.024
Assaf Katz, Shalom Bloch, Eliahu Cohen • Entropy
(2025)
Pseudo-entropy is a complex-valued generalization of entanglement entropy defined on non-Hermitian transition operators and induced by post-selection. We present a simulation-based protocol for detecting nonclassicality and coherent errors ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/e27111165
Minhan Yi, Minhan Yi, Minhan Yi, Wangcheng Zhao et al. • Frontiers in Immunology
(2022)
BackgroundInflammation proteins including interleukins (ILs) have been reported to be related to obstructive sleep apnea (OSA). The aims of this study were to estimate the levels for several key interleukins in OSA and the causal effects be...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fimmu.2022.888644
Su-Hsin Huang, Joon-Khim Loh, Jinn-Tsong Tsai, Ming-Feng Houg et al. • Chinese Journal of Cancer
(2017)
Abstract Background Few studies of breast cancer surgery outcomes have used longitudinal data for more than 2 years. This study aimed to validate the use of the artificial neural network (ANN) model to predict the 5-year mortality of breast...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s40880-017-0192-9
Zihao Zhang, Stefan Zohren, Stephen Roberts • The Journal of Financial Data Science
(2020)
In this article, the authors adopt deep learning models to directly optimize the portfolio Sharpe ratio. The framework they present circumvents the requirements for forecasting expected returns and allows them to directly optimize portfolio...
OPENALEX
Open Access
DOI: https://doi.org/10.3905/jfds.2020.1.042
Samane Esmaelzade Kalkhoran, Seyyed Saeed Ghannadpour • Scientific Reports
(2026)
Abstract Porphyry Cu deposits in the Urmia–Dokhtar magmatic belt constitute important exploration targets, yet the heterogeneous and multi-scale nature of geological, geochemical, and remote sensing data introduces substantial uncertainty i...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-026-61085-6
Yajing Tian, Yuyang Wang, Shasha Yin, Jia Lu et al. • Energies
(2024)
U-tube steam generators (UTSGs) are crucial in nuclear power plants, serving as the interface between the primary and secondary coolant loops. UTSGs ensure efficient heat exchange, operational stability, and safety, directly impacting the p...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/en17163916
Ziad F. Doughan, Sari S. Itani • IEEE Access
(2025)
This paper introduces Rectified Discriminatory Delta-Adjust (RDDA), a novel methodology that enhances interpolation-based predictive modeling through adaptive sensitivity parameters. Building upon the foundational Delta-Adjust algorithm, RD...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3641537
Willian Borges De Lemos, Lucas De Angelo Martins Ribeiro, Vanessa Telles Da Silva, Alessandro De Lima Bicho et al. • IEEE Access
(2025)
Graph embeddings map graph-structured data into vector spaces for machine learning tasks. In Graph Neural Networks (GNNs), these embeddings are computed through message passing and support tasks such as node classification, link prediction ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3643796
Tomasz Rokicki, Piotr Bórawski, Aneta Bełdycka-Bórawska, Bogdan Klepacki • Applied Sciences
(2026)
Port activity anomalies are rare but may signal operational constraints relevant to supply chains. The aim of the study was to develop and empirically evaluate a calibrated machine learning framework for forecasting rare, algorithmically de...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app16189017