The MASSIVE Survey. XX. A Triaxial Stellar Dynamical Measurement of the Supermassive Black Hole Mass and Intrinsic Galaxy Shape of Giant Radio Galaxy NGC 315 by Jacob Pilawa, Emily R. Liepold, Chung-Pei Ma, Jonelle L. Walsh, Jenny E. Greene

“…Using ∼2300 kinematic constraints, we perform triaxial stellar orbit modeling with the TriOS code and search over ∼15,000 galaxy models with a Bayesian scheme to simultaneously measure six mass and intrinsic shape parameters. …”
Get full text

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. …”
Get full text

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State by Qian Hu, Jessica Irwin, Qi Sun, Christopher Messenger, Lami Suleiman, Ik Siong Heng, John Veitch

“…However, the resulting computational demands for analyzing such prolonged signals pose a critical challenge that existing Bayesian methods cannot feasibly address in the 3G era. …”
Get full text

Evaluation of diverse polygenic risk score models for lung cancer in a small-scale Chinese cohort by Min Gao, Min Gao, Min Gao, Qiwen Zheng, Qiwen Zheng, Yue Jiang, Xiao Chang, Xiao Chang, Xin Zheng, Xin Zheng

“…However, most polygenic risk score (PRS) models have been developed using European-ancestry cohorts, raising concerns about their applicability in non-European populations.Materials and methodsIn this study, we systematically evaluated the predictive performance of three PRS approaches in a Chinese lung cancer cohort consisting of 97 cases and 667 controls. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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.…”
Get full text

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. …”
Get full text