A Semantic Generalization of Shannon’s Information Theory and Applications by Chenguang Lu

“…This paper shows G theory’s applications to daily and electronic semantic communication, machine learning, constraint control, Bayesian confirmation, portfolio theory, and information value. …”
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Multi-criteria pressure sensors placement in water distribution networks using fuzzy TOPSIS by Mohammad Mehdi Riyahi, Carlo Giudicianni, Amin E. Bakhshipour, Ali Haghighi, Enrico Creaco

“…These candidate nodes are then fed into the new optimization algorithm, called the binary genetic-differential evolutionary algorithm (BGDE), to find the optimal nodes, which are then sorted using the fuzzy TOPSIS method. The BGDE considers sensitivity and entropy as objective functions, while the investment cost is taken into account as a constraint. …”
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Associations among blood heavy metals, neurofilament light chains and cognition function in US adults: NHANES 2013–2014 by YuYan Zhou, YaKun Wang, ChunFang Qiu, YuXuan Man, XiaoNian Zhu, ShengKui Tan, HuaiCai Zeng, XueFeng Guo, ZhengBao Zhang

“…Further investigations are required to validate these findings, considering the constraints of the NHANES study.…”
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Handling Censoring and Censored Data in Survival Analysis: A Standalone Systematic Literature Review by Anthony Joe Turkson, Francis Ayiah-Mensah, Vivian Nimoh

“…These methods include censored network estimation; conditional mean imputation method; inverse probability of censoring weighting; maximum likelihood estimation; Buckley-Janes least squares algorithm; simple multiple imputation strategy; filter algorithm; Bayesian framework; β-substitution method; search-and-score-hill-climbing algorithm and constraint-based conditional independence algorithm; frequentist; Markov chain Monte Carlo for imputed data; quantile regression; random effects hierarchical Cox proportional hazards; Lin’s Concordance Correlation Coefficient; classical maximum likelihood estimate. …”
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Building Construction Design Based on Particle Swarm Optimization Algorithm by Wenxue Song

“…Through the analysis of prefabricated building construction safety risk factors, the combination of the Markov Chain and Bayesian networks method was used to estimate the probability of risk factors. …”
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Trends in Global Burden and Socioeconomic Profiles of Atrial Fibrillation and Atrial Flutter: Insights from the Global Burden of Disease Study 2021 by Samuel Chin Wei Tan, MD, Mae-Ling Tang, MD, Hongyuan Chu, MD, Yun-Tao Zhao, MD, Cuilian Weng, MD

“…This study quantifies the burden and identifies key risk factors for AF/AFL across 204 countries and territories from 1990 to 2021. Methods: Using data from the Global Burden of Disease (GBD) study 2021, we employed average annual percentage change (AAPC) and Bayesian Age Period Cohort (BAPC) modelling to assess trends and future projections, with a focus on disparities across Socio-Demographic Index (SDI) levels. …”
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Parameter Optimization of Balise Circuit Based on Fusion of BNN and Genetic Algorithm by Zhengjiao Li, Zishuo Zhao, Jiang Liu, Zhongqi Zhang, Baigen Cai

“…However, the circuit has high complexity, many parameters need to be considered in optimization, and the constraint relationship is complex. Optimizing a single objective is very difficult and time-consuming. …”
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Lens Modeling of STRIDES Strongly Lensed Quasars Using Neural Posterior Estimation by Sydney Erickson, Sebastian Wagner-Carena, Phil Marshall, Martin Millon, Simon Birrer, Aaron Roodman, Thomas Schmidt, Tommaso Treu, Stefan Schuldt, Anowar J. Shajib, Padma Venkatraman, The LSST Dark Energy Science Collaboration

“…After verifying our method using simulated analogs of the STRIDES lens sample, we apply our method to 14 Hubble Space Telescope single-filter observations. …”
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