Results 201 to 210 of about 21,314 (302)

Modeling and Output Optimization of Triboelectric Microphone for Acoustic Energy Harvesting

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This work elucidates the fundamental multiphysics coupling mechanisms governing acoustic T‐phone, providing a critical theoretical foundation and a predictive design paradigm for the future engineering and deployment of next‐generation, self‐powered acoustic sensors.
Dan Liu, Jie Zhu, Shilong Wang, Chaobin Jia, Tao Jiang, Guofei Zhou, Jiajia Shao   +6 more
wiley   +1 more source

Square integrable solutions and stability of a second-order stochastic integro-differential equation. [PDF]

Sci Rep
Oudjedi-Damerdji LF, Meziane M, Djidel O, Boulaaras S, Alharbi A.   +4 more
europepmc   +1 more source

Concept, Tests, and Optimum Design of Novel Negative Stiffness Friction Dampers for Seismic Protection of Long‐Span Bridges

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Viscous dampers (VDs) are widely used to mitigate the excessive responses of long‐span bridges. However, VDs face some intricate challenges in engineering practices, including high damping coefficient requirement, potential base shear amplification and tremendous damping force under high velocity. To address these issues, this study develops a
Ruisheng Ma, Shaodong Jiang, Kun Xu, Qiang Han, Xiuli Du, Kaiming Bi   +5 more
wiley   +1 more source

Rejection or support? research on labor participation strategy of older adults based on three-party evolutionary game. [PDF]

PLoS One
Shen Y, Zhong Y, Sun F.
europepmc   +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

Particle swarm optimized deep learning for jamming detection and throughput enhancement in cognitive radio networks. [PDF]

Sci Rep
Imran M, Ibrahim K, Zhiwen P, Nan L, Qahmash A, Atteia G, Akram T.   +6 more
europepmc   +1 more source

Recovery Factor of Pure Helium Injection in Depleted Gas Reservoirs and Its Influencing Factors

Energy Science &Engineering, EarlyView.
This study employs compositional numerical simulation to systematically investigate the effects of injection rate, production rate, storage duration, and injection‐production scheme on pure helium recovery in depleted gas reservoirs. Low injection rates reduce viscous fingering while high production rates maximize near‐wellbore helium extraction ...
Shijie Zhu, Danlin Chen, Yang Wang, Zuping Xiang, Zhijun Li, Mengna Yang, Da Li   +6 more
wiley   +1 more source

Evaluation of Energy Price Shock Effect on Macroeconomic Variables in Iran:Introducing a Dynamic Stochastic General Equilibrium Model [PDF]

Pizhūhishnāmah-i Iqtiṣād-i Inirzhī-i Īrān, 2012
Esmail. Abunoori, mihamadhadi Rajaii
doaj  

The Interplay Between Non-Instantaneous Dynamics of mRNA and Bounded Extrinsic Stochastic Perturbations for a Self-Enhancing Transcription Factor. [PDF]

Entropy (Basel)
Cabriel L, Caravagna G, de Franciscis S, Anselmi F, D'Onofrio A.   +4 more
europepmc   +1 more source

Inter‐Material Transfer Learning for Accelerated Nanofluid Heat Transfer Prediction: A Machine Learning Approach for Energy Systems

Energy Science &Engineering, EarlyView.
This study presents an inter‐material transfer learning framework for nanofluid heat transfer prediction in energy systems. By leveraging knowledge from Al2O3‐water data, the model accurately predicts hybrid Al2O3‐TiO2 nanofluid performance with only 20 simulations, achieving R2 = 0.985 and reducing computational requirements by 78. ABSTRACT This paper
Soumaya Hadj Salah, Aymen Ochi, Sonia Bezi   +2 more
wiley   +1 more source