Results 151 to 160 of about 13,061 (285)

Enabling Ultrastable Microbubbles With Graphene Aerogel Enrichment and Machine Learning for Highly Efficient Carbon Storage

Electron, EarlyView.
This study aims to introduce a novel‐designed structure of the colloidal aphron microbubbles reinforced by incorporating hydrophobic aerographene microparticles onto the hydrophobic outer shell. This results in the formation of a robust composite film and armored microbubble that offers exceptional ultrastability under elevated pressures of up to 400 ...
Mohammad Hossein Akhlaghi, Malek Naderi, Ali Pilehvar Meibody, Shurui Yang, Mojtaba Abdi‐Jalebi   +4 more
wiley   +1 more source

Protecting Privacy and Ethics in AI-driven Conversational Systems using Laplace Mechanism

Turkish Journal of Engineering
AI-powered analytics and conversational systems designed for data mining and other manipulative tasks raise concerns about who can access data and how to utilize it. This data progression has brought forth significant ethical considerations concerning privacy and ethics. AI-powered conversational agents, such as chatbots and virtual assistants, collect
Kavita Arora, Neha Gupta, Kamal Upreti, Rituraj Jain, G V Radhakrishnan   +4 more
openaire   +1 more source

Design and Experimental Study of Pressure Maintenance and Temperature Control System for Hydrate Pressure Core Processing Device

Energy Science &Engineering, EarlyView.
This paper presents a hydrate pressure core processing device integrated with a high‐precision active control system to perform nondestructive transfer, cutting, and analysis. To address the limitations of slow dynamic response and high thermal inertia in traditional passive systems, a differentiated control scheme is implemented.
Liwen Nan, Jiawang Chen, Qiaoling Gao, Yingjie Liu   +3 more
wiley   +1 more source

Decentralized Federated Learning for Wind Turbine Bearing Prognostics Under Data Scarcity and Statistical Heterogeneity

Energy Science &Engineering, EarlyView.
This paper proposes a decentralized peer‐to‐peer federated learning framework for wind turbine bearing remaining useful life prediction, introducing a virtual client paradigm in which statistical health indicators serve as independent feature‐level clients—enabling privacy‐preserving collaborative prognostics from a single physical asset under ...
Jihene Sidhom, Lotfi Saidi, Eric Bechhoefer   +2 more
wiley   +1 more source

Study on Condensation Heat Transfer Enhancement via Synergistic Regulation of Micro/Nano Structures on Superhydrophobic Surfaces

Zhileng xuebao
Constructing micro/nanostructured surfaces to manipulate droplet behavior is an effective approach for enhancing condensation heat transfer. However， existing studies rarely discuss the matching effect of micro- and nano-structures.
Xie Huairun, He Jiacheng, Chen Jianyong, Chen Ying   +3 more
doaj  

Revolutionizing Healthcare With Paper‐Based Nucleic Acid Testing

Exploration, EarlyView.
This work summarizes strategies to enhance paper‐based devices for nucleic acid testing. Key approaches include optimizing paper platforms, improving nucleic acid amplification, and refining labeling/signaling methods. These advancements aim to boost sensitivity, speed, and usability, making paper‐based diagnostics more effective for point‐of‐care ...
Hong Zhang, Yi Yang, Heng Li, Xiaolin Hu, Hui Xiao, Dou Wang, Sergio Benardini, Wei Gu, Yang Luo   +8 more
wiley   +1 more source

Subspace Acceleration for Efficient Nonlinear Water Wave Simulation

International Journal for Numerical Methods in Fluids, EarlyView.
We introduce an exponentially weighted subspace acceleration technique to reduce GMRES iterations for solving the Poisson equation with time‐dependent coefficients in nonlinear, dispersive free‐surface flows governed by the incompressible Navier‐Stokes equations. The method significantly reduces memory requirements and computational complexity compared
Rasmus Kleist Hørlyck Sørensen, Margherita Guido, Allan Peter Engsig‐Karup, Daniel Kressner   +3 more
wiley   +1 more source

Solid–Liquid Triboelectric Nanogenerators as Physicochemical Encoders for Intelligent Liquid Recognition

Interdisciplinary Materials, EarlyView.
Solid–liquid triboelectric nanogenerators are conceptualized as dynamic physicochemical encoders that encode intrinsic liquid properties into distinguishable triboelectric fingerprints. This review provides a unified framework for these platforms, covering sensing mechanisms in droplet impact, continuous flow, and immersion modes.
Mingrui Wang, Yuanzhe Liang, Lining Zhang, Tian Tang, Kean C. Aw, Kai Qian, Ziyi Dai, Bingpu Zhou, Lihua Tang   +8 more
wiley   +1 more source

A generic Bayesian approach using Laplace approximation for model-based failure prognosis

, 2013
Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Mechanical EngineeringA generic Bayesian framework using Laplace approximation for model-based remaining useful life prognosis is presented in this thesis.
Xu, Liang
core  

Geographical Pattern of Testicular Cancer Points to Maternal Exposures Behind Increasing Incidence

International Journal of Cancer, EarlyView.
ABSTRACT Evidence suggests that testicular cancer (TC) originates from germ cell neoplasia in situ arising during fetal development, implying that prenatal environmental exposures may influence disease risk. We investigated whether maternal place of residence during pregnancy is associated with regional variation in TC incidence.
Antti Kaipia, Karri Seppä, Elli Hirvonen, Eetu Mäkinen, Nea Malila, Janne Pitkäniemi, Jorma Toppari, Peter Boström, Heikki Seikkula   +8 more
wiley   +1 more source