Results 91 to 100 of about 10,319 (255)

Simplified Small‐Signal Modeling Method for Non‐Isolated High Step‐Up Converters

International Journal of Circuit Theory and Applications, EarlyView.
A generalized small‐signal modeling methodology for a family of non‐isolated high step‐up DC‐DC converters is proposed. ABSTRACT This work presents a generalized small‐signal modeling methodology for a family of DC–DC converters based on the four‐state switching cell with a wide conversion range (WCR‐4SSC) operating in continuous conduction mode (CCM).
Samuel Antonio Macedo de Oliveira, Pedro Herysson Almeida da Silva, Fernando Lessa Tofoli, Dalton de Araújo Honório   +3 more
wiley   +1 more source

Gaborlet‐guided sparse filtering: A novel intelligent method for lithology identification by vibration signals while drilling

Deep Underground Science and Engineering, EarlyView.
The flowchart illustrates rock specimen testing, vibration signal acquisition, and feature extraction with Gaborlet and sparse filtering for classification. Abstract Traditional lithology identification methods mainly rely on core sampling and well‐logging data.
Jian Hao, Danqi Zhang, Zhenqi Song, Jinrui Wang, Qi Wang, Heqing Liu   +5 more
wiley   +1 more source

Research progress and current status of dynamic wave propagation characteristics in rock mass: A review

Deep Underground Science and Engineering, EarlyView.
This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu, Tao Li, Ruiqi Yuan, Yue Li, Bingni Wu, Bo Liu, Zhengding Deng, Galindo Rubén, Fausto Molina‐Gómez   +8 more
wiley   +1 more source

Inhibitory Control Tells Only Part of the Story: Reward Sensitivity Moderates the Prospective Link Between the No‐Go P3 and Emerging Eating Pathology in Early Adolescents

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Early adolescence is characterized by the onset of mental health problems, including eating pathology (e.g., body image concerns, restrictive eating). Inhibitory control (IC) and reward sensitivity (RS) are two key traits that have been implicated in the development of eating problems.
Jaron X. Y. Tan, Lisa Brooks, Pan Liu
wiley   +1 more source

Multidimensional Engineering Enabling Rate‐Matched C−N Coupling for Efficient Organonitrogen Electrosynthesis

EcoEnergy, EarlyView.
This review introduces rate matching as a unifying design principle for efficient electrochemical C−N coupling and highlights multidimensional engineering of catalysts, interfaces, and reactors to synchronize the generation of carbon‐ and nitrogen‐containing intermediates, balance their surface coverages, maximize C−N bond formation, and enable ...
Kaixing Cai, Chunyang Pu, Jun Yang, Guangqin Li, Jiahui Xian   +4 more
wiley   +1 more source

Dual‐Mode Electrophoretic Displays Enabled by Quantum Dot‐Decorated PR48:2 Pigment Particles and TiO2 for All‐Weather Visibility, Excellent Bistability, and Enhanced Readability

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This study presents a novel quantum dot electrophoretic display (QDEPD), which combines electro‐controlled reflection and optically‐triggered emission to achieve efficient multi‐modal switching within a single pixel. By incorporating multi‐component nanostructures, the system enhances functional integration and multi‐modal response capabilities.
Xingke Zheng, Yun Ye, Hongxing Xie, Yuanyi Liu, Ruihan Lin, Guangyou Liu, Tianyong Guan, Enguo Chen, Tailiang Guo   +8 more
wiley   +1 more source

Development and preclinical evaluation of a hybrid stereoelectroencephalographic–laser depth electrode for magnetic resonance imaging‐guided interstitial thermal therapy in drug‐resistant epilepsy

Epilepsia, EarlyView.
Abstract Objective This study was undertaken to design and validate a hybrid depth electrode combining stereoelectroencephalographic (sEEG) recording and magnetic resonance‐guided laser interstitial thermal therapy (MRgLITT) under real‐time magnetic resonance thermometry, to streamline the transition from invasive localization to focal ablation in ...
Bertrand Mathon, Karima Mokhtari, Damien Galanaud, Alexandre Carpentier   +3 more
wiley   +1 more source

A Fusion Model for Predicting the Vibration Trends of Hydropower Units

Energies
Hydropower units are essential to the safe, stable, and efficient operation of modern power systems, particularly given the current expansion of renewable energy systems.
Dong Liu, Youchun Pi, Zhengyang Tang, Hongpeng Hua, Xiaopeng Wang   +4 more
doaj   +1 more source

Learning Rocking Dynamics From Sparse Shake‐Table Data With Interpretable Physics‐Informed Neural Networks

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT We present a hybrid interpretable Physics‐Informed Neural Network Long‐Short Term Memory (Hybrid PINN LSTM) framework for predicting the seismic response of rocking blocks. Existing analytical models rely on uncertain idealizations, while purely data‐driven and machine‐learning approaches lack physical consistency and interpretability.
Shirley Shen, Christian Málaga‐Chuquitaype   +1 more
wiley   +1 more source

Variance‐Empirical Mode Decomposition Method for Fault Detection in MMC‐HVDC Transmission Lines

Energy Science &Engineering, EarlyView.
A variance‐embedded empirical mode decomposition (VEMD) method is proposed for fast and accurate fault detection in MMC‐HVDC transmission lines. By combining variance analysis with EMD, the method reliably detects various faults without communication links and remains robust to noise and non‐fault transients.
Seyed Amir Hosseini, Behrooz Taheri
wiley   +1 more source