Results 161 to 170 of about 16,631 (258)

Carbon emission assessment of tunnel infrastructures: From construction to operation

Deep Underground Science and Engineering, EarlyView.
This study develops a lifecycle carbon accounting framework for tunnel infrastructures, covering design, construction, operation, maintenance, and dismantling. Applied to a subsea tunnel case, the framework reveals the carbon emission distribution among four typical tunnel types and highlights potential carbon offset methods for low‐carbon tunnel ...
Luyuan Long, Wout Broere, Xuehui Zhang, Tian Xia, Richard de Nijs   +4 more
wiley   +1 more source

Dimensional Engineering of Wet‐Spun MOF‐Based Woven Fabrics for Superior Electromagnetic Wave Absorption

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This work fabricated MOF‐based woven absorbing fabrics with dimensional engineering via a wet spinning strategy. The absorbing fabrics achieve a reflection loss of −51.47 dB at 2.9 mm, with an effective absorption bandwidth reaching 3.54 GHz. The absorbing fabrics can be freely bent, stretched, and folded, with individual fibers exhibiting a break ...
Zihao Yan, Liyuan Guan, Qing Liu, Junhao Lin, Jianyong Yu, Bin Ding, Zhaoling Li   +6 more
wiley   +1 more source

Quantum Radar and Noise Radar – Overview and Performance Evaluation

Both Noise Radar (NR) and Quantum Radar (QR), with alleged common features, aim to use the randomness of the transmitted signal to enhance radar covertness and to reduce mutual interference. While NR has been prototypically developed and successfully tested in many environments by different organizations, research and development investments on QR did ...
Gaspare Galati, Gabriele Pavan, Frederick Daum   +2 more
openaire   +1 more source

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

Decoding epilepsy's molecular blueprint: Machine learning unravels transcriptomic subtypes and regulatory networks

Epilepsia, EarlyView.
Abstract Objective Drug‐resistant epilepsy (DRE) affects approximately one‐third of patients with epilepsy. The molecular heterogeneity underlying DRE remains poorly defined, largely due to limited access to resected brain tissue and substantial genetic diversity.
Yanping Weng, Yu Ma, Wanwan Hou, Haibo Li, Yuanfeng Zhou, Rui Zhao, Hao Li, Lian Chen, Yangyang Ma, Li Jin, Yi Wang, Yu An   +11 more
wiley   +1 more source

Feasibility of Wind‐Powered Green Hydrogen Production via a Hybrid Graph Neural Network‐Transformer Forecasting Model

Energy Science &Engineering, EarlyView.
ABSTRACT Accurate long‐term wind speed forecasting is pivotal for the strategic planning of renewable energy infrastructure, particularly for assessing the techno‐economic feasibility of wind‐powered green hydrogen facilities. However, capturing the complex spatiotemporal dependencies in climate data remains a significant challenge. This study proposes
Iman Baghaei, Mojtaba Mirhosseini, Alireza Zahedi   +2 more
wiley   +1 more source

Stability Evaluation and Parametric Optimization of Coal‐Concrete Composite Bearing Systems Under Mine‐Water‐Induced Deterioration: Experiments and FEINN Analysis

Energy Science &Engineering, EarlyView.
Mine‐water immersion tests reveal pronounced coal weakening (vs. minor concrete degradation), identifying coal pillars as the stability‐limiting component in composite dams. A coupled FEINN framework quantifies extreme‐pressure stability and ranks multi‐parameter designs via a normalized multi‐indicator scheme, enabling optimized dam configuration for ...
He Wen, Hongchuan Dai, Guixin Zhang, Pengzhe Li, Tong Yang, Cang Gong, Renbo Gao   +6 more
wiley   +1 more source

Characterization of Cantaloupe, Grape, Pumpkin, and Tomato Seed Oils From Xinjiang: Oxidative Stability, Volatile‐Compound Analysis, and Sensory Evaluation

Food Chemistry International, EarlyView.
This study compares oxidative stability, fatty acid profiles, volatile compounds, and sensory attributes of four Xinjiang seed oils. Distinct aldehyde‐driven aroma patterns and compositional differences were revealed, providing a scientific basis for quality evaluation and valorization of underutilized plant seed oils in food applications.
Yilai Wan, Zhanglian Chen, Hongbin Wu, Wenyu Liu, Changqing Wei   +4 more
wiley   +1 more source

Monitoring and assessment for obstructive sleep apnea

FlexMat, EarlyView.
This review systematically classifies Obstructive Sleep Apnea (OSA) monitoring indicators into three categories: physical, biochemical, and electrophysiological indicators, and lists several methods for each category. Abstract Obstructive sleep apnea (OSA) is a common chronic sleep‐disordered breathing disease characterized by recurrent upper airway ...
Yaowen Xu, Feifei Lin, Shujiao Chen, Zhen You, Shujing Zhu, Weiwei Zhao, Qiang Zhao   +6 more
wiley   +1 more source

Special Issue on Noise Radar [PDF]

IEEE Aerospace and Electronic Systems Magazine, 2019
openaire   +3 more sources