Results 41 to 50 of about 282,399 (295)

Healthy diet intervention reverses the progression of NASH through gut microbiota modulation

Microbiology Spectrum
Diet and gut microbiota impact the progression of non-alcoholic steatohepatitis (NASH). An unhealthy diet, rich in fat and sugar, promotes gut microbiota dysbiosis, leading to the translocation of lipopolysaccharides (LPS) and other harmful pathogen ...
Suraphan Panyod, Wei-Kai Wu, Meng-Yun Hu, Huai-Syuan Huang, Rou-An Chen, Yi-Hsun Chen, Ting-Chin David Shen, Chi-Tang Ho, Chun-Jen Liu, Hsiao-Li Chuang, Chi-Chang Huang, Ming-Shiang Wu, Lee-Yan Sheen   +12 more
doaj   +1 more source

The Immune Microenvironment: New Therapeutic Implications in Organ Fibrosis

Advanced Science, EarlyView.
This review summarizes recent advances in understanding the immune microenvironment's role in fibrosis, focusing on phenotypic/functional alterations of immune cells and their dynamic interactions with other cellular constituents within tissues. The authors further explore therapeutic opportunities and challenges in targeting immune microenvironment ...
Xiangqi Chen, Chuan Wu, Fei Tang, Jingyue Zhou, Li Mo, Yanping Li, Jinhan He   +6 more
wiley   +1 more source

The future of dispute resolution in international trade

Applied Economic Perspectives and Policy, EarlyView.
Abstract Given ongoing dysfunction of the World Trade Organization's Appellate Body, the focus of this article is on the future of trade dispute resolution, with evaluation of two questions: (i) What is the current status of WTO dispute resolution as compared to that conducted through existing preferential trade agreements (PTAs)? and (ii) What are the
Ian Sheldon, Daniel C. K. Chow
wiley   +1 more source

Partial-Information Q-Learning for General Two-Player Stochastic Games [PDF]

arXiv, 2023
In this article we analyze a partial-information Nash Q-learning algorithm for a general 2-player stochastic game. Partial information refers to the setting where a player does not know the strategy or the actions taken by the opposing player. We prove convergence of this partially informed algorithm for general 2-player games with finitely many states
arxiv  

Joint Situational Assessment‐Hierarchical Decision‐Making Framework for Maneuver Intent Decisions

Advanced Intelligent Systems, EarlyView.
This study introduces a new framework for decision‐making in unmanned combat aerial vehicles (UCAVs), integrating graph convolutional networks and hierarchical reinforcement learning (HRL). The method tackles adopts a curriculum‐based training approach guided by cross‐entropy rewards.
Ruihai Chen, Hao Li, Guanwei Yan, Haojie Peng, Qian Zhang   +4 more
wiley   +1 more source

Colordag: An Incentive-Compatible Blockchain [PDF]

arXiv, 2023
We present Colordag, a blockchain protocol where following the prescribed strategy is, with high probability, a best response as long as all miners have less than 1/2 of the mining power. We prove the correctness of Colordag even if there is an extremely powerful adversary who knows future actions of the scheduler: specifically, when agents will ...
arxiv  

Cooperative Merging in Mixed Traffic Based on Strategic Influence of Connected Automated Vehicles on Human‐Driven Vehicle Behavior

Advanced Intelligent Systems, EarlyView.
This study proposes an optimization‐based cooperative merging strategy for connected and automated vehicles (CAVs) in mixed traffic. By leveraging the strategic influence of CAVs on human‐driven vehicles (HDVs), the method reduces uncertainties in HDV behavior and improves traffic flow, achieving up to 31% reduction in average travel time delay ...
Kyunghwan Choi, Seongjae Shin, Minseok Seo   +2 more
wiley   +1 more source

Model-Aware XGBoost Method Towards Optimum Performance of Flexible Distributed Raman Amplifier

IEEE Photonics Journal, 2023
Toward the next-generation ultra-long-haul optical network, an extremely gradient boosting (XGBoost)-aided machine learning (ML) model is proposed to maximize the flexibility and uniformity in the performance of distributed Raman amplifier (DRA).
Anand Prakash, Jaisingh Thangaraj, Sharbani Roy, Shaury Srivastav, Jitendra K. Mishra   +4 more
doaj   +1 more source

A survey on algorithms for Nash equilibria in finite normal-form games [PDF]

arXiv, 2023
Nash equilibrium is one of the most influential solution concepts in game theory. With the development of computer science and artificial intelligence, there is an increasing demand on Nash equilibrium computation, especially for Internet economics and multi-agent learning.
arxiv  

Fairness in Federated Learning: Trends, Challenges, and Opportunities

Advanced Intelligent Systems, EarlyView.
This survey delves into the intricate issues pertinent to fairness in federated learning , where various biasing factors can skew model performance. By systematically analyzing fairness‐aware strategies, evaluation metrics, and future directions, this work identifies pivotal research gaps in existing approaches and sheds light on both challenges and ...
Noorain Mukhtiar, Adnan Mahmood, Quan Z. Sheng   +2 more
wiley   +1 more source