This work systematically reviews the key factors influencing the performance of low‐temperature NH3‐SCR. The mechanism and challenges of defect engineering strategies, such as oxygen vacancies, heteroatom doping, crystal facet exposure, and surface reconstruction, in controlling both activity and selectivity were analyzed.
Rongrong Kan +3 more
wiley +1 more source
Handling Data Heterogeneity in Electricity Load Disaggregation via Optimized Complete Ensemble Empirical Mode Decomposition and Wavelet Packet Transform. [PDF]
Chui KT, Gupta BB, Liu RW, Vasant P.
europepmc +1 more source
This review is about material design based on engineering multilevel sites from theoretical calculation and synthetic routes to mechanism, structure–activity relationship, challenges and perspectives for boosting hydrogen production in alkaline electrolyte. Electrolytic water splitting is a clean, carbon‐free method for producing green hydrogen and has
Ke Zhang +9 more
wiley +1 more source
Forecasting the Tuberculosis Incidence Using a Novel Ensemble Empirical Mode Decomposition-Based Data-Driven Hybrid Model in Tibet, China. [PDF]
Li J +7 more
europepmc +1 more source
Harnessing Thin‐Film Solid‐State Electrolytes: Enabling Breakthroughs in All‐Solid‐State Batteries
Schematic illustration highlighting the advantages of transitioning from traditional thick solid‐state electrolytes (SSEs) to thin‐film SSEs. Thinning the electrolyte enables higher ionic conductivity, reduced interfacial polarization, improved flexibility, compact electrode contact, and enhanced energy density, offering a promising pathway toward high‐
Yitao He +3 more
wiley +1 more source
The proposed framework operates as a continuous cycle: organizational data streams feed into predictive optimization, which generates energy efficiency targets. These targets are translated into behavioral directives through human resource management mechanisms.
Huang Juan, Aimi Binti Anuar
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A Hydraulic Pump Fault Diagnosis Method Based on the Modified Ensemble Empirical Mode Decomposition and Wavelet Kernel Extreme Learning Machine Methods. [PDF]
Li Z, Jiang W, Zhang S, Sun Y, Zhang S.
europepmc +1 more source
The Impact of Uncertainty on Forecasting the US Economy
ABSTRACT This paper examines the predictive value of uncertainty measures for key macroeconomic indicators across multiple forecast horizons. We evaluate how different uncertainty proxies—economic policy uncertainty (EPU), VIX, geopolitical risk, and measures of macroeconomic and financial uncertainty—enhance forecast accuracy for industrial production,
Angelica Ghiselli
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Estimating Heart Rate and Respiratory Rate from a Single Lead Electrocardiogram Using Ensemble Empirical Mode Decomposition and Spectral Data Fusion. [PDF]
Chung IQ, Yu JT, Hu WC.
europepmc +1 more source
Point and Risk estImation Using an enSemble of Models for Nowcasting: PRISM‐Now
ABSTRACT We propose PRISM‐Now, a novel ensemble forecasting system for near‐term GDP projection. Recognizing that relevant economic information evolves over time, we treat forecasts from multiple base models as draws from a mixture distribution of “good” and “bad” estimates, whose composition changes continuously and cannot be identified ex ante.
Beomseok Seo, Hyungbae Cho, Dongjae Lee
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