Results 121 to 130 of about 34,460 (284)
Managing Crystallization in Tin‐Lead Perovskite Solar Cells via Differential Chelating Coordination
A chelation‐mediated crystallization strategy is developed for Sn–Pb perovskites using 1,10‐phenanthroline. Stronger coordination with Sn than Pb helps reconcile their mismatched crystallization behavior, leading to improved crystalline quality, fewer defects, and reduced oxidation.
Zihao Feng +9 more
wiley +1 more source
This study focuses on the integration of vacuum membrane distillation into the multi-effect distillation (VMD-MED) system, incorporating heat recovery mechanisms to augment fresh water productivity and minimize the specific thermal energy consumption of ...
Wajeeha Bibi +3 more
doaj +1 more source
Abstract Objective Developmental and epileptic encephalopathies (DEEs) are characterized by drug‐resistant seizures and developmental slowing/regression. We examined the efficacy and tolerability of fenfluramine (FFA) in pediatric and adult patients with Lennox–Gastaut syndrome (LGS), Dravet syndrome (DS), and other DEEs.
Vicente Villanueva +29 more
wiley +1 more source
Wind power forecasting with a VMD-LSTM-informer hybrid deep learning model
The integration of wind power systems into power grids poses operational challenges due to the inherent intermittency of wind power generation. Accurate wind power prediction can help mitigate these problems and improve grid reliability.
Qiantong Zheng, Yubao Liu, Tingting Gu
doaj +1 more source
A Review on Variational Mode Decomposition for Rotating Machinery Diagnosis
Signal processing method is very important in most diagnosis approach for rotating machinery due to non-linearity, non-stationary and noise signals. Recently, a new adaptive signal decomposition method has been proposed by Dragomiretskiy and Zosso known ...
Isham M. Firdaus +3 more
doaj +1 more source
High Precision Prediction Model of Wind Speed for Underground Mine Tunnel by Using ASTF Net
This paper proposes an Adaptive Spectral‐Temporal Fusion Net (ASTF‐Net), which features a novel decomposition‐ensemble framework with adaptive feature fusion. This design deliberately balances spectral and temporal features and effectively boosts prediction accuracy in complex ventilation environments. ABSTRACT An Adaptive Spectral‐Temporal Fusion Net (
Ruo‐Qi Li +4 more
wiley +1 more source
Abstract Background Treatment with the sodium‐glucose co‐transporter 2 (SGLT2) inhibitor canagliflozin in insulin dysregulated (ID) horses has shown promising results in randomised clinical trials. Larger field studies are needed to further evaluate treatment responses and potential adverse effects under real‐world conditions.
Moa Hällbom +3 more
wiley +1 more source
A “gemstone‐necklace” FASCE strategy synthesizes single‐component white polymers (PTF‐Qx) by alternating rigid TADF units with flexible alkyl chains. The non‐doped rigid device achieves a high EQE of 15.66% with stable white emission (CIE: 0.36, 0.46).
Wenhao Zhang +7 more
wiley +1 more source
Stock price forecasting is complex due to the nonlinear and nonstationary nature of financial time series. This study proposes a hybrid variational mode decomposition (VMD)–generalized autoregressive conditional heteroskedasticity (GARCH)–long short-term
John Kamwele Mutinda +2 more
doaj +1 more source
Variational Mode Decomposition and Deep Learning for Geomagnetic K-Index Prediction
Geomagnetic K-index characterizes local disturbance intensity on a quasi-logarithmic scale and serves as a critical input for space weather early warning systems. Predicting this index is challenging due to its non-stationary, chaotic nature and severely
Asmadi Djasman +2 more
doaj +1 more source

